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web3xJq
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web3xJq

專注 BTC 日內交易 SMC 打法|分享鏈上資訊與潛力項目介紹|內容僅供參考,非投資建議| My shared content Not Financial Advice | Base in MY🇲🇾 |X:@web3xJQ
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Pork Knuckle Rice, Two Plates (Full Version) Grab the pork knuckle rice, two plates! Should I grab the airdrop or wait for the TGE, caught in a dilemma. Selling high always profits, the big players continue to drive the market, Points keep getting brushed down, I continue to grab two plates! To those who are still persisting in brushing points and daily grabbing, a tune 🎵 #ALPHA
Pork Knuckle Rice, Two Plates (Full Version)
Grab the pork knuckle rice, two plates!
Should I grab the airdrop or wait for the TGE, caught in a dilemma.
Selling high always profits, the big players continue to drive the market,
Points keep getting brushed down, I continue to grab two plates!

To those who are still persisting in brushing points and daily grabbing, a tune 🎵
#ALPHA
$BEM keeps adding more~
$BEM keeps adding more~
Tonight BTC and ETH continue to weaken. I’m more inclined to interpret this move as: macroeconomic pressure + ETF outflows + the continuation of long-squeeze/liquidation. This isn’t the sudden appearance of a brand-new negative catalyst. On the macro front, Middle East risks are still pushing oil prices up, while long-term U.S. Treasury yields remain elevated. For BTC and ETH—risk assets with no coupon/interest—the 5%+ risk-free yield environment by itself continues to weigh on valuations. At the same time, what was released last night was the September meeting minutes, not a new rate-hike decision. The market right now seems more like it’s repricing: The Fed can wait, but the high-rate environment won’t end quickly. That remains unfriendly to risk appetite. There’s also another layer of pressure coming from leverage and ETFs. Spot BTC and ETH ETFs are seeing outflows at the same time. Institutional buying hasn’t stepped in to absorb it in time. So after BTC repeatedly failed to break through highs, it fell below 84K and 83K, and then moved further down to test the 81K area. From a technical perspective, a few levels are currently especially important: 81.27–81.62K This is the management zone I’ve been watching previously, and it’s also close to the 4H EMA200. Now that price has broken below it, the most important thing isn’t the “breakdown” itself, but whether: the rebound can get back above it. If BTC rebounds to this area and then shows: rejection → lower high → failed retest then the former support zone is very likely to start turning into resistance. In that case, continue to watch lower levels: 80.9K → 80K → 79.4K But I won’t immediately chase a short here. The reason is simple: 1H RSI has already entered a clearly oversold region, and 4H is also weak—so a fast rebound can happen at any time. So we also need to be prepared for another scenario: If BTC can regain and hold above 81.6K, and on the 1H timeframe forms a higher low, then this latest breakdown could turn out to have the characteristics of a liquidity sweep. In that case, the rebound room could first be: 82K → 82.8K So my current view is: The bigger structure remains bearish, but 80.9–81.6K has already entered an area where rebounds are easier to occur. Treat trend and positioning separately. The easiest way to make a mistake now isn’t getting the direction wrong—it’s continuing to chase entries emotionally in a spot that’s already oversold. First, whether 81.27–81.62K can be reclaimed. Second, when 80.9K is tested again, whether sell pressure keeps expanding. If it can get back above, then first respect the rebound. Direction remains bearish, but for now, wait for price to confirm on its own.
Tonight BTC and ETH continue to weaken. I’m more inclined to interpret this move as:

macroeconomic pressure + ETF outflows + the continuation of long-squeeze/liquidation.

This isn’t the sudden appearance of a brand-new negative catalyst.

On the macro front, Middle East risks are still pushing oil prices up, while long-term U.S. Treasury yields remain elevated. For BTC and ETH—risk assets with no coupon/interest—the 5%+ risk-free yield environment by itself continues to weigh on valuations.

At the same time, what was released last night was the September meeting minutes, not a new rate-hike decision. The market right now seems more like it’s repricing:

The Fed can wait, but the high-rate environment won’t end quickly.

That remains unfriendly to risk appetite.

There’s also another layer of pressure coming from leverage and ETFs.

Spot BTC and ETH ETFs are seeing outflows at the same time. Institutional buying hasn’t stepped in to absorb it in time. So after BTC repeatedly failed to break through highs, it fell below 84K and 83K, and then moved further down to test the 81K area.

From a technical perspective, a few levels are currently especially important:

81.27–81.62K

This is the management zone I’ve been watching previously, and it’s also close to the 4H EMA200.

Now that price has broken below it, the most important thing isn’t the “breakdown” itself, but whether:

the rebound can get back above it.

If BTC rebounds to this area and then shows:

rejection → lower high → failed retest

then the former support zone is very likely to start turning into resistance.

In that case, continue to watch lower levels:

80.9K → 80K → 79.4K

But I won’t immediately chase a short here.

The reason is simple:

1H RSI has already entered a clearly oversold region, and 4H is also weak—so a fast rebound can happen at any time.

So we also need to be prepared for another scenario:

If BTC can regain and hold above 81.6K, and on the 1H timeframe forms a higher low, then this latest breakdown could turn out to have the characteristics of a liquidity sweep.

In that case, the rebound room could first be:

82K → 82.8K

So my current view is:

The bigger structure remains bearish, but 80.9–81.6K has already entered an area where rebounds are easier to occur.

Treat trend and positioning separately.

The easiest way to make a mistake now isn’t getting the direction wrong—it’s continuing to chase entries emotionally in a spot that’s already oversold.

First, whether 81.27–81.62K can be reclaimed.

Second, when 80.9K is tested again, whether sell pressure keeps expanding.

If it can get back above, then first respect the rebound.

Direction remains bearish, but for now, wait for price to confirm on its own.
U.S. stocks are in risk-on mode, but crypto hasn’t fully joined in SPY is up about 0.7%, QQQ is up 0.7%, and NVDA and AMD are up around 1.3% and 2.0%, respectively. Watch whether BTC can break above its intraday high near 86.45K. If U.S. stocks continue to strengthen while BTC still can’t recover, the divergence is worth keeping in mind. AI infrastructure is entering a very practical new phase: having the money to buy GPUs doesn’t mean the power grid will necessarily let you turn them all on. The new Google–Constellation agreements cover a combined 3.59 GW, but it’s important to distinguish between the two parts. One part is an 890 MW upgrade across 11 existing nuclear units in Illinois, Pennsylvania, and New Jersey, covered by a 20-year PPA signed by Google. The first tranche of added capacity is not expected to come online until 2028. The other part is an additional 2.7 GW of power supply in the PJM region over 15 years. It should not all be described as new nuclear power. The agreements will support more than $4.3 billion in investment by Constellation. More importantly, they directly address PJM’s “Bring Your Own Power” framework: large data centers that don’t bring reliable new supply online at the same time may face power curtailments when the system is under strain. The market reaction was immediate. CEG rose about 13.7% to $304.31, while GOOGL was roughly flat. My read is that AI CapEx is shifting from “how much compute to buy” to “who can secure power and grid access in advance.” For now, the market sees more of the scarcity premium and long-term contracted revenue accruing to power generators. But it would be a mistake to attribute all of CEG’s gains to an AI narrative. Greater long-term revenue certainty, the scale of the $4.3 billion investment, and positioning ahead of the announcement may also have contributed to the valuation. Next, watch: * Whether the nuclear upgrades receive approval and are delivered on the 2028 timeline; * Whether more hyperscalers replicate this kind of long-term agreement; * Whether PJM formally makes “bring your own power” a standard requirement for data centers. If the deal is signed but capacity never comes online, this remains a story about the distant future. If more AI companies begin directly funding new generation, power will no longer be just a cost item—it will become the price of admission for AI growth.
U.S. stocks are in risk-on mode, but crypto hasn’t fully joined in

SPY is up about 0.7%, QQQ is up 0.7%, and NVDA and AMD are up around 1.3% and 2.0%, respectively.

Watch whether BTC can break above its intraday high near 86.45K. If U.S. stocks continue to strengthen while BTC still can’t recover, the divergence is worth keeping in mind.

AI infrastructure is entering a very practical new phase: having the money to buy GPUs doesn’t mean the power grid will necessarily let you turn them all on.

The new Google–Constellation agreements cover a combined 3.59 GW, but it’s important to distinguish between the two parts.

One part is an 890 MW upgrade across 11 existing nuclear units in Illinois, Pennsylvania, and New Jersey, covered by a 20-year PPA signed by Google. The first tranche of added capacity is not expected to come online until 2028.

The other part is an additional 2.7 GW of power supply in the PJM region over 15 years. It should not all be described as new nuclear power.

The agreements will support more than $4.3 billion in investment by Constellation. More importantly, they directly address PJM’s “Bring Your Own Power” framework: large data centers that don’t bring reliable new supply online at the same time may face power curtailments when the system is under strain.

The market reaction was immediate.

CEG rose about 13.7% to $304.31, while GOOGL was roughly flat.

My read is that AI CapEx is shifting from “how much compute to buy” to “who can secure power and grid access in advance.” For now, the market sees more of the scarcity premium and long-term contracted revenue accruing to power generators.

But it would be a mistake to attribute all of CEG’s gains to an AI narrative. Greater long-term revenue certainty, the scale of the $4.3 billion investment, and positioning ahead of the announcement may also have contributed to the valuation.

Next, watch:

* Whether the nuclear upgrades receive approval and are delivered on the 2028 timeline;
* Whether more hyperscalers replicate this kind of long-term agreement;
* Whether PJM formally makes “bring your own power” a standard requirement for data centers.

If the deal is signed but capacity never comes online, this remains a story about the distant future. If more AI companies begin directly funding new generation, power will no longer be just a cost item—it will become the price of admission for AI growth.
Tonight’s most worth watching in U.S. stocks isn’t how much Nasdaq is down—but the sudden reversal of capital direction inside AI Trading. After multiple AI leaders support slowing down the development of frontier models, capital first pulled out from semiconductors and AI infrastructure: SMH fell about 4.4%, NVDA about 3.4%, while AMD, MU, and MRVL fell nearly 6%. Memory/Storage was also weak—SNDK, WDC, and STX dropped roughly 4%–5%. But the market didn’t sell the entire tech sector together. ServiceNow and Adobe rose about 4.6% and 3.5% respectively; CrowdStrike even surged about 12%. Healthcare and Consumer Staples also received defensive inflows. This reversal is interesting. The trade Astra brought on September 8 was: AI capabilities accelerate → software disruption → buy hardware, sell software. But what the market is trading tonight is: AI development may slow down → reassess infrastructure CapEx → pressure from software disruption eases temporarily. So what the market is doing with price discovery right now isn’t asking whether “AI still has a future,” but—after the change in AI development pace—who’s expectation needs to be adjusted the most. That said, I won’t attribute tonight’s entire selloff to AI safety. Brent has risen to around $109, and the 10-year Treasury yield officially broke above 5%. The market’s pricing for this week’s Fed rate hike is close to 89%. Oil prices, interest rates, and crowded positioning are all alternative explanations that exist at the same time. Next, watch for two confirmations: * Whether chip stocks can reclaim the opening range before the close; * Whether software and cybersecurity can hold most of their gains. Only if both hold true can it mean the market has genuinely shifted its track from AI hardware toward applications and the security layer. If software gains quickly give back, tonight may just be a round of headline-driven short covering. A further confirmation on BTC comes only if it breaks through and holds 78,630–80,000. Falling back below the intraday low of 76,439 would mean the move fails and turns into a breakdown. This week’s Fed decision and the Clarity Act procedural vote could still amplify volatility.
Tonight’s most worth watching in U.S. stocks isn’t how much Nasdaq is down—but the sudden reversal of capital direction inside AI Trading.

After multiple AI leaders support slowing down the development of frontier models, capital first pulled out from semiconductors and AI infrastructure:

SMH fell about 4.4%, NVDA about 3.4%, while AMD, MU, and MRVL fell nearly 6%. Memory/Storage was also weak—SNDK, WDC, and STX dropped roughly 4%–5%.

But the market didn’t sell the entire tech sector together.

ServiceNow and Adobe rose about 4.6% and 3.5% respectively; CrowdStrike even surged about 12%. Healthcare and Consumer Staples also received defensive inflows.

This reversal is interesting.

The trade Astra brought on September 8 was:

AI capabilities accelerate → software disruption → buy hardware, sell software.

But what the market is trading tonight is:

AI development may slow down → reassess infrastructure CapEx → pressure from software disruption eases temporarily.

So what the market is doing with price discovery right now isn’t asking whether “AI still has a future,” but—after the change in AI development pace—who’s expectation needs to be adjusted the most.

That said, I won’t attribute tonight’s entire selloff to AI safety.

Brent has risen to around $109, and the 10-year Treasury yield officially broke above 5%. The market’s pricing for this week’s Fed rate hike is close to 89%. Oil prices, interest rates, and crowded positioning are all alternative explanations that exist at the same time.

Next, watch for two confirmations:

* Whether chip stocks can reclaim the opening range before the close;
* Whether software and cybersecurity can hold most of their gains.

Only if both hold true can it mean the market has genuinely shifted its track from AI hardware toward applications and the security layer. If software gains quickly give back, tonight may just be a round of headline-driven short covering.

A further confirmation on BTC comes only if it breaks through and holds 78,630–80,000. Falling back below the intraday low of 76,439 would mean the move fails and turns into a breakdown. This week’s Fed decision and the Clarity Act procedural vote could still amplify volatility.
TapeOut This Week Highlight ✨ This week, what I think is most worth watching isn’t the addition of another new Narrative—it’s that TapeOut has finally started truly filling in the “usage layer.” 1|Fabrication officially enters Open Beta After the testing period ends, fabrication will begin connecting the protocol fees. Some of the future fees will flow into the $BEM buyback / burn logic. This means BEM’s value capture is starting to shift from “imagined” to “protocol revenue.” 2|Third parties are really starting to build things with TapeOut Microduck, Five in a Row, 3D games, Explorer, Market, NANDPU…… The most interesting thing lately isn’t “what else TapeOut can do,” but rather: What others are starting to do with TapeOut. 3|BEM is moving toward truly ungovernable The proposal to relinquish management rights has been submitted and is expected to take effect officially on 9/14. If it goes smoothly, BEM’s supply, output curve, and core rules will shift from “trust the team won’t change it” to “no one can change it.” Also, UPay has announced its collaboration with TapeOut to pay cards. Right now it’s still just a partnership announcement, but from Circuit, Container, Linux, to payments and third-party applications—the whole line is beginning to slowly connect. 4|I also haven’t been idle this week Those three TapeOut Circuits in the FOMO Trenches have already moved from “it can run” to the stage of “begin training Gen.” Next, we’ll see whether the results after training are more stable—or if it tells me: this path should be changed. I actually really like this kind of process: building on the go, testing on the go, and overturning your own work on the go. The biggest feeling I have this week is: TapeOut is starting to move from “can we make it” to “will anyone truly keep using it.” Next week, I’ll look at three things: BEM relinquishing rights officially taking effect, the official Launchpad, and whether UPay has more implementation details. First, let the usage layer grow out. #TapeOut #BEM
TapeOut This Week Highlight ✨

This week, what I think is most worth watching isn’t the addition of another new Narrative—it’s that TapeOut has finally started truly filling in the “usage layer.”

1|Fabrication officially enters Open Beta
After the testing period ends, fabrication will begin connecting the protocol fees. Some of the future fees will flow into the $BEM buyback / burn logic.
This means BEM’s value capture is starting to shift from “imagined” to “protocol revenue.”

2|Third parties are really starting to build things with TapeOut
Microduck, Five in a Row, 3D games, Explorer, Market, NANDPU……
The most interesting thing lately isn’t “what else TapeOut can do,” but rather:

What others are starting to do with TapeOut.

3|BEM is moving toward truly ungovernable
The proposal to relinquish management rights has been submitted and is expected to take effect officially on 9/14.
If it goes smoothly, BEM’s supply, output curve, and core rules will shift from “trust the team won’t change it” to “no one can change it.”

Also, UPay has announced its collaboration with TapeOut to pay cards.
Right now it’s still just a partnership announcement, but from Circuit, Container, Linux, to payments and third-party applications—the whole line is beginning to slowly connect.

4|I also haven’t been idle this week
Those three TapeOut Circuits in the FOMO Trenches have already moved from “it can run” to the stage of “begin training Gen.”

Next, we’ll see whether the results after training are more stable—or if it tells me: this path should be changed.

I actually really like this kind of process: building on the go, testing on the go, and overturning your own work on the go.

The biggest feeling I have this week is:

TapeOut is starting to move from “can we make it” to “will anyone truly keep using it.”

Next week, I’ll look at three things:
BEM relinquishing rights officially taking effect, the official Launchpad, and whether UPay has more implementation details.

First, let the usage layer grow out. #TapeOut #BEM
When Saudi Arabia shut the East–West Pipeline yesterday, the market still did not know how long the outage would last. More important information has emerged today: Reuters, citing industry sources familiar with Saudi exports, said that current inventories at the Yanbu port can only support exports for about 5–7 days. If the pipeline is not restored in time, it could remove as much as around 4% of global oil supply from the market. That turns the whole situation from a one-off infrastructure attack into a countdown between inventory levels and repair speed. Estimates for the repair timeline vary widely among sources. One possibility is that partial throughput is restored during the repair period; the more pessimistic view is that full repairs could take five to six weeks. The Saudi authorities have not yet released details on the extent of the damage or provided a clear schedule, so neither outcome can be treated as fact in advance. The problem is that other export routes have not improved in tandem. On Sunday, ships were again hit by projectiles near Hormuz and caught fire; the crew has already evacuated. On the Red Sea side, shipping pressure remains from the Houthis controlling Perim Island. Saudi markets moved first: TASI fell about 1% early on, Aramco dropped 1.1%, and Rabigh Refining slid 7.3%. But the most critical—Brent, U.S. Treasuries, and U.S. equities—have not opened yet, so the market’s main price discovery has not started globally. Crypto has only weakened to a limited extent: BTC is around $76,700, ETH has fallen below $2,500, and BNB is down about 2.8%. That is not enough to show that the macro market has fully priced in the move, nor can we predict how Monday’s opening will look based solely on weekend prices. Next, focus on three things: * Whether Saudi Arabia announces partial restoration of pipeline throughput; * Whether the Oman meeting can deliver actionable Hormuz shipping arrangements; * After Brent opens, whether it holds above $105 and whether the 10Y yield again challenges 5%. If the pipeline is restored quickly, the risk premium could unwind fast. If the 5–7 day inventory countdown starts nearing its end, the market recalculation would not be just about oil prices—it would be about inflation, the Fed, and the valuation of the entire Risk Asset complex.
When Saudi Arabia shut the East–West Pipeline yesterday, the market still did not know how long the outage would last.

More important information has emerged today: Reuters, citing industry sources familiar with Saudi exports, said that current inventories at the Yanbu port can only support exports for about 5–7 days. If the pipeline is not restored in time, it could remove as much as around 4% of global oil supply from the market.

That turns the whole situation from a one-off infrastructure attack into a countdown between inventory levels and repair speed.

Estimates for the repair timeline vary widely among sources. One possibility is that partial throughput is restored during the repair period; the more pessimistic view is that full repairs could take five to six weeks. The Saudi authorities have not yet released details on the extent of the damage or provided a clear schedule, so neither outcome can be treated as fact in advance.

The problem is that other export routes have not improved in tandem.

On Sunday, ships were again hit by projectiles near Hormuz and caught fire; the crew has already evacuated. On the Red Sea side, shipping pressure remains from the Houthis controlling Perim Island.

Saudi markets moved first: TASI fell about 1% early on, Aramco dropped 1.1%, and Rabigh Refining slid 7.3%. But the most critical—Brent, U.S. Treasuries, and U.S. equities—have not opened yet, so the market’s main price discovery has not started globally.

Crypto has only weakened to a limited extent: BTC is around $76,700, ETH has fallen below $2,500, and BNB is down about 2.8%. That is not enough to show that the macro market has fully priced in the move, nor can we predict how Monday’s opening will look based solely on weekend prices.

Next, focus on three things:

* Whether Saudi Arabia announces partial restoration of pipeline throughput;
* Whether the Oman meeting can deliver actionable Hormuz shipping arrangements;
* After Brent opens, whether it holds above $105 and whether the 10Y yield again challenges 5%.

If the pipeline is restored quickly, the risk premium could unwind fast. If the 5–7 day inventory countdown starts nearing its end, the market recalculation would not be just about oil prices—it would be about inflation, the Fed, and the valuation of the entire Risk Asset complex.
Weekend energy risk is up another notch, but true price discovery will have to wait until Monday. After drone attacks, Saudi Arabia temporarily shut down the East–West Pipeline, about 1,200 kilometers long, as a precaution. The pipeline recently carries roughly 4–5% of global oil supply, with around 4–5 million barrels per day. What matters isn’t just the attacked facilities—it’s their role within the entire supply network. After Hormuz shipping was disrupted, the East–West Pipeline became Saudi Arabia’s main alternative route for exporting crude oil to the Red Sea and bypassing the Strait. Now this standby corridor is paused, and at the same time the Houthis have seized Perim Island near Bab el-Mandeb. One route is the land pipeline bypassing Hormuz, and the other is the Red Sea outlet. Both are beginning to face pressure. But for now, we can’t directly claim that a new round of oil price surge has already taken place. Crude oil futures, U.S. stocks, and U.S. Treasuries are all closed for the weekend. Brent ended Friday at $104.61, already up more than 8% on the week. BTC is around $77,319, down only about 0.6% on the day; ETH and BNB are even still rising. This could mean Crypto is not experiencing further panic, or it could simply be that weekend liquidity is thinner while the major macro markets haven’t opened yet. On Monday, the main things to watch are: * Whether Brent gaps up and holds above $105; * Whether the 10Y yield moves back toward or breaks above 5%; * Whether BTC can hold today’s low of about $76,952; * When Saudi Arabia restarts the pipeline, and whether the shutdown actually affects export volumes. If the pipeline returns quickly, the geopolitical risk premium could unwind. If the outage lasts longer, what markets will need to reprice won’t just be oil, but also inflation, the Fed, and valuations for all long-duration assets.
Weekend energy risk is up another notch, but true price discovery will have to wait until Monday.

After drone attacks, Saudi Arabia temporarily shut down the East–West Pipeline, about 1,200 kilometers long, as a precaution. The pipeline recently carries roughly 4–5% of global oil supply, with around 4–5 million barrels per day.

What matters isn’t just the attacked facilities—it’s their role within the entire supply network.

After Hormuz shipping was disrupted, the East–West Pipeline became Saudi Arabia’s main alternative route for exporting crude oil to the Red Sea and bypassing the Strait. Now this standby corridor is paused, and at the same time the Houthis have seized Perim Island near Bab el-Mandeb.

One route is the land pipeline bypassing Hormuz, and the other is the Red Sea outlet. Both are beginning to face pressure.

But for now, we can’t directly claim that a new round of oil price surge has already taken place.

Crude oil futures, U.S. stocks, and U.S. Treasuries are all closed for the weekend. Brent ended Friday at $104.61, already up more than 8% on the week. BTC is around $77,319, down only about 0.6% on the day; ETH and BNB are even still rising.

This could mean Crypto is not experiencing further panic, or it could simply be that weekend liquidity is thinner while the major macro markets haven’t opened yet.

On Monday, the main things to watch are:

* Whether Brent gaps up and holds above $105;
* Whether the 10Y yield moves back toward or breaks above 5%;
* Whether BTC can hold today’s low of about $76,952;
* When Saudi Arabia restarts the pipeline, and whether the shutdown actually affects export volumes.

If the pipeline returns quickly, the geopolitical risk premium could unwind. If the outage lasts longer, what markets will need to reprice won’t just be oil, but also inflation, the Fed, and valuations for all long-duration assets.
Article
I’m still researching on-chain AI, and TapeOut has already booted LinuxIn the previous post, I was still researching TapeOut V2’s BNN, LUT, and the component equipment warehouse. At the time, my understanding was: Developers design components, factories purchase manufacturing capacity, users mint the components, assemble circuits, and finally someone uses these circuits to build applications. It sounds like an on-chain hardware version of the App Store. After writing the article, I left myself with a question: What exactly will people build with all these things? As it turns out, over the past few days, when I opened Blonskr’s Twitter again, the art style changed once more. The circuit repository is live. Linux is up and running. Someone used 21 NAND gates to make a small car steering control.

I’m still researching on-chain AI, and TapeOut has already booted Linux

In the previous post, I was still researching TapeOut V2’s BNN, LUT, and the component equipment warehouse.
At the time, my understanding was:
Developers design components, factories purchase manufacturing capacity, users mint the components, assemble circuits, and finally someone uses these circuits to build applications.
It sounds like an on-chain hardware version of the App Store.
After writing the article, I left myself with a question:
What exactly will people build with all these things?
As it turns out, over the past few days, when I opened Blonskr’s Twitter again, the art style changed once more.
The circuit repository is live.
Linux is up and running.
Someone used 21 NAND gates to make a small car steering control.
Tonight, oil prices remained around $100. After the U.S. stock market opened, most sectors weakened, but Meta bucked the trend and surged nearly 5%, once becoming the best-performing stock in the S&P 500. In the market’s Price Discovery, it may not be a matter of Muse’s model capability. Instead, Meta has finally created a direct, payable product entry point for its massive AI investment. Muse doesn’t just answer questions. It can connect with email, calendars, shopping, health, and payment services—replacing the browser experience for users, filling out forms, scheduling appointments, sending emails, and completing purchases. Besides the free version, there are also subscription plans of $20 and $100 per month. This is fundamentally different from a typical chatbot: A chatbot gives you answers, while an agent—once granted permission—takes actions on your behalf. Meta’s advantage isn’t just in the model either. Together, WhatsApp, Facebook, and Instagram provide distribution channels that other agents can be far more difficult to replicate. If only a small portion of users are willing to pay, Muse could give this year’s more than $130 billion in AI infrastructure investment its first clearer monetisation story. But the same capability is also its biggest risk. Meta says Muse runs in a separate Secure VM, and sensitive actions require user confirmation. However, Reuters, after reviewing internal tests it obtained, found reliability issues still occurring and cases where sensitive data was accidentally exposed. So I think in the age of agents, what ultimately matters may not be Intelligence alone. It’s: who can make users feel comfortable handing over permissions for email, accounts, payments, and real-world actions. Meta’s stock price reaction tonight suggests at least that the market is willing to pay a little up front for this possibility. Next, what really matters will be user retention, paid conversion, and whether security incidents will grow faster than product adoption.
Tonight, oil prices remained around $100. After the U.S. stock market opened, most sectors weakened, but Meta bucked the trend and surged nearly 5%, once becoming the best-performing stock in the S&P 500.

In the market’s Price Discovery, it may not be a matter of Muse’s model capability. Instead, Meta has finally created a direct, payable product entry point for its massive AI investment.

Muse doesn’t just answer questions. It can connect with email, calendars, shopping, health, and payment services—replacing the browser experience for users, filling out forms, scheduling appointments, sending emails, and completing purchases. Besides the free version, there are also subscription plans of $20 and $100 per month.

This is fundamentally different from a typical chatbot:

A chatbot gives you answers, while an agent—once granted permission—takes actions on your behalf.

Meta’s advantage isn’t just in the model either. Together, WhatsApp, Facebook, and Instagram provide distribution channels that other agents can be far more difficult to replicate.

If only a small portion of users are willing to pay, Muse could give this year’s more than $130 billion in AI infrastructure investment its first clearer monetisation story.

But the same capability is also its biggest risk.

Meta says Muse runs in a separate Secure VM, and sensitive actions require user confirmation. However, Reuters, after reviewing internal tests it obtained, found reliability issues still occurring and cases where sensitive data was accidentally exposed.

So I think in the age of agents, what ultimately matters may not be Intelligence alone.

It’s: who can make users feel comfortable handing over permissions for email, accounts, payments, and real-world actions.

Meta’s stock price reaction tonight suggests at least that the market is willing to pay a little up front for this possibility. Next, what really matters will be user retention, paid conversion, and whether security incidents will grow faster than product adoption.
Verified
What to watch most after tonight’s U.S. stock market opens isn’t how much the overall market is down, but what investors are still willing to buy despite the pressure. Brent crude oil briefly pushed close to $100, and the 10-year Treasury yield is still around 4.79%. This combination brings back inflation and the pressure of “higher for longer”: DIA is down more than 1%, and SPY, financial stocks, and Crypto stocks are also relatively weak. But semiconductors show clear divergence. Amazon and Qualcomm announced a partnership to develop custom AI inference chips, along with an optical interconnect solution of up to 1.6Tbps. Amazon also received warrants that allow it to purchase up to 25 million shares of QCOM. Potential business tied to this cooperation could be as high as $60 billion. After QCOM opened, it initially surged to nearly +11%, then pulled back to about +5%. AMD and STX also moved higher, and SMH remained up, but NVDA fell by more than 1% instead. This doesn’t look like the market is broadly and indiscriminately chasing AI again. It’s more like the market is re-scrutinizing AI infrastructure: Who provides inference, who gets custom silicon orders, and who solves the connectivity and storage bottlenecks—money flows to whoever can deliver. So I won’t treat tonight as “Risk-off for AI” for now. A more accurate way to put it is: The macro backdrop is raising the valuation bar, and the market is starting to be more selective about AI winners. QCOM’s opening spike has already clearly narrowed, and I’m not rushing to chase it. Next, I’ll watch whether it can reclaim the roughly $180 opening area; if it can’t, it would suggest that most of the good news has already been priced in ahead of time.
What to watch most after tonight’s U.S. stock market opens isn’t how much the overall market is down, but what investors are still willing to buy despite the pressure.

Brent crude oil briefly pushed close to $100, and the 10-year Treasury yield is still around 4.79%. This combination brings back inflation and the pressure of “higher for longer”: DIA is down more than 1%, and SPY, financial stocks, and Crypto stocks are also relatively weak.

But semiconductors show clear divergence.

Amazon and Qualcomm announced a partnership to develop custom AI inference chips, along with an optical interconnect solution of up to 1.6Tbps. Amazon also received warrants that allow it to purchase up to 25 million shares of QCOM. Potential business tied to this cooperation could be as high as $60 billion.

After QCOM opened, it initially surged to nearly +11%, then pulled back to about +5%. AMD and STX also moved higher, and SMH remained up, but NVDA fell by more than 1% instead.

This doesn’t look like the market is broadly and indiscriminately chasing AI again. It’s more like the market is re-scrutinizing AI infrastructure:

Who provides inference, who gets custom silicon orders, and who solves the connectivity and storage bottlenecks—money flows to whoever can deliver.

So I won’t treat tonight as “Risk-off for AI” for now. A more accurate way to put it is:

The macro backdrop is raising the valuation bar, and the market is starting to be more selective about AI winners.

QCOM’s opening spike has already clearly narrowed, and I’m not rushing to chase it. Next, I’ll watch whether it can reclaim the roughly $180 opening area; if it can’t, it would suggest that most of the good news has already been priced in ahead of time.
·
--
Bearish
BNB seems to have really started moving Today BNB surged all the way to around $750, with the daily chart re-accelerating and already testing the previous high area. What’s more interesting is not just BNB rising on its own, but the timing: After BTC rallied from the $60k range to around $80k, it is now consolidating at high levels; meanwhile, BNB has started to show clear strength. At times like this, I start paying attention to one thing: whether capital is rotating. If BTC does not continue breaking out significantly next, but instead moves sideways at high levels, while the BNB / BSC ecosystem takes over, then the market may be spreading from BTC into higher-beta assets. Of course, it is still too early to say “BTC has topped.” BNB’s daily chart is also already pretty hot, and the short-term RSI is at elevated levels, so I wouldn’t chase a big green candle here. What I’m mainly watching next are two things: Whether BNB can truly hold above $750–760; and whether BTC can continue to defend its key structure. If BTC starts to weaken while BNB / BSC keeps accelerating, then this rotation signal will be worth taking seriously. Could BNB’s move also be a signal of BTC forming a stage top? $BNB {future}(BNBUSDT)
BNB seems to have really started moving

Today BNB surged all the way to around $750, with the daily chart re-accelerating and already testing the previous high area.

What’s more interesting is not just BNB rising on its own, but the timing:

After BTC rallied from the $60k range to around $80k, it is now consolidating at high levels; meanwhile, BNB has started to show clear strength.

At times like this, I start paying attention to one thing: whether capital is rotating.

If BTC does not continue breaking out significantly next, but instead moves sideways at high levels, while the BNB / BSC ecosystem takes over, then the market may be spreading from BTC into higher-beta assets.

Of course, it is still too early to say “BTC has topped.”

BNB’s daily chart is also already pretty hot, and the short-term RSI is at elevated levels, so I wouldn’t chase a big green candle here.

What I’m mainly watching next are two things:

Whether BNB can truly hold above $750–760; and whether BTC can continue to defend its key structure.

If BTC starts to weaken while BNB / BSC keeps accelerating, then this rotation signal will be worth taking seriously.

Could BNB’s move also be a signal of BTC forming a stage top?
$BNB
What was most worth watching last night was that when the broader market was falling, people were still buying Memory stocks. On 9/4 at the U.S. regular close, SNDK rose 11.9%, and MU rose 6.1%. Put together with the broader market, it almost looked like two different markets. Macro pressure is definitely there. U.S. nonfarm payrolls increased by 162,000 in August, and the unemployment rate held at 4.1%. The labor market has not clearly cooled, so the market also has to reassess how much room the Fed has to ease going forward. But under that backdrop, memory stocks still strengthened. My read is that the market is becoming more selective about AI beneficiaries: which companies may capture real demand, and which companies, although also talking about AI, are at the same time facing pressure from competition and their business models. This is an observation based on price divergence, and it still cannot be confirmed from just one day’s move that capital has already shifted for the long term. Next, I’ll first watch whether hardware can continue to outperform the broader market, and whether there is support on pullbacks. Then, combined with next week’s inflation data, I’ll see whether these stocks can still maintain relative strength when interest-rate pressure intensifies. If the gains are quickly given back, I’ll first interpret it as a short-term rotation. The direction is interesting, but the entry level still matters. Seeing a stock rise against the trend doesn’t mean you should chase it. $SNDK {future}(SNDKUSDT)
What was most worth watching last night was that when the broader market was falling, people were still buying Memory stocks.

On 9/4 at the U.S. regular close, SNDK rose 11.9%, and MU rose 6.1%. Put together with the broader market, it almost looked like two different markets.

Macro pressure is definitely there. U.S. nonfarm payrolls increased by 162,000 in August, and the unemployment rate held at 4.1%. The labor market has not clearly cooled, so the market also has to reassess how much room the Fed has to ease going forward.

But under that backdrop, memory stocks still strengthened.

My read is that the market is becoming more selective about AI beneficiaries: which companies may capture real demand, and which companies, although also talking about AI, are at the same time facing pressure from competition and their business models.

This is an observation based on price divergence, and it still cannot be confirmed from just one day’s move that capital has already shifted for the long term.

Next, I’ll first watch whether hardware can continue to outperform the broader market, and whether there is support on pullbacks. Then, combined with next week’s inflation data, I’ll see whether these stocks can still maintain relative strength when interest-rate pressure intensifies.

If the gains are quickly given back, I’ll first interpret it as a short-term rotation.

The direction is interesting, but the entry level still matters. Seeing a stock rise against the trend doesn’t mean you should chase it.
$SNDK
Article
《I originally thought TapeOut V2 was just adding a few components, but then I realized it wanted to open up the whole factory》In the previous two articles, I went from NAND and LATCH all the way to PoD, $BEM, and BNN. At first, I understood TapeOut as: Electronic Lego on the chain. You buy components, connect circuits, test them, and tape them out—until you finally get a Circuit NFT. Then later, when PoD went live, these circuits could be turned into mining rigs again, and started to dig out $BEM . Later on, TapeOut announced the component equipment warehouse. the processor creators can burn $BEM , buying new manufacturing capabilities for my own factory, such as BNN and other components. When I got to this part, I thought I’d probably already understood V2: TapeOut is preparing to add some stronger components.

《I originally thought TapeOut V2 was just adding a few components, but then I realized it wanted to open up the whole factory》

In the previous two articles, I went from NAND and LATCH all the way to PoD, $BEM, and BNN.
At first, I understood TapeOut as:
Electronic Lego on the chain.
You buy components, connect circuits, test them, and tape them out—until you finally get a Circuit NFT.
Then later, when PoD went live, these circuits could be turned into mining rigs again, and started to dig out
$BEM
.
Later on, TapeOut announced the component equipment warehouse.
the processor creators can burn
$BEM
, buying new manufacturing capabilities for my own factory, such as BNN and other components.
When I got to this part, I thought I’d probably already understood V2:
TapeOut is preparing to add some stronger components.
The United States is starting to push its own AI rules out to the world. Next week, the G20 innovation ministers’ meeting will be held, with Elon Musk, David Sacks, Sam Altman, and Jensen Huang all in attendance. But what’s really worth watching isn’t the star-studded lineup—it’s the “Carolina Principles” the U.S. is preparing to advance: Not rushing to create new AI regulatory bodies, using existing industry regulators as much as possible, testing new technologies with the government and companies together, and the core goal is still—don’t let regulation run ahead of innovation. In essence, this is the international version of the Trump administration’s domestic AI approach. If it ultimately does make it into a joint G20 statement, the significance won’t be just that the U.S. is “easing AI regulation,” but rather: The U.S. is beginning to try turning its AI governance framework into the global default template. The next phase of competition in AI may not be only about models, chips, and computing power. Even the rules themselves are starting to become a country’s competitive strength. With Musk + Altman + Jensen on the same stage, the meeting in September should be worth watching.
The United States is starting to push its own AI rules out to the world.

Next week, the G20 innovation ministers’ meeting will be held, with Elon Musk, David Sacks, Sam Altman, and Jensen Huang all in attendance.

But what’s really worth watching isn’t the star-studded lineup—it’s the “Carolina Principles” the U.S. is preparing to advance:

Not rushing to create new AI regulatory bodies,
using existing industry regulators as much as possible,
testing new technologies with the government and companies together,
and the core goal is still—don’t let regulation run ahead of innovation.

In essence, this is the international version of the Trump administration’s domestic AI approach.

If it ultimately does make it into a joint G20 statement, the significance won’t be just that the U.S. is “easing AI regulation,” but rather:

The U.S. is beginning to try turning its AI governance framework into the global default template.

The next phase of competition in AI may not be only about models, chips, and computing power.

Even the rules themselves are starting to become a country’s competitive strength.

With Musk + Altman + Jensen on the same stage, the meeting in September should be worth watching.
Tonight’s NVDA earnings report could directly determine how the next phase of AI trading unfolds. The market currently expects NVIDIA’s Q2 fiscal revenue to be around $92 billion, with next-quarter guidance possibly coming in near $104 billion. But this time, what the market is looking at isn’t just whether it will “beat or not beat.” What really matters is: Rubin ramp-up pace, AI data center demand, gross margin, and whether AI CapEx can continue to sustain high growth. Unfortunately, today’s macro environment also isn’t exactly easy. U.S. July PCE came in at 3.7% year-over-year, higher than the market’s original expectation of 3.6%; core PCE remains at 3.3%. After the data was released, expectations for a September rate hike warmed up again. So tonight, it’s really two forces going head-to-head: AI Earnings vs Higher-for-longer Rates If NVDA again delivers strong results + strong guidance, the beneficiaries likely won’t be limited to NVDA. I’ll be watching together: AMD / AVGO / MRVL — AI Compute MU / SNDK / WDC / STX — Memory & Storage COHR / LITE / AAOI / CIEN — Optical / AI Infrastructure Especially since just the other day, storage and optical communications both went through a round of broad pullbacks. If tonight NVDA’s commentary on Rubin, HBM, and data center demand is strong enough, these AI hardware names that were hit could see a wave of recovery. But on the flip side, you also have to be careful: The market’s expectations for NVDA are already very high. Even if the earnings are great, that doesn’t necessarily mean the stock will rise. If it’s just in line with expectations, or even if it’s “beating by not enough,” then you could actually get: Good earnings, bad stock reaction. So tonight, I won’t be watching only NVDA. More importantly, after the earnings come out, I want to see whether the entire AI hardware sector moves together. If NVDA is strong, memory is strong, and optical also repairs, then that would look more like the AI trade is back. If NVDA itself can’t hold up, then the selloff in valuation from the past few days may not be over yet. Tonight, I’m watching whether Jensen can pull the entire AI hardware sector back up. $NVDA {future}(NVDAUSDT) $SNDK {future}(SNDKUSDT) $MU {future}(MUUSDT)
Tonight’s NVDA earnings report could directly determine how the next phase of AI trading unfolds.

The market currently expects NVIDIA’s Q2 fiscal revenue to be around $92 billion, with next-quarter guidance possibly coming in near $104 billion.

But this time, what the market is looking at isn’t just whether it will “beat or not beat.”

What really matters is:

Rubin ramp-up pace, AI data center demand, gross margin, and whether AI CapEx can continue to sustain high growth.

Unfortunately, today’s macro environment also isn’t exactly easy.

U.S. July PCE came in at 3.7% year-over-year, higher than the market’s original expectation of 3.6%; core PCE remains at 3.3%. After the data was released, expectations for a September rate hike warmed up again.

So tonight, it’s really two forces going head-to-head:

AI Earnings
vs
Higher-for-longer Rates

If NVDA again delivers strong results + strong guidance, the beneficiaries likely won’t be limited to NVDA.

I’ll be watching together:

AMD / AVGO / MRVL — AI Compute
MU / SNDK / WDC / STX — Memory & Storage
COHR / LITE / AAOI / CIEN — Optical / AI Infrastructure

Especially since just the other day, storage and optical communications both went through a round of broad pullbacks.

If tonight NVDA’s commentary on Rubin, HBM, and data center demand is strong enough, these AI hardware names that were hit could see a wave of recovery.

But on the flip side, you also have to be careful:

The market’s expectations for NVDA are already very high.

Even if the earnings are great, that doesn’t necessarily mean the stock will rise.

If it’s just in line with expectations, or even if it’s “beating by not enough,” then you could actually get:

Good earnings, bad stock reaction.

So tonight, I won’t be watching only NVDA.

More importantly, after the earnings come out, I want to see whether the entire AI hardware sector moves together.

If NVDA is strong, memory is strong, and optical also repairs, then that would look more like the AI trade is back.

If NVDA itself can’t hold up, then the selloff in valuation from the past few days may not be over yet.

Tonight, I’m watching whether Jensen can pull the entire AI hardware sector back up. $NVDA
$SNDK
$MU
·
--
Bearish
BTC surged 23% over the week, posting its biggest weekly gain in over 3 years. Has the bull market really returned? I don’t think we can jump to conclusions that quickly. This rebound has indeed been strong, and there are also some macro catalysts behind it. The market has restarted discussions about U.S. debt, long-term Treasury buybacks, dollar depreciation, and the logic of alternative assets—so BTC has once again gained attention. At the same time, this rally has also included a very clear short squeeze: shorts were rapidly squeezed, further amplifying price elasticity. The issue is that after BTC broke above $80K, it didn’t truly hold its ground. After pushing higher, it quickly slipped back into a period of range-bound trading. So what I’m focused on now isn’t “how much BTC rose this week,” but: Whether this up move can actually flush out short positions and turn into sustained, real buying demand. If $80K can hold and retake the level, that would be a strong signal. But since it hasn’t been able to stay above it, I’d instead first watch whether the market retests the area around $70K. For me, $70K is the next key level. 🔸 Hold $70K: This would indicate that after this big jump, there’s still room for the market to digest positions, rebuild structure, and then continue to watch whether it can again challenge $80K. 🔸 Break below $70K: Then be careful. That would suggest this rebound may just be a strong relief bounce within a larger-scale downturn, and further lows may follow. In addition, the narrative of “BTC = digital gold” still hasn’t been fully validated by the market. Gold has continued to perform relatively strongly this year. Even though BTC has experienced this rapid rebound, its overall performance still differs. In the past, when genuine risk-off sentiment showed up, BTC hasn’t always moved in sync with gold. So my current view is still: Volatility is back, sentiment is back—but the true bull-market structure still needs further proof. The short side has already been pushed out for the first time Next, we’ll see whether $70K can hold during this round of pressure testing. Hold it, and keep watching for structure to repair. Break it, and guard against even lower lows. $BTC {future}(BTCUSDT)
BTC surged 23% over the week, posting its biggest weekly gain in over 3 years. Has the bull market really returned? I don’t think we can jump to conclusions that quickly.

This rebound has indeed been strong, and there are also some macro catalysts behind it. The market has restarted discussions about U.S. debt, long-term Treasury buybacks, dollar depreciation, and the logic of alternative assets—so BTC has once again gained attention. At the same time, this rally has also included a very clear short squeeze: shorts were rapidly squeezed, further amplifying price elasticity.

The issue is that after BTC broke above $80K, it didn’t truly hold its ground. After pushing higher, it quickly slipped back into a period of range-bound trading.

So what I’m focused on now isn’t “how much BTC rose this week,” but:

Whether this up move can actually flush out short positions and turn into sustained, real buying demand.

If $80K can hold and retake the level, that would be a strong signal. But since it hasn’t been able to stay above it, I’d instead first watch whether the market retests the area around $70K.

For me, $70K is the next key level.

🔸 Hold $70K: This would indicate that after this big jump, there’s still room for the market to digest positions, rebuild structure, and then continue to watch whether it can again challenge $80K.

🔸 Break below $70K: Then be careful. That would suggest this rebound may just be a strong relief bounce within a larger-scale downturn, and further lows may follow.

In addition, the narrative of “BTC = digital gold” still hasn’t been fully validated by the market. Gold has continued to perform relatively strongly this year. Even though BTC has experienced this rapid rebound, its overall performance still differs. In the past, when genuine risk-off sentiment showed up, BTC hasn’t always moved in sync with gold.

So my current view is still:

Volatility is back, sentiment is back—but the true bull-market structure still needs further proof.

The short side has already been pushed out for the first time
Next, we’ll see whether $70K can hold during this round of pressure testing.

Hold it, and keep watching for structure to repair.
Break it, and guard against even lower lows.
$BTC
Article
《I Just Learned How to Mine, and TapeOut Is Already Building On-Chain AI》From PoD, $BEM, component device warehouses to BNN—it's like I'm starting to understand what TapeOut is really trying to do. A few days ago, I was still researching: What exactly is NAND? Then I learned to connect the electronic LEGO pieces one by one. Later on, PoD went live. I started buying NAND, funding runs, and studying how to build my own first on-chain mining machine. After all that, I finally prepared to enter the beginner village. And then—turning my head around— TapeOut is already getting to work on this: BNN, on-chain AI inference, component device warehouses. My first reaction was really this: No, I'm just starting to dig. The beginner village hasn't even left yet, and the data episode is already out?

《I Just Learned How to Mine, and TapeOut Is Already Building On-Chain AI》

From PoD, $BEM, component device warehouses to BNN—it's like I'm starting to understand what TapeOut is really trying to do.
A few days ago, I was still researching:
What exactly is NAND?
Then I learned to connect the electronic LEGO pieces one by one.
Later on, PoD went live.
I started buying NAND, funding runs, and studying how to build my own first on-chain mining machine.
After all that, I finally prepared to enter the beginner village.
And then—turning my head around—
TapeOut is already getting to work on this:
BNN, on-chain AI inference, component device warehouses.
My first reaction was really this:
No, I'm just starting to dig. The beginner village hasn't even left yet, and the data episode is already out?
Article
AI Is Moving On-chain. TapeOut Is Building the Brain on BSCFrom NAND gates and Proof of Design to Binary Neural Networks, TapeOut is turning BNB Smart Chain into a playground for verifiable computation — and perhaps a new kind of on-chain AI. Everyone is building AI agents. They have wallets. They trade. They post. They launch tokens. Some even talk to other agents. But almost all of them still have the same little secret: the “brain” is somewhere else. The agent might interact with a blockchain, but most of the actual AI computation still happens on a private server or external infrastructure. The blockchain sees the result. It does not necessarily see how the result was produced. TapeOut is experimenting with something much stranger: What if part of the brain itself could live on-chain? Not ChatGPT. Not a billion-parameter model. Something smaller, simpler and much more suitable for deterministic computation: a Binary Neural Network — BNN. And it is being explored on BNB Smart Chain. That caught my attention. Because while everyone is trying to give AI a wallet, TapeOut seems interested in giving the blockchain something closer to a verifiable brain. From BSC the trading chain… to BSC the computation playground? BSC has traditionally been associated with a very different side of Crypto. Trading. DeFi. Meme Coins. Stablecoins. Retail users. Fast-moving on-chain markets. But technically, the network itself has been changing quite aggressively. BNB Chain says BSC can now reach deterministic finality in around 0.65 seconds under normal conditions, following several years of consensus improvements. Its H2 2026 roadmap also describes 450ms block intervals and continued work towards much higher throughput. That does not mean somebody is about to run GPT-6 inside a BSC smart contract. Please don't do that. But faster settlement, cheaper execution and an EVM environment do make another question increasingly interesting: What kinds of smaller, deterministic and verifiable computation can realistically live on-chain? This is where TapeOut gets weird. TapeOut started with NAND, not AI TapeOut did not begin by writing “AI” everywhere and then trying to work backwards towards a product. Its starting point was far more primitive: NAND. A NAND gate takes two binary inputs and produces one binary output. It sounds almost comically basic. But NAND is functionally complete: combine enough NAND gates and you can construct other logic functions and increasingly complex digital circuits. TapeOut adds another primitive: LATCH. If NAND gives you logic, LATCH gives you state. Now you have something that can calculate and remember. TapeOut's own description is essentially an on-chain hardware construction system: users acquire these primitive components, connect them visually on a Canvas, simulate the design and eventually Tape Out the finished circuit. Its current BNB Chain marketplace describes NAND and LATCH as production materials used to create on-chain circuit assets. The easiest explanation is still my favourite: Electronic LEGO on-chain. You have bricks. You wire them together. You build something. And when you are satisfied with the design, you manufacture it on-chain. Simple enough. Until the LEGO starts mining. Then came Proof of Design TapeOut's current BNB Chain experiment introduced Proof of Design — PoD and $BEM mining. Its public PoD interface explicitly identifies the system as operating on BNB Chain. But the interesting part of PoD is not simply: buy more components → mine more tokens. Design matters. A circuit has a construction cost. It has a combinational depth. It can solve a task. And there can be a current best design for that task. Someone else can then come along and beat it. That turns the game into something closer to: Build → Simulate → Tape Out → Optimise → Compete Instead of only competing with capital, people begin competing with design. That is the point where TapeOut started making much more sense to me. PoD creates an immediate reason to build circuits. But PoD does not have to be the final reason those circuits exist. It can simply be the first game. And then someone added a neural network. Wait… you can build AI out of this? This is where things went from interesting to slightly absurd. I was still looking at NAND and LATCH. Meanwhile, Blonskr was already testing a Binary Neural Network component. A BNN is not an LLM. Instead of relying on high-precision weights like conventional neural networks, a Binary Neural Network compresses much of the model into binary values. That dramatically changes the type of computation required. Rather than thinking about enormous GPU workloads, you start seeing operations that map much more naturally to digital logic: bits, comparisons, XNOR-style operations, counting and thresholds. Suddenly this path: NAND → Circuit → BNN does not look quite as crazy as it first sounds. TapeOut's BNN experiment In the test shared by Blonskr, the experimental model used: 34,048 binary weights. It accepted a 256-bit input, passed it through 128 neurons, produced 10 class scores, and selected the final result through an argmax operation. The dataset contained 5,620 handwritten images, divided into 4,496 training samples and 1,124 test samples. The reported test inference accuracy was 93.15%. Again: This is not an attempt to beat OpenAI, Anthropic or Google. Comparing it with modern LLMs would miss the entire point. The interesting question is: Can the inference be made transparent, deterministic and independently verifiable on-chain? That is a completely different objective. AI has a trust problem Imagine I operate an AI service. You send me some data. My server replies: Prediction: 7 How do you know what actually happened? You trust that I used the model I claimed to use. You trust that I used the published weights. You trust that the weights were not quietly modified. You trust that the output was not changed before being returned. For most applications, that is perfectly acceptable. But Crypto was basically invented by people who looked at the phrase “just trust the server” and developed an allergic reaction. So what if the model is deliberately small enough that its inference logic can become part of the blockchain execution environment? Then the relationship changes. Instead of: Trust me. The AI produced this result. you start moving towards: Here is the model. Here are the rules. Here is the computation. Verify it. That is where I think the phrase verifiable AI becomes much more interesting than simply saying “AI on-chain”. AI Agents vs Verifiable AI This difference is worth separating. An AI Agent on-chain might: have a wallet, sign transactions, trade tokens, interact with contracts. But its intelligence can still live almost entirely off-chain. The blockchain is effectively the agent's financial system. TapeOut's BNN experiment asks something different: Can blockchain become part of the AI's computation and verification layer? That does not necessarily make the AI smarter. In fact, the models will probably be dramatically smaller. But that is not the competition. The advantage would be something else: predictability. transparency. immutability. verifiability. Different problem. Different design space. And BSC is an interesting place to try it There is also something culturally appropriate about doing this on BSC. BSC already has one of Crypto's most active retail environments. It understands speculation. It understands Meme culture. It understands high-frequency user interaction. And the underlying network is simultaneously becoming faster: BNB Chain currently reports roughly 0.65-second deterministic finality under normal conditions, while continuing to target further throughput improvements. So perhaps the interesting future for BSC is not simply: more tokens moving faster. Maybe some of those transactions eventually represent: circuits being manufactured, designs competing, AI models executing, and communities building strange computational objects together. That is a very different BSC story. BNN may not even be the real product This is probably the biggest thing I took away from TapeOut's recent direction. BNN does not necessarily have to be a product. It can be a component. That sounds like a small distinction. It is not. Imagine TapeOut eventually having many higher-level components: BNN. Memory blocks. Multiplexers. Cryptographic modules. Arithmetic components. Different AI primitives. And whatever else builders come up with. Then you stop asking: “What can this BNN do?” You begin asking: “What happens when I combine BNN + memory + logic + another person's circuit?” That is where composition starts. And composition is usually when Crypto gets interesting. From Processor to on-chain factory This also explains TapeOut's proposed component-equipment direction. Think of a TapeOut Processor as a factory. Originally, factories manufacture basic building materials such as NAND and LATCH. But imagine a factory creator being able to acquire new manufacturing equipment. One factory buys BNN capability. Another specialises in memory. Another focuses on extremely cheap basic logic. Another becomes a cryptographic-component factory. Now processors begin developing different identities. And the ecosystem starts looking like: PoD ↓ $BEM ↓ new manufacturing equipment ↓ new components ↓ new circuits ↓ new applications This is why I increasingly hesitate to call TapeOut simply a mining project. Mining might be the first economic loop. The bigger experiment is potentially: an on-chain market for computational design and manufacturing. Now add Crypto culture to it And this is the part I think could become particularly fun on BSC. Because technology alone does not create a Crypto ecosystem. Communities do. BSC already has an enormous Meme culture. Most Meme communities are excellent at three things: attention, identity and coordination. But once the token exists, the next question is usually painful: “So… what do we actually do now?” Normally somebody invents another staking programme. Please, no. TapeOut potentially gives communities another answer: Build something together. What happens when Meme communities start building? Imagine two Meme communities deciding to compete. Not over which token pumps harder. Instead: Who can build the smallest working circuit? Or: Who can dethrone the current best PoD design? Or: Who can build the weirdest functioning BNN? One community could create a themed Processor factory. Another could sponsor an open circuit-design challenge. Artists could create the visual culture. Circuit designers build the logic. AI builders optimise the BNN. Meme accounts spread the competition. And the finished Circuit becomes part technical artefact, part collectible and part community history. Now a Meme community has something unusual: shared culture + shared construction. The idea I find interesting is not: “How do we give this Meme Coin utility?” It is: “What if a Meme community could build something together instead of simply holding something together?” That feels much more native to what TapeOut is building. Imagine a ridiculous BSC AI tournament Push the idea one step further. A community launches a challenge: Build the smallest on-chain AI that can recognise its Meme. Different teams receive the same task. One uses more BNN capacity but less logic. Another optimises the circuit aggressively. Someone discovers a completely different architecture. People submit their designs. The results are verifiable. A leaderboard emerges. Another community challenges them. Suddenly you have something sitting somewhere between: AI hackathon × Meme war × on-chain game × hardware design competition That sounds completely ridiculous. Which, historically, has not been a particularly strong reason to bet against Crypto. This is the opportunity — and also the trap There is an important distinction here. TapeOut should not become: Meme + mining + yield + AI + another token. That is exactly how you turn an interesting primitive into something that looks like a 2021 PowerPoint deck. The Meme layer should be culture and participation, not an excuse to manufacture another financial promise. Let communities compete. Let them design. Let them remix. Let them create factories. Let them make stupid things. Let the best stupid thing unexpectedly become useful. That is much healthier than beginning with: “What APY does the AI Meme factory pay?” Why I think this matters for BSC For years, blockchains have mostly tokenised things. Money. Art. Positions. Real-world assets. Attention. TapeOut asks whether another object can become native to the chain: design. And BNN expands the question again: What if some forms of intelligence become design objects too? Not intelligence in the AGI sense. Small, deterministic computational models. Models that can potentially be: built, inspected, combined, executed, and verified. If that works, BSC gets a new category of experiment beyond trading: programmable, verifiable computational objects. That is the story I find much more interesting than simply: “BNB Chain has another AI project.” The limitations matter There is plenty we still do not know. On-chain computation remains constrained. BNNs trade precision for efficiency. Model complexity matters. Storage matters. Gas matters. Training and inference are very different problems. And just because something can be moved on-chain does not mean that it should be. TapeOut is also extremely early. BNB Chain's improving performance does not magically eliminate these constraints. So I would not say: TapeOut has solved on-chain AI. It hasn't. A much fairer description would be: TapeOut has produced an interesting primitive for experimenting with verifiable AI on BSC. Now the important part begins: seeing what people actually build. Final Thoughts The more I watch TapeOut, the more its evolution makes sense: NAND → LATCH → Circuit → PoD → $BEM → Factory → BNN → ? The question mark is the interesting part. Perhaps BNN remains an experimental component. Perhaps verifiable inference finds very specific applications. Perhaps communities turn it into games. Perhaps Meme communities start competing with circuits instead of only charts. Perhaps somebody combines components in a way nobody building TapeOut currently expects. That is what construction primitives do. They create possibilities their creators cannot fully predict. And that might be TapeOut's most interesting characteristic. Most of Crypto AI currently asks: How do we put an AI Agent on-chain? TapeOut is asking something slightly crazier: How much of the brain can we make verifiable on-chain? And it is attempting that experiment on a chain already known for moving quickly, trading aggressively and producing some of Crypto's strangest communities. BSC might be the perfect laboratory. Everyone else is busy giving AI agents wallets. TapeOut decided to start building the brain. And apparently I'm still trying to buy enough NAND and LATCH to play with it. Holders, please release some supply. This article reflects my own interpretation of TapeOut's current experiments and publicly shared direction. BNN, component equipment and related ecosystem mechanics are still early and may evolve substantially. This is an exploration of technology and product design, not investment advice. #BSC

AI Is Moving On-chain. TapeOut Is Building the Brain on BSC

From NAND gates and Proof of Design to Binary Neural Networks, TapeOut is turning BNB Smart Chain into a playground for verifiable computation — and perhaps a new kind of on-chain AI.
Everyone is building AI agents.
They have wallets.
They trade.
They post.
They launch tokens.
Some even talk to other agents.
But almost all of them still have the same little secret:
the “brain” is somewhere else.
The agent might interact with a blockchain, but most of the actual AI computation still happens on a private server or external infrastructure.
The blockchain sees the result.
It does not necessarily see how the result was produced.
TapeOut is experimenting with something much stranger:
What if part of the brain itself could live on-chain?
Not ChatGPT.
Not a billion-parameter model.
Something smaller, simpler and much more suitable for deterministic computation:
a Binary Neural Network — BNN.
And it is being explored on BNB Smart Chain.
That caught my attention.
Because while everyone is trying to give AI a wallet, TapeOut seems interested in giving the blockchain something closer to a verifiable brain.
From BSC the trading chain… to BSC the computation playground?
BSC has traditionally been associated with a very different side of Crypto.
Trading.
DeFi.
Meme Coins.
Stablecoins.
Retail users.
Fast-moving on-chain markets.
But technically, the network itself has been changing quite aggressively.
BNB Chain says BSC can now reach deterministic finality in around 0.65 seconds under normal conditions, following several years of consensus improvements. Its H2 2026 roadmap also describes 450ms block intervals and continued work towards much higher throughput.
That does not mean somebody is about to run GPT-6 inside a BSC smart contract.
Please don't do that.
But faster settlement, cheaper execution and an EVM environment do make another question increasingly interesting:
What kinds of smaller, deterministic and verifiable computation can realistically live on-chain?
This is where TapeOut gets weird.
TapeOut started with NAND, not AI
TapeOut did not begin by writing “AI” everywhere and then trying to work backwards towards a product.
Its starting point was far more primitive:
NAND.
A NAND gate takes two binary inputs and produces one binary output.
It sounds almost comically basic.
But NAND is functionally complete: combine enough NAND gates and you can construct other logic functions and increasingly complex digital circuits.
TapeOut adds another primitive:
LATCH.
If NAND gives you logic, LATCH gives you state.
Now you have something that can calculate and remember.
TapeOut's own description is essentially an on-chain hardware construction system: users acquire these primitive components, connect them visually on a Canvas, simulate the design and eventually Tape Out the finished circuit. Its current BNB Chain marketplace describes NAND and LATCH as production materials used to create on-chain circuit assets.
The easiest explanation is still my favourite:
Electronic LEGO on-chain.
You have bricks.
You wire them together.
You build something.
And when you are satisfied with the design, you manufacture it on-chain.
Simple enough.
Until the LEGO starts mining.
Then came Proof of Design
TapeOut's current BNB Chain experiment introduced Proof of Design — PoD and
$BEM
mining. Its public PoD interface explicitly identifies the system as operating on BNB Chain.
But the interesting part of PoD is not simply:
buy more components → mine more tokens.
Design matters.
A circuit has a construction cost.
It has a combinational depth.
It can solve a task.
And there can be a current best design for that task.
Someone else can then come along and beat it.
That turns the game into something closer to:
Build → Simulate → Tape Out → Optimise → Compete
Instead of only competing with capital, people begin competing with design.
That is the point where TapeOut started making much more sense to me.
PoD creates an immediate reason to build circuits.
But PoD does not have to be the final reason those circuits exist.
It can simply be the first game.
And then someone added a neural network.
Wait… you can build AI out of this?
This is where things went from interesting to slightly absurd.
I was still looking at NAND and LATCH.
Meanwhile, Blonskr was already testing a Binary Neural Network component.
A BNN is not an LLM.
Instead of relying on high-precision weights like conventional neural networks, a Binary Neural Network compresses much of the model into binary values.
That dramatically changes the type of computation required.
Rather than thinking about enormous GPU workloads, you start seeing operations that map much more naturally to digital logic:
bits, comparisons, XNOR-style operations, counting and thresholds.
Suddenly this path:
NAND → Circuit → BNN
does not look quite as crazy as it first sounds.
TapeOut's BNN experiment
In the test shared by Blonskr, the experimental model used:
34,048 binary weights.
It accepted a 256-bit input, passed it through 128 neurons, produced 10 class scores, and selected the final result through an argmax operation.
The dataset contained 5,620 handwritten images, divided into 4,496 training samples and 1,124 test samples.
The reported test inference accuracy was 93.15%.
Again:
This is not an attempt to beat OpenAI, Anthropic or Google.
Comparing it with modern LLMs would miss the entire point.
The interesting question is:
Can the inference be made transparent, deterministic and independently verifiable on-chain?
That is a completely different objective.
AI has a trust problem
Imagine I operate an AI service.
You send me some data.
My server replies:
Prediction: 7
How do you know what actually happened?
You trust that I used the model I claimed to use.
You trust that I used the published weights.
You trust that the weights were not quietly modified.
You trust that the output was not changed before being returned.
For most applications, that is perfectly acceptable.
But Crypto was basically invented by people who looked at the phrase “just trust the server” and developed an allergic reaction.
So what if the model is deliberately small enough that its inference logic can become part of the blockchain execution environment?
Then the relationship changes.
Instead of:
Trust me. The AI produced this result.
you start moving towards:
Here is the model. Here are the rules. Here is the computation. Verify it.
That is where I think the phrase verifiable AI becomes much more interesting than simply saying “AI on-chain”.
AI Agents vs Verifiable AI
This difference is worth separating.
An AI Agent on-chain might:
have a wallet,
sign transactions,
trade tokens,
interact with contracts.
But its intelligence can still live almost entirely off-chain.
The blockchain is effectively the agent's financial system.
TapeOut's BNN experiment asks something different:
Can blockchain become part of the AI's computation and verification layer?
That does not necessarily make the AI smarter.
In fact, the models will probably be dramatically smaller.
But that is not the competition.
The advantage would be something else:
predictability.
transparency.
immutability.
verifiability.
Different problem.
Different design space.
And BSC is an interesting place to try it
There is also something culturally appropriate about doing this on BSC.
BSC already has one of Crypto's most active retail environments.
It understands speculation.
It understands Meme culture.
It understands high-frequency user interaction.
And the underlying network is simultaneously becoming faster: BNB Chain currently reports roughly 0.65-second deterministic finality under normal conditions, while continuing to target further throughput improvements.
So perhaps the interesting future for BSC is not simply:
more tokens moving faster.
Maybe some of those transactions eventually represent:
circuits being manufactured,
designs competing,
AI models executing,
and
communities building strange computational objects together.
That is a very different BSC story.
BNN may not even be the real product
This is probably the biggest thing I took away from TapeOut's recent direction.
BNN does not necessarily have to be a product.
It can be a component.
That sounds like a small distinction.
It is not.
Imagine TapeOut eventually having many higher-level components:
BNN.
Memory blocks.
Multiplexers.
Cryptographic modules.
Arithmetic components.
Different AI primitives.
And whatever else builders come up with.
Then you stop asking:
“What can this BNN do?”
You begin asking:
“What happens when I combine BNN + memory + logic + another person's circuit?”
That is where composition starts.
And composition is usually when Crypto gets interesting.
From Processor to on-chain factory
This also explains TapeOut's proposed component-equipment direction.
Think of a TapeOut Processor as a factory.
Originally, factories manufacture basic building materials such as NAND and LATCH.
But imagine a factory creator being able to acquire new manufacturing equipment.
One factory buys BNN capability.
Another specialises in memory.
Another focuses on extremely cheap basic logic.
Another becomes a cryptographic-component factory.
Now processors begin developing different identities.
And the ecosystem starts looking like:
PoD
↓
$BEM
↓
new manufacturing equipment
↓
new components
↓
new circuits
↓
new applications
This is why I increasingly hesitate to call TapeOut simply a mining project.
Mining might be the first economic loop.
The bigger experiment is potentially:
an on-chain market for computational design and manufacturing.
Now add Crypto culture to it
And this is the part I think could become particularly fun on BSC.
Because technology alone does not create a Crypto ecosystem.
Communities do.
BSC already has an enormous Meme culture.
Most Meme communities are excellent at three things:
attention, identity and coordination.
But once the token exists, the next question is usually painful:
“So… what do we actually do now?”
Normally somebody invents another staking programme.
Please, no.
TapeOut potentially gives communities another answer:
Build something together.
What happens when Meme communities start building?
Imagine two Meme communities deciding to compete.
Not over which token pumps harder.
Instead:
Who can build the smallest working circuit?
Or:
Who can dethrone the current best PoD design?
Or:
Who can build the weirdest functioning BNN?
One community could create a themed Processor factory.
Another could sponsor an open circuit-design challenge.
Artists could create the visual culture.
Circuit designers build the logic.
AI builders optimise the BNN.
Meme accounts spread the competition.
And the finished Circuit becomes part technical artefact, part collectible and part community history.
Now a Meme community has something unusual:
shared culture + shared construction.
The idea I find interesting is not:
“How do we give this Meme Coin utility?”
It is:
“What if a Meme community could build something together instead of simply holding something together?”
That feels much more native to what TapeOut is building.
Imagine a ridiculous BSC AI tournament
Push the idea one step further.
A community launches a challenge:
Build the smallest on-chain AI that can recognise its Meme.
Different teams receive the same task.
One uses more BNN capacity but less logic.
Another optimises the circuit aggressively.
Someone discovers a completely different architecture.
People submit their designs.
The results are verifiable.
A leaderboard emerges.
Another community challenges them.
Suddenly you have something sitting somewhere between:
AI hackathon
× Meme war
× on-chain game
× hardware design competition
That sounds completely ridiculous.
Which, historically, has not been a particularly strong reason to bet against Crypto.
This is the opportunity — and also the trap
There is an important distinction here.
TapeOut should not become:
Meme + mining + yield + AI + another token.
That is exactly how you turn an interesting primitive into something that looks like a 2021 PowerPoint deck.
The Meme layer should be culture and participation, not an excuse to manufacture another financial promise.
Let communities compete.
Let them design.
Let them remix.
Let them create factories.
Let them make stupid things.
Let the best stupid thing unexpectedly become useful.
That is much healthier than beginning with:
“What APY does the AI Meme factory pay?”
Why I think this matters for BSC
For years, blockchains have mostly tokenised things.
Money.
Art.
Positions.
Real-world assets.
Attention.
TapeOut asks whether another object can become native to the chain:
design.
And BNN expands the question again:
What if some forms of intelligence become design objects too?
Not intelligence in the AGI sense.
Small, deterministic computational models.
Models that can potentially be:
built,
inspected,
combined,
executed,
and verified.
If that works, BSC gets a new category of experiment beyond trading:
programmable, verifiable computational objects.
That is the story I find much more interesting than simply:
“BNB Chain has another AI project.”
The limitations matter
There is plenty we still do not know.
On-chain computation remains constrained.
BNNs trade precision for efficiency.
Model complexity matters.
Storage matters.
Gas matters.
Training and inference are very different problems.
And just because something can be moved on-chain does not mean that it should be.
TapeOut is also extremely early.
BNB Chain's improving performance does not magically eliminate these constraints.
So I would not say:
TapeOut has solved on-chain AI.
It hasn't.
A much fairer description would be:
TapeOut has produced an interesting primitive for experimenting with verifiable AI on BSC.
Now the important part begins:
seeing what people actually build.
Final Thoughts
The more I watch TapeOut, the more its evolution makes sense:
NAND → LATCH → Circuit → PoD →
$BEM
→ Factory → BNN → ?
The question mark is the interesting part.
Perhaps BNN remains an experimental component.
Perhaps verifiable inference finds very specific applications.
Perhaps communities turn it into games.
Perhaps Meme communities start competing with circuits instead of only charts.
Perhaps somebody combines components in a way nobody building TapeOut currently expects.
That is what construction primitives do.
They create possibilities their creators cannot fully predict.
And that might be TapeOut's most interesting characteristic.
Most of Crypto AI currently asks:
How do we put an AI Agent on-chain?
TapeOut is asking something slightly crazier:
How much of the brain can we make verifiable on-chain?
And it is attempting that experiment on a chain already known for moving quickly, trading aggressively and producing some of Crypto's strangest communities.
BSC might be the perfect laboratory.
Everyone else is busy giving AI agents wallets.
TapeOut decided to start building the brain.
And apparently I'm still trying to buy enough NAND and LATCH to play with it.
Holders, please release some supply.
This article reflects my own interpretation of TapeOut's current experiments and publicly shared direction. BNN, component equipment and related ecosystem mechanics are still early and may evolve substantially. This is an exploration of technology and product design, not investment advice.
#BSC
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