About the AI public chain tau.net (token name AGRS)
Tau Tau is a universe built from your ideas, suggestions and knowledge. It is the first-ever decentralized blockchain social network capable of gaining consensus from its users and updating its own software in real time, allowing all users to control what the software does for them.
All in all, Tau can aggregate the ideas, suggestions and knowledge of various users, and upgrade its own code in real time, using logical artificial intelligence to bridge the gap between humans and machines.
Notice the difference? If you have recently learned about artificial intelligence and used ChatGPT, you will know that most AI uses machine learning, which relies on huge Internet data sets and makes it difficult to grasp the correct meaning and knowledge of interpersonal communication.
What about logic-based Al? It is more effective than machine learning in:
1. Explainability: Logic-based AI provides clear and transparent explanations of how decisions are made, which can be useful in certain applications, such as legal or medical diagnostics. In these application scenarios, accountability and explainability are important.
2. Predictability: Logic-based systems are deterministic, meaning that given the same input, they always produce the same output.
3. Efficiency: For simple tasks, logic-based AI can be faster than machine learning algorithms because they require no training to make decisions based on a small number of well-defined rules.
4. Adaptability: Logic-based AI can be easily modified and updated to adapt to new knowledge or environmental changes.
These advantages form Tau's moat. Artificial intelligence using logic has uniquely created a model of communication between people with machines as the mediator.
A team of PhDs and professors with expertise in artificial intelligence, logic and mathematics has been working on Tau since 2015. Founder and CEO Ohad Asor is a software developer and machine learning expert with a background in mathematics and experience at GE Healthcare.
$MU A memo to the market: The market and ignorance are once again working hand in hand. I just listened to Micron's (MU) earnings call, and a large part of the market still underestimates how persistently Micron, SK hynix, and Samsung’s earnings potential may hold up. We’ve seen adjusted gross margins of 80% and 87%; next quarter will be 86.25%. This is where the focus will be. I’m going to pull you away from the numbers, because the story behind them matters far more than the numbers themselves. There are bandwidth issues, and also supply issues. Then there’s demand—driven by data center buildouts and server-class memory components, demand has been growing explosively for the past year and a half.
The US starts directly extracting money from residents—dollar liquidity tides flow from institutional desks, all the way down to ordinary people around the world.
🔹 This year, in July the DTCC runs tokenized securities; in October the Tokenization Service goes live; and on December 6 Nasdaq extends trading to 5 days a week, nearly 23 hours.
🔹 Stablecoins solve the money, 23-hour trading solves the time, and asset tokenization solves what to buy. With these three pieces in place, America’s next round of “pulling in” won’t be just money from central banks and banks, but also global residents’ savings.
🔹 Japan “sucks up,” China doesn’t provide a backstop, and the US holds first. Once the gates open on January 18, the dollar system will plunge straight from B2B to B2C.
🔹 The shifting period will be volatile—maybe even violently so. Where the money comes from, and where it goes, is where the next highly certain opportunities lie. What do you think?
Next year, capital expenditures for the super-large cloud service providers are expected to be between $1.1 trillion and $1.2 trillion, and storage alone could account for 50% to 60% of that—roughly $500 billion to $700 billion. UBS even estimates that spending on storage alone next year will reach $900 billion.
260918 U.S. stock market closes; memory stocks plunge sharply. It is said to be caused by a report about China’s ChangXin increasing memory production.
Nomura Securities SK hynix currently holds about 25% of global memory revenue…… If these Nomura estimates are correct, and SK hynix maintains its current market share…… then this would mean that SK hynix’s revenue in 2030 will be about $918 billion (US dollars). From 2026 to 2030…… SK hynix will generate $1.8 trillion in net profit, which is 80% more than its current market value.
Nomura has set an undeniable number for the memory market.
It expects the entire market to be about $1 trillion in 2026. Then it will reach $3.7 trillion by 2030. That means growth of more than 3.5 times in four years.
Data centers will account for 83% of the total by 2030. AI data centers will become the largest single share.
Growth is not smooth. In 2024 it is about $185 billion. In 2025 $270 billion. Then in 2026 it jumps to $1 trillion, after which it keeps rising.
Nomura released its view on the global memory market and stated the things we all already know
Here are the key points from Nomura’s view on the global memory market
Global memory: - Manufacturers claim that severe supply shortages will continue - LTAs will restructure their businesses to make them visible and stable - Customers are willing to accept unattractive terms to secure supply - Memory spec degradation is inevitable due to supply shortages - By 2027, data center demand is expected to be met only 70%, and non-data center demand about 50% - Nomura believes that, due to shortages, $NVDA cannot broadly adopt high-stack HBM - Challenges from Chinese players are unlikely to pose a significant threat - Interest rates and foreign exchange are threats - The capex train is expected to keep rolling
LTAs: - There is significant uncertainty because negotiations are still ongoing, forcing institutions to make some assumptions - LTAs will account for about 50-70% of total $DRAM NAND and SSD sales. Mainly targeted at CSPs (10-20 customers) - The remaining 30-50% will be sold directly to the market at spot prices - LTAs mainly run for 5 years, with strong agreements for the first 3 years and flexibility for the next 2 years - Prepayments account for about 20-30% of revenue. The penalty for customers breaking commitments is equivalent to about 1 year of purchasing value - In short, LTAs provide tremendous visibility, pricing power, and cash flow for the business
Investment perspective - Nomura believes memory stocks can maintain strong growth - It believes a rebound and growth are only a matter of time - Total DRAM - $DRAM wafer capacity utilization is about 100% - The share of data centers in memory revenue is expected to rise from 40% in 2025 to 83% in 2030 - Memory revenue is expected to reach $3 trillion by 2029 - Samsung Electronics at 5.2x FY26E P/E and 2.2x P/B. At 2.9x FY27E P/E and 1.4x P/B - $SKHY at 4.8x FY26E P/E and 2.8x P/B. At 3.1x FY27E P/E and 1.7x P/B - Both companies are rated "Buy" based on improving margins, free cash flow, and the likelihood of higher shareholder returns
Samsung’s target price is set at 670K (167.5% upside), and SK Hynix’s target price is set at 4.7M (191.4% upside)
Micron’s own HBM architect, on site at the Hot Chips conference:
“Computing power grows by about 3x every two years. Although HBM has solved many bandwidth issues and improved bandwidth, it still lags behind demand, growing only about 2x every two years. Therefore, the memory wall problem still exists, and in fact, it may be getting worse.”
To put it simply: once humanoid robots become widespread, companies that produce “memory semiconductors” will make money.
In the semiconductor content of a single robot, by price, up to 40% can be storage, and in terms of money it amounts to more than $600–$800 per unit. Also, some of it needs high-performance “HBM,” and in practice only three companies can produce it: Micron, Samsung, and SK hynix.
In short, the more humanoid robots there are, the easier it is for these three companies to earn money, right?
As the memory market expands, by 2027 it will exceed $1 trillion; in 2028, it is expected to hit a “trough”】
On August 24, 2026, the U.S. research firm Gartner released its latest forecast for global semiconductor sales. Global semiconductor sales in 2026 are expected to grow by 92% year-on-year, reaching $1.6 trillion (about ¥254 trillion).
In particular, growth in memory sales is especially notable. Memory sales are expected to exceed $1 trillion in 2027 (about ¥159 trillion).