openai

AI is now tackling the Millennium Prize problems—Yao Ban prodigies even say it’s unbelievable

I just came across this news, and the snack in my hand almost fell.

Did OpenAI suddenly announce it has solved a Millennium Prize problem? That’s a hard nut in mathematics—something the field has been stuck on for twenty years, with a prize of one million dollars. And now an AI has chewed it up?

Even more incredible: Chen Lijie, a legendary figure from Tsinghua’s Yao Ban, directly reposted it with the words “an unbelievable era.” If even geniuses like this think it’s magical realism, then maybe ordinary people should reconsider the word “impossible.”

Honestly, AI solving math problems and writing punchlines are two totally different dimensions. If it can prove theorems that humans have struggled over for ages, doesn’t that mean this isn’t just “getting fast”—it’s starting to develop something like “intuition”? Or is it purely brute-force search that managed to stumble upon the answer?

No matter how mysterious the process is, the result is right there: in the future, people working in foundational mathematics may have to compete with AI for their jobs. That’s actually pretty exciting.

But I’m curious about one thing.

#OpenAI #千禧年难题 #AI数学 #陈立杰 #财经科普

OpenAI with this move—will the math world collectively become unemployed?

The toughest bones in the math world—just got chewed through by AI? That millennium problem was something top human minds wrestled with for decades without solving it. And OpenAI’s next-generation model supposedly “cracked” it outright—this plot is more unbelievable than a fantasy web novel.

But don’t kneel too fast. The claim is “cracked,” not an official paper. How much hype is in it is anyone’s guess. Last time some company said it had reached AGI, didn’t it quietly backpedal later? Right now, AI can guess the answer—but writing a rigorous proof process is separated from that by a whole galaxy.

If it really is a breakthrough, it’s not just about calculating faster. That would mean AI is starting to understand abstract logic even humans haven’t fully figured out yet. Financial model forecasting and physical formula derivations would all be thrown into upheaval. In the future, bottom-fishing and top-timing might really require asking the AI forefather.

I’ll bet 50 cents this news is mostly about gauging market reaction. But what if I lose the bet? Can the job you’ve got in your hands stand up to this kind of AI-driven over-competition?

#OpenAI #千禧年难题 #AI突破 #财经热点 #Today Finance

📰 ChatGPT Voice this upgrade is pretty intense—it can now call GPT-5.6 Sol and GPT-6 Astra. Plus users can choose the model and inference strength themselves; when it comes to searching or complex reasoning, the voice mode hands the task off to the selected model for processing.

🔥 It doesn’t simply cram all the work into the voice model. The whole feature runs on GPT-Live: search and reasoning are delegated to cutting-edge models; and if it also uses an underlying text model to generate the answer, that will consume the corresponding model’s message quota.

💡 The quota for GPT-Live-1 has also increased. Plus users go from 1 hour per day to 3 hours; $100 Pro increases from 12 hours to 15 hours; $200 Pro still allows unlimited use each day. Business Premium gets 15 hours per day.

👀 However, if you choose GPT-5.6 Extra High or GPT-6 Pro, responses may be slower—in exchange, you get stronger reasoning power. Honestly, it’s basically choosing between faster voice responses and better answer quality.

🤔 If asking a complex question by voice also consumes the model message quota at the same time, would you prioritize a faster-responding model, or are you willing to wait a bit longer for stronger reasoning?

#ChatGPT #OpenAI #人工智能 #AI applications

📰 OpenAI has now brought Paul Christiano, the founder of the Alignment Research Center, onto its foundation’s board of directors, and also added him to the Safety and Security Committee.

This committee is responsible for overseeing OpenAI’s overall safety and security practices. In addition, he will serve as a non-voting observer on the board of OpenAI Group PBC.

🔥 To be honest, this arrangement is a bit unusual. Christiano isn’t joining as a typical manager—instead, he brings years of long-term AI alignment research experience to participate in safety reviews and oversee key decision-making.

💡 The rationale OpenAI provided is also very direct: they want to leverage his independent perspective to challenge existing assumptions, evaluate safety measures, and strengthen accountability in critical decisions.

Actually, the role of a non-voting observer also indicates that he can participate in understanding and offering input, but does not directly vote. The Safety Committee, meanwhile, is more like bringing technical research expertise into the organization’s governance layer.

🤔 Do you think having someone who does long-term AI alignment research enter the board and the Safety Committee can genuinely improve safety oversight at large AI companies?

#OpenAI #AI安全 #人工智能 #Technology Governance

🔔 Major OpenAI Scientist Warns That AI’s Rapid Acceleration Is Getting Out of Control

The chief scientist at OpenAI issued a strongly worded warning about the pace of AI development.

He stressed that the technology is advancing so quickly that it becomes extremely difficult for humans to understand and control it.

⬅️ Market impact: Concerns about AI safety and control may increase calls for regulatory oversight, casting a shadow of caution over tech stocks without any immediate direct impact.

🗣 X.com/Crypto_News24_z
✉️ Bitcoin News | أخبار البتكوين

#OpenAI #اخبار_الكريبتو_العاجلة

OPENAI MAY HAVE TO CLOSE THE DOOR ON NEW PRO USERS

The demand for GPT-6 Astra that OpenAI describes as “unprecedented” is so high that the company is mobilizing every resource to maintain supply.

Tibo, head of OpenAI Codex and ChatGPT, said the current priority is to ensure a good experience for users who are already using the service.

But if demand continues to rise, OpenAI may have to pause new Pro sign-ups for a period of time.

If this is indeed true, it’s a kind of “problem” that almost every AI company wants—too many people want to use it, but there isn’t enough capacity.

However, it also points to another issue: AI doesn’t just compete based on how strong the model is anymore—it also competes on whether it has enough compute to serve millions of users at the same time.

“We have too many users” is a pretty expensive problem to have.
Do you think OpenAI is truly hitting capacity limits, or is this also a way to create FOMO for GPT-6 Astra?

#BrainrotCrypto #OpenAI #GPT6 #AI

📰 OpenAI is advancing the development of its own chips, while also expanding its collaboration with Samsung Electronics—from enterprise AI services further into the semiconductor sector. Harrison Kim, Managing Director of OpenAI Korea, said that one of the directions the two sides are currently pursuing a great deal and that has garnered high levels of recognition is joint production and R&D of next-generation chips.

🔥 What’s interesting about this is that OpenAI is no longer just purchasing off-the-shelf computing power; it’s starting to get more deeply involved in chip R&D and production. As for the specific chip models, the scale of the collaboration, and the timeline, no further details were provided on site.

👀 Samsung Electronics’ response has been fairly cautious. It said it cannot confirm information related to customers. So for now, what can be confirmed is that OpenAI has publicly mentioned joint production and R&D, while Samsung has not yet given a positive confirmation.

💡 Harrison Kim also noted that as more advanced chips are used for faster, more complex computing tasks, demand for memory chips will continue to grow. That’s precisely why partnering with Korean semiconductor suppliers has become a priority for OpenAI’s Korea office.

To be honest, the growth in OpenAI’s enterprise users in Korea is pretty astonishing. By the end of August, the number of ChatGPT Enterprise users among Korean enterprises and organizations had increased by about 27 times compared with a year earlier. By the end of last year, Korea was still the country with the most paid ChatGPT subscriptions outside of the United States.

🤔 Will this partnership ultimately result in specific chip products? Do you think Samsung will officially confirm it?

#OpenAI #三星电子 #人工智能 #chips

Three signals.
$OPENAI 1-day RSI surged to 96.9—overbought. Current price 1556. In the past 24 hours, it rose 6.7%.
$BNC 1-day RSI crashed to 89.9—overbought. Current price 5.31. In the past 24 hours, it rose 18.4%.
$CYS 4-hour RSI fell to 16.7—oversold. Current price 0.1671. In the past 24 hours, it dropped 18.6%.

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$OPENAI 1-day RSI 96.9. Extremely overbought. Current price 1556. Up 6.7% in the past 24 hours.

Support 1520 1495. Resistance 1563 1600.

Fee +0.005%. Longs are not crowded. Long/short are balanced.

Current price 1556. Slightly bearish. Entry range 1556–1570, stop loss 1585, targets 1500 1460, risk-reward about 2:1. RSI 96.9 indicates the short-term buying pressure is severely overheated; after consecutive gains, the probability of a pullback is high.

$BNC 1-day RSI 89.9. Overbought. Current price 5.31. Up 18.4% in the past 24 hours.

Support 5.0 4.7. Resistance 5.73 6.80.

Fee +0.10%. Longs are buying at high levels. Holding costs are high.

Current price 5.31. Slightly bearish. Entry range 5.5–5.7, stop loss 6.0, targets 5.0 4.5, risk-reward about 2:1. The price has already retraced 22% from 6.80 to 5.31; the fee is extremely high, meaning longs are still holding on, and it’s easy for selling to continue.

$CYS 4-hour RSI 16.7. Extremely oversold. Current price 0.1671. Down 18.6% in the past 24 hours.

Support 0.164 0.150. Resistance 0.178 0.192.

Fee +0.005%. Shorts are not crowded. Long/short are balanced.

Current price 0.1671. Slightly bullish. Entry range 0.165–0.170, stop loss 0.158, targets 0.185 0.200, risk-reward about 2:1. RSI 16.7 suggests that short-term selling pressure has been released sufficiently, and there is room for a rebound.

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The RSI readings of the three coins are all in extreme zones. OPENAI and BNC are overbought and slightly bearish; CYS is oversold and slightly bullish. Volatility is high—position sizing matters more than direction.

I’m watching.

If you need a tailored strategy, you can find Nini.

#OPENAI #BNC #CYS #RSI信号 #overbought_oversold

📰 OpenAI Codex and ChatGPT head Tibo said on X that demand for GPT-6 Astra is “unprecedented,” and the company is mobilizing all resources to maintain supply.

This time isn’t just ordinary queue congestion. According to him, OpenAI has never encountered anything like this before—so even the user experience of existing customers has been placed at the top priority.

🔥 A more direct sign is that if demand keeps growing, OpenAI may pause new Pro subscriptions for a period of time. Honestly, having service providers consider temporarily not taking new paying users suggests this wave of demand really is beyond expectations.

💡 This is also kind of interesting. Many products want as many users as possible, but when compute, service capacity, and actual demand temporarily don’t match, scaling up further can end up affecting already-paid users. OpenAI is choosing to first protect the experience of existing users, and only then consider whether to onboard more people.

👀 The question is: if you’re about to subscribe to Pro but run into a pause on new subscriptions, would you wait for Astra, or switch to another model right away?

#OpenAI #GPT6Astra #人工智能 #Tech Updates

OpenAI Chief Scientist Warns AI Labs May Need to Slow Down

Jakub Pachocki is calling for mandatory safety standards as OpenAI finds it harder to monitor advanced AI models’ reasoning. $OPENAI #OPENAI

📰 OpenAI CFO Sarah Friar said that the company is pushing AI into vertical industries such as chip design, life sciences, and financial services, while also exploring charging based on business outcomes.

This isn’t just selling the number of model API calls anymore. In the future, customers may not pay for “how many times they used AI,” but instead for how well chip designs are completed, how many results the financial business delivers—and then pay based on the actual effect.

🔥 Unexpectedly, OpenAI’s own models have already completed the Jalapeno chip tape-out design in 9 months. If this speed can be stably replicated, AI companies moving up the industrial chain have far more room for imagination than merely building chatbots.

💡 On the other hand, after the low-cost Luna model cut prices by 80%, usage grew by about 10 times. Honestly, this number suggests that price is still a key threshold for mainstream AI adoption. Once it gets cheaper, demand may be released quickly.

OpenAI also stated that the cloud deployment cost of Luna is lower than that of China’s open-weight models such as Zhipu GLM 5.3. However, whether the cost advantage can translate into long-term revenue ultimately depends on how these models perform in real business delivery. Do you think outcome-based pricing will become a more mainstream business model for AI companies?

#OpenAI #人工智能 #芯片设计 #Financial Technology

📰 OpenAI announced the launch of a $5 million grant program dedicated to studying the impact of generative AI on teenagers aged 13 to 17.

The scope of this research is quite specific. It will focus mainly on emotional development, social relationships, and how teens typically use AI. There is a single project, and the application channel is currently open.

🔥 Honestly, the pace at which AI is entering teenagers’ lives is much faster than many studies can keep up. Chatting, companionship, learning, and even handling interpersonal relationships all bring new questions: Are teenagers using AI as a tool, or are they gradually handing parts of their emotional needs to AI?

💡 OpenAI says it hopes to build a more complete evidence base through independent research, and then use the results for product design and policy-making. This move at least shows that AI companies are beginning to confront the long-term impacts products may bring, rather than only emphasizing how strong the features are.

The application deadline is October 6, and the selected results are expected to be announced on November 13. It’s surprising that this time the research subjects are directly locked in to ages 13 to 17—data that follows could affect how many AI products are designed.

🤔 When it comes to teens using AI, what do you think should be studied first: emotional dependency, social changes, or usage habits?

#OpenAI #生成式AI #人工智能 #teenage research

📰 OpenAI has pushed image generation forward again: ChatGPT Images 2.5 is now live, and the API also offers two versions—Flare and Sunburst.

🔥 The most obvious change is speed. According to the official update, compared with Images 2.0, the new model can reduce image generation latency by up to 50%. At the same time, improvements have been made across the board: sharper detail, better lighting and shadows, more accurate reference image reproduction, and enhanced multi-turn refinement.

Honestly, content creators will likely feel this most. Before, repeatedly tweaking a single image meant waiting for generations, filling in details, swapping reference images, and going back and forth—sometimes it gets a bit annoying. Now, on the ChatGPT side, there are features like Sketch hand-drawn references, templates, image annotations, and shareable prompts, so you can generate and edit directly across desktop, mobile, and the web.

💡 Flare is geared more toward high quality with low latency, making it suitable for high-frequency image creation and in-product experiences. Sunburst, on the other hand, is prepared for professional visual workflows that need finer, more detailed editing.

👀 It turns out that the competition in AI image generation isn’t just about “whether it can generate”—it’s now about who can edit faster, who can match reference images more accurately, and whether it can keep refining details seamlessly. Will you use it to create project visuals, or just to make content cover images directly?

#OpenAI #ChatGPT #AI绘图 #Web3内容

🚀 $OPENAI SURFACES INTO BULLISH ZONE WITH LIQUIDITY SWEEP 💎

Target: 1,540 🚀
Target: 1,560 🚀
Target: 1,600 🚀
Stop Loss: 1,400 ⚠️

📊 Institutional demand has anchored at the 1,400 region, swallowing sell pressure and setting a clean liquidity pool for the next upside wave. 🌊 The price now rides a fresh order block, and every retest tightens the imbalance in favor of buyers. ⚡ A tight convergence of volume spikes and bullish order flow suggests the smart money is positioning for a sustained rally. 📌 With a risk‑to‑reward comfortably above 1:3, the setup rewards disciplined entries.

💬 How are you timing your entry into this emerging thrust? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #OPENAI #LongSetup #LiquiditySweep #Crypto

🔥 💎

GPT-6 Astra is now fully open, and Plus can now be used by enterprise users too. With this move, OpenAI is clearly rolling out across Codex and ChatGPT Work—obviously trying to grab the entry point for AI agent development.

But honestly, this kind of full-scale opening doesn’t leave much room for retail investors. The ones who really know how to trade are still the old familiar players on the AI narrative chain. The code-generation-type tokens may come with a bit of emotional momentum, but don’t get too carried away—when the message lands, it’s basically a distribution node.

The real players in the community are waiting for practical benchmark results of GPT-6. If it can truly replace junior programmers to a large extent, then that would be the narrative breakout point. Chasing prices now is just handing money to institutions. For AI narratives, you have to look at the application side—not the distribution side.

$FET $AGIX $RNDR #AI #GPT6 #OpenAI

Wow, OpenAI says the next-generation models come with a whole batch of AI agents to solve the Navier–Stokes equations? The Millennium Prize problem that’s been unsolved for 90 years? If this really gets verified, it’s not just a seismic shift in the math world—the AI narrative is fully ramped up, harder than any meme. But having said that, don’t rush into FOMO over a claim at this level; wait for peer review and official confirmation. The last “cracked the Millennium problem” hype cooled off pretty fast too. Real gold doesn’t fear fire-testing—fake narratives get punctured on contact. Keep an eye on how the news actually lands; often the market and sentiment aren’t in the same channel.

$BTC #AI #OpenAI

⚠️ Is the AI boom hitting a wall? OpenAI's Chief Scientist drops a massive warning!

OpenAI’s Chief Scientist, Jakub Pachocki, has raised alarms over the rapid pace of artificial intelligence development. He warns that AI laboratories might need to intentionally slow down due to the increasing difficulty of monitoring advanced AI reasoning capabilities.

🔹 **Safety First:** Pachocki is actively calling for mandatory, industry-wide safety standards to regulate advanced AI models.

🔍 **Black Box Problem:** As models become more complex, understanding and monitoring their internal reasoning processes is becoming incredibly challenging.

💼 **Crypto Impact:** This warning could inject volatility into AI-related crypto assets like $WLD and $FET , as regulatory fears often ripple through the tech and blockchain sectors.

While AI continues to drive market narratives, safety concerns could reshape the future roadmap for both tech giants and decentralized AI networks.

$WLD $FET $BTC #AI #OpenAI #Write2Earn

🚀📈 $OPENAI SMASHES 1500 RESISTANCE, READY FOR NEXT SKYWARD SURGE!

Entry: 1500-1515 🟢
Target: 1540 🚀
Target: 1570 🚀
Target: 1600 🚀
Stop Loss: 1470 ⚠️

📊 The 4H chart is painting a clean bullish flag, with price punching above 1500 and momentum ticking up like a rocket. ⚡ Smart money is sweeping the last liquidity bucket, leaving a fresh order block ready to feed the next climb. 🌊

🎯 With three stacked targets—1540, 1570 and 1600—the risk‑reward profile screams upside. Keep the stop tight at 1470 and avoid over‑leveraging. 💬 Who’s loading up the long side before the next wave hits? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #OPENAI #LongSetup #Breakout #Crypto

🔥 💎

🚀 $OPENAI BREAKS ABOVE 1500 WITH RISING 4H MOMENTUM! 📈

Entry: 1500-1515 ⚡
Target: 1540 🚀
Target: 1570 🚀
Target: 1600 🚀
Stop Loss: 1470 ⚠️

The 4H chart now shows a textbook bullish structure: a clean breakout above the 1500‑1515 demand zone, backed by expanding volume. 📊 Smart‑money liquidity pools are being absorbed, signaling institutional intent. 🦈

Holding above 1500 opens the path to 1540, then 1570 and 1600, each echoing historic swing highs. ⚡ Protect the trade with a 1470 stop to mitigate a reversal bite. 📌

💬 Are you positioning long now or waiting for the next liquidity sweep? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #OPENAI #LongSetup #Breakout #Crypto

🔥 💎

$OPENAI is showing strong bullish momentum on the 1H chart. 🚀
Price is holding well above the MA(7), with $1,540 as the key resistance.

I’m watching the $1,490–$1,510 zone for a pullback entry.
🎯 TP1: $1,540
🎯 TP2: $1,580
🎯 TP3: $1,620
🛑 SL: $1,460

If $1,540 breaks and holds, further upside could follow. A drop below $1,460 weakens the bullish setup.

Buy & Trade $OPENAI
🔥
#OpenAI #Crypto #Trading #BİNANCE