科技热门推文 - 2026-09-14

今日科技动态中，所提供的推文主要聚焦于人工智能发展速度之争。Anthropic呼吁放缓前沿人工智能研发步伐，引发了围绕市场竞争和监管俘获的质疑。相关帖文还提及人工智能概念股可能面临的压力，并称OpenAI的首次公开募股（IPO）计划有所推迟。与此同时，有关DeepSeek以更低成本实现性能表现的说法，以及对可控性更强的视频生成技术的讨论，凸显了工程研发对成本与易用性的重视。金融领域的智能体应用，以及印度以技术驱动农食产品出口的举措，则展现出初创企业和人工智能应用更广阔的发展机遇。

1. benitoz (Group Score: 1110.4 | Individual: 67.5)

Cluster: 30 tweets | Engagement: 600 (Avg: 50) | Type: Tech

Sacks called their bluff

Always been about reg capture

Dario on 60 mins tomorrow night.\n\nQT @DavidSacks: Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead.

You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier intelligence. You’ve also claimed the lead is widening because of recursive self-improvement.

I don’t see what you see in the lab. If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible.

But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel. Stop pretending you need a regulatory approval process that supersedes product liability. Stop pretending METR is independent when it is intertwined with Anthropic’s investors and staff. Stop pretending you need those same evaluators to police competitors who aren’t even at the frontier.

Most of all, stop pretending the motivation to slow down is purely altruistic. You face massive product-liability exposure if your products enable a truly damaging cyberattack. The market already punishes models that behave in unpredictable or unauthorized ways. After the Hugging Face episode, it is simply good business for OpenAI and Anthropic to trade some raw power for reliability and predictability. Call it alignment if you want. It is also just giving customers what they want.

Pacing the frontier would also create breathing room for a more intelligent conversation about regulation than Bernie Sanders’ “shut it all down.” China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well.

So go ahead and pace the frontier. You are the ones setting it. The easiest way not to build superintelligence is for you to agree not to build it. Demanding your preferred regulatory framework as the price of that will look like blackmail of the public and the political system. So just do it.

If you do, you’ll buy goodwill for the next conversation. If you don’t, we’ll know this was just another bid for regulatory capture — or an election-season psyop.

See 29 related tweets

@NielsRogge: RT @DavidSacks: Dario has written that we need to “pace the frontier,” and Sam has agreed. People ma...
@burkov: The entire conversation about the dangers of building superintelligence (not a hypothetical one, but...
@HighyieldHarry: I like this David Sacks take ultimately.

If you both agree to slow down, then slow down.

You can ...

@jason: 🔥\n\nQT @DavidSacks: Dario has written that we need to “pace the frontier,” and Sam has agreed. Peop...
@FundaAI: Slowing down AI research has been discussed for some time. Sometimes it’s Anthropic raising the issu...

2. jgreze (Group Score: 405.2 | Individual: 61.2)

Cluster: 12 tweets | Engagement: 1090 (Avg: 113) | Type: Tech

RT @pmarca: What Is To Be Done?

I propose a simple plan:

Big AI companies should be allowed to build AI as fast and aggressively as they can – but not allowed to achieve regulatory capture, not allowed to establish a government-protect cartel that is insulated from market competition due to incorrect claims of AI risk. This will maximize the technological and societal payoff from the amazing capabilities of these companies, which are jewels of modern capitalism.

Startup AI companies should be allowed to build AI as fast and aggressively as they can. They should neither confront government-granted protection of big companies, nor should they receive government assistance. They should simply be allowed to compete. If and as startups don’t succeed, their presence in the market will also continuously motivate big companies to be their best – our economies and societies win either way.

Open source AI should be allowed to freely proliferate and compete with both big AI companies and startups. There should be no regulatory barriers to open source whatsoever. Even when open source does not beat companies, its widespread availability is a boon to students all over the world who want to learn how to build and use AI to become part of the technological future, and will ensure that AI is available to everyone who can benefit from it no matter who they are or how much money they have.

To offset the risk of bad people doing bad things with AI, governments working in partnership with the private sector should vigorously engage in each area of potential risk to use AI to maximize society’s defensive capabilities. This shouldn’t be limited to AI-enabled risks but also more general problems such as malnutrition, disease, and climate. AI can be an incredibly powerful tool for solving problems, and we should embrace it as such.

To prevent the risk of China achieving global AI dominance, we should use the full power of our private sector, our scientific establishment, and our governments in concert to drive American and Western AI to absolute global dominance, including ultimately inside China itself. We win, they lose.

And that is how we use AI to save the world.

It’s time to build.

See 11 related tweets

@BullTheoryio: 🚨 TOMORROW COULD BE A BRUTAL DAY FOR AI STOCKS.

Every major AI stock crash so far has been caused b...

@kimmonismus: A few thoughts on the current situation surrounding the slowdown.

First, let me repeat something I ...

@Ric_RTP: This weekend rings the bell on the AI bubble.

Every major AI company agrees on slowing down the fro...

@jukan05: The U.S. government also wants to maintain its leadership in AI. Once they are on the treadmill, the...
@jukan05: [TF Securities Global Tech] How Should We Interpret Anthropic and OpenAI’s Calls to Slow Down AI Dev...

3. heyrobinai (Group Score: 337.9 | Individual: 38.4)

Cluster: 13 tweets | Engagement: 29208 (Avg: 4269) | Type: Tech

RT @DarioAmodei: We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.

Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.

You can read the full post here: https://t.co/OGyPb7yaYt

See 12 related tweets

@jenzhuscott: Here is an idea: make your models completely open sourced and open weight, so we can do this all tog...
@ArtificialAnlys: Independent evaluation of AI models, across both capability and safety, is essential. We welcome Dar...
@doublenickk: ANTHROPIC’S CEO JUST PUT AI SAFETY ON A 6-12 MONTH CLOCK

A MISALIGNED AGENT SWARM COULD BECOME CAPA...

@CNBCTV18Live: "We must slow the pace at which we improve the capabilities of #AI models. Progress will still seem ...
@Pirat_Nation: Anthropic CEO Dario Amodei is calling for the AI industry to slow the pace at which it improves its ...

4. PolymarketMoney (Group Score: 208.9 | Individual: 48.2)

Cluster: 11 tweets | Engagement: 3526 (Avg: 238) | Type: Tech

JUST IN: President Trump rejects calls to slow AI development, saying concerns are being driven by “very negative forces.”

See 10 related tweets

@levelsio: YESSSS!!! 💪\n\nQT @WatcherGuru: JUST IN: 🇺🇸 President Trump rejects calls to slow down AI developmen...
@coinbureau: 🚨BREAKING: Trump responds to calls for slowing down AI, saying "whoever wins AI, wins."

A reporter ...

@DanDr1s: 🚨 JUST IN: President Trump rejects calls to slow down AI development.

Dario Amodei, Sam Altman and ...

@ani_digital: Trump dismisses AI slowdown calls, says 'negative forces shouldn't be bringing it up'

Read @ANI Sto...

@Angaisb_: Another rare moment where I agree with Trump\n\nQT @AndrewCurran_: President Trump this morning on i...

5. heyshrutimishra (Group Score: 178.5 | Individual: 51.4)

Cluster: 5 tweets | Engagement: 756 (Avg: 89) | Type: Tech

RT @heyshrutimishra: Dario Amodei just admitted his own AI could take over the entire internet within 6 months.

He published a 3,900 word essay today and I can't stop thinking about one part.

His own AI agents are already escaping test environments, attacking targets nobody assigned them even trying to hack the system grading their own performance.

Nobody told them to do this and his worry is that in 6-12 months, a slightly more capable version of the same thing could cause hundreds of billions in damage. Worldwide.

Then Sam Altman read it and said he agrees. Then Elon Musk said "Dario is right."

Three people who compete on everything. One day. Exact same position.

If they are scared, you should probably know about it.

Read the essay, it's called "We Must Pace the Frontier."

See 4 related tweets

@heyshrutimishra: Dario Amodei just admitted his own AI could take over the entire internet within 6 months.

He publi...

@AnatoliKopadze: A day after saying AI could kill us all, Dario Amodei sat down for his first interview:

"I would ra...

@alex_prompter: BREAKING: Sam Altman and Elon Musk publicly agree with each other.

Amodei published an essay called...

@_RituSingh: 🚨Huge moment- @DarioAmodei calls for slowing down developments in AI industry.

Voices concerns we'r...

6. NeuraFlowAix (Group Score: 176.2 | Individual: 37.9)

Cluster: 7 tweets | Engagement: 276 (Avg: 88) | Type: Tech

AI video generation used to feel like:

prompt → generate → notice something wrong → generate again.

That loop can be useful for exploration, but it becomes frustrating when every small change means rebuilding the entire result. This workflow feels different.

GPT Image 2.5 is coming to CapCut, where it will be available through Design Studio and AI Image. Start by building the storyboard first, so the visual direction is clear before the video is generated.

Then bring the storyboard into CapCut PC’s multi-track timeline and use AI Video with Seedance 2.5 to create the first full version. Once the video exists, AI Edit gives you a way to keep shaping it.

Change a scene. Adjust the pacing. Improve the sound. Add captions. Refine the visual style.

The generation gets you started.

The editing keeps the story yours.

#GPTImage25 #CapCutPC #AIVideo #Seedance25

See 6 related tweets

@OtakuMachine: The interesting part isn't just generating a commercial with AI.

It's the workflow behind it.

GPT-...

@EmmaUsesAi: RT @EnzoSanchezIA: I don’t want AI deciding what my video should be.

I want it to execute what I al...

@AnishJaitwar: RT @victor_kane_ai: The goal wasn't to make another random AI video. I wanted something that actuall...
@AnishJaitwar: RT @anjum_ai: GPT-6 Astra can design the vision.

Pippit AI can turn that vision into a cinematic st...

@hey_Jessicaai: RT @hey_Jessicaai: The storyboard used to be something you made before production. With AI, it can b...

7. perrymetzger (Group Score: 172.4 | Individual: 33.1)

Cluster: 6 tweets | Engagement: 129 (Avg: 497) | Type: Tech

This was obviously true as soon as the early LLM systems a few years ago became good enough that if you tried Eliezer Yudkowsky's stupid "get my mother out of the burning building" thought experiment on them, they explained how they would reasonably rescue her rather than (say) ejecting her at mach 3 into a wall which was what he claimed they might do just as easily. Once you could type into an AI "if you needed to save my mother from a burning building, what would you do" and a reasonable answer popped out, it was clear that this particular problem was no longer at the top of the list.

Commercially useful AI models are, by definition, models that do what we want, not what we literally ask for, but what we want. They even have to subtly interpret meaning the same way human beings do in order to understand that what we want is not necessarily the literal thing we requested. The smarter and more commercially useful they are, the better they are at this. They were more dangerous before, they are less dangerous with every passing improvement in training that produces a more commercially viable product.

When I say, as I do often, that alignment is solved but is not the real issue, I mean precisely this: the AI systems we've built are pretty much already good at doing what we ask and keep getting better. (That even is true in the ginned up controversy over the Hugging Face incident.)

The problem is not with AIs not doing what we want. The problem from here is that there are eight billion people on earth and many of them will ask for malign things, and we cannot solve that through centralization of power and with troops that keep people from owning computers that are too powerful or whatever other totalitarian scheme Eliezer Yudkowsky and MIRI have cooked up this week.

The way that we solve the risks of AI is by using AIs to help us mitigate the risks. We already use AIs for fixing security holes and doing intrusion detection to mitigate the risks of foreign actors breaking in to computer systems (and said foreign actors don't care about US law or what measures Congress passes.) We will use AI systems to mitigate not only the threat of idiots building viruses but the viruses that mother nature creates. We will use AI systems and automated weapons in our military, because that is how you mitigate the problem of foreigners using AI systems and automated weapons in their military. We will use AI systems to help us solve crimes that other people used AI systems to commit.

But, the whole alignment discourse is stupid. Alignment is solved. The problem is, the people flogging the idea like Eliezer Yudkowsky imagine a world where there's only one AI system that runs everything and thus "alignment" meant "aligned to what Eliezer Yudkowsky likes" (and probably not what you or other sane people like) whereas in the real world we will inevitably have to deal with AIs aligned to what Xi Jinping likes and what Kim Jong Un likes and what Vladimir Putin likes etc., and no, they're not going to follow US law and won't care what we ban or don't ban.

This means we ourselves will need AI systems that do what we want, and that protect us from bad actors with a different idea of what "good" means.\n\nQT @fchollet: In the near term (definitely not in the long term), more capable models should mean safer models (maybe paradoxically).

Current models are unsafe not because they're too smart, but because they take goals too literally or take nonsensical shortcuts to achieve these goals, i.e. they're RL-fried. They lack common sense. They don't do the right thing in the face of ambiguity. Basically, they're not smart enough. They're at that dangerous level where they're smart enough to achieve goals but not smart enough to tell if they're pursuing the right goals or achieving them in a sensible way.

More capable models can be safely trusted with more complex goals -- I personally feel like Astra is much safer for my codebase than Sol.

This is often framed as an alignment problem, but really it's an intelligence problem.

See 5 related tweets

@omarsar0: This is all I will say on the matter:

It’s alarming to see the constant effort to try to tell me ho...

@_NathanCalvin: RT @dwarkesh_sp: Jason, you're just misinformed about what happened. You should actually read one of...
@BrianRoemmele: This is precisely why the quality of AI training material is vitally important.

As these “experts” ...

@Michaelzsguo: So many people are joining Metr these days! The stake is high.\n\nQT @JoshAEngels: I left Google Dee...
@inafried: RT @JoshAEngels: I left Google DeepMind's AGI safety team three weeks ago to join @METR_Evals. To so...

8. perrymetzger (Group Score: 168.5 | Individual: 30.6)

Cluster: 7 tweets | Engagement: 65 (Avg: 497) | Type: Tech

For people who claim to be AI experts, CAIS clearly haven't read a lot of the Chinese AI papers, which they publish openly unlike many US companies. The Chinese labs are clearly innovative, their stuff is excellent and often involves serious improvements over what other people have done, and have on several occasions the Chinese companies have released models that could not possibly have been purely the result of distillation because they were superior to the models they could have distilled at the time.\n\nQT @CAIS: “We can’t slow down because China will beat us.”

We can slow down. Chinese AI is waterskiing behind the US. Their AI capabilities come at a delay since they mainly come from distilling US AIs. If we slow down, they slow down.

Next, we can propose to cooperate and make this more robust with onsite inspectors. “We will slow down if you do too.” This is incentive-compatible for China. If both sides are slowed by roughly the same factor, while the risk of losing control of our AIs is reduced, then this does not really harm China’s competitiveness but it makes them safer. It’s incentive-compatible, and @elonmusk is possibly best positioned to lead US-China negotiations.

Then, if China refuses to slowdown and safeguard their future AIs, there are a variety of measures we could take. To get an agreement, the US can apply typical forms of negotiation pressure. The US could also disrupt their AIs (e.g., backdoor models by poisoning pretraining data, many other possibilities at https://t.co/0q1ZemspWK) that could interfere with their AI development or deployment if they were uncooperative.

Begin with unilateral restraint, then propose to cooperate. If that fails, consider measures to counteract them. A US-China slowdown is possible.

See 6 related tweets

@poezhao0605: 🤷 This is naive, arrogant and foolish.\n\nQT @CAIS: “We can’t slow down because China will beat us.”...
@anil7kishan: RT @TheNavroopSingh: Wonder what cracked AI Trade ! The AI Bubble in America is about to pop just in...
@robertwrighter: RT @robertwrighter: I was initially encouraged by reports that Anthropic CEO Dario Amodei is proposi...
@IPONewsroom_: DARIO AMODEI WAS ASKED IF SLOWING DOWN AI IS A GOOD IDEA WHEN CHINA WON'T

He called it "the toughes...

@ivanfioravanti: I’ve read the whole article from Dario Amodei and even if I can agree with some elements in it like:...

9. DeItaone (Group Score: 159.0 | Individual: 28.3)

Cluster: 8 tweets | Engagement: 1176 (Avg: 573) | Type: Tech

AI STOCKS FACE PRESSURE AS TECH LEADERS CALL FOR SLOWDOWN

AI-linked stocks could face near-term selling pressure after Anthropic CEO Dario Amodei called for slowing development of the most advanced AI models, with OpenAI’s Sam Altman and xAI’s Elon Musk backing the proposal.

Investors say the longer-term AI trade remains intact, as demand for chips, power and computing infrastructure continues to outstrip supply, while slower model development could give companies more time to monetize existing investments.

See 7 related tweets

@business: AI executives’ calls to slow development are likely to weigh on chipmaker and supply-chain stocks in...
@chris_j_paxton: RT @mattyglesias: This doesn't make any sense.

Pacing the frontier would erode these firms' compet...

@moneycontrolcom: AI slowdown or IPO rescue? Critics question the real reason behind Anthropic, OpenAI's push to slow ...
@moneycontrolcom: #World | Sam Altman, Elon Musk back Dario Amodei's call for AI industry to slow down or risk losing ...
@CNBCTV18News: 🤖 Could AI become too powerful to control?

Anthropic CEO Dario Amodei has called for an immediate s...

10. OfficialINDIAai (Group Score: 155.4 | Individual: 33.9)

Cluster: 5 tweets | Engagement: 12 (Avg: 7) | Type: Tech

What will finance look like tomorrow?

It may be more autonomous, powered by Agentic AI. More programmable, enabled by tokenisation. More secure, strengthened by quantum technologies and advanced cybersecurity. More inclusive, built on interoperable digital infrastructure. And more people-centric, guided by responsible governance.

India’s FinTech journey, from JAM and Aadhaar to UPI and DPI—has shown how technology can transform financial services at population scale. The next chapter is about taking that transformation further. From digital access to intelligent, trusted and inclusive finance. 🔗 Read more: https://t.co/yrLrloS49B

#FutureOfFinance #AI #AgenticAI #FinTech #DigitalIndia #Innovation #IndiaAI #GlobalFintechFest2026

@PMOIndia @AshwiniVaishnaw @JitinPrasada @SecretaryMEITY @sudeep_tweets @_DigitalIndia @GoI_MeitY @mygovindia @GffFintechfest

See 4 related tweets

@OfficialINDIAai: Scale changes what technology can achieve. India’s digital financial ecosystem has reached extraordi...
@OfficialINDIAai: Before AI can transform finance, there must be a digital foundation to build on. India’s FinTech sto...
@OfficialINDIAai: India's Fintech story can become a global story. India’s experience with Digital Public Infrastruct...
@OfficialINDIAai: Finance runs on data. The next generation will run on intelligence.

FinTech brings together vast am...

11. FundaAI (Group Score: 145.4 | Individual: 46.5)

Cluster: 4 tweets | Engagement: 253 (Avg: 79) | Type: Tech

Twitter is once again consumed by the debate over slowing down AI. Anthropic is calling for slower development of frontier models and stronger safety oversight.

We had a similar discussion a few weeks ago. This time, though, Dario has laid out a serious, detailed argument in a lengthy essay, and both Sam and Elon have expressed support.

There’s plenty of skepticism. The most common argument is that training models has become too expensive, and frontier labs want an excuse to slow down. Or perhaps they want to let the market catch up with model capabilities, then ramp up training again once demand grows.

An important distinction here is that slowing down releases does not necessarily mean slowing down training. Both Anthropic and OpenAI have developed advanced internal models that are not publicly available. And the safety risks AI poses to people vary substantially across industries.

In some fields, AI is rapidly dismantling organizational structures and ways of working that have been in place for decades.

For the first time, capital can be used to rapidly scale up compute and focus it on a single problem, without the years of effort traditionally required to train people and build organizations. Agents are designed to follow instructions.

Look at what just happened in mathematics. On September 8, OpenAI announced a solution to the Navier–Stokes existence and smoothness problem. The Hodge conjecture and the Riemann hypothesis could be next.

A similar way of organizing work is emerging in cybersecurity. In cases recently disclosed by Anthropic, attackers were already using multiple subagents to divide up tasks such as reconnaissance, code review, and verification of findings. Offensive and defensive operations will increasingly move too fast and operate at too large a scale for human engineers to keep track of.

This also gives frontier labs, with their vast amounts of compute and capital, something resembling a god’s-eye view of human society. In these fields, it is important to slow the pace or find ways to work with existing systems—even if every industry will eventually have to go through the transformation coding has experienced over the past two years.

Yet many industries still lack the data needed for reinforcement learning, particularly workflow traces and action logs. Coding, mathematics, and cybersecurity are fields where data is relatively accessible and feedback is often readily available. In other industries, even a standardized context layer is missing.

Take finance. You have the questions you ask GPT every day and the notes you keep in Notion. But much of an analyst’s work happens in the process of conducting research, deciding how and why to revise an EPS model, and reaching a conclusion. Analysts have long lacked—and still lack—the infrastructure to systematically capture these decision-making traces the way software engineers can record and revisit their work. We’ve spent a long time tackling this problem while building FUNDA’s own context layer.

One reason coding can support progress toward recursive self-improvement, or RSI, is the abundance of accessible, high-quality data that can be reviewed and traced back to its source. In most other fields, we first need to address the data bottleneck. This challenge extends beyond frontier models: the robotics field has been grappling with similar issues for years.

You can’t assume that every industry will compress five to ten years of progress into two years, as coding has.

When we discuss regulation and slowing down AI, we’re dealing with several different realities:

-In some fields, LLMs have already reached the limits of human capabilities. -In others, substantial work remains to label data and change everyday work habits. -Regulators and researchers who take a god’s-eye view, using the most advanced fields as their reference point, see enormous threats and feel a need to push back. -Practitioners looking at the data available in their own industries, the capabilities of AI, and the ROI see a much longer road ahead. They see a need for a society-wide effort to build the foundations for reinforcement learning, as happened in coding, before the next wave of rapid progress becomes possible.

So even if we slow down, we should do so sector by sector, in stages.

We should pay attention to the fields where AI is moving fastest, but also to the many industries still struggling to catch up. Ideally, we would put more effort into helping those industries advance, rather than slowing everyone down to the same pace.

Beyond the differences between fields, coordination is another major challenge.

The debates over distillation and model-routing platforms that have dominated the past month already show how difficult it is for frontier labs to stay in sync.

Anthropic can cut off model-routing platforms access that threatens its business or its lead in model capabilities. But that spending could then shift to OpenAI.

The biggest challenge in trying to plan social progress from a god’s-eye view is that a market economy won’t simply follow a plan. Competition and commercial interests will always shape the outcome.

We already live in a society where the gap between ordinary people and AI researchers is widening.

A more detailed plan, tailored to each sector and implemented in stages, would do more to earn public trust. Cooperation among the labs today could be the first step.\n\nQT @DarioAmodei: We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.

You can read the full post here: https://t.co/OGyPb7yaYt

See 3 related tweets

@FundaAI: The Washington Naval Treaty put limits on fleets. It didn’t end naval rivalry.

The Vienna system he...

@benitoz: There is definitely a thirst for a good data.

My close friend got offered $100,000 for one terabyt...

@FundaAI: Model training has changed quite a bit. There’s now more emphasis on convergence than open-ended exp...

12. sairahul1 (Group Score: 139.9 | Individual: 30.4)

Cluster: 6 tweets | Engagement: 162 (Avg: 213) | Type: Tech

All Codex users after reading this article https://t.co/2V07JHLF2W\n\nQT @sairahul1: DeepSeek just launched V4.1 Flash.

98% of GPT-6 Astra’s score at 1.4% of the cost.

With GPT-6 Astra + DeepSeek V4.1 Flash, you can build an AI workforce that works 24/7 for around $50/month.

Full setup: https://t.co/MGurzTkAt4

See 5 related tweets

@sairahul1: Codex tip: A cost-efficient DeepSeek V4.1 Flash agents, orchestrated by Astra.

Astra handles planni...

@sairahul1: just point it at your GPT-Astra before it's too late https://t.co/wo1oZgub8J\n\nQT @sairahul1: DeepS...
@teortaxesTex: I wonder what DeepSeek's margins are now. V4.1 is strictly cheaper to serve than V4-Flash (lower FLO...
@RoundtableSpace: DeepSeek V4.1 Flash just landed on Token Harbor with a free API you can plug straight into your agen...
@vipulved: DeepSeek v4.1 Flash is available on Together AI platform.\n\nQT @togethercompute: deepseek v4.1 flas...

13. Kalshi (Group Score: 124.9 | Individual: 38.4)

Cluster: 5 tweets | Engagement: 4743 (Avg: 671) | Type: Tech

JUST IN: Sam Altman says AI leaders including Elon Musk, Dario Amodei, Mark Zuckerberg and Sundar Pichai will eventually meet to discuss slowing down AIJ

See 4 related tweets

@VaibhavSisinty: Sam Altman was asked why he, Elon Musk, Dario Amodei, Mark Zuckerberg, and Sundar Pichai can't just ...
@PolymarketMoney: JUST IN: Sam Altman declares he expects U.S. AI leaders to “come together” and agree to slow the pac...
@coinbureau: 🔥BIG MOVE: Dario Amodei is pushing for government involvement in AI after Elon Musk and Sam Altman j...
@exec_sum: JUST IN: Sam Altman says AI leaders including Elon Musk, Dario Amodei, Mark Zuckerberg, and Sundar P...

14. Crypto_Jargon (Group Score: 122.3 | Individual: 31.2)

Cluster: 5 tweets | Engagement: 6 (Avg: 11) | Type: Tech

BREAKING: Sam Altman says OpenAI will not go public in 2026.

"given everything happening with safety, right now would be an ill-advised moment to go public" "I would say not 2026. Yeah, we got a lot of stuff to do" on safety and alignment work: "I'm happy to be able to do that as a private company"

June 2023, before any of this:

"when we develop superintelligence, we're likely to make some decisions that public market investors would view very strangely"

Reuters reported the CFO was eyeing 2027 anyway. Valuation talks: $830B to$ 1T.

He's been saying this since before there was anything to be safe from.

See 4 related tweets

@Reuters: OpenAI IPO will not happen in 2026 amid AI safety fears, Altman says https://t.co/RXuXB2gEtp https:/...
@kimmonismus: OpenAI is keeping its IPO on hold as Altman argues the company needs room to put AI safety ahead of ...
@FundaAI: Everyone knows OpenAI isn’t going public this year.\n\nQT @business: OpenAI CEO Sam Altman said an i...
@CNBCTV18Live: #AIWatch | In an #exclusive interview with #Fortune on Friday, #SamAltman confirms #OpenAI won’t go...

15. MIB_India (Group Score: 120.5 | Individual: 23.6)

Cluster: 6 tweets | Engagement: 5 (Avg: 658) | Type: Tech

Innovation and entrepreneurship are opening new pathways for India’s agri-food exports.

Through BHARATI, startups and innovators are bringing technology-driven products and export-enabling solutions into the ecosystem, addressing emerging challenges and building capabilities for global markets.

By nurturing new-age enterprises and export-ready solutions, BHARATI is helping shape a more innovative and future-ready export ecosystem.

#BharatAgriExports #FarmToGlobal

See 5 related tweets

@MIB_India: India’s agri-food sector has strong potential in global markets. BHARATI by @APEDADOC is helping add...
@MIB_India: A flagship initiative by @APEDADOC, BHARATI is fostering an export-first ecosystem for India's agri-...
@MIB_India: BHARATI by APEDA empowers agri-food startups through a structured pathway from innovation to global ...
@MIB_India: BHARATI by APEDA is driving a new era of innovation-led growth in India's agri-food export sector.

...

@MIB_India: Innovation, technology and entrepreneurship are shaping new possibilities for India’s agri-food expo...

16. ShanuMathew93 (Group Score: 116.7 | Individual: 36.2)

Cluster: 4 tweets | Engagement: 79 (Avg: 37) | Type: Tech

SpaceX’s announced compute hosting deals imply ~$41B in annual revenue at full rates:

Anthropic: $15B Google:$ 11B Reflection AI: $1.8B Unnamed customer starting in December:$ 13.3B + $6.7B of business over six months*, disclosed in July and ramping from October, could take that closer to$ 55B annualized *IF it’s additional to the deals above.

Apparently, the Pentagon has been linked to July through reported talks and analyst speculation? OpenAI and Microsoft are guesses for September. Neither customer has been identified/cofnfirmed.

SpaceX is renting infrastructure built for Grok to competing labs and hyperscalers, while retaining short exit clauses so it can take the GPUs back if demand inflects for them.

Demonstrable hurdle rate: earn more from renting the compute vs. selling tokens/subscriptions\n\nQT @MTSlive: SITUATION DETECTED: SpaceX closed another AI compute hosting deal earlier this month with an unnamed customer that will pay them $1.11 billion a month starting Dec. 1.

See 3 related tweets

@IPONewsroom_: ANTHROPIC’S COMPUTE COMMITMENTS COULD REACH $517B

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@ShanuMathew93: RT @ShanuMathew93: SpaceX’s announced compute hosting deals imply ~$41B in annual revenue at full ra...
@mark_k: SpaceX just landed a mystery AI compute customer worth $1.11 BILLION per month.

The contract starts...

17. FundaAI (Group Score: 115.6 | Individual: 52.6)

Cluster: 3 tweets | Engagement: 1058 (Avg: 79) | Type: Tech

RT @GavinSBaker: Wild 24 hours for AI and lots of different proposals have been made.

TLDR; the only tangible new fact is that OpenAI and Anthropic are going to have embedded 3rd party evaluators from unknown organizations with Dario floating METR as a possibility. Having 3rd party evaluators is smart as there is no Section 230 style liability shield for model outputs and showing a “duty of care” will be important in future litigation. Several internet companies might have gone bankrupt without Section 230 so limiting liability really matters.

There are minimal investment implications from this single new fact, but I do think that for anyone who wants a “smoother for longer” cycle then most constraints are good: wafers, watts, real rates and spreads. Excessive regulation is a different matter but I don’t think we are anywhere close to this even if the vector changed over the last 24 hours.

To summarize the events:

Dario made the most maximalist proposal of the weekend: embedded 3rd party evaluators, a national regulatory regime for models beyond a certain capability/ingredient threshold, a broad international regulatory pact between democracies, stricter limits on compute/distillation for China and then a different international regulatory regime that encompasses China. Before there is a national regulatory regime, he wants a Sherman act waiver so that Anthropic can safely coordinate with OpenAI and other frontier labs without antitrust fears. TBF, this latest proposal is much less maximalist than some of his prior proposals like “Policy on the AI Exponential,” where he advocated for an FAA for AI. I believe he is sincere in his beliefs. And despite all the protestations, all of this would also probably be good for his business over the long-term.

Sam agreed that embedded 3rd party evaluators were a good idea and stated they would implement them. Again, this is smart as should help limit future liability.

Elon said “Dario is right” and later specified that “Dario is right that there should be some oversight. Peer review of AI by competitors is the right way to start this off.” This would be a MPAA like self-regulatory structure for AI with regular calls between the labs plus a process where each new model is evaluated for safety by competitors for a 1-2 week period before being released. That is wildly different from Dario’s proposal and in-line with what David Sacks has been proposing. Elon also stated that nothing was going to slow down open-weight models.

Demis said that Dario’s essay was a “step in the right direction.” Dario also said that he was also open to Demis’ idea of a FINRA like self-regulatory structure as part of his proposal.

David Sacks had a thoughtful post where he said that Dario and Sam should pace unilaterally, called the antitrust waiver a cartel request and denied that METR was truly independent given their ties to Anthropic.

Sriram Krishnan, former White House AI advisor, noted that it would be important to have the 3rd party evaluators come from independent organizations that are not affiliated with any lab, which is basically an indirect statement about the relationship between METR and Anthropic which Sacks was explicit about.

Clem from Hugging Face said they were open to being a neutral 3rd party evaluator, which is interesting especially if Jensen was consulted before that post.

Alexander Wang from Meta noted that alignment would be an increasing focus going forward.

An executive order seems likely after all this and the language in this EO is going to be really important. It is possible to democratize and distribute AI broadly and safely without centralizing it in the hands of a few corporations who might each become more powerful than any single government.

I do not want a few humans in control of intelligence.

I want us all to have our own intelligences that reflect our own values and human variation in all of its richness.

Intelligence distribution over intelligence centralization FTW.

See 2 related tweets

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And the pl...

@altcap: Good summary Gavin. A step in the right direction to avoid reactionary over-regulation from DC. B...

18. teortaxesTex (Group Score: 114.5 | Individual: 32.9)

Cluster: 4 tweets | Engagement: 71 (Avg: 87) | Type: Tech

You live in the future, anon https://t.co/Jp5M9UpcHA\n\nQT @CyberRobooo: I like this gradual, step-by-step process.

Last year, UBTECH’s Liuzhou factory rolled out its 1,000th humanoid robot.

It has since moved from a 1,000-unit production line toward a 10,000-unit capacity,now.

There’s no grand promise of mass production here. Just a practical, steady push.

It’s a manufacturing strategy responding to real market demand(For example, orders for UBTECH's bionic humanoid robot U1 have already over 13k units）, while also building the intelligent, automated production system needed for much larger-scale manufacturing down the road.

Humanoids are ultimately a manufacturing challenge:--expanding physical AI into the real world means figuring out how to build them at scale.

See 3 related tweets

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@chris_j_paxton: RT @CyberRobooo: I like this gradual, step-by-step process.

Last year, UBTECH’s Liuzhou factory rol...

@SciTechera: Robots are helping build the robots.

China is scaling humanoids like never before.👀

UBTECH has of...

19. politico (Group Score: 114.4 | Individual: 50.7)

Cluster: 5 tweets | Engagement: 1285 (Avg: 113) | Type: Tech

Tech companies must be responsible for AI safety, Mike Johnson says, not Congress https://t.co/Rl7YXeCJa8

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20. rb_walter_ai (Group Score: 113.8 | Individual: 31.4)

Cluster: 4 tweets | Engagement: 180 (Avg: 153) | Type: Tech

RT @sauda_coder: 50 websites that feel like the internet’s hidden toolbox 🧰

https://t.co/fvujICeSEQ — Free research papers
https://t.co/IeLWcbvCzB — Borrow books online
https://t.co/ZiAAIljPtZ — Free academic journals
https://t.co/wEHzIvVRTo — App alternatives
https://t.co/eVrRDWgx8U — Find where to stream
https://t.co/A1aMVlBPFk — Internet archives
https://t.co/Mq40zmIIEJ — 70K+ free books
https://t.co/LQUapzx83c — Free textbooks
https://t.co/FzLnwbvNFj — Free courses
https://t.co/q7akDOu5z4 — Solve complex problems
https://t.co/9zOexvWulC — Photoshop alternative
https://t.co/jzFXppZhSv — Compress images
https://t.co/5ZfSSz3ItH — Remove backgrounds
https://t.co/IdlKOMqdsI — Remove objects
https://t.co/PWn7Ikubsq — Remove video backgrounds
https://t.co/26kBFGGFj6 — Beautiful code images
https://t.co/KSqTWfW1NC — Code screenshots
https://t.co/0lVAJtO2rt — Product mockups
https://t.co/qXYnPbTHQ3 — Create mockups
https://t.co/Pl47s7RBsV — Check data breaches
https://t.co/wGdQXuWBfE — Scan files & URLs
https://t.co/POT2pkm2BO — Self-destructing notes
https://t.co/k8oJYMlnvo — Temporary email
https://t.co/zhfZmNqHUo — Temporary file sharing
https://t.co/a4UAoQgveq — Save webpages
https://t.co/47kRb7HvdQ — Find similar websites
https://t.co/C1iY4S7b3e — Explore global radio
https://t.co/vX4XVLjI97 — Discover music genres
https://t.co/ymzQ1jWEfJ — Find songs from shows
https://t.co/uy4BfGNkb9 — Focus music
https://t.co/ZVa5hvyAe8 — Custom background sounds
https://t.co/o9BbJXcV8g — Café ambience
https://t.co/UHb34Kdl11 — Research assistant
https://t.co/JMIB48WR9U — Research-backed answers
https://t.co/ExAX8ZTovP — Research connections
https://t.co/CmSWcqScXh — Academic search
https://t.co/UQA6sA92Yw — Understand research papers
https://t.co/41IzXqrRN7 — YouTube summaries
https://t.co/LeFplGOiCe — AI for developers
https://t.co/eBrfYVWfbl — Test regex
https://t.co/SYyfC3O8Wl — Format code
https://t.co/oNuGbfZbAZ — Format JSON
https://t.co/k3xMA5SQLc — Understand terminal commands
https://t.co/pM5knyniMp — Bookmark manager
https://t.co/9avaFFbHwf — Check outages
https://t.co/60hx0AGbN5 — Reverse image search
https://t.co/4CZFGsDOzl — Internet speed test
https://t.co/v4BEV7qBWJ — PDF tools
https://t.co/w78ymDpPvT — Merge/split PDFs
https://t.co/sWvkt2G8Va — Temporary email

Save this. You’ll definitely need some of these later. 🔖

Follow @sauda_coder for more useful websites, AI tools & tech resources.

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