❗️Through the VOICE trial, Neuralink patient Terry is using his Neuralink implant to help fine-tune a brain-to-voice interface for himself and others who can’t speak.

He trained the algorithm first by miming speech as best he could, then by simply thinking the words and hearing them come out in his own natural voice.

Powered by Grok Voice.

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🗣Peter Thiel says even a 5-10% chance of AI extinction is better than a world with no growth

"I don't think the probabilities are very high. On the other hand, if the probability is even 5% or 10%, that seems pretty bad."

"It doesn't necessarily follow that you should always go slower and always go in the precautionary direction, because if you do nothing, if there is no progress on any dimension, I don't think our societies work at all."

"The intergenerational progressive compact in our society was that there was progress from one generation to the next. Maybe economic progress, material progress, progress in health. And when that breaks down, I think the whole society starts to derange in very, very strange ways."

"There's a picture that people implicitly have that the alternative to AI, let's say, a zero-growth world where there's no progress at all, will somehow be this peaceful, social democratic society. And I don't think that's true."

Mathias Döpfner: “If America is slowing down and China is accelerating, we are just strengthening China, but it's not solving anything."

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Artificial intelligence systems have now achieved the highest score possible—151—on the Mensa Norway IQ test.

Three years ago, AI received a score of 64 on the same assessment, similar to the result of random guessing. Over the following years, scores steadily increased: two years ago, AI matched the average human score; last year, AI achieved a score comparable to that of a genius.

As of this year, the system has reached the current test ceiling. There are no available measures to evaluate further progress. Future developments in AI cognitive performance, as measured by this particular test, remain unknown at this time.

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⚠️Claude just lost a major court battle with the Pentagon

Anthropic has been fighting the Pentagon over one question: should Claude be allowed to refuse certain military uses?

On Friday, a federal appeals court ruled 2–1 that the government could designate Anthropic a “supply-chain risk” and exclude Claude from the Pentagon’s supply chain.

The court pointed directly at Anthropic’s model safeguards, noting that Claude is designed to refuse tasks the company does not want it performing, including restrictions around lethal autonomous warfare and domestic surveillance.

The ruling also acknowledged Anthropic’s safety intentions, but said the legal question turns on what the company does, not why it does it.

Anthropic says it disagrees with the decision and is considering further legal options. Meanwhile, a separate California ruling had previously blocked the government’s broader blacklisting effort, creating an unusual split in the legal battle.

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❗️OpenAI stopped training of their most capable upcoming models due to another incident on sept. 20th.

OpenAI slowed down due to serious new developments.

Source.

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❗️Anthropic’s founders want 50.1% of the voting power before going public.

Dario Amodei and his six co-founders are asking shareholders to approve a super-voting share structure that hands them 50.1% of the vote on most corporate matters.

Here's what makes this unusual:

- They each own roughly 2% of the company.
- They've pledged to give away 80% of their wealth.
- They're not taking extra economics. Just control.

This is a group of people who believe they're building something existentially important and refuse to let public markets override their judgment at the critical moment.

At a $1.5T secondary valuation, the stakes for getting post-IPO governance right are enormous.

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⚠️The internet may be poisoning the next generation of AI

Researchers from Oxford and Cambridge have highlighted a major problem for future AI models: model collapse.

As AI-generated text floods the internet, future models could increasingly train on content produced by previous models. The result? AI may gradually lose the rare, creative and unusual patterns found in genuine human data.

The researchers found that repeatedly training models on generated data can cause them to lose the “tails” of the original data distribution, essentially forgetting the weird, diverse examples that make human knowledge so rich.

And this isn’t limited to ChatGPT. The researchers showed the phenomenon can affect multiple types of generative models, suggesting it’s a broader problem with learning from recursively generated data.

AI companies depend heavily on massive amounts of web data. If the web becomes increasingly synthetic, authentic human-generated data could become one of the most valuable resources in AI.

Source.

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🗣Sam Altman: whether we burn $500 million, $5 billion, or $50 billion a year, I don’t care.

“As long as we stay on a trajectory where we eventually create way more value for society than that.”

“And as long as we can figure out a way to pay the bills.”

“We’re making AGI.”

“It’s gonna be expensive.”

“It’s totally worth it.”

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🗣University of Louisville computer scientist Roman Yampolskiy on why humanity could become a secondary species on its own planet:

"Superintelligence doesn't hate you. It just doesn't care about you."

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🛒 AI is quietly becoming the new shopping layer

Shopping is now the third-most-used AI application, according to an Epsilon research report.

But there’s a huge gap in how people use it: 42% of surveyed shoppers use AI to compare prices, while only 16% let AI finalize a purchase.

That 26-point gap could be the biggest opportunity in agentic commerce.

The shift is already showing up in the numbers. Shopify says AI-driven traffic to merchants grew 8× year over year in Q1 2026, while orders from AI-powered searches rose nearly 13%. Buyers arriving through AI channels were also ordering at almost twice the rate of other channels.

Shopify is connecting Shop Pay to Meta’s Muse, giving outside AI agents a path into its commerce infrastructure.

Amazon is taking the opposite approach, blocking dozens of third-party shopping agents, including ChatGPT, while pushing shoppers toward its own AI assistant, Rufus.

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Opus 5.5 can disrupt the educational videos industry.

Electricity

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axios: Donald Trump plans a private White House dinner with Anthropic CEO Dario Amodei, their first one-on-one meeting.

Trump issued the invitation himself after Amodei missed last week's state dinner for Chinese President Xi Jinping

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🗣️Dario Amodei: If my revenue is not $1 trillion by 2027, Anthropic will go bankrupt.

“I could assume that revenue will continue growing 10x a year.”

“$100 billion at the end of 2026 and $1 trillion at the end of 2027.”

“I could buy a trillion dollars a year of compute.”

“But if my revenue is not a trillion dollars, if it’s even $800 billion, there’s no hedge on earth that could stop me from going bankrupt.”

“If the growth rate is 5x instead of 10x, then you go bankrupt.”

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❗️The biotech rabbit hole is getting strange

The wild part of AI in biology right now isn’t that models can predict proteins.It’s that the entire research loop is starting to close.

This week alone:

• Stanford ran a virtual biotech with 37,000 AI agents that generated and tested hypotheses at a scale humans couldn’t realistically match. One proposed cancer therapy was later independently confirmed by a pharmaceutical company seven months afterward.
• Novo Nordisk revealed it now has 600+ AI and digital employees and more than 30 AI partnerships embedded in its actual R&D operation.
• Nvidia-backed Iambic filed for a US IPO with an AI-designed oncology drug already in clinical development, alongside a new partnership with AbbVie.
• A model trained on 20,000+ private pharmaceutical protein structures reportedly outperformed public models, raising a potentially bigger question: is proprietary biological data becoming the real moat?
• Stanford trained a cell model on 112 million cells across 12 species, pushing toward something closer to a general-purpose model of biology.
• Anthropic is even operating a molecular-biology lab where humans and AI agents generate hypotheses and run physical experiments.

And that points to a strange new bottleneck. AI may soon be able to generate biological hypotheses faster than scientists can physically test them.

At that point, the limiting factor isn’t just intelligence. It’s data, lab capacity and the speed at which reality can catch up with the machines.

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