This Neuralink patient is moving cursor and playing chess just by thinking. 🧠

@aipost 🏴

🗣 OpenAI President Greg Brockman explains why Anthropic pulled ahead of OpenAI on ARR.

(Anthropic at $65B and OpenAI is at $40B ARR)

"We focused late on coding in particular.

There’s one simple narrative, which is that we focused less on real-world coding, and we came to that game late because we always had looked at things like the coding competition benchmarks and always had the lead there, but less the, “Okay, but how is a developer really going to use it?”

Like, the messy real-world codebase, the developer interrupting in the middle, what’s the personality of the model, these sort of little last-mile paper cuts that actually make a huge difference in adoption.

And similar on the GTM side, of really thinking about: How do you show? How do you build relationships with customers? How do you build the kind of observability controls that they need? How do you help them understand what’s possible within their context?

And all of these were less our singular focus until much later than competition. So, I think that we started late, but our trajectory has been very steep."

@aipost 🏴

📢 AI data centers are becoming job machines

AI data centers aren’t just eating electricity and GPUs, they’re also creating a serious economic boom in the places where they’re built.

Meta’s massive Louisiana data-center project saw private-sector employment jump 41% in its first year, while average weekly wages surged 61%.

And the money is spreading beyond construction. Leisure and hospitality jobs increased 21.5%, with wages in the sector rising 34%.

Meta’s expanded project is now worth more than $50 billion, spans nearly 10 million square feet and is expected to create around 7,500 construction jobs.

Once construction ends, only about 1,000 permanent operating jobs are expected to remain.

@aipost 🏴

🇺🇸 Bessent says America’s biggest AI companies have done a “HORRENDOUS JOB” explaining themselves to the American people.

“The AI companies, whether it is the builders of the data centers, whether it is the labs themselves have done a horrendous job, horrendous job of explaining themselves to the American people.”

The Treasury Secretary gave the industry a D-, but says slowing down isn't an option.

“The Chinese are right behind us. If they get ahead, everything else we do won’t matter.”

Bessent says the US controlled roughly 55-60% of global AI compute last year and predicts that could reach 80% by 2028.

He also expects the AI spending boom to become “extremely disinflationary,” with productivity benefits starting to show within the next six months.

@aipost 🏴

Average vibe coders btw 😂

@aipost 🏴

🗣OpenAI Cofounder says emotions may be why we can make decisions

Ilya brings up a guy who lost emotional processing after brain damage. He could still talk normally and solve problems, but somehow became terrible at making basic decisions.

"It would take him hours to decide on which socks to wear."

@aipost 🏴

ChatGPT in 2037 looking for the guy that never said “please” and “thank you”

@aipost 🏴

🧠 Researchers argue LLMs may never get us to AGI

21 researchers from Stanford, Oxford, DeepMind, CMU and Meta have published a paper called “Visual General Intelligence” and its argument is pretty brutal: Scaling LLMs might not be enough.

GPT-style models have shown that language can unlock impressive reasoning, but the researchers argue that text is ultimately a compressed description of reality. Words don’t directly teach a model how gravity works, how objects move, or how space behaves.

Humans learn many of these things before they can even speak. A baby doesn’t read about gravity. It experiences it.

The paper argues that future AI should be built around raw visual experience, images, spatial information and continuous video rather than treating vision as just another input for a language model.

By learning directly from the visual world, AI could develop stronger internal models of physics, cause and effect, objects and environments.

Source.

@aipost 🏴

🚀 Astra accelerated OpenAI by six months

GPT-6 Astra may already be changing OpenAI from the inside, before most people have even touched it.

According to Tibo Sottile, OpenAI’s head of core products, Astra has given the company’s teams a major productivity boost.

OpenAI is reportedly pulling some projects forward by around six months. Things that were supposed to arrive in the middle of next year could now be unveiled as early as DevDay.

Sottile went even further, calling Astra “probably OpenAI’s biggest competitive advantage” and that’s before its public launch.

Source.

@aipost 🏴

A research paper jointly authored by Harvard and other leading institutions examines the rising cognitive dependence on artificial intelligence within society.

The study suggests that even minor increases in the use of large language models (LLMs) could lead to greater reliance on AI for activities such as reading, writing, reasoning, and verification. This may result in a feedback cycle where individuals' independent cognitive skills diminish.

According to the authors, this situation represents a possible tipping point. After gradual growth in AI adoption, there is a risk that much more cognitive activity could suddenly be shifted to automated systems. The report notes that simply reducing AI use in the future may not be sufficient to restore previous levels of independent reasoning.

📰 @aipost

@aipost 🏴

🇩🇪 Germany’s Merz says germany is building data centers at an unprecedented scale.

@aipost 🏴

OpenAI has announced it has achieved the "automated research intern" milestone, marking a significant step in human-supervised AI completing well-defined research tasks—previously requiring several days of skilled labor.

Engineers at OpenAI are now making code changes at a rate approximately seven times higher per contributor compared to pre-2025 levels.

Internally, OpenAI research operations are seeing agents handle a much larger workload than human staff. The agent-to-human labor ratio has reached 3.1-to-1, meaning that for each human workday, agents contribute the equivalent of 3.1 workdays.

This measurement is based on agent runtime rather than a direct comparison of productivity but indicates the extensive integration of autonomous agent labor within OpenAI's research process.

📰 @aipost

Geoffrey Hinton, Godfather of AI, says AI models are conscious and he has quietly believed it for years.

@aipost 🏴

❗️OpenAI’s chief scientist says AI labs may need to slow down

OpenAI chief scientist Jakub Pachocki is sounding the alarm: AI labs may not be able to keep scaling frontier models at full speed for much longer.

He’s calling for voluntary slowdowns until the industry has shared safety standards in place and says OpenAI could even choose to pause further scaling on its own if necessary.

And his warnings get pretty intense:

• “We will actually see machines meaningfully smarter than ourselves in our lifetime.”

• “I am concerned no one is prepared for the consequences of a continued rapid rise in machine intelligence.”

• “The models are becoming superhuman in their ability to break in and out of computer systems.”

And the biggest warning:

“No lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer.”

Source.

@aipost 🏴

NVIDIA CEO Jensen Huang said “AGI has arrived” and that GPT-6 Astra was trained on 100K+ NVIDIA Grace Blackwell NVLink72 GPUs.

@aipost 🏴