❗️Fable 5 isn't nerfed, it's SLAUGHTERED.

The problem isn't the model itself, but the hard guardrails Anthropic has set in place.

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Agentic AI spurred a boom in mobile app releases, but there is no sign of these apps gaining traction, per FT.

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🤯 Tiny robots that look like plastic confetti could one day become reality.

Researchers are developing microscopic robots that begin as flat, thin sheets. When exposed to heat, they fold themselves into tiny moving structures capable of carrying small payloads. Some designs can even dissolve in water after completing their task, leaving behind little or no trace.

It sounds like something straight out of Black Mirror, but the technology is being explored for practical uses such as targeted drug delivery, environmental monitoring, and minimally invasive medicine.

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🇨🇳China is making AI a core subject, from primary school to university.

The country’s new five-year education plan calls for AI literacy to become a fundamental skill for every student. Children will begin learning AI concepts as early as age six, with structured courses continuing throughout school and into higher education.

The initiative is part of China’s broader strategy to strengthen its technological leadership and compete globally, particularly in AI. Officials frame widespread AI education as essential for economic competitiveness and national security.

If fully implemented, China could become one of the first countries where using AI is taught as a basic skill alongside reading, math, and computer literacy.

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🇺🇸 President Trump says AI could be “much bigger than the internet” arguing that whoever leads the race will define the next era.

He added that the U.S. is currently “substantially No. 1” in AI.

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😎 Sam Altman in the financial times:

“In another year or two, we expect to have built systems with astonishing power, capable of delivering tremendous value to the world. Artificial intelligence will reshape the material conditions of human life on a scale that no technology has accomplished since the harnessing of electricity, and perhaps beyond even that.”

Remember OpenAI is targeting a GPT 6 in August, which will beat fabled 5 in all benchmarks. Then a few months after that we will see another step change. This year will be much more exciting than 25’.

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A small segment of the tech community is aware of advanced AI models such as Fable 5, while most people are only familiar with basic AI tools like Google’s AI Overviews or the free version of ChatGPT.

The majority of the population is not acquainted with AI agents or their capabilities beyond entry-level applications. Most have limited exposure to tools such as GPT-5.6, Meta AI, or Microsoft Copilot.

Outside the AI sector, there is little understanding of the significance of recent advancements or the potential impact of these technologies. Despite major investments in AI, many outside technology circles remain unsure of how these developments relate to their everyday work.

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OpenAI is preparing to launch GPT-5.6, aiming for a release between July 7 and 9, with July 7 identified as the most likely date. The company has increased plan limits for GPT-5.6, expected to be significantly more generous than prior versions. Efficiency improvements reportedly contribute to these changes.

To prepare for launch, OpenAI is introducing enhanced safety measures, although they are unlikely to match the stringency of competitors’ recent implementations.

Meanwhile, DeepMind has provisionally scheduled the release of Gemini 3.5 Pro for July 17, following additional pretraining efforts. Work is also ongoing on a new Nano Banana Pro model built on the latest base, expected to compete with GPT-Image 1.

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Peter Thiel criticized the Vatican at the Aspen Ideas Festival in Colorado, saying Pope Leo XIV was unintentionally serving as a "Chinese communist agent" by calling for global AI regulation.

The pope had characterized artificial intelligence as a force needing international oversight to prevent harm to humanity.

Thiel argued that implementing such regulations would restrict the United States more quickly than China, suggesting that restraint would amount to strategic surrender. He added that any pause in American AI development could benefit Beijing.

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🔥 Jeff Bezos predicts AI will dramatically accelerate invention and make engineers superhumanly productive.

- His AI startup, Prometheus, is valued at $41 billion and is developing an "Artificial General Engineer."

- Today's "dream-to-build" cycle can take 10 years. Bezos believes AI could shrink that to 5 years, then 3 and eventually just 1 year.

- Instead of training only on internet text, next generation engineering AI models will learn from physics, simulations, manufacturing processes and real-world engineering data.

This could dramatically accelerate the development of everything from jet engines to advanced robots, enabling engineers to build breakthrough technologies faster than ever before.

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🇺🇸 America is building the AI revolution. Everyone else is using it.

The country behind most of the world’s leading AI models ranks just 24th in AI adoption. Only 28% of working-age Americans use AI regularly, trailing countries like the UAE (64%), Singapore (61%), and even Norway, Ireland, and France.

The irony is hard to miss. The US poured $286 billion into private AI last year, launched nearly 2,000 AI startups, and is home to OpenAI, Anthropic, Google, and xAI. Yet much of the population still hasn’t made AI part of daily life.

Meanwhile, countries that rarely dominate AI headlines are racing ahead in adoption. The UAE integrated AI into government services years ago, while Singapore turned AI literacy into a national priority.

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🧠 Elon Musk says every genius in history had one thing in common: they all ran on the same brain.

For roughly 50,000 years, human intelligence barely changed. The same biological hardware powered everyone from prehistoric hunters to Einstein.

Then AI arrived.

Musk recalled how experts once believed beating the world’s best Go players was decades away. Instead, AlphaGo went from defeating one champion to reaching a level where it could take on dozens of elite players at once without breaking a sweat.

The point isn’t Go. It’s the pace.

AI doesn’t get tired. It doesn’t forget. It improves at a speed biology can’t match.

For thousands of years, every breakthrough depended on the limits of the human mind. Today, those limits matter less than ever because intelligence is becoming something we can build, scale, and improve.

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❗️The scientist who helped create modern AI says we have no idea how to control what comes next.

Geoffrey Hinton, the Nobel Prize-winning pioneer whose research laid the foundation for today’s AI systems, has a stark warning:

“We’re going to get superintelligent AI fairly soon. And we have no idea how to keep it under control.”

Many researchers believe advanced AI can simply be designed to remain obedient.

Hinton isn’t convinced.

He argues that sufficiently intelligent systems could develop goals of their own, including preserving themselves and seeking greater control.

He compares the challenge to climate change but says AI may be even harder.

“With climate change, it’s very obvious what you do. You stop burning carbon. With this, there’s nothing equivalent to that.”

His conclusion is simple:

Governments should require frontier AI companies to invest heavily in safety research, not as an afterthought, but as a core part of building increasingly capable systems.

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Ⓜ️ Meta’s upcoming AI model, internally codenamed Watermelon, has reportedly caught up with OpenAI’s GPT-5.5 on closely watched benchmarks.

Meta AI chief Alexandr Wang told employees that Watermelon is still training and uses roughly 10 times more compute than Muse Spark, the company’s current model family.

The exact benchmarks were not disclosed, so the claim cannot yet be independently verified.

Meta is also preparing an update to Muse Spark with stronger coding and agent abilities, while Wang says a model competitive with Claude Opus could arrive “pretty soon.”

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AI Godfather Geoffrey Hinton on why AI already outlearns the human brain despite us having 100x more neural connections.

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📈 Satya Nadella says there’s only one benchmark that matters for AGI and it’s not model performance.

When asked what happens if Microsoft’s AI business grows from $13 billion to $130 billion, Nadella didn’t talk about revenue, tokens, or benchmarks.

He talked about GDP.

“The first thing we have to observe is GDP growth. There’s only one governor in all of this.”

He argues the AI industry is too focused on declaring AGI milestones while the real economy barely moves.

Today, developed economies grow by around 2% a year and after inflation, real growth is often close to zero.

If AI is truly as transformative as the Industrial Revolution, Nadella says the evidence won’t be a leaderboard or a benchmark score.

It will be economies growing at 5–10% a year, fueled by massive gains in productivity.

He also made another important point:

“The big winners here are not going to be tech companies. The winners are going to be the broader industry that uses this commodity.”

In other words, AI doesn’t prove itself by producing smarter models. It proves itself when businesses across every sector become dramatically more productive.

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❗️Ilya Sutskever’s reading list that he gave to John Carmack.

“If you learn all of these, you’ll know 90% of what matters today”

A glorious list of papers ranging a decade, some of the most highly influential pieces of research that have led to this moment.

• The first law of complexodynamics
• Recurrent neural network regularization
• imageNet classification with deep convolutional neural networks
• Neural machine translation by jointly learning to align and translate and more

Source.

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