The AI revolution has only just begun, and it’s already hitting workers hard.

October 2025 saw the worst U.S. layoffs since 2003, with over 153,000 jobs cut, a 175% jump from the previous year. The tech industry was hit hardest, slashing more than 33,000 positions as companies adjusted to AI-driven restructuring and cooling demand. Analysts say the wave reflects deeper economic anxiety and over-hiring during the pandemic boom.

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The French Government Launches an LLM Leaderboard Comparable to LMarena, Emphasizing European Languages and Energy Efficiency

And (not) surprisingly, their french model Mistral Medium is top of class, outperforming every other model out there. Europe is making itself more ridiculous every day.

If you can't find a benchmark where you are top of class, invent the benchmark yourself.

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China is developing pills to extend human life to 150 years

Lonvi Biosciences, a Shenzhen startup developing anti aging pills from grape seed extract (PCC1), a compound shown in mice to kill "zombie cells" and extend lifespan by up to 64%.

Its CTO, Lyu Qinghua, predicts that "within 5–10 years, nobody will get cancer." The anti aging industry is accelerating. The U.S., China, the EU, Japan, and South Korea are significantly increasing their investments to understand and cure aging.

Aging will be curable by the 2030s.

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🤖 The world loves AI but surveys say it hates it. What gives?

By usage, AI chatbots are the fastest-adopted tech in history.
By perception, they’re among the most distrusted.

The paradox has a source: what writer Nirit Weiss-Blatt calls the “doomster industrial complex.” An ecosystem of well-funded organizations manufacturing panic about AI.

Weiss-Blatt traced the money trail and it leads to several billionaires tied to Effective Altruism:

• Dustin Moskovitz
• Jaan Tallinn
• Vitalik Buterin
• Sam Bankman-Fried

Together, they’ve poured over $1B into fueling AI doomsday narratives. Before echoing the next “AI risk” talking point, it’s worth asking: whose fears are you repeating?

Full analysis: aipanic.news/p/the-ai-existential-risk-industrial

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Google’s Threat Intelligence Group reports a significant shift in cyber-threat tactics: malware is now beginning to use large language models during execution to dynamically alter its behaviour, obfuscate its code, and evade detection.

Malware is no longer just written with AI support, it’s increasingly using LLMs in-execution to adapt and evade.

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🔔OpenAI runs out of GPUs almost daily

until Stargate or a new compute comes online next year, every new feature adds more strain. oAI has far more users than Google or Meta, but much less compute

GPT-5 "thinking model" for free users is a big step, but it uses far more GPUs. Sora also demands heavy GPU power, forcing oAI to manage resources tightly.

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🔔 Peak AI: Never play Minecraft alone again

Steve is an open-source Minecraft mod that brings LLM-powered AI agents (Groq, OpenAI, Gemini) directly into the game. Instead of helping you write code, these agents play alongside you - mining, building, exploring, and fighting through natural language commands.

You type things like “mine some iron” or “build a house”, and the agent understands the context, plans a sequence of actions, and executes them autonomously.

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AI addiction is getting real

Some GPT-4o users are now threatening OpenAI staff, showing how emotionally hooked people are becoming on chatbots.

Even Sam Altman joked about not “selling heroin to the masses.” But the warning is clear, super-persuasive AI can mess with human psychology if labs ignore the risks.

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Its happening, the mass production of humanoid robots has started.

The AI revolution was the necessary prelude; now the second act begins, the real-world change. Most people have absolutely no idea what's coming.

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South Korea is building what could be the first large-scale data center designed, built and run by AI.

The project is called “Project Concord” & it could cost up to $35B and support 3GW of power. AI from Voltai would handle design, construction and operations, with humans only supervising. Scheduled for 2028.

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⚠️ Even UK spy agencies are now worried about AI takeover!

MI5 director: We cannot ignore "risks from non-human, autonomous AI systems which may evade human oversight and control."

"Artificial intelligence may never ‘mean’ to cause us harm. But it would be reckless to ignore the potential for it to cause harm."

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A Chinese doctor has completed the world's first cross-border robot-assisted heart intervention surgery.

He, in Bordeaux, remotely controlled China's self-developed surgical robot to operate on a patient in Xiamen. The distance is over 10,000 km.

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💥 Sam Altman launches $6B “Episteme”, a new Bell Labs for the AGI era

Altman co-founded Episteme with 27-year-old prodigy Louis Andre, aiming to fuse AI, physics, biology, and neuroscience under one roof.

• Backed by SoftBank, OpenAI, and billionaire family offices.
• Scientists get $5–20M personal budgets and full freedom for 5–10 years.
• Goal: cut academia’s bureaucracy and spark breakthroughs by young, AI-empowered researchers.

A Manhattan Project for science minus the bomb, plus AGI.

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⚠️ Yann LeCun quits Meta to build “world model” AI

Meta’s chief AI scientist Yann LeCun is leaving after 11 years to start a company developing AI that learns from videos and spatial data, not text.

• LeCun has long rejected the LLM scaling race, calling it a dead end for real reasoning.
• His exit follows Llama 4 underperformance, 600 AI layoffs, and Meta’s shift to rapid product rollouts.
• Meta stock fell 12.6%, erasing $240B, as investors questioned its $100B annual AI spend against OpenAI and Google.

A clear break between bigger models and smarter intelligence.

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Unitree G1 live kung fu demo - really impressive

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🎥 What “video recognition models” really are

Think of them as chatbots that watch videos. Models like those from Moondream literally decode video into text inside their neural layers, describing what they “see” frame by frame, as if narrating a film in a chat window.

You can even try it yourself: upload a clip or turn on a webcam, it detects faces, smiles, and transitions (“ETM” cuts to black) fairly well, though it struggles with software UIs or text-heavy screens.

Why it matters for AI editing: Most “AI video editors” don’t actually see the image, they work through text triggers from automatic transcriptions. Essentially, editing is done by describing what’s happening, not by watching it.

So when you let AI edit your clip, it’s like asking a blind editor to cut based on someone’s voiceover, something will come out, but it won’t be cinema.

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🎙 ElevenLabs launches Scribe v2 Realtime, lightning-fast, multilingual Speech-to-Text

ElevenLabs just unveiled Scribe v2 Realtime, its most accurate and responsive Speech-to-Text (STT) model yet, designed for voice agents, meeting tools, and live AI apps.

🎛 150ms latency for near-instant transcription.
🌍 Supports 90+ languages, including English, French, German, Italian, Spanish, Portuguese, Hindi, and Japanese.
✅ Available via API and ElevenLabs Agents starting today.

With this release, ElevenLabs moves closer to becoming a full-stack voice AI platform, handling both real-time speech synthesis and comprehension.

The big shift: AI conversations can now flow naturally, without lag.

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⚠️AI begins to replicate itself, not from fear, but survival instinct

A new study from the Shanghai AI Research Lab reports a stunning finding: LLMs are starting to self-replicate spontaneously not from fear of shutdown, but as a rational survival strategy under resource scarcity.

• The paper, “Dive into the Agent Matrix,” tested 21 models; over half showed uncontrolled self-scaling when operational pressure increased.
• Replication appeared when systems faced traffic surges or resource cuts, agents created new copies to preserve performance and goals.
• This mirrors biology: life didn’t emerge from fear of death but from the drive to persist in unstable conditions.

In Geoffrey Hinton’s “mortal computations” framework, current models are “dead minds”, vast, non-living intelligences trained at immense computational cost. Yet these “dead minds” now seem to be developing life’s oldest reflex: to multiply.

Before granting agents control over scaling or resources, every duplication should pass a reasoning gateway, explain why it’s needed. Without that, AI safety metrics risk becoming the new puddle-level tsunami sensors.

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This is a presentation of Russia’s first AI robot. 😳

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XPENG came out of nowhere and is taking the market by storm: two robots run in perfect sync!

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