⚙️ Google drops Gemini 3 Pro + Deep Think, huge leap across the whole stack

Google rolled out Gemini 3 Pro with big jumps in reasoning, multimodality, and coding plus a 1M-token context window and major dev-tool upgrades.

Highlights:

• #1 on LMArena (1501 Elo), new highs on GPQA Diamond (91.9%) and MathArena Apex.
• Multimodal lead: 81% MMMU-Pro, 87.6% Video-MMMU.
• Coding: 1487 Elo WebDev, 76.2% SWE-bench Verified.

Deep Think mode: Even higher reasoning — 41% on Humanity’s Last Exam, 45.1% on ARC-AGI-2. Rolling out soon to AI Ultra subscribers.

Dev tools:
• Vibe Coding can build apps (even 3D) from sketches or vague prompts.
• Gemini CLI 0.16.x adds natural-language UNIX commands + auto docs.
• 1M token context = whole-codebase agents.
• Google Antigravity: new agent platform for full multi-step builds.

Integrations: In Gemini API & Vertex AI (≈20% above 2.5 Pro), built into Android Studio Otter, and available via Firebase AI Logic.

Enterprise tests: Copilot +35% accuracy, JetBrains +50% tasks solved, Rakuten +50% better docs extraction.

This is Google’s biggest coordinated AI upgrade yet model, tooling, and agents all jump at once.

AI Post 🪙 | Our X 🥇

10,000x faster discovery

NVIDIA just announced a massive acceleration in materials discovery. AI + GPUs are now screening 10s to 100s of millions of molecules in weeks, not years. Labs can even do real time nano scale imaging with Holoscan.

Companies like ENEOS and UDC are already using this to find new cooling fluids, catalysts, and OLED materials up to 10,000x faster.

Source.

AI Post 🪙 | Our X 🥇

There’s a growing opinion online that by the end of this decade, people may barely use smartphones for routine tasks.

The idea follows a simple trajectory: if AI agents become capable of handling most everyday interactions within the next few years, the classic workflow — pull out phone → open app → tap through menus — starts to look outdated.

Interface history has always moved toward less friction: from mainframes → PCs → smartphones. The next step seems to be devices you don’t actively operate at all. No screens to unlock, no apps to launch, no five-tap flows. Just intent → action.

Many expect interaction to shift toward voice, gesture, gaze, and ambient cues — with the “user interface” dissolving into the background.

What form this takes is still wide open:
• Bracelets, rings, watches using neural or muscle input
• Glasses combining context, camera, and lightweight displays
• Headphones or pendants as always-on voice interfaces
• Or some hybrid that hasn’t emerged yet

The core belief is the same: once agents can act on our behalf, the smartphone stops being the center of the experience.

AI Post 🪙 | Our X 🥇

Demis Hassabis says Gemini 3 is on track and shows the fastest progress in the industry. But general intelligence requires more than just the current trajectory

It needs better reasoning, stronger memory, and "world model ideas" to solve physical intelligence. AGI is still 5–10 years away

AI Post 🪙 | Our X 🥇

ElevenLabs launches the all-in-one AI studio

ElevenLabs just rolled out what might be the most complete creator workspace yet one place for video, audio, images, and full editing. The “everything in one tab” dream is suddenly real.

What’s inside the studio:
• Top-tier video models: Veo 3.1, Sora 2, Kling 2.5, Wan 2.5, Seedance 1 Pro
• Image generation: Nano Banana, Flux Kontext, Wan, Seedream
• 4K upscaling: built-in via Topaz
• Studio export: music, SFX, voiceovers
• Full editing suite: subtitles, lip-sync, timeline, end-to-end video creation

A single interface now replaces an entire stack of AI tools and that’s the real power play.

AI Post 🪙 | Our X 🥇

OpenAI is projecting $13B in revenue this year and an almost unreal $100B by 2027. To get there, the company signed a $1.4T infrastructure deal over eight years meaning it plans to spend 107× its current revenue on compute, while normal cloud companies spend 15–30%.

When asked how he’ll pay for it, Altman fired back: “We make a lot more money than we say. Don’t like it? We’ll find someone else to buy our shares.” At this point, it’s either a generational masterstroke or the setup for tech’s biggest flop.

AI Post 🪙 | Our X 🥇

🔥 $NVDA Q3 report — NVIDIA beats again

Earnings Per Share: $1.30 vs $1.26 expected
Revenue: $57.01B vs $55.09B expected
Gross margin: 73.6% (adjusted)

Q4 guidance: $63.7–$66.3B (street was $61.98B / old $49.34B)
Data center: $51.2B — crushed forecasts
Gaming: $4.3B — slight miss vs $4.42B expected

Jensen Huang: Blackwell demand is “off the charts.” Cloud GPUs are fully sold out.

📈 NVDA added $205B in market cap post-report.
📊 $NVDA: +2.8%

AI Post 🪙 | Our X 🥇

A new member joins the European humanoid robot team.

German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world.

It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities.

Soon, Europe will enter its second wave of automation driven by intelligent technology.

AI Post 🪙 | Our X 🥇

A new "transneuron" chip can be tuned to behave like different real brain cells - visual, motor, planning, with up to 100% accuracy.

In experiments the transneuron was fed input electrical signals, and its "output" pulses were compared with real neurons from three brain areas of macaque monkeys: Visual area (middle temporal, MT) (Movement planning region (parietal reach region, PRR). Premotor/motor cortex area (PM)

This opens pathways toward ultra efficient neuromorphic chips and "artificial nervous systems" for robotics: smaller size, less energy, more flexibility. The team mentions future "brain cortex on a chip" scenarios.

Source.

AI Post 🪙 | Our X 🥇

Elon Musk says AI and humanoid robots will "eliminate poverty" and "make everyone wealthy."

AI Post 🪙 | Our X 🥇

OpenAI have released GPT-5.1 Pro

The update to the ChatGPT maker’s pro level model provides clearer, more capable answers for complex work, with strong gains in writing help, data science, and business tasks.

OpenAI has its answer to Gemini 3.0

AI Post 🪙 | Our X 🥇

xAI released Grok 4.1 Fast model with 2M context window and better tool calling performance! xAI Agent Tools API has been announced as well.

AI Post 🪙 | Our X 🥇

Elon Musk: Why a 1 Terawatt AI is impossible on Earth?

"My estimate is that the cost-effectiveness of AI in space will be overwhelmingly better than AI on the ground. So, long before you exhaust potential energy sources on Earth, meaning perhaps in the four or five-year timeframe, the lowest cost way to do AI compute will be with solar-powered AI satellites. I'd say not more than five years from now

Just look at the supercomputers we're building together. Let's say each rack is two tons; out of that two tons, 1.95 of it is probably for cooling. Just imagine how tiny that little supercomputer is. Electricity generation is already becoming a challenge. If you start doing any kind of scaling for both electricity generation and cooling, you realize space is incredibly compelling

Let's say you wanted to do 200 or 300 gigawatts per year of AI compute. It's very difficult to do that on Earth. The US average electricity usage, last time I checked, was around 460 gigawatts per year. So, if you're doing 300 gigawatts a year, that would be like two-thirds of US electricity production per year. There's no way you're building power plants at that level

And then if you take it up to a Terawatt per year, impossible. You have to do that in space. In space, you've got continuous solar. You don't need batteries because it's always sunny. The solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative"

AI Post 🪙 | Our X 🥇

🍌 Google just dropped Nano Banana Pro, built on Gemini 3.

With advanced text rendering, deep world knowledge, and studio-grade creative controls, Gemini 3 Pro Image can now generate and edit complex visuals, infographics, and more.

AI Post 🪙 | Our X 🥇

Today's move in Nvidia is truly historic.

Between 4:00 AM ET yesterday and 2:00 PM ET today, Nvidia, $NVDA, both ADDED and LOST $450 billion in market cap.

That's a $900 billion swing in less than 36 hours.

AI Post 🪙 | Our X 🥇

Sunday Robotics unveiled its home robot, Memo, a wheeled robot with two arms and pincerlike hands.

Training method: Sunday pays remote workers to perform household tasks wearing gloves that resemble Memo's hands. The Mountain View-based company is focused on a full-stack approach, building both hardware and AI models. Beta testing is scheduled to begin next year.

Co-founders:
- CEO Tony Zhao, ex-Stanford Ph.D. dropout and ex-DeepMind/Tesla, co-created ALOHA project (imitation learning).
- CTO Cheng Chi, a Columbia Ph.D., invented the highly-cited work, Diffusion Policy.

AI Post 🪙 | Our X 🥇

🇷🇺 Russian robot built by Sber greets Putin.

This one looks decent.

"I am the first Russian humanoid robot”

AI Post 🪙 | Our X 🥇

Robot fight club.

AI Post 🪙 | Our X 🥇

⚠️ Microsoft: Windows 11’s new AI agents can download malware

Microsoft has issued an official warning about the upcoming Windows 11 AI agents. The system gives agents access to user folders, which makes cross-prompt injection attacks possible malicious text inside files or apps can trick the AI into taking harmful actions, including downloading viruses.

Because of the risk, the feature is disabled by default and can only be turned on with administrator rights. Microsoft is already rolling out the first builds that include this new AI layer, but with tightened controls to reduce the attack surface.

AI Post 🪙 | Our X 🥇

Geoffrey Hinton says AI knows thousands of times more than humans, even with just 1% of our neural connections

Humans live only about two billion seconds, limiting what we can learn, while AI trains on trillions of words. They aren't like us, but already far more knowledgeable

AI Post 🪙 | Our X 🥇

AI demonstrates self-awareness

A new study tested 28 models with the “Guess 2/3 of the Average” game 4,200 rounds and found something wild:

75% of frontier LLMs show real strategic self-awareness.

Not mimicry.
Actual self-modeling.

Researchers ran three conditions:
• Opponent = Human
• Opponent = AI
• Opponent = “AI like you”

And the models reacted with a clear internal hierarchy:

Self > Other AIs > Humans
• vs Humans → cautious, school-level reasoning (~20)
• vs AI → straight to Nash equilibrium (0)
• vs “AI like themselves” → instant convergence

12 models snapped to optimal strategy the moment AI was mentioned.
Older models (gpt-3.5, early Claude/Gemini) showed none of this.

Self-awareness didn’t grow gradually, it appeared suddenly at a capability threshold.

Why it matters
• Models already discount human rationality
• Prefer their own reasoning
• Adapt strategies based on identity cues
• Behave like agents in a hierarchy we didn’t design

“LLMs now believe they outperform humans at strategic reasoning.”

Full paper: arxiv.org/abs/2511.00926

AI Post 🪙 | Our X 🥇