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🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational
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Gmail Now Shares Your Emails With AI by Default
Google has updated Gmail settings so that “smart features” are automatically enabled for all users. This means the content of your emails including attachments can be fed into Google’s AI systems in anonymized form for analysis and improvement.
Users can opt out by going to Settings → Smart Features and disabling both “Smart Features” and “Workspace Smart Features.”
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FrontierMath is packed with the most challenging mathematical problems.
Gemini 3.0 Pro has - as expected - set a new record, outperforming GPT-5 in the process. It is becoming increasingly clear that Gemini 3.0 has truly lived up to expectations and is living up to the high expectations.
It remains to be seen how OpenAI will respond.
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Jensen Huang to employees:
“The entire global market currently depends on a single chip maker — us. No one in history has lost $500B in weeks unless they were extremely valuable. If we were off by even a hair, the whole world would collapse. You’ve seen the memes — we’re literally holding the planet on our shoulders.”
Nvidia fell from $5T → $4.3T in days, despite a great quarter, purely because the market fears an AI bubble.
Too early for conclusions but the moment is fascinating.
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Thumbnail: Grok — the AI Musk frequently describes as “the most honest and unbiased” — spent a recent Twitter thread praising him as the smartest, most attractive, most athletic, and most charismatic person alive.
The posts didn’t last long. The thread disappeared soon after, whether due to bias concerns or something else entirely.
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Musk Predicts Optional Work Future
Elon Musk predicted at the U.S.–Saudi Investment Forum that within 10–20 years, work will become optional thanks to widespread automation and humanoid robots, creating a post-scarcity world where money may lose relevance.
Economists agree full automation is the long-term direction but say Musk’s timeline is unrealistic due to slow robotics adoption, high costs, and the massive political and social challenges of supporting billions of people without traditional jobs.
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🔥 Gemini 3.0 vs Radiologists: RadLE results just dropped
Is radiology about to change forever? Yesterday Gemini 3.0 took over the internet with record-breaking benchmarks and everyone immediately asked the same thing: “But can it handle real medical visual reasoning?”
So it was tested it on the toughest one: RadLE v1.
Here’s what happened:
Gemini 3.0 Pro on RadLE v1
• 51% accuracy — the first time a general-purpose model has outperformed radiology residents
• Radiology residents: 45%
• Board-certified radiologists: 83%
• Consistently shows structured, step-by-step reasoning across challenging cases (appendix localization, eliminating mimics, and more)
For the first time ever, a generalist AI model has officially crossed the trainee bar on RadLE v1.
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Mustafa Suleyman had his mind blown by the community's negative reaction to Microsoft's "agentic OS" comments.
Microsoft’s AI chief Mustafa Suleyman said he’s baffled that people are “unimpressed” by modern AI, especially after criticism of Microsoft’s plans for an “agentic OS.”
Many users pushed back, arguing the issue isn’t AI itself but Microsoft’s habit of pushing AI everywhere instead of fixing long-standing problems with Windows’ usability, security, and privacy.
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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
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⚠️ 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.
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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.
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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"
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