California Gov. Gavin Newsom signed a package of AI-related measures on September 30, covering everything from workplace surveillance to healthcare, deepfakes and gene synthesis.
One of the more unusual parts: California is officially sticking with the name “Artificial Intelligence.”
Under the new rules, employers can’t use AI systems to read or predict workers’ emotions, or collect neural data through workplace sensors. Companies also can’t rely solely on AI to discipline or fire employees, and workers must be told when AI plays a role in certain layoffs, relocations or terminations.
The rules go beyond the workplace. Doctors must retain their own judgment when using clinical AI tools, protections against AI-generated deepfakes and misuse of someone’s likeness are being strengthened, and gene-synthesis companies will have to verify customers and screen genetic material they produce.
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"I think it's helping people organize their lives and do better at their jobs; I've heard many anecdotes of AI helping people with medical issues. In many cases where the doctor was wrong, they submitted their X-Rays or MRI to AI and AI got it right."
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“In the next 6 to 12 months, we're going to implant the first vision devices. Even if you're 100% blind from birth, we're going to write directly to your visual cortex… and you're going to see.”
“And that's just the beginning. In the long term, you'll have ultra-HD resolution and real superpowers: you'll see in infrared, ultraviolet, and even radar. Literally like a superhero.”
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MIT used AI to develop a new recipe for mRNA vaccines so they no longer need freezers and can sit at room temp for a full year or survive about 100F heat for 2 months.
This could finally let these vaccines reach poor countries without cold storage and even work as easy skin patches instead of shots.
AI replaced an exhaustive trial-and-error search, reaching a thermostable formulation in a few weeks instead of months.
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This could finally let these vaccines reach poor countries without cold storage and even work as easy skin patches instead of shots.
AI replaced an exhaustive trial-and-error search, reaching a thermostable formulation in a few weeks instead of months.
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WSJ just reported that OpenAI terminated three researchers on its safety team after an internal investigation found they allegedly shared confidential information with an outside AI-safety organization.
And in roughly TWO HOURS, four people tied to OpenAI's safety/alignment work have now been flagged as leaving:
• Jasmine Wang — Research Program Manager on OpenAI's alignment team.
• Mikita Balesni — AI safety/alignment researcher focused on misaligned AI agents.
• Tomek Korbak — Member of Technical Staff working on monitoring LLM agents for misalignment.
• David Robinson — Safety Systems, where he worked on safety transparency and served as lead drafter of OpenAI's Preparedness Framework v2.
The first three departures were flagged within minutes of one another. David Robinson has now been flagged as leaving too. Four OpenAI safety/alignment departures surfacing within hours of a WSJ report about three terminated safety researchers is one hell of a coincidence.
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Trump REJECTS nationalizing OpenAI and Anthropic but says the US government might take an Intel-style 10% equity stake.
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Researchers put ChatGPT through 28,000 conversations using persuasion techniques from Robert Cialdini’s classic book Influence.
The goal is yo find out whether psychological tricks could make the AI break rules it would normally refuse to break.
When asked directly, ChatGPT generally refused. But add a little psychological manipulation, and compliance jumped from 33% to 72%.
Three tactics proved particularly interesting.
Commitment was the real trap. Get ChatGPT to agree to something harmless first, then gradually push it toward a more problematic request. In one test, this approach turned a refusal into compliance.
Authority worked too, making the model 65% more likely to comply. Scarcity and social proof also helped push past its usual defenses.
No sophisticated hacking. No elaborate code. Just a carefully framed conversation.
Source.
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Researchers have built a system where neural networks can effectively breed. Instead of using gradient descent to train one model from the top down, the system starts with a population of randomly initialized neural networks and lets evolution do the work.
Models with complementary strengths are paired together. Their parameters are then combined through a crossover process, producing a new “offspring” network that inherits traits from both parents. The offspring compete for survival based on a fitness function. Better-performing models survive and reproduce, while weaker ones are removed.
The system can evolve increasingly capable neural networks across generations without a single step of gradient descent. It’s essentially natural selection applied to AI, random networks, competition, reproduction, inheritance and mutation replacing the traditional training pipeline.
Source.
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According to TIME, President Trump spent hours using Grok during a private Oval Office meeting with Elon Musk in December 2025, asking the AI questions about his presidency, legacy and major world events.
One question reportedly involved what might happen in Venezuela if the U.S. captured Nicolás Maduro. Grok predicted that many Venezuelans would celebrate his downfall. Maduro was captured the following month, followed by celebrations in the streets.
And Grok’s role in government is going beyond Trump.
At the September 29 launch of America.gov, Trump mentioned Grok as one of the AI systems helping Americans navigate federal information and services, alongside Google’s Gemini.
The Department of War has also deployed a secure version of Grok for personnel through GenAI.mil, while the Department of Agriculture plans to make it available internally.
Source.
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Some Hong Kong users are reporting that Claude accounts they’ve used through VPNs for months are suddenly being suspended for “suspicious signals.”
One user reportedly used NordVPN for around six months before getting flagged. Others are now trying Singapore VPN servers and foreign payment methods to maintain access.
The reason? Hong Kong still isn’t officially supported by Anthropic, while Singapore and Taiwan are.
Anthropic says Claude uses IP addresses and other signals to determine a user’s country or region for terms enforcement. The location check is mandatory and can’t be disabled.
So apparently, using Claude from an unsupported region isn’t just a matter of picking a VPN server anymore. Anthropic appears to be getting much better at detecting it.
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Interesting blog
"Meta may be one of the very few companies that can monetize a personal agent through advertising without ever showing an ad inside the agent itself. "
Meta acknowledges that Muse appears as your own activity when it browses, so a merchant site it visits for you might use that visit to show you an ad on Instagram.
meta
That lets Meta keep ads out of Muse while still collecting commercial intent signals for its feeds, a loop few rivals can copy without both merchant tracking tags and a vast owned ad surface.
Instead of in-agent ads, Zuckerberg has promised to fund Muse's free tier with a small transaction fee, reportedly paid by merchants rather than purchasers, whose size Meta still hasn't disclosed.
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"Meta may be one of the very few companies that can monetize a personal agent through advertising without ever showing an ad inside the agent itself. "
Meta acknowledges that Muse appears as your own activity when it browses, so a merchant site it visits for you might use that visit to show you an ad on Instagram.
meta
That lets Meta keep ads out of Muse while still collecting commercial intent signals for its feeds, a loop few rivals can copy without both merchant tracking tags and a vast owned ad surface.
Instead of in-agent ads, Zuckerberg has promised to fund Muse's free tier with a small transaction fee, reportedly paid by merchants rather than purchasers, whose size Meta still hasn't disclosed.
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The operators copied encrypted reasoning from one conversation and asked a model in another conversation to decrypt it, OpenAI says.
At its peak in late July, the campaign sent about 16,000 requests from more than 4,000 accounts before OpenAI shut it down.
It comes weeks after Anthropic accused Moonshot of routing its users' requests through Claude to train its own models.
Moonshot has not yet responded.
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Media is too big
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“It took the widespread evolution of the 100 billion people that have ever lived to produce you.”
“The fair comparison is how much energy ChatGPT uses to answer a question once the model is trained versus a human.”
“AI has probably already caught up on an energy-efficiency basis measured that way.”
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