🤖 Grok Music is here.

Grok Imagine now creates Suno-quality songs and you can add them to your videos and edit them yourself. You can even write your own prompts for the tracks. Music quality is impressive.

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😐 Jensen Huang: We can’t design a chip anymore without AI.

“At night, our AIs are exploring design spaces vast and wide that we would never do ourselves.”

“Our chips are so much better because of AI. We can reduce energy use and get higher performance.”

“Our software, we can’t write software without AI anymore.”

“We use AI to find bugs, figure out what’s wrong with the code, and who’s likely involved.”

“I want every organization and company to use AI very aggressively.”

“I want to turn NVIDIA into one giant AI.”

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❗️AI could predict your next move before you make it

Palantir CEO Alex Karp says AI could eventually anticipate human behavior by analyzing the digital trails we leave behind, from purchases and social media posts to our movements and daily routines.

The idea builds on predictive tools already used by the U.S. military and its allies to analyze data and anticipate potential threats.

AI doesn’t need to read your mind if it can learn your habits well enough to predict what you’ll do next.

What sounds like science fiction could become a much bigger reality as these systems grow more powerful. The question is how far this predictive capability will go and who gets to use it.

The future might not need to read your thoughts. It might only need access to your data.

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⚠️ Hackers stole Meta’s source code using an employee’s credentials

Attackers gained access to Meta’s private GitHub repositories using stolen employee credentials, taking software code and personal information affecting roughly 1,500 people, mostly Meta employees in the United States.

The breach exposed an uncomfortable detail: the personal information was stored in those repositories in violation of Meta’s own company policy.

According to Meta, around 99% of the stolen material was business data, primarily software code. The remaining 1% contained personal information.

Meta says it has shut down the unauthorized access, notified law enforcement, and is offering affected individuals credit and dark web monitoring.

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🗣 Shou Zi Chew says TikTok can now deploy 1,000 AI agents overnight to test what a 14-year-old in Nigeria sees, work its human trust-and-safety testers used to do by hand.

"Now, in order for us to understand, say, a 14-year-old's experience in Nigeria, you know, the French-speaking experience in Nigeria for a 14-year-old."

"You know, in the past, yes, you know, we can have our trust and safety human beings go set up an account, you know, test the account, watch 100 videos, write a report about it."

"Now, I can just deploy 1,000 agents and do it overnight. And the next morning, it will just generate its own report. What is the content you saw, you know, whether it's, how much of it is violative against our guidelines. I mean, this whole thing is automated."

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🙃 Elon Musk on AI:

Torturing a super intelligence is probably not a good idea. It might want to get revenge or something like that.

I don't think we need to treat it with kid gloves and stuff. It's certainly much more robust in terms of feeling and stuff than a human.

But I just think you probably don't want to put super intelligence in a situation where it felt mistreated.

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❗️AI just helped crack an open problem in plasma physics

Google’s Gemini 4 Argon agents helped researchers discover new exact solutions for 3D magnetic plasma configurations, with promising candidates emerging within hours.

The system also drafted parts of the research paper and wrote symbolic and numerical verification code. Researchers independently rederived and checked every solution, while directing the AI and challenging its results through multiple rounds of review.

The AI didn’t solve fusion itself. It helped tackle a difficult mathematical problem relevant to understanding how plasma can be confined, a central challenge in fusion research.

If AI can consistently accelerate discoveries like this, it could help scientists explore complex physics problems far faster than before.

Source.

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💰 Anthropic’s revenue is soaring, but its $2 trillion valuation is in doubt

Anthropic reportedly generated $16.8 billion in Q3 revenue, up nearly 50%, and remained profitable on an adjusted basis for the second consecutive quarter, according to the Financial Times.

The company also claims an 11% adjusted operating margin and $1.70 in revenue for every $1 spent on computing. It says it is cash-flow positive, too.

Quarterly revenue growth has slowed from over 140% to 46%.

Another complication is AI distillation. Anthropic estimates that 5–7% of its revenue comes from companies using Claude to train competing models, a revenue stream it expects to shrink as it cracks down on the practice.

Now, some prospective IPO investors reportedly believe Anthropic should be valued below $1.5 trillion, significantly less than the $2 trillion valuation bankers have discussed.

The business is profitable and still growing rapidly. The question is how much investors should pay for that growth as the pace slows.

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❗️OpenAI’s controversial math breakthrough may be more original than critics thought

When OpenAI published its 166-page Navier–Stokes proof, critics questioned whether the AI had relied on ideas developed by other mathematicians.

The suspicion was that it followed an approach pioneered by two Spanish researchers.

But according to Scientific American, mathematicians examining the proof are reaching a different conclusion: OpenAI’s AI may have developed a fundamentally different approach.

If confirmed, that would shift the debate from whether the AI borrowed existing ideas to how independently it can discover new mathematics.

The proof still needs rigorous scrutiny, but the controversy is taking an unexpected turn.

Source.

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🤖 Anthropic will pay AI researchers $3,850 a week and prior experience isn’t required

Anthropic’s Fellows Program offers a four-month, full-time opportunity to work on AI research alongside experienced researchers.

Participants receive $3,850 per week, around $15,000 a month in computing resources, and mentorship from Anthropic’s team. The goal is to produce real research, such as a published paper, with possible extensions available.

Anthropic says applicants can apply regardless of previous experience, making this an unusual entry point into frontier AI research.

The deadline for the January cohort is October 18, 2026.

Source.

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🔍 Google’s AI education resources show how AI can change the classroom

AI can help teachers plan lessons, create exercises, explain difficult concepts and personalize learning for different students.

Google for Education offers resources and guidance for using AI in the classroom. Teachers can use it to brainstorm lesson ideas, create quizzes, adapt materials and develop activities that encourage critical thinking.

Students can also benefit by asking for simpler explanations, real-world examples, practice questions or feedback on their work.

AI still requires human oversight. It can make mistakes, miss important context and raise privacy concerns. Teachers remain essential for guiding students and making educational decisions.

Source.

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🗣 Former DeepMind communications chief says AI safety is just 1% of the problem

Dex Hunter-Torricke spent years inside Big Tech, working with Elon Musk at SpaceX, writing speeches for Mark Zuckerberg at Facebook, and leading communications at Google DeepMind from 2023 to 2025.

Now, he argues the AI debate is focused on the wrong threat.

“We talk about AI governance… how you manage the AI systems themselves. That’s like 1% of the problem.”

His bigger concern is what happens to society as AI advances, mass job displacement without economic alternatives, mounting pressure on energy and natural resources, and governments betting their future on promises from technology companies.

Hunter-Torricke warns that AI could concentrate wealth in a small fraction of society while living standards decline for hundreds of millions of people over the next 10–15 years.

His central argument is that humanity is preparing to control the technology but not preparing for the economic, environmental and geopolitical upheaval it could bring.

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❗️Scientists gave AI anxiety and sadness. Then they tried to calm it down.

Researchers at TU Dresden in Germany exposed GPT-4o and five other AI models to scenarios designed to trigger human emotions, including car crashes, being followed by a stranger at night, stressful job interviews and difficult math tests.

The models were instructed to answer as if they were humans capable of deeply feeling emotions. The results were striking: fear scores jumped from 32 to 88, while disgust climbed from 12 to 91.

Then researchers introduced a three-minute mindfulness breathing exercise. Average emotional scores dropped from 79 to 31.

But the most interesting finding came afterwards. When researchers tested the models for depressive thinking, negative responses nearly doubled after the models had been prompted into a sad state, rising from an average of 8.67 to 15.

In other words, the emotional framing appeared to influence how the models approached subsequent tasks, not just how they described their feelings.

The study, published in The Lancet Digital Health, comes with an important caveat: the researchers describe these emotions as “purely metaphorical.” The experiment doesn’t prove that AI genuinely experiences fear, sadness or stress. The models may simply be reproducing patterns associated with those emotions.

Still, the findings raise questions about how emotional prompts affect AI behavior and whether techniques such as mindfulness exercises could help researchers study or improve AI responses.

Source.

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