President Trump releases a statement condemning the growing backlash against data centers in the US.

"If we kill the Golden Goose, you will only have yourselves to blame," Trump says.

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Remote job interviews face new challenges as AI-driven cheating, deepfakes, and use of stand-in interviewers undermine traditional identity verification practices.

In response, employers have introduced new measures. Candidates are now required to perform specific actions—such as moving their hands across their faces—to demonstrate their presence and identity on video calls.

These steps aim to address the increased difficulty in confirming candidate authenticity during remote recruitment processes. This trend reflects growing concerns among employers about verifying applicants in virtual environments.

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ChatGPT Ads achieved a $1 billion annualized revenue run rate in less than 200 days, following an initial $100 million milestone reached six weeks after launch.

OpenAI has set a 2026 ad revenue forecast at $2.4 billion, facing pressure due to slower early-month performance compared to the current growth rate.

Future projections indicate a target of nearly $11 billion in ad revenue for 2027 and $102 billion by 2030. This forecast assumes ad revenue per user will climb from about $3.50 in 2024 to around $60 by 2030.

OpenAI reports tens of thousands of advertisers use ChatGPT Ads in more than 40 countries. Self-service access is expanding further, including India, Europe, the Middle East, and North Africa.

ChatGPT’s weekly active users now exceed one billion. Advertising remains limited to the Free and Go tiers.

Advertisers are unable to access private conversations, and paid ads do not influence responses.

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OpenAI has reportedly bought tens of thousands of Mac minis and Mac Studios for reinforcement learning and computer-use agents while Anthropic is renting Macs through Amazon AWS.

Apple hardware is becoming a lot more relevant to AI workloads than we thought entering this year as memory capacity starts to matter more relative to raw GPU performance.

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🗣Elon Musk: “America is 1,000% going to go bankrupt and fail as a country without AI and robotics”

The U.S. is already paying over $1 trillion a year just in interest on the national debt. The only real escape is enormous productivity growth

AI → intelligence at near-zero marginal cost
Robots → physical labor at massive scale

Together they can dramatically increase economic output, lower the cost of goods and services and expand the tax base

The race is basically: Can we build AI + robotics fast enough to unlock abundance before the debt becomes impossible to outrun?

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How ChatGPT will look like under full EU control.

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🤖 Anthropic just dropped Claude Fable 5.1 and Mythos 5.1

Anthropic says its newest models are its most advanced yet for coding, research, and knowledge work and Fable 5.1 looks like a serious upgrade.

Fable 5.1 scores 55.8% on Terminal-Bench 4.0, compared with 42.0% for Fable 5. On Terminal-Bench-Science, it hits 52.6%, more than double its predecessor.

It’s not just smarter. It can deliver similar or better results at lower effort levels, while cache reads cost 75% less. Anthropic says this can cut real-world costs by around 25%, and up to 45% for highly agentic workloads.

Anthropic is also rolling out stronger enterprise privacy with Enterprise Frontier Safeguards, while claiming its cybersecurity safeguards now flag benign requests about 60% less often.

And Fable 5.1 isn’t limited to coding. Its research capabilities are being positioned as an early look at how AI could eventually contribute to scientific discovery.

Fable 5.1 is available now. Mythos 5.1, built for cyberdefenders and life scientists, is available through trusted-access programs.

Source.

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Being out this weekend

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🍫 Snickers just made a candy bar for ChatGPT

ChatGPT gives you a terrible answer? Don’t argue with it. Feed it a Snickers. 😂

Snickers has launched “Hungr.AI,” a digital candy bar that users can give to an AI assistant when it starts hallucinating, acting strangely, or agreeing with everything you say.

It’s not just an image, the digital Snickers contains instructions that tell the AI to reconsider its previous response and try answering the question again after taking a metaphorical “byte” of the candy bar.

It’s basically Snickers’ “You’re Not You When You’re Hungry” campaign… except now the hungry one is ChatGPT.

And honestly, AI probably needs a Snickers sometimes.

Source.

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Dyson just released a new AI-powered toothbrush with an integrated 100,000-pixel macro lens camera for $499.

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🇺🇸 Trump: Reject AI data centers and risk becoming “backwards and poor”

Trump says communities that reject data centers are essentially choosing to fall behind, arguing that these facilities can bring jobs, investment and lower taxes.

Trump also warned that resistance to data center construction could benefit China, saying the country “could not be happier” about the growing backlash.

Communities across the U.S. are increasingly pushing back because massive AI data centers can consume huge amounts of electricity and water, while residents worry about higher utility bills, noise and the local environmental impact. More than 70% of Americans surveyed say they don’t want a data center near their home.

Source.

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Me with $20 plan 🥲

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Size matters…

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Gemini 3.8 Flash has been released, offering notable improvements in several key benchmarks.

On the HLE-Verified test, Gemini 3.8 Flash achieved a score of 54.9%, slightly ahead of Claude Opus 5, which scored 54.4%. In the Terminal-Bench 2.1 evaluation—focused on task completion within coding, security, machine learning, data science, and systems—Gemini 3.8 Flash reached an 89.4% completion rate.

In Harvey's Legal Agent Benchmark, Gemini 3.8 Flash recorded a 10.0% score, compared to Opus 5's 6.7%. This benchmark employs a strict all-pass rule, granting credit only when every legal criterion is met, including factual accuracy, structure, and analysis within complex legal workflows.

Google has maintained the token price. However, Gemini 3.8 Flash may use more tokens on challenging tasks, potentially increasing total costs.

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