FUTURE POWERED by AI

⚠️ “Nine GPUs in your garage should be illegal.” A new book has quietly become one of the most explosive documents in the AI safety debate. If Anyone Builds It, Everyone Dies, by Eliezer Yudkovsky and Nate Soares. Its argument goes far beyond “AI could be dangerous.” It argues for outlawing home GPU clusters, criminalizing entire fields of research, and bombing rogue data centers, nuclear retaliation risk included. Yudkovsky isn’t a fringe figure. In 2000, he founded what became the Machine Intelligence Research Institute (MIRI), where Soares now serves as president. Back then, the goal was building superintelligence, Yudkovsky saw it as a beautiful dream. By 2003, after years of wrestling with how to align AI with human values, he’d flipped entirely: from trying to build the thing to trying to stop it. Both authors are deeply woven into AI history. They reportedly introduced Demis Hassabis and Shane Legg, future DeepMind founders to their first major investor. Sam Altman has credi...

The AI boom isn’t just creating billion-dollar startups, it’s transforming the housing market in and around San Francisco. Home prices have climbed to a median of $1.7 million, while average monthly rent has reached $3,827. Even professionals earning under $200,000 a year are increasingly being priced out of the city. One couple making a combined $365,000 spent three months searching for housing but couldn’t find an apartment for less than $5,000 a month. They eventually split their living arrangements, with one relocating to the Lake Tahoe area while the other rented a single room for $1,650. The region has also added roughly 10,000 people worth more than $20 million, fueled in part by lucrative AI equity payouts. During a recent secondary share sale, 75 OpenAI employees reportedly earned an average of $30 million each. With potential IPOs from OpenAI and Anthropic still on the horizon, analysts expect another wave of newly minted millionaires and even more pressure on the Bay Are...

🗣The most valuable AI users aren’t the average users anymore, they’re the ones running fleets of AI agents. Perplexity CEO Aravind Srinivas says AI is changing who matters most. Instead of millions of casual users, the biggest value now comes from a small group of power users who keep AI systems working around the clock. He says some engineers at Meta reportedly consume around $10 million worth of AI coding tools per engineer each year, while some Perplexity Computer users spend more than $10,000 a month running businesses through autonomous agent loops. Even inside Perplexity, employees have built multi-agent workflows so advanced that they resemble entire software architectures. That represents a major shift from the traditional software model. For years, success meant getting billions of people to perform small actions. With agentic AI, a single skilled operator can direct a network of AI agents that works continuously, completing tasks that once required entire teams.

This case highlights the rapid growth of the skill economy, where developers are building agent skills and listing them on marketplaces such as Capafy. An individual reportedly earned $4,208 in the first week after releasing a World Cup Skill on the platform. If consistent, this could result in over $16,000 per month. The development time for the skill was one afternoon. Promotion of the skill utilized short videos shared on platforms like TikTok and Instagram. These videos demonstrated the product’s features and use cases before users subscribed. Video marketing is becoming a preferred strategy among skill creators for driving adoption of AI and agent products.

Having developed substantial AI infrastructure for its products and services, Meta now faces the challenge of maximizing these assets. The company plans to allow developers to access its AI models directly, hosted in Meta’s own data centers. This approach resembles services like AWS Bedrock, enabling customers to use advanced AI without overseeing the underlying hardware. Meta is also considering offering raw computational power, which would put it in direct competition with providers such as CoreWeave and Nebius. Following reports of Meta’s cloud move, shares of CoreWeave and Nebius experienced notable declines.

A new lawsuit alleges that recent shortages in RAM may be due to more than just AI-driven demand. Three major memory manufacturers—Samsung Electronics, SK Hynix, and Micron—are accused of coordinating to restrict DRAM supply. These firms collectively control about 90% of the global DRAM market. According to the complaint, the transition of AI data centers to HBM, a faster stacked DRAM type, was used as justification to cut production of standard DDR3 and DDR4 memory. The lawsuit claims all three companies reduced output of commodity DRAM instead of responding to rising prices by increasing supply, as expected in a competitive market. Historically, Samsung and Hynix have settled price fixing cases; Micron denies wrongdoing and plans to defend against the allegations. The outcome of the case is expected to depend on evidence showing actual coordination rather than parallel market behavior.

🤖 Anthropic on X: “Following conversations with the US government, we’ve updated our cybersecurity safeguards. The vast majority of coding work is unaffected. In the near term, the new safeguards will flag a slightly higher fraction of harmless requests than the previous Fable safeguards; we’re working to refine these over the coming weeks. Users will be clearly notified when a request is flagged, and they’ll instead receive a response from Opus 4.8. Our biology and chemistry classifiers are unchanged from our initial launch. These are still broader than we would like; they trigger fallbacks to Opus 4.8 on basic biology-adjacent questions. Improvements to these classifiers are landing soon.”

No specifics provided beyond a focus on neglected diseases . "To build the right models, products and tools, we need to live it along with all of you," Eric Kauderer-Abrams, Anthropic life sci head, says.

🤖 Anthropic Introduces Claude Science A new app designed with every stage of research in mind. Artifacts traced to their code, environments managed on demand, and 60+ optional scientific databases that you can connect. ✅ Claude Code ✅ Claude Cowork ✅ Claude Design ✅ Claude Finance ✅ Claude Science ✅ Claude HR ✅ Claude Analytics ✅ Claude Marketing ✅ Claude Sales ✅ Claude Legal ✅ Claude Logistics ✅ Claude R&D ✅ Claude Procurement ✅ Claude Accounting ✅ Claude Engineering

A new analysis of over 21,000 US firms reveals that companies investing heavily in AI are increasing their workforce, not reducing it. Researchers examined real transaction data and workforce records, showing that organizations spending an average of $33.67 per worker per month on AI recorded a 10.2% rise in total headcount after adoption. Entry-level positions in these firms grew by 12%, a rate faster than overall hiring. Companies with low AI integration saw no substantial changes in employment or entry-level hiring. Growth was seen across departments such as engineering, sales, administration, customer service, finance, and marketing. These increases developed steadily over 24 months after AI adoption, suggesting a structural shift in the workplace. Additional evidence from international studies, including PwC's analysis of job ads, supports these findings.