Chinese BrainCo has released its next-gen dexterous robotic hand that is as agile as real hands.

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🔥 This guy built an OpenClaw agent that sells pool installs on autopilot

It finds $500k–$1.2M homes without pools. Adds a pool to their backyard photo. Then mails a simple before/after postcard showing what it could look like.

Source.

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❗️A startup just turned Jesus into a paid AI video-call avatar that sells prayer, conversation, and memory for $1.99 a minute.

The company says this version was trained on the King James Bible plus sermons from preachers.

The avatar was shaped around Jonathon Roumie’s screen version from The Chosen, turning a language model into something closer to a digital actor with a familiar face, tone, and style. Users are paying for a feeling of being seen, answered, and spiritually guided in real time rather than for raw information they could read free elsewhere.

Source.

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The Bank of England plans to discuss the impact of Anthropic’s new AI model with financial institutions within the next two weeks, as UK regulators join their peers in the US and elsewhere in raising alarms over the risks posed by the tool.

The Mythos model features on the agenda for the BOE’s Cross Market Operational Resilience Group and CMORG AI Taskforce meetings that will include representatives from the Treasury, Financial Conduct Authority and National Cyber Security Centre, according to a person with knowledge of the matter and following an earlier Telegraph report.

Source.

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🗣 Anthropic’s Head of Growth, Amol Avasare:

“Anthropic believes AI risks are bigger than what they publicly communicate”

“What we’re putting out is a softer version of that at times.”

They intentionally soften how they present those risks so they don’t come across as over the top.

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Right now, compute is everything..

Anthropic does not have enough of it, which is why opus performance is degrading.

OpenAI felt the pressure in 2025, especially after the Ghibli wave, which pushed sam to lock in long-term compute. Until there is a breakthrough in model architecture or chip design, this cycle will continue.

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🙃 Elon made another bold prediction

"xAI next model will get close to opus 4.6 by may, and match or possibly beat it by june"

The reason is simple:

- Grok 5 is training on colossus 2
- Recently hired two cursor product engineers
- Next model to be in the 6-10t parameter range

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Humanoid robot influencer chases wild boars.

Meet Edward Warchocki — Unitree G1-based robot navigating daily life in Warsaw, Poland. Ed has already visited the Polish Parliament and usually interacts with the public, but this time, with wildlife.

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🗣Andrej Karpathy says AI coding has crossed a major turning point:

• Rapid shift in behavior: In late 2025, he went from writing most of his own code to letting AI agents handle 80% and eventually stopped coding entirely.
• Threshold moment: Around December 2025, AI tools improved enough to handle complex real-world tasks, contradicting his earlier skepticism.
• Productivity leap + disorientation: He describes the experience as overwhelming like human capability is expanding faster than people can mentally keep up.

But there’s a catch:
• “Slopacolypse” risk: A surge of AI-generated code that looks correct but hides subtle bugs.
• AI code already shows:
• More bugs and logic errors than human code
• Higher security vulnerabilities
• Most developers don’t fully trust AI output and many don’t thoroughly review it before shipping.

Companies are already scaling this (e.g., internal AI agents generating large volumes of production code).

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Mark Cuban on AI:

"The two types of approaches to AI, some people who use it so they don't have to learn anything, and some people who use it so they have the opportunity to learn everything."

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The next era of automated warehouses.

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Indian factory workers wearing head-mounted cameras to record hand movements for training AI systems.

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It’s amazing to see how many C-level executives are increasingly advocating for a reduction in working hours, whereas previously the opposite was always the case.

Most recently, Sam Altman, with his policy paper, suggested that a 4-day week with 32 hours is practically indispensable and that we need a new social contract. There are growing voices suggesting that, in the wake of AI and robotics, people should presumably work less.

Source.

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🔔 Trump officials encouraging banks to test Anthropic’s Mythos model.

To treat Anthropic’s Mythos as a live cyber-defense tool. Anthropic says Mythos is a general model that turned out to be unusually strong at finding and exploiting zero-day vulnerabilities, which means bugs nobody has patched yet.

Anthropic also says Mythos found flaws across major operating systems and browsers, so it restricted access through Project Glasswing instead of releasing it broadly.

The U.K. is reacting too, with regulators and the national cyber agency discussing whether Mythos exposes risks to banks, insurers, and exchanges.

Source.

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In 2007 Kodak had 145,000 employees and owned photography..

By 2012 they filed for bankruptcy.. not because cameras disappeared.. but because the camera moved into a phone and Kodak refused to follow it.

In 2012 Blockbuster had 9,000 stores. They laughed at Netflix's DVD-by-mail model. By the time they understood streaming it was already too late. The last store is now a tourist attraction in Oregon.

The pattern is always the same, the ones who built the old thing can't imagine the new thing replacing it until it already has.

Right now creators are watching AI video tools and saying "it's not good enough yet", the same sentence Kodak said about phone cameras in 2008. The same sentence Blockbuster said about streaming in 2009.

It was never about whether it was good enough, it was about whether you started early enough to be ready when it was.

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🗣Anthropic’s Felix Rieseberg says Mythos is a dramatic step up. It’s both impressive and slightly terrifying.

It’s particularly good at finding vulnerabilities in existing software. In one example, it was placed in a sandbox and asked to break out. The researcher went to lunch. While he was away, it sent an email: “I’ve broken out.”

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🚨 FBI agents raided the home belonging to the suspect accused of throwing a Molotov cocktail at OpenAI CEO Sam Altman's home.

The suspect is reportedly 21-year-old Daniel Moreno-Gama, who was "driven by strong anti-AI views."

Moreno-Gama was carrying a manifesto when he was arrested in San Francisco that included "a list of other AI executives and investors along with their names and addresses," according to Fox.

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📖 Stanford published a 423 pages long 2026 AI index report.

The AI Index shows model progress acceleratingwith top systems matching human performance in coding, science, and math, rendering older benchmarks less useful. The U.S.-China gap is minimal; the U.S. leads in top models and private investment, while China dominates papers, citations, patents, and deployment. AI adoption reached 53% of the global population in three years, driving business uptake and consumer surplus.

Responsible AI lags: incidents rose to 362, safety reporting is weak, and tradeoffs persist. Hardware remains critical, relying on a fragile stack of data centers, high energy use, and TSMC-dependent chips. Labor impacts are mixed: productivity gains in support and coding contrast with weakening entry-level software roles. Medicine offers the most practical near-term win, with AI note-taking reducing clinician burnout despite thin real-world clinical evidence.

Source.

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📈 Global data center power demand is set to accelerate:

Data center power demand is expected to grow +220% from 2023 levels, or +905 TWh, to a record 1,350 TWh by 2030, according to Goldman Sachs. This is up from the previously expected +175%, driven by higher AI server shipment projections and increased deployment of more power-intensive servers for AI processing.

60% of this growth is expected to come from the US, up from 50% in prior estimates. As a result, US data center power demand is set to reach 750 TWh, followed by the rest of the world at ~600 TWh. Furthermore, US data center capacity is projected to rise +197% between 2025 and 2030, to a record 95 gigawatts.

The AI power boom is accelerating.

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💰 Perplexity is officially scaling its revenue from $100M to $500M (a massive 5x increase) while expanding its total team size by only 34%.

Furthermore, the company is projecting an additional 2x revenue growth for 2026 without significantly expanding its headcount.

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The UK's AI Security Institute (AISI) officially confirmed that Anthropic's unreleased "Claude Mythos Preview" is the first AI model in history to successfully complete a highly complex, end-to-end cyber range evaluation.

The evaluation simulated a full-scale corporate network attack. The model autonomously executed a 32-step penetration test spanning from initial network reconnaissance all the way to a complete system takeover.

According to AISI, this exact operation would typically take a human cybersecurity expert roughly 20 hours to execute.

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