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SAFETY

  • Anthropic’s $30B Run Rate: Mythos, OpenClaw, and Market Dominance

    🚨BIG EPISODE BESTIES! Sacks is back, Fifth Bestie Brad Gerstner fills in for @Friedberg — Anthropic withholds Mythos: serious concern or another marketing stunt? — OpenClaw vs everybody: Are frontier model makers trying to kill the open source agent platform? — Anthropic's $30B run rate: fastest ever, do they already have market dominance in AI code? — The AI vibe shift: OpenAI reels as Anthropic rips — Iran War: ceasefire and Israel's influence on US foreign policy (0:00) Bestie intros: Brad Gerstner joins the show! (4:22) Anthropic blocks Mythos release for security concerns: serious or marketing stunt? (24:07) Are OpenAI and Anthropic trying to kill OpenClaw? Does Anthropic already have market dominance in AI coding? (42:20) Anthropic $30B run rate, fastest revenue ramp ever, the TAM for intelligence (58:01) Major vibe shift: Anthropic ripping, OpenAI reeling (1:10:12) Iran War: Ceasefire, Israel's influence, market impact

    → View original post on X — @ceobillionaire, 2026-04-10 22:43 UTC

  • AI Regulation: Finding Middle Ground Between Dismissal and Unchecked Freedom

    To a degree that may surprise some people, I agree with much of this* from @deanwball and would only add that you don’t have to believe that AGI is remotely close to want to find—ASAP—a regulatory regime that foster innovation but also protects effectively against downside risks like massive cybercrime, Gen-AI influenced delusions, mass disinformation from foreign actors, nonconsensual deepfake porn, etc. We should not dismiss AI; we should not let it run entirely free. We need some middle ground. *I think that current frontiers models are highly capable in some ways but not others, and think in some important ways capability growth bulls have been important wrong (e.g. about how readily hallucinations could be remedied) but I don’t think that changes the need to act now. Dean W. Ball (@deanwball) “Describing highly capable frontier AI models as highly capable” is not “fear mongering.” “Taking AI seriously” is not “fear-mongering.” “Acknowledging obvious, realized or soon-to-be-realized risks” is not “fear-mongering.” The stark reality is that those who have taken AI capabilities growth seriously have been basically right about most important things in the last three years; those that haven’t have been consistently confused and, what’s worse, frustrated at the world about their own confusion. You don’t have to be a mega-pessimist or a “doomer” to take AI seriously. You don’t have to advocate for stark top-down controls over AI. You don’t have to support regulatory capture. It is possible to take AI seriously and advocate for a governmental response that is both effective *and* measured. To the young researchers out there, still trying to make their intellectual fortunes: Do not let anyone tell you otherwise. Do not let anyone bully you into believing otherwise. Think for yourself. — https://nitter.net/deanwball/status/2042685538415841742#m

    → View original post on X — @garymarcus, 2026-04-10 21:46 UTC

  • Dutch regulators approve Tesla FSD Supervised in Netherlands
    Dutch regulators approve Tesla FSD Supervised in Netherlands

    NEWS: Dutch regulators (RDW), which just approved @Tesla FSD (Supervised) in the Netherlands, have just issued an official statement: "Due to the continuous strict monitoring of the driver in the vehicle, the system is safer than other driver assistance systems. We have thoroughly researched and checked this system, more than a year and a half. The RDW has issued a type approval for Tesla's driver's assistance system, FSD Supervised. This driver's assistance system has been extensively researched and tested on our test track and on public roads for more than a half years. Safety is paramount for the RDW. The proper use of this driver's system makes a positive contribution to road safety." This approval from the RDW clears the path for approval in other European countries. Tesla owners in the Netherlands will be receiving FSD (Supervised) on their cars shortly. Amazing day!

    → View original post on X — @scobleizer, 2026-04-10 21:21 UTC

  • AI Security Problems Outweighed by Net Positive Utility

    AI will create far more security problems than it fixes, but that won't remotely make its net utility negative.

    → View original post on X — @pmddomingos

  • AI-Powered Malware: Emerging Threat in Cybersecurity

    AI-powered malware is here
    #AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn

    → View original post on X — @terence_mills

  • LLMs Fail at Poker, Nowhere Near AGI
    LLMs Fail at Poker, Nowhere Near AGI

    Yet another illustration of why LLMs aren’t even close to being AGI. Tombos21 (@tombos21) The world’s best LLMs are still terrible at poker. We put each model into a 200bb heads-up NLHE match against GTO Wizard AI. The best one lost 16 bb/100. For context, a strong human pro only loses about ~4 bb/100. The benchmark is public, so anyone can test their own model. — https://nitter.net/tombos21/status/2042290717499015253#m

    → View original post on X — @garymarcus, 2026-04-10 20:29 UTC

  • Mythos: Anthropic’s New AI Concerns Authorities

    bloomberg.com/news/articles/… [Translated from EN to English]

    → View original post on X — @kimmonismus, 2026-04-10 20:12 UTC

  • US Officials Warn of Cybersecurity Risks from Anthropic’s Mythos AI
    US Officials Warn of Cybersecurity Risks from Anthropic’s Mythos AI

    Even if you dont take Mythos serisous: the US officials do. Via Bloomberg. Top US officials (Jerome Powell, Scott Bessent, …) warn that Anthropic’s highly advanced AI model “Mythos” could usher in a new era of cybersecurity threats, as its ability to find system vulnerabilities is so powerful it must be tightly restricted to prevent misuse.

    → View original post on X — @kimmonismus, 2026-04-10 20:12 UTC

  • Gary Marcus agrees: LLMs need honest narrative without hype

    Indeed, if the LLM crew would just stick to this narrative, I would have a *lot* less to say 🤷‍♂️ Viktor (@wickviktorwick) All we want is truth. Instead of overhyping LLMs, they should keep narative: -LLMs are useful in certain domains (math, coding, language) -they have very little common sense -don't trust it blindly -don't expect AGI based on this architecture — https://nitter.net/wickviktorwick/status/2042677519418048574#m

    → View original post on X — @garymarcus, 2026-04-10 19:17 UTC