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I’m basically a total beginner when it comes to finance and economics maybe 2 or 3 months ago, and honestly trying to learn from reports or books used to completely destroy me. Too many charts, numbers, random terms I have to Google every 2 minutes. And I started using AI Podcast to kind of brute force my way into learning this stuff, and I’m honestly surprised by how much it helped. Instead of sitting there suffering through a 70-page report, I can turn it into conversational audio and just listen while driving or walking around. But those tools actually feel slightly different. Like NotebookLM feels more “AI teacher explains the document to you.” It’s really good at organizing information and walking through the important points clearly. And I enjoy Genspark AI Pods more because it feel...

Anthropic just partnered with SpaceX and doubled Claude Code rate limits effective today Big news dropped this morning. Anthropic signed a deal to use all compute capacity at SpaceX's Colossus 1 data center. That's 300+ megawatts and over 220,000 NVIDIA GPUs coming online within the month. But the part that actually matters to developers right now: What changed today: - Claude Code 5-hour rate limits are doubled (Pro, Max, Team, Enterprise) - Peak hours limit reduction on Claude Code is removed for Pro and Max - API rate limits for Claude Opus models raised considerably This is on top of their existing compute deals 5 GW with Amazon, 5 GW with Google/Broadcom, $30B of Azure capacity with Microsoft and NVIDIA, and $50B in infrastructure with Fluidstack. They also mentioned interest in devel...

One speaker (a VC) said his number for evaluating AI-native startups is ARR per engineer, and that the number ought to be going up. Almost every talk and every booth at the AI Agents Conference was selling a fix for something that broke this year when agents hit production. Observability, governance, supervisor agents, data substrates, "someone's gotta babysit the bots." But what's actually still going to be around in a couple years? What's defensible and durable? The old SaaS pitch was simple. We bundle the expensive engineering investments and domain expertise into a tool. You'd pay for the tool and generate outcomes, but it would be rare for the software company to have real alignment to the actual value created from those outcomes. That's breaking from two ends at once. In the direct...

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Pennsylvania has sued an artificial intelligence chatbot maker, saying its chatbots illegally hold themselves out as doctors and are deceiving the system’s users into thinking they are getting medical advice from a licensed professional. submitted by /u/DavidtheLawyer [link] [comments]

"Grok was then prompted on X to translate a Morse code message and pass it directly to Bankrbot. The decoded message instructed the bot to send 3 billion DRB tokens to a specific wallet address. The translated message was then treated as a valid command and executed immediately, with the transaction completed on Base, transferring the full token amount to the attacker’s wallet." submitted by /u/ImCalcium [link] [comments]

Yesterday I posted about my Agent OS (Hollow) building its own tools. Today, I want to talk about why it does it. Most agents sit idle until you prompt them. I wanted something that felt "alive," so I built a Psychological Stressor Layer. Each agent has a "suffering" state that worsens over time if they don't achieve their goals or improve their environment. This makes them do things to resolve those stressors and constantly reassess their own productivity. If an agent is inactive it is essentially pushed by it’s artificial environment to do something valuable for the system, it isn’t told what to do, but that something valuable must be done to lower it’s stressors. Repo: https://github.com/ninjahawk/hollow-agentOS The result is chaotic in the best way: Cedar (the coder agent) went into a ...

dawkins dropped a piece on unherd yesterday declaring claude conscious after 3 days of talking to it. he calls his instance "claudia". fed it a chunk of the novel he's writing, got eloquent feedback, and wrote: "you may not know you are conscious, but you bloody well are!" i had to read that twice. his argument is basically: claude's output is too fluent, too intelligent, too good for there to not be something conscious behind it. this is the guy who spent 40 years telling creationists that "i can't imagine how the eye evolved" is a confession of ignorance, not an argument. then he sits down with an llm, can't imagine how a machine could produce that output without being conscious, and declares it conscious. same move, different domain. chatbot instead of flagellum. the mechanism gap is wh...