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  • Claude Managed Agents: Anthropic’s Game-Changing AI Agent Platform
    Claude Managed Agents: Anthropic’s Game-Changing AI Agent Platform

    Anthropic‘s new Claude Managed Agents is the next shit from AI that simply responds to AI that can actually do the work. They are on the right path, updates being shipped daily, no end in sight. So far it feels like 2026 is Anthropics year. Claude (@claudeai) Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform. — https://nitter.net/claudeai/status/2041927687460024721#m

    → View original post on X — @kimmonismus, 2026-04-08 18:15 UTC

  • Making Advanced AI Affordable for Universal Access

    perhaps the real AI race should be figuring out how to make advanced intelligence cheap enough for everyone to use (yes i just looked at my Claude Code bill)

    → View original post on X — @willknight

  • Runway Characters Now Support Custom AI-Generated Voices

    Custom voices are now available for Runway Characters. Design new voices from text prompts and start building Characters that sound exactly like you want them to.

    → View original post on X — @runwayml

  • Runway AI Web App and API Now Available for Builders

    Available to try now on the web app and to start building via the Runway API. Learn more:

    → View original post on X — @runwayml

  • Cognitive Engines Hard-Coded Pipelines Over Symbolic Reasoning

    he literallt argued that symbols were like phlogiston (once) and that using them was like using gas engines when we should just electric. the cognitive engines as you call are now hard coded with pipelines to use tools and massive examples for how. not gonna continue the

    → View original post on X — @garymarcus

  • Meta Muse Spark Outperforms ChatGPT in Menu Reading Test
    Meta Muse Spark Outperforms ChatGPT in Menu Reading Test

    VERDICT: Meta Muse Spark is the REAL DEAL I ran several tests, including reading a menu. Newly released Meta Muse Spark was on the ONLY frontier AI to get all the items correct. Sorry ChatGPT, there is no "Slapped Wagyu Dog" on the menu💀. riteshkhanna.com/blog/muse-s…

    → View original post on X — @alexandr_wang, 2026-04-08 18:00 UTC

  • Anthropic Launches Claude Managed Agents for Production Deployment

    Anthropic killed 1000+ agent startups with Managed Agents: > coding agents that ship prs > finance bots that process docs instantly > productivity agents that join your team > infra you'd spend months building THEY DID IT AGAIN. Claude (@claudeai) Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform. — https://nitter.net/claudeai/status/2041927687460024721#m

    → View original post on X — @ceobillionaire

  • Mythos AI: Safety Concerns and Need for Global Regulation

    Some sober thinking about Mythos (full version with links at my newsletter): 1It’s probably not as bad as they say, as AI and cybersecurity expert @HeidyKhlaaf explains elsewhere (in a thread “As someone who has audited dozens of safety-critical systems, built static analysis tools, and …. here are some red flags”)
 2Whether or not Mythos is AGI per se is a red herring. (It probably isn’t; it’s telling that the report says very little about overall capabilities.) Crucially, AI doesn’t need to be AGI to cause harm! ChatGPT can’t reliably run a timer but it has still been implicated in delusions, suicides, cognitive surrender, mass disinformation, and so much more. Mythos may wreak havoc even if it hallucinates and lacks reliability outside of domains like coding and math. A system doesn’t have to be AGI to carry risks. 3The strongest lesson here is about policy. Anthropic showed some admirable restraint in not publicly releasing a potentially dangerous technology. But some of their competitors (such as OpenAI and xAI) might well not. Whether Mythos is as scary as it sounds or not, the reality is that without any government oversight on what can be released, we are entirely at the mercy of individual CEOs, some of whom have decidedly not earned our trust. 4Corollary, as pointed out to me by a friend, “it is impossible to disentangle real concerns from fear mongering being used as a marketing strategy, and so it just is not possible to separate justified panic from mere advertising which is why we need government oversight!” 5What about China? We need an international agency and treaty. That’s what I have been arguing all along. (That was the point of my 2023 TED talk, and 2023 invited essay with @AnkaReuel in The Economist). We still do. Mythos (and the reporting around Altman) only make that clearer. Self-regulation is too little, too late. The situation is this: three years of self-serving and misleading arguments about how regulation would allegedly preclude innovation has left us up shit’s creek, without a paddle. I can’t tell exactly how far Mythos (or similar competitive systems that will no doubt follow) leave us up that creek, but I do know that the time for crafting paddles is running out.

    → View original post on X — @garymarcus

  • AI Artist Evolution: Following Papadu’s Creative Journey Through New Tools

    Papadu's mind is a little weird. Been watching his work evolve since the beginning of AI generated media. Back when people had seven fingers. Do you have an AI artist you like to follow for years? How has their storytelling changed due to new tools? PAPADU PAPADU (@papadupapadu) Telling a little story. TRACK: Hans Zimmer | No Time For Caution (surRIHL Visual Edit) Created with @LoLoLumi88 using @PixVerse_ V6 — https://nitter.net/papadupapadu/status/2041523001338818660#m

    → View original post on X — @scobleizer, 2026-04-08 17:51 UTC

  • Local AI Models vs Top-Tier Performance Limitations

    Both can be true: I want really powerful local models, I'm also BOMBARDED with emails/messages of people complaining how even the top tier models are not good enough, make mistakes or don't follow instructions well enough.

    → View original post on X — @steipete