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  • 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

  • Agentic AI Pushes GPU-Only Systems to Their Limits

    Agentic AI is exposing the limits of GPU-only systems. New coverage from @datacenter highlights how @Intel and SambaNova are rethinking inference: → GPUs for prefill
    → RDUs for fast decode
    → CPUs for orchestration A shift toward efficiency, not just scale. Read more ↓

    → View original post on X — @sambanovaai

  • Immortals destined to become gelatinous blobs

    But unfortunately the immortals will be gelatinous blobs

    → View original post on X — @plinz

  • 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 enterprise automation

    Anthropic stopped selling AI assistant and started selling AI employees. 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

  • 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

  • Hermes Ecosystem Map: Comprehensive Guide to All Projects
    Hermes Ecosystem Map: Comprehensive Guide to All Projects

    Introducing the Hermes Ecosystem Map I was an early user of Hermes Agent from @NousResearch and have been a power user ever since But as the ecosystem has grown, its been hard to keep up, so I did some research: > Scraped every GitHub repo related to Hermes > Filtered out repos that looked unfinished or had 0 stars > Built an ecosystem map of everything created and organized it all by category > Published a website where you can see all the projects with star ratings, and if you hover over you get a short description and link to the repo Then I had Claude run a security check on every repo to exclude anything that looked sus Link is in the replies, and also open sourced the repo so feel free to submit PRs if you see anything missing Oh, and the repo has a /research folder that includes a scrape of everything I could find that's been published on Hermes – you can clone that and add it to your personal knowledge base / wiki

    → View original post on X — @scobleizer, 2026-04-08 17:54 UTC

  • 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