1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai.
GENERATIVE AI
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Meta Introduces Muse Spark, New Superintelligent Multimodal AI Model
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Excited to share what we've been building at Meta Superintelligence Labs! We just released Muse Spark, our first AI model. It's a natively multimodal reasoning model and the first step on our path to personal superintelligence. We've overhauled our entire stack to support scaling, and this is just the beginning. ai.meta.com/blog/introducing… [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-08 16:00 UTC
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Anthropic Launches Mythos Model with Record SWE-Bench Performance
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I run growth at @AnthropicAI
. My job is to get our models into as many hands as possible. Mythos is by far the strongest model we've ever trained, and it's been a step-function change for us internally. It hit 93.9% SWE-bench Verified, found a ton of critical bugs including a -
False dichotomy about LLM capabilities and limitations
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literally fourteen minutes after my last explanation of why this is a false dichotomy 🤦♂️ Michael Foster (@realmfoster) so do LLM’s not work or are they too capable? Which is it Gary? — https://nitter.net/realmfoster/status/2041903282730283192#m
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AI Companies Intentionally Degrade Models Between Releases
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1. If true (and it does fit with my perceptions FWIW), this is an amazing and incredibly damning graph
— Gary Marcus (@GaryMarcus) 8 avril 2026
2. Can anyone find the source on which it is based? https://t.co/wn93WshtVL1. If true (and it does fit with my perceptions FWIW), this is an amazing and incredibly damning graph 2. Can anyone find the source on which it is based? Marcin Krzyzanowski (@krzyzanowskim) "Anthropic, OpenAl and Google release their new models with high quality from day one then slowly nerf them until the next model, so when the next model hits, its perceived as a bigger jump than it actually is" sounds right what's happening — https://nitter.net/krzyzanowskim/status/2041793699223322657#m
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Meta Launches Avocado Model with Positive Initial Testing Results
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Meta is rolling out its new model "Avocado". Intial testing: very positive! Go check it out
→ View original post on X — @kimmonismus, 2026-04-08 15:35 UTC
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60% of companies plan layoffs for non-AI adopting employees
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Failing to use AI at work could cost you your job
A new study finds 60% of companies plan to lay off employees who don’t adopt AI. https://
fastcompany.com/91517123/faili
ng-to-use-ai-at-work-could-cost-you-your-job
… #AI #Work #Technology #jobs #GenAI #Workers -
Google’s TurboQuant: Have You Tried This Technology?
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Interesting have you tried googles turboquant?
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AI Risk Without AGI: Harms From Current LLM Systems
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🤯 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. A system doesn’t have to be AGI to carry risks. Mythos probably isn’t AGI either (nothing’s really been released), but it clearly can be used as a cyberattacking tool etc* *the commenter below also misunderstands my views. I don’t think pure LLMs will ever be AGI but some approach will be eventually. (And I have always been clear about). (Also hardly anyone is using pure LLMs anymore; almost everyone has quietly moved to what I long urged: neurosymbolic AI, in which symbolic tools complement the weakness of pure LLMs, quietly vindicating what I have argued for 30 years.) Kudo (@CryptoC58828499) Please. If AI isn’t going to AGI (as you claim), then stop the damn fear mongering. — https://nitter.net/CryptoC58828499/status/2041898327965626458#m
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Visual AI Agents Replace Text Input at Art Fair
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Typing is a bug. Or maybe we just got used to it.
— Dr. Xi Zeng (@xiz25) 8 avril 2026
At Art Central, something felt a bit off. It’s a major international art fair, 100,000 people moving through the space all day — but almost no one was typing.
Instead, they were just holding up their phone, trying to make sense… pic.twitter.com/37bYD0SIR3Typing is a bug. Or maybe we just got used to it. At Art Central, something felt a bit off. It’s a major international art fair, 100,000 people moving through the space all day — but almost no one was typing. Instead, they were just holding up their phone, trying to make sense of what’s in front of them. Not searching, not prompting. Just looking, and letting AI make sense of it in real time. And it wasn’t just a one-off. You’d see it happen again and again, across different booths, different people, different moments. At some point it stopped feeling like a demo, and started feeling like how people naturally use visual agent @Chance_vision . If AI is supposed to understand the real world, why are we still forcing it into text?