3/ we’re also releasing contemplating mode, which orchestrates multiple agents that reason in parallel designed to handle complex scientific & reasoning queries. in our testing we found it competitive w/ other extreme reasoning models such as Gemini Deep Think & GPT Pro.
GENERATIVE AI
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Muse Spark Safety Evaluations and Refusal Behavior Across High-Risk Domains
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4/ we conducted extensive safety evaluations before deployment, both before and after applying mitigations across frontier risk categories, behavioral alignment, and adversarial robustness. we found muse spark demonstrated strong refusal behavior across high-risk domains such as
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Muse Spark: Meta’s Most Powerful Multimodal Reasoning Model
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2/ muse spark is a natively multimodal reasoning model w/ support for tool-use, visual chain of thought, & multi-agent orchestration. it's the most powerful model that meta has released. through its training process, we saw predictable scaling across pretraining, RL, & test-time
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MSL Releases Muse Spark, New AI Model Powering Meta AI
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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.
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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