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  • Grounding Feature Shipped to Production for Better Understanding

    Grounding has shipped to prod. It's great for understanding explaining and understanding things better!

    → View original post on X — @alexandr_wang, 2026-04-08 16:29 UTC

  • AI and Smart Glasses Revolutionize Physical World Jobs

    AI is going to take every single human job that exists and help us do it 100x better through smart glasses. This delivery driver makes fewer mistakes, drives safer, and spends less time per stop as his smart glasses AI copilot help him navigate, find the right package, and move around hands free. AI is an extension to our brains. It extends our thinking and allows us to do things that we could never do before. I don't think AI is replacing people. I think it's going to enter into the physical world in an entirely new way. AI in a chatbox already changed the world of knowledge work. Now watch what it does to jobs in the physical world. Mentra is building the OS and hardware infrastructure to make this happen. Are you another boring B2B SaaS that is about to get replaced? Disrupt yourself with smart glasses. Mentra's got the infra covered.

    → View original post on X — @scobleizer, 2026-04-08 16:28 UTC

  • What Makes Quality AI Infrastructure

    Honest question: what makes AI infra good?

    → View original post on X — @tunguz

  • 5 AI Model Architectures Every Engineer Should Know
    5 AI Model Architectures Every Engineer Should Know

    5 #AI Model Architectures Every AI Engineer Should Know by Arham Islam @Marktechpost Learn more: bit.ly/4s5g1pA #LLM #ArtificialIntelligence #GenerativeAI #ML #MachineLearning

    → View original post on X — @ronald_vanloon, 2026-04-08 16:25 UTC

  • API Release Coming Soon to Power Applications

    we intend to release the API soon! we look forward to it powering some claws out there 🙂

    → View original post on X — @alexandr_wang

  • Domain Experts as Essential AI Partners for Actionable Insights

    Their deep, contextual knowledge of physical processes is the ingredient that turns raw data into actionable insight. They're not obstacles, they're essential partners.

    → View original post on X — @fogoros

  • MSL’s First Model Launched with Rough Edges to Polish

    9/ this is MSL's first model and there are certainly rough edges we will polish over time in model behavior. regardless—we are excited for everyone to try it!

    → View original post on X — @alexandr_wang

  • Meta’s Muse Spark Returns Company to Frontier AI Race
    Meta’s Muse Spark Returns Company to Frontier AI Race

    Meta is back! Muse Spark scores 52 on the Artificial Analysis Intelligence Index, behind only Gemini 3.1 Pro, GPT-5.4, and Claude Opus 4.6. Muse Spark is the first new release since Llama 4 in April 2025 and also Meta's first release that is not open weights Muse Spark is a new model from @Meta evaluated on Artificial Analysis. We were given early access by Meta to independently benchmark the model. It is the first frontier-class model from Meta since Llama 4 Maverick was released in April 2025, and notably the first @AIatMeta model that is not being released as open weights. The release follows Meta's reorganization of its AI efforts under Meta Superintelligence Labs, and signals that Meta is re-entering the frontier race after roughly a year of relative quiet. For context, Llama 4 Maverick and Scout scored 18 and 13 respectively on the Artificial Analysis Intelligence Index as non-reasoning models at the time of their release, while Muse Spark scores 52. Muse Spark essentially closes the gap between to the frontier in a single release. The model is not open source and is not yet accessible via an API but Meta has shared they expect this to come soon. Meta is also integrating Muse Spark into their first party products including their Meta AI chat product, Facebook, Instagram and Threads. Key takeaways from our benchmarks: ➤ Muse Spark scores 52 on the Artificial Analysis Intelligence Index, placing it within the top 5 models we have benchmarked. It sits ahead of Claude Sonnet 4.6, GLM-5.1, MiniMax-M2.7, Grok 4.20 and behind Gemini 3.1 Pro Preview, GPT-5.4 and Claude Opus 4.6 ➤ Muse Spark is notably token efficient for its intelligence level. It used 58M output tokens to run the Intelligence Index, comparable to Gemini 3.1 Pro Preview (57M) and notably lower than Claude Opus 4.6 (Adaptive Reasoning, max effort, 157M), GPT-5.4 (xhigh, 120M) and GLM-5 (110M) ➤ Muse Spark is the second-most capable vision model we have benchmarked. It scores 80.5% on MMMU-Pro, behind only Gemini 3.1 Pro Preview (82.4%) ➤ Muse Spark performs strongly on reasoning and instruction-following evaluations. It scores 39.9% on HLE, trailing only Gemini 3.1 Pro Preview (44.7%) and GPT-5.4 (xhigh, 41.6%). The model also achieved 5th highest in CritPT with a score of 11%, an eval that is focused on difficult physics research questions. This is substantially above above Gemini 3 Flash (9%) and Claude 4.6 Sonnet (3%) ➤ Agentic performance does not stand out. On GDPval-AA, our evalaution focused on real world work tasks, Muse Spark scores 1427, behind both Claude Sonnet 4.6 at 1648 and GPT-5.4 at 1676, but ahead of Gemini 3.1 Pro Preview at 1320. On On TerminalBench Hard, Muse Spark trails Claude Sonnet 4.6, GPT-5.4, and Gemini 3.1 Pro. Muse Spark joins others in achieving a high τ²-Bench Telecom score of 92% Key model details: ➤ Modalities: Multimodal including text and vision input, text output ➤ License: Proprietary, Meta's first frontier model not released as open weights ➤ Availability: No public API at the time of publishing. Meta expects to provide API access soon. Meta has started integration into their first party AI offering Meta AI and inside Facebook, Instagram, and Threads

    → View original post on X — @aiatmeta, 2026-04-08 16:16 UTC

  • AI Adoption in Enterprise: Data and Sectoral Trends
    AI Adoption in Enterprise: Data and Sectoral Trends

    Enterprises are using AI today for coding, legal, support, healthcare, and more. @kimberlywtan's must-read deep dive compiles hard data on where AI has the most enterprise adoption – and the industries AI is coming for next: a16z.news/p/ai-adoption-by-t… [Image] Kimberly Tan (@kimberlywtan) x.com/i/article/204175770374… — https://nitter.net/kimberlywtan/status/2041896368877531158#m [Translated from EN to English]

    → View original post on X — @scobleizer, 2026-04-08 16:16 UTC

  • Cursor Agents: Control Remote Machines From Your Phone

    You can now run Cursor on any machine and control it from anywhere. Kick off agents from your phone to run on your devbox.

    → View original post on X — @cursor_ai