Viewpoints, commentary, analysis, interviews, and discussion of trends.
@SPAC89 praised Meta’s Muse Wonder Full 1.0 Max, saying it produced high-quality 3D results in 22 minutes while using 5% of their weekly limit. They compared it with Opus 5.5 Xhigh and GPT-6.1 Sol Ultra, and called Muse Wonder a frontier model among the top 1–2 models. 🍉 MUSE WONDER 🍉
@bubbleboi says Muse Wonder Full is one-shotting a full RISC-V 64-bit core with a floating-point and SIMD unit, plus extensions for hardware acceleration of the Ed25519/secp256k hashing algorithms. They say they have it working on OpenROAD, which it downloaded on its own, and will tape out later this week. Alexandr Wang: use muse wonder full to make some chips!
Yes, and there is a case to be made that OpenAI and Anthropic will do the best job of figuring out how to optimize AI cost/intelligence with combinations of agents of different ability levels that have been specifically trained to work well together in their own harnesses.
Nathan Lambert calls a piece on China’s LLM data economy the best he has read so far on how it compares with the US. He says Chinese labs seemed 6–12 months behind US labs in willingness to spend on data, but are rapidly catching up, and notes that Tencent, Alibaba, and ByteDance lead Chinese spending rather than OpenAI and Anthropic.
Muse wonders of the world
@bubbleboi said Muse downloaded Blender and a facebuilding tool, found an image of Mark Zuckerberg, and is emulating Metal Gear Solid V on an M3 MacBook Pro to put Zuckerberg’s face on Venom Snake. @bubbleboi also said Muse completed a Minecraft task in a browser. Alexandr Wang reacted: “tbh seems like muse wonder made a banger game”
Muse Wonder for design!
I think there should be companion fitness hardware for Codex and Claude Code. For example, reasoning intensity could be tied to your grip strength: the stronger your grip, the higher the reasoning intensity. That way, you could work out harder to get higher reasoning intensity.
with muse wonder, we aimed to build a model that is useful for real world tasks for real people, informed by our product adoption and how people use muse. we focused on things that might not look as glamorous on twitter (for example, not 3d demo games), which in retrospect we probably could have done more of.
this was going to be the lead single from the album
get yourself a neogothic city with twigl
The whole team feels dumb now, but it's true: we did not explicitly train our model on 3D demo games. Obviously, in retrospect, we probably should've done a bit of that... but no regrets. Please try Muse Wonder on your actual coding work!
@theo ranked Opus 5.5 and Muse Wonder as S tier. Alexandr Wang said, “wow, S tier from theo! not on my bingo card”
@SPAC89 says Muse Wonder Full Max might actually be the best AI model in the world right now. Alexandr Wang shares the claim.
@leo114119 says, “This lighting effect, this level of detail and clarity—Muse Wonder really feels on par with Opus 5.5.”
@chetaslua says Muse Wonder made the animation using code, and that ElevenLabs voices and Suno music were chosen by Muse. Alexandr Wang calls the animation artistic.
muse wonder over a cheeky pint at some point in this video i get my annual performance review live on camera -- a truly tender moment 🥹
i unironically played muse'cooked for about 90 mins the other night little jolly is just so fkn cute. his hands are so small. how does he even cook??
Had some early access to Muse Wonder, but did not get a chance to use it a ton. From limited testing, it seems like a good model. Perhaps more impressive is the progress since April on my drowned neogothic city twigl shader test. Very fast progress from Meta in a short time.
🍉 MUSE WONDER 🍉 @hdubugras says Alex and Meta are on a roll, and that the model has replaced Astra/Opus in a variety of their workflows. They say it handles day-to-day tasks efficiently and quickly, and offer congratulations. Alexandr Wang’s reaction: “🍉 MUSE WONDER 🍉”
MUSE WONDER
@citrini says Meta has a real shot at capturing agents for small business and that its model is surprisingly decent at finance tasks. Alexandr Wang reacts: “the bois r speaking”
“[Muse Wonder] definitely mogged Astra in my hardcore physics testing.” — the new beff times
Alexandr Wang says Muse Wonder is state of the art for personal agents. He says Meta developed the Personal Superintelligence Index (PSI) internally to measure what makes a model useful for personal agents, beyond external benchmarks, and that the model performs well in areas including Active Memory and Active Focus.
Nathan Lambert writes, “Looks like Meta is back at the frontier 🫡” He quotes @finkd introducing Muse Wonder, Meta’s new family of frontier models, with claimed state-of-the-art performance for personal and professional agentic work.
If you announce a model's benchmarks without releasing it (weights, product, api, etc "later"), feels like almost a sure thing that someone releases a better model in your category before you get it out.
somehow the corposlops refused to use my video
@charlieholtz says Meta is at the frontier and calls Wonder “really really good,” citing a security vulnerability it found, its design and visualizations, and features in its CLI. Alexandr Wang reacts: “what a wonder full world 🍉”
From rebuilding our foundation to pushing the frontier in 14 months 🚀
MUSE WONDER 🍉 muse wonder is the best model in the world for personal agents and professional agents. we evaluated our model against the best models in the world across agentic and coding tasks, and we think you all will like it.
If you haven’t made sure to turn on two-factor authentication on all accounts, have passwords with family in case you get voice calls asking for money, etc, now would be a good time. AI gains mean the costs of mass targeting individuals with sophisticated attacks are dropping.
Microsoft President Brad Smith called for urgent global AI safety rules, arguing that the U.K. is better positioned to lead than the U.S. or European Union. He said voluntary self-regulation lets responsible companies comply while leaving less responsible ones a concern. Smith supports legal breach reporting for rogue AI agents and spoke positively about outside evaluations before release and kill switches to pause or slow AI systems.
If you’re a researcher, please consider sharing your RL environments openly! Something you built for one experiment could help the entire field move forward. I know we’re in dark days for sharing from frontier labs in the US, but I believe this can have a huge impact on the field and the world!
@antoinepirrone posted 3 minutes of uncut Microduck testing on carpet. Clément Delangue reacts: 😂 faceplant at 0:50 https://twitter.com/antoinepirrone/status/2109667437503193163
@MollySOShea says she spoke with Perplexity Founder and CEO Aravind Srinivas about why AI-native SMBs could drive the next American millionaire economic boom. Was a fun chat! Thanks for having me @MollySOShea! https://twitter.com/mollysoshea/status/2109645765958132083
I’ve learned from Lenny for years, but we had never met. What you see is what you get with him: he’s kind, prepared, and deeply curious. Great interviewers do their homework, and you can tell he’s in that league: he took our conversation to places that I’ve never talked about in public. Enjoy the first 60 minutes of us getting to chat together. Thank you @lennysan !
Andrej Karpathy describes four tiers of LLM exposure, arguing that public perceptions lag behind capabilities experienced by frontier-system users. He estimates roughly six billion people have barely encountered LLMs, one to two billion use casual chatbot products, 20 million use frontier models professionally in math and code, and 5,000 access internal frontier systems. He claims those internal systems coordinate thousands of agents on projects that would take experts years, while human review falls behind, and attributes progress in coding and math to reinforcement learning on verifiable rewards and commercial training priorities.
Huawei’s Mate X7 continues an eight-year evolution of foldable designs, while Apple’s iPhone Duo has just entered the market. IDC data for the first quarter of 2026 puts Huawei first in China’s foldable phone market with a 60% share. The article highlights Huawei’s range of foldable formats, the Mate X7’s multitasking features and hinge design, and its 11,999-yuan starting price, below the iPhone Duo’s.
A key figure behind REA recommends following it.
Bao Yu describes a role AI startups reportedly find difficult to hire for: someone who follows online trends, creates engaging content, understands AI and technology, and executes well. He says content creators, technical evangelists and engineers, and traditional PR staff each tend to lack some of those abilities, while few people have all four.
