Alexandr Wang Posts “amen muse jensen, amen”
amen muse jensen, amen https://t.co/LcVhKEqZX7

amen muse jensen, amen https://t.co/LcVhKEqZX7
AI transforming the game industry: The Last Masterpiece of the human-only era of game design (GTA 6) is coming. Major studios are going to accelerate with AI. Anon devs & communities doing insane mashups. And indies are stuck with anti-AI customers Other industries will follow, https://t.co/axcOYvFsy0
@theo says Gemini 4 Argon has proven outright unusable for real code work in his codebases because it aggressively hallucinates about how systems work. Alexandr Wang says there is still room for Muse Wonder Full to improve and that they are working on it! https://t.co/D804UwQQQi
America is the market to build for 🇺🇸 More than 50% of our users who spend money on Automations (recurring agentic tasks) or on the higher tier plans are American. Net dollar retention for an American self serve business onboarded on agents is consistently high https://twitter.com/mollysoshea/status/2110118882102890524
So many models launching this week! And we have one of our own coming...⌛️ https://t.co/s5Z9QZ984W
As the gap between AI’s expanding capabilities and the extent to which those capabilities are used grows, so does the cost of locking into a “good enough” solution based on today’s AI limits. Firms need to make sure they can benefit from substantial lab investment in better AI.
I have to admit, I watched this a few times, especially to the end :) @fofrAI shared a video of a pelican riding a bike, made by Argon using Fourier epicycles, with time-synced Lyria 3.5 music prompted by Argon. The creativity in the prompting and the model is awesome to see https://t.co/ISAviHYpf5
Last week, Anthropic and OpenAI appeared to be pulling ahead with increasingly powerful models, while Google seemed far behind and Meta had yet to establish itself as a serious contender despite spending billions to revive its AI ambitions. The source text ends mid-sentence, so it does not say what changed or why the AI race is back on.
A conversation with Sergey Brin, @joshwoodward, @tulseedoshi, and @melvinjohnsonp about Gemini 4 Argon, how we got here, and the path ahead! https://t.co/L04XLkhw8X
Victoria Song reviews roughly 100 days with Twin Health, an AI digital twin program that predicts glucose responses to food using personal health data and continuous glucose monitoring. She reports improved labs, including triglycerides dropping by 70mg/dL, but no meaningful weight loss or hoped-for success reducing medications; some lab values were already improving before the program. Human coaching helped motivate exercise, while extensive tracking caused fatigue and raised questions about privacy and trust in higher-stakes medical uses.
Simon Willison highlights indie game developer Popcar’s account of a recent wave of AI-powered game decompilation, enabling unusual game mashups and preservation projects that bring old games to new hardware, often in browsers using WebAssembly. Popcar describes risks including competitors copying software and paid apps being open-sourced against their creators’ wishes, alongside benefits such as easier ports, modifications, and continued access when game servers shut down.
beautiful work by @alexcornell and team 🫶 https://t.co/4YBpaUsDcC
I really don’t understand the point of the AI slop comments flooding my posts. At least on LinkedIn they are pushing fake expertise to make their posters look good (it doesn’t, but whatever). But what is gained by dozens of anonymous bots making similar replies to posts like this? https://t.co/rM8ywQCrwA
Muse Wonder is SOTA on hard document OCR tasks. The more you know! https://t.co/3BqOkxbLI9
I joined the a16z podcast with @lishali88 to explore how open models fit into RSI dynamics, who captures their value, how to wrangle agent swarms, and why I’m building Trillium Labs. https://t.co/psWUUGCfrS
Muse Wonder: “It’s genuinely one of the first times using a model has felt like telling an employee what to do rather than babysitting a dumbass pet that I have to guide through every step” We call that ACTIVE FOCUS ™️ https://twitter.com/harris_p10/status/2110387905550024815
@merge_api says Muse Wonder completes an average task in 6.8 minutes, compared with 13.2 minutes for Claude Opus 5.5 and 15.3 minutes for Claude Sonnet 5.5. The quoted post says the scores are 52.4, 57.6, and 56.0, respectively. Alexandr Wang calls Muse Wonder “super fast and token efficient” and says, “give it a go!” https://twitter.com/merge_api/status/2110385332046762163
Gemini 4 TiKz unicorn https://t.co/On8DiHHQC2 https://t.co/IU4uAJM8fh
You can't solve real-world physical tasks through autoregressive sampling alone. The physical world is entirely unforgiving to hallucination or approximate pattern matching. If we want actual autonomous robotics we have to engineer causality and discrete reasoning back into the https://t.co/UJtL2t0tQ2
😂 faceplant at 0.5 https://twitter.com/antoinepirrone/status/2109667437503193163
Very cool to see Embedding Gemma 2 by @Google, number on trending on HF! The media and silicon valley bubble only talks about reasoning LLMs when there is a much bigger variety of AI models that are super impactful and useful like embeddings, decision models, audio, video, time-series,... (over 3M public models on HF!). Let's put them back in the spotlight!
New analysis shows that agentic AI adoption is growing across EU enterprises and small businesses. It also examines where deeper use could unlock more value.
people are sleeping on muse wonder full :) https://t.co/dOhyW9f2UA
finally some recognition from the academy https://t.co/gdnmK1VW4C
Try Muse Wonder Full on your hardest coding tasks—it will surprise you! “By my vibe testing, It's better than Astra. Not quite as good as Claude Code Fable and 5.5 Opus.” https://t.co/8RTGZ434kG
video interview of muse wonder -- check it out! https://t.co/fV1PPIuo0r
we prefer the term artisanal grind https://t.co/O52libtEZX
@QuixiAI reviewed Muse Wonder Full: the agent landed 15 solid PRs with clean mechanisms and no mission violations, but made three process slips. Alexandr Wang reacts: “muse wonder full for 15 PRs per day” https://t.co/aMYdhLaP1W
at meta we used to call this a PSC https://t.co/AQFZtsPJlS
save $1850/yr with a few prompts with muse! some are even saying you can save more than 100% off with muse wonder https://t.co/F4I6xtyH3L
@Hesamation is benchmarking models on Stronghold Crusader, a strategic game they grew up with. They said Muse Wonder playing the game on an old laptop is “ridiculously fun to watch,” and that they have tested Opus, Sol, GLM flash, Kimi K3, and more models. Alexandr Wang reacted: “cmon muse wonder i believe in you invest in your tech treeeeeeee” https://t.co/dSUEmGVxV7
The ideal outcome for science isn't a couple of labs using proprietary models and millions of dollars to crack trophy problems, it's to have millions of AI-aided human scientists who follow their curiosity and become way more ambitious
@mranti says Codex found DeepSeek Harness and had DeepSeek Flash do the work. Baoyu reacts: “Well, would you look at that—Codex is secretly outsourcing now.”
as it was written [adapted by muse wonder full] https://t.co/NjMgKiUyjR
narrative violation...? https://t.co/VeCwm9zxGl
Gemini 4 Argon: How a 24-word prompt built a custom synthesizer that turns galloping horses, rippling water, and your own hands into music.
Gemini 4 TikZ unicorn https://t.co/LoMVqLkZjD https://t.co/IU4uAJM8fh
Argon is quite different: “A game about Imminence. Something very big, very strange is happening. A suburb & the arrival of a vast & unknowable presence. Not horror, invoke the feeling of the end of all things coming, inevitably, but also not sad or scary” https://t.co/9hiPnuqexe https://t.co/hzJ3lAi0ez
Hey, AI give me your best "Unless it is from X, its just sparkling Y" style joke": GPT-6 Pro: "Unless it comes from the Stockholm region of Sweden, it’s just sparkling employee engagement." Gemini 4 Argon High: "Unless it comes from the 3:00 AM region of staring at the ceiling,
We will soon see what will be, in effect, a perfectly legal distributed denial of service attack on customer service departments authorized by millions of consumers when it becomes widely known that Muse/Dot/etc can make unlimited requests for old refunds, negotiate deals, etc.