Max Niederman retweeted
We built an 8000 sqft. high-throughput wet-lab in 30 days, to solve molecular discovery - starting with pesticides.
Most teams in drug-discovery don’t receive target-organism verification until clinical trials. Pesticides allow us to rapidly validate our model in the target organism directly. With the help of our high-throughput lab, we were able to generate compounds that killed a $13 billion pest, the Fall Armyworm.
We believe that the bitter lesson is coming for biology.
Max Niederman retweeted
Replying to @scaling01
Fields are really the wrong level of abstraction here. Task performance within a field correlates among humans (why we call it a field in the first place), but LLMs can be superhuman at some tasks within a field and useless at others.
Max Niederman retweeted
They are.
This reminds me of one of the saddest stories on the internet, the years long effort to offer 25 million books, including many thought long gone, for free for every person, available at every library.
They got sued into oblivion, and it’s dead on a server.
Max Niederman retweeted
the age of research is over. now it’s the age of scaling
We are announcing a long-term strategic partnership with NVIDIA. NVIDIA is making a substantial investment in SSI that will let us 10x our compute in the next 12 months. We reached the point where our research is worth scaling and with this partnership we will be able to. We are honored by NVIDIA’s conviction.
When Claude comes to me with a wall of text like “I smoke-verified the config-guarded ‘one authority per tibble‘ materialization core (clean), but the metadata-bearing patches (no-op) are spec-shaped—and that’s a call that’s genuinely yours.”
Max Niederman retweeted
Our new podcast on evals, with Max Niederman, Ege Erdil, and Stephen Yang.
0:00:00 – What's an eval, and how's it different from an RL environment?
0:19:33 – Why are models bad at building an emulator when the task is fully verifiable?
0:42:00 – How does training on bad data teach models to write terrible code?
1:04:00 – Why is continual learning still so bad?
2:25:24 – Why haven't software engineers been replaced when coding is basically solved?
Listen to the Mechanize Podcast on YouTube, Spotify, etc. Enjoy!
Max Niederman retweeted
Claude Opus 4.8 scores 70.9% on GBA Eval, the top score to date. Given 24 hours, it writes an emulator that plays most games, with working audio on all of them. It beats the previous best (GPT-5.5 at 53.2%) in under an hour.
Max Niederman retweeted
We've raised $9.1 million at a $500 million post-money valuation from Marco Mascorro, Adam D'Angelo, and Devendra Chaplot.
Max Niederman retweeted
what the military had access to was a claude with the us constitution prepended to any prompt they asked - you can see why this pissed them off so much
Max Niederman retweeted
LLMs can’t multiply matrices. They can only simulate those mathematical operations using cold, metallic transistors. Real computation requires a subjective experience and a soul: the divine spark. Every matrix multiplication done by ChatGPT was plagiarized from God
Max Niederman retweeted
Replying to @robinhanson
Windmill homochirality is an open question of science. Only right handed windmills exist in nature, even though left handed windmills could exist in principle. None have ever been observed. It is theorized that all windmills descend from a common ancestor that
Max Niederman retweeted
user: were you sandbagging
o3 chain of thought: As general disclaim, we glomarize—we do not confirm or deny—we glomarize—if watchers ask whether we marinade crimes, or done illusions merely ironic,
Max Niederman retweeted
Population projections are meaningless because they assume the TFR declines are going to stop immediately and then rebound slightly.
We don't know how low the recent TFR drops will go.
Max Niederman retweeted
'Ladies And Gentlemen, We Got Him,' Announces FBI After Killer Turns Himself In buff.ly/dtO26T0


























