Physicist from Pittsburgh
Walnut Creek, CA
Joined October 2011
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Michael Sinko retweeted
.@mattyglesias proposes some widely agreed tax changes rather than a wealth tax:
Michael Sinko retweeted
We can now automate assessments of the value of peer review by field and journal by looking at change records vs preprint servers.
Let's focus on the upside: we can now run peer review 1000x faster and cheaper.
Massive. New Harvard study finds that AI-written paper reviews now beat the best human peer reviews on every measure the authors tested.
Peer review is slow and often misses errors. Earlier studies concluded AI should only assist human reviewers, not replace them.
They used 134 reviews from rapidPeer, a Harvard service that pays expert reviewers well. Claude Opus 4.8 reviewed the same 1124 papers, and GPT-5.5 plus 3 former journal editors judged the pairs blind.
GPT-5.5 picked the AI review in all 132 decided pairs, and the editors picked it 87% of the time. Only 5.5% of the AI's claims about the paper were wrong, versus 15.9% for the human reviews.
Teams that depend on expert critique can now let AI do the first full review pass, and keep a human for the final decision.
For a full scale fusion reactor, transmuting mercury into gold will approximately double the revenue of the facility at current gold prices
So in $’s, it will make as much gold as it does electricity.
This makes fusion viable at lower Q, but won’t crash the economy or gold market
Any fans of Idle Games out there?
Looking for a few play testers
I’ve worked with Claude to turn polygon packing into an idle game
Instead of just seeing numbers go up, your computer is also serving as distributed compute for optimizing N-gon packing.
Michael Sinko retweeted
What makes it all so tragic: in 1977, Congress was warned by an expert panel *not* to increase Social Security benefits automatically. They knew there was a big risk of bankrupting the system. And they did it anyway. /6
This is clearly just free model failure (FMF)
You get what you pay for
Opus5.5 didn’t just design a crossword pdf, it built an artifact with a solve checker for the fall theme I requested
Autumn leaves fell across the screen when I solved it
The future is unevenly distributed
On the train yesterday, table of middle aged women next to me talking about AI. All ChatGPT, pronounced "chat GBT", no idea why lol
One of them was disappointed because she asked it to make a small crossword and it couldn't
I thought surely not. I use these models every day, they do things in minutes that'd take me hours. So I got the app out and asked for one myself
Every down clue is a copy of an across clue. "You ___ here" is apparently EST. The down answers are CET, ASE and TTN. Then it tells me its own puzzle isn't a proper crossword
No wonder people outside tech think it's a fad. The stuff that blows my mind at work they'll never see, and the first thing they try falls over
Michael Sinko retweeted
my friend milo (math phd student at caltech, research intern at logical intelligence) wrote an article on some of the consistency and soundness concerns of Lean, and why they should be taken seriously right now: lesswrong.com/posts/zHhGa3iQ…
Michael Sinko retweeted
For many moral traditions the reason for why you punish a child intentionally stepping on ants uses words like "stewardship" and is primarily concerned with the moral harm to the child.
That is sufficient for my family's In This House, We Are Polite To Robots rule.
Michael Sinko retweeted
As a true republican hater who’s goal is the total and complete destruction and electoral dismantling of the Republican Party, these polls are like drugs to me.
“Every republican alive is an affront to God” is not a meme to me, I genuinely feel that way lol.
Michael Sinko retweeted
we should tightly regulate flock-style cameras and strictly punish abuses, but getting rid of them entirely is just stupid
Michael Sinko retweeted
Moose was profoundly good. He loved our children. He loved adventures. He never met an enemy. He was gentle and kind. He did not deserve to die like that.
We need patent reform that covers AI driven or assisted inventions.
If we want to speed up our technological progress as a society, we should not be granting full patent terms to inventions made by AI.
We also need patent reform covering convergent AI solutions to avoid trolls
Michael Sinko retweeted
I think you've done enough calling us paranoid and preposterous. The next step is for you to defend your position in public against someone who will push back against it. I'm happy to meet you for a debate anywhere, anytime.
You're a world-famous veteran of dozens of debates against the world's top intellectuals, and I've never argued in public before, so adjusting for the relative correctness of our positions, if you're a betting man I'm happy to put my $5000 against your $1000 (ie 5:1 odds in your favor) that I'll win by some standard of audience opinion change. Let me know if you're interested and we can hash out details.
Michael Sinko retweeted
This is cool to see. A UC Regents member is changing his mind on the value of standardized tests:
“Last time around, I voted to get rid of the SAT, & I’m starting to believe I might have made a mistake”
Michael Sinko retweeted
Some personal news: earlier this week I joined @OpenAI’s national security team.
My work has always sat between technical AI, national security, and policy. Over the past year, it has become increasingly clear to me that the hardest questions are moving closer to the frontier itself. 1/
Michael Sinko retweeted
Anyone who has read METR's Technical Report on the OpenAI/Hugging Face incident will understand that software-only controls will not be sufficient to contain superhuman AI.
Any continuing work on adversarial superhuman intelligence must rely on the physical containment methods used for nuclear security: including air gap isolation, data diodes, and a two-person rule for data exfiltration.
Moreover, the internet itself must be hardened against penetration by self-propagating AI agents: no more untraceable access to high-end AI computing facilities, and no anonymous fund aggregation or payments.
The first useful step is our Chip Security Act, currently included in the Senate NDAA.
Isn’t this neuralese?
Or if not the exact definition of neuralese that ppl have been using regarding CoT, then at least effectively the same end state?
If you can pass hidden states once from a large to a small model, then you can pass them multiple times between frontier models!
meet @mostik_ai!
what happens when you put 12 PhDs in one room for four months? first place on the ARC-AGI leaderboard, which I can't say much about while the competition is still running. and this, which I can.
everyone's arguing about whether open models will catch up to frontier models. we think it's the wrong question. here's the one we pose: why does a frontier model have to generate your answer at all, when the only thing you need from it is the reasoning?
we do this by enabling models to communicate in latent space. through our protocol, hidden states pass straight from a frontier model into a small one running on your infrastructure -- no text between them, and neither model is fine-tuned. two models from different families, sharing reasoning, both left untouched.
how do we know it works? we tested it on a setup where a 753B model reads the problem, and a 4B edge-class model writes the answer. with this approach, we get results 80% as accurate as the frontier model, but at 20x faster performance.
we're committed to preventing frontier model lock-in and are already partnering with inference providers to accelerate open-weight adoption. we've done this between 15 of us, in four months, 12 PhDs and a Fields medalist, backed by @generalcatalyst
WIRED has the first external account of the company and the work: wired.com/story/russian-star…
full writeup, the setup, and all the numbers: mostik.ai/read-more
