
Formerly BW Fellow @penn_state, On-Chain Intelligence @krakenfx | Quant Wizard | Advisor @ https://xitter.cf/t.co/KL3iA0pG3j | DeFi, Risk Management, NLP/ML, Cryptography, etc.
Pennsylvania, USA
Joined August 2016
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a developer just put $2,000 in bitcoin on a server with the PHP vulnerability and dared the entire internet to steal it
17 hours later the money is still there
people are crashing the server but nobody can actually pull off the exploit
remember when i posted about marcus hutchins calling out all those fake AI-generated exploits on github? this is the proof
the vulnerability is real. but actually using it is a completely different story
$2,000 sitting on a broken server and the whole internet can't touch it
"i work at one of the big 3 AI labs"
Replying to @jakemintz @Suhail
Hi Jake - i work at one of the big 3 AI labs. I can assure you - it’s 100x worse than anyone is telling you truthfully. We had to patch a major energy security flaw on 3 grids in the US this week alone. This will never leave the lab’s walls - but I’m brave enough to say it. We are about 3-5 days away from a potential 20% blackout of energy in the US.
Mish retweeted
if you have a qwen3.5 4b around, please try steering neurons L14 N8949 +1 and L13 N7956 -1
now you have evil qwen
recipe: dose × median(‖resid‖ leaving layer L, tokens 1:) / ‖W_down[:, n]‖` at the down_proj at every input
Mish retweeted
* tapping the card *
Spent the last 2 weeks in Canada, and it's immediately clear why America will keep its competitive advantage forever.
Don't get me wrong, I love Canada! It's beautiful out here, and the people themselves are also lovely.
But! There is a serious lack of ambition, and an enormous amount of averseness to risk in a way that is not really fixable imo
Mish retweeted
Holy moly... this new paper finds that 88% of VC-backed founders receive zero exit value 🤪🤪🤪
Mish retweeted
Kimi K3.1 Pro launches at 4th on the Artificial Analysis Intelligence Index scoring 55, making large gains in agentic performance; it will be the leading open-weights model once its weights are published
@Kimi_Moonshot's new reasoning model gains 11 points over Kimi K3 (max, 44). It trails only Claude Opus 5.5 (max with fallback, 58), Claude Sonnet 5.5 (max with fallback, 56), and Muse Wonder Full (max, 56) on the Intelligence Index.
Once the weights for K3.1 Pro are released it will be the highest-scoring open weights model and the gap between the leading open weights and proprietary models on the Intelligence Index will narrow from 12 points to 3.
Key results:
➤ Large gains in agentic performance: Kimi K3.1 Pro scores 3rd on GDPval-AA with 1,846 Elo, up 312 Elo from Kimi K3, behind only Claude Opus 5.5 (1,866 Elo) and Muse Wonder Full (1,857 Elo). Kimi K3.1 Pro also achieves the highest score of any model on Terminal-Bench 4.0. K3.1 Pro scores 67%, up from 13% for Kimi K3 and ahead of Claude Sonnet 5.5 (64%). AutomationBench-AA, which tests agentic SaaS workflows, rises from 58% to 73%.
➤ Gains in other evals are more moderate: Humanity's Last Exam rises from 47% to 52%, CritPt from 23% to 25%, and SciCode from 59% to 61%. AA-Omniscience Index rises from 20 to 30, as the hallucination rate falls from 53% to 44% and accuracy rises from 48% to 51%.
➤ Cost per Task roughly equal to Kimi K3 at $1.98 per Task: K3.1 Pro uses 55K output tokens per Intelligence Index task, 14% more than Kimi K3 at 48K, while its first-party token prices are 33% lower.
Additional model details:
➤ Context window: 1M tokens.
➤ Size: 2.8T total, 104B active parameters
➤ Input modalities: Text and image
➤ Weights and license: Weights currently not published, Moonshot is expected to release the weights soon after launch
➤ Pricing: $2/$10/$0.20 per 1M input/output/cache hit tokens, 33% lower than Kimi K3 on all three rates.
Congratulations to the team at @Kimi_Moonshot on the release!































