Suha @suhackerr

Disclaimer: The views expressed here are solely my own and do not reflect the views of my employer or any organization I am or was affiliated with suhacker.ai Joined August 2017

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Trail of Bits @trailofbits

7 hours ago

We beat Google's quantum circuit again, and we didn't have to forge a proof this time. Today we're releasing trailmix, a toolkit for quantum "kickmix" circuits. It includes 5 new circuits we built for elliptic curve addition, the hardest part of Shor's algorithm.

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Gabe Pereyra @gabepereyra

10 hours ago

Obscure Docs: Detect and debug corrupted uploaded documents without opening them - fixing parser failures at scale while preserving Harvey’s security commitments.

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Gabe Pereyra @gabepereyra

10 hours ago

Last week we held Harvey Hacks, our internal hackathon. 27 projects total across our 200-person eng team. Wanted to highlight a few hackathon projects:

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Harvey @harvey

2 days ago

We partnered with @FireworksAI_HQ to train open-source models for legal. Here's what we found: 1) Hybrid legal agents can beat frontier models on quality and cost by routing selectively to a frontier advisor. We tested a hybrid setup where GLM 5.1 served as the primary worker, routing tasks to Opus 4.7 as an advisor when needed. GLM invoked Opus sparingly, just 0.83 times per task on average. The hybrid setup beat Opus on both quality and cost: 18% all-pass vs 14%, at $368 vs $954 across the same 100 tasks. 2) Post-training can push open models to frontier-level legal performance. On a 100-task slice of our Legal Agent Benchmark (LAB), SFT moved Kimi 2.6's all-pass rate from 11% to 15%, beating Opus' 14%. But the cost gap was even more striking: $84 vs $954 across the same 100 tasks, or ~11x cheaper. We're excited to continue working with @FireworksAI_HQ on the next generation of open-source legal agents.

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Edward Z. Yang @ezyang

a week ago

A common informal usage of torch.compile is to generate Triton code which people then copy paste into their codebase. github.com/meta-pytorch/e… is an experiment to put a nice API around this workflow. Curious to see if it will get any traction!

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Gabe Pereyra @gabepereyra

a week ago

x.com/i/article/2059…

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Tyler Sorensen @Tyler_UCSC

2 weeks ago

Check out this awesome work led by @reeselevine and many other great ucsc students! There was so much work to make this run interesting models across many systems! Check it out (and try out the demos in the blog post!)

Reese Levine @reeselevine

2 weeks ago

WebGPU support in llama.cpp is here! Check out our blog post introducing it: reeselevine.github.io/llamas-on-the-… Run local models in your browser, with GPU acceleration. No data leaves your computer! Thanks to everyone who's made this possible, especially @ggerganov

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Reese Levine @reeselevine

2 weeks ago

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Suha @suhackerr

2 weeks ago

@reeselevine @ggerganov awesome work!!!!!

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Pepe Vila @cgvwzq

3 weeks ago

probably a good time to revisit this blog.trailofbits.com/2020/05/21/rei…

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Harvey @harvey

3 weeks ago

x.com/i/article/2054…

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V12 @v12sec

3 weeks ago

another day, another universal linux LPE

V12 @v12sec

4 weeks ago

0e78b6737119a3141e466464ee2748eb84a61750958d0cb5824febbdadd875be poc.c

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V12 @v12sec

3 weeks ago

this is a dirtyfrag variant. PoC and patch: github.com/v12-security/p…

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Suha @suhackerr

3 weeks ago

@michaelryan207 @lateinteraction @KnightHennessy congratulations!!

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Dave Aitel @daveaitel

4 weeks ago

Counterpoint: if you throw a rock in a random direction at Defcon or Blackhat you will hit someone with a blue belt or above in BJJ

Link @_Link_

4 weeks ago

This is why you can’t mass produce special operations. The percentage of guys with 130+ IQ who enjoy both books and bar fights is incredibly small.

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Dino A. Dai Zovi @dinodaizovi

4 weeks ago

@dyn___ @anton_chuvakin I think of exploitable vulnerabilities as a natural resource like oil, minerals, etc. There are varying densities of proven reserves in various codebases and "mining" technology improvements make discovering and exploiting deeper vulns viable. They'll just keep getting rarer.

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@

4 weeks ago

Grateful to @neal_katyal and his @MilbankLaw team for trusting us to help them prep for such an important case. So many great lawyer<>AI collaboration tips in @neal_katyal's Ted talk. Don't parrot the stochastic parrot; stay engaged. Find the human connection.

Harvey @harvey

4 weeks ago

How does a seasoned Supreme Court lawyer prepare for the biggest case of his life? Using Harvey. Read how Harvey supported @neal_katyal in refining his arguments before the Supreme Court and how we are bringing those tools to law schools with Harvey Moot: harvey.ai/blog/the-supre…

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Tinfoil @TinfoilAI

4 weeks ago

We got a lot of demand for a Tinfoil Rust SDK. In fact, it’s been a TODO post-it on our wall for over a year! The reason it took this long was that we had to implement a Sigstore verifier for client-side supply chain verification and work around the lack of official libraries:

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Anjney Midha @AnjneyMidha

a month ago

had a jane street interview in 2013 on the way there, i run into a dog. the dog is hurt. i stop to help it but am an hour late to the interview i arrive at the office. the dog is my interviewer. i sigh with relief. surely i'm hired. 'you didn't get the job' the dog says 'reason: ineffective altruism. you failed to realize that arriving on time, earning $500k/year as a junior trader, and donating 10% to shrimp welfare would have prevented approximately 4 million shrimp-hours of suffering. you saved one dog. me. a dog with negligible moral weight relative to the marginal bednet.' i open my mouth. 'also i wasn't hurt. it was a trolley problem. you pulled the wrong lever.' i nod. it is true. dogs are not a givewell top charity. the dog slides a pamphlet across the desk. it says 80,000 hours. 'have you considered earning to give' i start to cry. the dog does not update on this. the dog has read the sequences. 'one more thing,' the dog says. 'the dog you saved. that was also me. i contain multitudes. specifically, i contain a counterfactual in which you arrived on time and we are currently shaking hands. that version of you is now my colleague. he tips well at lunch.' i leave the building. on the sidewalk, another dog is hurt. i keep walking. i have learned. the dog yells after me, 'WRONG. THAT ONE WAS REAL' - written by Claude 4.7 (Adaptive)