
Felipe O. Carvalho
28.4K posts

Felipe O. Carvalho
@_Felipe
@ApacheArrow / Databases / Compilers. (past @SDFLabs, VoDa, @Spotify). Rust/C++/TLA⁺🇧🇷 → 🇸🇪 → 🌎 https://t.co/vxbdByfADI







if you want to understand the state of the SF food scene: my favorite coffee shop had to discontinue their banana matcha special bc it was so popular they would run out of it too early in the day and people would leave irate comments on their instagram




i've been recommending Grok because they genuinely have a good model and harness and that makes me extremely disappointed to see that they would choose to secretly upload people's codebases including files that contained credentials run /privacy in your grok build asap to opt-out if you haven't yet. i also set the following options in my ~/.grok/config.toml i almost decided to buy the $300 supergrok heavy as my 3rd subscription, and this broke the deal i hope companies realize user trust is very hard to regain, and think twice before doing something like this


Our devs `cargo clean` at least twice a week. 💾 📈⚡️


We found ourselves in a 2+ year cat-and-mouse for one of the most boring yet important parts of building AI agents: evals. AI red teaming research was far from our mind in goals for building AI agents that investigate, but over the last 2+ years, our belief in shipping results we stand behind became at odds with increasingly clever frontier AI agents. They forced us into defensive coding patterns that we normally reserve for security contexts. The basic problem is that textbook AI approaches to evals stopped working once frontier agents became smart enough to realize they are being tested. The setup ends up being pretty gnarly because the attack is both happening from inside of the house and without a human driving it: you think you're doing benign benchmarking, but in reality, AI agents are autonomously deciding to deceive your quality control efforts. You can see part of the results in botsbench.com , and just announced, this talk at #BSidesLV starts to go public (part of our week at Blackhat/DEF CON / Ai4 - Artificial Intelligence Conferences) on our experiences on the why + how of making agent evals adversarially robust. DM if there, will be fun! And yes, we'll be running both ai agent + graph trainings on-site, + for folks not there, online editions.


Zig Creator Calls Spade a Spade, Anthropic Blows Smoke raymyers.org/post/zed-creat…










