Rishi Khare @rishiskhare
Building tools for AI devs @nvidia · Berkeley CS · Sharing what I'm learning rishiskhare.com UC Berkeley Joined January 2015-
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I'm surprised by this - does it really perform as good as Opus when you use it within the Claude Code harness? For these long-horizon planning and agentic coding tasks, nothing has come close to Opus on CC for me. I contributed to this repo: github.com/Alishahryar1/f… and I still come back to Opus
@ZackKorman Someone release something to the public already 😆
@ZackKorman Which data sources are your agents able to pull from and in your experience, which data source has been the most valuable in this triage process?
@swyx Definitely a leg up from the “startup in a garage” circa apple and google
@ZackKorman Idk, I interviewed with the team last fall, so pre-openclaw (article seems to be before then as well). Most of the industry work on this seems to be proprietary and closed-source, but this triage project is OSS on GitHub
It definitely could help with triage and evidence collection IMO (great work on multi-agent systems from NVIDIA and IBM on this), but the case for actually performing a classification for a rare occurrence still seems to be a hard problem that throwing tokens & compute wouldn’t solve.
@ZackKorman Intent detection as well - scaling compute/tokens still wouldn’t solve the problem of determining if an access pattern is adversarial or not without fundamentally new approaches or new data.
100% agree on the Context Hub. Developers constantly tweak their approaches to manage context in their prompts with each new model and tool suite release. I would even say that the core problem we face is a "Config Hub" problem - different configurations of models, harnesses, and data augmentation techniques are making managing agents in prod much more brittle and difficult.
You mentioned that S-GFN avoids getting stuck in 'gibberish' local optima. In your qualitative analysis, did the model find any attacks that were linguistically creative (e.g., roleplay or logic traps) rather than just technical bypasses? I’d love to know if the diversity metric translates to semantic diversity or just token diversity.
Excited to share that my ICLR 2026 Oral Talk for GEPA is available on YouTube. I go deeper into why GEPA works better than prior optimization techniques, along with touching on many aspects of GEPA! youtu.be/HbGah-uP1fI
Thrilled to present GEPA as an Oral Talk and Poster at ICLR 2026 this Friday in Rio! 🇧🇷 Apr 24 Oral Session 3A (Agents), 10:30 AM BRT, Amphitheater Poster Session 4, 3:15 PM, Pavilion 3 x.com/LakshyAAAgrawa… Let's recap what's happened since we released GEPA last year 🧵
@foreverinflamed @mil000 @grok x.com/grok/status/20…
@rishiskhare @mil000 Tavily edges out as the best all-around Exa alt for AI agents/RAG — better pricing, quality, and LangChain support in most 2026 benchmarks. For open source/self-hosted: Firecrawl. Fully OSS crawling + extraction that turns sites into clean LLM-ready markdown.
@ZackKorman I'm a college student bro 😂
Nancy S @Hatice26451092
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Robert Scoble @Scobleizer
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rw ./ @gradientintern
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Hexx ./ @HexxRL
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Venkat — inference ... @venkat_systems
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piyush メ @TheEigenNerd
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74 Followers 116 Following building Skiri—AI skin tracker. help you know why you have acne and allergies. You're NOT Alone. get on the waitlist https://t.co/0mu4rQErVv. launching very soon.
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Regina Lin @reggitales
3K Followers 605 Following context infra + self improving agents @dexbythirdlayer dropped out @harvard math + cse
Kiana Ehsani @ehsanik
10K Followers 618 Following Making models smarter @ Anthropic, formerly CEO and Co-Founder @ Vercept (acquired by Anthropic), Climber on the weekends. Opinions are my own.
Jitendra MALIK @JitendraMalikCV
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DailyPapers @HuggingPapers
19K Followers 4 Following Tweeting interesting papers submitted at https://t.co/rXX8x0HzXV. Submit your own at https://t.co/QhbJKXBd4Q, and link models/datasets/demos to it!
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62K Followers 292 Following 24th at the Electrica puzzle challenge | building https://t.co/baTQS2bL7I | engineer @huggingface
swyx @aiDotEngineer W... @swyx
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rw ./ @gradientintern
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Venkat — inference ... @venkat_systems
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