A lab for the deeply curious.

Bengaluru, India
Joined January 2025
Oh hello, you curious person! 👋
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Look ma, two new exoplanet candidates found via AI! 🔭
I may have found two new Earth-sized planets in our galaxy this morning! Inspired by yesterday's reddit thread on how someone used Claude Code to find a new planet, I spent this morning searching NASA TESS data on nearby stars that TESS scanned less thoroughly (at low cadence). To my surprise the pipeline discovered two previously undocumented exoplanet candidates: • TIC 370612437 (Cygnus constellation, 158 light-years): dims by 0.02% every 3.56 days → ~1.0× Earth's size. • HIP 114417 (Andromeda constellation, 134 ly): 0.03% every 4.93 days → ~1.1× Earth. The method to find them is to search for periodic dims in light coming from a star when a planet passes in front of it. For both the candidate exoplanets, the dip repeats 55 and 21 times respectively across 4 separate observing years (2019-2024). These are obviously tentative and unconfirmed, but several signals point to them being credible candidates: • same dip in NASA's and MIT's separate processing of the images • hide one year's dip and predict its times from rest of the dips (matched in 3 of 4 years) • flip light curves to create fake signals and validate observed dips against it The method and results were reviewed by independent agents: Codex and fresh Claude. Important caveat: a faint neighbouring pair of eclipsing stars could fake the dip, so these exoplanets remain candidates pending further verification. What's next: report to NASA's ExoFOP as Community TESS Objects of Interest, so astronomers can verify. The next scan of these stars via TESS will happen in Aug 2027 - Apr 2028, if the preregistered dip predictions hold up, these are indeed strong candidates. Nicknames for these exoplanets: Aakanksha (Sanskrit: aspiration) and Orbit (well, Orbit)
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Some exciting updates! A bunch of @lossfunk residents have raised funding + a few Lossfunk incubated companies have received $25k each in Google Cloud compute credits. More details below 👇 --- @HariAyapps, who's building @archgen_, got into YC W26 🥳🥳 Residents who started building at Lossfunk got into @join_ef S26: the @oruel_inc team (@chastronomic, @prb5h, @nihipap) and @suryamaddula_ building @WhisperwaveAI Former Lossfunk researcher @harshablast started Dirac Robotics as part of @join_ef S26 --- A total of $175,000 in compute credits has already been disbursed to 7 Lossfunk-incubated companies, and 9 more are in the process of receiving them. Thanks, @googlecloud, for the credits. • athenaagent: @sachdh • attenor: @ViraajG1 • autr: @V_J_S_1 • fpvlabs: @levelheaded_94 • grit: @timbresociety • prometei: @navbenny • scoutfox
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Our applications for residency are open: lossfunk.com/residency/
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💥 New Paper! Models are trained not to change their answers just because a user disagrees. But when the same wrong claim comes from a “verified source,” they give in. We call this Authority Bias. Accepted at NeurIPS 2026. 🧵
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5/ Our main takeaway is that a model that resists users can still defer to a misleading source, so sycophancy evals should test both. Work led by @MajorTimbWlf21 and @paraschopra. We thank @jarvislabs for the compute used for this project! Tagging folks whose work we build upon and might find this interesting: @t1ngyu3 @Jack_W_Lindsey @maksym_andr @nathan84686947 @Nmndsingh @Singh_Aditya1 @NinaPanickssery
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Stay curious :)
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Welcome Co-host @lossfunk ❤️ Due to insane registration from u all, I cold dmmed @paraschopra to request for office space and guess what, he said yes❤️‍🔥 So, we are CoHosting Jev buildathon at Lossfunk office, this Sunday, the coolest event in town at the coolest venue. Link 🔽
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neurips baby lesgooo 🔥🥰 preprint coming soon!
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Lossfunk retweeted
2/2 at NeurIPS 2026! 🎉 With the Eval & Datasets decisions out, both papers I first-authored earlier this year with @lossfunk are in. Feels really special to see both make it through. Huge congrats to my co-authors and to everyone else with accepted work! More details soon :)
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Lossfunk retweeted
Replying to @lossfunk
@lossfunk having a generational run rn. Happy to be a part of it
🥳 Excited to share that @lossfunk got 4 papers into NeurIPS main conference. Please join me in congratulating the authors! Aman @arcaman07, ⁠Sushrut @martisamuser, ⁠Abhinav @MajorTimbWlf21, Pranav - @Avg_sapient First authors are all undergrads :)
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🎉 We got 4 papers into NeurIPS main conference. Congrats Aman @arcaman07, ⁠Sushrut @martisamuser, ⁠Abhinav @MajorTimbWlf21, Pranav @Avg_sapient, and Paras @paraschopra First authors for all papers are undergrads. Cheers for curiosity 🚀
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Read the papers here 👇 • Hybrid Neural World Models arxiv.org/abs/2605.28317 • Frontier Coding Agents Use Metaprogramming to Adapt to Unfamiliar Programming Languages arxiv.org/abs/2606.10933 • EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages arxiv.org/abs/2603.09678 • Verified-Source Authority Is Not Generic Sycophancy: Cue-Family Decomposition of LLM Compliance lossfunk.com/papers/Verified…
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We turn two today 🥳🎉🚀
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We obsess about the future, and keep thinking about the asymptotes. Hence, looking at the reality of AI capabilities today, we’ve decided to make a few changes to how we work. • Expanding the scope of the lab beyond AI • Raising the bar of human researchers we hire • Rethinking our outputs beyond publications Full post: letters.lossfunk.com/p/trave…
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🚨 Do LLMs have research taste? New paper from Lossfunk, accepted at the COLM 2026 LM4Sci workshop. Eliciting Research Taste in LLMs through Future Research Direction Choice. Highlights 🧵 below!
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6/ Work led by @dhruvtrehan9 and @paraschopra. Tagging folks whose work we build upon and might find this interesting: @KexinHuang5, @parvmahajan0, @HaokunLiu5280, @ChengleiSi @sean_n_wu, @BasselAlOmari_, @ChenhaoTan
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7/ Read the full paper on OpenReview: openreview.net/forum?id=mexJ…
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