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Stop using your agent logs just for debugging. Use them to train your own model. Today we're launching Agnost AI (YC S26)'s first model: agnost-*******-0.1 Trained for our first customer on their existing production traces & it beat the frontier: +22.9% task success −90.2% latency −94.5% cost If you... show more

shubham

3,853 subscribers

696,344 Aufrufe • vor 1 Monat •via X (Twitter)

Wissenschaft & Technologie

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47 Kommentare

Profilbild von shubham

shubhamvor 1 Monat

We're live at

Profilbild von dhruvieiei

dhruvieieivor 1 Monat

we’ve been cookinggg

Profilbild von shubham

shubhamvor 1 Monat

cooking is an understatement

Profilbild von Chen Avnery

Chen Avneryvor 1 Monat

most of my agent logs are the agent being confidently wrong and me quietly fixing it somewhere the log never sees.

Profilbild von shubham

shubhamvor 1 Monat

get agnosted

Profilbild von Saksham

Sakshamvor 1 Monat

sick, we are daily users!

Profilbild von shubham

shubhamvor 1 Monat

cardboard getting better 10% every day

Profilbild von hari_haran

hari_haranvor 1 Monat

lessgooo bois!!

Profilbild von shubham

shubhamvor 1 Monat

lfg indeed

Profilbild von William Lindholm🎂

William Lindholm🎂vor 1 Monat

Congrats on launch! The speed you’re moving st is insane!

Profilbild von Arlan

Arlanvor 1 Monat

cool

Profilbild von Alexander Ren

Alexander Renvor 1 Monat

Super cool! Also love the launch video

Profilbild von shubham

shubhamvor 1 Monat

thanks alex

Profilbild von Aneesh Panda

Aneesh Pandavor 1 Monat

this is crazy, congratulations on the launch folks!

Profilbild von nikhil · sys/quests

nikhil · sys/questsvor 1 Monat

helll yeahhh!!

Profilbild von shubham

shubhamvor 1 Monat

hell yeah indeed

Profilbild von Ziyan Karmali

Ziyan Karmalivor 1 Monat

@elonmusk you need this for @bot trust me

Profilbild von Frank Lee

Frank Leevor 1 Monat

love agnost

Profilbild von Pratyush Rai

Pratyush Raivor 1 Monat

Congrats on the launch Shubham. Wishing you the best. Looking forward to trying Agnost AI hopefully soon.

Profilbild von Harsh Savergaonkar

Harsh Savergaonkarvor 1 Monat

insane!! lessgoooo 🤯

Profilbild von Ajit Sadalagi

Ajit Sadalagivor 1 Monat

@Scobleizer I wish there was a way to train the model on the fly. Every time I acquire new data or knowledge, the model should be trained within a few minutes.

Profilbild von Agrit Tiwari

Agrit Tiwarivor 1 Monat

🔥

Profilbild von Bek

Bekvor 1 Monat

Congrats, best team

Profilbild von annaaa

annaaavor 1 Monat

lessgoooo 🚀

Profilbild von shubham

shubhamvor 1 Monat

lfg indeed

Profilbild von Hasan (3dblur)

Hasan (3dblur)vor 1 Monat

bangers

Profilbild von Danylo Borodchuk

Danylo Borodchukvor 1 Monat

Fire

Profilbild von Chetan

Chetanvor 1 Monat

Lfggg!!!

Profilbild von shivansh

shivanshvor 1 Monat

no wayyyy 🤯🤯 this is sooo goodd

Profilbild von shubham

shubhamvor 1 Monat

thanks joshi

Profilbild von sam

samvor 1 Monat

Okei

Profilbild von Hai Ta

Hai Tavor 1 Monat

This is very cool congrats on the launch!!

Profilbild von shubham

shubhamvor 1 Monat

thanks hai ta!

Profilbild von harsh

harshvor 1 Monat

Fire!!🔥

Profilbild von Vir

Virvor 1 Monat

the team is cooking hard

Profilbild von aman

amanvor 1 Monat

So cool! Congrats on the launch guys 🚀

Profilbild von shubham

shubhamvor 1 Monat

thanks aman

Profilbild von fj_nm | AI Systems & Automation

fj_nm | AI Systems & Automationvor 1 Monat

Production traces are already the best training set most teams ignore. Logs stop being waste and become the moat. Curious how you filter noisy traces before fine-tune — that step decides if the model learns your process or your bugs.

Profilbild von Parvez Shaikh

Parvez Shaikhvor 1 Monat

Congrats on the launch , those latency and cost numbers are impressive. Curious to see how this scales across more use cases.

Profilbild von Parth

Parthvor 1 Monat

congrats on the launch!

Profilbild von shubham

shubhamvor 1 Monat

thanks parth

Profilbild von Ayush Pandey

Ayush Pandeyvor 1 Monat

Lesss gooo Congratulations guys!!!!

Profilbild von Nick Khami

Nick Khamivor 1 Monat

lfg

Profilbild von shubham

shubhamvor 1 Monat

lfg indeeed

Profilbild von Anthony K

Anthony Kvor 1 Monat

Agent logs are usually buried in observability and never turned into a signal. Training on production traces makes sense. How do you avoid feedback loops when the improved agent changes the trace distribution?

Profilbild von Piyushh

Piyushhvor 1 Monat

🚀🚀🚀

Profilbild von Bhoomika

Bhoomikavor 1 Monat

lesgooo, congrats guys

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