369 stories
I built indiedex.gg, a hidden-gems game search engine on steam data. Search is the front door: type something like “a game like Hades that feels cozier and is co-op,” and it should actually understand that mix of reference + vibe + filters.
Anyone submit to a workshop at Neurips and not receive their review notification yet? 6 AM IST, the 30th of September, and I still have gotten no update!
A developer trained a JEPA world model, based on LeWorldModel research co-authored by Yann LeCun, on an RTX 3080 Ti to play Pokémon Red.
The 27B fits on the card and matches full precision at 4-bit. Flash-Next scores higher but needs 64 to 128GB of system RAM.Continue reading on Towards AI »
Liquid AI has released d1, a decision model built for structured choices instead of text generation. You give it context and a set of typed questions. It returns calibrated probabilities across a fixed set of outcomes in a single call, with zero generated tokens.
Google Cloud AI Research has open-sourced RRSI, a framework that lets LLM agents rewrite their own prompts, tools and memory while model weights stay frozen. It adds a leakage critic, a noise floor, a cost rule and pruning so gains carry over to new tasks.
Hey all, i am an aspiring Al and ML engineer. In 4th year amid my placement season and the recent ML hackthon i have decided i am way behind the crowd and competition if I dont get one of this subscription. Many of them told me claude pro is worth it and stuff.
I'm preparing a submission for CVPR and would appreciate your advice. I am happy with my current results, but compute is a real constraint. My institute isn't a research-focused one, and the systems available to me are slow and unreliable.
Any other one have applied for the Education Track? It seems they'll announce the result soon.
I’ve spent the last few months writing something I wish I had when I started working on ML performance engineering.
I got really into research a year ago during my final year of undergrad and maneged to get a first author paper accepted at Neurips 2026. It is a pretty impressive achievement obviously but my background is pretty shit lol.
Softmax has N inputs and N outputs but it's output only has N-1 degrees of freedom because of the condition that the sum of outputs must be equal to one.
I'm one of the authors of two recent papers exploring different sources of redundant computation in attention. I'd like to share the ideas and hear feedback from people working on long-context models and attention kernels.
I want to attend and present my findings in Atlanta. How is the vibe there? Are people overly critical or are people generally open-minded?
Turn a small open-source Qwen LLM into a fast, single-pass text classifier by swapping its language-modeling head The post How to Make Your Own JEV Model from an Open LLM appeared first on Towards Data Science.
A small, strange discovery in machine learning called grokking The post The AI That Learned to Understand Long After It Stopped Trying appeared first on Towards Data Science.
Detect hidden shifts in feature relationships with adversarial validation and scikit-learn The post How to Catch Data Drift When Every Feature Looks Normal appeared first on Towards Data Science.
Fireworks AI has released Ember-1, a post-trained Kimi K3 that learns to produce shorter reasoning traces instead of lowering reasoning effort. Fireworks reports about 40% fewer tokens, with output tokens per task falling from 49.3K to 29.9K in a production A/B test at an essentially unchanged…
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