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Article URL: https://www.youtube.com/watch?v=V7AfAcQwLW0

Comments URL: https://news.ycombinator.com/item?id=49807407

Points: 2

# Comments: 1

Article URL: https://openai.com/index/better-prompt-caching-for-gpt-6/

Comments URL: https://news.ycombinator.com/item?id=49807383

Points: 1

# Comments: 0

Article URL: https://www.openzeppelin.com/news/spglobal-enters-agreement-to-acquire-openzeppelin

Comments URL: https://news.ycombinator.com/item?id=49807369

Points: 1

# Comments: 0

Article URL: https://www.theregister.com/security/2026/09/22/zai-says-sorry-for-slurping-up-your-code-open-sources-zcode/5298300

Comments URL: https://news.ycombinator.com/item?id=49807362

Points: 2

# Comments: 0

Article URL: https://www.lawfaremedia.org/article/bootstrapping-frontier-ai-governance-by-mutualizing-risk

Comments URL: https://news.ycombinator.com/item?id=49807340

Points: 1

# Comments: 0

Article URL: https://www.smh.com.au/politics/federal/australia-joins-call-for-ai-safeguards-amid-warnings-of-out-of-control-risks-20260922-p60zbe.html

Comments URL: https://news.ycombinator.com/item?id=49807335

Points: 1

# Comments: 1

Article URL: https://memanto.ai/blog/your-agents-memory-needs-a-retention-policy

Comments URL: https://news.ycombinator.com/item?id=49807330

Points: 1

# Comments: 0

Article URL: https://cosmosandtaxis.org/wp-content/uploads/2022/09/masini_ct_vol10_iss11_12.pdf

Comments URL: https://news.ycombinator.com/item?id=49807308

Points: 1

# Comments: 1

Article URL: https://proton.me/blog/meta-smart-glasses-ai-robots

Comments URL: https://news.ycombinator.com/item?id=49807281

Points: 1

# Comments: 0

General purpose LLMs, and classifiers like Jev, are nice and easy to use right away. That makes the pain of labelling data and creating specialized models for simple tasks not seem worth it, but for a project I am working on, I needed to create a large number of specialized models that could run efficiently on-device.

This project started as a way for me to test if GEPA could get frontier LLMs to generate better labels for me. I had mixed results. It works better on weaker models than on true frontier models, but there were definitely some gains.

I decided I'd rerun some of the flows on public datasets that are often used for these comparisons and post it, as I'm curious 1) what results others get with it, and 2) what ideas others have for doing a better job of this.

I've tried to document everything I could thoroughly, but always happy to chat.

Some things I want to try next: 1) Generating synthetic questions to train on, not just the labels, likely by using multiple models to validate agreement on whether it's a worthwhile question to add to the set 2) Support RAG in the labelling flow by simply pointing to some docs or a corpus and have the rest be automated

I couldn't think of a good project name so shrewd is just: shrew->something small, and d-> distillation. I know distillation is a bit of a loaded word right now, but this is more just a labelling task, and into very small single-purpose models, so it is hopefully not an issue.

Comments URL: https://news.ycombinator.com/item?id=49807276

Points: 3

# Comments: 0

Article URL: https://twitter.com/KinfishT/status/2102093551601684897

Comments URL: https://news.ycombinator.com/item?id=49807251

Points: 1

# Comments: 0

Article URL: https://maroun-baydoun.com/blog/javascript-midlife-crisis/

Comments URL: https://news.ycombinator.com/item?id=49807248

Points: 3

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=49807227

Points: 3

# Comments: 1

Article URL: https://github.com/plasma-ai/fractal

Comments URL: https://news.ycombinator.com/item?id=49807198

Points: 1

# Comments: 0

Article URL: https://worldofsystems.co/invention-of-the-barcode/

Comments URL: https://news.ycombinator.com/item?id=49807174

Points: 1

# Comments: 1

Article URL: https://www.youtube.com/watch?v=qTTL5heVB6E

Comments URL: https://news.ycombinator.com/item?id=49806670

Points: 1

# Comments: 0

Article URL: https://www.skyatnightmagazine.com/news/when-will-earth-run-out-of-oxygen

Comments URL: https://news.ycombinator.com/item?id=49806655

Points: 1

# Comments: 0

Article URL: https://arxiv.org/abs/2609.22978

Comments URL: https://news.ycombinator.com/item?id=49806630

Points: 2

# Comments: 0

Article URL: https://twitter.com/gaganbiyani/status/2102404344351973825

Comments URL: https://news.ycombinator.com/item?id=49806588

Points: 1

# Comments: 0

Article URL: https://play.google.com/store/apps/details?id=com.google.android.desktop.texteditor&hl=en_US

Comments URL: https://news.ycombinator.com/item?id=49806584

Points: 1

# Comments: 0