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Top stories from https://news.ycombinator.com (with 100+ score) Contribute to the development here: https://github.com/phil-r/hackernewsbot Also check https://t.me/designer_news Contacts: @philr
Starship Flight 5 license issued by FAA (🔥 Score: 155+ in 2 hours)
Link: https://readhacker.news/s/6g9HK
Comments: https://readhacker.news/c/6g9HK
How I Animate 3Blue1Brown (🔥 Score: 155+ in 2 hours)
Link: https://readhacker.news/s/6g95V
Comments: https://readhacker.news/c/6g95V
Bug, $50k how Zendesk left a backdoor in Fortune 500 companies (🔥 Score: 150+ in 2 hours)
Link: https://readhacker.news/s/6g8Yd
Comments: https://readhacker.news/c/6g8Yd
Kagi Snaps (Score: 150+ in 14 hours)
Link: https://readhacker.news/s/6g7sN
Comments: https://readhacker.news/c/6g7sN
AMD's Turin: 5th Gen EPYC Launched (Score: 153+ in 8 hours)
Link: https://readhacker.news/s/6g7Xe
Comments: https://readhacker.news/c/6g7Xe
An exoskeleton let a paralyzed man walk, then its maker refused repairs (Score: 150+ in 9 hours)
Link: https://readhacker.news/s/6g7tA
Comments: https://readhacker.news/c/6g7tA
Initial CUDA Performance Lessons (Score: 150+ in 16 hours)
Link: https://readhacker.news/s/6g5DF
Comments: https://readhacker.news/c/6g5DF
Valve says Steam users don't own a thing, GOG says its games can't be taken away (Score: 151+ in 5 hours)
Link: https://readhacker.news/s/6g7bp
Comments: https://readhacker.news/c/6g7bp
"Bad Apple" in Minecraft (Score: 153+ in 1 day)
Link: https://readhacker.news/s/6g2zt
Comments: https://readhacker.news/c/6g2zt
Working from home is powering productivity (🔥 Score: 156+ in 2 hours)
Link: https://readhacker.news/s/6g7ka
Comments: https://readhacker.news/c/6g7ka
How long til we're all on Ozempic? (🔥 Score: 158+ in 3 hours)
Link: https://readhacker.news/s/6g6FH
Comments: https://readhacker.news/c/6g6FH
Bridge to Nowhere (❄️ Score: 152+ in 2 days)
Link: https://readhacker.news/s/6fWSi
Comments: https://readhacker.news/c/6fWSi
Manifest v2 is now removed from Chrome canary (🔥 Score: 153+ in 2 hours)
Link: https://readhacker.news/s/6g6bL
Comments: https://readhacker.news/c/6g6bL
A Lisp compiler to RISC-V written in Lisp (Score: 151+ in 4 hours)
Link: https://readhacker.news/s/6g5RS
Comments: https://readhacker.news/c/6g5RS
Could we build a computer designed to last at least fifty years? (2021) (❄️ Score: 150+ in 4 days)
Link: https://readhacker.news/s/6fPXk
Comments: https://readhacker.news/c/6fPXk
Swarm, a new agent framework by OpenAI (Score: 150+ in 18 hours)
Link: https://readhacker.news/s/6g7Vx
Comments: https://readhacker.news/c/6g7Vx
Psilocybin Bests SSRI for Major Depression in First Long-Term Comparison (🔥 Score: 153+ in 3 hours)
Link: https://readhacker.news/s/6g8Xw
Comments: https://readhacker.news/c/6g8Xw
Google is preparing to let you run Linux apps on Android, just like Chrome OS (Score: 150+ in 8 hours)
Link: https://readhacker.news/s/6g8rN
Comments: https://readhacker.news/c/6g8rN
Show HN: I made a URL expander because short links are too mainstream (❄️ Score: 151+ in 3 days)
Link: https://readhacker.news/s/6fUMZ
Comments: https://readhacker.news/c/6fUMZ
Run Llama locally with only PyTorch on CPU (❄️ Score: 150+ in 4 days)
Link: https://readhacker.news/s/6fSuN
Comments: https://readhacker.news/c/6fSuN
The science behind on-the-wrist blood pressure tracking (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6g2Sw
Comments: https://readhacker.news/c/6g2Sw
Started a guide to writing FUSE filesystems in Python (Score: 150+ in 7 hours)
Link: https://readhacker.news/s/6g6Uz
Comments: https://readhacker.news/c/6g6Uz
Understanding the Limitations of Mathematical Reasoning in LLMs (Score: 153+ in 12 hours)
Link: https://readhacker.news/s/6g5RD
Comments: https://readhacker.news/c/6g5RD
Conway's Gradient of Life (❄️ Score: 150+ in 2 days)
Link: https://readhacker.news/s/6fWDM
Comments: https://readhacker.news/c/6fWDM
Lm.rs: Minimal CPU LLM inference in Rust with no dependency (Score: 152+ in 5 hours)
Link: https://readhacker.news/s/6g6Cq
Comments: https://readhacker.news/c/6g6Cq
Show HN: FinetuneDB – AI fine-tuning platform to create custom LLMs (❄️ Score: 150+ in 2 days)
Link: https://readhacker.news/s/6fXDi
Comments: https://readhacker.news/c/6fXDi
Hey HN! We’re building FinetuneDB (https://finetunedb.com/), an LLM fine-tuning platform. It enables teams to easily create and manage high-quality datasets, and streamlines the entire workflow from fine-tuning to serving and evaluating models with domain experts. You can check out our docs here: (https://docs.finetunedb.com/)
FinetuneDB exists because creating and managing high-quality datasets is a real bottleneck when fine-tuning LLMs. The quality of your data directly impacts the performance of your fine-tuned models, and existing tools didn’t offer an easy way for teams to build, organize, and iterate on their datasets. We’ve been working closely with our pilot customers, both AI startups and more traditional businesses like a large newspaper, which is fine-tuning models on their articles to automate content generation in their tone of voice.
The platform is built with an end-to-end workflow in mind, from dataset building, fine-tuning, serving, and evaluating outputs. The centerpiece is a version-controlled, no-code dataset manager where you can upload existing datasets in JSONL, use production data, or collaborate with domain experts to create high-quality datasets for custom use cases. We also offer evaluation workflows that allow non-technical contributors to annotate data, review model outputs, and refine responses (LLM-as-judge also available).
We offer:
- A free tier for developers and hobbyists who want to streamline dataset management.
- Business-tier with full feature access for teams, using per-seat pricing.
- A custom tier for model hosting, custom integrations, and self-hosting.
Most users still use OpenAI models, but if you're working with open-source LLMs, we offer pay-as-you-go pricing for serverless inference for Llama and Mistral models with up to €100 in free credits to get started.
We're in public beta right now, so any feedback—whether it’s about features, usability, or anything else—would be incredibly valuable.
If you've worked on fine-tuning models before or are curious about custom LLMs, we’d love to hear from you. Our goal is to make the fine-tuning process more accessible and help more companies leverage their data and domain experts to create custom LLMs.
Thanks for checking it out!
Nobel Peace Prize for 2024 awarded to Nihon Hidankyo (Score: 155+ in 8 hours)
Link: https://readhacker.news/s/6g5xK
Comments: https://readhacker.news/c/6g5xK
Scuda – Virtual GPU over IP (❄️ Score: 151+ in 2 days)
Link: https://readhacker.news/s/6fX8d
Comments: https://readhacker.news/c/6fX8d
Command Line Tools I Like (2022) (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6fYsw
Comments: https://readhacker.news/c/6fYsw
Designing a Fast Concurrent Hash Table (Score: 151+ in 1 day)
Link: https://readhacker.news/s/6g2Bm
Comments: https://readhacker.news/c/6g2Bm