... agent execution to agent management. The tools that win may not be the ones building better agents, but the ones helping humans supervise dozens of them effectively. Comment from Alexander Bering(@alexanderbering): @aadilghani  The reason "edit vs. tell-it-to-revise vs

... proper benchmarks. The Benchmark I tested fine-tuned Qwen3 models (4B to 32B) against frontier models(Claude, ChatGPT) and base Qwen3 on general tasks, 250 prompts total. All finetuned models were trained with 500 examples, 3 epochs, LoRA rank 16. I used Perplexity to create prompts and judge independently. The observations below are based on Perplexity's evaluation. Customer Support Classification (Qwen3-4B) : The improvement compared to base model was small, but definite. Edge cases where the base model confused ... ... here. Frontier models sometimes scored lower because they were too smart, adding guideline level recommendations instead of extracting what the note actually said. The finetuned model better matched the expected extraction style, correctly distinguishing "yes" for chronic conditions vs

... r/InternetIsBeautiful , trended on r/space, and drove 50,000+ visitors to my main SaaS (Listify Studio). Why I built it: Paid tools charge $15-$60 just for a simple PDF export. I wanted to offer a High-Res (4K) alternative for free. Result: The internet rewarded the "no paywall" approach. The Tech: 100% Client-Side React (SVG rendering). $0 Server Costs (even with 50k hits). Real-time astronomy math (J2000 epoch

... encapsulation** Generates public/private key pairs and securely encapsulates a shared secret using the recipient's public key (via ML-KEM-768). The recipient recovers the exact same shared secret using their private key. Keys are tied to short temporal epochs (5-minute duration by default) and automatically rotated when a new epoch

... your own configuration for training, follow this format in the demo: model: resnet18 (more models coming soon) dataset: source: torchvision (only torchvision models supported right now) name: CIFAR10 (or MNSIT) mode: train device: auto setup: quick (for 2 epochs, or 5 for full training) i would love your thoughts and gather your feedback so that refrakt can be a better product for people ...

... busmark_w_nika   @sentry_co  Thanks a lot, have insights after this messages! Comment from Nika(@busmark_w_nika): Maybe @sentry_co could have his say? Comment from Andr J(@conduit_design): @busmark_w_nika  Every epoch has its own conditions. What worked in 2020 doesnt work anymore. So most advice on the internet is obsolete as they are usually based on previous epochs