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"Maybe later" was a feature
Too many people become too capable without asking permission
Ask HN: Time loop and partial blackhole?
Hello. I am a 9th grade student from India. AI was used only for grammar correction. These are my own questions. I am confused about two concepts: 1. Second Law of Thermodynamics: It states that the entropy of an isolated system increases. Decreasing entropy requires work. Does this imply that while time dilation from General Relativity can cause time to pass slower, time can never run backwards, as that would require a spontaneous decrease in entropy? 2. General Relativity: Time passes slower i
Games Between Programs: The Ruliology of Competition
OCaml Onboarding: Introduction to the Dune build system
Leap in DNA synthesis slashes time to build new genetic sequences
Show HN: Hitoku Draft – Context aware local assistant
Hi guys. I have been working on Hitoku Draft, an open-source, voice-first AI assistant that runs entirely locally. I posted about it already, and now it has also transcription with voice editing. Looking for feedback, as I found that outside tech circles other people still do not use this tech much. It's context-aware, in the sense that it reads your screen, documents, and active app to understand what you're working on. You can ask about PDFs, reply to emails, create calendar events, use web se
Airlines Uses AI to Fake Empathy Rather Than Fix Problems: Passenger Sent Prompt
The desperation of NYTimes
Fedora 43 Upgrade revealed 20 years old Outlook Security Bug
12,060 piece, $799.99, Sagrada Família is the largest Lego building set to date
When AI Builds Itself: Our progress toward recursive self-improvement
Do the Hardest Thing
Dreaming: Better memory for a more helpful ChatGPT
Retro-Tech Parenting
Several Injured in Boeing 787 Nose-Gear Collapse in Frankfurt
Speculative KV coding: losslessly compressing KV cache by up to ~4×
Show HN: I embedded 685M public texts in 32 minutes (on 8x A100, Rust, TensorRT)
Quick note on how it works and how I've done my batch embedding engine IgniteMS. The whole thing runs as one process using Rust, reading input, tokenizing, packing batches, keeping the queue full. TensorRT handles inference. Python is only as a wrapper. I built it this way because when you use more than couple of GPUs, the GPUs stop being the problem. CPU cannot feed them fast enough. One A100 can go through batches faster than Python can tokenize and feed, so the GPU just sits there idle waitin