The best Hacker News stories from All from the past day
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3K free SVG icons for popular brands
Pivotal Tracker will shut down
Nintendo Files Suit for Infringement of Patent Rights Against Pocketpair, Inc
GitHub notification emails used to send malware
GitHub notification emails used to send malware
Have you ever seen soldering this close? [video]
FTC: Vast Surveillance of Users by Social Media and Video Streaming Companies
Comic Mono
Comic Mono
Scramble: Open-Source Alternative to Grammarly
Independent directors of 23andMe resign from board
Is Tor still safe to use?
Is Tor still safe to use?
Why wordfreq will not be updated
Why wordfreq will not be updated
Apple mobile processors are now made in America by TSMC
Launch HN: Silurian (YC S24) – Simulate the Earth
Hey HN! We’re Jayesh, Cris, and Nikhil, the team behind Silurian (<a href="https://silurian.ai">https://silurian.ai</a>). Silurian builds foundation models to simulate the Earth, starting with the weather. Some of our recent hurricane forecasts can be visualized at <a href="https://hurricanes2024.silurian.ai/">https://hurricanes2024.silurian.ai/</a>.<p>What is it worth to know the weather forecast 1 day earlier? That’s not a hypothetical question, traditional forecasting systems have been improving their skill at a rate of 1 day per decade. In other words, today’s 6-day forecast is as accurate as the 5-day forecast ten years ago. No one expects this rate of improvement to hold steady, it has to slow down eventually, right? Well in the last couple years GPUs and modern deep learning have actually sped it up.<p>Since 2022 there has been a flurry of weather deep learning systems research at companies like NVIDIA, Google DeepMind, Huawei and Microsoft (some of them built by yours truly). These models have little to no built-in physics and learn to forecast purely from data. Astonishingly, this approach, done correctly, produces better forecasts than traditional simulations of the physics of our atmosphere.<p>Jayesh and Cris came face-to-face with this technology’s potential while they were respectively leading the [ClimaX](<a href="https://arxiv.org/abs/2301.10343" rel="nofollow">https://arxiv.org/abs/2301.10343</a>) and [Aurora](<a href="https://arxiv.org/abs/2405.13063" rel="nofollow">https://arxiv.org/abs/2405.13063</a>) projects at Microsoft. The foundation models they built improved on the ECMWF’s forecasts, considered the gold standard in weather prediction, while only using a fraction of the available training data. Our mission at Silurian is to scale these models to their full potential and push them to the limits of physical predictability. Ultimately, we aim to model all infrastructure that is impacted by weather including the energy grid, agriculture, logistics, and defense. Hence: simulate the Earth.<p>Before we do all that, this summer we’ve built our own foundation model, GFT (Generative Forecasting Transformer), a 1.5B parameter frontier model that simulates global weather up to 14 days ahead at approximately 11km resolution (<a href="https://www.ycombinator.com/launches/Lcz-silurian-simulate-the-earth">https://www.ycombinator.com/launches/Lcz-silurian-simulate-t...</a>). Despite the scarce amount of extreme weather data in historical records, we have seen that GFT is performing extremely well on predicting 2024 hurricane tracks (<a href="https://silurian.ai/posts/001/hurricane_tracks">https://silurian.ai/posts/001/hurricane_tracks</a>). You can play around with our hurricane forecasts at <a href="https://hurricanes2024.silurian.ai">https://hurricanes2024.silurian.ai</a>. We visualize these using [cambecc/earth] (<a href="https://github.com/cambecc/earth">https://github.com/cambecc/earth</a>), one of our favorite open source weather visualization tools.<p>We’re excited to be launching here on HN and would love to hear what you think!
Show HN: Void, an open-source Cursor/GitHub Copilot alternative
Hey HN, I'm Andrew, one of the creators of Void. I made this open source version of Cursor where you can get all of Cursor's core features but in a fully-customizable IDE (ctrl+k, ctrl+L). We love Cursor but there are so many other features we want to build, like allowing AI to edit multiple files at once, or giving AI better understanding of your file system. Void is the open-source, fully customizable tool we've been wanting.<p>The hard part: we're building Void as a fork of vscode. The repo has great documentation for extensions, but going deeper gets pretty involved. All of the code is OOP-based, and they mount DOM nodes the old-school way (which is what React was supposed to solve..). So adding new UI features isn't exactly trivial. Microsoft also made its extension marketplace closed-source so we (and Cursor) have to hack our way through it. One thing we're excited about is refactoring and creating docs so that it's much easier for anyone to contribute.<p>The other benefit of open source is we don't need to hide how our prompts are built, so we can transfer the private API logic that Cursor has right onto your local machine. This lets you host a model on-prem and have your data stay completely private. It also means you can go directly to LLM providers (OpenAI, Anthropic) instead of going through us as a middleman.<p>There's still a lot to build, and full disclosure, we are very early stage. But we're super excited about building and have a working prototype that we're quickly adding features to.<p>Let us know if there's anything you want to see in a Cursor-style editor. Or feel free to shoot us a pull request. Cheers!
Rga: Ripgrep, but also search in PDFs, E-Books, Office documents, zip, etc.
Rga: Ripgrep, but also search in PDFs, E-Books, Office documents, zip, etc.