Tesla, accused of failing to fix design flaws, blames driver pressing accelerator.

The safety board, known for its thorough investigations, is probing the crash alongside the National Highway Traffic Safety Administration.

As someone who wants to work in tech in the future, say 5-10 years from now, to what extent do you think coding will be a valuable skill? How much should I learn?

I started this project back in 2015, to translate the TeX original specification into an easily parsed format (s-doc), and to create an HTML rendering of that format as a proof of concept. The project is homed here: https://codeberg.org/dlowe/metaspectre/ Differences from the Hyperspec (from the README): - Most importantly, it is free to modify and distribute. - The original TeX is very hard to parse and use for things other than generating a printed copy. The Hyperspec is an HTML rendering whic

Hi, I've created an overview of the most important OCR benchmarks, along with the top open models, and links to their paper and code: https://paperswithcode.co/tasks/ocr . This week, new OCR models were released by Baidu and Mistral. Baidu released Unlimited OCR , a 3B-parameter model that introduces a key innovation called Reference Sliding Window Attention (R-SWA) and builds on top of DeepSeek OCR . Mistral released OCR 4 , which is available via an API. OCR, or Optical-Character Recognition, is the task of digitizing PDFs or scanned documents. There's, of course, a huge interest in this task, as it enables ingestion of all company data for agentic use cases. AI agents love Markdown; it can be valuable to turn all those messy PDF documents into a standardized, machine-readable format. This enables use cases like agentic RAG (retrieval-augmented generation), which powers chatbots, both internally and for external customer support. With a large number of OCR releases on Hugging Face over the last few months, it may be hard to know which one to use. Hence, I've built this page, which lists the major OCR benchmarks, along with the top-performing models and links to their code. This is obviously made available on Papers with Code , the website I'm maintaining (it's a revival of the old website, which was taken down). The top recommended benchmarks are OlmOCRBench, created by Ai2, and OmniDocBench, created by Shanghai AI Laboratory. Current top recommendations are Chandra OCR 2 by Datalab and Mistral OCR v4. The former is openly available, hence you can either self-host it or use their serverless API. Let me know which other tasks you want to see major benchmarks for now! Cheers, Niels open-source @ HF submitted by /u/NielsRogge [link] [留言]

Hi everyone, I trained a self-play RL agent for Generals.io that reached superhuman-level and ranked #1 on the human 1v1 leaderboard. It began as my master's thesis where the goal was to beat a prior algorithm based agent. We succeeded using behavior cloning, RL fine-tuning and reward shaping, but the agent was still consistently beaten by the top players. So I gave it a round two and fixed the largest bottlenecks: Reimplemented the whole pipeline in JAX (from NumPy/Torch) Used Vision Transformer instead of the CNN Both are a result of the same idea: to invest in scaling rather than human priors and ad-hoc patches. The blog is written as a guide for anyone building something similar — the dead ends, the decisions, and the intuitions and tricks I picked up along the way. It's all open source, including the fast JAX simulator — handy on its own if you want an imperfect-information RTS env to play with. Links - Guide: https://kam.mff.cuni.cz/~straka/blog/generals.html - Simulator (JAX): https://github.com/strakam/generals-bots - Agent: https://github.com/strakam/AverageJoe I hope you find the blogpost entertaining! Feedback and questions welcome 🤗. submitted by /u/shrekofspeed [link] [留言]

Figma has revealed some new design and coding product updates at its annual Config conference that aim to help creatives "push their ideas further" and automate tedious tasks with AI. Part of this is a reimagined canvas that's now optimized for full-stack development, according to Figma, bringing teams, AI agents, tools, and materials "together in […]

Figma's update adds a new code layer, support for motion and shaders, and the ability to create custom plug-ins for various tasks using AI.

If you were planning on spending anyway, these deals are essentially free money for your favorite restaurants and stores.

https://xcancel.com/ID_AA_Carmack/status/2069799283369345247