Beginning January 2026, all ACM publications will be made open access
dl.acm.org
We pwned X, Vercel, Cursor, and Discord through a supply-chain attack
gist.github.com
Skills for organizations, partners, the ecosystem
claude.com
Texas is suing all of the big TV makers for spying on what you watch
theverge.com
T5Gemma 2: The next generation of encoder-decoder models
blog.google
Delty (YC X25) Is Hiring an ML Engineer
ycombinator.com
How China built its ‘Manhattan Project’ to rival the West in AI chips
japantimes.co.jp
Classical statues were not painted horribly
worksinprogress.co
How did IRC ping timeouts end up in a lawsuit?
mjg59.dreamwidth.org
How to hack Discord, Vercel and more with one easy trick
kibty.town
Show HN: Stop AI scrapers from hammering your self-hosted blog (using porn)
github.com
Show HN: Picknplace.js, an alternative to drag-and-drop
jgthms.com
Your job is to deliver code you have proven to work
simonwillison.net
TRELLIS.2: state-of-the-art large 3D generative model (4B)
github.com
Meta Segment Anything Model Audio
ai.meta.com
Firefox will have an option to disable all AI features
mastodon.social
I've been writing ring buffers wrong all these years (2016)
snellman.net
Using TypeScript to obtain one of the rarest license plates
jack.bio
Interactive Fluid Typography
electricmagicfactory.com
How I wrote JustHTML, a Python-based HTML5 parser, using coding agents
friendlybit.com
Launch HN: Pulse (YC S24) – Production-grade unstructured document extraction
Hi HN, We are the OpenDCAI group from Peking University. We built Paper2Any, an open-source tool designed to automate the "Paper to Slides" workflow based on our DataFlow-Agent framework. The Problem: Writing papers is hard, but creating professional architecture diagrams and slides (PPTs) is often more tedious. Most AI tools just generate static images (PNGs) that are impossible to tweak for final publication. The Solution: Paper2Any takes a PDF, text, or sketch as input, understands the research logic, and generates fully editable PPTX (PowerPoint) files and SVGs. We prioritize flexibility and fidelity—allowing you to specify page ranges, switch visual styles, and preserve original assets. How it works: 1. Multimodal Reading: Extracts text and visual elements from the paper. You can now specify page ranges (e.g., Method section only) to focus the context and reduce token usage. 2. Content Understanding: Identifies core contributions and structural logic. 3. PPT Generation: Instead of generating one flat image, it generates independent elements (blocks, arrows, text) with selectable visual styles and organizes them into a slide layout. Links: - Demo: http://dcai-paper2any.cpolar.top/ - Code (DataFlow-Agent): https://github.com/OpenDCAI/DataFlow-Agent We'd love to hear your feedback on the generation quality and the agent workflow!