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Show HN: AI-context-bridge – Save AI coding context across tools via Git hooks

https://github.com/himanshuskukla/ai-context-bridge
1•himanshuDS•2m ago•0 comments

eBPF Ring Buffer vs. Perf Buffer

https://kubefront.net/system/ebpf/ring-buffer-vs-perf-buffer/
1•vinhnx•4m ago•0 comments

Magnus Carlsen Beats ChatGPT in Chess Without Losing a Piece

https://time.com/7303017/magnus-carlsen-chatgpt-ai-chess/
1•latexr•4m ago•0 comments

AI Agents and Applesauce

https://rob-blinsinger-blog.pages.dev/posts/2026-02-22-parsing-recipe-ingredients
1•calvin•4m ago•0 comments

Atoms are Cheap, Process is Pricey

https://futureblind.com/p/atoms-are-cheap-process-is-pricey
1•vinhnx•5m ago•0 comments

Code Review Is Not About Catching Bugs

https://www.davidpoll.com/2026/02/code-review-is-not-about-catching-bugs/
1•depoll•7m ago•0 comments

My Dad's Friendship with Charles Barkley (2018)

https://www.wbur.org/onlyagame/2018/12/14/lin-wang-charles-barkley
1•thunderbong•7m ago•0 comments

Show HN: Talpa – Datasette-powered reading stats dashboards for Kobo and Kindle

https://github.com/gildo/talpa
1•fyskij•8m ago•0 comments

Show HN: isometric.nyc/snow

https://isometric.nyc/snow
1•cannoneyed•9m ago•0 comments

Someone made their own Moltclaw personal assistant with a Raspberry Pi Zero 2W

https://www.xda-developers.com/someone-made-their-own-moltclaw-personal-assistant-with-a-raspberr...
1•HardwareLust•10m ago•0 comments

Survey: 58.7% say AI search has reduced or replaced traditional search

https://searcherries.com/ai-search-statistics
1•dahra•10m ago•0 comments

The Little Red Dot

https://idiallo.com/blog/little-red-dot
1•Brajeshwar•13m ago•0 comments

Sprites on the Web

https://www.joshwcomeau.com/animation/sprites/
2•joshwcomeau•13m ago•0 comments

Show HN: A self-evolving trading system with transparent orchestration

1•sunnynagra•13m ago•0 comments

The future of software engineering [pdf]

https://www.thoughtworks.com/content/dam/thoughtworks/documents/report/tw_future%20_of_software_d...
1•yarapavan•14m ago•0 comments

OpenClaw – Personal AI Assistant for $5 a month

https://blog.tomaszdunia.pl/openclaw-eng/
1•to3k•15m ago•1 comments

ThunderKittens 2.0: even faster kernels for your GPUs

https://hazyresearch.stanford.edu/blog/2026-02-19-tk-2
1•ecesena•15m ago•0 comments

Show HN: Free ecommerce platform for link-in-bio people

https://stoar.page/
2•arajnoha•15m ago•0 comments

Creative problem-solving after provoking dreams of unsolved puzzles

https://academic.oup.com/nc/article/2026/1/niaf067/8456489?login=true
1•PaulHoule•16m ago•0 comments

The Lethal Trifecta: Securing OpenClaw Against Prompt Injection

https://octoclaw.ai/blog/lethal-trifecta-prompt-injection/
1•octoclaw•17m ago•0 comments

Reticulum Network

https://reticulum.network/
1•ZeroCool2u•18m ago•1 comments

The Rise of the Bratty Machines

https://www.nytimes.com/2026/02/23/opinion/chatbots-open-claw.html
1•espiers•18m ago•0 comments

Show HN: 412 deterministic modules so AI agents stop hallucinating commands

https://github.com/flytohub/flyto-ai
1•ChesterHsu•18m ago•1 comments

Tiny experiments can set you free

https://nesslabs.com/tiny-experiments-tedx-nashville-transcript
1•adrianhoward•19m ago•0 comments

RNode

https://unsigned.io/rnode/
2•ZeroCool2u•19m ago•1 comments

The idea of using a Raspberry Pi to run OpenClaw makes no sense

https://www.theregister.com/2026/02/20/raspberry_pi_meme_stock_disorder/
2•smurda•21m ago•0 comments

I had everything – nd suddenly it stopped making sense

https://userfriendlybrain.substack.com/p/i-had-everything
2•stared•22m ago•0 comments

Note-Taking: Digital vs. Paper

https://www.ssp.sh/brain/digital-vs-paper/
2•articsputnik•23m ago•0 comments

Silicon Valley can't import talent like before. So it's exporting jobs

https://restofworld.org/2026/h1b-visa-impact-india-tech-hiring-faamng/
17•andrewstetsenko•24m ago•10 comments

Show HN: MarkdownLM – Stop being the human middleware for your AI agent

2•sundancegh•24m ago•0 comments
Open in hackernews

Why is AI so bad at reading PDFs?

https://www.theverge.com/ai-artificial-intelligence/882891/ai-pdf-parsing-failure
1•mikece•1h ago

Comments

Heidenbillg_C•1h ago
PDFs are designed for human eyes, not machine reading. AI struggles with them because of, 1. Text in columns, sidebars, and tables breaks logical flow. 2. Many PDFs are just images of text, requiring error-prone OCR to convert. 3. No semantic HTML/metadata exists to tell the AI what is a header, table, or paragraph. 4. Page numbers, footers, and images confuse context, causing "hallucinations" or skipped information.