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Same Surface, Different Weight

https://www.robpanico.com/articles/display/?entry_short=same-surface-different-weight
1•retrocog•34s ago•0 comments

The Rise of Spec Driven Development

https://www.dbreunig.com/2026/02/06/the-rise-of-spec-driven-development.html
1•Brajeshwar•4m ago•0 comments

The first good Raspberry Pi Laptop

https://www.jeffgeerling.com/blog/2026/the-first-good-raspberry-pi-laptop/
2•Brajeshwar•4m ago•0 comments

Seas to Rise Around the World – But Not in Greenland

https://e360.yale.edu/digest/greenland-sea-levels-fall
1•Brajeshwar•5m ago•0 comments

Will Future Generations Think We're Gross?

https://chillphysicsenjoyer.substack.com/p/will-future-generations-think-were
1•crescit_eundo•8m ago•0 comments

State Department will delete Xitter posts from before Trump returned to office

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
2•righthand•11m ago•0 comments

Show HN: Verifiable server roundtrip demo for a decision interruption system

https://github.com/veeduzyl-hue/decision-assistant-roundtrip-demo
1•veeduzyl•12m ago•0 comments

Impl Rust – Avro IDL Tool in Rust via Antlr

https://www.youtube.com/watch?v=vmKvw73V394
1•todsacerdoti•12m ago•0 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
2•vinhnx•13m ago•0 comments

minikeyvalue

https://github.com/commaai/minikeyvalue/tree/prod
3•tosh•17m ago•0 comments

Neomacs: GPU-accelerated Emacs with inline video, WebKit, and terminal via wgpu

https://github.com/eval-exec/neomacs
1•evalexec•22m ago•0 comments

Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
2•ShinyaKoyano•26m ago•1 comments

How I grow my X presence?

https://www.reddit.com/r/GrowthHacking/s/UEc8pAl61b
2•m00dy•28m ago•0 comments

What's the cost of the most expensive Super Bowl ad slot?

https://ballparkguess.com/?id=5b98b1d3-5887-47b9-8a92-43be2ced674b
1•bkls•29m ago•0 comments

What if you just did a startup instead?

https://alexaraki.substack.com/p/what-if-you-just-did-a-startup
5•okaywriting•35m ago•0 comments

Hacking up your own shell completion (2020)

https://www.feltrac.co/environment/2020/01/18/build-your-own-shell-completion.html
2•todsacerdoti•38m ago•0 comments

Show HN: Gorse 0.5 – Open-source recommender system with visual workflow editor

https://github.com/gorse-io/gorse
1•zhenghaoz•39m ago•0 comments

GLM-OCR: Accurate × Fast × Comprehensive

https://github.com/zai-org/GLM-OCR
1•ms7892•40m ago•0 comments

Local Agent Bench: Test 11 small LLMs on tool-calling judgment, on CPU, no GPU

https://github.com/MikeVeerman/tool-calling-benchmark
1•MikeVeerman•40m ago•0 comments

Show HN: AboutMyProject – A public log for developer proof-of-work

https://aboutmyproject.com/
1•Raiplus•41m ago•0 comments

Expertise, AI and Work of Future [video]

https://www.youtube.com/watch?v=wsxWl9iT1XU
1•indiantinker•41m ago•0 comments

So Long to Cheap Books You Could Fit in Your Pocket

https://www.nytimes.com/2026/02/06/books/mass-market-paperback-books.html
3•pseudolus•42m ago•1 comments

PID Controller

https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller
1•tosh•46m ago•0 comments

SpaceX Rocket Generates 100GW of Power, or 20% of US Electricity

https://twitter.com/AlecStapp/status/2019932764515234159
2•bkls•46m ago•0 comments

Kubernetes MCP Server

https://github.com/yindia/rootcause
1•yindia•47m ago•0 comments

I Built a Movie Recommendation Agent to Solve Movie Nights with My Wife

https://rokn.io/posts/building-movie-recommendation-agent
4•roknovosel•47m ago•0 comments

What were the first animals? The fierce sponge–jelly battle that just won't end

https://www.nature.com/articles/d41586-026-00238-z
2•beardyw•56m ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•56m ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
2•surprisetalk•58m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
2•surprisetalk•58m ago•0 comments
Open in hackernews

Meta guides FY26 capex to $115-135B, up from $72B in FY25

https://www.marvin-labs.com/blog/meta-ai-strategy-infrastructure-investment-analysis/
1•alexdoesstuff•1w ago

Comments

alexdoesstuff•1w ago
We updated our analysis of Meta's AI infrastructure spending after yesterday's Q4 call. Some specifics from the earnings call on where the money is going:

Ad models: They doubled the GPU cluster training their main ads ranking model. The architecture now reportedly "scales with similar efficiency as LLMs." They also consolidated multiple models into fewer, more capable ones (12% increase in ads quality) and moved their ads retrieval engine across NVIDIA, AMD, and custom MTIA chips, nearly tripling compute efficiency.

Internal tools: Management cited a 30% increase in output per engineer since early 2025, mostly from agentic coding tools. Power users saw 80% gains.

Ad products: Video generation tools hit a $10B combined revenue run rate. Incremental attribution drove a 24% lift in conversions.

On the financial side: Q4 ad revenue was $58.1B (+24% YoY). FY25 FCF was $43.5B, a 22% margin, down from 32% in FY24. They paused buybacks and signaled they may take on net debt. Management committed to FY26 operating income above FY25 in absolute terms against $162-169B in guided expenses.

For context, Meta's 2025 capex alone roughly equals the total lifetime investment in Reality Labs over 10+ years.

The article covers the full AI model stack (GEM, Lattice, Andromeda), capital intensity breakdown, and peer comparison.