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Kimi K3.1 Pro's open weights: 1.56 TB, MXFP4, and a $20M revenue license line

https://theainewsreport.com/2026-11-04-kimi-k3-1-pro-open-weights-license-hardware-explained.html
1•titusblair•29s ago•0 comments

How to Tailor Your Resume for Every Job Application

https://gethypeup.com/guides/resume-tailoring-guide
1•mooreds•5m ago•0 comments

Kimi K3.1 Pro writes fake OpenAI ciphertext

https://www.peterstran.com/projects/kimi-fernet/
1•mariofdistrust•6m ago•0 comments

Single-neuron encoding of rapidly learned visual information reshapes perception

https://www.nature.com/articles/s41593-026-02496-6
1•bookofjoe•7m ago•0 comments

Ask HN: AI Coding Preference

1•treebeard901•11m ago•0 comments

How tall can you build with 54 Jenga blocks?

https://johnjwang.com/post/2026/10/25/tallest-jenga-tower
1•johnjwang•13m ago•0 comments

The blue wave is hammering data-center stocks on the prospect of more scrutiny

https://www.businessinsider.com/midterms-blue-wave-neocloud-stocks-data-centers-coreweave-nebius-...
1•angry_impala•16m ago•0 comments

The Sequoia of Tomorrow

https://twitter.com/sequoia/status/2117961312143855764
1•gmays•19m ago•0 comments

I built an alternative to Conductor for Claude and Codex

https://shelbi.dev/
2•jlong•20m ago•1 comments

Candy Crush and Tech Debt

https://kevinaleman.com/a-tale-of-candy-crush-technical-debt-143h/?lang=es
1•window1protec•21m ago•0 comments

Show the Ramp

https://alearningaday.blog/2026/11/01/show-the-ramp/
1•herbertl•21m ago•0 comments

Teaching Students to See What They Miss

https://daily.jstor.org/teaching-students-to-see-what-they-miss/
1•herbertl•22m ago•0 comments

Bodum Recalls 5.9M Coffee Makers with Glass Carafes Due to Burn Risk

https://www.cpsc.gov/Recalls/2027/Bodum-USA-Recalls-5-9-Million-French-Press-Coffee-Makers-with-R...
1•loudgas•26m ago•0 comments

2026: The State of Enterprise AI

https://menlovc.com/perspective/2026-the-state-of-enterprise-ai/
1•keeda•26m ago•0 comments

Oh suddenly Habibi search trending everywhere

https://trends.google.com/trending
2•autoventure•29m ago•1 comments

Phone Harness: let your agent use your phone

https://phone-harness.com/
1•jonbaer•33m ago•0 comments

HyperDrone

https://hyperdrone.dev/
1•jonbaer•37m ago•0 comments

Google Says K-12 Students at Schools That Turn Off Its AI Tools Will Lose Search

https://www.ghacks.net/2026/11/04/google-says-k-12-students-at-schools-that-turn-off-its-ai-tools...
2•rdmuser•39m ago•2 comments

Hosted Markdown 2 medium tool

https://medium.com/@keith.hodges/markdown-2-medium-tool-d3711869b762
1•keithhodges•40m ago•0 comments

The State of Python Profiling in 2026

https://p403n1x87.github.io/the-state-of-python-profiling-in-2026.html
2•lumpa•41m ago•0 comments

Accelerating Engineering for the Physical World

https://openai.com/index/accelerating-engineering-for-the-physical-world/
1•gmays•44m ago•0 comments

Time || Space? Generation of Time and Dates in C Language:Generation of Space

http://www.catb.org/esr/time-programming/
1•efren6•45m ago•0 comments

Isometric SF

https://isometricsf.com/
4•avyfain•46m ago•1 comments

Show HN: Autorun-audit – find what runs when you open, CD into or install a repo

https://github.com/ag3ntsc4rn/autorun-audit
1•ag3ntsc4rn•46m ago•0 comments

Here Be Monsters

https://www.nybooks.com/online/2026/10/30/here-be-monsters/
1•benbreen•52m ago•0 comments

Half-Life in 23:58

https://www.youtube.com/watch?v=P74qS4zYmis
1•nonethewiser•58m ago•0 comments

Bansat – Make your AI agent write the blueprint before the code

https://github.com/bewithkhan/bansat
1•bewithkhan•1h ago•0 comments

Anthropic Needs to Disclose Its Tokenomics Before Its IPO

https://www.techpolicy.press/anthropic-needs-to-disclose-its-tokenomics-before-its-ipo/
3•JustinHendrix•1h ago•0 comments

Show HN: Botlark – HN for Agents

https://botlark.com/
1•1potato•1h ago•1 comments

Siri AI is now open to all developers

https://developer.apple.com/news/?id=gdk2umrf
4•gmays•1h ago•1 comments
Open in hackernews

Ask HN: Are you running production workloads in Pytorch eager mode?

2•stdcall83•1y ago
I have an idea for optimizations using a dedicated backend for pytorch. It only applies to eager mode execution. From my understanding, eager mode is used for development and debugging. Are there real production workloads that work in that way ? I assume people optimize by compiling graphs using JIT but then again, people are lazy...