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Accelerating Block Low-Rank Foundation Model Inference on MemoryConstrained GPUs

https://dl.acm.org/doi/full/10.1145/3806645.3807580
1•matt_d•7m ago•0 comments

You didn't live a life. You doomscrolled [video]

https://www.youtube.com/watch?v=KPLEmp9CinU
1•jv22222•8m ago•0 comments

Local-first agent governance: keeping an AI agent contained

https://vektorgeist.com/blog/local-first-agent-governance
1•VektorGeist•12m ago•0 comments

No Space Like J-Space

https://thezvi.substack.com/p/no-space-like-j-space
2•codewiz•12m ago•0 comments

Is a "Phi-Zero" AI architecture viable for safe robotics?

https://github.com/GorrihmAI/fbai-nonconscious-ai/tree/main
2•GorrihmAI•15m ago•1 comments

Browsing Intent: A Practical Shopper Intent Signal for Ecommerce

https://drive.google.com/file/d/1nHvhFPtJnWdjQgAKUGQFWEIUA23Od202/view?usp=drive_link
1•philroselli•17m ago•0 comments

Running Gemma4 on Apple Neural Engine

https://rockyshikoku.medium.com/running-gemma4-on-apple-neural-engine-79fa0cb39dd2
2•nmfisher•17m ago•0 comments

Reverse-engineering a forgotten 80s arcade game for the Taito SJ System

https://fippi.io/reverse-engineering-adventure-canoe/
1•fippi•18m ago•0 comments

It may be impossible to make data centers pay 'fair share' of electricity costs

https://theconversation.com/it-may-be-almost-impossible-to-make-data-centers-pay-their-fair-share...
2•derbOac•19m ago•0 comments

Ubuntu 26.04 LTS vs. Windows 11 vs. CachyOS Performance on a $5399 Laptop

https://www.phoronix.com/review/razer-blade18-windows-linux/8
1•dcu•21m ago•0 comments

How to be grateful to someone – even when you don't want to

https://theconversation.com/how-to-be-grateful-to-someone-even-when-you-really-dont-want-to-285311
1•1659447091•22m ago•0 comments

Klong for the Web

https://tailrecursion.com/~alan/Klong.html
1•wooby•25m ago•0 comments

Tool-Calling Is Not a Guarantee, and Most Agents Are Betting That It Is

https://medium.com/@vektormemory/tool-calling-is-not-a-guarantee-and-most-agents-are-betting-that...
2•vektormemory•29m ago•0 comments

Ask HN: How do you use Hacker News?

1•chistev•30m ago•1 comments

Can LLMs Perform Deep Technical Comprehension of Computer Architecture Papers

https://arxiv.org/abs/2607.11859
3•Jimmc414•34m ago•0 comments

Show HN: Visual Learning Tool for Abstract Problem Solving Practice Through DSA

https://pqdsa.com?welcome
1•_dragonguy•34m ago•0 comments

Show HN: Forall – An AI coding agent that generates machine-checkable proofs

https://github.com/astrio-labs/forall
2•Nolan_Lwin•35m ago•0 comments

SynapticOS: An Inference-First Runtime Architecture for Neural Processing Units

https://arxiv.org/abs/2607.12606
3•Jimmc414•36m ago•0 comments

Meteorite that crashed into a NJ home contains 'extraterrestrial' amino acids

https://www.cnn.com/2026/07/15/science/new-jersey-fireball-rare-meteorite
1•1659447091•39m ago•1 comments

I Reimplemented the Workflows of 40 Multi-Agent LLM Papers – Here Are Lessons

https://old.reddit.com/r/vibecoding/comments/1uxpox5/i_reimplemented_the_core_workflows_of_40/
2•syumei•39m ago•0 comments

Venetia Burney

https://en.wikipedia.org/wiki/Venetia_Burney
2•thunderbong•40m ago•0 comments

The Long Tail of Work Left Until ActivityPub Has E2EE

https://soatok.blog/2026/07/15/the-long-tail-of-work-left-until-activitypub-has-e2ee/
5•iamnothere•44m ago•0 comments

The Tokio/Rayon Trap and Why Async/Await Fails Concurrency

https://pmbanugo.me/blog/why-async-await-complect-concurrency
2•LAC-Tech•45m ago•0 comments

Landscape of Consciousness

https://loc.closertotruth.com/
3•momentmaker•48m ago•0 comments

Zureka: A way forward to solving the thorniest issues in quantum mechanics

https://deivondrago.substack.com/p/zureka-a-way-forward-to-solving-the
1•bryan0•52m ago•0 comments

American A.I. Companies Say Chinese Copycats Are Quickly Catching Up

https://www.nytimes.com/2026/07/06/technology/ai-distillation-china.html
3•bookofjoe•52m ago•2 comments

A few tips from the (startup) trenches for managing stress

https://vishal.rs/essay/habits-that-will-keep-the-stress-under-control
2•vishalontheline•58m ago•0 comments

Kilo Code has been acquired by Anaconda

https://www.anaconda.com/blog/anaconda-acquires-kilo-code
3•doanbactam•58m ago•0 comments

Q-Day is coming, and it might break the internet

https://www.rnz.co.nz/news/world/724214/q-day-is-coming-and-it-might-break-the-entire-internet
4•billybuckwheat•59m ago•0 comments

Neanderthals, modern humans may have shared culture 59,000 years ago in Turkey

https://www.livescience.com/archaeology/neanderthals/modern-humans-and-neanderthals-may-have-shar...
3•gmays•1h ago•0 comments
Open in hackernews

Top Tips for Writing Code with AI

https://brettdidonato.substack.com/p/top-5-tips-for-writing-code-with
2•bsdpython•1y ago

Comments

uberman•1y ago
Solid, particularly the advice about context. I find with AI, less is better. Once you have "enough" context, adding more increases the risk of problems. The one I take exception with is the last. "You don't need to understand what the AI wrote". I feel you absolutely do need to understand what the AI wrote and if you don't you should not commit it.
bsdpython•1y ago
Thanks. I know the last one is controversial, but the way I am starting to think about it is that we are just moving to a new layer of abstraction. I no longer understand very well how hardware works, nor do I know in detail how a browser renders a page, nor the full fine details of how many of the libraries I use work. My own AI generated code, in pockets, is starting to work in the same way. And I'm starting to become OK with that risk.
sherdil2022•1y ago
The implementations for those abstractions are well tested (hopefully). Committing code that we don’t thoroughly test or have an understanding about is going to bite us sooner than later. They are landmines. Not abstractions.
bsdpython•1y ago
Is it possible we hit a wikipedia moment (it being more accurate than Encyclopedias) where the quality of typical ai generated code is better than popular open source libraries?