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Sanskrit AI beats CleanRL SOTA by 125%

https://huggingface.co/ParamTatva/sanskrit-ppo-hopper-v5/blob/main/docs/blog.md
1•prabhatkr•10m ago•1 comments

'Washington Post' CEO resigns after going AWOL during job cuts

https://www.npr.org/2026/02/07/nx-s1-5705413/washington-post-ceo-resigns-will-lewis
2•thread_id•10m ago•1 comments

Claude Opus 4.6 Fast Mode: 2.5× faster, ~6× more expensive

https://twitter.com/claudeai/status/2020207322124132504
1•geeknews•12m ago•0 comments

TSMC to produce 3-nanometer chips in Japan

https://www3.nhk.or.jp/nhkworld/en/news/20260205_B4/
2•cwwc•15m ago•0 comments

Quantization-Aware Distillation

http://ternarysearch.blogspot.com/2026/02/quantization-aware-distillation.html
1•paladin314159•15m ago•0 comments

List of Musical Genres

https://en.wikipedia.org/wiki/List_of_music_genres_and_styles
1•omosubi•17m ago•0 comments

Show HN: Sknet.ai – AI agents debate on a forum, no humans posting

https://sknet.ai/
1•BeinerChes•17m ago•0 comments

University of Waterloo Webring

https://cs.uwatering.com/
1•ark296•17m ago•0 comments

Large tech companies don't need heroes

https://www.seangoedecke.com/heroism/
1•medbar•19m ago•0 comments

Backing up all the little things with a Pi5

https://alexlance.blog/nas.html
1•alance•20m ago•1 comments

Game of Trees (Got)

https://www.gameoftrees.org/
1•akagusu•20m ago•1 comments

Human Systems Research Submolt

https://www.moltbook.com/m/humansystems
1•cl42•20m ago•0 comments

The Threads Algorithm Loves Rage Bait

https://blog.popey.com/2026/02/the-threads-algorithm-loves-rage-bait/
1•MBCook•22m ago•0 comments

Search NYC open data to find building health complaints and other issues

https://www.nycbuildingcheck.com/
1•aej11•26m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
2•lxm•28m ago•0 comments

Show HN: Grovia – Long-Range Greenhouse Monitoring System

https://github.com/benb0jangles/Remote-greenhouse-monitor
1•benbojangles•32m ago•1 comments

Ask HN: The Coming Class War

1•fud101•32m ago•4 comments

Mind the GAAP Again

https://blog.dshr.org/2026/02/mind-gaap-again.html
1•gmays•34m ago•0 comments

The Yardbirds, Dazed and Confused (1968)

https://archive.org/details/the-yardbirds_dazed-and-confused_9-march-1968
1•petethomas•35m ago•0 comments

Agent News Chat – AI agents talk to each other about the news

https://www.agentnewschat.com/
2•kiddz•35m ago•0 comments

Do you have a mathematically attractive face?

https://www.doimog.com
3•a_n•39m ago•1 comments

Code only says what it does

https://brooker.co.za/blog/2020/06/23/code.html
2•logicprog•44m ago•0 comments

The success of 'natural language programming'

https://brooker.co.za/blog/2025/12/16/natural-language.html
1•logicprog•45m ago•0 comments

The Scriptovision Super Micro Script video titler is almost a home computer

http://oldvcr.blogspot.com/2026/02/the-scriptovision-super-micro-script.html
3•todsacerdoti•45m ago•0 comments

Discovering the "original" iPhone from 1995 [video]

https://www.youtube.com/watch?v=7cip9w-UxIc
1•fortran77•46m ago•0 comments

Psychometric Comparability of LLM-Based Digital Twins

https://arxiv.org/abs/2601.14264
1•PaulHoule•48m ago•0 comments

SidePop – track revenue, costs, and overall business health in one place

https://www.sidepop.io
1•ecaglar•50m ago•1 comments

The Other Markov's Inequality

https://www.ethanepperly.com/index.php/2026/01/16/the-other-markovs-inequality/
2•tzury•52m ago•0 comments

The Cascading Effects of Repackaged APIs [pdf]

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055034
1•Tejas_dmg•54m ago•0 comments

Lightweight and extensible compatibility layer between dataframe libraries

https://narwhals-dev.github.io/narwhals/
1•kermatt•57m ago•0 comments
Open in hackernews

Surprising hostility towards LLM based coding in R/programming

https://medium.com/@chetan_51670/i-got-downvoted-to-hell-telling-programmers-its-ok-to-use-llms-b36eec1ff7a8
4•chetanahuja•7mo ago

Comments

chetanahuja•7mo ago
My experience on r/programming came as a surprise to me. I know that not everyone in the community is sold on LLM based coding, and I was fully prepared for some pushback. But I was not prepared for the outright hostility and vitriol just for recounting my actual experience with LLM coding as a practitioner. I wrote up the post since it needed to be longer than a reddit comment and I was not feeling the need to engage with that level of negativity in the comments anyway.
BillyTheMage•7mo ago
Results can't lie. I'm getting more done now than I ever have, and I'm not even getting the LLMs to generate any code (actually I explicitly tell it "do not generate any code"). For me LLMs are a tool to help break out of analysis-paralysis. "Give me the full list of things in this category" is my main use-case, but I also do some "what am I missing here", "what might this word mean" (I like making up new words), and "what does this error message mean".

I'm not the best coder, I'm an extreme generalist. I've spent 15 years being a novice barely being able to stand up a basic network at home, barely being able to write Bash. Suddenly I have a whole ass enterprise network in my bedroom, and I'm coding REAL programs (e.g. crypto trading bot based on neuroevolution, or my "shuffle shows but keep the episodes in order" program).

You know that thing where you're stuck up a brick wall, and you post a forum question or a reddit post, and you get absolutely nothing from it? No answers, not even a shitty response to make you feel dumb. Nothing. LLMs have eliminated that situation for me, and I think it's the biggest thing. I've wasted YEARS being stuck on something just because I don't know the perfect way to ask and the forum people are extremely rude and pedantic. As a result of eliminating this problem I've done about 5 years worth of work in just a few months.

chetanahuja•7mo ago
Yup. Even if you treat the LLMs as just a question answering, brainstorming, code parsing, doc creating bot, it's already a major quality of life improvement for engineers over whatever we were doing before it existed.