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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•11m ago•1 comments

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

https://twitter.com/claudeai/status/2020207322124132504
1•geeknews•13m 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•16m 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•18m ago•0 comments

University of Waterloo Webring

https://cs.uwatering.com/
1•ark296•18m ago•0 comments

Large tech companies don't need heroes

https://www.seangoedecke.com/heroism/
1•medbar•20m 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•21m ago•0 comments

The Threads Algorithm Loves Rage Bait

https://blog.popey.com/2026/02/the-threads-algorithm-loves-rage-bait/
1•MBCook•23m ago•0 comments

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

https://www.nycbuildingcheck.com/
1•aej11•27m 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•36m ago•0 comments

Do you have a mathematically attractive face?

https://www.doimog.com
3•a_n•40m ago•1 comments

Code only says what it does

https://brooker.co.za/blog/2020/06/23/code.html
2•logicprog•45m 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•46m ago•0 comments

Discovering the "original" iPhone from 1995 [video]

https://www.youtube.com/watch?v=7cip9w-UxIc
1•fortran77•47m 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•51m ago•1 comments

The Other Markov's Inequality

https://www.ethanepperly.com/index.php/2026/01/16/the-other-markovs-inequality/
2•tzury•53m ago•0 comments

The Cascading Effects of Repackaged APIs [pdf]

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055034
1•Tejas_dmg•55m 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

Show HN: A platform that creates AI Agents using 'job descriptions'

https://composeai.io
1•RealzDLegend•3mo ago
Hi HN, I've been working on something that started as personal frustration and turned into what I think might be a different way of thinking about AI agents. The problem: Repetitive work is unavoidable if you want to grow at anything. Building an audience, managing research, shipping products, etc. they all require those soul-crushing repetitive tasks. The 1% inspiration, 99% perspiration thing is real.

I tried n8n, Make, Zapier. They work, don’t get me wrong, but the setup time doesn't make it worth the output once you're automating multiple workflows. They're deterministic but brittle and not adaptive. The tight coupling means one change breaks everything. The Agent-based ones were more like interns than employees: they won’t work if you don’t prompt (and in a particular way or style), couldn't generalize, and didn't fit how real teams actually work.

So I started asking; what if you could onboard an AI agent the way you onboard a human? What if it could pursue long-term goals autonomously, without you prompting it every step? What if it could be deterministic without being brittle? You know? Better output with a more seamless input. That's why we built Compose AI. Instead of you prompting the agent, the agent prompts you. Each agent has a job description (like you'd write for a human hire) that defines expectations and outcomes. You onboard them on your data - apps, drive, APIs, databases, documents - and they build a knowledge graph to understand relationships across your organization without explicit “tight-coupling".

Key differences: - Autonomous goal pursuit: Tell an agent what to accomplish, not how to do it. It creates its own task list and executes. - Human-like onboarding: Create agents using regular job descriptions containing your workflow and expectations. - Multi-channel interaction: Email, voice, soon phone and Teams. You're not locked into a UI. - Local browser automation: For tasks requiring a browser, agents can connect to your local computer browser. They work on a separate workspace on your computer - your browsing data stays local. Cloud browsing is also possible. - Stack integration: Works across Google Docs, Notion, CRMs, whatever you're already using. You don't need to be technical or be an expert at prompt engineering.

You just need a clear job description, which includes your workflow and expectations. The system handles the rest.

We have some pre-configured digital employees you can activate immediately (with job descriptions defined by us), or you can create your own. I see this as inverting the current paradigm - instead of humans adapting to how AI wants to be prompted, AI adapts to how humans already organize work. Maybe it's a glimpse into how human-machine collaboration evolves. Maybe it's just a better way to stop doing repetitive tasks. Either way, I'd love for you to try it and tell me what breaks.

Try it here: https://composeai.io

Looking forward to your feedback - especially the brutally honest kind.