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EVs Are a Failed Experiment

https://spectator.org/evs-are-a-failed-experiment/
1•ArtemZ•4m ago•1 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•5m ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
1•LiamPowell•7m ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
2•duxup•10m ago•0 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•11m ago•0 comments

Can graph neural networks for biology realistically run on edge devices?

https://doi.org/10.21203/rs.3.rs-8645211/v1
1•swapinvidya•23m ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•25m ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
2•savrajsingh•26m ago•0 comments

Why Embedded Models Must Hallucinate: A Boundary Theory (RCC)

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•28m ago•2 comments

A Curated List of ML System Design Case Studies

https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
3•tejonutella•32m ago•0 comments

Pony Alpha: New free 200K context model for coding, reasoning and roleplay

https://ponyalpha.pro
1•qzcanoe•36m ago•1 comments

Show HN: Tunbot – Discord bot for temporary Cloudflare tunnels behind CGNAT

https://github.com/Goofygiraffe06/tunbot
1•g1raffe•39m ago•0 comments

Open Problems in Mechanistic Interpretability

https://arxiv.org/abs/2501.16496
2•vinhnx•44m ago•0 comments

Bye Bye Humanity: The Potential AMOC Collapse

https://thatjoescott.com/2026/02/03/bye-bye-humanity-the-potential-amoc-collapse/
2•rolph•49m ago•0 comments

Dexter: Claude-Code-Style Agent for Financial Statements and Valuation

https://github.com/virattt/dexter
1•Lwrless•50m ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•vermilingua•55m ago•0 comments

Essential CDN: The CDN that lets you do more than JavaScript

https://essentialcdn.fluidity.workers.dev/
1•telui•56m ago•1 comments

They Hijacked Our Tech [video]

https://www.youtube.com/watch?v=-nJM5HvnT5k
1•cedel2k1•1h ago•0 comments

Vouch

https://twitter.com/mitchellh/status/2020252149117313349
34•chwtutha•1h ago•5 comments

HRL Labs in Malibu laying off 1/3 of their workforce

https://www.dailynews.com/2026/02/06/hrl-labs-cuts-376-jobs-in-malibu-after-losing-government-work/
4•osnium123•1h ago•1 comments

Show HN: High-performance bidirectional list for React, React Native, and Vue

https://suhaotian.github.io/broad-infinite-list/
2•jeremy_su•1h ago•0 comments

Show HN: I built a Mac screen recorder Recap.Studio

https://recap.studio/
1•fx31xo•1h ago•1 comments

Ask HN: Codex 5.3 broke toolcalls? Opus 4.6 ignores instructions?

1•kachapopopow•1h ago•0 comments

Vectors and HNSW for Dummies

https://anvitra.ai/blog/vectors-and-hnsw/
1•melvinodsa•1h ago•0 comments

Sanskrit AI beats CleanRL SOTA by 125%

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

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

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

TSMC to produce 3-nanometer chips in Japan

https://www3.nhk.or.jp/nhkworld/en/news/20260205_B4/
3•cwwc•1h ago•0 comments

Quantization-Aware Distillation

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

List of Musical Genres

https://en.wikipedia.org/wiki/List_of_music_genres_and_styles
1•omosubi•1h ago•0 comments
Open in hackernews

Does this AI maximalist company (HN invested) scare / inspire you as much as me?

1•lifeisstillgood•2mo ago
https://www.ycombinator.com/companies/rocketable

So their pitch is roughly “buy a successful saas company, get the humans to train an AI and then fire the humans, the (LLM) keeps the compmay running.

Now I thought this was laughable for about a second.

Then I remembered one of my maxims of management - that managers pretend they rank “hiring the best people” so that if things go wrong it was not the manager who failed to design a working system but that they hired the wrong people.

So imo management is building a system to run a company (/machine) - and that’s what’s happening here

It’s an awesome idea. I have no idea if it’s doable but even if you only need 10% of the humans to keep it ticking over there is a lot of white collar work about to become replaced

Comments

ossa-ma•2mo ago
This is more or less what private equity does and has been doing for years but they've added AI to the loop.

There are companies that do this with AI too, notably Bending Spoons.

Lerc•2mo ago
I can see a viewpoint where it would be beneficial. It allows humans to develop things and once developed they transition into a stable operating state predominantly automated.

This, of course, is considering only the case that they achieve the ability to actually make the automation.

If a product can generate a steady return on investment by reducing costs. There is incentive to maintain that service without enshitification. The automation lacks the design ability to endlessly modify the product to add 'features' that exploit users.

The idea is that humans can do more things and are more expensive, because they can do more than just operate an existing product, if you are paying for them anyway you can put some of their efforts maximizing all those things that generate more revenue at the cost of user experience

The counterpoint is what happens when AI is a capable enshitifier.

A world with more capable AI might require more of a paradigm shift. Instead paying for a service like this, you pay for a single human who can manage an AI to deliver a bespoke service.

You are still going to need a human to understand what you want and communicate that to an AI. It'll be quite some time before people are comfortable with an AI deciding what you want and giving it to you unprompted.

Again this is predicated on AI better than we currently have.

If we do get to that stage perhaps we see AI maintained open source projects.

If AI cans do it all, why wouldn't people just ask an AI to make them their own sass.

The truly all-in AI sass would just have all API calls forwarded to an AI and it deciding what to do on a call by call basis. I could see people trying that, but I suspect when AI is capable enough to do the job, the world would have changed sufficiently that we can't predict from here what it is that we would want them to make for us.

nacozarina•2mo ago
it’s called ‘asset stripping’ and you don’t even need ai to do it, just cold blood