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The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
1•gozzoo•1m ago•0 comments

A Horrible Conclusion

https://addisoncrump.info/research/a-horrible-conclusion/
1•todsacerdoti•1m ago•0 comments

I spent $10k to automate my research at OpenAI with Codex

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
1•tosh•2m ago•0 comments

From Zero to Hero: A Spring Boot Deep Dive

https://jcob-sikorski.github.io/me/
1•jjcob_sikorski•3m ago•0 comments

Show HN: Solving NP-Complete Structures via Information Noise Subtraction (P=NP)

https://zenodo.org/records/18395618
1•alemonti06•8m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•10m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•13m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•14m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
1•michalpleban•14m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•15m 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
1•mitchbob•16m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•16m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•17m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•20m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•24m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•24m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•29m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•30m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•31m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•34m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•36m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•36m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•36m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•37m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•39m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•40m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•43m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•45m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•45m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•45m ago•1 comments
Open in hackernews

Ask HN: Why does Y Combinator seem to be consistently funding AI slop?

24•coldtrait•2mo ago
This is one of the recent ones that I came across - https://x.com/ycombinator/status/1988366241460089118

Of late it looks like I've been noticing more of such pointless businesses and I'm not alone. What do you think?

Comments

xenospn•2mo ago
Same reason they funded Web3/crypto/NFT crap. Investors’ greatest fear is missing out.
raw_anon_1111•2mo ago
Someone somewhere made this sheet of YCs s24 companies.

https://docs.google.com/spreadsheets/d/1Uy2aWoeRZopMIaXXxY2E...

I found a few of the companies that YC invests in have two non technical founders looking for a “founding engineer” to build their product who they were going to pay $150K to and “equity”.

I guess there are people that gullible?

giantg2•2mo ago
"Why does Y Combinator seem to be consistently funding AI slop?"

Because everyone is funding AI slop.

The example you gave is more about AI workflow management vs actual slop. It's a slop enabler.

muzani•2mo ago
I think part of the reason everyone is funding AI slop is because companies like YC, 500 Startups, a16z do it.
giantg2•2mo ago
It's like apps for phones in 2005-2015 - take a shot and see where it lands. Might be worthless, or might hit it big. VC investing is basically just playing a lottery that you can influence the odds.
brudgers•2mo ago
Probably the same reasons it funded JustinTV when the idea was live streaming Justin Kan’s life. YC bets on founders not ideas because that’s how they get Twitch paydays.

Remember that the “Air” in AirBnB came from the idea of renting air mattresses. Smart motivated people can have dumb ideas. Iterating from a dumb idea is how good ideas are made.

raw_anon_1111•2mo ago
There is a such thing as survivorship bias - the overwhelming bad ideas fail spectacularly and disappear into obscurity. For every one success you can name I can easily pick out 9 that failed that were funded by YC.

Of course those big successes outweigh the failures measured by profit to YC.

lolidiots•2mo ago
YC basically throws mud at a wall and sees what sticks. For example, Theos dumb projects.
satvikpendem•2mo ago
Who's Theo?
brazukadev•2mo ago
I'm not surprised
bnchrch•2mo ago
People have mentioned they back "founders not ideas". Which is a great tag line, and also not 100% true, but true enough.

The other side is they like to fund in area's that have a strong why now. One great answer to that is "Because it wasnt possible to build this X years ago" in other words they like to fund companies that are taking advantage of a new technical property, regulatory change, or cultural change.

AI hits 2/3 of those.

Now you can say "AI slop all you want" just like you can say "Crypto is a scam" but its a statement that ignores there has been profitable and viable new ventures built on top of these new compute properties.

TLDR: technological change is the basis of how VC's make money.

davidajackson•2mo ago
I am going to play devil's advocate here and say that so many processes that can be automated with AI are still untouched.

I'm not making a statement about the quality of businesses funded, but rather the fact there is a lot of opportunity.

raw_anon_1111•2mo ago
And if a company already in that segment or an adjacent segment sees an opportunity, they will throw a few devs on it, sell it to their existing customer base and crush the little startup.

Most of these startups that have any technical people at most have a couple.

atleastoptimal•2mo ago
They fund founders with the immutable qualities which correlate with success. These include

1. FAANG or Ivy/Stanford/Harvard pedigree

2. Ex-founder with a good exit

3. Physically attractive/charismatic, a good salesman

4. Extremely high intelligence, ability, track record of aptitude

These qualities are more important than the idea of the company, which they expect to pivot or evolve over time. What doesn't change over time is the founders' relative advantage over their peers in these aspects, so it makes sense to prioritize them in selection