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Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
1•pieterdy•1m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
2•Tehnix•2m ago•0 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
1•haizzz•3m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
2•Nive11•4m ago•2 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
1•hunglee2•7m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
1•chartscout•10m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
2•AlexeyBrin•13m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
1•machielrey•14m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•19m ago•0 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•21m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•23m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•23m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•24m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
2•birdculture•30m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•35m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•37m ago•1 comments

Slop News - HN front page right now as AI slop

https://slop-news.pages.dev/slop-news
1•keepamovin•41m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•43m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
3•tosh•49m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•53m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•53m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
3•goranmoomin•57m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•58m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•1h ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•1h ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
4•myk-e•1h ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•1h ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
5•1vuio0pswjnm7•1h ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
4•1vuio0pswjnm7•1h ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•1h ago•2 comments
Open in hackernews

Bitter lessons building AI products

https://hex.tech/blog/bitter-lessons-building-ai-in-hex-product-management/
32•vinhnx•3mo ago

Comments

ninetyninenine•3mo ago
The bitterest lesson is that AI is improving. It didn't actually hit a wall. The first product was to early... it failed because AI was not good enough. Back then everyone said we hit a wall.

Now the AI is good enough. People are still saying we hit a wall. Are you guys sure?

He learned lesson about building a product with AI that was incapable. What happens when AI is so capable it negates all these specialized products?

AI is not in a bubble. This technology will change the world. The bubble are people like this guy trying to build GUI's around AI to smooth out the rough parts which are constantly getting better and better.

airstrike•3mo ago
Not all of us buy into that extrapolation.

> He learned lesson about building a product with AI that was incapable. What happens when AI is so capable it negates all these specialized products?

I don't know, ask me again in 50 years.

ninetyninenine•3mo ago
Nobody buys into it. That's the problem.

But you have to realize, Before AI was capable of doing something like NotebookLLM nobody bought into it. And they were wrong. They failed to extrapolate.

Now that AI CAN do NotebookLLM, people hold on to the same sentiment. You guys were wrong.

airstrike•3mo ago
Your argument is a fallacy in three immediate ways:

1. We're not all the same person, to be clear.

2. It's also not the same argument as before. It's not the same extrapolation.

3. And being right or wrong in the past has no bearing on current

NotebookLM doesn't need new AI. It's tool use and context. Tool use is awesome, I've been saying that for ages.

It's wrong to extrapolate we're seamlessly going to go from tool use to "AI replaces humans"

ninetyninenine•3mo ago
>1. We're not all the same person, to be clear.

No. But you all run under the same label. This is common if you didn't know. For example a certain group of people with certain beliefs can be called republican or democrat or catholic. I didn't name the label explicitly. But you all are in that group. I thought it was obvious I wasn't talking about one person. I don't think you're so stupid as to actually think that so don't pretend you misinterpreted what I said.

>2. It's also not the same argument as before. It's not the same extrapolation.

Seems like the same argument to me, you thought LLMs were stochastic parrots and inherently and forever limited by it's very nature (a statement made with no proof).

The extrapolation is the same since the dawn of AI: upwards. We may hit a wall, but nobody can know this for sure.

>3. And being right or wrong in the past has no bearing on current

It does. Past performance is a good predictor of current performance. It's also common sense, why else do we have resumes?

You were wrong before, chances are... you'll be wrong again.

>It's wrong to extrapolate we're seamlessly going to go from tool use to "AI replaces humans"

You just make this statement without any supporting evidence? It's just wrong because you say so?

This is my statement: How about the trendline points to an eventual future that remains an open possibility due to a trendline...

versus your conclusion which is "it's wrong"

journal•3mo ago
i've not been impressed since gpt3.5
nougati•3mo ago
I'm surprised at this, LLMs have had many developments since Gpt3.5, technologically and culturally. What kind of developments would be impressive to you?
oldge•3mo ago
This is a common sentiment from my peers who have not spent any real time with the frontier models in the last six months.

They tend to poke the free ChatGPT for ill defined requests and come away disappointed.

exfalso•3mo ago
Same experience here, using new models. Every time it's a disappointment. Useful for search queries that are not too specialized. That's it.
sampullman•3mo ago
I get pretty good results with Claude code, Codex, and to a lesser extend Jules. It can navigate a large codebase and get me started on a feature in a part of the code I'm not familiar with, and do a pretty good job of summarizing complex modules. With very specific prompts it can write simple features well.

The nice part is I can spend an hour or so writing specs, start 3 or 4 tasks, and come back later to review the result. It's hard to be totally objective about how much time it saves me, but generally feels worth the 200/month.

One thing I'm not impressed by is the ability to review code changes, that's been mostly a waste of time, regardless of how good the prompt is.

ninetyninenine•3mo ago
Company expectations are higher too. Many companies expect 10x output now due to AI, but the technology has been growing so quick that there are a lot of people/companies who haven't realized that we're in the middle of a paradigm shift.

If you're not using AI for 60-70 percent of your code, you are behind. And yes 200 per month for AI is required.

fragmede•3mo ago
We've been trialing code rabbit at work for code review. I have various nits to pick but it feels like a good addition.
journal•3mo ago
maybe if openai let me generate an image through api? that would impress me. instead, they took away temperature and gave us verbosity and reasoning effort to think about every time we make an api call.
esafak•3mo ago
Then you should be very impressed, because they let you generate videos by API: https://platform.openai.com/docs/models/sora-2

That's a low bar.

Legend2440•3mo ago
>AI is not in a bubble. This technology will change the world.

The technology can change the world, and still be a bubble.

Just because neural networks are legit doesn’t mean it’s a smart decision to build $500 billion worth of datacenters.

kingstnap•3mo ago
You are right we should've built $5 trillion /s.
aloha2436•3mo ago
The internet was a bubble! Somewhat after, it took over planet earth. But it was also a bubble.
rf15•3mo ago
If AI becomes as good as you claim, there is no need for you. Since it can replace you in every endeavor and be better at it, ANY energy given to you is logically better invested by giving it to the AI. Stop wasting our collective resources.
ninetyninenine•3mo ago
It can. That's the future bro. It replace me, you and all of us.

You're dropping that line as if it's absurd. Be realistic. Dark conclusions are not automatically illogical. If the logic points to me being replaced, then that's just reality.

Right now we don't know if I (aka you) will be replaced, but trendlines point to it as a possiblity.

gsf_emergency_4•3mo ago
Rich Sutton, the guy behind both "reinforcement learning" & "the Bitter Lesson", muses that Tech needs to understand the Bitter Lesson better:

https://youtu.be/QMGy6WY2hlM

Longer analysis:

https://youtu.be/21EYKqUsPfg?t=47m28s

To (try and) summarize those in the context of TFA: builders need to distinguish between policy optimisations and program optimisations

I guess a related question to ask (important for both startups and Big Tech) might be: "should one focus on doing things that don't scale?"