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What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
1•machielrey•52s ago•0 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
2•tablets•5m 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•7m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•10m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•10m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•11m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
2•birdculture•16m 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•22m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•23m ago•1 comments

Slop News - HN front page right now hallucinated as 100% AI SLOP

https://slop-news.pages.dev/slop-news
1•keepamovin•28m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•30m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•36m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•39m ago•1 comments

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

2•InvoxoEU•40m 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
2•goranmoomin•43m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•45m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•46m 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•49m 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
3•myk-e•51m 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•52m 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
4•1vuio0pswjnm7•54m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•56m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•58m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•1h ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•1h ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•1h ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•1h ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments
Open in hackernews

Ask HN: Is fast.ai's "Deep Learning for Coders" still relevant in 2025?

12•hedgehog0•6mo ago
Dear all,

I learned some basic ML from Andrew Ng's Coursera course more than 10 years ago, recently I graduated from the Math Master program and have some free time in my hand, so I am thinking about picking up ML/DL again.

In [Yacine's video](https://www.youtube.com/watch?v=ph6PIchDOcQ), he mentioned [fast.ai's course](https://course.fast.ai/), which I heard of in the past but didn't look into too much. The table of contents of [the book](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527) looks pretty solid, but it was published in 2020, so I was wondering given the pace of AI development, do you think this book or course series is still a good choice and relevant for today's learners?

*To provide more context about me*: I did math major and CS minor (with Python background) during undergrad but have never taken any ML/DL courses (other than that Coursera one), and I just finished the Master program in math, though I have background and always have interests in graph theory, combinatorics, and theoretical computer science.

I have two books "Hands-on Machine Learning" by Geron and "Hands-on LLMs" by Alammar and Grootendorst, and plan to finish Stanford's CS224N and CS336 and CMU's DL systems when I have enough background knowledges. I am interested in building and improving intelligent systems such as DeepProver and AlphaProof that can be used to improve math proof/research.

Thank you a lot!

Comments

thiago_fm•6mo ago
Yes it's still very good if you want to toy around with it. I did it and in the end I feel like I could do simple models and understand how it works.

If you want a job, it may not be what you need.

If you want to work with ML you likely need the PhD + get lucky.

Remember that the skillset for AI jobs != ML.

If you are interested on it because of AI, it's better to focus on LLMs and more NLP related fields.

hedgehog0•6mo ago
Thank you for your suggestions!

Originally I was more interested in ML/DL theory and mech interp, so you can see I was more into theory. Recently, I am also curious and leaning towards learning more about how to build products with foundational models, such as LLM; for instance, recently I got the "LLM's Engineer Handbook [1]".

> If you want to work with ML you likely need the PhD + get lucky.

I do am interested in doing PhD in theoretical computer science, but I'm not too sure about AI PhD as I heard many (not-so-good) things about it.

> If you are interested on it because of AI, it's better to focus on LLMs and more NLP related fields.

Do you have any recomenndations that you have gone through that you think are helpful?

[1]: https://www.oreilly.com/library/view/llm-engineers-handbook/...

sama004•6mo ago
I found this to be helpful

https://www.oreilly.com/library/view/ai-engineering/97810981...

distracted_boy•6mo ago
What if your goal is to transition into the role of an ”AI Engineer”, would the course be valuable for this?