Viewing profile — dandelionv1bes
dandelionv1bes
HN member- Joined
- Tue, Aug 12, 2025, 8:44 AM UTC
- HN karma
- 35
- Public activity
- 41 items
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About dandelionv1bes
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Recent public activity
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Comment #46932781
If you’re interested in an easy explainer for backprop, then highly recommend math for deep learning by Kneusel. Finished it recently and you can apply the chain rule backwards by …
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Comment #46834849
Saw Empire of AI in a bookshop recently but held off buying as wasn’t sure if it was going to be surface level. You’d recommend?
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Comment #46690476
I struggle with this a bit because while my network isn’t bad - I really can’t stand social network like threads/X etc - I’m not on any social media bar here and LinkedIn. Do you t…
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Comment #46668174
Nice read - I can’t seem to subscribe? Getting an error with Buttondown.
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Show HN: Tiny Toy Network – a neural net to practice backpropagation
I’ve recently finished Math for Deep Learning and really enjoyed computing back propagation by hand. However, it’s one of those things where if you stop doing it for six months, yo…
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Comment #46666205
i’m sorry this really made me laugh - I hope she’s ok!
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Comment #46657025
I think the docs are great to read, but implementing was a completely different story for me, ie, the Ask AI recommended solution for implementing Claude just didn’t work for me. T…
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Comment #46656961
I do understand why it’s a product - it feels a bit like what databricks has with model artifacts. Ie having a repo of prompts so you can track performance changes against is good.…
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Comment #46629986
I’ve been slowing crunching through Math for Deep Learning, so spent a fair amount of time looking at Hessian matrices + second order optimisation. I’ve been slowly reading this bo…
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Show HN: Llama 4 Maverick explores Japantown in Watch Dogs 2
This is a little project we’ve been working on, which started as multimodal models physically controlling gamepads. It’s evolved a little bit since then and we now have a setup whe…
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Comment #46564587
Amazing! Thanks will join.
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Comment #46564376
This is fantastic. I think it’s nailed in the substack what was missing from a lot of these LLM driven NPCs that did not feel authentic. I have a couple of follow-up questions on s…
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Comment #46564348
GAMM in Rome is quite fun (Italy): https://www.gammuseum.com/en/ Shout-out to the museum of Ancient Greek technology, with their wine automaton (Athens, Greece): https://kotsanas.c…
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Comment #46564339
Bletchley is great! I need to go again
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Comment #46510140
Haven’t seen Wiby before but it’s fantastic, thank you.
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Comment #46505910
The response to the Sal Khan op-ed resonated with me, along with other parts of this article. Something I’ve been digging more into is some of the figures around proposed job losse…
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Comment #46505785
Thank you for putting it together. I looked at a couple of the references and they look like they point to your blog. Do you have a view at all of popular patterns in terms of cita…
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Comment #46496637
I thought Gas Town was a satire until I saw the GitHub. Maybe it’s a very involved satire? It is right? “ Do not use Gas Town.”
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Comment #46400717
Catch 22 is just fantastic isn’t it. I might re-read in 2026!
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Comment #46334806
Something I’ve been thinking about is how as end stage users (eg building our own “thing” on top of an LLM) we can broadly verify it’s doing what we need without benchmarks. Does a…