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Viewing profile — sadiq

sadiq

HN member
Joined
Thu, Jul 19, 2007, 11:23 AM UTC
HN karma
5,054
Public activity
430 items

About sadiq

Computer Lab @ Cambridge, Co-founded Opsian, OCaml Multicore hacker

Recent public activity

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  5. comment
    Comment #45394555

    It's worth looking at Jan's trophy cabinet at the bottom of https://github.com/ocaml-multicore/multicoretests/ His work has uncovered a number of really tricky bugs in the multicor…

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    Comment #45384769

    So the interactive map should do this workflow for you. You place points and it will run the knn classifier over the landscape for you. If you want to go further you can export the…

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    Comment #45384218

    I would try https://github.com/ucam-eo/tessera-interactive-map , this is relatively easy to get started with and has a nice interface for labeling. https://github.com/ucam-eo/geote…

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    Comment #45384169

    It's possible to use embeddings as input to a convolutional network and then train that using labels. We've done that for at least one of the downstream tasks in the TESSERA paper:…

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    Comment #45384140

    I was a lot more optimistic about Gabriel's model than he was. It is essentially a presence-only species distribution model where accuracy depends largely on assumptions around pre…

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    Comment #45384066

    We did note several places during the trip that didn't contain bramble. The hotspot in the middle of the residential area was also entirely isolated. For a proper evaluation you wo…

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    Comment #45379372

    It might work. TESSERA's embeddings are at a 10 metre resolution, so it might depend on the size of the features you are looking for. If those features have distinct changes in col…

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    Comment #45379115

    If you have some GPS locations of truffles, you could use the notebook Anil mentioned here https://news.ycombinator.com/item?id=45378855 and give it a go. There is the issue of jus…

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    Comment #45379075

    That's actually a great idea! I wonder what kind of feature size would be needed though - TESSERA's embeddings are at a 10 metre resolution so for larger structures you might need …

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    Comment #45378823

    Hyperspectral data is really neat though it's worth pointing out that TESSERA is only trained on multispectral (optical + SAR) data. You are very right on the temporal aspect thoug…

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    Comment #45378732

    Yes! TESSERA is very new so we're still exploring how well it works for various things. We're hoping to try it with a few different things for our next field trip, maybe some that …

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    Comment #45378695

    Hi! You can find a bit more about Gabriel's model through some of his posts over the last few weeks: https://gabrielmahler.org/posts/ When it comes to the satellite images, the mod…

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    Comment #44900337

    You might find https://arxiv.org/abs/2401.17377v3 interesting..

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    Comment #44801063

    Looks like Groq (at 1k+ tokens/second) and Fireworks are already live on openrouter: https://openrouter.ai/openai/gpt-oss-120b $0.15M in / $0.6-0.75M out edit: Now Cerebras too at …

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    Comment #44536791

    Excellent, look forward to giving this a go. I was looking at: https://arxiv.org/abs/2506.18254 but your approach is even more general.

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    Comment #43929024

    This is a really nicely written and illustrated post. An advanced extension to this is that there are algorithms which calculate the number of records to skip rather than doing a t…

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    Comment #43859978

    This is good though it's not clear whether these papers will appear in the PMC Open Access subset ( https://pmc.ncbi.nlm.nih.gov/tools/openftlist/ ) and be bulk downloadable. I've …

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    Comment #43602864

    There's a related write-up here you might find interesting: https://wandb.ai/learning-at-home/LM_OWT/reports/Parameter-s... It covers some experiments on weight tying, one of which…

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