Viewing profile — benob
benob
HN member- Joined
- Wed, Dec 06, 2017, 7:42 PM UTC
- HN karma
- 422
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- 181 items
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About benob
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Recent public activity
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Comment #49219394
Maybe the correct UX could be to list the locations of settings data, their size and ask the user whether they want to leave them, put them aside in a dedicated folder ("the attic"…
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Comment #49124018
What matters for this injection strategy to work is to follow quite closely the style of the reasoning. It's particularly effective if you copy reasoning from the same context. If …
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Comment #49121641
People will keep hiding reasoning because it allows prompt injection https://arxiv.org/pdf/2603.12277 , in addition to facilitating distillation (you don't pay the full cost of RL)…
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Comment #49121528
The next step is to build software without bugs
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Comment #48607531
Longest definition and semi-columns are strong biases for right answer. Also, my run contained a lot of adjectives for which it is pretty obvious that noun definitions do not match…
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Comment #48451621
It may be a clever move. By using the same models as android (contractually?), they can compete on the user experience which they typically handle better than android phone provide…
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Comment #48401583
And papers on bias amplification in ML predate LLMs. I remember this specific one which was a spotlight paper at EMNLP: Men Also Like Shopping: Reducing Gender Bias Amplification u…
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Comment #48146760
Does changing the date fix it?
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Comment #48114151
Deployed it to a huggingface space: https://huggingface.co/spaces/benoitfavre/needle-playground You can check the very simple docker file there.
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Comment #47868026
Here is llama-bench on the same M4: | model | size | params | backend | threads | test | t/s | | ------------------------ | ---------: | ---------: | ---------- | ------: | -------…
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Comment #47865140
I get ~5 tokens/s on an M4 with 32G of RAM, using: llama-server \ -hf unsloth/Qwen3.6-27B-GGUF:Q4_K_M \ --no-mmproj \ --fit on \ -np 1 \ -c 65536 \ --cache-ram 4096 -ctxcp 2 \ --ji…
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Comment #47859956
I miss the comment tagging system: insightful, informative, interesting, funny. It would make sense for hn.
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Comment #47736941
Space station tracking: https://flight-viz.com/cockpit.html?lat=40.64&lon=-73.78&alt...
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Comment #47736889
I just realized that a hash function is nothing less than the output of a deterministic random number generator xored with some data
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Comment #47736369
No, the failure is the human written prompt
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Comment #47646767
The author emphasizes accessibility and coherence as a benefit but another interesting one is composability which does not emerge naturally in the world of UI. Create a UI for a pa…
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Comment #47603351
"That allows us to license the open source project under the more permissive MIT license."
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Comment #47583309
I would say: - decomposition: discover a more general form of Fourrier transform to untangle the underlying factors - memorization: some patterns are recurrent in many domains such…
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Comment #47583209
Ollama is a user-friendly UI for LLM inference. It is powered by llama.cpp (or a fork of it) which is more power-user oriented and requires command-line wrangling. GGML is the math…
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Comment #47514233
Maybe they quantized a bit too much the model parameters...
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Comment #47514198
This is the worst lay-people explanation of an AI component I have seen in a long time. It doesn't even seem AI generated.
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Comment #47508071
This reminds me of Intel talking about faster web browsing with the new Pentium
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Comment #47443273
The real question is when will you resort to bots for rejecting low-quality PRs, and when will contributing bots generate prompt injections to fool your bots into merging their PRs…
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Comment #47439961
Reminds me of "Universal pre-training by iterated random computation" https://arxiv.org/pdf/2506.20057 , with bit less formal approach. I wonder if there is a closed-form solution …
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Comment #47333342
Time to start zig++