Viewing profile — mmoskal
mmoskal
HN member- Joined
- Thu, May 14, 2015, 4:43 PM UTC
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About mmoskal
Recent public activity
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Comment #49059796
Also 425 RMB is about $59 so $1 of tokens for $0.017 not $0.13 (the discount rate quoted also seems off).
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Comment #48869067
https://github.com/openai/cdc-lean
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Comment #48301474
I believe the App Store policy is you have to have a setting to disable ads. And Uber actually has it (though it has 8 different channels or so, apparently "Uber teen accounts" mar…
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Comment #48080289
If you want something with very small pcb footprint and DIY cheap cable try Hack connect https://arcade.makecode.com/hardware/dbg
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Comment #45932903
Grammars work best when aligned with prompt. That is, if your prompt gives you the right format of answer 80% of the time, the grammar will take you to a 100%. If it gives you the …
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Comment #45932866
OpenAI is using [0] LLGuidance [1]. You need to set strict:true in your request for schema validation to kick in though. [0] https://platform.openai.com/docs/guides/function-callin…
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Comment #45709531
I had good experience with carefully spaced holes in PCB and a 50 mil header, see https://jacdac.github.io/jacdac-docs/ddk/firmware/jac-connec...
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Comment #45388924
The previous article is in the same issue, in science and technology section. This is how they typically do it - leader article has a longer version in the paper. Leaders tend to b…
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Comment #45000469
Consciousness (subjective experience) is possibly orthogonal to intelligence (ability to achieve complex goals). We definitely have a better handle on what intelligence is than con…
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Comment #44928938
Counting to 2^61 probably is. To actually find a collision in 128b cryptographic hash function it would take closer to 2^65 hashes. Back of the envelope calculations suggest that w…
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Comment #44627166
Airplanes are dirty, unsafe and unclean?
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Comment #44620551
I think this is like unsafe - most of your code won’t have it, so you get the benefits of borrow checker (memory safety and race freedom) elsewhere.
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Comment #44197035
This seems way too readable! I think you should remove the character literals in the name of purity. Also, this is likely way more compact than Brainfuck, as the lambda calculus is…
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Comment #44165197
https://github.com/verus-lang/verus is similar tool for Rust (developed by previous heavy users of Dafny).
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Comment #44112610
They are reducing forward pass time from say 1.5ms to 1ms. On bigger model you would likely reduce from 15ms to 14.2ms or something like that.
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Comment #44112597
The sglang and vllm numbers are with cuda graphs enabled. Having said that, 1B model is an extreme example - hence the 1.5x speedup. For regular models and batch sizes this would p…
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Comment #44108662
As mentioned in other comments - in TypeScript which follows this gradual typing there is a number of flags to disable it (gradually so to speak). No reason ty wouldn't do it.
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Comment #44023919
If you change one letter in the prompt, however insignificant you may think it is, it will change the results in unpredictable ways, even with temperature 0 etc. The same is not tr…
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Comment #43948776
I don't know. I suspect most people rate data centers higher than almond milk...
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Comment #43943513
My understanding is that printing 300 page paperback costs like $2 while 50 pages cost $1.50. However you can clearly claim way more money for the 300 pages so publishers are not i…
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Comment #43906781
Very typical for anything with CUDA (they tend to compile everything for 10 different architectures times hundreds of template kernel parameters). Not sure about ClickHouse though.…
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Comment #43852009
To put this into perspective, driving for an hour in an electric car (15kW avg consumption) consumes about as much energy as 50,000 chatgpt queries [0] Running your laptop for an h…
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Comment #43827323
Spec decoding only depends on the tokenizer used. It's transfering either the draft token sequence or at most draft logits to the main model.
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Comment #43827140
Just for some callibration: approx. no one runs 32 bit for LLMs on any sort of iron, big or otherwise. Some models (eg DeepSeek V3, and derivatives like R1) are native FP8. FP8 was…
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Comment #43745837
Also ~noone runs h100 at home, ie at batch size 1. What matters is throughput. With 37b active parameters and a massive deployment throughout (per gpu) should be similar to Gemma.