Wish I was smart enough to know how the math ties in with this article from last month
https://techcrunch.com/2025/10/19/openais-embarrassing-math/
Readit Newspiyh commented on Early science acceleration experiments with GPT-5 [pdf] cdn.openai.com/pdf/4a25f9... · Posted by u/gronky_
piyh commented on A graph explorer of the Epstein emails epstein-doc-explorer-1.on... · Posted by u/cratermoon
Why are they all moving, what does the time axis represent?
>A force-directed graph is a technique for visualizing networks where nodes are treated like physical objects with forces acting between them to create a stable arrangement. Attractive forces (like springs) pull connected nodes together, while repulsive forces (like electric charges) push all nodes apart, resulting in a layout where connected nodes are closer and unconnected nodes are more separated
piyh commented on How bad can a $2.97 ADC be? excamera.substack.com/p/h... · Posted by u/jamesbowman
> Dissolving in boiling sulphuric acid/nitric acid will make quick work of most epoxy packaging
That's the better method of course (results wise), but it's not nearly as accessible, hence my recent evangelism of the virtues of 2000 grit sandpaper.
I appreciate the effort, but the bar is already very high when you recommend a SEM in the same breath.
piyh commented on Beliefs that are true for regular software but false when applied to AI boydkane.com/essays/boss... · Posted by u/beyarkay
> Because eventually we’ll iron out all the bugs so the AIs will get more reliable over time
Honestly this feels like a true statement to me. It's obviously a new technology, but so much of the "non-deterministic === unusable" HN sentiment seems to ignore the last two years where LLMs have become 10x as reliable as the initial models.
Emergent misalignment and power seeking isn't a bug we can squash with a PR and a unit test
piyh commented on Ask HN: How can ChatGPT serve 700M users when I can't run one GPT-4 locally? · Posted by u/superasn
You have thousands of dollars, they have tens of billions. $1,000 vs $10,000,000,000. They have 7 more zeros than you, which is one less zero than the scale difference in users: 1 user (you) vs 700,000,000 users (openai). They managed to squeak out at least one or two zeros worth of efficiency at scale vs what you're doing.
Also, you CAN run local models that are as good as GPT 4 was on launch on a macbook with 24 gigs of ram.
https://artificialanalysis.ai/?models=gpt-oss-20b%2Cgemma-3-...
piyh commented on Fine-tuning LLMs is a waste of time codinginterviewsmadesimpl... · Posted by u/j-wang
Interestingly the author mentions LoRa as a "special" way for fine-tuning thatis not destructive. Have you considered it or you opted for more direct fine-tuning?
It's not special and fine tuning a foundation model isn't destructive when you have checkpoints. LoRa allows you to approximate the end result of a fine tune while saving memory.
piyh commented on VR Design Unpacked: The secret to Beat Saber's fun roadtovr.com/beat-saber-i... · Posted by u/stevenalowe
Another type of game with this characteristic is Table tennis simulators. Although the reduced field of view is a limitation, it just feels like wearing a strange helmet. Inner ear still matches the visual picture.
I've seen plenty of people try to lean on the table and fall over
This joke has its origins in the days when Soviet leadership was a series of men in their seventies who kept dying on the job.
It has acquired a certain acuity in today’s America where the leaders are a series of unpopular men approaching their eighties.
There is a widespread “Is He Dead Yet?” meme that’s the contemporary direct equivalent of the Soviet joke.
All I ask for are leaders born in the 1950s
piyh commented on Gemma 3 QAT Models: Bringing AI to Consumer GPUs developers.googleblog.com... · Posted by u/emrah
Meta Maverick is crying in the shower getting so handily beat by a model with 15x fewer params
>The Index measures where AI systems overlap with the skills used in each occupation. A score reflects the share of wage value linked to skills where current AI systems show technical capability. For example, a score of 12% means AI overlaps with skills representing 12% of that occupation’s wage value, not 12% of jobs. This reflects skill overlap, not job displacement.
>The Index reports technical skill overlap with AI. It does not estimate job loss, workforce reductions, adoption timelines or net employment effects.