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1.
Alibaba shares rally after unveiling its 'most powerful' AI model as U.S.-China competition heats up (cnbc.com)
2.
Run Kimi K3 using 29 GB of RAM at 0.50 tok/s (news.ycombinator.com)
3.
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning (news.ycombinator.com)
4.
Show HN: I implemented a neural network in SQL (news.ycombinator.com)
5.
Reinforcement learning control of quantum error correction (feeds.nature.com)
6.
Tencent's Apache-licensed Hy3 takes on GLM-5.2 at half the size — and wins everywhere except coding (venturebeat.com)
7.
I keep tripping over "true, false, true" (news.ycombinator.com)
8.
I’ve banned query strings (news.ycombinator.com)
9.
A Theory of Deep Learning (news.ycombinator.com)
10.
Consequences of passing too few register parameters to a C function (news.ycombinator.com)
11.
Which one is more important: more parameters or more computation? (2021) (news.ycombinator.com)
12.
MegaTrain: Full Precision Training of 100B+ Parameter LLMs on a Single GPU (news.ycombinator.com)
13.
AI researchers are now studying LLMs as if they were living organisms (techspot.com)
14.
Reproducing DeepSeek's MHC: When Residual Connections Explode (news.ycombinator.com)
15.
LLMs contain a LOT of parameters. But what’s a parameter? (technologyreview.com)
16.
Titan’s strong tidal dissipation precludes a subsurface ocean (feeds.nature.com)
17.
Show HN: Mirror_bridge – C++ Reflection powered Python binding generation (news.ycombinator.com)
18.
Checked-size array parameters in C (news.ycombinator.com)
19.
Apple is paying Google $1bn to upgrade Siri with… Gemini (androidauthority.com)
20.
Just how resilient are large language models? (news.ycombinator.com)
21.
Just How Resilient Are Large Language Models? (news.ycombinator.com)
22.
Google releases pint-size Gemma open AI model (arstechnica.com)
23.
A Lisp adventure on the calm waters of the dead C (2021) (news.ycombinator.com)
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