exolabs is teasing running an AI cluster that consists from your Macs and iPhones
https://fxtwitter.com/mo_baioumy/status/1801322369434173860

the brain activity when we talk is better explained by embeddings than with sounds or words
https://www.cell.com/neuron/fulltext/S0896-6273(24)00460-4

critical tcp/ip RCE (CVSS 9.8) in windows

https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-38063

Kaggle Expert level reached with the end-to-end competition solver
(the paper says grandmaster but ahem not quite)
https://wz.ax/agent-k/2411.03562

Updated Alibaba's Qwen 2.5 Coder model is
a) solid GPT4 level in code generation (okay),
but also
b) does that in less than 0.1x the resources compared to SOTA (llama3.1) just 3 months ago 🤯 (tested both myself)
https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct

https://www.youtube.com/watch?v=T7sxvrJLJ14

sometimes training your own model is /better/ than making an app.
also a lesson that sometimes you can reach SOTA by yourself!
https://moondream.ai/ rocks and so does @vikhyatk

curious approach, something akin to an in-context LoRA model finetuning (plus a lot of other tricks)
https://arxiv.org/abs/2411.07279

St. Peter’s Church in Lucerne, Switzerland has introduced an AI hologram of Jesus, called Deus in Machina, to take confessions. The AI sits behind a screen, providing advice and responding to worshippers' queries. One participant said, “I was surprised, it was so easy, and though it’s a machine, it gave me so much advice.”
https://www.disclose.tv/id/z33eqyr1bv/

PSA: Ubuntu 16..24 local privilege escalation vulnerability
https://github.com/makuga01/CVE-2024-48990-PoC

ironically it seems that the real Open AI is called Qwen (with DeepSeek not that far away)

this time, a 32B model competing with o1-mini

https://qwenlm.github.io/blog/qwq-32b-preview/

Kinda unremovable Linux-focused UEFI bootkit
https://www.welivesecurity.com/en/eset-research/bootkitty-analyzing-first-uefi-bootkit-linux/

Nous Research designers are really cracked
https://distro.nousresearch.com/

turns out the backdoor is a door after all ¯\_(ツ)_/¯
https://tuta.com/blog/china-salt-typhoon-worst-us-hack

writing things down helps if you want to commit;
but also attracts too much attention to what you just wrote and distracts from other possible options
https://arxiv.org/abs/2412.06769

AutoReason: Automatic Few-Shot Reasoning Decomposition
TLDR: explore simpler assertions in first prompt, draw conclusions in the second
https://arxiv.org/abs/2412.06975

cooperation and coevolution is the real alignment, not any kind of standardized testing (which will just get overfit)

Cultural Evolution of Cooperation among LLM Agents
https://arxiv.org/abs/2412.10270

https://x.com/conspiracyslyr/status/1868737204916552052?s=46
flat earthers visited the south pole, confirmed the earth isn’t flat and got expelled from the flat earth community 😅

Tachikomas (from the Ghost in the Shell universe) are now real!

this is how you do observability. or logging, or tracing, whatever you call it. preaching this for years, now somebody wrote the guide so I don't have to.
https://jeremymorrell.dev/blog/a-practitioners-guide-to-wide-events/

matches my experience 100%. I take a lot of notes, and they are super useful, but...

when I don't care how I might write something down that's like 3x boost to thinking speed and ~2x boost in available "context size", in LLM parlance

upd: actually, one of my biggest disappointments in childhood was that the words don't map 1:1 to what we now call "concept embeddings"

PDF: https://wz.ax/2024/language-is-a-tool-for-communication