nbili

😄

[Shubham Mishra 🐐 @shubh6200]

This playlist is super underrated when it comes to understanding the engineering behind trillions parameter LLM inference from first principles by @thecommitlog

Save it for your weekend watch :
https://t.co/2VNA1WteiU

[Roan @RohOnChain]

Don't waste 2 years learning to build LLMs like Claude & ChatGPT.

Stanford just dropped a 2 hour course on how to build LLMs from scratch.

• 00:00 - LLM tokenization
• 25:44 - how LLMs decode user prompts
• 35:40 - training pipeline of LLMs
• 1:16:47 - LLM architecture from scratch

Anthropic pays $750,000/year to engineers who understand this exact knowledge of LLMs.

Bookmark this & give 2 hours today, no matter what. Then read the article below.

[Eric Jang @ericjang11]

Amazing tutorial! I understood 5% of it 😭

[elvis @omarsar0]

Great paper on self-improving agent harnesses.

(bookmark it)

If you maintain a production agent harness, finding every file behind one behavior is often harder than writing the edit.

Harness Handbook builds a three-level map from runtime behaviors to source locations using static analysis and LLM-assisted structuring.

Its BGPD workflow guides coding agents from the system overview to relevant stages, functions, and files, then verifies every candidate against current source.

Across 60 modification requests on Codex and Terminus-2, handbook guidance raised planning win rates from 28.3% to 38.3% and from 26.7% to 45.6%.

Planner token use fell 12.7% and 8.6%.

File- and symbol-level F1 improved in all 24 comparisons against GPT-5.5 and Opus 4.8 reference plans. Complete localization misses fell by as much as 25.9 points.

This is a strong pattern for coding agents that need to evolve large harnesses without losing scattered or rarely executed behavior.

Paper: https://t.co/DW7mIEuPr5

Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

[CJ (Coding Garden) @CodingGarden]

Watch 🍿

https://t.co/bYylK83w2x

[Jun Song @jun_song]

Open Source AI updates :

> GLM-5.2 ✅ Almost Opus-level
> Kimi-K3 ✅ Almost Fable-level
> Qwen-3.8 🔜 2.4T, Expected to beat Opus
> Deepseek V4 GA 🔜 $0.0028/M Expected to beat Opus
> Minimax-M3-Pro 🔜 3T, Expected to be Fable-level
> GLM-5.5 🔜 Expected to beat Opus

Holy

[nbili @nbilicheng]

@Folke look forward

[AK @_akhaliq]

Baidu just released Unlimited-OCR

[Matt Van Horn @mvanhorn]

https://t.co/95lFnAyw0e

[memo akten @memoakten]

My babies are getting so smart, it's freaking me out.
I was looking forward to using GA or bayesian optimisation to find a sweet set of parameters, but hand-tuning is giving scarily good results. I cant stop watching!
(No global coordinator, all acting entirely on local cues)

[nbili @nbilicheng]

@Neovim Thanks for all your hard work

[Neovim, e/plugins @Neovim]

Nvim 0.12 released.

sweet, sweet release.

[Cheng Lou @_chenglou]

My dear front-end developers (and anyone who’s interested in the future of interfaces):

I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

[nbili @nbilicheng]

@yuxiyou @voidzerodev VAI

[Dan ⚡️ @d4m1n]

https://t.co/vR5WMT4v82

[Ryan Carson @ryancarson]

https://t.co/b8RRfADhx5

[Richard Seroter @rseroter]

The Next Two Years of Software Engineering https://t.co/uIJSBJdzVa < these are five crazy-relevant questions to ask of yourself and your team. @addyosmani then offers strong recommendations to consider.

[ℏεsam @Hesamation]

if you want to feel stupid today watch this guy implement a machine learning library from scratch in C using neovim in just 2:26 hours.

[fuko @notacheetah]

🔥 fuko's interactive guide to @tan_stack db is now in BETA! ✨

Some highlights:

1. 🔬 Live API request panel

Watch API requests related to queries/mutations in real-time! Zero noise, only relevant data.

#tanstackdb

[Una 🇺🇦 @Una]

@maxedapps Yup! We just released CSS Wrapped for this year which underscores this: https://t.co/TSCcAn6CXx