BREAKING Elon Musk endorsed my Top 26 Essential Papers for Mastering LLMs and Transformers Implement those and you’ve captured ~90% of the alpha behind modern LLMs. Everything else is garnish. This list bridges the Transformer foundations with the reasoning, MoE, and
LLMS
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Google Turbo Quant LLM Running Locally on MacBook Air
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Google Turbo Quant running Locally in Atomic Chat
— Chubby♨️ (@kimmonismus) 27 mars 2026
MacBook Air M4 16 GB
Model: QWEN3.5-9B
Context window: 100000
Summarising 50000 words in just seconds..
You can do 3x larger context window, processing 3x faster than before!
They are first that have integrated Google… https://t.co/3hrWncqJtgGoogle Turbo Quant running Locally in Atomic Chat MacBook Air M4 16 GB
Model: QWEN3.5-9B
Context window: 100000 Summarising 50000 words in just seconds..
You can do 3x larger context window, processing 3x faster than before! They are first that have integrated Google -

Major AI Tools Coming Soon from OpenAI Google Anthropic
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Google is also working on a new internal ai tool called „agent smith“. It seems very popular within the company. So we are waiting for – OpenAI „spud“ (few weeks)
– Claude Mythos (Q3/2026)
– Googles Agent Smith (later this year) -
AI Automation Eliminating Code Reviews and Developer Workflows
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nice followup from Ankit: https://
x.com/ankitxg/status
/2036487355981234377?s=20
… and @TheNoahHein : https://
x.com/TheNoahHein/st
atus/2037573208707137639
… and https://
molochinations.substack.com/p/no-more-code
-reviews-lights-out-codebases?triedRedirect=true
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AI Models Master SwiftUI Development Without Xcode
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I've been vibe coding SwiftUI menu bar apps for my new Mac, turns out Claude Opus 4.6 and GPT-5.4 are both competent at Swift programming, no need to even open Xcode!
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4 Essential Books on AI LLMs and Generative Intelligence
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Explore 4 amazing books on AI, LLMs, Gen AI by @AltoValentina v/ @PacktDataML AI Agents in Practice: https://
amzn.to/4p98LYl Practical Generative AI with ChatGPT: https://
amzn.to/4oXSXHI Building LLM-Powered Applications: https://
amzn.to/4iNimjQ Modern Gen AI with ChatGPT -

Boost Coding Productivity with GitHub Copilot and ChatGPT
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Supercharged Coding with #GenAI — From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI: https://
amzn.to/3VBH2Su v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Discover how GitHub Copilot, ChatGPT, and the OpenAI API can boost your coding productivity Push -

DRIFT Framework: Dual-Model Approach for Long Document Processing
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Tired of LLMs losing context on super long documents? Researchers from Shanghai AI Lab, Fudan, & Tongji Universities unveil DRIFT! Their new framework uses a clever dual-model approach: one AI finds and compresses relevant facts into "implicit fact tokens" — query-specific
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Agent 4 Content Challenge Winner: Dari.fyi for Central Asia Diaspora
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Week 1 winner of the Agent 4 Content Challenge:
— Replit ⠕ (@Replit) 27 mars 2026
Rahim Siddiq 🎉
Built: https://t.co/S8aozLfvQh Duolingo for the Central Asia diaspora https://t.co/eemfRd7r0Z pic.twitter.com/QodIKVNI11Week 1 winner of the Agent 4 Content Challenge: Rahim Siddiq Built: http://
Dari.fyi Duolingo for the Central Asia diaspora -

Why I Shill Droid 24/7: Eight Major Accomplishments Today
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Here's why I shill Droid 24/7 ———- Today Droid single-handedly: 1. Published a REAP of GLM-5 in FP8, there's a reason no one else has done it DSA is still very new: huggingface.co/0xSero/GLM-5-… 2. Found and Fixed an upstream issue with VLLM + DSA + Hopper where GLM-5's kv-cache would need to recompute and spend 20x the time needed, fixed. 3. Created multiple working quantisations on it's own, it tried exl3 and autoround but both failed so resorted to GGUF (autoround 3 bits doesn't work on ampere) huggingface.co/0xSero/GLM-5-… 4. Implemented github.com/0xSero/turboquant within 24 hours of the research paper coming out, tested it across 5090s, 3090s, H100s, and B200s 5. Has been distilling larger models into LoRA to help me test arxiv.org/abs/2505.21835 and it got an 80% prune to be semi-coherent again. 6. Helped my find research papers, clean up slop with the human-writing skill. 7. Got BYOK working with Anthropic, ZAI, Kimi, MiniMax, OpenAI working in Cursor github.com/0xSero/factory-cu… 8. Helped me Implement blog.comfy.org/p/dynamic-vra… 's dynamic loading, only works on a tiny model, but still. ——- I only have to check in on it every 30-45 minutes (I am talking all 8 of my sessions) the thing will run for 16 hours with like 0 prep All this while I am mostly focused on my actual job and tweeting 24/7 Keep in mind each one of these experiments is running on a different server, with different constraints, like I don't understand how I can get such good results here. ——— I love novelty. Which is why I jump around and talking about all these different tools. I have used all of these harnesses and messed around with every feature. I keep coming back to this, and I keep shilling it because I sincerely wish others get to experience this.
→ View original post on X — @nathanlands, 2026-03-27 19:36 UTC
