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[Granite @Granite0x]

He leads engineering on Gemini at Google.

instead of keeping his Claude setup private, he open-sourced it.

Addy Osmani. That Google: Chrome DevTools lead, "Learning JavaScript Design Patterns" author.

'agent-skills' - his personal loadout. Drop-in for any project.

68,925 stars. MIT.

→ https://t.co/n7NI3Sr7uu

bookmark it. This is how your Claude setup goes pro.

[Movez @0xMovez]

Anthropic just dropped 5 workshops on building self-improving agentic systems from scratch:

00:00 - Ship your first Claude agent
36:44 - Build memory for Claude agents
1:05:06 - Make your agent autonomous
1:26:46 - Set up a proactive agent
2:03:35 - self-improving agents (tools,skills)

These 3-hours of free Claude workshops will replace 10 paid agentic courses.

Watch today, then read article below on how to build a self-improving agentic system with Fable 5.

[elvis @omarsar0]

New research from Microsoft Research

I see a lot of AI engineers handwriting agent skill docs and hope they generalize.

Probably not optimal. This works show why.

It treats the skill doc as a trainable external state of a frozen agent instead.

It introduces SkillOpt, where an optimizer model makes validation-gated edits to the skill file. It adds, deletes, or replaces instructions, with a textual learning rate that controls how aggressively each round rewrites the doc. The agent itself never changes.

SkillOpt is best or tied on all 52 (model, benchmark, harness) cells.

On GPT-5.5 it adds 23.5 points in direct chat, 24.8 with Codex, and 19.1 with Claude Code over no skill. It beats human-written skills, TextGrad, GEPA, and EvoSkill, carries zero extra inference-time cost, and the learned skills transfer across models and harnesses.

Paper: https://t.co/mNgTmmT32U

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

[Roan @RohOnChain]

Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch. Stanford taught the entire thing in 1 hour lecture & released it for free.

Bookmark & watch this today before someone takes it down.

[Anatoli Kopadze @AnatoliKopadze]

Anthropic CEO: "AI will write 100% of code within a year"

developers spend 4 years in university learning to code
Claude learned it from every book ever written

if the hardest skill is already handled - the gap is no longer about what you know

it's about how well you've configured the tool that knows everything

most people haven't done that yet

the article below is where you start

[Radha Tripathi @Radha_AI]

Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture on AI careers. It will teach you more about winning in the AI race than all the AI content you’ve scrolled past this year.

[Tushar Mehta @thetymonbay]

@Radha_AI Actually, Andrew Ng's website works better

https://t.co/8Kx3LMcKaC

[NeilXbt @neil_xbt]

ANDREJ KARPATHY COULD HAVE CHARGED $2,000 FOR THIS COURSE.

He put it on YouTube.

The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo.

3 hours of the most comprehensive LLM education that exists anywhere at any price.

Not how to use the tools.

How the entire system was built from the ground up and why it behaves the way it does.

The engineers who understand this build things the ones who only use the tools cannot even conceive of.

The gap between those two groups is not 3 hours.

It is everything those 3 hours quietly unlock for the rest of your career.

[Khairallah AL-Awady @eng_khairallah1]

https://t.co/rqmJCCumMf

[Ruben Hassid @rubenhassid]

People think learning AI takes months.

It's really just a couple of hours.

And I wrote 17 free guides to start right away:

Claude 101: https://t.co/Jv1jsvFB7T
Claude Code: https://t.co/WYZd5ltnXo
Claude Skills: https://t.co/jT4uB5AFtY
Nano banana 2: https://t.co/qfHT594CCI
Claude in Excel: https://t.co/mfcXYSA57j
Best AI for Search: https://t.co/77BmjbJjP0
1M followers with AI: https://t.co/1TV9LYAptv
Claude for your team: https://t.co/U1JsBVC299
No prompt saves you: https://t.co/SDKJWykHE4
AI Slides (PPT in 2026): https://t.co/RfcyYRQ2Ad
Set up Claude Cowork: https://t.co/diDhiKjHtU
Claude to sound like you: https://t.co/99RzxXTvzs
Claude interactive charts: https://t.co/ebCHGZqgPt
Claude as your computer: https://t.co/TxYuHPiImn
Claude Cowork + Project: https://t.co/Q7AN9CZ2mg
You're an AI workaholic: https://t.co/mCIvB3ZPA5
Setup AI before prompting: https://t.co/pE3OF722aw
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[Vaishnavi @_vmlops]

Roadmap to Become an Agentic AI Engineer
in 2026

https://t.co/wgts1ttEqh

[Swapna Kumar Panda @swapnakpanda]

MIT's FREE AI & ML Courses

❯ 6.036 - Machine Learning
❯ 6.S191 - Deep Learning
❯ 6.034 - Artificial Intelligence
❯ 18.05 - Probability and Statistics
❯ 18.06 - Linear Algebra
❯ 18.S096 - Matrix Calculus

All course links inside:

[Matt Dancho (Business Science) @mdancho84]

Bayes' Theorem is a fundamental concept in data science.

But it took me 2 years to understand its importance.

In 2 minutes, I'll share my best findings over the last 2 years exploring Bayesian Statistics. Let's go.

[DeepLearning.AI @DeepLearningAI]

Twice a week, Data Points brings you the latest AI news, tools, models, and research in brief. In today’s edition, you’ll find all about Mistral's new model, how Runway trained its video model, and more.

Read and subscribe to Data Points: https://t.co/wqb1AA3FFw

[David Andrés @daansan_ml]

Introduction to some Advanced EDA Techniques 👇

[Reygan Dionisio @ZahlenRMD]

Normal Distribution (The Empirical Rule)

#sharingisthenewlearning

[Josep Ferrer @iamjosepferrer]

The Transformers architecture clearly explained 👇🏻

[World Bank Data @worldbankdata]

The @WorldBank's Global Payment Systems Survey compares cashless transactions, laws, and payment systems worldwide in six charts.

Swipe for charts 1 -5, read the blog to see chart 6!

https://t.co/Pz54jmaMIB #GPSS

[DeepLearning.AI @DeepLearningAI]

🤗 Just launched: "Quantization in Depth," a new collaboration with @HuggingFace.

Build your own linear quantizer from scratch in PyTorch, exploring symmetric and asymmetric modes, and various quantization granularities.

Enroll for free: https://t.co/0uMy0ML2QN