
The underrated part of the windows codex app release is that the native agent sandbox is fully open source Use it, fork it, build w/ itt! https://
github.com/openai/codex/t
ree/main/codex-rs/windows-sandbox-rs
…

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The underrated part of the windows codex app release is that the native agent sandbox is fully open source Use it, fork it, build w/ itt! https://
github.com/openai/codex/t
ree/main/codex-rs/windows-sandbox-rs
…
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oki let's create an amp and pedals simulator for guitar using NAM format

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New course: Build and Train an LLM with JAX, built in partnership with @Google and taught by @chrisachard.
— Andrew Ng (@AndrewYNg) 4 mars 2026
JAX is the open-source library behind Google's Gemini, Veo, and other advanced models. This short course teaches you to build and train a 20-million parameter language… pic.twitter.com/iBJTIjTOIW
New course: Build and Train an LLM with JAX, built in partnership with @Google and taught by @chrisachard. JAX is the open-source library behind Google's Gemini, Veo, and other advanced models. This short course teaches you to build and train a 20-million parameter language model from scratch using JAX and its ecosystem of tools. You'll implement a complete MiniGPT-style architecture from scratch, train it, and chat with your finished model through a graphical interface. Skills you'll gain: – Learn JAX's core primitives: automatic differentiation, JIT compilation, and vectorized execution – Build a MiniGPT-style LLM using Flax/NNX, implementing embedding and transformer blocks – Load a pretrained MiniGPT model and run inference through a chat interface Come learn this important software layer for building LLMs! deeplearning.ai/short-course…
→ View original post on X — @andrewyng, 2026-03-04 18:41 UTC
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I don't know, these coding agents seem to be pretty average all along.

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Codex for Windows is here! > Native Codex app on Windows via the Microsoft Store
> Local PowerShell execution with a native Windows sandbox
> WSL support, but not required
> Full app features: Skills, Automations, Worktrees, review, parallel threads
> Windows-native setup for
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Now it looks like Codex was not necessarily OPTIMIZING certain algorithms for specific hardware, it was using APPROXIMATIONS instead to speeding things up. And all the benchmarking scripts might have been just the smokescreen. TWO WEEKS OF COWORK DOWN THE DRAIN!!!! AAARRRGH!!!
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Anthropic created a one-click system that allows users to export history from ChatGPT or Gemini into a single code block for instant import into Claude. Genius move.

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Roadmap to learn Agentic AI AI fundamentals
Python + frameworks
LLMs
Agents architecture
Memory + RAG
Planning & decision-making
RL & self-improvement
Deployment
Real-world automation
Agentic AI = full-stack intelligence.
Credit: Tiksly
#AgenticAI #LLM #RAG #A
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Headed to Texas for #SASInnovate? Roll up your sleeves, fire up your laptop and dig into the data at the #SASHackathon Boot Camp. Happening on Day 1, get a taste of SAS' annual hackathon with this opportunity to analyze data that mirrors real-world scenarios and collab with other… pic.twitter.com/vN8BPGaqzX
— SAS Software (@SASsoftware) 4 mars 2026
Headed to Texas for #SASInnovate? Roll up your sleeves, fire up your laptop and dig into the data at the #SASHackathon Boot Camp. Happening on Day 1, get a taste of SAS' annual hackathon with this opportunity to analyze data that mirrors real-world scenarios and collab with other
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here's where it gets interesting. the researchers probed whether models internally "know" they're done. they introduced TSearch, which scores partial reasoning traces by cumulative log-probability across the entire chain, not just the next token. when you let the model explore