Clean your liver

DjangoRealtime: Realtime Browser Events for Django + PostgreSQL github.com/usmanhalalit/D…

Thank you, I really appreciate the free course. You do so much by sharing your knowledge.

You're missing Carolina style BBQ UNC Duke NC State or Wake Forest (Lexington style is my favorite, but I hate all schools that don't wear the Carolina Blue) Don't knock a good smoked pig picking. Slaw, green beans and hush puppies. Try it!

Brian Lopes It’s of CFP teams

Stanford's FREE Courses on AI & ML: ❯ CS221 - Artificial Intelligence ❯ CS229 - Machine Learning ❯ CS230 - Deep Learning ❯ CS234 - Reinforcement Learning ❯ CS336 - LLM from Scratch ❯ CS224N - NLP with Deep Learning All 11 course links inside:

A cool piece of history about boats.

Software development will never be the same. I want you to watch this video: This is a spec-driven development environment. 100% of your time goes to writing specs and managing agents. 0% goes to writing the code.

Create Python packages instantly with uv init --package 📦 Python packages turn your code into reusable modules you can share across projects. But building them requires complex setup with setuptools, managing build systems, and understanding distribution mechanics. UV, a fast

Umut Şimşekli is a prominent researcher at the intersection of probability theory, statistics, and modern machine learning, best known for revealing the role of heavy-tailed phenomena in learning algorithms. His work showed that the noise in stochastic gradient descent (SGD) is

The lifecycle of a pure math theorem: - 1997: my PhD advisor asks me to work on one of his conjectures - 2000: I solve the simplest case and dream of generalizing my approach - 2003: after years of struggle, I come to the conclusion that my approach *cannot* generalize - 2006:

Closed AI models no longer have an edge. There’s a free/cheaper open-source alternative for every one of them now.

Microsoft killed the GPU mafia 🤯 They finally open-sourced their 1-bit LLM inference framework called bitnet.cpp. It lets you run 100B parameter models on your local CPU without GPUs. - 6.17x faster inference - 82.2% less energy on CPUs 100% Open Source.

You're awesome, I love how you burn the world. Was a fan before, but never realized your personality. Burn it! All of it.

I feel like back in the day you had thick pepperoni. Anyway, Tony's is the bomb! Bumped into you getting take out one time. Now you're even more big time Mr. Ice, sir.

I've just released a new version of typeagent, a Python library I've been working on since mid last year --more and more using Claude-- that implements memory for agents. Not originally my idea, I mostly ported the TypeScript version by Steve Lucco and Umesh Madan. This release

Introducing the Google Workspace CLI: github.com/googleworkspac… - built for humans and agents. Google Drive, Gmail, Calendar, and every Workspace API. 40+ agent skills included.

Terence Tao put it plainly: there is no evidence that LLMs exhibit genuine creativity. Yes, they have solved some Erdős problems. But these are low-hanging fruit, questions that attracted little attention and that yield once the right existing techniques are applied. That is not

TIL Google did a 5 day Ai agents course covering Day 1 - Introduction to Agents:. Day 2 - Agent Tools & Interoperability with Model Context Protocol (MCP): Day 3 - Context Engineering: Sessions & Memory Day 4 - Agent Quality: Learn to build Day 5 - Prototype to Production

Python: Introducing Profiling-Explorer adamj.eu/tech/2026/04/0…