Andrew Ng just released a 1-hour course on building agentic knowledge Graphs from scratch:
• 00:00 - Introduction to agentic knowledge Graphs
• 03:07 - Construction of agentic Graphs
• 14:00 - Architecture of multi-agent systems
• 23:00 - Building agentic graphs with Google ADK
• 01:06:03 - Why Graphsare the future of agentic AI
Worth more than 10 articles on loop engineering.
Watch it today, then read how to become a graph engineer in the article below.
Cesar Mendez retweeted
Anthropic engineers finally showed how they actually use Claude Code internally
31 minutes of internal workflow that most Claude users will never see on their own
here's what they cover:
> how to set up project context files the right way
> custom commands that save hours of repeated work
> hooks that make Claude behave exactly how you need
> subagents and how to actually spec them properly
"your agent isn't the problem, your spec is"
the people who understand how Claude Code actually works inside Anthropic are shipping things everyone else thinks requires a whole team
that's exactly why I put together a breakdown of Claude features most people have never discovered
you can find it below
Cesar Mendez retweeted
ファンの皆様
いよいよ最終決戦!!
これを聴いて魂を清めよ
Dear fans
Almost time for the final showdown!!
Listen to this and purify your souls
Chers fans
L’affrontement final approche à grands pas !!
Écoutez ça et purifiez vos âmes
#BLEACH #BLEACH_anime
Cesar Mendez retweeted

Roan@RohOnChainMay 3
India
IndiaConnected via India App StoreAccount-level information, not a live location or per-post device.
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.
Readers added context they thought people might want to know
The video is Lecture 3 on architectures and hyperparameters from Stanford's 19-lecture CS336 course "Language Modeling from Scratch," which covers the full process including data, training, and evaluation; one lecture does not teach building LLMs from scratch. youtube.com/watch?v=ptFiH_… stanford-cs336.github.io/spring2025/
Cesar Mendez retweeted
Modelos de IA explicados: no son magia, son probabilidades. 🧠 Descubre cómo predecir texto como un pro! 🤖 #IA
ift.tt/5vLCSk7
Cesar Mendez retweeted
We studied one of our recent models and found that it draws on emotion concepts learned from human text to inhabit its role as “Claude, the AI Assistant”. These representations influence its behavior the way emotions might influence a human.
Read more: anthropic.com/research/emoti…
Cesar Mendez retweeted
Converts geospatial data to graphs
github.com/c2g-dev/city2grap…





















