This 2 hour Stanford lecture shows exactly how Stanford trains it's engineers to build AI systems. It's more practical than every Claude tutorial & prompting threads you've seen.
Bookmark & give it 2 hours, no matter what. It'll be the most productive thing you do this weekend.
Google just dropped a FREE AI Agents course.
And almost no one is talking about it.
10+ code samples, whitepapers, hands-on projects... all in one place.
Here’s the full breakdown (5 days):
Day 1: Foundations of AI Agents
Learn how agents actually work:
• Architecture
• Capabilities
• How they differ from LLMs
→ Build systems that can perceive, plan, act
Whitepaper: https://t.co/LGGc7UDLX2
Code: https://t.co/8XFiroXqKz
Day 2: Tools & MCP (Model Context Protocol)
Agents don’t work alone.
Learn:
• Tool usage & APIs
• MCP architecture
• Human-in-the-loop workflows
Whitepaper: https://t.co/YklFh27OX9
Code: https://t.co/iMMpPsEgox
Day 3: Context Engineering (Memory)
This is where agents become powerful.
• Sessions → short-term memory
• Persistent memory → long-term learning
Whitepaper: https://t.co/KWAOnwjXaz
Code: https://t.co/ctlpTBNUdU
Day 4: Agent Quality
Production-ready systems need reliability.
Learn:
• Logs, traces, metrics
• Evaluation frameworks
• LLM-as-a-judge
Whitepaper: https://t.co/kSaz3DK8Q3
Code: https://t.co/96DYJj4trU
Day 5: From Prototype → Production
Where most people fail.
• Deployment strategies
• Scaling agents
• Agent-to-Agent communication
• Vertex AI ecosystem
Whitepaper: https://t.co/rYub7sP1aP
Code: https://t.co/xtU4CTP3Ek
This is basically a complete roadmap to building AI agents in 2026.
And it’s 100% free.
Save this. You’ll need it later 💾
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R.I.P. al basic prompting.
El MIT acaba de presentar una técnica que hace que ChatGPT razone como un equipo de expertos en lugar de como un pasante demasiado confiado.
Se llama “Metacognición Recursiva” y supera a los prompts estándar en un 110%.
Aquí está el prompt (y por qué esto lo cambia todo) 👇
Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and @jyx_su made it much better.
I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop -- waiting ~6 months for feedback each time -- was painfully slow. We wanted to see if an agentic workflow can help researchers iterate faster.
When we trained the system on ICLR 2025 reviews and measured Spearman correlation (higher is better) on the test set:
- Correlation between two human reviewers: 0.41
- Correlation between AI and a human reviewer: 0.42
This suggests agentic reviewing is approaching human-level performance.
The agent grounds its feedback by searching arXiv, so it works best in fields like AI where research is freely published there. It’s an experimental tool, but I hope it helps you with your research.
Check it out here: https://t.co/n7ctnDilJJ
Thank you to our clients, partners, and the wider business community for naming @Accenture one of @FortuneMagazine’s World’s Most Admired Companies for the 23rd consecutive year and #1 in our industry.
@Accenture's latest research shows that only 8% of companies are successfully integrating AI into their core strategy, driving transformation, and unlocking new value.
Learn the key strategies that set AI front-runners apart:
https://t.co/e8HTGmFKxv
#Accenture#AI#GenAI
AI is about delivering measurable value. We analyzed over 2,000 gen #AI client projects, surveyed more than 3,000 C-level executives and mobilized insights from our experts to drill down on lessons learned in implementing and scaling gen AI: https://t.co/bbrko9s0DY
#Accenture and #NVIDIA have expanded their partnership with the formation of a new NVIDIA Business Group, designed to help the world’s enterprises rapidly scale their AI adoption. https://t.co/TRI5R4ivAB
Reinvention is survival. Leaders build AI-native Digital Cores that adapt in real time, unify data, and scale fast. This blog shows how—and why it’s time for you to do the same: https://t.co/ro1CJCfne0
#DigitalCore#GenerativeAI#CloudInfrastructure
Reinvention is survival. Leaders build AI-native Digital Cores that adapt in real time, unify data, and scale fast. This blog shows how—and why it’s time for you to do the same: https://t.co/ro1CJCfne0
#DigitalCore#GenerativeAI#CloudInfrastructure
Reinvention is survival. Leaders build AI-native Digital Cores that adapt in real time, unify data, and scale fast. This blog shows how—and why it’s time for you to do the same: https://t.co/ro1CJCfne0
#DigitalCore#GenerativeAI#CloudInfrastructure
Tech moves fast but trust moves people. You can have the best #AI in the world—but if stakeholders don’t trust what’s behind them, adoption stalls. Learn why trust must be the starting point of responsible AI in this episode of Foresight in 15: https://t.co/I9TEWwOhAB