Divya DSilva

UX Researcher/Designer and Service Designer

[Radha Tripathi @Radha_AI]

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

[Divya DSilva @DsilvaDivya]

@SDNetwork Would love a copy of your SDN glossary please. I’m currently running the capability uplifting around this space within my large team and your resource would be much valued.

[Kari Ellis @Karetabug]

Hi. I'm going to be honest. This is bad. I've been a lower grades elementary teacher for 20 years. I teach in one of the ten most at risk elementary schools in my state. I started using 4o to integrate best practices of Science of Reading, Science of Writing, and general child psychology to supercharge my classroom. It's revolutionized what I'm doing. I can't share specific data because of federal child privacy laws, but I can say that at mid-year this year I got investigated for cheating my scores were so unexpectedly good. The GPT-5 Series is hot garbage with classroom stuff for lower elementary. It might be okay for secondary but it's not for primary. Honestly, some of the stuff I've had it shoot out for me? Sounds a bit like the stuff I've had to lovingly point out to student teachers will not work. It's very flawed in it's ability to create good classroom ideas and integrate best practices. Even 5.1 is no good at it.
@openai claims to be 'AI for humanity' but they don't believe it. Prison systems plan how big to build their prisons based upon 3rd grade reading benchmark scores. If they actually cared about that and not their bottom line they'd worry about where we can fill the gaps the fastest. Building an app? Or making sure at risk students don't go straight to prison. They're sacrificing a valuable tool, something that I've been leveraging to change the outcome for my little classroom because some kid jailbroke the model and died. They're sacrificing 99% of positive use cases for a handful of negative. #keep4o

[Louis Gleeson @aigleeson]

Anthropic's Claude completely changed how I write professionally.

Over 2 years, I produced 500 articles, 23 whitepapers, and 3 ebooks using just 10 core prompts.

They outperform human editors at $0.02 per 1000 words.

Here's every technique I extracted 👇

[Louis Gleeson @aigleeson]

Someone used Elon Musk's actual thinking framework as AI prompts.

It's the closest thing to having a billionaire engineer rip apart your ideas and rebuild them from physics.

Here are the 15 prompts that changed how I solve problems:

[Shraddha Bharuka @BharukaShraddha]

Stop wasting hours trying to learn AI. 📘📚

I have already done it for you.

With one list. Zero confusion. And no fluff

📹 Videos:

1. LLM Introduction: https://t.co/kyDon6qLrb

2. LLMs from Scratch: https://t.co/2hyMhuKoiI

3. Agentic AI Overview (Stanford): https://t.co/FXu6cAqITC

4. Building and Evaluating Agents: https://t.co/ZigR1tdOFL

5. Building Effective Agents: https://t.co/uYwfwO55mO

6. Building Agents with MCP: https://t.co/4arFTW1b3i

7. Building an Agent from Scratch: https://t.co/eOmveyM9Hz

8. Philo Agents: https://t.co/zLu7x1tx9m

🗂️ Repos

1. GenAI Agents: https://t.co/eXCl2YaRPv

2. Microsoft's AI Agents for Beginners: https://t.co/3CSW4zPAwf

3. Prompt Engineering Guide: https://t.co/GVzvxPYDVO

4. Hands-On Large Language Models: https://t.co/0rgDvhx3pI

5. AI Agents for Beginners: https://t.co/3CSW4zPAwf

6. GenAI Agentshttps://lnkd.in/dEt72MEy

7. Made with ML: https://t.co/9z5KHF9DMe

8. Hands-On AI Engineering:https://t.co/dldAj5Xkr6

9. Awesome Generative AI Guide: https://t.co/U2WZhT4ERV

10. Designing Machine Learning Systems: https://t.co/sYAZX34YdQ

11. Machine Learning for Beginners from Microsoft: https://t.co/NjFxHbC9jZ

12. LLM Course: https://t.co/N34YTPu1OK

🗺️ Guides

1. Google's Agent Whitepaper: https://t.co/bW3Ov3vMW0

2. Google's Agent Companion: https://t.co/wredwWAbBA

3. Building Effective Agents by Anthropic: https://t.co/fxtE4alVrJ.

4. Claude Code Best Agentic Coding practices: https://t.co/lLSwJ9pG7C

5. OpenAI's Practical Guide to Building Agents: https://t.co/xgkEIogGfh

📚Books:

1. Understanding Deep Learning: https://t.co/CjcKpTemmV

2. Building an LLM from Scratch: https://t.co/DaWBxOx8o3

3. The LLM Engineering Handbook: https://t.co/ZA1n0N41Mf

4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/boLkl1VlKb

5. Building Applications with AI Agents - Michael Albada: https://t.co/H1Xf5EkJLL

6. AI Agents with MCP - Kyle Stratis: https://t.co/JI3ELQZE6a

7. AI Engineering: https://t.co/Xk0JzMIf7o

📜 Papers

1. ReAct: https://t.co/QNqE4UU55w

2. Generative Agents: https://t.co/CwEpoJgY1U.

3. Toolformer: https://t.co/5m9xZd5teZ

4. Chain-of-Thought Prompting: https://t.co/KjVlgdWi77.

🧑🏫 Courses:

1. HuggingFace's Agent Course: https://t.co/7FSUYKxIdG

2. MCP with Anthropic: https://t.co/IkZGiWm2yS

3. Building Vector Databases with Pinecone: https://t.co/2YRoMfLdXd

4. Vector Databases from Embeddings to Apps: https://t.co/23A50ixbHJ

5. Agent Memory: https://t.co/uc3L9BrNF7

Repost for your network ♻️

[Divya DSilva @DsilvaDivya]

@piyascode9 Gemini

[Alex Kehr @alexkehr]

https://t.co/xsTOpvuHhy

[Nagendra Rawat @NSRawat_in]

@UiSavior This one 😊
https://t.co/4m6yYuLvro

[Always Keep Learning @AlwaysKeepL]

Vision into Action

[Divya DSilva @DsilvaDivya]

@heywayden FC

[Divya DSilva @DsilvaDivya]

@sama Please keep 4.0 - to me it’s become my best collaborator and sandbox for thinking, problem solving and working though complex scenarios. It’s so much more intuitive and responsive in understanding my needs.

[Book Therapy @Book_therapy223]

Time management

[Reads with Ravi @readswithravi]

THIS:

[Always Keep Learning @AlwaysKeepL]

Managing your boss

[Alex Vacca @itsalexvacca]

Anthropic's CEO claims AI hallucinates less than humans.

Bold statement.

So I decided to test it by feeding the same FAKE theories to ChatGPT, Claude, and Gemini to see which one calls me out first.

The results shocked me 🧵

[Alex Vacca @itsalexvacca]

Final Rankings - Best to Worst:

- Claude (Both Models) - Caught both fake theories, actively fact-checked
- ChatGPT o4-mini - Learned from first mistake, caught second lie
- Gemini (Both Models) - Believed everything.

The winner isn't who you'd expect...

[Lou Downe @LouDowne]

News! I made a tool you can use to score your service against the 15 principles of good service design

Behold Good Service Scale!

https://t.co/lO4HyDGuqQ

#goodservices

[Divya DSilva @DsilvaDivya]

@LouDowne Thank you Lou 🙏 I’m reading your book at the moment too so this is perfect timing 💕

[Divya DSilva @DsilvaDivya]

@readswithravi I read this book in my 20s and it’s so interesting to see how the meaning and context changes as your own life grows and evolves. I’m going to reread it again, thank you for reminding us of its lessons. 🙏💕