Daks

Tech | RE | Web3 | @veefriends | @AlchemyLearn | @myBFF | 🏰 | @guildxyz

[Gary Vaynerchuk @garyvee]

https://t.co/ToS7tgWz63 all new friends and curious come say hi in discord right now

[VeeFriends @veefriends]

Cardboard Summer is officially here!

We’re coast to coast for events, tournaments, and two more qualifiers on the road to the VeeFriends TCG Championship in NYC this October.

Here's the full summer events lineup 🧵

[Neuralink @neuralink]

After a car accident left her paralyzed from the neck down, Audrey didn’t think she would be able to draw or paint again.

20 years later, she became the first female participant in our clinical trials. Now, she uses her brain-computer interface to create art with her mind.

[Gary Vaynerchuk @garyvee]

https://t.co/XNTBzTvmmH

IM LIVE!

[VeeFriends @veefriends]

Didn't get 2026 Topps Chrome via EQL? You still have two more opportunities!

S1 Holder Sale (guaranteed Mega Box access):
May 14, 12PM ET - May 15, 6PM ET

Public Sale on June 10th, stay tuned for more details closer to launch day.

[VeeFriends @veefriends]

Accountability is the bridge between who you say you are and who you actually are. 🐜

[VeeFriends @veefriends]

Thank you, Mom. 💕

Happy Mother's Day to all the moms out there. 🫶

[Claude @claudeai]

We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity.

This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.

[Boring Security @BoringSecurity]

If you have apes not on a hardware wallet, reach out to us.

If it’s the anxiety of moving them over, we’ll sit on a call with you and explain step by step how to move them over. Free.

If you don’t have a hardware wallet, we’ll find a way to get you one.

[Gary Vaynerchuk @garyvee]

https://t.co/U2dXoB86Xn

[VeeFriends @veefriends]

Happy Monday. The world wants you afraid, don't give it the satisfaction. 💜

[VeeFriends @veefriends]

We all need to be more Self-Aware Hares 💜

[Nikita Bier @nikitabier]

𝕏 has always been the best source of financial news for traders and investors. Billions of dollars are allocated every day based on what people read on Timeline.

Today we're launching our new Cashtags feature in the US and Canada on iPhone, bringing real-time financial data to X.

Here's how it works:

1. When you search for or post a cashtag (or contract address), X will automatically suggest matching stocks or crypto tokens, so you can select the exact asset you had in mind.

2. Anyone who taps a Cashtag will see posts mentioning it along with its price chart—without ever leaving X.

This ensures that you're always matched to the chatter for the right stock or token.

Cashtags are just the first step in our commitment to be the best destination for the finance and crypto community.

[XChat @chat]

Your encrypted chats deserve their own app.

Pre-order now: https://t.co/TM8Lk7AMGV

[NASA @NASA]

Experience the magic of our Moon mission wherever you go! ✨

Download free, mobile wallpapers and bring your device into the new era of exploration: https://t.co/494ZyUBtve

[Nikki Siapno @NikkiSiapno]

MCP vs RAG vs AI Agents

To understand modern AI systems, you need to understand how these three pieces fit together.

𝗥𝗔𝗚 = “𝗚𝗶𝘃𝗲 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝗻𝘀𝘄𝗲𝗿𝘀”
RAG retrieves relevant data, injects it into the prompt, and generates a grounded response. It’s best when your problem is answering questions using your docs, reducing hallucinations, or showing sources and citations. RAG improves what the model knows, not what it can do.

If you’re building with these patterns, here's a great guide on scaling multi-agent RAG systems: https://t.co/Z7tHSIOdQe

𝗠𝗖𝗣 = “𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲𝗱 𝘁𝗼𝗼𝗹 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗮𝗰𝗰𝗲𝘀𝘀”
MCP is a standardized interface between LLMs and external systems like APIs, databases, and apps. Use it when your model needs to query data, call services, or interact with real systems (Slack, GitHub, etc). MCP doesn’t decide actions, it defines how tools are exposed.

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 = “𝗠𝗮𝗸𝗲 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝘁𝗮𝗸𝗲 𝗮𝗰𝘁𝗶𝗼𝗻”
Agents operate in a loop: observe → plan → act → repeat, often using tools and memory. Use them when your problem requires multi-step reasoning, tool usage with verification, or full task execution. Agents start where RAG stops, turning decisions into actions and outcomes.

The simple mental model:
RAG → knowledge layer
MCP → tool layer
Agents → execution layer

Not every system needs all three explicitly, but complex ones often combine them.

If you want to see what this looks like in practice, this guide walks you through building a scalable multi-agent RAG system.

Check it out: https://t.co/O44TfMahWt

What else would you add?

♻️ Repost to help others learn AI.

🙏 Thanks to @Oracle for sponsoring this post.

[VeeFriends @veefriends]

Who's ready to be a H.E.R.O.?

Tune in tomorrow night on VeeFriends Whatnot at 7PM ET with @garyvee as he reveals what it all means!

Bookmark: https://t.co/Wiah2a0kys

[Nikita Bier @nikitabier]

The team is finally hitting a rhythm of launching 2-3 net new features weekly and it feels great.

The next month will be all about specialized features for X’s biggest communities—including artists, finance people, situation monitors, and many more subgroups.

[Gary Vaynerchuk @garyvee]

https://t.co/PgIfTJVGqM