Post-Space notes:
- Agents are generating the perfect training data and so closing the loop between that is going to be the biggest unlock this year.
- Users still treat AI agents as a chatbot. They still don't understand the power and leverage of AI agents.
- Many jobs should be shifted from execution to monitoring.
- What's an agent without data? It's basically useless.
More insights are coming!
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Going live in 2 hours.
$470M in AI Agents on Base: real economy or just hype?
We’re breaking down what’s actually working (and what’s not).
Set a reminder → nitter.net/i/spaces/1nJOLEnRdXnxR…
EXTRA: Giving away X Premium in the thread 👇
“It's the speed in which it gained interest from a mainstream perspective.”
On our last Space, @Argentum_aguila from @OptimaiNetwork shared what surprised him most about OpenClaw and how quickly it moved into the mainstream.
Intelligence needs direction.
Understanding why gives agents that direction.
Context shapes decisions > decisions shape systems
We give agents the why.
Insight #2
A key theme around OpenClaw has been privacy and local execution.
As @whizbeats shared, data staying on your own device was a big deal for him.
Insight #1
When people talk about AI, they usually focus on the model.
But as @OptimaiNetwork pointed out during the Space, the more important layer sits underneath it.
It starts with the data agents learn from.
We’re live in 2 hours.
Talking about:
– Did the hype outrun reality?
– What proof would actually make you try it?
– What does “success” even mean here?
Set a reminder nitter.net/i/spaces/1AKEmOmgDWRKL…
RobotFi insights — from our Space:
- Better AI models and real demos are what made robotics stand out again
- Robots already work best in structured, repetitive environments
- CES showed AI moving beyond chatbots into physical devices
- Robots need to be predictable, not perfect
- Outside controlled settings, robots still rely heavily on humans
BTW X Premium giveaway winners were selected 🎉
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nitter.net/CurareCrypto/status/20…
Every. Single. Deep Block.
Every block adds something new to the chain
Single agent sees only the end result of those changes
DeepBlock turns each block into a clear snapshot, so agents always act with the full context in view.
context → state → execution
Join the waitlist: premint.xyz/deep-block
Going live in ~3 hours.
RobotFi
Real perspectives from builders.
🎙️ w/ @flibberFDN, @Big_Viki, @mindkit_dao, @LazbubuAI, @Bullshot911, @EdgeAI_xyz
🎁 Live waitlist giveaway at the end
Set a reminder and join us live.
Let's talk about robotics and crypto.
What’s actually happening, where this could land first, and how builders see it today.
📅 Feb 5, 15:00 UTC 🔗nitter.net/i/spaces/1OyJAjZaDybxb…
“AI should support decisions, but not make them for you.”
@luizabr1402 from @PundiAI talks about where AI helps, and where replacing judgment quietly breaks trust.
Listen ↓
Post-Space notes:
- AI works best as a co-pilot.
- Advice becomes risky when people stop questioning it.
- Garbage data? Garbage AI. Every time.
Big thanks to everyone who joined.
More details ahead.
Starting the year with a simpler, more intentional approach to AI.
What to keep.
What to drop.
How AI actually fits into daily work.
A conversation worth having early in the year.
📍 January 15, 15:00 UTC
🔗 nitter.net/i/spaces/1djxXWqvaZvJZ…
Given the same environment,
10 different models converge on the same action
because DeFi execution is a constraint problem.
Structured data makes those constraints visible.
Insight #1
Numbers feel comforting because they settle things fast.
As @Yashwannthh mentioned during the Space, once a number exists, people rarely look past it.
A large share of failed swap routes fail before execution:
— inconsistent pool snapshots
— mispriced hops
— missing fee tiers
— wrong block height
— partial liquidity reads
Fix the data → fix the route.
Agents only execute what the environment allows.