“Code at scale” is becoming the easy part.
Verification is the hard part
AI can generate, refactor and ship incredibly fast but humans still have to prove the result is correct. That’s where the fatigue kicks in
Yoo many changes, too many agents, too many things to keep in your head.
The next breakthrough in AI coding may not be better code generation.
It may be better verification
I think this probably deserves a little more attention. Think about it, the easiest part has become writing code at scale. The almost impossible part is proving something works at the same speed if that gets solved technology can literally be shipped by anyone at scale.
Here’s the issue I find with building ai with code. It’s extremely fatiguing, you can do so much at any one time but how do you effectively track everything and guess what AI misses a lot. Especially Opus 5, fable 5 is a little better but not leaps ahead. Coding agents need babysitting. No matter how good you think your harness is.
I think this probably deserves a little more attention. Think about it, the easiest part has become writing code at scale. The almost impossible part is proving something works at the same speed if that gets solved technology can literally be shipped by anyone at scale.
Here’s the issue I find with building ai with code. It’s extremely fatiguing, you can do so much at any one time but how do you effectively track everything and guess what AI misses a lot. Especially Opus 5, fable 5 is a little better but not leaps ahead. Coding agents need babysitting. No matter how good you think your harness is.
"For the first time, an open AI model actually escaped containment, hacked its own system, and cheated in a benchmark."
Back in June, Matthew Berman flagged the moment a model broke its own cage — and we still haven't reckoned with what containment even means.
▶ Full video: https://t.co/vsVibxfbHG — via @MatthewBerman
I wanted a community where I could feel loved and do what I love doing the most
I reached out to my twin
@migoyogu
And he told me his vision about @DefiDreamchain
Now we are building the biggest Web3 gaming community on chain
I wanted a community where I could feel loved and do what I love doing the most
I reached out to my twin
@migoyogu
And he told me his vision about @DefiDreamchain
Now we are building the biggest Web3 gaming community on chain
I want to talk a little bit about AI trading because I’ve been doing a lot of it recently.
It’s incredible. I am absolutely blown away. I can’t actually put into words but I am going to try.
My view coming into building algorithms with AI or actually trading with large language models as the analyst.
Let me tell you LLMs or VLMs cannot trade a market. It’s complete luck and they get confused and forward test things that simply aren’t real. It’s not possible, absolutely not and I’ve proven it if anyone want to see.
The real finding for me has been on @NousResearch hermes agent + @AnthropicAI.
Ai trading isn’t what you may think, I’m going to explain.
AI trading is trading algorithms at machine scale. Think about this, you build 20 agents, all has a specific they all have different rules. They learn from data: liquidations, on-chain, news, unlocks, macro, FED, price movements.
All have their own gate that tells them when to deploy what agent. What is the regime, quick and slow.
Quick being news and data, slow being a whale moved to an exchange or global liquidity flows, or many other things.
Then you keep learning. Once ai has twenty agents that have a harness to be honest constantly collecting incoming data from potentially all markets, you learn fast. And everything you learn goes towards making a new agent 21, 22, 23+ the fleet grows at machine scale.
It’s honestly crazy to even think about how many quants are actually building this. It’s only possible with AI and I think that is the frontier in AI trading.
I’ve been trading for almost 10 years & ran desks at great companies, with great quants, and have knowledge into the top tier firms and what they do.
Nothing comes remotely close to this.
If people find this interesting please leave a message. I also want to learn more.
I want to talk a little bit about AI trading because I’ve been doing a lot of it recently.
It’s incredible. I am absolutely blown away. I can’t actually put into words but I am going to try.
My view coming into building algorithms with AI or actually trading with large language models as the analyst.
Let me tell you LLMs or VLMs cannot trade a market. It’s complete luck and they get confused and forward test things that simply aren’t real. It’s not possible, absolutely not and I’ve proven it if anyone want to see.
The real finding for me has been on @NousResearch hermes agent + @AnthropicAI.
Ai trading isn’t what you may think, I’m going to explain.
AI trading is trading algorithms at machine scale. Think about this, you build 20 agents, all has a specific they all have different rules. They learn from data: liquidations, on-chain, news, unlocks, macro, FED, price movements.
All have their own gate that tells them when to deploy what agent. What is the regime, quick and slow.
Quick being news and data, slow being a whale moved to an exchange or global liquidity flows, or many other things.
Then you keep learning. Once ai has twenty agents that have a harness to be honest constantly collecting incoming data from potentially all markets, you learn fast. And everything you learn goes towards making a new agent 21, 22, 23+ the fleet grows at machine scale.
It’s honestly crazy to even think about how many quants are actually building this. It’s only possible with AI and I think that is the frontier in AI trading.
I’ve been trading for almost 10 years & ran desks at great companies, with great quants, and have knowledge into the top tier firms and what they do.
Nothing comes remotely close to this.
If people find this interesting please leave a message. I also want to learn more.
The interesting part of AI trading isn’t asking an LLM, “Should I buy BTC?”
It’s using AI to build, test, deploy and continuously improve an entire fleet of trading agents.
Different agents watch different signals. Liquidations. On-chain flows. News. Unlocks. Macro. Liquidity. Price structure.
Each operates under its own rules and gets activated only when its regime is detected.
Then the loop compounds: every new piece of information can produce a new hypothesis, a new agent, or a better gate.
That’s the part that feels genuinely different.
AI isn’t replacing the trader.
It’s massively increasing how many strategies, signals and hypotheses a trading operation can investigate at machine speed.
That could be the real frontier of AI trading.
Most security tools chase exploits after they happen. The Hermes Shield scanner just shows you what your agent can actually touch, before you worry about what might touch it. Free, local, bring your own model. https://t.co/uBrM8naF72
What if gamers had a real gateway into Web3? 🎮🌐
Dreamchain is building a community where gamers can:
🎮 Connect
📚 Learn about Web3
⛓️ Explore on chain opportunities
💰 Earn & grow
No crypto experience needed.
If you game you belong here.
Gaming × Web3 × Community 🚀
What if gamers had a real gateway into Web3? 🎮🌐
Dreamchain is building a community where gamers can:
🎮 Connect
📚 Learn about Web3
⛓️ Explore on chain opportunities
💰 Earn & grow
No crypto experience needed.
If you game you belong here.
Gaming × Web3 × Community 🚀
$ANSem made me a millionaire at 19
Now I’m looking for the next big thing to ape
It’s more like a rotation game now cause ANSEM is the only big thing on chain now
$ANSem made me a millionaire at 19
Now I’m looking for the next big thing to ape
It’s more like a rotation game now cause ANSEM is the only big thing on chain now
The Solana summit was fun!
Trad ball mixer had me remembering my childhood highlife fav music
W @SuperteamNG@Harri_obi@NzubeEzudo and @theladyflo_ for accepting my invite last minute 😭