@DefiIgnas 10/10 didn’t just break the cycle, it proved macro liquidity now completely overrides the halving narrative. The moment a single geopolitical headline can wipe out $19B in open interest in a day, the textbook 4 year cycle model becomes obsolete.
@gdb Legal at 88% and Finance at 91% is the real takeaway here. The bottleneck isn’t just writing the code anymore; it's using agents to automate the business logic and compliance guardrails around the code.
@synthwavedd Max reasoning effort is cool, but 'less token efficient' hurts. We are moving from optimized production models back to brute-force compute hogs.
The real meta right now isn’t chasing every new model drop or version ID. It’s realizing we’ve officially crossed the line where the bottleneck is no longer the AI's reasoning—it's how fast you can pipe your data pipelines and API logic loops to catch up.
Stop reading the benchmarks and just go build. 🛠️
@zerohedge The absolute irony of local dev hardware getting massively marked up because the cloud data centers we deploy to are hoarding all the memory modules.
@bridgebench The only source I trust to give us the real breakdown. Let us know the exact drop in the debugging and refactoring scores if they did nerf it.
The gap between having an idea and shipping a working MVP is officially zero.
The real skill now isn't writing the basic code—it’s how creatively you wire these agents together to build sustainable, automated systems. Time to update the API keys and build. 🛠️
Do you want to post this as a single thread right now, or should we adjust the focus of one of these tweets to talk about your specific automation projects?
THE AI LANDSCAPE IS SHIFTING FASTER THAN EVER.
With the new Claude Fable 5 rollout and secret new GPT models dropping, the meta for building just changed.
If you ship daily builds or run dev experiments, here is what you need to know 👇
At the same time, OpenAI is pushing deeper reasoning models into the backend.
When you combine deep thinking with huge context windows, complex logic loops become easy. The infrastructure is doing the heavy lifting for us now.
@Lentils80 If the reasoning depth on this actually bridges the gap toward autonomous background agents, enterprise workflows are about to look entirely different.
🚨 Claude Fable 5 is back and rollout is going on slowly
> few users reported it to me and i got screen recording proof for it
> i will run my macos test on it and post asap
> lets goooooooooooo.....