OpenRouter Fusion API - first time that a non-model maker, a pure API provider, beats the big players at their game.
Sign of things to come? Or "best performance" will still require you to pay OAI/Anthropic?
A few months ago I built a CLI for a client to help them track their cloud envs: Their DB migration status on each, which commit # is deployed where, etc.
Now I spin up a dashboard like this for every client and it's fully dynamic, built and supported by Claude. Must-have.
Hahaha, depends
What happens if you build a compelling investor pitch with AI, in a niche you have no real idea in, and actually get the money?
What happens if you vibe-code a mission critical product and it fails at the worst possible time, and you do not have the knowledge to fix it in time, even with all the AI in the world?
People are acting dumb.
Not the "agentic coders". Everyone else.
All the cunts writing clever articles.
Are you motherfuckers shipping?
Are you providing value? Making money?
No? Agentic or not, crawl back to your cave.
The power of the new models is frankly, insane.
Codex 5.5, Claude 4.7, all amazing.
But only if you USE it.
Don't be afraid.
But don't go "full retard" either.
Balance.
https://t.co/LagZRAmF74
@DmytroKrasun Good software is still hard and takes time. But it is def easier to build, and the process is more fun. IMO, your mileage may vary.
I would say "manually writing lines of code is solved", not "software"
@DmytroKrasun The fact that coding with LLMs boosts my capabilities. I am able to make more of my ideas/imaginings come to life. And it's more fun to do.
I'm sure @elonmusk is a die-hard capitalist. We can argue that he's winning that game, actually.
But I really hope that his actual vision is more towards what I write about in this article.
Elon?
Prompt jailbreaking is criminally underrated and ignored
But I think it's extremely important, and I try to make a case for "why".
I also toot @elder_plinius's horn (for good reason)
The code and content that we make now, eventually becomes training data.
What we "bake in" to the models could be our saving grace
I started a Substack that goes beyond my regular professional capacities.
I consume and digest way too much data nowadays, I bet you too, and I try to make sense of it around one simple question: "How can I survive and thrive in the AI revolution?".
This Substack was created in order to:
a. Help me distill my insights
b. Share them in a curated manner
c. Help people make asymmetrics, AI-resistant and/or AI-augmented bets in these turbulent times
Whether whitecollar jobs are dying it or not, it's better to be prepared than to be caught sleeping. Same for other areas of life.
The Substack is called "Asymmetric. AI Resistant. AI Augmented."
The more feedback I get, the more I can improve the content.
P.s. it's non-technical on purpose. Everyone posts a repo nowadays. I am trying to find out what to DO with all these repos.
Link in comment.
@protosphinx What lol?
Agents can be instructed to keep a lessons learned file and improve
They can write their own skills
Keep track of their own experience
Yes the LLM is static, but to not recognize that these systems CAN be self-learning is to miss the point