It's pencils down, people. Writing code by hand is no longer an economically viable skill for most programmers at most companies. But the future of making software has never been brighter. Don't you dare black pill this beautiful moment! https://t.co/qaCgfmkW0u
“There’s a popular argument that foundation models will capture all the value in AI, leaving little for the application layer.
Higgsfield is proving the opposite thesis, as better models expand what enterprises can achieve and increase the value of applications embedded in their workflows.”
It's pencils down, people. Writing code by hand is no longer an economically viable skill for most programmers at most companies. But the future of making software has never been brighter. Don't you dare black pill this beautiful moment! https://t.co/qaCgfmkW0u
Training models is becoming easier and easier - just look at this and TRL - especially with agents!
You're missing out if you're still using off the shelf models for all your tasks!
this is f*cking gold.
someone put the whole one-person company playbook on one page.
- pick one narrow problem.
- talk to ten buyers.
- write the case.
- publish one page.
- win the first customers by hand.
- automate what repeats.
AI handles research, content, sales prep, support and ops.
human (YOU) keeps the judgment.
that's the first solo fortunes of this era.
here's the exact guide to building the AI half ↓
save this and start today
2 things are happening:
- Frontier LLM coding capability plateaued. Since Opus 4.8, we haven’t seen massive jump.
- OSS models keep closing the gap with frontier closed models, while costing 10x-50x less.
That’s why we’re seeing a massive shift from closed models to OSS across enterprises.
every major company is arriving at roughly the same offering:
persistent memory, email/calendar/messages, browser + computer use, background tasks, proactive notifications, voice, app/tool execution, ambient context, & some notion of a personal agent sitting above everything.
remarkable levels of convergence with very little differentiation whatsoever.
Just a reminder that GLM 5.3 Flash, DeepSeek V4.1 Flash, Qwen 3.8 Next Flash, and even Qwen 3.8 27B are all outperforming (in both intelligence and capabilities) every model that was considered "frontier intelligence" in Xmas 2025 (just 10 months ago)
Opensource AI is on fire
first came jev. then laya. then laya-mlx. and now kev.
all system one decision models. all within a span of 3 days. never seen a race this fierce before.
let us breathe, folks. let us breathe.