implexa_founder

5 ms·

1.
by implexa_founder 3mo ago
I see a great tension in the market today. On one hand you want agents to work reliably and that needs a lot of harness, computer use, model routine, tasks running longer etc. And on other hand you simply want to reduce your dependencies an
2.
by implexa_founder 3mo ago
i'm tired of this narrative about switching to open source models. If people wanted to switch... well they would have switched! The amount of effort Anthropic and OpenAI are putting behind inference, harness, building great agentic app
3.
by implexa_founder 3mo ago
you have been asking about "extended thinking" from a machine that has been "dreaming". good luck!
4.
by implexa_founder 4mo ago
I mean who doesn't use AI today to write but thoughts are my own. thanks for commenting though :)
5.
by implexa_founder 4mo ago
I totally support you guys so don't take it as a dig! But isn't this mindblowing that while you were building and launching, Opus 4.8 launched and made a bunch of things you mentioned above irrelevant? for example, memory between
6.
Commoditized intelligence is the labs' moat, not their problem(implexa.ai)
1 points by implexa_founder 4mo ago|2 comments
7.
by implexa_founder 4mo ago
research skills break differently than dev skills. dev skills want determinism. research skills have to retain the wrong turns, or you've stripped the actual artifact. worth knowing what your skill flow logs before you trust the output
8.
by implexa_founder 4mo ago
recursive skill-building's the obvious move. the missing piece is outcome tracking. without knowing which skill closed which loop, "deliberate" just means "you made one." the loop closes on the data, not the demo.