@matthieurouif@ylecun@photoroom_ML Fair enough, we are building for somewhat different audiences. But also differing philosophies about quotas/tokens.
I would go toe-to-toe with our Remove tool. I’m biased but still believe no one comes close to the quality of ours.
@Cointelegraph Humans write bugs too. The challenge has always been there but highlights we have yet to solve verification and distribution improvements that can keep up with the new pace of development.
@abrilzucchi LA wins every time for weather. It averages more days of sunshine than Miami, more moderate temperatures, less humidity, and a short 50 minute flight to SF.
Love grocery delivery but produce is still a crap shoot. Why is the only option for potatoes quantity instead of weight? The latter would likely be a better option for most cases…
Opus 4.6 is so good. I’ve built 3 new very sophisticated features in just a few hours… features we’ve estimated in the past taking many man months to build.
Our limits now are only our imagination, and how fast we can test things.
One of the biggest opportunities available to anyone entrepreneurial right now in their company is to be the person that helps their organization understand and deploy AI agents.
Deploying agents is hard. There is still a relatively narrow universe of people with this skill. While all of the best practices are available online, you have to be paying attention to every new thing that comes out around coding agents, memory, filesystem and tool use, agent harnesses, context engineering, and so on.
And the best practices in this space just continue to compound, which means the farther ahead you are the more you understand about how to deploy what comes up next.
So if you can do that, you will look like you have a time machine to any company you join. Huge opportunity.