Yes, I'm surprised there isn't more conversation around this being a way of the administration lashing out at Anthropic like they tried to do with the supply chain risk maneuver.
In 20 years I expect basically all of these to move to web-based interfaces and away from thick clients. You're already seeing graphics heavy use cases like CAD do this (Onshape has been hugely popular and is cloud native on Linux). Even behemoths like SAP are increasingly web enabled through fiori.
Not on the same scale as AI, but my first ever AirBnB host still owns harley.com. He made his money writing "The Yellow Pages of the Internet" physical books and had turned down numerous lucrative offers from Harley Davidson.
Really fascinating and quirky guy as you can probably infer from the site.
Yes, I've been waiting for a real breakthrough with regard to 3D parametric models and I don't think think this is it. The proprietary nature of the major players (Creo, Solidworks, NX, etc) is a major drag. Sure there's STP, but there's too much design intent and feature loss there. I don't think OpenSCAD has the critical mass of mindshare or training data at this point, but maybe it's the best chance to force a change.
In this case it's not a direct duplicate of the link, but another post on the same topic. I find there is value in reading through the previous discussion that I may not have otherwise seen.
"If you show revenue, people will ask 'HOW MUCH?' and it will never be enough. The company that was the 100xer, the 1000xer is suddenly the 2x dog. But if you have NO revenue, you can say you're pre-revenue! You're a potential pure play... It's not about how much you earn, it's about how much you're worth. And who is worth the most? Companies that lose money!"
Seems like cool framework, but I'm bothered by the example image around having AI research and generate a blog post. This is exactly the sort of thing I don't want.
AFAIK geo-replication between regions _does_ replicate the entire dataset. It sounds like you're describing RAID configurations, which are common ways to provide redundancy and increased performance within a given disk array. They definitely do that too, but within a zone
It's not novel research, but I think it drives home the point that many narrow applications of AI do not require the largest, latest (and most expensive) models. And in many of those cases, a small fine-tuned model is the most performant and cost-effective.
It is probably obvious to most who follow the space closely, but you'd be surprised how many engineers don't recognize this.
This matches my experience exactly. I use a standard QWERTY setup on the moonlander, with only changes being the thumb clusters and changing caps lock to backspace. After a few days of practicing, it feels natural and seamless to switch back and forth.