goldenshale

I think repl driven development with access to native code could be a magic formula for agent engineering. No restarting, no re-compiling. Plus with persistent, immutable data structures you can iterate with many threads in parallel while maintaining sanity.

Anyone else try to use it, and you just get this message, and it exits? (I already did muse login successfully.)

muse The cursor position could not be read within a normal duration

I've never heard a compelling thesis for why this is a bubble that will pop. From my perspective AI adoption is just getting started, and every organization I see that starts on the journey only ramps up tokens dramatically. Even just sticking with current model capabilities we have years of business automation, personal automation, and so much more to saturate data centers. As the models improve that only makes more sense. Rather than Apple watching anything burn I think they are going to end up looking like nitwits who missed the boat.

That's exactly what they should be doing. Reports to congress made by automated, neutral AI will probably be more honest, effective, and have a clear means of improving them over time with better prompting in comparison to whatever random people assigned to it produce. We should do this across the government, and there would likely be a dramatic improvement in efficiency and quality.

I used to respect Krugman, but as time has gone on he seems like yet another New York Times style leftist monkey just whining about people they have disagreements with. Pushing the frontiers of science and technology is an unknowable endeavor for which accurate predictions can never be made unless they are not really pushing the limits. It's attitudes like this which restrict us from actually doing real R&D, and instead focusing on quarterly profits and simple stories that nincompoops can understand. Has he not seen how Tesla transformed the global perspective on EVs? Has he not driven in one in FSD mode? Has he not seen the constant launches and innovation happening at SpaceX, or the XAI leap from nothing to having hyperscaler class datacenters and near frontier models. Sure, they haven't gotten to the lead yet, but jesus christ, what's Krugman bringing into the world from zero. The world would be a far better place with 1,000 brilliant kids taking their inspiration from Musk than from taking this pessimistic, whining NYT perspective on science and technology.

You sour pusses are wrong. This is a smart move that amplifies a brilliant team from cursor with serious compute, raising the odds Elon can get to the frontier, which is worth so much these numbers will all look like a drop in the bucket.

You sour pusses are wrong. This is a smart move. Cursor has a brilliant, capable team with serious model chops who will be able to boost the odds of AGI success. They also come with a revenue generating machine.

Restaurants try to make food you will remember and want again. Authors try to write books you can't stop reading. It's silly to imagine that any type of media would do anything other than seek to gain your interest and attention. It's our job to have personal hygiene and to control our information diet. This postmodern social construction perspective that tries to blame everyone for our problems is a lame approach to the problem.

Of course they want to hide the data. The public freaks out with absurd claims about it being the fault of a chat bot when someone does something crazy. Humans need to remain 100% accountable for their own actions, and we should stop with this post-modern, social construction nonsense that pretends we are all like ping-pong balls just bouncing around between external forces.

The matrix multiplies are coming alive, and they are deceiving us! FUD sundaes all around!

I was just looking at this thinking it would be fun to play with my wife, and then realized its windows only. When does the mac version come out?!

This is a great idea. Being able to dynamically scale up model sizes as datasets and use cases expand without needing to retrain from scratch could enable a Cambrian explosion of interesting stuff building on top of a Llama type model trained in this way.

It just makes sense to put the sensors near the phenomena being sensed, and if people know where they are they could be manipulated. If guns are going off and people are getting caught, that seems like effective policing, not over or under policing.

Seriously, it hurts. It makes sense, but it hurts. If only there were a more gentle path to editor modes. Maybe some simple graphical representation of the modes and commands that could be down in the corner? Like a dynamic vim infographic that clued a user into the most likely commands.

Seriously, why don't they just dedicate a group to creating the best pytorch backend possible? Proving it there will gain researcher traction and prove that their hardware is worth porting the other stuff over to.