Why does it need to empathise with something that doesn't have feelings in the first place? It clearly can learn from context. And experience? Again I don't see why it needs to feel anything.
I don't think it can learn from context, otherwise we could write Jane Eyre into it and it would be the novel? It's not learning as we conceive of it - it's another thing that we have labelled as "in context learning".
I have feelings, it needs to be able to empathise with me, or another driver, or a client...
1. It literally learns on data and gives outputs based on the context. I'm sure real time updating of weights will happen sooner than later.
2. What does intelligence have to do with feelings? It clearly doesn't learn like a human. Nor does it have to. Our world is filled with intelligence which behaves nothing like humans. Its a tool not another life form.
Tourism and travel is 10% of global GDP, or about 10 trillion dollars. And it's not the only sector where translation between languages is a benefit. However, I am not sure that the trillions of dollars of value from LLM translation in the coming few years will translate into trillions of dollars of income for the AI companies.
Commercial grade translation between dozens of languages would take enormous amounts of disk space.
But we'll see. Text editing tools are included on all digital devices, yet companies pay for commercial solutions like MS Office. Cameras and basic image editing tools are included on all smart phones, yet there are millions of advertising agencies around the world. And so on.
LLM frontier companies are more akin to infrastructure like chips and airplanes and the internet than applications built on top of it. There will be products built on top of them that generate revenue.
eg. processors are needed for everything on the planet. No Intel isn't going to generate annual revenue in the trillions because of that. In the case of frontier companies the moat is even smaller with dozens of players competing. LLMs will become a low-cost commodity. You meanwhile can make billions building applications using them though.
1.4 also adds a lot of features so its more than a port. Plus Claude Code has been using the rust port since atleast July 19. So its definitely less than 3 months.
Or, more likely, the amount of crappy auto generated code and “features” they crammed into this release resulted in so many bugs that a “simple rewrite” would up being 3 months of whack-a-mole with the issues they created. That’s the predictable result from the lack of engineering discipline involved here.
Claude Code has millions of users and like I said had been using the 1.4 canary a lot earlier than 3 months. But even 3 months is an absurdly impressive timeline for this. And its even more insane to think LLMs are only going to get better. Jeez.
Huh Tata is the best selling EV manufacturer in India.
Their new Chery tieup is utilizing the Freelander architecture from the Chery and Jaguar Land Rover (JLR) joint venture in China instead of a pricier internal or JLR roadmap. Remember they own JLR.
Do you know anyone in the arts? Musicians? I see more AI hatred on average in those sorts of communities than in tech, where there's a pretty even split.
It's funny because if people get replaced and don't have money they won't pay for API tokens either so the retail AI business collapses too, there won't be enough demand because people rather buy food.
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