>> In my dream world, the robots do all the boring jobs and humans spend all their time being creative, connecting with one another, learning about the universe, and sharing our ideas and creations in a great big prosperous circle.
In the world we actually live in, we're on track for the robots to take all the creative jobs, leaving boring and dirty jobs for the humans.
Consistently impressed with the performance of Grok, given they started so much later than everyone else and, in some ways, are less well funded compared to OpenAI and Anthropic. I wonder how much of this is just luck, name recognition, or management style. Marc Andreesen likes to talk about how Elon companies have a unique engineering-heavy management structure, which contrasts the research heavy cultures of OpenAI and other labs, and it makes me wonder if that sort of thing could be behind their relative success.
They're the company that builds laptops people still use 5-10 years later. If anything they've set the standard for long lifespans when it comes to tech devices.
I completely agree. I started with aichat[0] before the current agent trend and hit all kinds of bumps implementing agentic loops on my own. Then goose[1] showed me what a whole team working toward the same idea could do right before the official Claude Code harness which had all the bells and whistles. Now I know better what I want and its mostly less ram usage and a small set of primitives.
I still use Claude code (and codex and other big contenders) because they know what they are doing and innovate in ways I don't want to miss. And sometimes they are better at tasks.
> by our estimate the amount spent will be smaller still at $8 trillion,* because most households receiving an inheritance are already affluent and likely to save or invest much of what they receive
I mean, you theoretically still could have that, USB decks send MIDI signals (even though I found it a bit obtuse trying to get my FLX4 to control anything except VirtualDJ - I was trying to map it to grandMA lighting controls). The TUI here could be primarily a presentation layer. I think the main benefits would be a) more hackable than VirtualDJ and b) it looks cool.
Why don't they say "Suprise suckers, we are a BUSINESS and you are a SUPPLIER and we don't need to order from you again. Yes sure we said FAMILY but we meant in the borrow your car keys sense of the word. Enjoy job hunting. BTW we have some open positions, let us know if you know anyone."
Ed Zitron also said that consumers were losing interest in ChatGPT in January 2024, that AI models were reaching their upper possible limits in Feburary 2024, that ChatGPT and similar products were "not particularly useful for anything", that hallucinations could not possibly be reduced in models, etc.
He's a churlish AI skeptic that isn't worth listening to.
The first attempt was with video, but she later switched to exactly that, a 19000 lines per second 2048 pixel line scan imager. It was augmented with 6dof acceleration/gyro sensor, gps, and microcontroller to get the data to a laptop.
Ahh you found the link I couldn't find with a search.
Yes — they claim that it is likely to be able to assess confidence in whether the statement it just made is correct. But it isn't going to be capable of that while it is answering.
Maybe give them a second? Yes, it's usable for applications web views if you're willing to restrict yourself but for general purpose web browsing there's still a lot that needs doing (but work is progressing). Under Google's management, web tech has grown fast. And it's an ever shifting living standard. There is a lot for any alternative browser engine to implement, let alone keep pace with the changes.
You certainly can't ask an LLM for its confidence level because it will generate that answer as it sees fit.
My understanding was that models can be post-trained to assess their own confidence on short prompts within a level of accuracy (there was an article about this a few weeks ago that I can't find), but can't use it to reason, and that research has shown that internally they effectively have a measurable sense of truth but can't surface it:
I mangled what I was trying to say but the point I guess is, it is effectively in there, and researchers can see it and therefore score it, but it is not something the LLM can use.
The problem seems to me (layman's understanding at best) that the LLM is inherently confident within the words of its answer, because of what the model is trained to do and how it is trained. So you can never get an accurate "I don't know this" from a model.
(One of the things that is most interesting to me at the moment is asking a small local LLM what it knows about a topic and then testing it. It can only know what it knows and can have no idea of what it doesn't know, but any question about what it knows is seemingly going to trigger it to work through all the summary word associations it does know, so it can sort of summarise its knowledge that way, without any sense of introspection)
they never had my business; their style over all else along with the combination of planned obsolescence and conspicuous consumption are obscene misuse of the human heuristics.
A fund went up 400% by making a few highly leveraged, concentrated bets. The market moved against its leveraged positions and it was forced to quickly sell to a rival fund, at only an 80% profit.
Nothing about that is meaningfully the same as Lehman Brothers other than the most superficial aspect of "A financial thing went down fast"
"stayed out of it" needs to be considered relatively though, doesn't it? I don't see Apple spending billions in capex on hyperscaler DCs, and apart from the weird product direction that is Image Playground most of their on-device AI is for genuinely helpful uses like smart removal from images and grammar improvements.
The runner's high I've experienced comes after completing a long, hard race and finally getting to rest after pushing myself beyond what training was like.
Fair point! Some of them are certainly more legible than others. I thought the vending machine one was brilliant. But for instance the one with the slices of pizza... does get a little lost in its own sauce, yes :P
I just rarely see someone commit to the bit so deeply, and I think that's fun.
>> In my dream world, the robots do all the boring jobs and humans spend all their time being creative, connecting with one another, learning about the universe, and sharing our ideas and creations in a great big prosperous circle.
In the world we actually live in, we're on track for the robots to take all the creative jobs, leaving boring and dirty jobs for the humans.