willy_k

“Know” isn’t a perfectly useful word here. The mind still experiences sans material stimulus, for example dreaming. And it experiences in a progressively less goal/immediate-task-relevant-stimulus manner as stimuli go down (default mode network activity, seen in dreaming, sensory deprivation etc) - i.e. the mind experiences, and processes (dreams about taxes, and so on) independent of the world.

What support? Asahi had to fight to exist, especially early on when they essentially had to reimplement much of the graphics pipeline. And now its in mainline linux - short of a complete hostile lockdown of the bootloader, it’s not like they support other OS’s very much as is.

It’s not so good to hear your pessimism, but I suggest retiring spreading it online. It’s really beginning to grate.

Who said anything about agentic, or reasoning? Those are post-hoc additions to autoregressive usage of LLMs. The base case of predicting next tokens generally (rather than with a specific objective) requires a faithful representation of the input embeddings, which is plausibly repurposed for classification.

Essentially because attention introduced a way to scale un/self-supervised learning to the level of data out there, and learnable inference time 0-shot feature selection. Impressively in a autoregressive, unidirectional manner.

I’d argue most of the job loss anxieties come from these companies’ stated goals being to take all the jobs…

To add some context, uplift in the context of futurism literally refers to a species fast-tracking another’s progress.

Those do all seem directly tied to what Unreal Engine does i.e. graphics

Stories and music, their character, comes from combined motifs and themes. These are what gives them meaning. Creation is tied to meaning; one can’t separate human meaning out of the conversation. Without human meaning - new perspectives gained, beauty found - all things are equivalently pointless, and all an LLM is doing is shifting (very high-order, having gone through the steps to end up in training data) entropy around.

A good router on the user-facing end would be nice, but I’d rather be able to get a feel for which car I’m driving and pick one depending on the task, than have to hope the rental agency knows what I need.

Synthesize != create. A new combination of existing things is different from a new thing

Language reflects thought. LLMs are a search function over text, text that reflects previous thought; they cannot create.

Language is absolutely pattern matching, and the whole thing is that the more patterns you put in, the more the transformer can pull out what’s useful. Agents are this effective because people figured out that training on tasks being completed gets the models to complete tasks - that’s pattern matching.

And it can only go so far, where those patterns are feasibly captured, eg internet discussions and coding and mathematics. It won’t measure up to the scaling laws of the physical world.

Fair point. In that case, it’s imperative you share this* with your local representative: https://chatgpt.com/share/6ab29440-6944-83ea-853f-8060dc58da...

*This un actionable summary of existing discourse. The real world doesn’t produce traces or take HTTP requests.

The reason these are unsolved is because no-one was working on them.

This dichotomy is counter-productive. The valuations floating around are insane, and the claim that some software can replace every single laborer is one step removed from fiction. At the same time, this stuff is clearly going to change how to world works in countless, deep ways. But the idea that some fancy autocomplete can replace humans ignores the reality of humanity and the fancy autocomplete.

It’s another dot com bubble, not a crypto bubble. Trillion dollar valuations burst once you leave lesswrong.

Edit: very fancy autocomplete. I know what these things are capable of. It’s still not “intelligence”, for X definition of intelligence. And it certainly benefits from having obscene amounts of compete thrown at it. It is awesomely impressive synthesis of data, yet it’s clearly still that.

“We” do, we could, if organized. Per your first point, that is the problem today - agreeing on a shared goal rather than infighting about all the peripheral issues.

This ignores the reality that many people are, unfortunately, taking that one iPhone picture, sending it to everyone in their contacts list as if it’s art, and then moving on to the next slop shoot.

Phones don’t “rule the world” of cinematography, despite the majority of videos being from phones. The serious stuff, professional and personal, uses cameras.

> Do the work, either you’ll get a discovery or someone will build on your work and make a discovery in the future.

Tell that to modern academia. This may be true but the barriers to realizing it are great today.

This can’t be serious. LLMs are programs that run on computers.

Atp post-training is much more influential towards model behavior than pre-training data.

I do. God. I am partial to and bullish on the brain being a quantum-classical computer. There has been interesting research exploring that recently [0, 1, 2, 3]. That (quantum mechanics) seems to be escape-hatch, so to speak, from the otherwise deterministic, mechanical procession of the universe.

[0]** https://www.researchgate.net/publication/15280350_Quantum_op...

[1] https://pubs.acs.org/jpcbfk/article-pdf/128/17/4035/9613831/...

[2] https://www.researchgate.net/publication/395650039_Parametri...

[3] https://www.researchgate.net/publication/385131105_Conscious...

Social media has fried some people’s brains so much that it is incredibly anxiety inducing to make many typically mundane or routine choices, for fear of missing / missing out on something.

You’re not just the same thing though. It’s sad that we’ve collectively forgotten that as we’ve gotten a better handle on the implementation details of the universe. That’s all science is, reverse engineering an inherent and eternal mystery.

Sure, if you take a materialist empiricist perspective, which is myopic at best. As humans we have the unique and wonderful ability to know truths by themselves. Machines do not have minds, and they can not.

Doing that on modern iOS is unlikely. They’ve really locked it down in the past half decade.

Thats a browser level task.

That doesn’t mean anything. “Sometimes satellites hit things or have problems and blow up. Maybe it hit something and had a problem”.

Edit: Its a perfectly valid response to the question that was asked.