Maybe today's US frontier models provide enough information content, so that the momentum suffices to use them as a base for every coming generation of distilled and later fine-tuned models?
Exactly. For solving problems every help is a blessing. It's just clashing with our legacy society system. This system forces us to have jobs. But the real problems humanity is facing, like planetary boundaries or a decent base standard of living for all humans, are completely unimpressed by that human made model.
> Metamathematics, by Kleene, is programming in maths.
Ookay.
Back in the day i was confused by 'Linear programming', which is optimisation and has nothing to do with coding.
> every feature is ultimately filled in and the underlying beauty is obscured by a fractal of complexity required by the ever growing requirements.
Right. I would say Mathematics tries to unobscure (patterns in) nature. Engineering is creating tools, sometimes leveraging natural patterns.
But yeah, Fourier or Laplace definitely created tools, too.
Why are mathematicians a kind of programmers? Besides applied maths, aren't they more researchers that explore and discover, in contrast to the majority of programmers who are more like handymen?
I don't know why you're downvoted. This is field is so rapidly changing and confusing and on top of that burried underneath a shitload of new marketing terms.
Right i wondered the same. I guess Cloudflare would have to act as a Merchant of Record, like e.g. Paddle and Gumroad do. Then the end user/bot would do business with Cloudflare, and Cloudflare with us.
It's not one single danger, its a can full of dangers in various domains. And in contrast to other dangerous technologies, we are talking about one that has the potential to self improve. This smells like exponential growth doesn't it? Exponential growth is something we are not very likely to adapt to successfully, even if you say we are supposed to.
But before you complain, here are just a few concrete dangers, that come into my mind right now:
- mass layoffs in a system that is far from being prepared for sth like that. (no UBI)
- a Mr. Robot tier blackhat at the fingertips of every teenager in their mom's basement in a software landscape that is far from being prepared for sth like that. Side note: Big parts of the world including critical infrastructure runs on software.
- because it automates more and more intellectual work, it can cause mass brain atrophy, which isn't a hopeful sign for the human branch of the evolution
- increasing dependence on a technology, that is in the hands of those with capital.
And to the OP: this technology has potential implications that are far beyond 'being behind' other nation states economically.
Nice, but "and save it to your email so you never lose it." will deter a lot of serious people. It has a "dark pattern to push onboarding" vibe to it, that reminds of how a not so intelligent marketing person would do it.
Yes i guess color and packaging make a huge part of the effect. But they do use artificial flavors and i imagine that i could blindly differentiate apple and strawberry candies, but i could not blindly associate them with their natural pendants.
I've noticed as a kid, that strawberry flavoured candy doesn't actually taste like strawberries. They are clearly and collectively recognisable as strawberry candies, but that's just pattern matching and conditioning on wording. The flavour has not much to do with actual strawberries, even the sweetness is vastly exaggerated. The synthetic aroma is much less complex, as the author noted. We just fell into the habit (or trap) of using the same word for both flavours.
On the other hand i'm wondering if that's just an implementation detail.
A temporary imperfection in simulating the real thing due to constraints in (chemical) engineering and cost, not a hard limit.
Neural Networks are universal function approximators. Throw enough resources at them and they will mimic the most complex function to an arbitrary level of detail.
I'm using VSCode with Github Copilot (Business) in Agent, and Ask mode with varying LLMs, depending on the complexity of the task.
For a specific task, i create a markdown file with the requirements in tandem with the Agent, manually edit it where convenient. And then i let the Agent implement one feature or work unit after another, while micro managing it and making sure that i understand what it has written (not for really trivial stuff, where i don't care). This gives me a huge productivity boost, while the level of being in the loop is still bearable for me.
TBH, i'm wondering why i'm the only one saying he's using VSCode with GH Copilot. Isn't this the most frictionless tooling for an 'agentic engineer'? I get state-of-the-art LLMs while it's fully integrated into my IDE.
I still don't fully get what Claude Code or GH Copilot CLI would bring beyond that, since the Copilot plugin does also have CLI access.
Maybe you could somehow integrate it with Calibre [0].
https://calibre-ebook.com/download