u/wryso

We don’t have the same kind of protected origin raw milk tradition, we’re not allowed to make young raw milk cheeses, and the American artisan dairy scene is small compared to Europe.

But i have to admit I’m surprised people aren’t familiar with bleu, it’s a component of a very popular condiment for chicken wings / salad, “bleu cheese dressing”

Ok

It’s 20% when counting the company matching to its employee pledges and the founders’ 80% pledge

Good luck compelling an American company on that one even with the full force of the EU behind you. If you tried, Czechia would lose, and even if it didn’t, the end result is that you’d basically be on mistral and whatever models China decides to continue to give you. Actually if copyleft wins out mistral would be pretty fucked too, since they would not be able to build and sell their proprietary commercial stuff.

I think your question is a reasonable one, but I see it as a moral question not a practical legal question. The practical legal question gets the answer above. The moral question is more nuanced.

I think we should nationalize banks and major industries, including AI, and use the proceeds to eliminate poverty. I’d be supportive of making LLMs broadly available in that regime to the extent that we could ensure safety.

In our current regime, no. Copyright / copyleft is a poor fit for statistical learning. Courts have ruled in favor of training being fair use. Training runs are expensive at the frontier and wouldn’t happen without a way to monetize.

Seems like you’re the one who’s fucking stupid

This slop is factually inaccurate. Block this OP

Wasn’t talking to you—you’re clearly an idiot

Yeah, I’d vouch for that for about six months. Then closed loop sw dev hits takeoff

This is why I caveated the finite demand comment. It’s practically finite but theoretically unbounded. The rate limits are things not yet ripe for 100% automation, like:

Deciding what software you / the firm should want
Having people (execs? Users? Lawyers?) who need to understand it, understand it
Getting it operating and used
Over time, deciding how it should change, and changing it

Lots of these things are meetings, phone calls, people reading and clicking buttons and typing. Human speed. All rate limiting software demand.

Humans and all the infra that can’t stand up to swarm volume

The tech shifts every couple months but the career meta feels a bit slower? I could see new tactics emerging but “get good at agentic” has been a dominant strategy for half a year and is still good today.

I guess if you want to get fine grained about strategies, “remove the human from the loop” and “get good at swarms” are definitely newer arcs

Yeah no. Teams of 3 can get done what teams of 50 could do before, and faster. There is limited demand for software, and even if there theoretically isn’t, firms have limited capacity to realize value from new software, since at some point human shaped things (users, policy, other functions) get involved.

Writing code was an enormous part of the job. If someone is using AI to produce code and that is not delivering a working product and ensuring it meets specifications, that is a skill issue. And if you can’t use AI tools to bring the human costs of managing build / test / stage / deploy / monitor or whatever, that is also a skill issue.

You have the vision to see that this is happening, so you have that going for you. Even in faang people are various degrees of clueless about this.

Your work won’t go away immediately, but the ladder is getting pulled up fast. You just have to run faster than the slowest group as the bear chasing us eats them. Right now, that group is in denial that there is a bear, and they’re not adapting well, so this is fairly straightforward. You can see some of them in this thread.

For the moment this means being good at using / developing agentic workflows will keep you relatively safer. The meta will shift every 6 months or so.

Slop

I think the message is incredibly obvious and shallow, but I’m open to being enlightened.

Being rightfully skeptical of AI and sama is one thing, but stupid shit like this video doesn’t help the cause. This is /r/im14andthisisdeep shit

Why are you crying about it just get good

Well if you’re gonna get all argumentative about the best way to navigate a fake situation I’d say “rotate the angle of the cut 90 degrees” can be misinterpreted in all of the ways you saw in the video.

Sometimes you need words. Cutting a sandwich is a humorous analogy for some of the failure modes of instruction following. Pretty sure an LLM could actually identify the correct way to cut it from context. OTOH if we were like, machining a part, precise language helps both humans and AI

No, this sub is experiencing retardation.

No, longitudinal doesn’t just refer to east-west, it also means “along the long axis”. Latitudinal in this case is both precise and accurate.

Slop

it’s arguable that the universe is in late middle age, even though heat death is a long way away. 95% of the main sequence stars that will ever form in the universe have already been formed. When the sun burns out, there will be almost no new main sequence stars. Fewer stars mean fewer chances for life. Red dwarfs likely sterilize all their planets, and they’re the only stars that will survive past the universe’s middle age.

Yep it’s privilege to not want to vote for someone who won’t help anyone. you people seriously think you can scold people into supporting your shitty candidates

Lerchner's whole thing is that you need a conscious "mapmaker" to carve continuous physics into discrete meaningful categories, so computation can't produce consciousness. But who's the mapmaker for your color vision? Your cone cells partition the electromagnetic spectrum based on genetics that were locked in before you ever saw anything. Evolution, a completely blind process with zero experience, built that map for you. And it only gets worse from there because most of what you actually think about, Hilbert spaces, the Peloponnesian War, justice, supervenience, you learned through language and books and symbols from other people, with basically no phenomenal grounding at all…

You're doing exactly what Lerchner says can't work: integrating symbols you got from other symbol users. So when a neural net builds internal structure through gradient descent over billions of examples that's somehow categorically fake, but when you half-remember something you read on Wikipedia that's the real mapmaker magic doing its thing