fwip

No, it's a joke on the headline. "Names son."

This sort of thing is why STEM students need more humanities classes. The idea that poetry is semantically denser than prose is, like, obvious, to anybody who cares about poetry.

It could be sending more data per second if it's the result of a network upgrade at their datacenter. :)

"The original is 9x larger"

This is another pet peeve that I have with the way we phrase these things: It should be 9x "as large" and 8x "larger."

The way I'd usually phrase this, to avoid ambiguity, is "this new model is 11% the size (of the original)." Or, the other way, "the old model is 9x the size".

Agreed. It's quite bad. Like, even for fanfic, it's not good. And a lot of fanfic is written by fourteen year olds.

> You cannot solve problems in AI safety this easily.

We're in agreement here. I don't believe that an LLM can be made to be safe by adjusting the training or prompting - you can only make it safe by ensuring it cannot do unsafe things. For example, if you build a factory robot, your safeguards must ensure that operators are safe even in the presence of uncommanded motion (any or multiple motor activates without anyone pressing a button). And these machines are much more predictable than LLMs.

Personally, I worry that the Anthropic approach of "we teach the AI to behave like a nice :) friendly :) human :)" will encourage people to rely on these in-built guardrails, rather than properly sandboxing it. It's easy to imagine that the cold, unfeeling robot (HAL 9000) is not "aligned" with your personal goals, or those of humanity as a whole. It's more difficult to feel that about "Claude, your AI colleague/mentor/therapist" who appears to care about you.

It will be a lot cheaper for the AI companies to pay lobbyists for a few years, so that they no longer have to take accountability.

Perhaps off-topic, but there's some people who believe that this can be what happens during surgery under anesthesia, if the dosage is off.

From what I understand, there's 3 parts to modern anesthesia: Blocking pain signals, preventing the formation of memories, and inducing paralysis of the major muscle groups. If the former is dialed in too weakly, it's possible that the patient is feeling pain, unable to do anything about it, but won't remember it at all when they wake up.

(Looking it up now, it seems that making the patient unconscious is perhaps the same drug that prevents memory formation... I realize now I understand this less well than I thought I did.)

Oh - I see that now. It's possible I missed it originally - I did read the article but I was skimming quickly. Mea culpa, if so.

Edit: Comment deleted - no longer useful.

Sounds like a good reason not to train an algorithm to behave like one. Which is, like, a big part of the article.

The parsing code isn't even correct, though. I'm sure it works for the current input source code, but it's a clear sign of an LLM developing by iteration, rather than actually understanding the problem and coming up with a correct solution.

How often does "this table of constants was transcribed incorrectly" even come up as a bug class? Is it worth writing a buggy C parser for a failure mode that doesn't happen? Do you expect that Linux is going to change their constant definitions out from under you?

It's fully LLM-written. You can trust it if you want, but there's stuff in there that's clearly wrong or nonsensical.

Nearly any C programmer could write this.

I see - I think I overfixated on your specific point, and thought you meant that the current predictability of LLMs was on-par with the current predictability of airlines. The range of LLMs with current harnesses is "anything somebody with access to a computer can do," probably precisely because we aren't enforcing rules against the humans building these systems. Whereas in comparison, an airline has a range of reasonable outcomes despite unpredictable weather input.

> Is AI less deterministic than an airline dealing with weather?

Yes, obviously? The responses of an airline to inclemement weather fit in a reasonably small set of responses, mostly involving rescheduling and/or rerouting flights.

The current AI predictability would be like if some airlines decided to do 9/11 when it was raining.

I'm sure all of them have a few skeptics. I'm not sure if any of the successful launches here were this negative.

Reviews say around 2-4 hours when streaming from PC, 1 hour is if you're gaming directly on the device with the graphics turned all the way up.

The pattern that RSS feeds best supports is subscribing to individual creators who produce things you value. Presumably, if you don't like AI word-vomit, you wouldn't subscribe to a blog that uses it heavily. This is in contrast to the social-media state of affairs (like HN, reddit, twitter, etc), wherein much of the posts you read are recommended to you by either a person or an algorithm, regardless of whether you believe that author will write something you like.

A shorter way of writing this is that RSS promotes writing stuff good enough to get into somebody's "favorite authors" list, and social media instead incentivizes "lots of people will share this."

True, but with Xcancel, you don't have to sign into X, and you're also denying X some user data and engagement metrics.

From what I recall, the only people actually eating Tide pods were elderly folks with dementia. The kids were joking about it a lot, though.

> If there is energy to be used, the system will use it because people always use power when it exists.

That doesn't seem correct to me. There is always energy available that is not used because it is not cost-effective to do so. (Consider - the grass in your yard is not harvested and burnt for power). AI may yet turn out to be a paperclip maximiser, but humanity itself is not there yet.

Executing captured combatants was not atypical for the time period.

I doubt you'll find many historians calling the Massacre at Verden terrorism, for instance, despite executing 4500 prisoners.

They were very poor before central planning, and the central planning is what got them from being very poor to relatively poor and economically powerful.

Okay, you may want to reread the thread, I'm not OP. I'm not the "you" you think I am.

Also, some people have a lot of wifi connected devices, including stuff like light bulbs. (Again, not me.)

I did bring that up in the second sentence of my two-sentence comment.

This is also my question, but I suppose the answer could be that we don't trust LG to actually forget the wifi password (and not use it surreptitiously later). You could also change the wifi info, but that might mean changing a whole lot of devices (including wife's and kids).

Calling Muhammad a terrorist is really a special amount of Islamophobia.

You could totally be right - but for me, the problem of AI writing is that it's really hard to know how much work the original author put into it, or their level of understanding.

Just this morning I used OpenSCAD for the first time. I got Gemini (just the chatbot, no harness or MCP) to help me design a water-bowl holder for our senior dog (she kept knocking it over).

It was probably an easy model to get right, since the only "critical" dimension was the radius of the interior. But I was able to tweak the numbers on the support length & some other details relatively easily, and I had a working solution 2 hours of print time later.

(I had a CAD class in highschool, but haven't used it since).

I suspect this may be another case of "LLMs are mainly good at things you're bad at."