> The easiest approach in that case is to take out the subscription, then immediately cancel it. It'll still last the full month, more here: https://support.haveibeenpwned.com/hc/en-au/articles/7707041...

Comments URL: https://news.ycombinator.com/item?id=45692653

Points: 1

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Of course, that does not contradict a finding that the base models believe the case to be real (I can’t currently evaluate that).

That’s the part which gives me optimism, and even more enjoyment of the craft — that quality pays back so immediately, makes it that much easier to justify the extra effort, and having these tools at our disposal reduces the ‘activation energy’ for necessary re-work that may before have just seemed too monumental.

If a codebase is in a good shape for people to produce high-quality work, then so too can the machines. Clear, up-to-date, close-to-the-code, low redundancy documentation; self-documenting code and tests, that prioritizes expression of intent over cleverness; consistent patterns of abstraction that don’t necessitate jarring context switches from one area to the next; etc.

All this stuff is so much easier to lay down with an agent loaded up on the relevant context too.

Edit: oh, I see you said as much in the article :)

https://claude.ai/public/artifacts/f3860a8a-2c7d-404f-978b-e...

Requesting an ‘extravagantly detailed’ version is quite impressive in the effort, if not quite the execution:

https://claude.ai/public/artifacts/f969805a-2635-4e30-8278-4...

Comments URL: https://news.ycombinator.com/item?id=45196163

Points: 47

# Comments: 56

Comments URL: https://news.ycombinator.com/item?id=45107846

Points: 2

# Comments: 0

Our rod and cone cells could just as well be wired up in any other configuration you care to imagine. And yet, an organisation or mapping that preserves spatial relationships has been strongly preferred over billions of years of evolution, allowing us most easily to make sense of the world. Put another way, spatial feature detectors have emerged as an incredible versatile substrate for ‘live-action’ generation of world models.

What do we do when we visualise, then? We take abstract relationships (in data, in a conceptual framework, whatever) and map them in a structure-preserving way to an embodiment (ink on paper, pixels on screen) that can wind its way through our perceptual machinery that evolved to detect spatial relationships. That is, we leverage our highly developed capability for pattern matching in the visual domain to detect patterns that are not necessarily visual at all, but which nevertheless have some inherent structure that is readily revealed that way.

What does any of this entail for machine intelligence?

On the one hand, if a problem has an inherent spatial logic to it, then it ought to have good learning gradients in the direction of a spatial organisation of the raw input. So, if specifically training for such a problem, the serialisation probably doesn’t much matter.

On the other hand: expecting a language model to generalise to inherently spatial reasoning? I’m totally with you. Why should we expect good performance?

No clue how the unification might be achieved, but I’d wager that language + action-prediction models will be far more capable than models grounded in language alone. After all, what does ‘cat’ mean to a language model that’s never seen one pounce and purr and so on? (Pictures don’t really count.)

https://www.sscardapane.it/assets/alice/Alice_book_volume_1....

“So it isn’t the original building?” I had asked my Japanese guide.

“But yes, of course it is,” he insisted, rather surprised at my question.

“But it’s burnt down?”

“Yes.”

“Twice.”

“Many times.”

“And rebuilt.”

“Of course. It is an important and historic building.”

“With completely new materials.”

“But of course. It was burnt down.”

“So how can it be the same building?”

“It is always the same building.”

I had to admit to myself that this was in fact a perfectly rational point of view, it merely started from an unexpected premise. The idea of the building, the intention of it, its design, are all immutable and are the essence of the building. The intention of the original builders is what survives. The wood of which the design is constructed decays and is replaced when necessary. To be overly concerned with the original materials, which are merely sentimental souvenirs of the past, is to fail to see the living building itself.

— Douglas Adams, Last Chance to See

A test for generality of intelligence, then: being able to apply abstract reasoning processes from a domain rich in signal to a novel domain.

Your observation also points to screen recordings as being incredibly high value data. Good luck persuading anyone already concerned for their job security to go along with that.