I'm saying that Machine Learning was borne of AI from the very beginning. ML has become specialized enough that we may later (much much later) declare it somehow larger/separate/overlapping, but it originated from AI as the generic umbrella.
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Counter example, the book that is the foundation of much coursework and learning for people in AI, has a whole section on "Machine Learning" with all that k-means and such in there - https://aima.cs.berkeley.edu/
I'm long on semi-colons
Yes -- there are also links if you click into the lower-right help button to the excalidraw documentation, blog, etc.
Should probably indicate somewhere purposeful that it is built on Excalidraw
Yes, many companies going out of business altogether, some of them large, is what a bubble pop would look like. As opposed to a uh.... Correction.
Was there pressure to do this, or freedom to do this? If I had an unlimited token budget I'd probably try all sorts of crazy things. Also you (one) can read the tests and see that they weren't modified to forcibly pass.
Maybe he didn't think it would work. Maybe even if it does "work" they'll keep the zig version anyway. Maybe further study is needed beyond existing compiling/test-suite. Intentions and perspectives change over time, even only a few days, without dishonesty.
I'm guessing that if I said it ... that we have no intention of re-writing in rust ... that what I mean is "we have no intention of spending the extreme cost it would take to rewrite". When I discover the cost model is completely different that changes things.
Those 11 damn lucky interns!
Not AI generated software -- DYNAMICALLY generated software, like at run time and ongoing. Even in-app directed by the user. This is not a thing that existed before, a degree of customizability well beyond letting the user pick a color scheme or from one of a few layouts or default start screens.
I don't know how good of an idea it would be, product-wise, to give programming level flexibility. I am reminded of greasemonkey scripts, but written in english maybe. Maybe it could be awesome. But Apple is saying "nope. Not interested in exploring this with you. BYE"
power users opt in to opt in telemetry, and power users opt out of opt out telemetry. Power users click all the buttons.
It's also difficult to recognize that when it got it right THAT might have been the lucky week.
Yes -- this is getting very close to ClaudeClaw. Next they'll offer cloud hosting of persistent execution.
Maybe another idea, no idea if this is a thing, you could pick your block-of-layers size (say... 6) and then during training swap those around every now and then at random. Maybe that would force the common api between blocks, specializaton of the blocks, and then post training analyze what each block is doing (maybe by deleting it while running benchmarks).
This was not my experience. For example, it want until chromium 110 that you could use webrtc+pipewire without overriding settings, in 2023. So maybe in a strict sense you could do it with fiddling, I don't think you could install any Linux flavor and screen share over meet reliably.
https://groups.google.com/g/discuss-webrtc/c/fe567r-UUrA/m/8...
.... did you give them money? Brave!
Yes -- I know at least 3 Orion Blasters.
Where is this 1000 lines of C coming from? This is python.
Generative TikTok for words
Yep! Maximally closed as much as possible under the law. They also shut down other programs which aim to sidestep propaganda (including US propaganda), though some of those are starting to come back. Radio Free Asia, for example, https://www.reuters.com/world/asia-pacific/radio-free-asia-s...
I've been building a skill to help run manual tests on an app. So I go through and interactively steer toward a useful validation of a particular PR, navigating specifics of the app and what I care about and what I don't. Then in the end I have it build a skill that would have skipped backtracking and retries and the steering I did.
Then I do it again from scratch; this time it takes less steering. I have it update the skill further.
I've been doing this on a few different tests and building a skill which is taking less and steering to do app-specific and team-specific manual testing faster and faster. The first times through it took longer than manually testing the feature. While I've only started doing this recently, it is now taking less time than I would take, and posting screenshots of the results and testing steps in the PR for dev review. Ongoing exploration!
That was built recently and then discarded by this administration to protect intuit TurboTax and similar services.
That is very likely the main part they didn't choose so much as utilize an existing system, flowing the existing infrastructure.
It makes sense that this administration would focus investment on making it maximally easy to leave government above all other potential automations.
It was downplayed at every other opportunity including the conclusion, emphasizing instead the lone team of two heros. A few shout outs here and there, but the theme was clear.
Fine... I guess it could be happy ChatGPT day then? Putting a hosted version of it out on the internet and letting people use it is very clearly a very small step, it even surprised OpenAI that it caught so many people's attention. But it did. It is an interesting milestone that shows what happens when you connect people with a new technology, a new concept, and see what they do with it.
I was very confused until I realized the author was Steve Blank not Steve Klabnik.
This ploy is already working for me ... I had tried it before and now I'm trying it harder.
Almost, but not entirely, unlike birds
I asked Atlas about this, and it indirectly pointed out that atlas://credits is a thing. Not linked to anywhere that I could find though.