krackers

You can't just make a post like this and not say what the condition was or what you did!!

This sounds similar to barycentric coordinates?

How does the wiki page not mention their living infamy as a meme

https://knowyourmeme.com/memes/people/bogdanoff-twins

Not just on Raspberry Pi, wolfram scripting engine is free and works on windows or mac too. You lose the notebook interface, but if you're just using it as a calculator, it does the job.

>It keeps guessing function names that sound plausible but don't exist.

That's surprising considering how good their documentation is. A tool using LLM should have no problem with that. WolframLanguage is almost ideal for an LLM actually.

The part no one gets is that mv3 by design cannot do privacy protection by stripping tracking tags. Any sort of programatic URL manipulation or introspection is impossible by design. Advertisers can switch to a scheme of base64 query params inside URLs, and there's nothing MV3 based adblockers can do to filter this

+1, I think (but may be wrong) this is because the firefox UI is non-native. This is especially visible on mac, it just reimplements everything on its own.

You start by becoming a Claude Boy [1], then eventually enlist into the Claude Corps

[1] https://blog.cosmos-institute.org/p/the-claude-boys

I don't either, maybe my mathematical maturity is not high enough to be able to work at the level of abstraction that can see a connection between ravens and "vector of hours".

I also played around with the canvas and couldn't draw anything, I tried taking the dot product of a "raven" and a "crow", piping it to a "sun", and didn't see anything. I would have expected something since a raven and crow are similarish so should have a non-zero dot product. But for that matter a dot product of a raven and a raven piped to a sun doesn't show anything either so I'm just completely lost.

> (the paradox that if you sample waiting time in a process, you’re more likely to sample a larger value).

The deepseek v4 paper talks about one variant of this (related to failures) and how they mitigate it.

>During preemption, we pause the inference engine and save the KV cache of unfinished requests. Upon resumption, we use the persisted WALs and saved KV cache to continue decoding. Even when a fatal hardware error occurs, we can re-run the prefill phase using the persisted tokens in WAL to reconstruct the KV cache.

>Importantly, it is mathematically incorrect to regenerate unfinished requests from scratch, as this introduces length bias. Because shorter responses are more likely to survive interruption, regenerating from scratch makes the model more prone to producing shorter sequences whenever an interruption occurs. If the inference stack is batch-invariant and deterministic, this correctness issue could also be addressed by regenerating with a consistent seed for the pseudorandom number generator used in the sampler. However, this approach still incurs the extra cost of re-running the decoding phase, making it far less efficient than our token-granular WAL method.

You didn't even need to read between the lines, that was basically what the CEO stated point blank in interviews and in his writing.

(I noted the same thing a few weeks back, https://news.ycombinator.com/item?id=48341224 but his recent blogposts should make it crystal clear if there was any lingering doubt).

Also just having the ease of access to an LLM means you're more likely to reach for it. Combined with intermittent rewards, it's mentally exhausting.

Maybe it learned how to speak from Data on TNG?

>which describes images in natural language,

See CLIP https://github.com/openai/CLIP

Why wouldn't they be lenient with the geofencing, presumably they _want_ people to use this unlike EU alternate app store, so there's no need to use the uber-strict geofenced and they could instead just gate it based on something like account creation location.

You can do this on macOS too, if you're willing to break all forward/backward compatibility and make direct syscalls you can have a purely static binary. Without the LC_LOAD_DYLINKER command on the mach-o binary the kernel should just jump to the entrypoint based on LC_UNIXTHREAD. (This may not longer work on arm machines though if they actually trap on direct syscalls not through libSystem, similar to the BSDs)

The same art world (or more specifically the "Consumer Aesthetics Research Institute") also named "Frutiger Aero" the defining aesthetic of 2000s, even though it was really only seen in a few places (Aqua aesthetic is very different from Aero). All of this should probably be taken with grains of salt.

They never specified what exactly the product was, without which it's impossible to judge the post.

For some reason most of the uses of "agents" are to build yet other AI products, it's turtles all the way down. Maybe that says more about the field of harnesses than it does about the power of "agents".

>as China's "lying flat" movement

No, you miss that "lying flat" is only possible when cost of food/living is low and housing is abundant.

Great way to filter out garbage benchmarks (many have Meta Muse at the top)

See Tegmark's "why does deep cheap learning work so well" (well not so cheap anymore...)

https://www.youtube.com/watch?v=5MdSE-N0bxs is remarkably prescient given that it was written before LLMs

Canada? https://www.canada.ca/en/health-canada/services/health-servi...

>It's not clear to me how or why the line keeps going up

Because people believe it will go up, it's a prediction market for attention. The stock market seems to have decoupled from underlying "real value" of a company and is closer to cryptocoins now. Of course the flipside is that you also have the same volatility of cryptocoins.

>that is already used in our industry-changing Roku remote controls.

Why does a remote control require a RTOS?

attention truly is all you need

I wish it would show what a "correct" solution would look like?

You could call it hyperspace in an homage to that old 10.6-era application which customized spaces. (Also I just realized why Apple called it called mission control, it allows you to organize spaces).

Also this is basically a replacement for the zombie TotalSpaces 3

Traditionally those roles of providing "alignment" to overcome organizational inertia were held by program managers. So that seems like IC roles are indeed going away, to be replaced by more "technical program manager" type roles.

This particular case seems to be an LLM trying to blindly apply the saccharine therapeutic pattern "your frustration is real" to a context where it doesn't make sense. No one is debating or questioning the fact that the card has 16 gigs of vram.

The point of "X is real" in a therapeutic context is to make the person feel seen and acknowledged, that his struggles are real to him and really do weigh on his mind, even if it is technically "all in his head".

Usually that cloying pattern is reserved for "emotional" contexts to validate the user ("your struggles are real [despite others thinking it's in your head]").

Here it doesn't even make sense, of course the VRAM is real. Is it going to tell me that my keyboard is real next?

I wonder if this was generated with the local model, this seems to be a case where it memorized the style but not the meaning and intent.