I grouped mine a few months ago. Since then, several times, I've been able to find a cable and use it right away. Before that the prospect of digging through the massive tangle often led me to (lazy!) order new cables.
Yes? The author is very clear in the blog post about having used AI very heavily:
Up until now you have been reading the words of Anthropic’s Claude, in particular Fable 5. In part, this is because I simply could not have written this piece. ... Although it might seem strange I thought it wrong to impose too much upon the machine, changing its voice to emulate mine. Richard Sutton’s bitter lesson would likely advise as much. Instead it has its unique voice, grating to some perhaps but altogether fitting that it should be able to keep it, and I only gave it advice on what considerations during writing would bridge the gap between its understanding and that of a reader.
I don't know if putting a disclaimer at the very end of the blog, that you also disclaim, should be considered "very clear".
"Here is, for those that have read this far, the acknowledgements that used to be in the formal paper but we decided to remove it, mostly because the paper has been reworked and rewritten so many times by us."
I wouldn't expect MIDI to be a good fit, and when I experimented with it a few years ago I wasn't able to get anything I liked. Pitch and volume are continuous, and while this can be encoded in MIDI it's awkward. If you send too many updates you can overwhelm the synth, and if you slide a single note too far it will re-trigger the note. Also when the sound starts you know "there's whistling" before you have a great estimate of the pitch, but MIDI wants to know the initial tone (and many voices have tuned onsets).
In case you haven't seen it, Imitone's patent is US20170098112A1 (https://patents.google.com/patent/US20170098112A1/en). This one's from 2017 and is still active, and it's for a periodicity analysis system. Hopefully it's not directly relevant to your synth.
That patent is about a particular way of implementing a low-latency pitch tracking algorithm. My tool uses a different pitch tracking algorithm based on zero crossings. It's much simpler and far from novel.
A big difference is that Imitone works well with singing, whereas my algorithm only does a good job with whistling. On the other hand, my algorithm is lower latency when given a whistle as input.
But fuel usage it not proportional to mileage and weight across vehicle classes, and damage is proportional to axle weight to the fourth power.
A diesel sedan might use 1.25 gal for 100 ton-miles, while a tractor trailer might use a third of that (though, to be fair, I thought this would be a bigger delta before I looked).
But then if you look at "Equivalent Single Axle Loads", a tractor trailer is ~2 ESAL while a diesel sedan is ~0.0003 ESAL. So we're talking maybe 0.13 ESAL/gal for the former vs 0.0001 ESAL/gal for the latter.
>It was my understanding—and I'm no expert, so if someone does know better please correct me!—that indeed by the second half of 2025 training, and also post-training reinforcement-learning stuff, both hit seriously diminishing returns, and the thing that is continuing to scale well or pretty well is inference.
I'm not an expert either, but while I do think for a bit it looked like ~all the improvement was inference-time scaling, it hasn't stayed that way. Mythos/Fable is likely a very large model (ex: it knows many things without searching) and this is probably part of its high level of capability, and the companies have started doing very large amounts of RL (which in OpenAI's case led to the HF attack).
Clearly LLM written, and describing a design intended for a minimum of 6 servers that was running on 4. They don't say either way, but it seems possible to me that they might happen to write 3 chunks to a single machine and lose data on a one-machine failure
The issue is that Anthropic is just one company and China doesn't care in the slightest - so it's an entirely moot point and almost narcissistic (on Anthropic's part) to believe that they can have any impact whatsoever on this situation.
This is why I don't expect Anthropic to stop, and so I don't expect the value of the company to go to zero.
But the question is conditional on them deciding to, which (to the extent you trust Anthropic leadership which they're probably also filtering for in interviews) is conditional on believing that a decision that sent their stock to 0 would have a real impact.
The irony is of course that China is going so fast because of Anthropic, by diluting their models and learning from them. would make for a fantastic Greek tragedy if we weren’t talking about something that impacts the entire world economy and societies
Have you ever actually seen the inside of most Chinese manufacturing operations? The lack of PPE is astonishing. The lack of safety interlocks, protective features, etc. on their equipment is equally incredible. Safety simply isn't a cultural goal.
Spend 5 minutes with DeepSeek, spend 5 minutes with Fable, see how many rejections you get with DeepSeek for the exact same prompts. Sure, if you engineer some nuclear/biological/WMD prompt, they might block it, but they won't reason to do so.
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