angrais

The repetition in the last sentence and use of "Overall". The structure of the first paragraph too.

I appreciate this may not have been the case (sorry OP), which is why I asked the above question.

Was this comment generated by AI?

Would you explain why this makes you proud?

I assume as the kid is showing a good grasp on identifying his emotions.

Am I understanding this correctly: you let your 3-5 year old daughter stay up each night to 02:00?

When did the sun set where you lived during that time? I suppose that was a big influence on sleep times?

One approach you could take is to license the code (or simply the tricks) to big tech companies. They can use the tricks, but must pay you x amount. You can provide technical support for implementation and benchmarking.

That's how I would make profit from what you're doing as many big tech companies have already achieved (and more) of what you claim.

I know this as I work in such a company. However, I'd bet they'd pay a fair amount for new solutions that differ from their own.

I'm not OP, but the answer is obviously both. Multilingual helps brain develop in new ways, and better personal development helps all nations.

Why did lists require less memory? Was it because you only held a subset of keys in the lists?

I assume it's the mobile version of the website so probably has slightly different stylesheets.

GPU acceleration may produce worse quality and slightly larger files. So there's a trade-off to be had.

Exactly as some encoders (H264) have keyframes at intervals (e.g., every 30 frames) rather than where the action occurs.

As such, they are suboptimal by default if a lot of motion occurs.

Why not run it on your main OS? Otherwise, Docker is fine.

You're right - not ideal to manually transfer. Maybe iCloud will offer transcoding as a service next haha.

Many smartphones support recording H.265 encoded video directly and the resulting file size is tiny and quality is amazing. Not sure if it's the default setting (or possible) on iPhones though.

Why not transcode the data after use to significantly reduce filesize? If the videos are uploaded elsewhere (e.g., YT) they're most certainly transcoded on such services anyway

My point was that I have never heard anyone describe a server or serverless in that way: as simply a process. I agree that thinking about server as a process/Daemon is a great way to frame serverless.

I've also not considered that wireless headphones have wires so it's been fun to think about that too.

Why are you defining server in that way? Do you have a reference?

A server is a physical machine with an operating system. It can run many processes.

What do you recommend as ideal foods to improve the microbiota? Are there any non-obvious foods, such we kefir?

Why do you have this concern? Did you notice any changes in breathing or such?

Have you looked into correction vision, e.g., glasses or lens?

I wear a pair and have minimal problems when wearing them. When they're off I would likely experience similar to yourself.

Obviously there are edge cases when applying statistical tools at a population level. That's not the purpose of BMI though. If you're pregnant or weight training then OBVIOUSLY your BMI score is not comparable to others. Most people are neither pregnant nor weight training. I'd even bet that most people haven't performed a weighted squat.

> I also think it is becoming apparent that weight alone is not as useful of a metric as was once believed.

Being fat is bad for your health. That is a fact. No amount of body positivity advertisements will change that fact. It is healthier to be thinner than obese. Look at the graph above to see BMIs impact on other health outcomes.

Also, if you think the obesity crisis is fake/blown up then simply go outside in most American cities and you'll see that many people are obese.

There is a subset of people who are being misidentified as unhealthy or overweight. Idk how large it is but it seems significant.

Again, this is not relevant as the subset of people is so small compared with the whole population.

The "data given" is included in BMI. Your relative weight is an indicator of multiple other health outcomes.

So the $850 guy got $850×900? So $765k? How many months were the 900 hours split over? This sounds absolutely ridiculous

Have you looked into existing version control systems for data, such as DVC?

Not only cost, but why is accelerating quickly or reaching 200mph important? GP also mentioned 5 seats as important, and to me, those are counter needs.

Even on the autostrada I would say it's typical t go 130km/h (80 mph) so I'm not sure of the context where 200mph is required.

Write some fake table. Paste it into ChatGPT, then come back to the discussion.

So far you've said that things like "This is the kind of explanation that I need, which surely no AI can deliver." but have not actually tried the system?

As GP asked: have you tried ChatGPT or similar LLMs? If not, go do it .. you may be surprised.

For reference, this isn't always the case. It is possible for building companies to provide incentives to local authorities to bypass this (£££). Absolutely ridiculous but unfortunately true.

Given ASR is becoming really great (e.g., whisper) perhaps the intersection with the transcript and some "rephrase" ratio would be acceptable? So if the LLM deviated too much then that is problematic.

Why do the endpoints start with capital letters? It's the first time I've seen it and it's so unusual. Why?

Yes, of course.

Real world data being: one on one interviews (no background noise), small groups of people chatting (lots of background noise), and specific audio recordings ( with varying British regional accents.

In all three instances whisper produced a more accurate transcription.

This is for personal use. The license of MMS is also restrictive so cannot he used for commercial uses while whisper can. Another key consideration when wondering what to choose. On the other hand, one can train MMS (so using own custom dataset) so for some projects it may be more suitable.

Have you tested MMS with real-world data? It's perhaps outclassed on evaluation metrics but on real-world data it is not as good as whisper.

> I don't know much practically about how hard it would be to take the Whisper PyTorch (1 or 2?) trained models & to make good use of them elsewhere.

What do you mean by "elsewhere"?

The whisper models can be used without much effort. The tooling provided by OpenAI allows for them to be used and installed in python with ease. People use them in companies to transcribe internal media datasets. No need for CPP implementation for internal uses.

Main problem is when _on device_ is required and the OpenAI model is not quantised and so use on say a smartphone becomes trickier.

It contains captions. That's the alt text. LAION is used for train LLMs.