Recent comments in /f/technology

DevAway22314 t1_jddcq45 wrote

Honest question, why?

If I'm getting laid off, I'd rather an email. It allows me to collect my thoughts and respond in a way that is optimal for me. It also let's me avoid showing any emotion that could cause problems for me

To clarify: If I got laid off today, I'd be pretty happy about it. If my boss was having a difficult conversation laying me off and I'm obviously happy about it, it might sour any future working relationship. It's not my boss necessarily making the decision, and there are many former bosses who have moved to other companies that I'd be happy working with again

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DevAway22314 t1_jddb0j5 wrote

Mean and average are synonymous. He was precise and correct in his terminology. It is only you that does not understand the meaning of a mathematical average

Edit: And to drive it home a bit more, the advantage of using the term mean is that it is more specific. Mean is less likely to be misunderstood for another meaning than average, but both convey the precise meaning he intended

I wouldn't normally add that level of pedantry, but wanted to point out you misused precise when you meant specific. Solely because you're attempting to be overly pedantic

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DevAway22314 t1_jddars3 wrote

Average is a neat little math trick to use here. Median is a much more meaningful number to use

Imagine 5 people use TikTok with ages of: 10, 15, 15, 15, and 65

The average age for that group is 24. You can technically claim the average age of those users is an adult, out of college. The median, however, is only 15. 15 is a much more accurate descriptor of that group than 24. It's obvious why TikTok is choosing average here. It's very easy for a small segment of older users to drag the average way up

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phxees t1_jdd9oor wrote

I’m not worried, but I do expect everything to change. Many people think their job is too difficult to automate, but I don’t believe that will be proven to be the case.

When we add AI to the cloud and modern software development tools, we find that AI will be able to quickly do some amazing things.

Please note that I am not talking about just ChatGPT, I believe within 5 to 10 years cloud providers could offer a way to create many complex systems in the cloud.

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Ancient_Persimmon t1_jdd8owl wrote

The fact that they've spun their EV operations to its own unit bodes well for them. This will help focus their efforts and hopefully avoid falling into bad habits of reusing too many legacy components/architecture, which seems to have kneecapped some of the other OEMs.

We're waiting to see their first fully dedicated EV, but the Mach-E and F-150L are really good considering they're parts bin cars made to get experience with EVs.

Burning billions is never fun, but it's got to be done sooner than later if they want to stay competitive.

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blueSGL t1_jdd7maq wrote

After refusing to say how many parameters GPT4 has, refusing to give over any details of training dataset or methodology and doing so in the name of staying 'competitive' I'm taking the stance that they are going to do everything in their power to obfuscate the size of the model and how much it costs to run.

e.g. Sam Altman has said in the past that the model would be a lot smaller than people expect and that more data can be crammed into smaller models. (Chinchilla and especially the very recent Llama papers prove this)

Would I put it past the new 'competitive' profit driven OpenAI to rate limit a GPT4 that is actually similar in size to GPT3 to give the impression the model is bigger and takes more compute to generate answers? No (as the difference in inference cost is pure profit)

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