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lja

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投稿

William Morris Endeavor (WME) to Use Loti for Deepfake Removal

latimes.com
1 ポイント·投稿者 lja·2 年前·0 コメント

コメント

lja
·11 か月前·議論
You would need thousands to tens of thousands of images, not just 50 to produce an adversarial network that could use the API as a check.

If someone wanted to buy it, I'm sure reality defender has protection especially because you can predict adversarial guesses.

It would be trivial for them to build "this user is sending progressively more realistic, rapid responses" if they haven't built that already.
lja
·昨年·議論
I really think a "OpenAI Me" is what's needed.
lja
·2 年前·議論
Zilliz gave us a near 6-figure a month quote for our database.
lja
·2 年前·議論
10B, feel free to email me luke@ the domain in my profile.
lja
·2 年前·議論
That's because this product isn't for you then. My team has been evaluating vector databases for years and everything on the VectorChord page resonated with me. We run one of the world's largest vector databases and we'll likely benchmark vectorchord to see if it lives up to its promises here.
lja
·2 年前·議論
"It's funny but it doesn't apply to me." - most of the people in tech
lja
·2 年前·議論
Any OF models would be met with HN users over-explaining their own economics to them and how it's a terrible business that'll never work. These models will also learn they don't even have a moat to differentiate themselves from other offerings and should keep their development jobs. :)
lja
·2 年前·議論
I think it's important to contemplate the human component of mergers. If lots of gainfully employed people get let go so that fewer people can consolidate expenses and raise shareholder value I think it should be considered as part of the decision making framework.
lja
·2 年前·議論
The taxonomy of AI is the following:

AI

-> machine learning

...-> supervised

........-> neural networks

...-> unsupervised

...-> reinforcement

-> massive if/then statements

-> ...

That is to say NN falls under AI but everything falls into AI.
lja
·3 年前·議論
They are saying, "We are going to make our existing managers work harder, make the existing engineers deliver more because the $22 billion in profit we made in 2022 wasn't enough. We should consider how we can sacrifice more to make even more profit."