Big Tech's underground race to buy AI training data
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Re: Big Tech's underground race to buy AI training data
#2>Rates vary by buyer and content type, but Braga said companies are generally willing to pay $1 to $2 per image, $2 to $4 per short-form video and $100 to $300 per hour of longer films. The market rate for text is $0.001 per word, she added.
This is high enough that there should be a market to compensate the end users who created these
Re: Big Tech's underground race to buy AI training data
#3>Rates vary by buyer and content type, but Braga said companies are generally willing to pay $1 to $2 per image, $2 to $4 per short-form video and $100 to $300 per hour of longer films. The market rate for text is $0.001 per word, she added. This is high enough that there should be a market to compensate the end users who created these
There is a market...to compensate the platforms where creators uploaded the data for free.
Re: Big Tech's underground race to buy AI training data
#4Google having so many private photos in Google Photos must be a goldmine for them.
Re: Big Tech's underground race to buy AI training data
#5They talk about voice samples, but they don’t mention prices for them
Would it be attractive for a company like Twilio or Aircall to offer free phone calls and sell anonymized recordings?
Re: Big Tech's underground race to buy AI training data
#6This will be a fun reminiscence once we find out how humans are able to learn with just a tiny fraction of that data volume.
Re: Big Tech's underground race to buy AI training data
#7They talk about voice samples, but they don’t mention prices for them Would it be attractive for a company like Twilio or Aircall to offer free phone calls and sell anonymized recordings?
It would solve all government budget issues if the three letter agencys would start selling all data.
Re: Big Tech's underground race to buy AI training data
#8Who could have guessed giving away all of our data to corporations wholly focused on profit would be a bad thing?
Re: Big Tech's underground race to buy AI training data
#9This will be a fun reminiscence once we find out how humans are able to learn with just a tiny fraction of that data volume.
The data volume is actually not that different once you account for all senses and how many years it takes for a human to become useful. The interesting thing would be how the human brain filters out the unimportant information as it develops.
Re: Big Tech's underground race to buy AI training data
#10Google having so many private photos in Google Photos must be a goldmine for them.
> Google having so many private photos in Google Photos must be a goldmine for them.
While true, it's META who has won that arm's race long ago in my view; hell, they just disclosed that they have private access to DMs to Netflixh [0] in a lawsuit.
If you don;t think they are training their own models on this data over all their platforms you have to be a complete idiot o: Facebook, Instagram, Whatsapp.
That is a much larger treasure trove given the sheer scale of people on those platforms, Google is limited to mainly Android users and those who use it's suite on PC (relatively small compared to social media users), which excludes most Mac users.
The thing they don't tell you about this dark underbelly of AI is just like the (meta)data that is for sale to 3rd parties, it's tiered price structure wherein Mac users are often the premium tier de to their more 'affluent' status and likelihood of impulsive in app purchases.
This is why I think META already won the AI race, they opensource Llama and have the a massive treasure trove of data to refine and train when they see what the OSS community creates that is of actual value: ChatGPT/DALL-e runs at a loss for MS/OpenAI. But if anyone can monetize this gold rush it will be META.
And perhaps more critically from an infrastructure POV, Llamma now runs better on CPU [1] rather than GPU, which means they won't have to be constrained or price pinched on GPUs like Microsoft, Google, Amazon likely will due to demand constraints from Nvidia (see ETH mining craze during COVID). They can focus on optimizing their data centers with more free cash flow which meant they can have a bigger footprint for when they finally figure out how to properly monetize this AI bubble, because it is is a bubble, from now until then.
I think Zuck learned from Libra that staying out of the limelight during a bubble is critical if he wants to undo the Metaverse money-pit/losses.
0: https://www.movieguide.org/news-articles/facebook-allowed-ne...