Investors are barely breaking even as the venture is hardly making any profits due to a shortage of chips, divided interests, and more.
… OpenAI has already seen a $540 million loss since debuting ChatGPT.
… OpenAI uses approximately 700,000 dollars to run the tool daily.
⚠️ First off, apologies as I didn’t cross check. Take it w/ a grain of salt.
This piece of news, if true, somehow explains why OpenAI has been coming up w/ weird schemes for making $$$ like entering the content moderation space.
On a similar note, I wonder if this had been a key driver (behind the scenes) in the recent investment in open source AI initiatives (Haidra comes to my mind?) Perhaps some corporations who haven’t got enough $$$ to fund their own dedicated research group are looking to benefit from an open source model?
Open AI died the moment Meta’s Llama model weights were replicated completely open source. The outcome is guaranteed. It does not matter how much better the enormous proprietary model can be, people will never be okay with the level of intrusive data mining required for OpenAI or Google’s business model. Personal AI tech must be open source and transparent with offline execution. AI is the framework of a new digital economy, not the product.
Where do you meet these people? I need more of such people in my life.
Yeah, I was about to say, 99% of people are either unaware or do not care. Don’t mistake Lemmy’s privacy opinions as representative of the general population.
‘People’ in this respect are also the owners of media sites.
There’s currently a meeting in Germany with about 4000 of them.
But it’s not the prevailing mindset in the general population.
That is one interesting sentence. Thanks.
I don’t think it’s as much that the meta model was replicated as much as they fully open sourced it with a license for research and commercial use.
I actually think the market demand will be fairly small for fully offline AI. The largest potential customers might be government who require full offline hosting, and there is a small group of companies servicing that niche. But even government customers who require that their data is segmented are simply having enclaves setup by the big cloud platforms where they guarantee that inputed data isn’t fed into the training process and doesn’t leave the customer environment.
I fully support folks who sustain open source AI frameworks, but in terms of commercial customers that will drive industry trends with dollars, I expect there will be demand for hosted solutions that use proprietary models.
Yeah, but not models that are trained on data that raises copyright concerns, which is currently the case.