Sorry to say, I would take this with grain of salt. Not making profits is part of business model of these pioneering companies. Google, Amazon and Uber (etc) were in the negatives for so many years and they absorbed the losses in order to be the dominant brands where at the end users become dependent on them. At that point they’ll start to charge exorbitantly and forcefully add unneeded features that will exert more control upon their users but there’s nothing that they can do but pay, for the simple fact that they can’t do without them.
And you are the only voice of reason in this thread.
“Make up shit that makes OpenAI look bad” is like tech article gold right now. The amount of times i am seeing “look what ChatGPT said!!!” As if prompter intention is completely irrelevant to model output.
Objectivity doesn’t exist anymore. It’s just really popular to talk shit about ai right now.
Like when Altman effectively said “we should only regulate models as big or bigger than ours, we should not regulate small independent or open source models and businesses” to Congress, which was followed by endless articles saying “Sam Altman wants to regulate open source and stamp out smaller competition!”
I have no love for how unopen they’ve become, but at least align criticisms with reality please.
Burning through billions of investors money isnt the same as being profitable. The Silicon Valley gravy train is over, and investors are actually demanding to start seeing returns on their investments.
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.
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.
The courts aren't going to side with copyright holders. As much as the US loves its ridiculous copyright laws it loves profit and being on the bleeding edge of tech more. There is absolutely ZERO chance that the United States will let China, who does not care about IP, carry the keys to the AI kingdom
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.
$700k/dsy. That's $260 million per year. There are 360 million paid seats of MS360. So they'd have to raise their prices $0.73 per year to cover the cost. No one will notice.
The Response:
OpenAI, the organization behind the development of AI models like GPT-3, has a few strategies to generate revenue:
Licensing and Subscription Models: OpenAI can license its AI models and technologies to businesses, developers, and organizations for various applications. This could involve offering different pricing tiers based on usage, features, and support.
API Access: OpenAI can offer access to its AI models through APIs (Application Programming Interfaces). Developers and companies can integrate these APIs into their products, applications, or services, paying for the amount of usage.
Customized Solutions: OpenAI can collaborate with specific industries or companies to develop customized AI solutions tailored to their needs. These solutions can range from customer support bots to content creation tools.
Premium Features: OpenAI could offer advanced features, improved performance, or specialized functionality as part of premium packages, enticing users to upgrade their subscriptions.
Partnerships and Collaborations: OpenAI can collaborate with other tech companies, research institutions, or industries to jointly develop and commercialize AI applications.
Consulting and Services: OpenAI could provide consulting services, training, and expertise in AI technology to help organizations integrate AI into their operations effectively.
Training and Workshops: OpenAI can offer training programs, workshops, and educational resources to help individuals and businesses better understand and utilize AI.
Data Services: OpenAI can offer datasets, annotations, and data-related services to researchers, businesses, and developers working on machine learning projects.
Vertical-Specific Solutions: Developing AI solutions tailored for specific industries, such as healthcare, finance, or marketing, and offering them as industry-specific packages.
Community Contributions: OpenAI can build a community around its AI models and offer a platform for users to share and monetize their own creations, benefiting from the broader ecosystem.
It’s important to note that OpenAI’s approach to generating revenue will likely be influenced by factors such as market demand, ethical considerations, user feedback, and the evolving landscape of AI technologies and regulations. OpenAI aims to strike a balance between generating revenue and advancing its mission of ensuring AI benefits all of humanity.
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