ihopkins
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Centralized AI has some serious drawbacks.
For example, big tech companies like Google and Microsoft control massive datasets and models, creating single points of failure. One breach and your data is exposed.
It's also a power grab, with a few corporations dictating access and stifling innovation, leaving smaller players behind. Bias is another issue — when the same group builds and trains models, the results are skewed and don't reflect the real world. Not to mention scalability: Centralized systems struggle to handle spikes in demand, which increases costs.
Enter Fluence, a game-changer. Its decentralized, cloudless platform spreads computing power across a global network, reducing costs by up to 75% while avoiding vendor lock-in. It's secure and transparent, and it lets AI agents run freely, fostering innovation.
With Fluence, data stays where it belongs, and anyone can access powerful AI capabilities without relying on Big Tech. The future is open, not owned.
For example, big tech companies like Google and Microsoft control massive datasets and models, creating single points of failure. One breach and your data is exposed.
It's also a power grab, with a few corporations dictating access and stifling innovation, leaving smaller players behind. Bias is another issue — when the same group builds and trains models, the results are skewed and don't reflect the real world. Not to mention scalability: Centralized systems struggle to handle spikes in demand, which increases costs.
Enter Fluence, a game-changer. Its decentralized, cloudless platform spreads computing power across a global network, reducing costs by up to 75% while avoiding vendor lock-in. It's secure and transparent, and it lets AI agents run freely, fostering innovation.
With Fluence, data stays where it belongs, and anyone can access powerful AI capabilities without relying on Big Tech. The future is open, not owned.
Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content. See T&Cs.
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