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How DeepSeek and Next-generation aI Agents might Erode Value Of Language Models
In the web transformation, we’re moving from building websites as the primary business to actually business – so, the Airbnb of AI, the Stripe of AI,” he added. “They are not about the model. They have to do with the system and how you make the model useful for jobs.”
The arrival of DeepSeek’s R1 model last week is seen by some tech CEOs as an additional indication LLMs are becoming significantly commoditized.
R1 incorporates some essential elements that differentiate it from other designs on the marketplace. For instance, the design includes a “mixed accuracy” framework that utilizes a combination of full-precision 32-bit drifting point (FP32) numbers and low-precision 8-bit floating point (FP8) numbers.
The latter is quicker to procedure however can be less accurate. However, rather than depend on one or the other, DeepSeek utilizes FP8 for a lot of computations and changes to FP32 for certain jobs where a higher degree of accuracy is required.
“As AI gets more efficient and available, we will see its usage skyrocket, turning it into a product we just can’t get enough of,” Microsoft CEO Satya Nadella composed on social media platform X, in an apparent referral to DeepSeek.
Meanwhile, Matt Calkins, CEO of U.S. software application firm Appian, told CNBC that DeepSeek’s success simply reveals that AI designs are going to end up being more of a product in the future.
“In my opinion, we’re visiting a commoditization of AI. Many business will attain competitive AI, and an absence of differentiation will be bad for high-spending first-movers,” Calkins said via email.