Deep Seck .. a shock in the artificial intelligence market

The Chinese company, Deep Cick, sparked a wide pause after its announcement, through a paper published in the journal “Nature” and underwent a review of the peer, that the cost of training the basic artificial intelligence model (R1) did not exceed 294 thousand dollars only. This number, if correct or exposed to a different interpretation, is much less than the estimates previously mentioned about the costs of training the major basic models in the West, which may exceed hundreds of millions.

The paper stated that the training of the model relied on a computer group of Entepia slices (512 H800 chip), and that the model focuses on the capabilities of logical thinking and inference. The came as an update of a previous paper issued by the company in January, but it added this financial information for the first time, which raised questions about how this cost efficiency was achieved. Deep Seck caused confusion among some global investors when the company previously proposed, which led to the sale of shares of technological companies linked to artificial intelligence, such as slides companies. Western institutions and officials questioned the accuracy of the numbers or the criteria used for comparison, and some considered that such numbers may not reflect the full costs (including research, development, infrastructure and product marketing). On the other hand, the president of Oben AI IMtman had previously stated that training of the founding models was assigned “much more” of one hundred million dollars, which is a statement used Compared to Deep Seck numbers. The fundamental difference in costs opens questions about the capabilities of improving costs, the difference in engineering methods, or the user computing tools, or even the cost calculation method. What does this mean for the artificial intelligence market?
If Deep Sek numbers are correct, this means that the costs of training hardware may drop radically if they are completed effectively at low cost, which may change competition rules and reduce entry barriers in front of small and medium companies. If the numbers are less accurate or compare different criteria, the effect remains greater in market concepts: a decrease in potential costs means a new race for innovation and competition for the ability to spread advanced applications competing with major companies. Deep Seck is a strong indication that the global artificial intelligence arena has not yet been resolved; Technology advances quickly, costs and methods of scrutiny and change. Markets, investors, and regulatory authorities will remain approaching these news with caution until the technical and financial image is permanently clear.