Sam Altman’s goal raised about $ 7 billion to make artificial intelligence chips, telling a story that exceeds his crazy ambitions. First, the infrastructure needed to build artificial intelligence systems became expensive. Second, most of these funds are still controlled by a handful of large technology companies, and the little monopoly is exacerbated. Despite the competition that was a “chat GBT” chat robot at the end of 2022, and the flooding of new startups that jumped to the active and vibrant obstetrician intelligence market, it is likely that most of these new players are under the cover of businesses currently based in the next year. The cost of practicing this activity is so high that they cannot remain dependent on themselves. A high cost to take, for example, Unitary CEO Sasha Hako, investigating video clips on social media to monitor any content that violates the rules. This service will cost its business 100 times the cost of customer subscription to artificial intelligence instruments to investigate the video clips offered by Openai. Therefore, the company ‘unit’ has developed its own models, which in itself is a high -risk budget. The beginning should rare artificial intelligence discs rental of cloud services sellers such as “Microsoft” and “Amazon Web Services” from Amazon.com. Hako confirms that the prices of these chips have doubled since 2020, and it is difficult to discuss them. She told me, “We went through times when we couldn’t find what we needed, so we have to pay the price ten times.” Despite the success of “unity” in this matter, Hako acknowledges that no emerging company in the field of invasive intelligence is to achieve how to manage low cost activity on a large scale, at least not in the same way as the most important technology companies. Another founder of an artificial intelligence business in San Francisco told me that some of his peers who have to rent artificial intelligence and wool computer find that the only way to make money “is if people refrain from using the product.” “The best is as it is electricity. You are linked to your basic model and it is your electricity, and you consume it regularly. This consumption is the highest cost element in the solutions we offer to customers,” says Ronald Ashry, CEO of Dialogue.AI, which creates chat robots for industries subject to organization. The adults are the beneficiaries; Startups in the field of artificial intelligence can build their technology in two different ways. It can develop its own version of the “GPT -4” model (GPT -4 “(Gemini) model of” Goeni “of Google, for example, called the basic model of automatic learning, which should invest hundreds of millions of dollars. Or it can build on an actual model, which only needs investments in tens of millions, which are in both cases, which are in both cases. Wool -crushing “Microsoft”, “Amazon” and “Google” of Alphabet, and “Invidia” to make artificial intelligence slices. Parties belong to and often work in these startups, normal software engineers. only a significant reduction of costs. A major obstacle is a major obstacle to organizational procedures. Technology operations are concerned about the serious investigation related to combating monopoly in any major transactions in the field of artificial intelligence, due to the last wave of the most striking application of anti -monopoly laws. Hence the shift to investment instead of procurement offers. The investments of major technology companies in emerging artificial intelligence enterprises amounted to more than 24.6 billion in 2023, an increase of $ 4.4 billion in 2022, a transformation aimed at avoiding organizational investigation, according to Brendan Burke, one of the leading analysts in the Pitchbook, which we also provided with these numbers. Now, and after the US Federal Trade Committee has investigated some of these investments – Microsoft’s Billions Dollars bet on “Oben Ai” and “Anthropic” in “Anthropic” – says Burke, says Burke. Organizational pressure will prevent the acquisition of leading startups in the field of artificial intelligence, worth more than one billion dollars, such as “confusion”, “Cohere” and “Cohere” and “character” and “bending”. Instead, these businesses will attract these businesses. Investments – at least at the moment – are captured by some entities in the row of the long small businesses, while the rest of the startups fall under cost pressure. Strongest for the strongest is a play garden that is very similar to those we have today, as the biggest players continue to grow. It will be a victory for great technology, and we can also tell consumers, which will continue to acquire artificial intelligence services at a low price. But it is also a loss of competition and society. When artificial intelligence technology has general purposes that permeate all aspects of our lives under the control of a small handful of companies, it gives these businesses a tremendous power and influence. It will be better for us to avoid this result.
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