Dec. 20, 2024, 7:04 a.m.
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Generative AI's Rise and Fall: OpenAI's ChatGPT and the Industry's Challenges

Brief news summary

OpenAI's ChatGPT, launched in November 2022, quickly gained popularity, reaching 100 million users and thrusting CEO Sam Altman into the spotlight. This rapid success prompted competitors to accelerate their AI advancements to keep up with OpenAI's cutting-edge technology. Currently, OpenAI is working on a successor to its GPT-4 model, which might be named GPT-5, following its launch in March 2023. Despite this, generative AI as a field is encountering significant challenges. These AI systems act as sophisticated autocompletes but often produce outputs that seem plausible yet are incorrect, a phenomenon known as "hallucinations." As expectations outpace the current capabilities, 2024 might mark a period of AI disenchantment. OpenAI is also facing financial difficulties, expecting losses close to $5 billion in 2024, affecting its substantial valuation. Efforts to develop models larger than GPT-4 are showing reduced returns and impacting profitability. Consequently, OpenAI has lowered its prices, while competitors such as Meta are offering similar technologies for free. Although new products have been released, OpenAI has not introduced groundbreaking innovations. Without a significant breakthrough like GPT-5 by 2025, OpenAI's influence and the momentum of generative AI might experience a notable decline.

Generative AI made a huge impact in November 2022 with the launch of OpenAI's ChatGPT, quickly attracting 100 million users. Sam Altman, OpenAI's CEO, gained widespread recognition. Numerous companies, including OpenAI, competed to create superior AI systems, with OpenAI aiming to surpass its flagship model, GPT-4, released in March 2023, with an anticipated GPT-5. Nearly every business raced to integrate ChatGPT or similar technologies from competitors into their operations. However, there's a major issue: Generative AI isn't highly effective and may never be. At its core, generative AI functions like an advanced autocomplete, excelling at predicting plausible-sounding responses but lacking deeper comprehension and fact-checking abilities. This limitation has resulted in significant issues with "hallucination, " where the AI confidently states incorrect information and makes basic errors in subjects like arithmetic and science. The military phrase "frequently wrong, never in doubt" captures this well. Such systems, while impressive in demonstrations, often fall short as reliable products. If 2023 was marked by AI hype, 2024 has seen growing disillusionment.

What I suggested in August 2023—that generative AI might be a letdown—has gained more acceptance. Profits are lacking; OpenAI's estimated operating loss may hit $5 billion in 2024, and its over $80 billion valuation seems misaligned with these losses. Many users find ChatGPT doesn't meet the extremely high expectations it initially set. Additionally, most big companies follow similar approaches, developing larger language models without significant improvements beyond GPT-4. This means no single company has a competitive edge ("moat")—leading to diminishing profits. OpenAI has already slashed prices, and Meta is offering similar tech for free. Currently, OpenAI is showcasing but not releasing new products. Without a groundbreaking advancement like GPT-5 by the end of 2025, notably better than rivals, the excitement surrounding OpenAI will fade. As OpenAI embodies this field, the entire industry might collapse.


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Generative AI's Rise and Fall: OpenAI's ChatGPT and the Industry's Challenges

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