The explosive growth of generative AI in 2022 and the subsequent hype surrounding it have given way to disillusionment in 2024. Despite its initial popularity, the technology faces significant challenges, including its inability to reliably fact-check its output and generate accurate information.
Generative AI took the world by storm in November 2022, with the release of OpenAI’s service ChatGPT. One hundred million people started using it, practically overnight. Sam Altman, the CEO of OpenAI, the company that created ChatGPT, became a household name. And at least half a dozen companies raced OpenAI in an effort to build a better system. OpenAI itself sought to outdo GPT-4, its flagship model, introduced in March 2023, with a successor, presumably to be called GPT-5.
Virtually every company hurtled to find ways of adopting ChatGPT (or a similar technology, made by other companies) into their business. There is just one thing: Generative AI doesn’t actually work that well, and maybe it never will. Fundamentally, the engine of generative AI is fill-in-the-blanks, or what I like to call “autocomplete on steroids.” Such systems are great at predicting what might sound good or plausible in a given context, but not at understanding at a deeper level what they are saying; an AI is constitutionally incapable of fact-checking its own work. This has led to massive problems with “hallucination,” in which the system asserts, without qualification, things that aren’t true, while inserting boneheaded errors on everything from arithmetic to science. As they say in the military: “frequently wrong, never in doubt.” Systems that are frequently wrong and never in doubt make for fabulous demos, but are often lousy products in themselves. If 2023 was the year of AI hype, 2024 has been the year of AI disillusionment. Something that I argued in August 2023, to initial skepticism, has been felt more frequently: generative AI might turn out to be a dud. The profits aren’t there—estimates suggest that OpenAI’s 2024 operating loss may be $5 billion—and the valuation of more than $80 billion doesn’t line up with the lack of profit
GENERATIVE AI CHATGPT AI HYPE AI DISCILLUSIONMENT AI LIMITATIONS
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
The AI Bubble Bursts: Generative AI's LimitationsThis article explores the hype surrounding generative AI and its subsequent disillusionment in 2024. It highlights the fundamental limitations of generative AI, its tendency to 'hallucinate' or generate false information, and the lack of profitability despite its high valuation.
Read more »
Reddit User's Post Captures the Disillusionment of AdulthoodA Reddit user's post detailing the disillusioning realities of adulthood resonated with many, highlighting the contrast between childhood expectations and the complexities of life.
Read more »
Democratic Party Faces Voter DisillusionmentA new study reveals growing dissatisfaction among Democratic voters, who criticize the party's perceived lack of effectiveness and alignment with their needs.
Read more »
Democratic Party Faces Voter Disillusionment, Research ShowsA new study reveals growing dissatisfaction among Democratic voters, highlighting concerns about the party's effectiveness and disconnect from working-class Americans.
Read more »
Democratic Voters Express Disillusionment, Call for ChangeA new study reveals that some Democratic voters are disillusioned with the party's direction and performance, calling for changes in both policy and messaging.
Read more »
Democratic Voters Express Disillusionment with PartyA new study reveals widespread voter dissatisfaction with the Democratic Party, highlighting concerns about its effectiveness and alignment with the working class.
Read more »