7/2/2023 0 Comments Conjure in a sentenceIn April 2022, OpenAI announced Dall-E 2, a text-to-image AI model that could generate photorealistic imagery. But the weak spots remained, and the history of embarrassing AI stumbles made many companies, including Google, Meta, and OpenAI, mostly reluctant to publicly release their cutting-edge models. The AI boom really began to take off around 2020, turbocharged by several crucial breakthroughs in neural-network design, the growing availability of data, and the willingness of tech companies to pay for gargantuan levels of computing power. Read More: OpenAI Used Kenyan Workers on Less Than $2 Per Hour to Make ChatGPT Less Toxic When Microsoft unveiled its chatbot Tay in 2016, it took less than 24 hours for it to tweet “Hitler was right I hate the jews” and that feminists should “all die and burn in hell.” OpenAI’s 2020 predecessor to ChatGPT exhibited similar levels of racism and misogyny. But the early AIs were painfully susceptible to parroting the biases in their training data: spitting out misinformation and hate speech. In the early 2010s, Silicon Valley woke up to the idea that neural networks were a far more promising route to powerful AI than old-school programming. The more data and computing power these networks are fed, the more capable they tend to become. Instead of the traditional approach to computer programming, which relies on precise sets of instructions yielding predictable results, neural networks effectively teach themselves to spot patterns in data. That conservatism stemmed in part from the unpredictability of the neural network, the computing paradigm that modern AI is based on, which is inspired by the human brain. While the technology is real, a financial bubble is expanding around it rapidly, with investors betting big that generative AI could be as market shaking as Microsoft Windows 95 or the first iPhone. Wall Street has responded with similar fervor, with analysts upgrading the stocks of companies that mention AI in their plans and punishing those with shaky AI-product rollouts. 7, throwing down the gauntlet at Google’s door. “A race starts today,” Microsoft CEO Satya Nadella said Feb. Google declared a “code red” corporate emergency in response to the success of ChatGPT and rushed its own search-oriented chatbot, Bard, to market. Microsoft is investing $10 billion in OpenAI, creator of ChatGPT and Dall-E, and announced plans to integrate generative AI into its Office software and search engine, Bing. In a matter of weeks, Microsoft and Alphabet-owned Google have shifted their entire corporate strategies in order to seize control of what they believe will become a new infrastructure layer of the economy. This frenzy appeared to catch off guard even the tech companies that have invested billions of dollars in AI-and has spurred an intense arms race in Silicon Valley. Forecasters at PwC predict that AI could boost the global economy by over $15 trillion by 2030. Proponents believe this is just the beginning: that generative AI will reorient the way we work and engage with the world, unlock creativity and scientific discoveries, and allow humanity to achieve previously unimaginable feats.
0 Comments
Leave a Reply. |