Wednesday, January 04, 2023

Artificial Intelligence

2022 Was the Year AI Finally Started Living Up to Its Hype Ever since deep learning burst into the mainstream in 2012, the hype around AI research has often outpaced its reality. Over the past year though, a series of breakthroughs and major milestones suggest the technology may finally be living up to its promise. ........ In the last year, however, there has been an undeniable step change in the capabilities of AI systems ....... these AI systems and their outputs are become increasingly visible and accessible to ordinary people. ....... the results they have produced in 2022 have blown previous iterations out of the water. ...... ChatGPT, an AI chatbot based on the latest version of OpenAI’s GPT-3 large language model. ........ and even produce convincing prose and poetry. ....... another OpenAI model called DALL-E 2 took the internet by storm with its ability to generate hyper-realistic images in response to prompts as bizarre as “a raccoon playing tennis at Wimbledon in the 1990s” and “Spider-Man from ancient Rome.” ........ could produce short video clips from text prompts ....... can generate music in the style of an audio clip it is played. ........

could replace traditional search engines, kill the college essay, and lead to the death of art.

........ services like ChatGPT, DALL-E 2, and text-to-image generator Midjourney open to everyone for free ........ an AI-powered code generator that the company said could match the average programmer in coding competitions. ....... had predicted the structure of almost every protein known to science, setting up a potential revolution in both the life sciences and drug discovery. ........ had trained its AI to control the roiling plasmas found inside experimental fusion reactors. ......... an AI that ranked in the top 10 percent of players in the board game Diplomacy, which requires a challenging combination of strategy and natural language negotiation with other players .......... trained an AI to play the complex 3D videogame Minecraft using only high-level natural language instructions. ........ DeepMind cracked the devilishly complicated game Stratego, which involves long-term planning, bluffing, and a healthy dose of uncertainty. ........... highly convincing bullshit generators. They are trained on enormous amounts of text of variable quality from the internet. And ultimately all they do is guess what text is most likely to come after a prompt, with no capacity to judge the truthfulness of their output. This has raised concerns that the internet may soon be flooded with huge amounts of convincing-looking nonsense. ............. would produce convincing-sounding material that was completely wrong or highly biased .......... ChatGPT, which despite filters put in place by OpenAI can be tricked into saying that only white and Asian men make good scientists. ............. self-driving cars, has seen significant setbacks, with the closure of Ford and Volkswagen-backed Argo, Tesla fending off claims of fraud over its failure to deliver “full self-driving,” and a growing chorus of voices claiming the industry is stuck in a rut. .......... deep learning is reaching its limits, as it’s not capable of truly understanding any of the material it’s being trained on and is instead simply learning to make statistical connections that can produce convincing but often flawed results. ........ the next big breakthroughs will come from multi-modal models that combine increasingly powerful capabilities in everything from text to imagery and audio

The viral AI avatar app Lensa undressed me—without my consent My avatars were cartoonishly pornified, while my male colleagues got to be astronauts, explorers, and inventors.

Thanks to DALL-E, the Race to Make Artificial Protein Drugs Is On
The Brief History of Artificial Intelligence: The World Has Changed Fast—What Might Be Next?
AI Timelines: What Do Experts in Artificial Intelligence Expect for the Future?

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