Since OpenAI released ChatGPT in November 2022, it has become the fastest-growing app of all time, causing panic within Google and sparking an arms race in generative AI among major tech companies.
1. Gave “hallucination” a new drug-free meaning
This year was the year everyone learned that computers can also hallucinate, but not in a fun or spiritual way. Hallucination is when generative AI fabricates its responses confidently, giving it the illusion that it believes something that isn’t true.
2. Brought deepfakes to the forefront
Deepfakes, or media modified by AI to look real, have been a longstanding concern. But this year, widely available generative AI tools made it incredibly easy to create realistic images, videos, and audio.
3. Raised alarms about training data
How did long memory language models (LLMs) become so good? They train on everything on the internet. Everything – Reddit posts, social media posts, Wikipedia pages, hundreds of thousands of pirated books, news sites, academic papers, YouTube translations, food blogs, memes – feeds the appetite of smart models.
4. Delivered AI-generated content
One of the amazing capabilities of generative AI is writing language that sounds natural. Currently, most AI-generated content reads like it was produced by a high school student who hasn’t read all the material – prone to confusion and a bit robotic. However, as time goes on, long memory language models improve, making the automation of news, press releases, job listings, creative work, and more inevitable for many people.
5. Promised to change our relationship with work
The promise of increased work productivity was a key selling point for tech companies that launched AI tools this year. Microsoft, Google, Zoom, Slack, Grammarly, and more praised generative AI’s ability to reduce tasks to a fraction of the time.
Source: https://me.mashable.com/tech/35836/5-ways-ai-changed-the-internet-in-2023
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