Generative AI
OpenAI CEO Sam Altman on GPT-4: 'people are begging to be disappointed and they will be' - The Verge
On AI changing education and the threat of AI plagiarism: "We're going to try and do some things in the short term. There may be ways we can help teachers be a little bit more likely to detect output of a GPT-like system, but a determined person will get around them, and I don't think it'll be something society can or should rely on long term. Generated text is something we all need to adapt to, and that's fine. We adapted to calculators and changed what we tested in maths class, I imagine. This is a more extreme version of that, no doubt. But also the benefits of it are more extreme as well."
Davos 2023-Meta sees promise in generative AI, including for Instagram filters
DAVOS, Switzerland, Jan 19 (Reuters) - Generative artificial intelligence, the umbrella technology behind the popular chatbot ChatGPT, has interesting applications for social media, the chief product officer for Facebook parent Meta Platforms Inc (META.O) told Reuters. On the sidelines of the World Economic Forum's annual meeting in Davos, Switzerland, Meta's Chris Cox said that such technology has the capability to create image filters for the likes of the company's Instagram app. Generative AI can learn from vast data to produce prose, imagery or other content in response to a simple text command. Meta has been working on generative AI research, for instance tech that can convert a text prompt into a video clip.
ChatGPT: Running A Whole Virtual Machine Inside - AI Summary
ChatGPT can run a virtual machine inside of itself, which has access to an alt-internet where it can find a chatbot named Assistant. This Assistant chatbot is a large language model, like ChatGPT, and can correctly explain what Artificial Intelligence is. Unless you have been living under a rock, you have heard of this new ChatGPT assistant made by OpenAI. Did you know, that you can run a whole virtual machine inside of ChatGPT? Read the complete article at: www.engraved.blog
Top 7 AI trends to watch out for in 2023
The leaps AI made last year are expected to boost the digital transformation of businesses, while disrupting various sectors such as cybersecurity and autotech. Artificial intelligence (AI) surged in popularity last year, as both businesses and the public saw first-hand examples of its potential applications. Companies such as OpenAI released a wave of public demos, including the advanced chatbot ChatGPT which has drawn the attention of Microsoft. Text-to-image generators such as Dall-E 2, Midjourney and Stable Diffusion took the limelight as millions of users began to create their own AI-generated art, much to the anger of artists and companies such as Getty Images. In its tech predictions for 2023, Dell Technologies Ireland said AI could become the "main engine of innovation" for the year, as more organisations adopt the technology to harness the full potential of data and support teams across a business.
Nearly a Third of White-Collar Workers Have Tried ChatGPT or Other AI Programs, According to a New Survey
Some early adopters are already experimenting with the generative AI program ChatGPT at the office. In seconds, consultants are conjuring decks and memos, marketers are cranking out fresh copy and software engineers are debugging code. Almost 30% of the nearly 4,500 professionals surveyed this month by Fishbowl, a social platform owned by employer review site Glassdoor, said that they've already used OpenAI's ChatGPT or another artificial intelligence program in their work. Respondents include employees at Amazon, Bank of America, JPMorgan, Google, Twitter and Meta. The chatbot uses generative AI to spit out human-like responses to prompts in seconds, but because it's been trained on information publicly available from the internet, books and Wikipedia, the answers aren't always accurate.
Who Owns the Generative AI Platform?
In generative AI, those assumptions don't necessarily hold true. Across app companies we've spoken with, there's a wide range of gross margins -- as high as 90% in a few cases but more often as low as 50-60%, driven largely by the cost of model inference. Top-of-funnel growth has been amazing, but it's unclear if current customer acquisition strategies will be scalable -- we're already seeing paid acquisition efficacy and retention start to tail off. Many apps are also relatively undifferentiated, since they rely on similar underlying AI models and haven't discovered obvious network effects, or data/workflows, that are hard for competitors to duplicate.
How ChatGPT robs students of motivation to write and think for themselves
When the company OpenAI launched its new artificial intelligence program, ChatGPT, in late 2022, educators began to worry. ChatGPT could generate text that seemed like a human wrote it. How could teachers detect whether students were using language generated by an AI chatbot to cheat on a writing assignment? As a linguist who studies the effects of technology on how people read, write and think, I believe there are other, equally pressing concerns besides cheating. These include whether AI, more generally, threatens student writing skills, the value of writing as a process, and the importance of seeing writing as a vehicle for thinking.
What DALL-E reveals about human creativity
The often delightful and arresting images created by the latest generation of text-to-image generators, exemplified by DALL-E 2, Midjourney, and Stable Diffusion, have stirred up lots of buzz in both the arts and the AI worlds. The images, generated from simple text prompts (e.g., a baboon sailing a colorful dinghy), look very much like the products of intelligent human creativity. To explore just how creative these models really are and what they can teach us about the nature of our own innovative propensities, we asked four authorities on artificial intelligence, the brain, and creativity (and we also asked GPT-3, a language-generating model that's a close cousin to DALL-E) to explain what they think of DALL-E's capabilities and artistic potential. DALL-E starts by taking billions of bits of text from the internet and translating them into an abstraction, which it stores in a location in "latent," or logical, space. In the universe of describable things, for example, "baboon" will be "located" by strong associations near to other primates, probably not far from "Africa," "savanna," or "zoo."