Amazon has launched an “educator enablement” program to help instructors at community colleges, HBCUs, and other minority-serving institutions learn and teach AI.
Quality AI education is still out of reach for many students who don’t attend selective research universities including many Black and Latino/a students. Amazon hopes to change that by investing in AI education at community colleges and HBCUs.
To ban, or not to ban, that is the question. I would guess that if Shakespeare were around nowadays, he might have said something like that about the recent efforts to ban the use of a type of AI known as Generative AI
Here’s the deal.
Some rather high-profile bans have been announced regarding the use of generative AI such as ChatGPT. We need to closely examine these bans and decide whether they make any sense. Here’s the scoop.
Google CEO Sundar Pichai announced the news in an email to staff, saying the company needed to focus on key priorities — like artificial intelligence.
Google is cutting approximately 12,000 jobs — the latest technology firm to initiate significant layoffs as inflation rises and global markets brace for a downturn.
Google SEO Sundar Pichai announced the cuts in an email to staff on Friday and a blog post. The job losses constitute around 6 percent of Google’s global workforce, compared to recent layoffs at Microsoft (10,000 jobs or 5 percent of the workforce), Amazon (18,000 jobs / 6 percent), and Meta (11,000 / 13 percent).
Google needs to focus on key areas like AI, says Sundar Pichai.
The New York Times reports Google founders Larry Page and Sergey Brin have discussed its response to ChatGPT, with plans to launch over 20 AI products this year, including a demo of its own search chatbot.
The recent launch of OpenAI’s AI chatbot ChatGPT has raised alarms within Google, according to reports from The.
As recently as December, we’d heard Google execs were worried that despite investing heavily in AI technology, moving too fast to roll it out could harm the company’s reputation.
Expect to see a Google search AI chatbot demo this year.
The wetware in a casket of bone that we each carry on our shoulders is 1 million times more efficient than the AI models run by services like ChatGPT, Stable Diffusion, or DALL-E.
In this TechFirst with John Koetsier we chat for a second time with Gordon Wilson, CEO of Rain AI, which is building a neuromorphic artificial brain simulating the structure of our biological brains, and aiming at 10,000 to 100,000 greater energy efficiency than current AI architectures.
We also discuss “mortal computation” and a radical co-design of the hardware and software for AI systems, which could lead to much more efficient (and more effective) smart tools, machines, and companions.
Links:
TechFirst transcripts: https://johnkoetsier.com/category/tech-first/
Forbes columns: https://www.forbes.com/sites/johnkoetsier/
Keep in touch: https://twitter.com/johnkoetsier
OpenAI has sparked an explosion of funding and software development around artificial-intelligence software that understands human language. While the technology still makes plenty of mistakes, new applications are coming out in droves, from tools that help marketers write copy to audio chatbots that may be able to negotiate discounts for customers of a companies like Comcast.
Last week, subscribers of The Information joined a conference call about the year ahead in AI with Noam Shazeer, CEO of Character, which is developing chatbots similar to OpenAI’s ChatGPT and who co-authored a seminal research paper on that subject while working at Google; and Clement Delangue, CEO of Hugging Face, which runs a Github-like service for software engineers to store their machine learning models.
If you dare to enter…
Scientists at the Japanese company Science are developing an ultrasonic bath that blasts users with tiny bubbles while displaying a relaxing video chosen for them by artificial intelligence.
Connor Leahy from Conjecture joins the podcast to discuss AI progress, chimps, memes, and markets. Learn more about Connor’s work at https://conjecture.dev.
Timestamps:
00:00 Introduction.
01:00 Defining artificial general intelligence.
04:52 What makes humans more powerful than chimps?
17:23 Would AIs have to be social to be intelligent?
20:29 Importing humanity’s memes into AIs.
23:07 How do we measure progress in AI?
42:39 Gut feelings about AI progress.
47:29 Connor’s predictions about AGI
52:44 Is predicting AGI soon betting against the market?
57:43 How accurate are prediction markets about AGI?