Product Development

While Microsoft and Google scramble to supercharge their businesses with text generation, Meta has yet to launch a flagship generative AI service. Reporters went looking for reasons why.

Google’s response to Microsoft’s GPT-4-enhanced Bing became a little clearer. Anonymous insiders leaked details of Project Magi, the search giant’s near-term effort to enhance its search engine with automated conversation.

Amazon joined big-tech peers Google, Meta, and Microsoft in rolling out services that provide generated text and images. The online retailer launched early access to Bedrock, a cloud platform that offers generative models built by Amazon and its partners.

Chatbot-fueled FOMO is overwhelming cloud-computing services. Cloud providers are struggling to meet sharply rising demand by a crowd of AI startups eager to cash in on generative AI, The Information reported. The surge in demand caught Amazon Web Services, Microsoft Azure, and others off guard.

Stanford’s sixth annual AI Index takes stock of a rapidly growing field. The sprawling, 386-page report from the Institute for Human-Centered AI presents the past year’s developments in AI based on a wide variety of sources including benchmarks, papers, market research, job listings, and polls.

Looking for work in AI? Brush up on your language skills. Employers are hiring prompt engineers to write natural-language prompts for AI models, The Washington Post reported. They include Anthropic, Boston Children’s Hospital, and the London law firm Mischon de Reya.

Amazon, Apple, and Google have been building chatbots for years. So how did they let the alliance between Microsoft and OpenAI integrate the first smash-hit bot into Microsoft products?

Microsoft laid off an AI ethics team while charging ahead on products powered by OpenAI. On March 6, the tech giant dissolved the Ethics & Society unit in its Cognition group, which researches and builds AI services, amid ongoing cutbacks that have affected 10,000 workers to date...

Microsoft aimed to reinvent web search. Instead, it showed that even the most advanced text generators remain alarmingly unpredictable. In the two weeks since Microsoft integrated an OpenAI chatbot with its Bing search engine, users have reported...

AI startups are putting their cash into . . . AI startups.What’s new: Young AI companies flush with venture capital are purchasing startups to expand the range of services they can offer.

Academic courses can teach you the ins and outs of machine learning, but they can't fully prepare you for putting your work into production. To get the experience you need, you need to come up with your own projects from scratch.

If you want to work in artificial intelligence, machine learning, or data science, I have great news: New jobs are opening in these areas at a great rate, and there’s no reason why you can’t get one of them.