Every day there are new headlines and opinion pieces about artificial intelligence.
Several times a week, I'll share a few of the stories that captured my attention. You will see a blurb or two from the featured articles along with links to read more.
The exciting new AI transforming search — and maybe everything — explained
Generative AI is here. Let’s hope we’re ready.
By Sara Morrison sara.morrison@recode.net Mar 4, 2023, 6:00am EST
If you feel like you’ve been hearing a lot about generative AI, you’re not wrong. After a generative AI tool called ChatGPT went viral a few months ago, it seems everyone in Silicon Valley is trying to find a use for this new technology. Generative AI is essentially a more advanced and useful version of the conventional artificial intelligence that already helps power everything from autocomplete to Siri. The big difference is that generative AI can create new content, such as images, text, audio, video, and even code — usually from a prompt or command. It can write news articles, movie scripts, and poetry. It can make images out of some really specific parameters. And if you listen to some experts and developers, generative AI will eventually be able to make almost anything, including entire apps, from scratch. For now, the killer app for generative AI appears to be search.
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Avoiding the dangers of generative AI
Some limitations of generative AI
Berk Birand is founder & CEO of Fero Labs.
Generative AI is not the answer for every situation or industry. When it comes to games, video, images and even poems, it can produce interesting and useful output. But when dealing with mission-critical applications, situations where errors are very costly, or where we don’t want bias, it can be very dangerous. Take, for example, a healthcare facility in a remote area with limited resources, where AI is used to improve diagnosis and treatment planning. Or a school where a single teacher can provide personalized training to different students based on their unique skill levels through AI-directed lesson planning. These are situations where, on the surface, generative AI might seem to create value but in fact, would lead to a host of complications. How do we know the diagnoses are correct? What about the bias that may be ingrained in educational materials? Generative AI models are considered “black box” models. It is impossible to understand how they come up with their outputs, as no underlying reasoning is provided.
NASA and Generative AI: A New Paradigm in the Making
As NASA and generative AI collaboration takes space tech to a new realm, researchers hope for an extra-terrestrial shift sirisha
NASA, the American space agency, has successfully developed spacecraft and mission hardware with the help of generative AI.
Usually, it takes a few months for engineers to design the parts of a spacecraft. The researchers view AI as design consultants which can take textual prompts to deliver the desired product. This is essentially telling a smart 3D machine to make a part that fits the way it is required. For example, the design specialist can start by telling the AI application where the parts connect and which spaces have to be left empty. The AI software then connects the dots to produce a complex structure design within an hour or two.
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