Final week OpenAI launched a brand new mannequin known as o1 (beforehand referred to beneath the code identify “Strawberry” and, earlier than that, Q*) that blows GPT-4o out of the water.
In contrast to earlier fashions which are effectively fitted to language duties like writing and enhancing, OpenAI o1 is concentrated on multistep “reasoning,” the kind of course of required for superior arithmetic, coding, or different STEM-based questions. The mannequin can be skilled to reply PhD-level questions in topics starting from astrophysics to natural chemistry.
The majority of LLM progress till now has been language-driven, however along with getting a lot of info flawed, such LLMs have did not show the varieties of abilities required to unravel vital issues in fields like drug discovery, supplies science, coding, or physics. OpenAI’s o1 is likely one of the first indicators that LLMs may quickly grow to be genuinely useful companions to human researchers in these fields. Learn the total story.
—James O’Donnell
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This designer creates magic from on a regular basis supplies
Again in 2012, designer and laptop scientist Skylar Tibbits began engaged on 3D-printed supplies that might change their form or properties after being printed—an idea that Tibbits dubbed “4D printing,” the place the fourth dimension is time.
At this time, 4D printing is its personal area—the topic of knowledgeable society and hundreds of papers, with researchers around the globe trying into potential functions from self-adjusting biomedical gadgets to comfortable robotics.
However not lengthy after 4D printing took off, Tibbits was already trying towards a brand new problem: What different capabilities can we construct into supplies? And might we try this with out printing? Learn the total story.
—Anna Gibbs
This piece is from the newest print subject of MIT Expertise Assessment, which celebrates 125 years of the journal! When you don’t already, subscribe now to get 25% off future copies as soon as they land.