Final week OpenAI launched a brand new mannequin known as o1 (beforehand referred to beneath the code title “Strawberry” and, earlier than that, Q*) that blows GPT-4o out of the water.
In contrast to earlier fashions which are nicely fitted to language duties like writing and modifying, OpenAI o1 is targeted on multistep “reasoning,” the kind of course of required for superior arithmetic, coding, or different STEM-based questions. The mannequin can also 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 details improper, such LLMs have did not reveal the forms of expertise required to unravel vital issues in fields like drug discovery, supplies science, coding, or physics. OpenAI’s o1 is without doubt one of the first indicators that LLMs may quickly change into genuinely useful companions to human researchers in these fields. Learn the complete story.
—James O’Donnell
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This designer creates magic from on a regular basis supplies
Again in 2012, designer and pc 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 present, 4D printing is its personal area—the topic of an expert society and hundreds of papers, with researchers all over the world trying into potential purposes from self-adjusting biomedical units 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 do this with out printing? Learn the complete story.
—Anna Gibbs
This piece is from the newest print difficulty of MIT Expertise Evaluation, which celebrates 125 years of the journal! Should you don’t already, subscribe now to get 25% off future copies as soon as they land.
