Final week OpenAI launched a brand new mannequin known as o1 (beforehand referred to underneath the code title “Strawberry” and, earlier than that, Q*) that blows GPT-4o out of the water.
In contrast to earlier fashions which might be nicely suited to language duties like writing and modifying, 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 also be educated 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 numerous details incorrect, such LLMs have didn’t exhibit the varieties 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 grow to be 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 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 present, 4D printing is its personal area—the topic of an expert society and 1000’s of papers, with researchers world wide wanting into potential purposes from self-adjusting biomedical gadgets to comfortable robotics.
However not lengthy after 4D printing took off, Tibbits was already wanting 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 subject of MIT Expertise Overview, which celebrates 125 years of the journal! For those who don’t already, subscribe now to get 25% off future copies as soon as they land.
