Google DeepMind Used a Massive Language Mannequin to Clear up an Unsolvable Math Downside
Will Douglas Heaven | MIT Know-how Evaluation
“In a paper revealed in Nature [on Thursday], the researchers say it’s the first time a big language mannequin has been used to find an answer to a long-standing scientific puzzle—producing verifiable and invaluable new data that didn’t beforehand exist. ‘It’s not within the coaching knowledge—it wasn’t even identified,’ says coauthor Pushmeet Kohli, vp of analysis at Google DeepMind.”
Supercomputer That Simulates Total Human Mind Will Change on in 2024
James Woodford | New Scientist
“Not like an bizarre pc, its {hardware} chips are designed to implement spiking neural networks, which mannequin the way in which synapses course of data within the mind. Such neuromorphic computer systems, as they’re identified, have been constructed earlier than, however DeepSouth would be the largest but, able to 228 trillion synaptic operations per second, which is on par with the estimated variety of synaptic operations in a human mind.”
In a World First, a Affected person’s Antibody Cells Have been Simply Genetically Engineered
Emily Mullin | Wired
“[B cells] make a lot of antibodies—hundreds of them each second. What if these antibody factories might be harnessed to make different issues the physique wants? That’s the concept behind a trial launched by Seattle-based biotech firm Immusoft. The corporate introduced at the moment that its scientists have genetically programmed a affected person’s B cells and put them again in his physique in an effort to deal with illness. It’s the primary time engineered B cells have been examined in an individual.”
TECH
All people’s Speaking About Mistral, an Upstart French Challenger to OpenAI
Benj Edwards | Ars Technica
“Mistral, based mostly in Paris and based by Arthur Mensch, Guillaume Lample, and Timothée Lacroix, has seen a fast rise within the AI house lately. It has been rapidly elevating enterprise capital to turn into a kind of French anti-OpenAI, championing smaller fashions with eye-catching efficiency. Most notably, some (however not all) of Mistral’s fashions run domestically with open weights that may be downloaded and used with fewer restrictions than closed AI fashions from OpenAI, Anthropic, or Google.”
OpenAI Demos a Management Methodology for Superintelligent AI
Eliza Strickland | IEEE Spectrum
“Earlier this yr, OpenAI launched its superalignment program, an bold try to search out technical means to regulate a superintelligent AI system, or ‘align’ it with human objectives. …The most important problem for this challenge: ‘It is a future downside about future fashions that we don’t even know methods to design, and positively don’t have entry to,’ says Collin Burns, a member of OpenAI’s superalignment crew. ‘This makes it very difficult to check—however I believe we additionally don’t have any selection.’ The primary preprint paper to return out from the superalignment crew showcases a technique the researchers tried to get round that constraint.”
Agility Is Utilizing Massive Language Fashions to Talk With Its Humanoid Robots
Brian Heater | TechCrunch
“It’s turn into more and more clear that these kinds of applied sciences are primed to revolutionize the way in which robots talk, be taught, look, and are programmed. Accordingly, quite a lot of high universities, analysis labs, and corporations are exploring the perfect strategies for leveraging these synthetic intelligence platforms. Nicely-funded Oregon-based startup Agility has been taking part in round with the tech for some time now utilizing its bipedal robotic, Digit.”
This New System Can Educate a Robotic a Easy Family Activity Inside 20 Minutes
Rhiannon Williams | MIT Know-how Evaluation
“A brand new system that teaches robots a home job in round 20 minutes may assist the sector of robotics overcome considered one of its largest challenges: an absence of coaching knowledge. The open-source system, referred to as Dobb-E, was skilled utilizing knowledge collected from actual houses. It might assist to show a robotic methods to open an air fryer, shut a door, or straighten a cushion, amongst different duties.”
Dishonest Fears Over Chatbots Have been Overblown, New Analysis Suggests
Natasha Singer | The New York Instances
“Final December, as highschool and school college students started attempting out a brand new AI chatbot referred to as ChatGPT to fabricate writing assignments, fears of mass dishonest unfold throughout the US. …However the alarm could have been overblown—not less than in excessive colleges. In line with new analysis from Stanford College, the popularization of AI chatbots has not boosted general dishonest charges in colleges.”
DIGITAL MEDIA
Information Publishers See Google’s AI Search Device as a Site visitors-Destroying Nightmare
Keach Hagey, Miles Kruppa, and Alexandra Bruell | The Wall Road Journal
“Shortly after the launch of ChatGPT, the Atlantic drew up an inventory of the best threats to the 166-year-old publication from generative synthetic intelligence. On the high: Google’s embrace of the expertise. About 40% of the journal’s net visitors comes from Google searches, which flip up hyperlinks that customers click on on. …What was as soon as a hypothetical menace is now a really actual one. Since Could, Google has been testing an AI product dubbed ‘Search Generative Expertise’ on a gaggle of roughly 10 million customers, and has been vocal about its intention to convey it into the center of its core search engine.”
Picture Credit score: Greg Rakozy / Unsplash