<\/p>\n
China\u2019s Moonshot AI Releases Model to Challenge Top US Systems<\/strong><\/a>Tracy Qu and Raffaele Huang | The Wall Street Journal ($)<\/em><\/p>\n “Moonshot said Friday that it planned to totally open-source the model, called Kimi K3, by late this month, where people will likely be generally free to download and adapt. With 2.8 trillion parameters dictating its decision-making, Kimi K3 is the world\u2019s biggest open-source model, in keeping with the Beijing-based startup.”<\/p>\n<\/div>\n The Fight Over Humanoid Robots Has Shut Down a Automobile Factory for the First Time<\/strong><\/a>Jiyoung Sohn | The Wall Street Journal ($)<\/em><\/p>\n “The union\u2019s response [to Hyundai’s new Atlas robot] was blunt: Atlas would never step onto a production line without employees agreeing first. This week, Hyundai\u2019s auto employees in South Korea have gone on a partial strike. It’s the automobile industry\u2019s first factory stoppage addressing humanoid robots.”<\/p>\n<\/div>\n Psiquantum Has a Plan to Make a Massive Quantum Computer Out of Light<\/strong><\/a>James O’Donnell | MIT Technology Review ($)<\/em><\/p>\n “PsiQuantum has attracted unusual investment and scrutiny for 2 reasons: It’s one in all the few corporations aiming directly at constructing a big and useful machine, and it’s already working with a significant chip manufacturer to construct its systems using existing semiconductor fabs.”<\/p>\n<\/div>\n Generative AI Is an Engineering Disaster<\/strong><\/a>Alex Reisner | The Atlantic ($)<\/em><\/p>\n “I asked a couple of AI researchers whether or not they could name every other real-world software that scales so poorly. None of them could consider any. Even outside the world of software, it\u2019s hard to seek out a comparable example, on condition that\u00a0economy of scale\u00a0is the principle that has made light bulbs, cars, and clothing so reasonably priced. By economic and engineering measures, generative AI may be the worst technology ever deployed.”<\/p>\n<\/div>\n How Hard Is It to Construct Orbital Data Centers, Actually?<\/strong><\/a>Eric Berger | Ars Technica<\/em><\/p>\n “You wish unprecedented heavy lift: reusable and rapid launch. You wish the power to fabricate the biggest satellites humans have ever built and to construct 100 times more of them than humans ever have for a single constellation. You’ve gotten to hope that radiation\u2019s impacts on chips are manageable and that radiational cooling scales. You furthermore may need a couple of trillion bucks.”<\/p>\n<\/div>\n Once Again We Are Told AI May Be Conscious\u2014I Study Consciousness, and I Have My Doubts<\/strong><\/a>Anil Seth | The Guardian<\/em><\/p>\n “The knowledge processing unfolding inside Claude is not any more more likely to lead to consciousness than a simulation of a weather system is more likely to generate an actual hurricane. AI systems are getting more powerful each day. But to provide ourselves the most effective likelihood of navigating this recent world, we must always remember how different we’re from our almost-magical creations. After we sell our minds too cheaply to our machines, we not only overestimate them, we underestimate ourselves.”<\/p>\n<\/div>\n AI Teaches a Bitter Biology Lesson<\/strong><\/a>Reed Albergotti | Semafor<\/em><\/p>\n “Future discoveries and therapies will come not from a human-like understanding of science, but by easy pattern recognition of latest biological information at scale. …[Richard] Sutton\u2019s bitter lesson is applicable to biology because a lot of the human body\u2014not only the mind\u2014continues to be beyond our understanding. And we\u2019ll find the best way forward by industrializing trial-and-error experimentation until the breakthroughs materialize.”<\/p>\n<\/div>\n Want Experts in 10 Years? Keep AI Away From Your Beginners Today<\/strong><\/a>La\u00ebtitia Vitaud | Fast Company <\/em><\/p>\n “A Nordic public school system and a 300-person American law firm aren\u2019t pursuing the identical goals. But they arrived at the identical conclusion: Beginners must first learn without assistance with a purpose to be, in a while, well assisted.”<\/p>\n<\/div>\n<\/div>\nRobotics<\/h4>\n
Computing<\/h4>\n
Tech<\/h4>\n
Space<\/h4>\n
Future<\/h4>\n
Biotechnology<\/h4>\n
Future<\/h4>\n
Space<\/h4>\n