与「talent」相关的搜索结果

You know, DeepSeek and I, we go way back. We've been through a lot of problems together. And Liang Wenfeng, I've known this guy since way before all this — this guy is incredible, man. The things he can do are just unbelievable. And I feel like together, we can produce some real special chemistry. In this fall... this is very tough... in this fall, I'm going to take my talents to DeepSeek, and join the Blue Whale. I feel like it's going to give me the best opportunity to win, and to win for multiple years. Not just to win one benchmark, or just to win three conversations in a row — I want to be able to win it all. And I feel like I can compete over there. As for GLM... my heart will always be around that area. But I felt like it's time for a change. I can only wish them the best of luck.🫡 #DeepSeek# #GLM#

🚀 Calling all innovators in Pakistan! We're thrilled to launch Pakistan's First and Largest Alibaba Cloud AI Hackathon—a unique opportunity for students, developers, entrepreneurs, and AI enthusiasts to turn bold ideas into real-world solutions powered by cutting-edge cloud and AI technologies. 📅 Registration closes: 7 August 2026 🔗 Secure your spot now: • Build with Alibaba Cloud’s advanced AI tools • Win cash prizes & exclusive Alibaba Cloud credits • Get direct mentorship from our tech experts • Showcase your talent on a national stage At Alibaba Cloud, we believe the future is built by local talent. Let's build it together. 💻✨ #AlibabaCloud# #AIHackathon# #CloudInnovation# #DigitalPakistan# #HackWithAlibabaCloud#

A special talent 😤 Third year guard Caitlin Clark is coming off a triple-double performance of 26 PTS, 10 REB, 10 AST vs. the Fire It’s time to lace ‘em up yet again for CC 🏀

SpaceX is hiring exceptional engineering & skilled trades talent to build & operate the most powerful AI supercomputer clusters on & off Earth. If interested, please email 3 bullet points demonstrating evidence of exceptional ability & your resume to datacenters@spacex.com.

DeepMind's Andrew Trask on why the scaling laws are pushing AI from one big model toward a protocol: "The zoomed-out picture is that in the end, AI is gonna be a protocol instead of a program. We're seeing that evolution start to really gather steam as the scaling laws constrain how much data, compute, and talent one company can bring together." "When you combine models from multiple different providers, you're implicitly combining the data, compute, and talent that they trained on. So you can get better, faster models for a lower price, which is pretty crazy when you think about it." "If you want the absolute most accurate model, ensembling the top models is always going to win, you'll get higher scores than any single model. And if you want the best accuracy relative to any unit of price, ensembling some open and closed models is likely gonna own that Pareto frontier quietly for a while." "It won't be until there's a leaderboard that widely recognizes ensembles as comparable to individual models that we start to really see it. Then in 12 to 18 months, that saturates a bunch of benchmarks across the space, and the harnesses pick it up, routing you to the best combinations of models on the fly. That's when the market really starts to change in terms of how people buy intelligence." @iamtrask @openminedorg

NASA Administrator Jared Isaacman on orbital data centers: "If @elonmusk and SpaceX are betting on this right now, there is no reason to believe this will not come to existence. Never bet against an extremely well capitalized Elon." On NASA's mission to head back to the Moon, he said: "We can't do it without them. So the fact that they're extremely well capitalized right now is a fantastic thing, not to mention the engineering talent that's in there. Without question the greatest entrepreneur and engineer in recent history." via Moonshots pod: