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💿2010.12.22 Release💿 URATA NAOYA feat. ayumi hamasaki ✨『Dream ON』✨ リリースから14年… 今もこれからも大切な曲。 #浦田直也# #浜崎あゆみ# #uratanaoya# #ayumihamasaki# #DreamON# MVはコチラから⬇️ ▶️

Big news: MiniMax-H3 by @MiniMax_AI is now the #1# open model in Video Arena: across both Text-to-Video and Image-to-Video. This is +280pts over the next best open model, hunyuan-video-1.5, and a huge improvement from Hailuo-2.3 at #27# (1199 pts) and Hailuo-02-pro at #28# (1197 pts). In Image-to-Video specifically, it scored 1476 pts, just 2 pts away from Dreamina Seedance-2.0 (1478), making it tied for#1# overall! Learn more about how MiniMax-H3 performed in Text-to-Video Arena in thread.

Discover what's next with Dreamina Seedance 2.5. Join 2 sessions on the API upgrade, real-world applications, and case insights. Webinar 01 | Aug 7 API Upgrade & Real-World Applications Webinar 02 |Aug 13 Real-World Case Study 18:00 BJT / 12:00 CEST / 11:00 BST

Dreamina Seedance 2.5 is now live! From creators to enterprises, a new era of AI video creation begins. Try Seedance 2.5 on Dreamina today. Enterprise API access via BytePlus is coming soon. Create longer videos with greater control: - Native 30-second generation - Precise video editing - Support for up to 50 multimodal references - Multilingual video generation More consistency. More control. More possibilities.

President Trump says four companies have now met his administration's deadline to develop privately funded advanced nuclear reactors, calling it the first time in more than four decades that new reactor designs are moving forward in the U.S. He says a process that once took six years or more has been dramatically accelerated, adding that the U.S. is now leading the world in next-generation nuclear power. "America is building again. America's dreaming again."

riding on street, dreaming about park 💭 🚲 @KevinPeraza tune in to watch Kevin rep XC. Tokyo in Men's BMX Street at the @moonpay X Games League Championship, streaming live at 5pm CT on @TheRokuChannel 🏆

Anthropic's Lance Martin just walked through how they build agents that run for hours with no human in the loop. His talk on async, long-horizon agents in 5 timestamps: 3:19 – split the brain from the hands 6:20 – build agent vs verifier agent in a loop 8:18 – 20 iterations to clear an ML benchmark, unsupervised 13:19 – "dreaming" fixes memories the agent got wrong 16:08 – Claude Tag as an org-level harness, not a slackbot The point: past the 1-hour mark, architecture (not just model size) is what makes async agents work. Solid 25 min if you're building anything long-running.