Ethan Mollick has published an opinionated guide to using AI right now, suggesting that people use OpenAI's published real-world usage data to judge when to use free models and when to upgrade to paid. He points out that the four most advanced systems are Claude, Gemini, ChatGPT, and Grok, with paid tiers at $20 per month or about $200 per month; the former suits most people, while the latter is aimed at complex technical and programming needs. For serious work, he recommends manually selecting an Agent model, such as GPT-5 Thinking Extended or GPT-5 Thinking Heavy.
Ethan Mollick has published an opinionated guide to using AI right now, suggesting that people use OpenAI's published real-world usage data to judge when to use free models and when to upgrade to paid. He points out that the four most advanced systems are Claude, Gemini, ChatGPT, and Grok, with paid tiers at $20 per month or about $200 per month; the former suits most people, while the latter is aimed at complex technical and programming needs. For serious work, he recommends manually selecting
In an article in One Useful Thing, Ethan Mollick argues that AI agents have crossed the threshold of being able to complete real work with economic value. He had Claude Sonnet 4.5, using only the paper text and replication data, read the paper on its own, organize files, convert STATA statistical code to Python, and check each item one by one; it successfully reproduced multiple research results, which he then double-verified with GPT-5 Pro. He believes the improvement in agent capability stems from the fact that a small gain in accuracy is enough to complete more steps, and from new models' ability to self-correct; at the same time, he warns that using them without judgment may also produce 17 PowerPoints that nobody needs.
In an article in One Useful Thing, Ethan Mollick argues that AI agents have crossed the threshold of being able to complete real work with economic value. He had Claude Sonnet 4.5, using only the paper text and replication data, read the paper on its own, organize files, convert STATA statistical code to Python, and check each item one by one; it successfully reproduced multiple research results, which he then double-verified with GPT-5 Pro. He believes the improvement in agent capability stems
Descript has published a beginner-oriented guide to making YouTube videos, breaking the process into 10 steps: topic research, script and storyboard, recording, editing, SEO optimization, title and description, format adaptation, thumbnail design, and uploading and sharing. The article advises beginners to prioritize clean audio, cut out dead air, and add subtitles in advance, and notes that Descript lets you record, edit by editing the transcript, and add subtitles all within the same tool.
YouTube's built-in clipping feature lets you capture 5–60 second clips, save them to the Your Clips tab, and loop them, provided the original creator hasn't disabled clipping permissions. On desktop, you can select Clip from the three-dot menu and drag the sliders to finish clipping; mobile doesn't support this feature, so you'll need to use device screen recording instead. If you need longer clips or want to post to TikTok or Instagram, you can use Descript's AI assistant Underlord and choose Create clips to automatically pick out the highlights.
YouTube's built-in clipping feature lets you capture 5–60 second clips, save them to the Your Clips tab, and loop them, provided the original creator hasn't disabled clipping permissions. On desktop, you can select Clip from the three-dot menu and drag the sliders to finish clipping; mobile doesn't support this feature, so you'll need to use device screen recording instead. If you need longer clips or want to post to TikTok or Instagram, you can use Descript's AI assistant Underlord and choose C
The Gradient published an article exploring neural algorithmic reasoning, that is, using deep neural networks to capture the computations of classical algorithms such as shortest paths and sorting. The article points out that MIT's "What Can Neural Networks Reason About?" demonstrates that the better the algorithmic alignment, the better the generalization; GNNs are naturally aligned with dynamic programming and outperform architectures with weaker inductive biases on DP execution benchmarks. The author also cautions that algorithmic alignment does not mean one can arbitrarily apply any highly expressive GNN, and out-of-distribution performance remains a key challenge.
The Gradient published an article exploring neural algorithmic reasoning, that is, using deep neural networks to capture the computations of classical algorithms such as shortest paths and sorting. The article points out that MIT's "What Can Neural Networks Reason About?" demonstrates that the better the algorithmic alignment, the better the generalization; GNNs are naturally aligned with dynamic programming and outperform architectures with weaker inductive biases on DP execution benchmarks. Th
Steve Moraco built the iPhone digital assistant DATA with Replit, using Apple Shortcuts to invoke OpenAI GPT by voice as a Siri replacement, and integrating Apple Maps, Mail, Calendar, and Notion. DATA includes built-in shortcuts such as Data Mems on-device long-term memory and Whisper audio transcription, and setup only requires a phone number and an OpenAI API key. The service reached over $216,000 in ARR within a few months.
A research team at North Carolina State University in the United States has published a new self-resetting soft ring jumping robot in the Proceedings of the National Academy of Sciences. It requires no manual resetting or complex control system, relying solely on the "physical intelligence" of liquid crystal elastomer materials and a ring structure, and jumps continuously more than 1,000 times under constant infrared illumination, with a maximum vertical jump height of up to 80 times its own height. The robot can also be adapted for "jump—swim—jump again" amphibious locomotion, and is expected in the future to be used for sensing and monitoring in complex environments such as grasslands, gravel, and shallow water.
A research team at North Carolina State University in the United States has published a new self-resetting soft ring jumping robot in the Proceedings of the National Academy of Sciences. It requires no manual resetting or complex control system, relying solely on the "physical intelligence" of liquid crystal elastomer materials and a ring structure, and jumps continuously more than 1,000 times under constant infrared illumination, with a maximum vertical jump height of up to 80 times its own hei
