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SEAN: "We met last week." SCOTTIE: "I think we had a great interaction!" SEAN: "We didn't really interact." SCOTTIE: "We really didn't." Scottie Barnes and reporter Sean Leathong talk out their recent viral moment 😂 (📽️ @TSN_Sports)

One thing i had to get used to when socializing with women is that male attention is a sort of hard commodity to them. They value it like currency or precious metal and there is an invisible attention economy underneath the surface of most coed social interactions

Welcome @SuiNetwork to KuCoin Web3 Wallet. 🌐 Sui mainnet assets are now supported, giving users direct access to seamless asset management and interaction across the Sui ecosystem. Sui, where money moves as freely as messages, is a next-generation blockchain built for scalable finance and global payment.

Introducing Headlong, an open source microharness for persistent agents: self-guided agents that think continuously. Most agent harnesses are reactive: you send a task, the agent completes it, and then it sits frozen until the next request. Cron jobs and heartbeats wake it up to run a checklist and put it back to sleep. A Headlong agent is never asleep. It keeps generating thoughts about whatever it decides is interesting, in a self-guided loop inspired by human inner monologue. Your message doesn't start a session. It's one more observation that lands in the agent's thought stream, and the agent decides if and when to reply. Headlong is built on the idea of persistent agency: continuous inner thought generation between external interactions. The agent sets its own interests and priorities, comes up with its own projects, and sometimes pings you unprompted with progress. To keep our prototype as simple and small as possible, we implemented Headlong as a microharness: a complete agent harness in under 10K lines of Bash, organized as a handful of small executables. It includes a loop that generates the next thought, shellm (a recursive language model written in Bash), a trajectory stored as a DAG of jsonl files, and context as a projection of that trajectory. We've been running one Headlong agent internally at Laude for several weeks. The whole team talks to it over Slack and Telegram, and every conversation lands in its single stream of thought. It works in its own fork of Headlong and we've pulled over 50 of its commits into main. One night, with nobody talking to it, it went back to check whether a recall process it had built was actually wired into its mind, found that it wasn't, diagnosed and fixed the bug, and verified the fix end to end. 48 minutes, no human asked for the fix or was in the loop at any point. Every step is a timestamped line in its log. Things broke too, and we wrote those up. Background thinking costs us $1 to $2 an hour, our agent stopped its own service three times by accident, and self-delegation died on day one. Details in the post. One line installs everything and starts an agent. Use a dedicated sandbox and spend-capped API key; it runs real shell commands and thinks around the clock. Headlong is research software, be careful! curl -fsSL | bash Launch post: Repo: Headlong is a @LaudeInstitute / MIT collaboration.

I joined @coinbase to make our customer experience better. Four months in, the honest update is I'm feeling conflicted. We are making progress, but still have so much more to do. Trust me, I know there's a lot we could be doing better. But I want you to know the feedback is heard and appreciated by me and the team. Let me share a bit of what we've been doing since I joined. The best support is preventing people from needing support in the first place. Today, fewer customers need to contact support than at any point in our history. Some account restriction holds have dropped from 15 days to 2, and we are getting better at detecting issues and scams before they cause more harm. Obviously, issues still happen, so we're also working on a better experience for customers who need help. We've written the playbook for an end-to-end agentic experience that can solve many common problems immediately, use the context we already have, and bring in the right human specialist faster when judgment is needed. So customers do not have to start over and explain their situation again. What comes next is proving the experience is actually better: higher-quality automated help, fewer repeat contacts, faster access to the right human support when needed, and proactively catching issues before customers even feel the friction. I know we still have to earn the trust of the community, one interaction at a time, but I'm excited for the challenge.

So CZ officially closed his public wallet and said he not gonna use the wallet anymore One reason also He mentioned “ it’s almost impossible to clean out his wallet ” But lastly the solution he thought or pointed out about hiding random memes from wallet this feature actually useful for us. Idk why Cz thought it not needed 99.9% people ! ————————-//———————— Someone interaction Helps to fuel up community instead of leaving yourself full inactive 🤷‍♂️ @cz_binance