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オアシス21の豊田合成リンクにて松村香織最後？のオアシストークショーが開催されました👏平日の夜、寒い中沢山の方が来てくれてびっくり😳本当にありがとうございました🙇💗ミニライブも盛りがっていて良かったです☺✨なんか私の秘密沢山暴露されちゃったー😂💣そして #UHAGE# 広まれ～👨‍🦲

#オアシス21# トークショー&LIVE 寒い中来てくれて ありがとう😊🌷 みんなー！ #UHAGE# 知ってるかい？？ りょうはのUHAに 香織さんのHAGEで。 #UHAGE# 香織さん大好きなんだよなあ。💓 かおりさーん😊💓💓

Exciting Claude Duet update: every Pro, Max and Ultra subscriber in the US who was on the waitlist as of yesterday has now been invited. Thank you for your patience! If you haven’t joined yet, the waitlist is here: We also wanted to share a note on usage. To give you room to play with Claude Duet, the research preview comes with limit resets: 3 for Pro, 1 for Max and Ultra. Please check your inbox, give Claude Duet a try, and keep the feedback coming. We’re aiming to open up to more countries outside the US very soon.

Beta Updates Surge Engine • Added VLESS Encryption (mlkem768x25519plus), including share-link import and proxy editor controls. • Added VLESS XHTTP transport with stream-one, stream-up and packet-up modes over HTTP/1.1, HTTP/2 or HTTP/3, including VLESS Encryption and Vision. • Reduced memory retained after QUIC downloads on lossy networks. • Improved QUIC upload performance and reduced CPU usage when chained through a proxy's UDP relay. • Fixed established VLESS gRPC, HTTP/2 CONNECT and TrustTunnel connections being incorrectly counted as connection setup failures when they ended with an error. • Fixed WebSocket policies failing to connect when their ALPN list included h2 and the server selected it. • Fixed Tailscale connections staying on a relay after a peer restarted because updated peer information was not applied. Surge iOS • The proxy editor now imports share links for all supported proxy protocols, as well as proxy lines copied from Surge profiles; unsupported settings are reported instead of silently omitted. • Reorganized the proxy editor with an Advanced page that indicates settings in use, and added controls for more protocol, TLS, WireGuard, Tailscale and testing settings. • Fixed Always use CONNECT not being saved for HTTPS policies, and corrected when TLS and Block QUIC settings appear. • Updated list layouts and badges, and added member counts for policy groups in the proxy list. Surge Mac • The proxy editor now imports share links for all supported proxy protocols, as well as proxy lines copied from Surge profiles; unsupported settings are reported instead of silently omitted. • Reorganized the proxy editor with a remembered Show Advanced Settings option and controls for more protocol, TLS, WireGuard and Tailscale settings.

You're right that cost efficiency is what actually decides usage at scale. Hydrogen hits near-frontier scores at the lowest price and highest speed of the group, so it leads for most practical work. Carbon still takes pure hard-task capability when the budget allows. The rest sit higher on the price curve for smaller gains.

Multi-agent workflows have a scaling problem! The agents inside the same workflow rarely need the same amount of capacity at the same time. Say you have a planner, multiple research agents, and a final synthesis agent. The planner might finish quickly while requests start piling up behind one of the research agents. Scaling the entire application would add capacity everywhere, even though only one part of the workflow actually needs it. CanyonOS is an open-source, workflow-aware platform for multi-agent Python applications and the harness between your agents. Each agent runs as a separate service with its own queue and replica limits, so the busy research agent can get additional capacity while the planner and synthesis agents stay where they are. It also handles communication between the agents and gives you visibility into what happens across the workflow after a request comes in. CanyonOS records the path a request took, including the agents it called, parallel branches, model usage, execution time, and estimated model costs. And you don't need to add tracing decorators or a separate instrumentation SDK throughout your agent code. You still integrate the workflow with CanyonOS, but tracing is handled at the platform layer. I also ran a multi-agent portfolio analysis workflow through it with separate agents working across three stocks. A single request produced 10 traceable steps across the workflow, and I could see which agents ran, where the LLM calls happened, how long each stage took, and the estimated model cost. For multi-agent applications, being able to operate each agent independently while still seeing the complete execution path becomes much more useful as the workflow grows. CanyonOS is open source. Link to the GitHub repo in the comments!

SpaceX has just unveiled a massive new $50 billion Supercomputing Campus that they want to build in Cochise County, Arizona. All info: • Up to 6 GW across the 9 supercomputing buildings • Construction starts 2027 • Size of each supercomputing building: ~493,000 square feet. • Total supercomputing building space: 4.44 million square feet, excluding support facilities. • SSVEC residential customers are projected to see electricity bill reductions of 10–40%. • Up to 24 GWh of grid-connected battery storage to provide backup power, stabilize the regional electric grid, support local voltage, and absorb fluctuations in electricity demand. Among the largest planned battery installations in the United States. • Additional solar generation in the region is planned to supply renewable electricity during the day and reduce demand on the local grid. • No dedicated on-site power plant or fuel storage yard is planned. • Each supercomputing building will have 10 MW of natural-gas-powered standby generation for critical equipment, operating only during utility outages and periodic testing. • No gas turbines will be installed at the site. • SpaceX plans to fund $3.6 billion in grid infrastructure upgrades, transferred to AEPCO at no cost to its members. • Up to $260 million annually in additional benefits for cooperative members at full buildout, on top of residential bill reductions. • Up to $200 million annually for cooperative members statewide, in addition to SSVEC benefits. • The supercomputers will use dry cooling with a closed-loop water circulation system rather than evaporative cooling. • SpaceX projects zero ongoing industrial water consumption. • The cooling system will be filled initially, with water reused for up to 10 years. • SpaceX estimates annual water usage equivalent to approximately 20–30 Arizona residential homes. • Projected annual water use would be less than 2.5% of a single center-pivot irrigation system's annual consumption. • Permanent jobs: Approximately 1,000. • Construction jobs: Approximately 5,500. • Annual property tax revenue: Up to $103 million in estimated new annual revenue. • Regional economic benefits: SpaceX says its investment will support public education, infrastructure, essential local services, and economic development. • Local suppliers: SpaceX is encouraging suppliers to participate in construction and development of the campus. • Noise mitigation: Equipment will be positioned away from neighboring properties where possible, with setbacks and additional screening to reduce noise. • Nighttime lighting: Outdoor lighting will remain off unless work is underway, with active lights shielded and directed downward. • Dark-sky protection: The campus will comply with Cochise County's dark-sky requirements to limit light pollution. • Nighttime construction: SpaceX says it will seek waivers when nighttime construction lighting is necessary. • Wildlife protection: The campus is being designed with consideration for the region's sandhill crane wintering habitat. This campus's purpose is to build one of the world's most advanced AI supercomputing campuses to train SpaceX's superintelligence models and support scientific and engineering breakthroughs. Learn more: