What's next? - It goes to City Council May 20 (TEYCC is just DT councillors) - City Staff still need to figure out a feasible plan - We need to start organizing a community group to steward the space & make it a success! Plants, art, performances, street cleaning, & supports!

NEW: An advocacy group is planning to file a constitutional challenge to Ontario’s freedom of information clampdown, arguing it breaches the right of voters to be informed for a meaningful debate about public issues. globalnews.ca/news/11824648/… #onpoli

The list is longer than the song.

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

draw.io diagrams now stream into Claude as they're generated. Shape by shape, edge by edge. github.com/jgraph/drawio-mcp…

Claude Code 2.1.90 just dropped with a new /powerup command Run it and you get interactive lessons that teach you how to use Claude Code right inside the tool. It's solid and has a lot of potential for learning directly in the terminal. Curious how the UI will look in VSCode and Claude Code Desktop. Going to keep digging into this new release!

pitched the city of toronto on a free hackathon where builders use public open data to solve real city problems. top AI lab funding the grand prize. zero cost to the city. during the biggest tech week in the country. their answer: "concerns about branding." so it got killed by "leadership" the data is public. the builders are ready. the city said no to people volunteering to fix their problems for free. so we're doing it anyway. every participant gets API credits. winners get cash prizes, credits, and merch. judging panel includes engineers from the lab itself. we need two things: 🏢 a venue partner - if your company, university, or org wants 150 of toronto's best AI builders in your space for a day, dm me. (space must have good vibes and be central to the city) 🧩 a nonprofit or community org with a real problem - we'll point the builders at it. housing, transit, food security, whatever. if the city won't bring the problems, someone else will. the city couldn't figure out the paperwork. maybe you can. the city doesn't have to show up for the city to benefit. cc: @oliviachow @EvanLSolomon @fordnation @buildfutureto @cityoftoronto @MarkJCarney

Computer use is now in Claude Code. Claude can open your apps, click through your UI, and test what it built, right from the CLI. Now in research preview on Pro and Max plans.

someone at ANTHROPIC just showed CLAUDE finding ZERO DAY vulnerabilities in a live conference demo claude has found zero day in Ghost, 50,000 stars on github, never had a critical security vulnerability in its entire, history... it found the blind SQL injection in 90 minutes, stole the admin api key, then did the exact, same thing to the linux kernel

Ford government bans all high school valedictorian speeches that include the words "bicycle", "nature", "healthcare", "education", "opinion" or "sobriety." cbc.ca/news/canada/toronto/o…

Best GitHub repos for Claude code that will 10x your next project: 1. Superpowers github.com/obra/superpowers 2. Awesome Claude Code github.com/hesreallyhim/awes… 3. GSD (Get Shit Done) github.com/gsd-build/get-shi… 4. Claude Mem github.com/thedotmack/claude… 5. UI UX Pro Max github.com/nextlevelbuilder/… 6. n8n-MCP github.com/czlonkowski/n8n-m… 7. Obsidian Skills github.com/kepano/obsidian-s… 8. LightRAG github.com/hkuds/lightrag 9. Everything Claude Code github.com/affaan-m/everythi…

Hey #Toronto، solveto.ca just got a major upgrade. Report any city issue in 30 seconds. Snap a photo, AI writes the report, it goes to 311 your councillor simultaneously. Live map. 24 categories. Ward filters. All free. No app download. No account needed. 🧵

check out the updated skill-creator. i esp like built-in support for test generation (e.g., to measure optimize tricky things like skill trigger rate). available in Claude Code as plugin, Claude.ai, Cowork.

Meredith Whittaker says AI agents make encryption irrelevant. To be useful digital employees, they need system-level access to your messages, browser, files, and clicks. That collapses the blood-brain barrier between applications and the operating system. “Our encryption no longer matters.”

The company that created Claude Code and Claude Cowork must have obviously built their own HR solution from scratch with these tools, right? No: they use Workday. Understand why this is, and you'll understand why enterprise SaaS could be doing better than ever, thanks to AI

Ares opening scene with the music is 100% pure TRON. What a vibe!

why did they get rid of this

This is my all-time favourite quote (from #StarTrekVOY's "Innocence") from any #StarTrek episode or film. Happy #StarTrekDay to you all! :-)

The shopping network keynote is a wild choice and then to add Jimmy Fallon on top is so bizarre. I couldn’t watch the super cut, so awkward.

Genie-3 just achieved what AAA game engines do - but WITHOUT any 3D models. Interactive REAL-TIME video generation @ 24 fps Wild how this model figured out complex effects like exposure shifts, volumetric god rays, and phenomena we need to code explicitly in 3D engines TL;DR 🧵