Yilio @yiliush
building @collabs_inc formerly @olafureliasson dropout @harvardgsd yiliu.sh nyc Joined April 2012-
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Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.
i like beautiful things so here are some cool sites i've explored lately: are.na/editorial - essays visualjournal.it - visual blog inventorypress.com - books spiral.soot.com - visual search cosmos.so - visual inspiration site fockups.com - photoshop mockups sternberg-press.com - publishing house onomatopee.net - books and magazines
PSA: the Collaborator repo is now at github.com/collabs-inc/co…. Update your bookmarks; more news to follow!
completely switched from IDE --> collaborator gem by @yiliush github.com/collaborator-a…
Way too many people use the word ‘agent’ as if it has an established and stable definition. The definition these folks have in mind diverges in fundamental ways from how actual agentic systems work, and can work.
The steady-state for token pricing will be: expiring credits for everything, with discounts for volume and prepayment and off-peak usage. The sooner you accept and internalize this the happier you will be 🪷
Just your regularly-schedule PSA that @CollaboratorAI will not—cannot—be affected by this change because you use Claude Code within real terminals on the canvas.
Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage. The credit covers usage of: - Claude Agent SDK - claude -p - Claude Code GitHub Actions - Third-party apps built on the Agent SDK
Agents are self-assembling chains of context that are incidentally capable of accomplishing goals we find desirable.
This is very very interesting 👀 @timourxyz @serensandikci @hyperseref open.substack.com/pub/edgeesmera…
a16z @speedrun request for startups: GUIs for Agents we’re still in the MS-DOS era of agents today - CLI, terminal sessions, file directories deleted by openclaw etc. while a small slice of silicon valley are power users, we're SO early for the rest of the world at Speedrun, we’re looking for bold founders excited to bring the power of agents to normies everywhere. there's a whole slew of products to be built here - from agent builders to marketplaces to managed infrastructure one broad idea we’re excited about are visual abstraction layers for agents. if you don't know exactly what you want, a command line / chat interface is paralyzing - you need to see options 1 example - think of a GUI or visual command center inspired by strategy games (ex. Factorio) where agents and workflows are represented graphically. skills, tools, MCP connections, background processes, etc could all be configured and shown visually in a workspace on UX, strategy games have long perfected agent management. zoom to get a birds-eye view of your agents, batch and queue orders via shortcuts, assign agents in multiplayer etc. a well-designed agent command center would make multi-agent orchestration for normies feel easy & intuitive most folks today still haven't moved beyond ChatGPT. the potential is enormous - just as Windows unlocked mass-market use of personal computers, the right visual abstraction layer could unlock agentic work for everyone - from individuals to enterprise teams if you share our vision, we'd love to chat!
[New] from a16z @speedrun: Come for the Agent, Stay for the Network there's a quiet pattern hiding inside the most defensible vertical AI startups right now: the agent is the wedge the network is the moat. here's what I mean: an HVAC tech needs a part today. >>Traditionally: hours to investigate, 5 calls, emailing for quotes, waiting days, and comparing PDF catalogues by hand >>Now: an AI procurement agent identifies the exact SKU, autonomously contacts suppliers, negotiates price, and orders - in minutes but - the network forming is the real differentiator: when that agent is operating across thousands of buyers, the system starts seeing real transaction prices - not list prices > It can tell you you're paying 18% above market > It can bundle demand across forty facilities and negotiate bulk pricing = Suppliers start competing to be plugged into the agentic network these AI procurement agents can become networked, sticky platforms when an industry has some combo of: + Fragmented supply and demand + Offline suppliers + Opaque yet elastic pricing + Frequent purchases + Different SKUs; or + a commoditized product or services in the past, suppliers thrived off of the offline nature of these markets with an agentic platform, the demand side can be aggregated and the power balance flipped you can start to become the interface buyers default to, the channel suppliers need to be on, and the owner of the richest pricing dataset in the industry by unlocking an efficient marketplace, you can charge on a % of revenue basis vs token or seat basis. we’re seeing this trend emerge across several SR006 @speedrun companies including Heavi for truck repair shops and Vereda for farmers few examples of industries ripe for AI procurement agents include: -- Freight and logistics -- Agricultural inputs -- Field services -- Food service procurement -- Construction subcontracting -- Industrial MRO -- Healthcare staffing -- And more if this sounds like something you're interested in, apply to speedrun now
This looks awesome
@caidanwilliams No worries I’m just joshing! Keep up the good work
Dude the flattery is sincere but you coulda picked a different background @caidanwilliams I forgive you though cuz the thing looks cool
"If what you're working on, which has something to do with empowering users or making computers and software and the internet freer and more capable for enhancing human life, then you should submit a talk." @_adamwiggins_
@paakjong yes* *uses Mistral Large 3 for k-graph extraction
before collaborator i built out this whole agentic knowledge base app with an entire source docs → knowledge graph → mcp pipeline... and just never released it. you guys want me to release it?
LLM Knowledge Bases Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating
@max_kelly @CollaboratorAI Interesting. Any examples you can share?
Pre-release of @CollaboratorAI v0.7.0 (mac) is live. A ton of fixes and new features, plus I revamped the design to better express that terminals are quickenings in the computing substrate under your fingers. Gonna call this visual language BAUHAUS. github.com/collaborator-a…
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Graham 🔜 toorcamp ... @grahammackie
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36K Followers 5K Following Co-founded June (“self-driving oven,” acquired by @webergrills) & co that became @Lyft. Building again, more soon. OS: @slashlast30days 47k★ @ppressdev 5.4k★
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localhost HQ @localhosthq
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Fundamental Research ... @Fundamental
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