electronic Max

because larger ai models run locally on macs thanks to the unified memory architecture - eg. @ollama but people in tech also run linux. unix is just more dev-friendly than windows.

I like to say that Apple has had a long standing fear of universal turing machines.

No, it is not true. Apple is rejecting apps that let you vibe code _in_ them, due to a long standing policy tha tthey can't check or certify the security of the code to be executed, since the code is loaded in/generated at runtime

the future of human-AI interaction

@Rchards i have become a quantum waveform of a man, simultaneously co-existing in SF, London, and Oxford

@emax I think they are trying to incite you to visit

these sf-maxxing, london-maxxing, oxford-maxxing trends - very flattered that they're all named after me, but it's getting a bit much 😅

Hope these are coming soon GWR from Oxford <-> London and Caltrain SF <-> San Jose 🚝

@emax Don’t forget Claude Max

these Anti-AI protest marches add to the surreal living-in-the-future feeling of SF.

Web 1.0 came with new channels: - email, search, link sharing, etc Web 2.0 too: - feeds, creators, viral invites, etc Mobile: - app stores, SMS invites, vertical vid, mobile ads What about AI? I’ve been complaining that AI hasn’t come with much. But we’re seeing a big growth channel opening now: Products that are built as APIs/CLIs that can be pulled into new projects by Codex/Claude on the fly Maybe the “AI-native hotel app” doesn’t mean a mobile booking app with an AI chat panel. It means a CLI that can book a hotel for you, that an AI agent can pull into a bespoke answer or project or into code. Bolting on an AI chat panel is this generation’s weak form of AI. Maybe the full reinvention involves making it agent-first not human-first and once you start looking at it that way, a lot of existing products suddenly feel mis-specified. they’re built as destinations, but agents don’t want destinations. they want capabilities. composable, callable, reliable capabilities. So instead of “go to Expedia” or “open the app,” the future interaction is more like: an agent assembles a workflow on the fly. it pulls a flight search tool, a hotel booking tool, maybe a weather model, maybe even your personal preference graph. none of these are full products in the traditional sense. they’re more like endpoints with taste and state. This flips distribution completely. historically you win by owning the surface area. seo, app store ranking, homepage traffic. in an agent world, you win by being the default callable primitive. the thing that shows up again and again in agent-generated plans because it works, has clean interfaces, and returns structured outputs. distribution shifts from “top of funnel” to “top of call stack.” And the crazy part is this might actually compress product surface area dramatically. the best products might look more like tight, extremely well-designed CLIs with opinionated defaults rather than sprawling UIs. almost like the stripe api moment, but for everything. imagine if every vertical had a “stripe-level” primitive that agents preferentially use. there’s also a weird inversion of brand here. humans used to choose brands. now agents will. so the brand becomes partially machine-legible. reliability, latency, error rates, schema clarity. you can almost imagine “agent seo” where the ranking factors are things like success rate across thousands of agent runs, or how easy your tool is to integrate in a chain-of-thought execution loop. This also suggests a new kind of moat. not just data or network effects, but integration depth with agent ecosystems. if claude or codex or openclaw learns that your tool is the safest way to accomplish X, it gets baked into prompts, templates, maybe even fine-tunes. you become a default. and defaults, historically, are insanely sticky. The contrarian take is that most current “AI features” are a local maximum. chat panels, copilots, assistants. they’re transitional. the real end state might look closer to invisible infrastructure that agents orchestrate. the ui is just a debug layer for humans to peek into what the agents are doing. so maybe the new growth channels for ai look like: - being callable - being composable - being reliable at scale in agent loops - being embedded in agent templates and workflows - being the default primitive in a given domain and if that’s right, then the question for any new product isn’t “what’s the ui” or even “what’s the killer feature.” it’s “what’s the minimal, highest-leverage capability we can expose such that agents will repeatedly choose us when building something new.”

the bridge is already impressive, and this makes it fabulous

We have too many VCs and not enough ACs

maybe pressure will cause @cursor_ai to start to release (open source) their own fine-tuned FOSS models? giving back to the open ecosystem - etc. that'd be a hallmark of a great company

San Francisco making history today First time on record we’ve ever had four consecutive days of highs 84°+ in Winter All year we average only seven 84°+ days Temperature records go back to 1874

instant londonification

claude was iffy for 12 hours yesterday, and now down again @claudeai r u okay this is really starting to annoy me

not so sure -- jensen huang just announced monday at GTC that the new vera rubin architectures produce 50x higher volume for "claude max" tier customers, and 15x cost reductions for "extreme ultra" customers. so that's good for anthropic

what do you do to pass the time whilst all 18 of your claude agents are busy at work?

I like DLSS 5 but I'm ngl the demos do look like this sometimes