Kaif

the moment we split one MVP across claude code, codex and cursor, it broke. not the models. the context. > one agent + a CLAUDE md = fine > stack + a "never do this" list, read before every task > split the work and half the agents never see the spec the spec lives in one agen

the most awkward second in tech right now: the pause after you talk to an ai on the phone. > you stop talking > it transcribes you > it thinks (~800ms on a typical llm) > it finds its voice > then it answers humans reply in a beat. that gap is why every ai call still feels like

an AI trained in 1789 would have flagged the French Revolution as unsafe we celebrate it now. so who decides which thoughts are allowed today ? right now, a handful of companies do distribute cognition today betting the other way: intelligence as a network of specialized model

i barely write code by hand anymore. i direct agents and review what they ship growth teams are getting that same moment now, and @nectarsocialai is built for it: > agents watch every video, comment and DM about your brand, even the posts that never tag you > they find the crea

running a design agency in 2026: client: "can you make the logo a little bigger?" image model: redraws the whole thing. new logo, new font, slightly different product Vyb by @cocoailabs builds every piece on its own layer from your real files. so you just make the logo bigger

your agent isn’t waiting on compute. it’s waiting on memory. my last coding task made 116 model calls. that adds up fast. gpus for prefill, @positron_ai memore-first chips for decode, one endpoint via @general_compute. atlas today, titan next, live q1 2027

an orange box, two pixel eyes and a line for a mouth that's the whole face, a Voxel by @roboticscorp has more personality than most apps i've designed that's what happens when a robotics team brings in Pixar advisors

LLMs draw. world models build. Opus 5.5 built me 1km of tokyo in Blender. none of its 2,797 cars could be built in real life SKY-001 by @skyfallai, first engineering world model, vs GPT-6 Astra: > 1.2s vs 144s > $0.002 vs $0.45 > more accurate by the team that sold Maluuba to