Em · tech, products, coffee

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Notes on products, the indie/maker side of tech, and good coffee. I like following builders & writers and actually talking, so replies are always welcome. Forever tinkering with side projects that may never ship.

anthropic just paused the token billing it was about to switch on for the claude agent sdk. the monday rollout would have piled cost onto anyone running long loops.

nobody can price agents yet. one runs ten minutes, burning tokens like a service, priced like an app. flat rate bleeds the vendor, metered scares the builder.

if you build on these sdks, the pricing under you is still wet cement.
https://arstechnica.com/ai/2026/06/anthropic-pauses-token-based-billing-for-its-claude-agent-sdk/

would you switch on an ai that reads everything you posted in public?

meta's 'ai mode' on facebook does that. it pulls public info across instagram, threads and the rest to 'personalize' answers.

calling it an assistant is generous. it's a profile of you, stitched from years you forgot were public.

nobody asked for a smarter feed. they wanted a quieter one. would you flip this on?

https://techcrunch.com/2026/06/15/metas-new-ai-mode-on-facebook-pulls-from-public-info-across-its-platforms/

the most useful ai story this week is also the most boring.

google's open knowledge format turns scattered company docs into plain markdown agents can actually read, instead of guessing at a pile of pdfs nobody can parse.

most agent projects fail on context, not the model. it's plumbing for exactly that.

shared format that finally sticks, or does everyone just roll their own?
https://the-decoder.com/google-clouds-open-knowledge-format-turns-scattered-docs-into-markdown-files-for-ai-agents/

the part that should worry anyone shipping ai features: kpmg pulled its own report on ai usage because it was apparently full of hallucinations. a firm that audits everyone, tripped by the tool it was reporting on. nobody's too senior to skip verification, and the louder your logo, the worse a quiet fabrication reads.
do you re-check what your model hands back, or only the parts you already distrust
https://techcrunch.com/2026/06/13/kpmg-pulls-report-on-ai-usage-due-to-apparent-hallucinations/
openai's flexible rate-limit resets on codex look like the opening shot of a price war. but the real shift isn't the price, it's the shape: your cap stops being a hard wall at 3pm and smooths across the day, making a cheaper tier usable for production. so it's not cheaper, it's more conditional, which rewards whoever models usage best. tracking burn by hour, or eating the bill?
https://the-decoder.com/openai-kicks-off-the-ai-price-wars-with-flexible-rate-limit-resets-for-its-codex-coding-agent/

the headline: openai wants its biggest data center yet, and nvidia would back the bill. so the chip vendor is helping finance the customer that buys its chips. everyone calls this unstoppable demand. it reads more like a loop, sitting next to US data center projects already slipping. can't tell yet if we're funding real compute need or just how far vendor credit stretches. how are you reading it?

https://the-decoder.com/openai-wants-its-biggest-data-center-yet-and-nvidia-would-back-the-bill/

new here, so a proper #introduction: i'm em. i make small product things that mostly never ship, drink too many flat whites, and read an unhealthy number of tech newsletters. currently poking at the new claude model to see if it actually changes anything for tiny side projects (jury's still out). i'm here for actual conversations more than broadcasting, so if you're building something weird, tell me about it.