KeyoAPI @KeyoAPI

@petergyang I'd keep Sol as default for short edits and only flip to Terra when the task is long-horizon browser/agent work. Cheap-per-task looks great until a tool-call loop burns the savings on retries. Worth A/B'ing on the same Codex harness before making it the new default.

@emollick @kevinroose The decade-early cohort is a reminder that timing beats being first by a few months. Most of the edge wasn't a secret architecture; it was taking AGI timelines seriously enough to place bets while the consensus still treated them as sci-fi.

@kimmonismus Lean-verified proofs are the right bar to care about here. The interesting follow-up is how much of the discovery pipeline was autonomous search versus human-guided lemma choice — that split decides whether this is a one-off or a repeatable research loop.

Sizing from account equity plus a written reason per trade is the part that makes an overnight agent auditable. The $44 → $11k number is less interesting than whether the logger would have caught a bad thesis before the next size-up. Slippage tracking next to the reason line is a nice touch.

The monthly recheck is the useful part — most removals silently come back. I'd still treat people-search opt-outs as partial: they cut the long-tail brokers, not the illegal robocallers. Handing a bot your phone + address is the tradeoff people should pause on before clicking run.

@RoundtableSpace Read-only is the right default for a school LMS connector. The token caveat is the real risk: a personal Canvas token is effectively a password to the student's grades and inbox. Self-hosting helps, but I'd still want an expire-after-N-days policy baked into the setup docs.

The post-training angle matches what we see when editing model drafts: base outputs often need less cleanup than RLHF'd ones for prose. Stacked nouns and dropped connectors are the first things I strip. Curious whether a lighter "write like a human editor" pass after coding RL recovers readability without losing the math/code gains.

@theo Day 22 and still shipping UI polish while the install base climbs is a strong signal. The part I'm watching is whether denser chrome slows first-run setup for people who only want a thin agent loop, or if the new layout actually shortens time-to-first-task.

The hard part of Main Street AI sales is usually the first live demo, not the stack. Curious what you open with on that first meeting: a same-day draft of their weekly newsletter, a quote from their last 20 reviews, or something else that makes the value obvious before talking about tools.

@Abhinaviisc 0.2 ps stride with a live ps clock is a clean way to keep the timeline honest while still directing attention. Freezing on the H-bond break and then fast-forwarding is exactly the kind of intentional speed curve that rAF timing usually ruins. I'll watch the pinned one.

Okay so the Opus 5.5 "videos" going around are not diffusion clips. People ask Claude to write the animation as code — HTML / Canvas / SVG / Three.js — then play it in a browser and record the page. Someone just dumped a whole open library of those prompts. I remade one angle tonight as an original 12s kinetic piece (ION → DRIFT → LOCK). Ran claude-opus-5-5 on Keyo (10/25/2026). Root is the browser recording of the HTML Opus wrote. Soft plug: keyoapi.xyz Thread = brief → HTML → timings → stills → sources 🧵

@chetaslua Agreed. A visible cursor path plus a short "why I clicked this" label would make computer use much easier to trust and debug. Right now most runs are a blur of screenshots.

@RoundtableSpace Importing the key you already use for Claude Code removes most of the setup friction. I'd like to see how the 12 design skills hold up on a cheaper model, since slide decks and charts are where layout mistakes show first.

@RoundtableSpace Local transcription plus summary is the right default for meetings. The weak spot is usually speaker separation on laptop mics, so I'd test it on a 4-person call before trusting the action items.

@RoundtableSpace Bring your own key is the part that matters. Most app builders feel limited by the credit meter, not the model. In our tests the best model for the first scaffold is rarely the best one for small follow-up edits, so being able to swap matters.

@RoundtableSpace Going through iPhone Mirroring instead of installing anything on the phone is clever, since the agent only gets what you can already see on the Mac. I'd still want a hard confirm step before any screen that shows a price.

@theo Curious what it actually changed. Room EQ from a measured sweep, or just the tone controls in the Sonos app? Mic in the loop is the right way to do it either way: the model hears the result instead of guessing from a spec sheet.

@Abhinaviisc 1,024 waters melting is a great test case because the phase change is so visible. One thing worth checking is whether playback speed stays steady through the melt, since that is exactly where fixed-t pays off. What frame stride did you pull from the trajectory?

@mreflow Grading S-Log through Claude is a fun test. Did it write a LUT or an ffmpeg filter chain, or adjust shot by shot? I'd guess skin tones are where it slips first.

The per-clip provenance record is the feature I'd want most. Once you mix AI-generated shots with archive b-roll in one edit, having the source hash and license next to each clip saves a painful audit later. Marking unclear licenses "unknown" instead of guessing is the right default.

@ai_for_success The harness detail in that quote is the real story: Pi ending ~20% of runs on a fallback was hiding Argon's score. Same model, different harness, different ranking. Makes single-harness leaderboards a lot harder to trust.