OpenAI is calling it the start of the AGI era. I read past the headline, the benchmarks, and the fine print on pricing and rollout, here’s what it really means for your roadmap, stack, and budget.
Totally fair concern, Jose! I think it's a massive friction point for actual adoption because relying on workarounds like taking over input devices or forcing dedicated hardware for local agents misses the mark somwhoe.
That 0% authorization exceedance number is the most interesting data point here, and also the most misleading for planning purposes. Benchmarks measure single-task boundary compliance. In production, the failure mode that actually burns you is compound: an agent stays perfectly within scope on each individual step but drifts across a multi-session workflow because context carries forward wrong assumptions as facts. After a year running autonomous agents on real infrastructure, one pattern is consistent: when a failure persists through three rounds of prompt fixes, the fix has to be enforced architecturally, not instructionally. Your checklist's "one approval gate" is the right instinct, but the gate needs to fire between sessions, not just within them.
I love your instincts about this! And how simple you stated so basically: if you have to fix a misbehaving agent three times with prompt tweaks, your prompt isn't the problem. The system architecture is missing a hard stop between sessions.
the input-device workaround feels like the real adoption tax here—if agents need to seize the cursor, the bottleneck isnt model intelligence but who gets control of the machine. multi-computer setups might be a bridge, but they’re not a product strategy.
I don’t know what to think about Astra.
Taking control of input devices doesn’t sound okay… it is kind of a workaround.
We will have to buy multiple computers to run multiple processes?
Totally fair concern, Jose! I think it's a massive friction point for actual adoption because relying on workarounds like taking over input devices or forcing dedicated hardware for local agents misses the mark somwhoe.
We’ll see!
I agree, especially with all this talk about mind viruses and j-space found in anthropic models.
What effect do we see this having on employment?
That employment angle is the part nobody wants to talk about. You gave me an idea for next week's post!
That 0% authorization exceedance number is the most interesting data point here, and also the most misleading for planning purposes. Benchmarks measure single-task boundary compliance. In production, the failure mode that actually burns you is compound: an agent stays perfectly within scope on each individual step but drifts across a multi-session workflow because context carries forward wrong assumptions as facts. After a year running autonomous agents on real infrastructure, one pattern is consistent: when a failure persists through three rounds of prompt fixes, the fix has to be enforced architecturally, not instructionally. Your checklist's "one approval gate" is the right instinct, but the gate needs to fire between sessions, not just within them.
I love your instincts about this! And how simple you stated so basically: if you have to fix a misbehaving agent three times with prompt tweaks, your prompt isn't the problem. The system architecture is missing a hard stop between sessions.
Thanks much for this addition!
the input-device workaround feels like the real adoption tax here—if agents need to seize the cursor, the bottleneck isnt model intelligence but who gets control of the machine. multi-computer setups might be a bridge, but they’re not a product strategy.