02ACT
Regulation And RiskEuropean Commission20 Jul
The EU AI Act makes disclosure a product decision
The European Commission published Article 50 guidance ahead of the 2 August 2026 application date. Covered providers must tell people when they are directly interacting with AI and add machine-readable marks to certain generated or manipulated content. Deployers have separate duties for deepfakes, public-interest content without human review, emotion recognition and biometric categorisation.
Decision affectedMap each covered experience to the disclosure, marking and evidence it needs, then test whether users can understand it at the moment it matters.
My readA badge in the footer will not rescue a journey that hides what the system did. The disclosure belongs beside the decision it can change.
03DISCUSS
Model EconomicsOpenAI30 Jul
An 80% price cut can invalidate a model-routing decision
On 30 July, OpenAI cut GPT-5.6 Luna pricing by 80% and Terra pricing by 20%. Current API pricing is $1 input and $6 output per million tokens for Luna, $2.50 and $15 for Terra, and $5 and $30 for Sol.
Decision affectedRe-run task-level quality, latency and cost evaluations for routes where Terra or Luna were previously uneconomic.
My readDo not switch on price alone. But if a change can move your margins this much, model choice should be a routing policy with scheduled re-evaluation, not a permanent architecture decision.
04DISCUSS
Trust And UxLinear23 Jul
Linear is putting agent authorship and rollback into the interface
Linear added author indicators for text written by colleagues or loops. Changes made through Linear Agent are highlighted separately, and users can restore an earlier checkpoint from version history.
Decision affectedDecide where agent authorship appears, how users inspect a change and what rollback unit the product preserves.
My readHuman review becomes real when the interface exposes provenance and reversal. A policy document cannot do that work for the user.
05DISCUSS
Ai StrategyarXiv26 Jul
eROI splits AI bets into value, likelihood and investment
A new preprint proposes eROI, which rates Value if Successful, Likelihood of Success and Investment Required separately instead of forcing one precise ROI estimate. The authors illustrate it with AI product decisions from Compass.
Decision affectedScore candidate AI bets across those three dimensions before ranking them, and keep the ratings coarse enough to expose disagreement.
My readThe useful part is the separation. Keep the formula loose. A precise number built on uncertain inputs is still guesswork.