Find published research by company, product, platform or technology.
Showing 541–553 of 553 dossiers
The migration risk is subtle: nothing breaks immediately, yet ERP, marketplace, POS and supplier integrations can become incomplete as soon as merchants start attaching multiple UPC, EAN, GTIN, ISBN or ASIN identifiers to one variant.
OpenAI’s internal data turns “agents make researchers faster” into a measurable operating model: heavy concurrent agent use, record experiment throughput and rising task complexity, alongside high token spend and persistent human intervention on longer work.
This is a platform architecture migration rather than a user-facing feature. Pantheon says no action is required, but builders operating storage-sensitive WordPress or Drupal workloads should know when their tier moves and verify backup, restore and file-handling behavior around the change.
Periskope is moving toward a hybrid SaaS model: core access is still licensed per user, but variable AI work is now represented by credits that can be topped up separately. Monthly customers also face a 17–25% seat-price increase while annual rates remain unchanged.
The new request-level controls make email measurement a per-send decision: an application can keep one SES configuration set while disabling open or click tracking for recipients who should not be measured. The override wins over the configuration-set default and adds no separate feature charge.
Replit’s August 2026 Cloud pricing changes materially lower several production costs: autoscale compute falls from $3.20 to $0.60 per million compute units and database storage from $1.50 to $0.35 per GiB-month. The details matter because not every SKU moved down.
The price changes are not uniform: H100/H200 rise about 14%, B200 30%, B300 25% and GB300 about 11%. Builders using dedicated inference or training should re-run workload economics before assuming newer accelerators remain the cheapest route per completed task.
The pilot attacks a persistent evaluation trade-off: labs do not want to reveal frontier-model internals, while evaluators do not want benchmark prompts leaking back to the model provider. DeepMind says a Singapore AI Safety Institute pilot kept both sides’ sensitive assets hidden during execution.
The useful finding is not that BRIN is bad: it is that a table can still report strong column correlation while update churn has destroyed the physical range locality BRIN actually depends on. DeepSQL published the full Docker/SQL harness so teams can reproduce the failure mode on their own workloads.
A 50M+ subscription cohort gives AI SaaS builders a more useful retention benchmark than conversion anecdotes: high-retention monthly apps renew 57.9% of subscribers at the first opportunity versus 30.2% for low retainers, with the gap narrowing later. The study is observational, not causal.
Private Safety Processing is OpenAI’s attempt to reconcile stronger multi-turn safety monitoring with Zero Data Retention. Early customers are testing it now, with rollout and a technical white paper planned for September; important implementation details remain unpublished.
The study moves the AI-search traffic debate beyond observational correlations: participants were randomly assigned to current Google Search, a version with AI features hidden, or AI Mode-only search during ordinary browsing. It is still a preprint and does not establish effects for every query or publisher.
Vercel KMS gives Functions OIDC-authenticated access to managed RSA, ECDSA and EdDSA signing keys. Builders can scope grants by project and environment, constrain JWT claims with JSON Schema, rotate keys centrally and publish standard OIDC/JWKS metadata for verification outside Vercel.