Man Builds Automated Sam Altman Annoyance Machine, Begs Internet Not to Abuse It
THE SO WHAT
A one-off "annoyance machine" is a trivial use case — but it underlines how easy it is to weaponize automation against individuals. If you operate public-facing APIs or messaging surfaces, rate limits and abuse detection for targeted harassment are now table stakes.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIPartnering with Edelbyte: Data Infrastructure That Keeps Up With AI's Curiosity
If agents are going to hammer your internal systems with orders of magnitude more queries than humans ever did, the real constraint becomes data infra cost and latency, not model quality. Teams building agents should be budgeting for a new class of OLAP-style infra like Edelbyte’s, not assuming the existing warehouse can take the load.
Applied AIMediums new app tries to save the platform from irrelevance
Medium fusing AI writing help with private draft-sharing groups is a bet that creators want workflow and audience in one place, not another standalone AI tool. If you build for writers or knowledge workers, distribution and community are becoming as important as model quality.
Applied AIApple is now offering additional AI access via one-time $50 "intelligence usage packs" when monthly usage caps are met, starting in its Creator Studio apps
Apple putting a $50 price tag on overage “intelligence usage packs” makes AI a metered utility inside creative tools, not a free feature. If you build on Apple’s ecosystem, assume users will be cost-sensitive about heavy AI workflows and design around bursty, high-value use rather than constant background inference.
Applied AIByteDance’s Seedream 5.5 can edit one image 100 times without breaking it
If Seedream 5.5 really maintains image integrity over 100 edit rounds, the bottleneck in design workflows shifts from artifact quality to human iteration speed. Creative teams should start mapping where persistent, non-destructive AI editing can replace manual versioning and asset recreation.