Topic

#privacy

10 articles tagged privacy. Browse the full set below, or see all topics.

Tagged "privacy"

Cross-cutting reads on this topic

10 articles
Google is testing ads in AI Mode for people who connect Gmail and Photos, reversing its ad-free stance. What its help page says, what is excluded, what to do.
#google-ai-mode#google-ads+5 more
2026-10-18
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Customer Match lists can now carry an unhashed IP address and interaction time. The rules, the regions excluded, and who gains from adding the columns.
#Google Ads#Customer Match+3 more
2026-09-26
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Test whether a local AI workflow depends on cloud models, search, embeddings or downloads, and record what works offline without overstating privacy guarantees.
#Local AI#Privacy+1 more
2026-09-13
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Perplexity's Hybrid Compute splits a task: planning and search in the cloud, private files and sensitive steps on a 24 GB Apple silicon Mac, using no credits.
#perplexity#on-device-ai+4 more
2026-09-01
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Seventeen coding agents, six questions each, vendor documentation only. What the published terms say on retention and training, and which cells stayed open.
#coding-agents#data-retention+5 more
2026-08-17
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SpaceXAI open-sourced Grok Build's Rust harness under Apache 2.0 days after a privacy scandal. Why a public repo is not the same as a security audit.
#AI Development#Grok Build+5 more
2026-07-16
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Meta is retiring the off-Meta-activity opt-out, rolling out US-first in July 2026. The replacement limits data use, not collection. What advertisers expect.
#meta-ads#off-platform-data+5 more
2026-07-05
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A clean room matches and measures with partners without sharing raw PII. Why most mid-market brands don't need one below ~$1M media spend, and when they do.
#data-clean-rooms#advertising+6 more
2026-06-09
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LM Studio 0.4.16 ships the Locally iPhone app plus LM Link, bridging your desktop models to mobile over an encrypted Tailscale mesh with no cloud relay.
#lm-studio#lm-link+6 more
2026-06-05
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A decision guide for when to generate synthetic training and eval data versus collecting real data: distillation, bootstrapping, and model-collapse risk.
#synthetic-data#llm-training+6 more
2026-05-26
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