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Ireland's DPC fines Google €403 million over GDPR location-data violations

Ireland's Data Protection Commission, acting for the EU, fined Google €403 million (about $462 million) for mishandling location history and web/app activity data. The regulator found Google failed to be transparent about Location Accuracy on Android and unlawfully retained users' location data longer than necessary.

Ireland's DPC fines Google €403 million over location data practices

Ireland's Data Protection Commission concluded a five-year inquiry into how Google Ireland handled location data across Web & App Activity, Location History and Location Accuracy features between 2018 and 2020. The regulator found multiple GDPR violations spanning lawfulness, transparency, accountability and data retention, and has fined the company €403 million while giving it six months to fix its practices.

Google Fined $462 Million Over Location Data Collection Practices

Regulators concluded that Google mishandled location tracking, gathering and storing data that could expose sensitive personal details about users without adequate safeguards. As a result, the company has been fined $462 million.

Startup fine-tunes 4B open-weights model to beat Postgres's own query planner

An independent researcher used supervised fine-tuning and agentic reinforcement learning to train a small 4B-parameter open-weights language model to generate PostgreSQL execution plans. On a set of 113 join-heavy queries, the tuned model cut latency by 44.7% on average compared to Postgres's default planner, even though the base model initially failed to produce valid plans for 99 of those queries. The project also involved building a custom measurement rig to reduce caching noise and a modified GRPO reinforcement learning method for scoring plans in a noisy environment.

OpenAI cuts price of GPT-5.6-Sol model through November 21

OpenAI is temporarily lowering the price of its GPT-5.6-Sol model, with the discount running until at least November 21. Separately, the company is phasing out its fine-tuning platform, closing it to new users while letting existing customers keep submitting training jobs for a limited time. Models already fine-tuned will still work for inference until their underlying base models are retired.