… A leak that makes headlines will do more to inform users about their data than any terms page ever will. Anthropic's data retention ranges anywhere from 30 days to seven years. …
… Your data isn't your data anymore Microsoft already blocked it internally Anthropic's invisible downgrade got a lot of the attention, but the data-retention policy was just as important for many organizations. …
… On top of that, 16 of the 18 models come from Chinese AI companies, which matters for some companies' data policies. Grok 4.5 and GPT 5.6 Luna, the two US exceptions, have 30-day data retention instead of the zero-retention policy that applies to most of the Chinese models. …
… This active engagement has been shown to dramatically improve retention compared to passively reading static pages. Not quite. The answer is that interactive visuals allow real-time dynamic manipulation of data and concepts. …
… When you give Google's AI access to all this data, the model hits a performance wall, and you'll see hallucinations skyrocket as the AI tries to fill the internal context gaps with poorly inferred web access. …
… I’ve also set the retention policy to six months on my remote server, so I have the option to recover old data if things go catastrophically wrong in recent snapshots. …
… A monthly snapshot is kept for an entire year, which provides me with good access to various points in time. A Home Assistant installation is fairly fluid with different integrations, devices, and software all communicating and sharing data with one another. …
… It’s a really powerful tool for data hoarders like yours truly, and it gets even better when paired with Jellyfin. …
… Duplicates, old files, and other data that simply didn't need to reside on the NAS quickly piled up. It's a little ironic in that I invested time and money to launch a system to make all my data more accessible, and yet it turned out to be the least efficient means to store everything. …
… While this was accessible to well-resourced institutions, it was unavailable, largely, to everyone else. …