Thought #24 - Trust, Tension, and Too Many Releases

Open source launches, workplace rollouts, and a reminder to check what you're sharing

Hi lovely humans,

I did jinx myself by calling last week a slow one. Everyone’s clearly back from holidays and dropping new their releases on a random Tuesday (yesterday).

Some big ones too - OpenAI has released open source models, Anthropic has launched Claude Opus 4.1, and Google’s put out a few impressive tools of their own.

The rivalry between OpenAI and Anthropic also seems to have escalated, with Anthropic banning OpenAI devs from using Claude to build GPT-5.

Elsewhere, there are plenty of job market updates, plus some genuinely interesting use cases from companies and government - including a few that are saving serious money.

There were 35 news stories we included this week (not an all-time high, but definitely up there. Suggesting the current AI wave is far from slowing down.)

Our Week in AI

A Reminder About Trust

My LinkedIn was flooded earlier in the week about shared ChatGPT conversations being searchable on Google.

(if you specifically searched for https://chatgpt.com/share,”, some chats were founds)

Rage and panic were the response from many as personal conversations were found.

Now I’m really for data privacy - but I’m actually on OpenAI’s side in this one.

It was very clear that there was no privacy settings for sharing these (like in Google or Microsoft where you restrict to specific people, or make the doc viewable to anyone with a link).

OpenAI also stated that shared chats may be discoverable before you clicked the link.

I searched my own shared chats - 4 total. Only 2 were in the indexing, and these were the ones I’ve linked publicly on my blogs.

Just a little reminder to always read what the company is telling you, and not just assume it works as expected.

AI New Releases

As the majority of these were released yesterday or this morning, we have not yet had time to play around (updates next week):

OpenAI

Anthropic

Google

Others

AI News

Not Quite News, But Worth a Read (or Listen or Watch)

LinkedIn AI Poll

We wanted to know what people thought “training models with your data” meant. And we’re pleased to say most people understood it doesn’t mean your chat will end up as data for other people’s chat.

An interesting one as 20% of people thought others might see there data or had no idea - suggesting a real need for clearer data privacy policies

Vote in this week’s poll - please!

This week we want to know if data privacy concerns impacts how you use AI tools.

Final Thoughts

As always we hope this was helpful!

Feel free to share this with anyone who might find it useful.

Next week, we will have actually used some of the new tools and will have some opinions. Praying for a less newsworthy week.

Laura
Always learning