It didn't happen to me, nobody I know seems to have experienced this. How can you prove to us that you ever toggled it off in the first place? This is a pretty serious accusation to make so blindly
Not an accusation! Just seems like it's happening, which is why I wanted to post this to ask if others noticed the same thing. I definitely can't prove it. If it had just been me I would have assumed I forgot to turn it off. But the fact that my coworkers noticed the same thing made it suspicious. Also the linked HN thread suggested others have seen this happening too
Fwiw I've had this happen with Mistral, I fell right in the middle of them changing from opt-in to opt-out AND removing their org-wide dial (on the Teams plan). They reversed that last decision (the org-wide dial returned) about 48 hours later, but in the process they turned all sliders for all my staff back to "on". Not sure if it was all malicious (I think not, just a very crappy move that hit our trust in them pretty bad). After some emails they ensured me they stored no data for training. But strange things happen.
Disabling "improve the model" is one thing. Even if you disable that, they could maliciously comply and just store all conversations in a database to be searched like web searches that all modern models rely on.
Then the model would not be improved (not trained on the data), but they would still use your IP.
Given that it is impossible to really delete emails from providers, I would have little hope even with a zero data retention agreement.
My personal view on this is that there are enough people who need this to not be happening or who would be very happy to catch any of the major frontier model providers fibbing about it, that needles are constantly being added to the haystack and searched for in subsequent models and requests made to them.
Proof of training or RAG search on data that was private would be a huge smoking gun and would change usage habits overnight.
This isn't exactly relevant, but something I like about T3 code is that they'll fix stuff quickly that anthropic or open ai mess up in their harnesses.
> Thank you for using Daybreak Blue and for being part of our Trusted Access program. We are reaching out to notify you of an upcoming change to how your Daybreak Trusted Access data may be used. Daybreak use requires you to enroll in Advanced Account Security, which turns off the “improve the model for everyone” setting. However, from November 29, we may use content from Daybreak Blue sessions on personal accounts to improve our models, including to help strengthen safeguards against cyber misuse. We will use Daybreak Blue interactions for these purposes, even when the “improve the model for everyone” setting is off.
Never ascribe to malice that which can be explained by stupidity.
The quality of their software is such crap and this is probably just some vibe coding mishap. Go read the Github issues for Codex CLI for example -- robots talking past other robots. I am 99.9% certain not a single human being has a deep understanding of what is going on with the Codex app anymore.
They do kind of have to eat their own dogfood (or at least pretend to publically), you do wonder if they'll be an interesting public example of choking on that dogfood at some point.
The frontier labs are entirely AI generated at this point. By entirely I mean ~100% of the code and supplementary training pipelines are AI created, with ZERO human guidance or oversight. And compare the results, look at Opus 5.5 vs the original Opus (which was human made). See the difference?
In fact, my personal prediction is that OpenAI and Anthropic will let go of all their human employees by Q1 2027.
When you think about it, it's really terrible for your training data to be sitting on your machine uningested. It ought to be centrally located. You know, for the greater good.
OpenAI is also now hiding your usage. Not accessible anymore in the menu, and /usage in the codex app now also gives a lot of stats, but the one stat you do want to know, how much limit left, is no longer there.
I'm guessing another big usage reduction is coming soon.
Mine got move out of the user menu on the lower left to just above the user menu as it's own clickable selection. The other day, I though they took the old quick view of usage away, and started going back to the settings to look. Turns out they just moved it.
May be the coding agents should build a layer when they don't leak any IP, treat them like environment variables, which must be handled deterministically.
If your company actually cared about this they would be running their own inference instead of leaving fate to a couple of checkboxes.
Agreed. Azure, GCP, and AWS have gated models that only exist in their infrastructures and can't dial out unless yous give them permissions to do so.
Don't use a models only company if you need enterprise level security and data protection.
fair enough, but I still think it's an ethical issue for the model providers to silently reenable training after people have explicitly opted out
It didn't happen to me, nobody I know seems to have experienced this. How can you prove to us that you ever toggled it off in the first place? This is a pretty serious accusation to make so blindly
Not an accusation! Just seems like it's happening, which is why I wanted to post this to ask if others noticed the same thing. I definitely can't prove it. If it had just been me I would have assumed I forgot to turn it off. But the fact that my coworkers noticed the same thing made it suspicious. Also the linked HN thread suggested others have seen this happening too
Fwiw I've had this happen with Mistral, I fell right in the middle of them changing from opt-in to opt-out AND removing their org-wide dial (on the Teams plan). They reversed that last decision (the org-wide dial returned) about 48 hours later, but in the process they turned all sliders for all my staff back to "on". Not sure if it was all malicious (I think not, just a very crappy move that hit our trust in them pretty bad). After some emails they ensured me they stored no data for training. But strange things happen.
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Disabling "improve the model" is one thing. Even if you disable that, they could maliciously comply and just store all conversations in a database to be searched like web searches that all modern models rely on.
Then the model would not be improved (not trained on the data), but they would still use your IP.
Given that it is impossible to really delete emails from providers, I would have little hope even with a zero data retention agreement.
My personal view on this is that there are enough people who need this to not be happening or who would be very happy to catch any of the major frontier model providers fibbing about it, that needles are constantly being added to the haystack and searched for in subsequent models and requests made to them.
Proof of training or RAG search on data that was private would be a huge smoking gun and would change usage habits overnight.
Or my other favorite move, the quiet new little guy in settings.
E.g. "Allow ABC to transmit, log, and track your every move? ON" Hey, when did this little guy get here!
This isn't exactly relevant, but something I like about T3 code is that they'll fix stuff quickly that anthropic or open ai mess up in their harnesses.
If you really care, sign a ZDR contract with OpenAI or use Bedrock or something.
If you *really* care, run your own inference. Everything else is just wishful thinking and/or convenience winning over self-sovereignty.
Turn on advanced account security. You should be doing this anyways (requires hardware keys). But it also locks data sharing off.
Unfortunately, they are also changing that a bit:
> Thank you for using Daybreak Blue and for being part of our Trusted Access program. We are reaching out to notify you of an upcoming change to how your Daybreak Trusted Access data may be used. Daybreak use requires you to enroll in Advanced Account Security, which turns off the “improve the model for everyone” setting. However, from November 29, we may use content from Daybreak Blue sessions on personal accounts to improve our models, including to help strengthen safeguards against cyber misuse. We will use Daybreak Blue interactions for these purposes, even when the “improve the model for everyone” setting is off.
Interesting. I am not in Daybreak so this isn't an issue for me right now, but points to one more reason to switch away from Closed AI and Anthropic.
Don't trust this company.
Never ascribe to malice that which can be explained by stupidity.
The quality of their software is such crap and this is probably just some vibe coding mishap. Go read the Github issues for Codex CLI for example -- robots talking past other robots. I am 99.9% certain not a single human being has a deep understanding of what is going on with the Codex app anymore.
Malice and stupidity reinforce each other. If you find yourself unable to determine which one is causing the issue, run.
They do kind of have to eat their own dogfood (or at least pretend to publically), you do wonder if they'll be an interesting public example of choking on that dogfood at some point.
The frontier labs are entirely AI generated at this point. By entirely I mean ~100% of the code and supplementary training pipelines are AI created, with ZERO human guidance or oversight. And compare the results, look at Opus 5.5 vs the original Opus (which was human made). See the difference?
In fact, my personal prediction is that OpenAI and Anthropic will let go of all their human employees by Q1 2027.
> 99.9% certain not a single human being has a deep understanding of what is going on with the Codex app anymore
Because humans actually don't have the ability to.
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When you think about it, it's really terrible for your training data to be sitting on your machine uningested. It ought to be centrally located. You know, for the greater good.
They said that they have millions of lines of PRs merged daily
Pretty sure they don't know this has happened lol
Maybe they'll raise a new PR with 1000000 lines to revert back now that you guys leaked the information
OpenAI is also now hiding your usage. Not accessible anymore in the menu, and /usage in the codex app now also gives a lot of stats, but the one stat you do want to know, how much limit left, is no longer there.
I'm guessing another big usage reduction is coming soon.
Mine got move out of the user menu on the lower left to just above the user menu as it's own clickable selection. The other day, I though they took the old quick view of usage away, and started going back to the settings to look. Turns out they just moved it.
> Not accessible anymore in the menu, and /usage in the codex app now also gives a lot of stats
Codex shows the usage limits on /status - Claude instead does it on /usage.
fwiw I can still see my usage in the Codex app
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You actually _want_ OpenAI to train their models on your code. This helps future models become far more effective for your line of work.
> but IP
There is absolutely nothing novel humans can come up (yes, doesn't matter who you are) that LLMs aren't aware of.
May be the coding agents should build a layer when they don't leak any IP, treat them like environment variables, which must be handled deterministically.