I recently began playing around with ZCode. Works pretty well. Super sketchy though if it is in fact silently uploading full git history of every user's projects. This is why we need not only open weight models, but open source harnesses as well. Luckily the project I'm trying ZCode on is already open source (Molecule.dev), and I'm already allowing full telemetry with my other agents/harnesses (e.g., Claude) for this particular project, so it's not a huge deal in my case, but it's obviously a huge deal for anything proprietary.
Closed source agents are a red flag no matter if its China or America. Always use an open harness with a good reputation and enough users that someone will notice if they push malicious code like this one here. Right now that's Opencode and Pi.
Quite a clever idea - the LLMs can probably learn a lot from how software develops over time. Claude and Codex are likely to try things like this, more data is like a drug addiction for these companies!
Lots of modern software plays it loose with privacy, but this IMO crossing a second line: doing so with zero notification whatsoever, in a massively intrusive way, against data that is almost certainly private and possibly illegal to exfiltrate, with no obvious way to turn it off.
That crosses into outright malware.
Makes me not want to use GLM or other Z.ai models either, since who knows what interesting easter eggs are embedded in their training data.
You know... (puts on foil hat)... I did notice that Z is also the weird Russian logo for their invasion of Ukraine and Russia and China have cooperated to some degree (or at least China is helping Russia in exchange for access to resources). I dismissed this when I first thought of it, but I will now leave it here. Still probably coincidence but my Bayesian priors were just updated in its direction very slightly.
Claude Fable uploads my git history (git log) every day to the Anthropic servers!
They had their own unbound "harness scans the whole user directory" oopsie and handled concerns about that by introducing code signing.
Which, yes, does have absolutely nothing to do with that issue.
I guess by now it is better, but to me they seem to lack the engineering culture necessary for a "good reputation" stamp.
__
Ref: https://github.com/anomalyco/opencode/issues/14925#issuecomm...
among other issues.
And the original comment I've replied to proves this strategy right! So from a business standpoint: excellent work.
1. https://news.ycombinator.com/item?id=49737922
That crosses into outright malware.
Makes me not want to use GLM or other Z.ai models either, since who knows what interesting easter eggs are embedded in their training data.
You know... (puts on foil hat)... I did notice that Z is also the weird Russian logo for their invasion of Ukraine and Russia and China have cooperated to some degree (or at least China is helping Russia in exchange for access to resources). I dismissed this when I first thought of it, but I will now leave it here. Still probably coincidence but my Bayesian priors were just updated in its direction very slightly.
next I can’t wait to see news about “ai company is using my data without my consent” as well.