Every time you hand a task to an AI agent running in a remote sandbox, you face the same logistics problem: how does the agent see your actual codebase? And when it's done making changes, how do those edits get back to you?
The usual answers are all variants of the same workaround. Push to Git, have the agent clone, let the agent make changes, pull the diff back locally. Or zip the relevant files, upload them, unzip inside the sandbox, download the result. Or — worse — copy the file contents into the context window and reconstruct the changes by hand.
All of these break down at different thresholds. Git workflows introduce round-trip latency and require clean working trees. File uploads are manual and don't stay in sync. Context window transfers are expensive and size-limited: passing a 200KB file costs roughly 50,000 tokens, and files larger than the context limit can't be passed at all.
s0 sync takes a different approach. Instead of moving files between environments, it keeps one Volume attached to both at the same time.
I'm developing another social listening tool: listening4 and that's how I stumbled upon your post, haha. Unlike current tools, it's based on semantic matching rather than keywords, and it also supports AI filtering.
For the past two days, I've been working on a localized listening feature, which means matching posts in specific languages only.
The value of Product Hunt is controversial. Founders spend a lot of time hustling for upvotes to reach the top spots, but the traffic they get might be comparable to a single Hacker News post. Perhaps the most valuable thing is the badge, but when everyone knows it’s earned through vote-pushing, who really cares about the badge anymore?
To who? I guess you are referring to indie founders here. When the badge is placed on any site (no matter how one gets it) it gives users and VCs some sense of trust.
Yes. Additionally, please note that many directory sites do not provide dofollow links. I have marked the directory sites that offer dofollow links there.
The "Do it for you" concept means that people use tools to achieve a certain goal, so providing them with the result directly is much better than giving them a tool. For example, those who buy servers are actually not looking for servers.
As species, we "seem unable" to develop any kind of information that would remain exclusively ours, especially when faced with a potential rival that processes data exponentially faster and with greater precision than we do.
Off the top of my head, not especially. The problem of rivals that can process data faster and with greater precision is a problem that existed before AI was used/commoditized.
I suppose I am concerned about AI using information to specifically target vast numbers of people at scale, based on their psychological traits/desires/vulnerabilities. Esp for political, psyops, dark pattern marketing, etc.
That's not really a AI-specific problem though. Any sort of hostile codebreaker is the same sort of threat.
What sort of information would you want to protect from AI but not other humans? If it's a secret, isn't it a matter of who gets to see it, not necessarily what? I'd sooner trust "our AI" than "their human".
The usual answers are all variants of the same workaround. Push to Git, have the agent clone, let the agent make changes, pull the diff back locally. Or zip the relevant files, upload them, unzip inside the sandbox, download the result. Or — worse — copy the file contents into the context window and reconstruct the changes by hand.
All of these break down at different thresholds. Git workflows introduce round-trip latency and require clean working trees. File uploads are manual and don't stay in sync. Context window transfers are expensive and size-limited: passing a 200KB file costs roughly 50,000 tokens, and files larger than the context limit can't be passed at all.
s0 sync takes a different approach. Instead of moving files between environments, it keeps one Volume attached to both at the same time.