atupem
The Bytebot Core – From Linux Container to Agent Control Surface
In a way Bytebot is a maximalist bet on the growth and improvement of multi-modal LLMs. I firmly believe that in a short period of time, the token cost will drop, while the capability increases (both dramatically). It's still uncertain, which makes it a great asymmetric bet.
We don't do any sort grounding or image conversion, and we offer a handful of tools. I'll go into more detail in my next post.
We'll be launching a self-serve cloud platform soon!
"We" are a YC-backed startup: https://www.ycombinator.com/companies/bytebot.
Re: truth and correctness, their are different tolerances depending on the type of task.
- The agent has a tool to set it's task to 'completed', 'failed', or 'needs_help', with the last one being a option for human in the loop scenarios. Sometimes the agent gets lazy and says it needs help prematurely.
- Additionally, the agent can create subtasks for itself, either to run immediately, or to schedule in the future. Here it again can call that tool a bit too eagerly, filling duplicate subtasks for a task that involves repetitive work.
- Properly handling super long running tasks, that run for 1+ hours. The context window eventually hits it's limit (this will be addressed this week)
Aside from those top of mind issues, there's a whole bunch of scaffolding issues - filesystem permissions, prompt injection security, i/o support, token cost - lot's to improve!
We're still super early, but already these agents are showing flashes of brilliance, and we're gaining more and more conviction that this is the right form factor
Why the simplest desktop agent abstraction wins
Show HN: I built a container for computer use agents
https://github.com/bytebot-ai/bytebot
Hey HN,I started building my own computer use agent - and ran into a bunch of issues. While there are platforms that offer virtual desktops, I wanted full control over the configuration of the OS and programs that were preinstalled. Looking at the open source computer use projects available, most were either proof of concepts or tightly coupled to a very opinionated designs. It ended up being a...
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$450 renewal fee, $300 annual travel credit, so the card costs $150 per year.
With points valued at $0.015, you need to earn 10,000 points to break even (150/0.015).
You get 3 points for every $1 spent on food/travel, so you need to spend $3,333/year on those categories to break even. Personally I spend way more, so the card is definitely worth it to me.