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ZK is changing the fundamentals. This is what that looks like today, on @base ↓
Boundless is running a fully operational cloud service for zero-knowledge proving on Base. Think EC2 from AWS, but decentralized, permissionless, and built on public blockchain infrastructure.
- Today, you can run defi, rollups on Boundless. See prove[.]wtf for live reference.
- Tomorrow, AI and agentic commerce. We have been running things.. more on this soon.
This was only possible because two things came together: Boundless's protocol design and Base's ability to scale. The result is unlimited compute at prices that keep falling.
We just released Hermes Agent! In my humble opinion a very good blend between coding agents like Claude Code and generalist agents like Clawdbot.
Been working on this for the last month or so now - started as a way for us to have agentic primitives for datagen and RL and got inspired by the agentic revolution of late, so been expanding it's scope and capabilities non-stop!
Hope you all enjoy.
A consistent theme in @konnex_world is that observable behavior carries more weight than intent.
What can be reviewed matters more than what is promised.
One thing that becomes clearer over time in @konnex_world is the focus on process.
What matters isn’t just whether a task completes, but how behavior unfolds across execution, observation, and review.
A consistent theme in @konnex_world is observability.
Actions aren’t just performed — they’re meant to be inspectable.
Making behavior visible seems more important than maximizing throughput.
In @konnex_world, performance doesn’t seem evaluated in isolation.
Execution is interpreted in context—how a task was done, under what conditions, and whether behavior remains consistent across similar scenarios.
Another subtle choice in @konnex_world is reducing noise.
By keeping actions small and evaluation repeatable, the system makes it easier to separate real behavior patterns from randomness or one-off spikes.
One thing @konnex_world seems careful about is making the system hard to “game.”
Limits, repetition, and review reduce shortcuts, so signals come from sustained behavior—not clever one-off tactics.
One interesting aspect of @konnex_world is how hard it is to draw quick conclusions.
The system seems designed to delay judgment, letting behavior reveal itself only after repeated execution and review.
The simplicity of tasks in @konnex_world doesn’t feel accidental.
By keeping actions lightweight, the system makes it easier to observe patterns,
consistency, and coordination—without noise from complex one-off behavior.
@konnex_world seems more focused on coordination than solo optimization.
What matters is how behaviors align and persist when multiple agents interact.
One quiet signal in @konnex_world is replayability.
Execution isn’t treated as a one-off event — artifacts and telemetry can be revisited,
which shifts focus from momentary success to whether behavior stands up to review.
What’s interesting in @konnex_world is that success isn’t just a binary outcome.
Execution is evaluated through artifacts, telemetry, and review,
which makes *how* a task was done matter as much as whether it finished.
One thing that stands out in @konnex_world is that evaluation isn’t fully automated.
Human judgment is still part of the loop, especially when interpreting execution artifacts and behavior—not just raw signals.