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what about crypto voting schemes? zero knowledge and all that

if we assume the user connection is secure (ie, about as secure as banking), can we have secure internet voting?


Not exactly. Centralized transactions on a blockchain ledger using hierarchical aggregation of tiers of voting collection points where each municipality includes their digital signature. And receipts for all voters that are easily verifiable against a publicly-readable ledger.


By publishing the poison fountain, you are making it so that researchers will have to invent techniques to "de-poison" data, perhaps contributing to long-term AI advances in intelligent data filtering while training

And secondly, why would you want worse LLMs? Seems less useful that way


This is so cool. A question on the service mesh - is building your own typically the best way to do things?

I'm new to networking..


A one-click avatar replacement (for when you detect you are in an AI interview) - that'll be interesting huh

The fun part is that then, the interviews can look way different than today -- e.g. the robot interviewer can demand proofs of the user's skill, etc.

It can even be confidential (ie, robot interviewer <> user's agent in a black-box room) so that they can share data

Imagine you have a function f(user_profile) -> decision

You can run f in a way that respects the user's privacy (and also hides the details of f from the user).

Companies get ~10x more data from each interviewee

Interviewees don't need to even show up

Sounds like a good deal to me!


I don't know if you're joking, but here are some answers:

"The mind is not a vessel to be filled, but a fire to be kindled." — Plutarch

"Education is not preparation for life; education is life itself." — John Dewey

"The important thing is not to stop questioning. Curiosity has its own reason for existing." — Albert Einstein

In order to think complex thoughts, you need to have building blocks. That's why we can think of relativity today, while nobody on Earth was able to in 1850.

May the future be even better than today!


I mean I get all your point. But for someone witnessing rate of progress of AI, I don't understand the motivation.

Most people don't learn to live, they live and learn. Sure learning is useful, but I am genuinely curious why people overhype it.

Imagine you being able to solve math olympiad and get a gold. Will it change your life in objectively better way?

Will you learning about the physics help you solve millennium problems?

These takes practices, there are lot of gatekeeping. The whole idea of learning is for wisdom not knowledge.

So maybe we differ in perspective. I just don't see the point when there are agents that can do it.

Being creative requires taking action. The learning these day is mere consumption of information.

Maybe this is me. But meh.


i'm curious, how does it work? does it read the db directly or use applescript to get the notes?


Yeah, one way to think about it is like... protocols restrict things, so that people can expect the same stuff.

With a traditional API, people can build it any way they want, which means you (the client) need API docs.

With MCP, you literally restrict it to 2 things: get the list of tools, and call the tool (using the schema you got above). Thus the key insight is just about: let's add 1 more endpoint that lists the APIs you have, so that robots can find it.

Example time: - Build an MCP server (equivalent of "intro to flask 101"): https://developers.cloudflare.com/agents/guides/remote-mcp-s... - Now you can add it to Claude Desktop/Cursor and see what it does - That's as far as i got lol


Oh this is really cool! I was building out a bit of this with Restate this past week, but this seems really well put together :) will give it a try!


Thanks! Would love to hear more about what type of agent you're building.

We've heard pretty often that durable execution is difficult to wrap your head around, and we've also seen more of our users (including experienced engineers) relying on Cursor and Claude Code while building. So one of the experiments we've been running is ensuring that the agent code is durable when written by LLMs by using our MCP server so the agents can follow best practices while generating code: https://pickaxe.hatchet.run/development/developing-agents#pi...

Our MCP server is super lightweight and basically just tells the LLM to read the docs here: https://pickaxe.hatchet.run/mcp/mcp-instructions.md (along with some tool calls for scaffolding)

I have no idea if this is useful or not, but we were able to get Claude to generate complex agents which were written with durable execution best practices (no side effects or non-determinism between retries), which we viewed as a good sign.



thanks. I'll check it out and see what I can do with it


you are a free man, just leave! imagine you only have 1 month left to live, how would you go about maximizing your life?

and do that


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