kaicianflone

3 hari yang laludiscuss

[flagged]

5 hari yang laludiscuss

Additionally, why would the AI model for implementation even matter? It might take one dev o3 and another dev sonnet like Fable is a prerequisite to make the implementation happen. Super clickbait

kaicianflone

13 hari yang laludiscuss

Looks like it based on Anthropic’s own multi-agent orchestration research:

https://www.anthropic.com/engineering/multi-agent-research-s...

Their findings suggest multi-agent systems result in better performance attributed mostly to token usage (80% of variance).

kaicianflone

bulan laludiscuss

I stopped paying for Wyze subscription after replacing the camera backend service. Saving me about $30/m and a much finer tuned OpenCV to Claude API vision model.

kaicianflone

bulan laludiscuss

I don’t have a dog in the fight but it’s super scary to think about for the astronauts and their families. This issue’s been going on for a while now. Surprised that there’s not more AI or robotics that could be utilized for such cases.

Rumors are that Elon gets spaceX to buy tesla so tele-operated Optimus robots do the hard space work from now on. Not a bad idea per se but I’m not educated on the topic. Curiosity has me asking if we really want humans to go to mars or in space at all.

kaicianflone

bulan laludiscuss

Wow Angular Aria looks fantastic. Even have full docs for the more complicated scenarios like autocomplete. Can't wait to get this in my hands and see if it replaces the custom screen reader autocomplete I had to make.

kaicianflone

bulan laludiscuss

Is that a pretext zoom effect when changing screen dimensions? Very cool.

kaicianflone

bulan laludiscuss

If I bring my own Anthropic/OpenAI key and have usage available, why does Vercel's account balance determine whether my request executes?

kaicianflone

2 bulan yang laludiscuss

[flagged]

kaicianflone

2 bulan yang laludiscuss

Dissent and consensus among frontier models is a good thing.

Just like on a team of high performers, there are a million ways to skin a grape.

In my research, I've found that models perform better when they operate as a collective system with reputation, incentives, and accountability instead of isolated oracles answering alone.

Agreement, dissent, and correctness should all carry rewards and consequences. Just like in real life.

Collective machine intelligence, not AGI.

It's expensive, but it's also naive to believe a single model will consistently produce profoundly correct answers to profoundly novel questions.

kaicianflone

2 bulan yang laludiscuss

[dead]

kaicianflone

4 bulan yang laludiscuss

Sure the core primitive is a runtime wrapper that turns any function into a governed decision point:

  import { consensus } from "@consensus-tools/wrapper";

  const safeSend = consensus(sendEmail, {
    reviewers: [humanReviewer, aiSafetyReviewer],
    strategy: { mode: "unanimous" },
    hooks: { onBlock: (ctx) => audit.log("blocked", ctx) },
  });

  await safeSend({ to: "[email protected]", body: "Hello" });

The call to sendEmail doesn't execute until every reviewer votes. Strategy modes handle the consensus logic (unanimous, majority, weighted, etc.), and guards can ALLOW, BLOCK, REWRITE, or escalate to REQUIRE_HUMAN before anything fires.

The monorepo has 9 built-in policy types and 7 guard types designed so you can drop governance into an existing agent system without rewriting your orchestration.

Repo's at github.com/consensus-tools if you want to poke around.

kaicianflone

4 bulan yang laludiscuss

We’ve been building exactly this as an open-source ecosystem at consensus-tools. It’s a governance layer for multi-agent systems with a runtime wrapper that intercepts agent decisions before they execute: .consensus(fn, opts).

The coordination and consistency problems the paper describes are what the monorepo is designed around. Giving agents auditable stake in decisions. Happy to share more if anyone’s working in this space.

kaicianflone

4 bulan yang laludiscuss

There’s a bit of irony here. A lot of commercial kitchens already rely heavily on microwaves and rapid heating equipment. In many restaurants the microwave is a very important tool in the workflow rather than something unusual. Do your friends not eat out much?

kaicianflone

4 bulan yang laludiscuss

It doesn’t look like it. The AirPods Max “bra” case used to feel like it was the bane of my existence when I would always return to my dead AirPods outside the case, after I hurriedly took the headphones off.

But now, thanks to makerworld and 3D printers, I have a stand with integrated neodymium magnets for home that puts them to sleep on my desk and nightstand.

I’m equally surprised I had to print something Apple doesn’t sell and Apple hasn’t improved the design for what feels like a decade (other than USB-C and lossless and now old H2)

kaicianflone

4 bulan yang laludiscuss

Thank you for the post. It's a good read. I'm working on governance/validation layers for n-LLMs and making them observable so your comments on runaway AIs resonated with me. My research is pointing me to reputation and stake consensus mechanisms being the validation layer either pre inference or pre-execution, and the time to verify decisions can be skipped with enough "decision liquidity" via reputation alone aka decision precedence.

kaicianflone

5 bulan yang laludiscuss

I’ve been running OpenClaw Docker agents in Slack in a similar setup, using Gemini 2.5 Flash Lite through OpenRouter for most tasks, then Opus 4.6 and Codex 5.3 for heavier lifts. They share context via embeddings right now, but I’m going to try parameterizing them like you suggested because they can drift prettyy hard once a hallucinated idea takes off. I’m trying to get to a point where I don’t have to babysit them. I’ve also been thinking about giving them some “democracy” under the hood with a consensus policy engine. I’ve started tinkering an open-source version of that called consensus-tools that I can swap between agentic frameworks. Checking out if it can work with openswarm to work for me too.

kaicianflone

5 bulan yang laludiscuss

Go Momo go! If you want to hook up multiple dogs and have them reach consensus I'm down. I have a 15 lb havapoo I can volunteer ( he needs to help with rent )

kaicianflone

5 bulan yang laludiscuss

Fair I cleaned up the wording with ChatGPT with my review prompt. The substance matters more than the style. If a model flips 3/10 times on a trivial constraint, that’s a reliability issue, not a reasoning ceiling.

kaicianflone

5 bulan yang laludiscuss

This doesn’t look like a reasoning ceiling. It looks like a decision reliability problem.

The unstable tier is the key result. Models that get it right 70–80% of the time are not “almost correct.” They are nondeterministic decision functions. In production that’s worse than being consistently wrong.

A single sampled output is just a proposal. If you treat it as a final decision, you inherit its variance. If you treat it as one vote inside a simple consensus mechanism, the variance becomes observable and bounded.

For something this trivial you could:

    -run N independent samples at low temperature

    -extract the goal state (“wash the car”)

    -assert the constraint (“car must be at wash location”)

    -reject outputs that violate the constraint

    -RL against the "decision open ledger"

No model change required. Just structure.

The takeaway isn’t that only a few frontier models can reason. It’s that raw inference is stochastic and we’re pretending it’s authoritative.

Reliability will likely come from open, composable consensus layers around models, not from betting everything on a single forward pass.

kaicianflone

Submissions

Vercel AI Gateway Appears to Block BYOK Requests When Account Balance Reaches $0

OpenClaw ClawHub Broken Windows Theory – If basic sorting isn't working what is?

Broken Windows Theory: If basic sorting isn't working what is?

Ask HN: Private Discords – Invite Only

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