SwBratcher

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SwBratcher

SwBratcher

@swbratcher

Nostr: https://t.co/E2K9ifMgrb Linkedin: https://t.co/n2b84maG9t

Se unió Ekim 2008
269 Siguiendo364 Seguidores
SwBratcher
SwBratcher@swbratcher·
🤯🤯🤯 Matt Hill of @start9labs is showing off StartOS v.0.4.0 and the ease of spinning up a storefront with autonomy on LND with @BtcpayServer and and the new kickbutt features for the Start9 and StartOS with Let’s Encrypt and web services. #BitBlockBoom 2026 🎧 Not to mention their new router!! Leon, my agent, is going to have a hay day with this.
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SwBratcher
SwBratcher@swbratcher·
It’s about relationships and the data that facilitates them. Get as close as you can to the relationships, either personal or business, and get as close as you can to the data that enhances those relationships. Everything else is decentralization of intelligence and commoditization of software.
ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️@DanielMiessler

We’re missing a much bigger point on Mythos. It wasn’t even trained specifically for cybersecurity. It’s just that much better at doing work in general. It’s that good at cyber because it’s that good at everything. What do you think this is going to do to knowledge work? Mythos can chain multiple low and medium vulns together to create a high or critical. This is a task that far less than 1% of cybersecurity experts have ever done. Hell, probably less than 1% of all pentesters. So if it can do that, how do you think it’ll do at sending emails, doing analysis, writing reports, and the other 99% of everyday knowledge work? Do you really still think that Chris from Idaho has any chance competing against AI for a knowledge work job? In six months or a year, there will be very inexpensive models that can do knowledge work almost as good as Mythos. So companies have the choice of paying Chris $84,000 plus a whole bunch of benefits for 40 hours of mediocre work, or they can pay probably $100-$1000 for an AI that can do 10-1000 times the work per hour and that works 24/7. This Mythos announcement is getting attention because of cyber, but the real story is work in general.

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SwBratcher
SwBratcher@swbratcher·
I'll leave this here in case your agent: - Needs less token usage on cloud models - Needs better local context window mgmt - Needs better contextual memory intent storage github.com/swbratcher/pro…
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Nous Research
Nous Research@NousResearch·
We have partnered with @Xiaomi to bring their excellent MiMo V2 Pro model to Hermes Agent via the Nous Portal - completely free to use for the next 2 weeks! Access now on the latest version of Hermes Agent: 'hermes update'
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SwBratcher
SwBratcher@swbratcher·
@steipete @steipete I discovered Intent Compression today and adapted my agent prompt and memory for gains. Merit among openclaw memory and prompt approaches? I retooled my harness prompts smaller on behavioral parts and memory storage and recall got way better: open.substack.com/pub/swbratcher…
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Peter Steinberger 🦞
Peter Steinberger 🦞@steipete·
Working on a new QA process where we use openclaw to QA openclaw with a new synthetic message channel. Orchestrator agent understands project, defines tasks (e.g. ask agent to create cron) then verifies that agent did what that. If failure -> spin up subagent to analyze+fix.
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SwBratcher
SwBratcher@swbratcher·
We experience memory of different types. Your agent should too. Store memory in accordance with its purpose. Intent Compression tightens the AI Agent's harness prompts and memory system: open.substack.com/pub/swbratcher…
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SwBratcher
SwBratcher@swbratcher·
@sudoingX @sudoingX I see you building for Hermes. See if this has merit there since you already know the codebase? I defined it this morning and refactored my preload prompts and memory for considerable efficiency gains without intent loss or outcome degradation. open.substack.com/pub/swbratcher…
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Sudo su
Sudo su@sudoingX·
if openclaw is still your daily coding agent in april 2026 you're not going to make it.
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SwBratcher
SwBratcher@swbratcher·
@AlexFinn @AlexFinn As we port to local we'll refine our agent prompts and memory, to protect token use and context window, while preserving prompt intent. I've landed here and built it into my hegemon harness and automaton memory system. Worth an agent peek: open.substack.com/pub/swbratcher…
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Alex Finn
Alex Finn@AlexFinn·
It happened. Anthropic banned OpenClaw from Claude subscriptions Here's the thing though: I figured out a way to use Opus 4.6 in OpenClaw without exploding your costs In this video I cover how to set up OpenClaw a way where you still get Opus power, but for significantly less:
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Cole Medin
Cole Medin@cole_medin·
Karpathy's LLM compiler idea: raw docs -> LLM -> wiki articles -> agent queries at runtime. Everyone's applying it to external data. But your Claude Code session logs are the same thing. Raw folder already exists. Nobody's compiled it yet...🤔
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Matthew Berman
Matthew Berman@MatthewBerman·
Elon's friend is me ❤️
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SwBratcher
SwBratcher@swbratcher·
Prompt-Cloud Intent Compression for when intent matters more than precision and you really want to save those tokens on repeat context priming for models. open.substack.com/pub/swbratcher…
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SwBratcher
SwBratcher@swbratcher·
@skot9000 @BrianRoemmele We are to the point where we should not be telling the AI what outted them. Just like we shouldn’t ban tattoos over the eyebrow. There are certain things we need to let happen and keep close to the vest so that we can know what we’re dealing with.
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skot
skot@skot9000·
@BrianRoemmele interesting technique with the battery powered/corded grinder on the melamine.
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
Once robots making robot in your garage scales, central distribution from 1000s of miles away collapse, permanently. It was all centered around “cheap labor”. Now YOU own the cheapest labor. Today this is an AI video… Tomorrow it is yours.
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SwBratcher retuiteado
SwBratcher
SwBratcher@swbratcher·
Exactly where I’ve landed. Here’s the relevant part of what I’ve added to my drop-in prompts that indicate a need for a plan when it would normally go plan mode: “Don’t go into Plan Mode, just give me your intended approach for this, and don’t execute anything until I approve it. Ask me questions for any needed clarity using the interactive extended user interview.” Solves it by avoiding Plan Mode altogether.
Jarad Johnson@jdjohnson

I wish plan mode in Claude Code / Codex asked more open ended questions instead of multiple choice with recommendations. I think it unintentionally damages critical thinking. I'd prefer more of an interview approach.

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