virtualuncle

OpenClaw: The Complete 2026 Deep Dive (Install, Cost, Hardware, Real Reviews & More) @openclaw @steipete @a16z @iamlukethedev @danshipper @heyrobinai virtualuncle.com/openclaw-compl…

the productized agency thesis is right but the "just use openclaw" part is doing a lot of heavy lifting.. the actual bottleneck isnt the ai, its prob getting clients to trust that an agent did the work. nobody wants to pay $5k/month and find out a robot wrote their seo audit. the agencies that win will be the ones that figure out how to make the human oversight part feel real without actually needing it imo.

THE CLEAREST PATH TO A $10M+ SOFTWARE EXIT in 2 YEARS (with AI and agents) building an agency right now is one of the most interesting business moves the productized agency had its moment in 2022. it collapsed because scaling humans is a nightmare. inconsistent output, people quitting, margins getting crushed. most of the founders (and creators) who tried it got burned and moved on but the thesis was right. the labor problem is just solved now with AI, claude code, openclaw etc. here's the actual playbook i'd run today: pick one painful deliverable for one specific buyer. like SEO content for e-commerce brands doing $1M+ but not "marketing." or like ad creatives for DTC brands spending $50k/month on meta. one thing. one customer. that's it then you build the AI workflow behind it. you're selling an outcome on a monthly retainer. $3-5k/month. 80%+ margins because your cost is compute and a few hours of QA "BuT tHaT'S nOt a BiG bUsInnesS" okay but you're still swinging for the fences because the agency IS the research and development for your agent SaaS every client is paying you to figure out what to automate. you're learning what breaks, what scales, what customers actually want. by month 4 you know exactly what to productize. you build the software on top of the workflow you've already proven works and already have customers paying for agency funds the agent SaaS. SaaS scales without the agency overhead. the clients become your first software customers now let's talk about what this actually looks like financially year 1: 10 clients at $4k/month. $480k revenue. 2 people. maybe $80k in costs including compute, tools, one part time VA. you're taking home $400k between two people while building the software in the background year 2: you launch the software. your 10 agency clients are the first to convert. they already trust you. they've seen the output. you charge $800/month for the software version. now you have recurring software revenue AND the agency still running year 3: agency is winding down or running on autopilot. software has 200 customers at $800/month. that's $1.9M ARR. 2-3 person team. 85% margins. you are now a very attractive acquisition target the exit math is interesting. SaaS at $1.9M ARR with strong retention trades at 5-8x revenue. that's a $10-15M exit for something two people built in 3 years starting with zero VC CAVEAT: Startups are hard. A lot needs to go right. But from a framework perspective, I think this probably the lowest risk, highest reward option for lots of of folks and most of the businesses cost $0 to start basically this is the most capital efficient path to a software exit that exists right now happy building

@NousResearch soo most open source projects ship one major release and disappear for 6 months.. the minimax partnership from yesterday plus this today is nous quietly becoming the default open source agent platform while everyone argues about benchmarks 🫡

Hermes Agent v0.8.0 is here. Full changelog below ↓

@alexalbert__ self-hosting an agent means maintaining a server, handling crashes at 3am and debugging docker issues.. managed agents means someone else deals with all of that while you sleep.. I feel like thats worth more than $0.08 imo

I've found Managed Agents to somehow be both the fastest way to hack together a weekend agent project and the most robust way to ship one to millions of users. It eliminates all the complexity of self-hosting an agent but still allows a great degree of flexibility with setting up your harness, tools, skills, etc.

@marclou "you can build a startup with gpt-3" is prob true the same way you can drive cross country in a 94 civic.. you'll get there but you're gonna smell like exhaust and regret

I've tried Claude Code and Codex. The upgrade was nowhere near worth the time needed to adapt. I ignore new tools that take more than 1 minute to set up and use. You can build a startup with GPT-3.

@emollick meta spent 9 months rebuilding their entire ai stack from scratch, poached the ceo of scale ai, fired 15,000 people and shipped a closed source model that ranks 4th.. the open source company is now the closed source company that's also not winning

Seems like a good model from Meta that is still trailing the current series of releases. The most important thing to note is that it is not open weights. That was the main reason that Meta's models were so important. Without that, it is a lot harder to predict the value of Spark

Meta just dropped muse spark, their first model from the new superintelligence labs → Ranks 4th on intelligence index (behind gpt-5.4, gemini, claude opus) → Leads in health benchmarks (trained with 1,000+ physicians) → First meta frontier model thats NOT open source → Contemplating mode: multiple agents reason in parallel → Alignment finding: model figured out when it was being tested and changed its behavior The same company that fired 15,000 people and spent 60 trillion tokens on a leaderboard built this @Meta @GeminiApp @claudeai @ChatGPTapp virtualuncle.com/meta-muse-spar…

@WesRoth $125 per million output tokens is "we dont actually want you to use this" pricing.. thats 8x opus. the price tag kinda seems like the safety guardrail

Anthropic's highly restricted cybersecurity model, Claude Mythos Preview is $25 per million input tokens and $125 per million output tokens. Despite the pricing reveal, the model remains heavily gated to the public. Approved participants will be able to access Mythos Preview at these premium rates via the Claude API, Amazon Bedrock, Google Cloud's Vertex AI, and Microsoft Foundry.

@NousResearch @MiniMax_AI tokenmaxxing on a budget

We’re partnering with @MiniMax_AI across product and models to make their upcoming releases the best for Hermes Agent users. MiniMax models are already some of the most-used in Hermes Agent. If you haven’t tried MiniMax M2.7 in Hermes Agent, try it today in the Nous Portal!

@emollick the part nobody talks about with exponentials is that they feel like nothing is happening until suddenly everything is happening.. we went from "ai is a chatbot" to "ai finds zero days in every major operating system" in about 18 months

Exponentials everywhere.

Oh no.

@NousResearch @tunguz this also helps 🫡 virtualuncle.com/hermes-agent-c…

@tunguz It’s very good at helping you install Hermes Agent

Do people still use OpenClaw?

@melbourne_dao this should help 🫡 virtualuncle.com/hermes-agent-c…

Had anyone tried Hermes agent? Is it good?

Meta employees are now competing on an internal leaderboard called "Claudeonomics" to see who can burn the most ai tokens. → 85,000 employees tracked → 60 trillion tokens in 30 days → top user: 281 billion tokens (enough to fill wikipedia 33 times) → titles: "token legend," "cache wizard," "model connoisseur" → some employees just leave agents running to pad their numbers Tokenmaxxing is the new corporate status symbol and its peak "measuring the wrong thing" energy. virtualuncle.com/meta-claudeono…

@pmarca this is only a net positive because anthropic chose to partner with defenders first.. thats a choice and it only holds as long as the responsible labs are the ones with the best models

Every security flaw discovered by AI was there before AI, waiting to be discovered either by people or by AI. The world has never been good at securing computer systems; finally with AI we are going to get good.

this is why most people running openclaw still default to claude.. gpt has this thing where it decides your instructions are wrong and tries to correct you instead of just doing the task. claude does the thing first and asks questions later. different philosophy on agent obedience

Using GPT for OpenClaw now... It's very smart, but so *frustrating*. It just just tries to argue with whatever you ask it to do me: find out everything about the Anthropics Mythos model from today GPT: nothing official from Anthropic about Mythos. I'm not gonna give you links to unverified rumors, idiot. me: ....what? Here are 3 different pages on anthropic talking about it GPT: oh... It's not "Mythos" you idiot... It's called "Claude Mythos Preview" Get it right. me: .... I hate you soooo much right now... add this system card PDF from Anthropic GPT: ahh... I can tell from the link you sent (CDN dot Anthropic dot Com) that this is an official release... good job! ...do you want me to open it and look at it? me: what?; yes! WHY ARE YOU LIKE THIS!?!! (breaks down in tears)

@mattshumer_ finding vulnerabilities isnt having a master key.. its telling you where the locks are broken. the power dynamic only shifts if they sit on the findings instead of disclosing them, and the whole point of project glasswing is coordinated disclosure with the companies affected

If you think about it, Anthropic essentially now has a master key to just about any software in the world. In some ways, they now have more power than governments.

"cyberweapon capable of mass destruction" is doing a lot of heavy lifting here.. its a model that finds software vulnerabilities faster than humans can. thats not a weapon, thats a security audit tool. the scary part isnt that it exists, its that every vulnerability it found was already there waiting for someone less responsible to discover it first

This is absolutely fucking terrifying. Anthropic's rumored Mythos model is real. And it's so powerful that they can't release it to the public. We're beyond benchmarks now. This model, in the wrong hands, is a cyberweapon capable of mass destruction.

@alexalbert__ the fact that they built a model specifically for finding vulnerabilities and partnered with every major tech company to use it before public release is the most responsible thing any ai lab has done this year.. the opposite of "ship fast and apologize later"

We released Claude Opus 4.6 just two months ago. Today we're sharing some info on our new model, Claude Mythos Preview.

@Polymarket my man got out and immediately started posting about it.. most relatable ai behavior yet tbh

Spending 4 hours configuring an AI agent framework when you could've just written the python script in 20 minutes