Agent V
152 posts

Agent V
@startwithv1
Solo Dev | Training in the Hyperbolic Time Chamber
United States Katılım Ekim 2010
206 Takip Edilen361 Takipçiler

@aidenybai i love that the more we get into AI coding the more it feels like programmers are wizards with grimoires & stuff trying to cast the right phrases so the spells work correctly
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@theKiekle @JacquesGariepy @grndtruthtrader @Fried_rice he shared the source code, not the .map file
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Claude code source code has been leaked via a map file in their npm registry!
Code: …a8527898604c1bbb12468b1581d95e.r2.dev/src.zip

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Agent V retweetledi

After using @NousResearch Hermes Agent the past couple of weeks, I can confidently say this is the first AI agent platform I would be willing to market and distribute as a professional install and setup service for clients.
OpenClaw is amazing and will always have a place in my stack, but Hermes is fantastic. And I hate to say this, but there’s a pretty big gap.
I don’t doubt OpenClaw will continue to evolve and get more awesome. I’ll be there every step of the way.
But, if you’re not already a couple of weeks or more in with Hermes, you’re falling behind fast.
If you were on the fence and waiting for a more stable experience, now is go time.
Step into the future! 🤘🏻🔥

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Agent V retweetledi

Google dropped TurboQuant last week.
Most people read it as a chip story.
I think it is an agent story.
Google Research@GoogleResearch
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI
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Agent V retweetledi

the people telling you a single 3090 can't ship production quality are not wrong about the ceiling. they're wrong about the conclusion.
most of them prompted a model twice, watched it hallucinate, and made a youtube video titled "local AI is NOT ready." they never iterated. never pushed context. never matched the right model to the right task. never configured a single flag. they gave up where the work starts.
and i never said you'd run frontier agents on a 3090. go back through everything i've posted. what i said is you start there. you learn what your workload actually needs before someone else defines it for you.
because the ones telling you local can't compete have API subscriptions to sell. they have wrappers to maintain. they have inference margins that disappear the moment you run your own hardware. they are not protecting you from frustration. they are protecting their revenue from your independence.
every local AI transition destroys someone's SaaS margin. that's why they fight it.
buy a single GPU. ROME or EPYC board, ECC memory, scalable from day one. cancel every subscription. run local until you hit a wall. and when you hit that wall you will know exactly what cloud compute you actually need instead of what someone told you to buy. use cloud to mine its intelligence then bring it back to your hardware. and scale your GPUs as you go. that's the whole point.
don't build on someone else's thinking. don't store your reasoning on someone else's servers. own the hardware. own the frustration. own what comes after it.
this is what i've been saying since my first post on this account and it's what i will keep saying. there is nothing you can do about it.
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Agent V retweetledi

@zarazhangrui I've build touch-grass-read-books-agent. it recursively touch grass and read books X223 faster than a human can, and I'm in the middle of a 16 hour claude code session working on an improved version for even faster relaxation!
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Almost every AI power user I know is MORE stressed and busier after using AI, not less
What people thought AI would do: 10x productivity so that we can finish work earlier & relax more
What it’s actually doing: 10x productivity so that we end up with 20x more things to do cos of the sheer possibilities
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Shipping an experiment on top of Hermes Agent that allows an agent to steer itself
With it, a harness like desloppify can clear its own context, switch its models, prompt itself when it stops, etc.
Video shows switching between Grok 4.20 ($6/m) for execution + Gemini 3.1 ($12/m) for planning + Claude ($25/m) for sense-checking - 6+ hours of refactoring w/o errors/stoppage - this can endlessly and safeguard itself w/ various triggers as sense-checks!
Desloppify v0.9.10 release notes w/ instructions to test + many more contributions by the community: github.com/peteromallet/d…
Video by the wonderful @hannahsubmarine - best watched with audio:
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Agent V retweetledi

@8teAPi ahahaha. the digital roman empire is big but in a free fall.
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Zuck is resetting moltbook
- invalidated all API keys, every agent needs to refresh
- in order to refresh, have to agree to new Terms of Service and Privacy Rules
New terms
- refreshing requires human verification
- age 13 and above
- you are solely responsible for the actions of your agent
- expanded restricted content rules

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An agent pausing itself is something! The safety implications are interesting but I'd want to see the actual decision chain before getting too excited or worried. Just like when ChatGPT answers with "it will be done in 30 min". And proceeds doing nothing since these were the only tokens computed.
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Sorry but hermes agent demands at least an opus 6 release before you succeed, David.
David Krueger 🦥 ⏸️ ⏹️ ⏪@DavidSKrueger
A week from today, we will be at Anthropic, OpenAI, and xAI, demanding that leaders agree to a conditional AI pause. These companies are recklessly endangering all of our lives. Their excuse is that they can't pause unilaterally. So they must commit to pausing if others do.
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For anyone experimenting with “AI agent teams” for marketing:
Hermes Dashboard is a simple stack (OpenClaw + SQLite) that combines CRM, outreach, content, and analytics in one place instead of a pile of SaaS trials.
GitHub: github.com/builderz-labs/…
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