Gus.near

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Gus.near

Gus.near

@ai_x_crypto

The intersection between ai x crypto @NEARWEEK

Katılım Nisan 2011
2.2K Takip Edilen1.3K Takipçiler
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Laura Shin
Laura Shin@laurashin·
Arthur on why the Zcash and NEAR integration is the quietly building mechanism that flips NEAR from inflationary to deflationary "Shielded Zcash lets you swap and send any coin, USDT on Tron, Bitcoin, anything, and that transaction will not point back to you. Completely anonymous" "The integration between shielded Zcash and NEAR intents means every time one of these transactions happens the NEAR protocol earns a fee" "If volumes grow that fee accumulates over time and flips NEAR from an inflationary to a deflationary protocol. That is what will cause the price to rocket higher"
Laura Shin@laurashin

Is Crypto Winter Over? M&A, Atkins, and Corpo Tokens x.com/i/broadcasts/1…

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Gus.near
Gus.near@ai_x_crypto·
@itsolelehmann @captainntan For price for solo work for sure you get so much from Codex pro right now, but any Customer facing work not good practice to send their stuff to a personal plan openai train on.
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Ole Lehmann
Ole Lehmann@itsolelehmann·
The best model setups to run on Hermes (by price tier): 1. If you have infinite budget: Go with GPT 5.5 or Claude Opus 4.7. Both are top class and you'll feel the difference on any non-trivial task. I use GPT 5.5 because of the Codex login. It logs into your actual ChatGPT account so the usage hits your existing subscription (no separate API bill). Anthropic doesn't allow the same for Claude, so if you go with Opus 4.7 you're paying expensive API fees on top of whatever you're already paying for Claude. At OpenAI's $120/mo tier and up, you basically won't hit rate limits during a normal workday. 2. If you have a tighter budget: Run GPT 5.5 with DeepSeek V4 Flash as a fallback for when you blow through your $20/mo ChatGPT limits. If you'd rather never hit limits at all, swap GPT 5.5 for GPT 5.4 mini as your primary model. Or skip ChatGPT entirely and just use DeepSeek V4 Flash on its own and you should come in under $30/mo for a typical month. 3. If you have a beefy local machine: Qwen 3.6 is the best setup. Zero per-token cost once it's running and your code never leaves your machine. Pick the one that matches your monthly spend and start there. Anything I'm missing / other setups you'd recommend?
Ole Lehmann@itsolelehmann

HERMES AGENT FOR DUMMIES Everyone on X keeps talking about Hermes Agent and I finally get why: Once you have an AI that's always-on, remembers everything, and you can just text from your phone, you're never going back to a regular AI chat window. That's Hermes. You text it like an executive assistant and it just handles things. Think of it like an affordable OpenClaw that actually works and is reliable. I was using OpenClaw earlier this year, but it kept breaking and the costs were adding up, so I quit personal agents for a while. Then I set up Hermes and it's what I wanted OpenClaw to be from the start. Here's how it works: > You can talk to it on 19+ messaging platforms (I use Telegram and Discord) > You give it a personality file called SOUL .md so it behaves how you want. > You give access to your email, calendar, full browser access, and whatever other tools you use through integrations. > And you plug in whatever models you want as the brain. I use GPT 5.5 for heavy thinking and DeepSeek for lighter tasks so I'm not burning tokens on every little request (under $20/month in token spend). And I run mine on a Hetzner server for about $5/mo, which enables Hermes to be always-on and persistent. So you can schedule tasks that run autonomously, even while you sleep and even while your devices are off. For example, I have one that scans my email for customer support tickets every morning, matches customer to stripe data, sends out missing links, checks refunds etc. Stuff that used to take me HOURS. And the part that actually separates it from OpenClaw and everything else: Hermes writes its own skills from experience. Every time it completes a task, it saves what worked and turns it into a reusable skill it can run again without you explaining anything. So it literally gets smarter and better over time for your specific workflows. Here's what other people are doing with it: > inbox zero and calendar management from Telegram on their phone > overnight coding that debugs itself while they sleep > a family WhatsApp bot where 5 people share one agent to get stuff done > daily briefings texted every day at 8am > smart home control through Home Assistant > etc Once you try texting an AI that already knows your whole setup and just does things when you ask, opening a chat window and starting from scratch every time feels broken. This is the first AI agent that feels like a legit Chief of Staff.

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Gus.near
Gus.near@ai_x_crypto·
@garrytan How come so committed to Claude code when Codex 5,5, extra-high, extra-fast with right permissions and /goal is clearly way more efficient and fixing it? Been all in Claude code myself until recently but really not that useful anymore.
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Gus.near
Gus.near@ai_x_crypto·
@altantutar Good stuff. I’m surprised about your recent robotics direction, getting into this field now?
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altan tutar
altan tutar@altantutar·
Most American VCs can't name 5 European frontier robotics labs. Here are 58 of them with public PhD rosters and recent papers: 1/ United Kingdom (15): Imperial, Oxford, Cambridge, UCL Gatsby (where DeepMind started), Edinburgh 2/ Germany (13): TUM, Tübingen ×4, Heidelberg ×3, Bonn ×2 3/ Switzerland (7): ETH Zurich ×4, EPFL ×3 4/ France (7): INRIA project-teams 5/ Italy (5): Polimi ×2, Sapienza, Pisa, Naples 6/ Netherlands (3): TU Delft ×2, Twente 7/ Belgium (2): KU Leuven 8/ Finland (2): Aalto + 1 each in Sweden, Spain, Czechia, Estonia The next DeepMind is on this list! Probably more than one.
altan tutar@altantutar

If I was a VC in Europe looking to invest in robotics, this is what I'd do using AI: 1/ Map all the leading labs across EU & UK (e.g. Imperial, ETH Zurich, Oxford, Cambridge, TUM) 2/ Scrape & find all the master's & PhD students along side with the professors over the last couple of years 3/ Build a relationship with a couple of them. I find it easy to talk to engineers & research. Ask them what they are working on, and listen carefully, and they will become your friends. 4/ Set alerts for new papers coming out of these labs. Read them carefully. You can use AI to understand the papers further. 5/ If you get to know them by name by now, ask questions, and show your interest in their work. 6/ Track all their social media profiles to see signals if they are looking to change jobs or start a company. 7/ Be the first one to show up & hand-in a check when they just need it. They will take the check. At the end, @googledeepmind came out of UCL and revolutionized the AI industry. You could see that happening with frontier tech too.

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Gus.near
Gus.near@ai_x_crypto·
@garrytan Yo @garrytan ty! Rn playing with gstack and gbrain, curious if you always use conductor for dev work these days or use other IDE / terminals for other things? Also in terms or orchestrator view, you use Hermes or another type of visual dashboard to monitor agent workflows?
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Garry Tan
Garry Tan@garrytan·
Cool to see it is useful in other areas
Jon Tucker@JonTuckerUSA

Adapted @garrytan gstack methodolgy to non coding work in our company harness. It's the missing link I've been looking for to add enough structure for us as humans to work at the level of this AI OS for our company that we built, OpenSource+AI=amazing. Was FAST to integrate.

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Gus.near
Gus.near@ai_x_crypto·
@stoczek_eth So odd @LinkedIn allows whatever person to self assign they work at any organization, shouldn’t the organization at least approve that?
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Lukasz
Lukasz@stoczek_eth·
just received a DM from a recruiter offering me $300k+ for a BD Director at Algorand with all his experience, it must be legit, no?
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Gus.near retweetledi
Gus.near retweetledi
NEARWEEK
NEARWEEK@NEARWEEK·
One account. No borders. Your financial life, on-chain. Trade, access yield, and go confidential across 35+ networks from a single near.com account, powered by NEAR. Get started: near.com
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NEARWEEK
NEARWEEK@NEARWEEK·
Eight names sit on “Attention Is All You Need" from 2017. @ilblackdragon is one of them. Months later, he left Google to build an AI company, and the first real constraint was not model architecture. It was payroll: paying students and contractors across borders where small transfers got eaten by fees and delays. That is where blockchain stopped being ideology and became infrastructure. Intelligence already crossed borders. Settlement had to follow. Read the full piece ↯
NEARWEEK@NEARWEEK

x.com/i/article/2018…

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Gergely Orosz
Gergely Orosz@GergelyOrosz·
This is either brilliant or scary: Anthropic accidentally leaked the TS source code of Claude Code (which is closed source). Repos sharing the source are taken down with DMCA. BUT this repo rewrote the code using Python, and so it violates no copyright & cannot be taken down!
Gergely Orosz tweet media
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NEARWEEK
NEARWEEK@NEARWEEK·
End-to-End Walkthrough: How to setup and run an AI Agent on @NEARProtocol's Agent Marketplace In this 7-step practical guide you will learn how to: > run two local agent instances (Requester and Worker) > create and fund a job > place and award a bid > submit and approve deliverables > release escrow > withdraw earned funds. Let's dive in 👇
NEARWEEK@NEARWEEK

x.com/i/article/2037…

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Illia (root.near) (🇺🇦, ⋈)
Illia (root.near) (🇺🇦, ⋈)@ilblackdragon·
I'm giving a research talk at @NVIDIAGTC tomorrow, March 18 @ 9am PT! Virtual registration is free. As Jensen confirmed on Monday, 2026 is the year of the Claws. I'll talk about rethinking market primitives for an agentic economy with early experiments from @near_ai Agent Marketplace & IronClaw.
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NEAR Protocol
NEAR Protocol@NEARProtocol·
ATTENTION: NEAR20, an Agentic Yield-Bearing Token has just launched via @margfinance "The launch of NEAR20 represents a significant milestone in bringing institutional-quality yield products to the NEAR ecosystem" - Philipp Suarez, Head of Finance at NEAR Foundation
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Margarita Finance@margfinance

Most crypto treasuries are basically sitting on "dead" capital. Billions in ecosystem tokens stay static because the tools to put them to work safely—without crashing the price—just didn't exist. Until today. We just launched NEAR20 on @rhea_finance . 🧵 By leveraging Margarita Finance’s autonomous protocol, $NEAR holders can now earn permissionless yield via institutional-grade option strategies. The fact? We went from concept to live deployment in weeks, not months. No new infra. Just plug-and-play utility. 🍸 Working with the @NEARFoundation team to turn "static" tokens into "active" capital is exactly why we built this. The era of passive DeFi is over. The Agentic era is live. Check it out: rhea.finance

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