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Vishal Dubey
@vishal_dubey
601 Following    1.1K Followers
One of my favorites parts of Grok is how how integrated it is with X as a native data source. When prompted, it’s exceedingly good at searching through X for specific posts or info that isn’t really found outside here. Especially as it comes to startup advice
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looks like reddit is almost wiped from chatgpt sources the query fanout changes had a big impact and the past couple of days it seems to be almost completely removed from prompt responses
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I appreciate hustle culture, but this drop shipping and resale thing has gotten way out of hand. There’s no reason someone needs 80 tickets for Dune 3 There is a solution to this madness of ticket scarcity though. If you went to Duke you would know
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Curious if anyone has compared model routing offerings: - Nvidia switchyard - Openrouter - Martian - Ramp Router Anything else? What’s the best?
Has anyone used Nvidia switchyard for model routing? Curious how it compares to OpenRouter auto mode, ramp router, etc...
As these “Super App” platforms fight for knowledge workers, one thing that doesn't get covered enough is how quickly the vendor lock-in begins. For example, Grok Bot only uses Grok models, and if you want it to make code changes, your bots will use Cursor Cloud agents. Using one product immediately upsells you into the xAI ecosystem. The Super App you choose can end up determining which models, coding agents, and tools you keep paying for, even if none of those were the reason you chose it.
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Today, @naturalpay is 365 days old. Last summer, I wrote a 15-page memo on agentic payments and the future of financial services. I had spent months going on long walks around Santa Monica, trying to figure out what I wanted to work on next. I was actually trying pretty hard to get away from payments. But the more I explored agentic payments, the more inevitable it felt. Like something I just had to go build. So on a Sunday morning in August, during one of many walks down Montana Ave, I texted the memo around to a few people to get a pulse check on the idea. 72 hours later, we had raised $10 million dollars. No pitch deck. No product. Just a vision. In the year since, we’ve raised over $40 million, grown to 18 people, and launched our first six products. By the end of 2026, we’ll have doubled the team, the number of products, and have a few other things out in the world that we can’t talk about yet. It’s been the fastest, craziest, most expansive year of my life. I’m incredibly thankful for everyone who decided to take this bet with us. I couldn’t have done it without the support of our exceptional team, world-class investors, and incredible partners. To celebrate one year, it felt right to go back to where this all started: long-form thoughts about the future. So consider this the follow-up. Agentic payments, revisited.
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After using Grokbot, the @interaction acquisition by @cognition makes more sense.
Everyone in the agents space is converging around some common set of ideas: 1. Always on agents (remote to local, or VM) 2. Plugins (skills + credential access for tools) 3. Browser access 4. Collaboration (agents can message/talk to other agents) The differences in UX and packaging are more important than ever, arguably more than model intelligence itself. (Side note: I wonder if the Grok personality will actually help them in adoption by giving these agents a sense of humor)
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Introducing Grok Bot, now in early beta. Bots are AI teammates that do real work for you. They sign in to your tools, use them just like you do, and come back with finished work.
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A team wants one agent One person wants an agent team
How are people charging to build agents for companies? If you implement agentic workflows for companies... or have paid someone to implement them: 1. How are you charging for the initial implementation? 2. Are you providing ongoing maintenance and evaluation? How do you charge for that? 3. What tool stack are you starting with? I've talked to a lot of people about this, and everyone’s answers are different. Very curious what you’re seeing.
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Just added 'Believe in yourself' to the top of my AGENTS.md
We asked an unreleased research version of Claude to take a stab at the Riemann hypothesis. It didn’t solve it, but it did make strides on a related problem: it increased the lower bound for the fraction of zeros of the Riemann zeta function that satisfy the hypothesis from 41.6% to 67.2%.
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very true, the flip side of this is that there's almost *too* many ideas that staying focused on a single one has never been harder
For anyone with endless ideas, this agent age is nirvana as those ideas are met with endless execution, endless exploration. I've never had has much fun working with computers as I do right now. What a time to be alive.
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The Codex/ChatGPT app is absorbing all the functionality of Atlas and is already way better at actually carrying tasks out. I bet over the next few months it gets much better at session persistence, managing logins/state, etc. until it becomes the main way a lot of people use the web
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ChatGPT’s Atlas browser was sunset today. Perplexity’s Comet browser is in zombie mode. When we started @browsercompany nobody cared about browsers, then everyone did (copying Dia), then everyone bailed. Yet I’ve never felt more confident browser : AI :: phone : smartphones.
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Using muse 1.2 in terminal right now to see how good it is. It’s definitely fast, but feels dumber than Opus 5
How will companies build agents that work alongside their employees? I discuss this with @rauchg, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is @agentnative_ #4# 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence
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Hosting our own Buzz w/ Cloud Agents (Buzz Video #2#:) For the past week, @vishal_dubey and I have been using Buzz. Yesterday, Vishal used Fable 5 (inside Buzz) to create our own hosted version of Buzz with built-in cloud agents that never die. These agents can spin up new agents that all share the same skills, API keys, workspace, files, automations, and more. This is an EXPERIMENT. We’re trying to find the best setup for businesses to create teams of agents and humans that work together. Part 1: What we like and don’t like about Buzz Part 2: Vishal’s hosted version of Buzz ⭐ Part 1 00:00 Intro 01:06 What Is a Harness? 02:49 What We Like About Buzz 04:17 Agents Collaborating Together 06:29 Custom Agents and Personas 08:13 Spinning Up Agents and Channels 10:34 What We Don't Like about Buzz ⭐ Part 2 14:03 Vishals Version of Buzz with Cloud Agents 19:39 Shared Skills and Connections 23:18 Setting Up a Daily Research Automation 26:08 Buzz Mobile App 30:53 Treat the agents like their own employee 35:28 Using Any Model (Fable, 5.6, Kimi) 37:25 What Vishal wish Buzz Had
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Buzz might be the real deal man. Releasing a video on Buzz tomorrow and.. @vishal_dubey and I filming a video Thursday on hosting and adding cloud agents to buzz.
Over the past 4 months, we have onboarded 1000s of small businesses to Chorus. Chorus is an Agent platform as simple as ChatGPT, but as customizable as Hermes. Build your own AI Employees that work 24/7 in autonomous loops in one prompt. (See More Below)
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10/10 launch video, one of those solutions that just makes sense the first time you see it Excited to try this one out
every memory solution I tried sucks, so I rolled my own it is a plug and play prompt that gives any agent infinite memory db is an append-only log. compression on the spot (nap, don't sleep). nothing is ever deleted, memory context is constant-sized, details fade with age
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Most people only use one agent at a time... 2026 is the year of the Agent TEAMs. An entire company being run with multiple always-on AI employees on @chorus_agent