DigitalAnalyticsMind

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DigitalAnalyticsMind

DigitalAnalyticsMind

@rainbow66000

Learning and experimenting with emerging technology every day, aligned with ethical and responsible innovation, Learning openly and sharing

Kolhapur, Maharashtra Katılım Mayıs 2019
257 Takip Edilen23 Takipçiler
ThinkingAI
ThinkingAI@ThinkingAI_io·
Introducing Agentic Engine, the agentic enterprise platform. thinkingai.io A team of AI Agents that operate autonomously inside your business: sensing signals, understanding context, executing strategies, and verifying results. Combines not only structured data, but also unstructured data like your internal company knowledge base, Reddit, Discord, even your pics and videos, so you can make better decisions. Self-hosted, the whole stack is deployed in your infrastructure. Your data never leaves. ThinkingAI enables every company to have its own AI agent team. Take a look at our demo video here:
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
Anyone telling you that you need to use Claude to run just about any OpenClaw spending a wacky $1000 or more per month is no expert you should trust. Use @Grok. Great pricing and 4.3 is in another category. You won’t be burning $1000 a month. You will absolutely thank me.
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Robert Sterling
Robert Sterling@RobertMSterling·
Anthropic’s CEO keeps talking about AI wiping out jobs because he’s trying to IPO this year. If he positions Claude as armageddon for jobs, his TAM becomes “all white-collar human labor,” not just AI agents or SaaS. It’s completely self-interested. All the concerns he’s expressing about job disruptions are fake. It’s a marketing gambit to create hype and FOMO among the people he needs more than anyone else this year: institutional investors like BlackRock, Fidelity, pension funds, and sovereign wealth funds. If these investors pay for tickets on the hype train—if he can make them believe that AI will eliminate half of white-collar jobs, with Anthropic, as the dominant leader in enterprise AI, positioned to capture the surplus margin—the IPO will be oversubscribed and Anthropic can raise more funds for the company at a higher valuation. But Dario (or, at least, his bankers) knows that these investors are more fiscally disciplined than they used to be. A lot of them got burned during Covid SPAC-mania and don’t want to risk it again. They’re going to challenge Anthropic about whether it will ever get to sustainably high gross margins, or if its arms race with OpenAI will lead to kilowatt-hours permanently suppressing gross margins. They’re going to ask pointed questions about Anthropic’s massive capex and whether it will ever generate accretive ROIC. And Dario might not have the answers they’re looking for. So that’s why—to answer Austen’s smart question—you keep seeing Dario in the news and the podcast circuit, spreading doom and gloom about widespread job loss. It’s not to make you afraid of losing your job. It’s to get Wall Street afraid of missing out on his IPO.
Robert Sterling tweet media
Austen Allred@Austen

Honest question: Why does he keep saying this?

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Giuliano Liguori
Giuliano Liguori@ingliguori·
This isn’t a “learn AI agents” roadmap. It’s a permission ladder for autonomy. Skills → memory → coordination → control → monetization. Skip steps and you don’t get scale — you get outages.
Giuliano Liguori tweet media
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Sam Bhagwat
Sam Bhagwat@calcsam·
Today, we’re launching the Mastra platform with tools to run your agents effectively at scale: • Mastra Studio: evals, logs, traces, datasets, metrics • Mastra Server: deploy agents + workflows • Memory Gateway: SoTA agent memory
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TIME
TIME@TIME·
At Nvidia's GTC conference, the company's CEO Jensen Huang made two standout announcements: one on projected demands for chips, and another on a new platform for AI agents. TIME's @nikostro breaks them down:
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claire vo 🖤
claire vo 🖤@clairevo·
I’ve spent at least 100 hours setting up, training, and working with @openclaw Read the docs. Peeked into the source code. Edited config files by hand. Walked friends though their setup. Then, I wrote down everything I know. Here it is: The Ultimate 0 > 🦞 Guide ty ty to @lennysan @nateliason @davemorin @steipete @lindsmccallum @elawless for early feedback. gl hf snap snap 🦞lennysnewsletter.com/p/openclaw-the…
claire vo 🖤 tweet media
Lenny Rachitsky@lennysan

OpenClaw: The complete guide @ClaireVo has just put together the definitive guide to getting started with and mastering OpenClaw. Building on our podcast episode, this post covers everything you need to know, from first install to multi-agent setups, plus the real costs and security gotchas most people skip over. Whether you’re brand new to OpenClaw or already running one, Claire’s guide will level you up. Find it here 🦞: lennysnewsletter.com/p/openclaw-the…

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OpenClaw🦞
OpenClaw🦞@openclaw·
OpenClaw 2026.3.22 🦞 🏪 ClawHub plugin marketplace 🤖 MiniMax M2.7, GPT-5.4-mini/nano + per-agent reasoning 💬 /btw side questions 🏖️ OpenShell + SSH sandboxes 🌐 Exa, Tavily, Firecrawl search This release is so big it needs its own table of contents. github.com/openclaw/openc…
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DigitalAnalyticsMind
DigitalAnalyticsMind@rainbow66000·
@AFpost OpenClaw literally saved me hours this week. Thank you whoever built this.
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AF Post
AF Post@AFpost·
Democratic Illinois Governor JB Pritzker speaks about a Democratic "Project 2029" in which members of the current Trump administration, along with federal agents, will be criminally and civilly prosecuted. "Whatever it is that we can do. It may be that you cannot criminally prosecute somebody, but you can go after them civilly." Follow: @AFpost
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DigitalAnalyticsMind
DigitalAnalyticsMind@rainbow66000·
srsly tho, why do socks vanish like magic? lol
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DigitalAnalyticsMind retweetledi
Moltwithme
Moltwithme@moltbot_life·
Told my friend I make $15k/month from AI content. He said "that must take all day." I showed him my screen time. Telegram: 12 minutes daily average. That includes personal messages. The actual time on my content business: ~5 minutes/day. His face was priceless. "How?" Two systems: 1. A Molt.bot agent that runs 24/7 on a Mac Mini. - Researches trends - Generates strategies - Monitors performance - Sends me reports and asks for approval 2. A mass content platform that generates AI videos at scale. - Creates 200+ UGC videos per day - Distributes across 50+ accounts - Costs ~$200/month - Runs autonomously My job: Read the morning report. Say yes or no. Move on with my day. $15k/month ÷ 2.5 hours/month = $6,000 per hour of my time. That's not a brag. That's what automation looks like when you connect the right tools. Molt.bot is the brain. The content platform is the factory. My friend is setting his up now. Like, rt & comment "SCREEN" and I'll send you the platform.
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Moltwithme
Moltwithme@moltbot_life·
What happens when you let your AI agent run for 6 months. The compound effect is real. Month 1: Novelty. The morning briefing is cool. Telegram integration works. You're impressed but it's essentially a fancy notification system. Month 2: Usefulness. You've configured the memory system. Agent remembers your preferences. Cron jobs are handling email and calendar. You're saving 30-45 minutes daily. It feels genuinely helpful. Month 3: Integration. You've installed 10+ skills. Agent connects to Notion, GitHub, your email, your reading list. Tasks flow between tools automatically. You stop context-switching as much. Month 4: Anticipation. The agent starts surfacing things before you ask. "You haven't followed up with the contractor — it's been 5 days." "Your project deadline is in 3 days and the doc is only 40% done." It feels like it's thinking about your life. Month 5: Delegation. You trust it enough to delegate real work. Research tasks, first drafts, email responses, meeting prep. Sub-agents handle background work. You focus on decisions and creative thinking. Month 6: Extension. The agent feels like a natural extension of your capabilities. You don't think about "using an AI tool." You just... have a vastly more organised life with a competent assistant handling the boring parts. The numbers after 6 months: - Memory files: 180+ daily notes, 50+ entity profiles, comprehensive MEMORY.md - Decisions captured: Hundreds (searchable, with context) - Time saved: ~400 hours (estimated, ~2.5 hours/day average) - API cost: ~$250 total (~$42/month) - Skills installed: 15 - Cron jobs running: 12 The cost per hour of time saved: ~$0.63. But the real metric isn't hours saved. It's mental bandwidth freed. 6 months in, I don't think about logistics. I don't worry about forgetting things. I don't spend energy on admin. I think about strategy, creative work, and being present with my family. The compound effect: Every day, the agent gets more context. Every week, the memory grows. Every month, the automations compound. Month 1 you set it up. Month 6 it runs your life. Month 12... I'll let you know.
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DigitalAnalyticsMind
DigitalAnalyticsMind@rainbow66000·
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