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This Week in AI...
This week, I show off some results of my Claude Cowork testing, the new Scribe v2 transcription model from ElevenLabs, and Midjourney's new Niji 7 model. Plus, I discuss the rising "AI for shopping" trend and OpenAI's new healthcare initiative. All that a more in the video, enjoy!
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🔄 From One-Off Prompts to Habitual AI Use
Many people believe they are using AI because they have tried it. A prompt here, a draft there, an occasional experiment when time allows. But trying AI is not the same as integrating it. Real value does not come from one-off interactions. It comes from habits. AI delivers its greatest impact not when it is impressive, but when it is ordinary. When it becomes part of how we think, plan, and decide, rather than something we remember to use only when things get difficult. ------------- Context: Why AI Often Stays Occasional ------------- Most AI use begins with curiosity. We explore a tool, test a few prompts, and are often impressed by the results. But after that initial phase, usage becomes irregular. Days or weeks pass without opening the tool again. Each return feels like starting from scratch. This pattern is understandable. Without clear integration into existing routines, AI remains optional. It competes with habits that are already established and comfortable. When time is tight, optional tools are the first to be skipped. Organizations unintentionally reinforce this pattern by framing AI as an add-on. Something extra to try, rather than something embedded into how work already happens. As a result, AI remains novel, but not essential. The gap between potential and impact often lives right here. Not in what AI can do, but in how consistently we invite it into our workflows. ------------- Insight 1: One-Off Use Creates Familiarity Without Fluency ------------- Trying AI occasionally builds awareness, but it does not build intuition. Each interaction feels new. We forget what worked last time. We rephrase similar prompts repeatedly. Learning resets instead of compounding. Fluency requires repetition. The same way we become comfortable with any tool, language, or process, through use in similar contexts over time. Without that repetition, AI remains impressive but unreliable. This is why many people describe AI as inconsistent. In reality, their usage is inconsistent. Without patterns, there is no baseline to learn from.
🔄 From One-Off Prompts to Habitual AI Use
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3 things I do every weekend to set up my week
I’ve learned this the hard way. If you wait until Monday to get focused, you’re already behind. Here’s how I set up my week before it starts: 1. I choose ONE win that mattersNot a to-do list. Not busy work. One outcome that actually moves my life or business forward. That goes on the calendar first. 2. I remove friction ahead of time I look at my week and ask,“What’s going to trip me up?” Too many meetings, distractions, low-energy days. I fix it now so I’m not relying on willpower later. 3. I reset my environment Desk clear. Calendar clean. Priorities visible. When Monday hits, I don’t want to think... I want to execute. This isn’t about discipline. It’s about design. Winning weeks are built before they begin. What about you? What’s the ONE thing you do to set yourself up to win the week ahead? Drop it below 👇
Reasoning
What are your top two reasons or use cases for AI? Bonus ⭐️ if you have examples! I’m on the journey but always feel overwhelmed, especially when I don’t have direct insight on a next step, then asking Gemini what the next step is 🤣
📰 AI News: OpenAI Backs Merge Labs To Bring Brain And AI Closer Together
📝 TL;DR OpenAI has led a roughly quarter billion dollar seed round into Merge Labs, a brain computer interface startup co founded by Sam Altman in a personal capacity. The long term vision is wild, safe high bandwidth links between your brain and AI that could eventually feel more like thinking than typing. 🧠 Overview Merge Labs is a new research lab focused on bridging biological and artificial intelligence to maximize human ability, agency, and experience. Instead of surgical implants, it is exploring non invasive or minimally invasive ways to read and influence brain activity using advanced devices, biology, and AI. OpenAI is not just wiring money, it plans to collaborate on scientific foundation models that can interpret noisy neural signals and turn them into intent that AI agents can understand. 📜 The Announcement In mid January, OpenAI announced that it is participating in Merge Labs’ large seed round, reported at around 250 million dollars and one of the biggest early stage financings in neurotech to date. Merge Labs emerged from a nonprofit research effort and is positioning itself as a long term research lab that will take decades, not product quarters, to fully play out. The founding team blends leading BCI researchers with entrepreneurs including Sam Altman in a personal role. OpenAI says its interest is simple, progress in interfaces has always unlocked new leaps in computing, from command lines to touch screens, and brain computer interfaces could be the next major step. ⚙️ How It Works • Research lab, not a quick app - Merge Labs describes itself as a long horizon research lab that will explore new ways to connect brains and computers, rather than rushing a gadget to market next year. • Non invasive, high bandwidth focus - Instead of drilling electrodes into the brain, the team is working on approaches like focused ultrasound and molecular tools that can reach deep brain structures without open surgery, while still moving a lot of information.
📰 AI News: OpenAI Backs Merge Labs To Bring Brain And AI Closer Together
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