Загрузка видео...

Не удалось загрузить видео

На главную

Downloading Data ⏳💾🧠👈🏾 Roy’s ‘inside slip counters’ were elite 🥊

167,438 просмотров • 6 месяцев назад •via X (Twitter)

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Claude Cowork is f*cking ridiculous 🤯 One prompt → competitive research, creative briefs, 15 hook variations, and a full performance dashboard. All saved as real files on your computer. All inside Claude Desktop. If you're spending hours every week copy-pasting between tools, pulling competitor ads manually, writing briefs from scratch, and building reports in spreadsheets ... Claude Cowork eliminates the entire loop: → Point it at your project folder with brand voice + context files → It asks YOU clarifying questions instead of guessing → It builds a multi-step plan and executes while you step away → It creates real .docx, .xlsx, .pptx files — not chat responses → It connects to Slack, Google Drive, Airtable, and 50+ tools live No copy-pasting between tools. No babysitting the AI mid-task. No downloading and re-uploading files. What you get: → Competitive research synthesized into actionable creative angles → Ad briefs, hooks, and scripts generated in your brand voice → Interactive HTML dashboards built from your own customer data → Weekly performance reports created while you're getting coffee Built 100% inside Claude Desktop with skills, plugins, and connectors. I put together a full DTC playbook: 10 workflows with copy-paste prompts, the exact setup process, and the weekly operating rhythm I use. Want it for free? > Like this post > Comment "COWORK" And I'll send it over (must be following so I can DM)

Utkarsh Sharma

29,899 просмотров • 6 месяцев назад

Claude Cowork is f*cking ridiculous 🤯 One prompt → competitive research, creative briefs, 15 hook variations, and a full performance dashboard. All saved as real files on your computer. All inside Claude Desktop. If you're spending hours every week copy-pasting between tools, pulling competitor ads manually, writing briefs from scratch, and building reports in spreadsheets ... Claude Cowork eliminates the entire loop: → Point it at your project folder with brand voice + context files → It asks YOU clarifying questions instead of guessing → It builds a multi-step plan and executes while you step away → It creates real .docx, .xlsx, .pptx files — not chat responses → It connects to Slack, Google Drive, Airtable, and 50+ tools live No copy-pasting between tools. No babysitting the AI mid-task. No downloading and re-uploading files. What you get: → Competitive research synthesized into actionable creative angles → Ad briefs, hooks, and scripts generated in your brand voice → Interactive HTML dashboards built from your own customer data → Weekly performance reports created while you're getting coffee Built 100% inside Claude Desktop with skills, plugins, and connectors. I put together a full DTC playbook: 10 workflows with copy-paste prompts, the exact setup process, and the weekly operating rhythm I use. Want it for free? > Like this post > Comment "COWORK" And I'll send it over (must be following so I can DM)

Mike Futia

113,111 просмотров • 6 месяцев назад

Claude Cowork is f*cking ridiculous 🤯 One prompt → competitive research, creative briefs, 15 hook variations, and a full performance dashboard. All saved as real files on your computer. All inside Claude Desktop. If you're spending hours every week copy-pasting between tools, pulling competitor ads manually, writing briefs from scratch, and building reports in spreadsheets ... Claude Cowork eliminates the entire loop: → Point it at your project folder with brand voice + context files → It asks YOU clarifying questions instead of guessing → It builds a multi-step plan and executes while you step away → It creates real .docx, .xlsx, .pptx files — not chat responses → It connects to Slack, Google Drive, Airtable, and 50+ tools live No copy-pasting between tools. No babysitting the AI mid-task. No downloading and re-uploading files. What you get: → Competitive research synthesized into actionable creative angles → Ad briefs, hooks, and scripts generated in your brand voice → Interactive HTML dashboards built from your own customer data → Weekly performance reports created while you're getting coffee Built 100% inside Claude Desktop with skills, plugins, and connectors. I put together a full DTC playbook: 10 workflows with copy-paste prompts, the exact setup process, and the weekly operating rhythm I use. Want it for free? > Like this post > Comment "COWORK" And I'll send it over (must be following so I can DM)

Manoj Kumar Shah

17,146 просмотров • 6 месяцев назад

Claude Cowork is f*cking ridiculous 🤯 One prompt → competitive research, creative briefs, 15 hook variations, and a full performance dashboard. All saved as real files on your computer. All inside Claude Desktop. If you're spending hours every week copy-pasting between tools, pulling competitor ads manually, writing briefs from scratch, and building reports in spreadsheets ... Claude Cowork eliminates the entire loop: → Point it at your project folder with brand voice + context files → It asks YOU clarifying questions instead of guessing → It builds a multi-step plan and executes while you step away → It creates real .docx, .xlsx, .pptx files — not chat responses → It connects to Slack, Google Drive, Airtable, and 50+ tools live No copy-pasting between tools. No babysitting the AI mid-task. No downloading and re-uploading files. What you get: → Competitive research synthesized into actionable creative angles → Ad briefs, hooks, and scripts generated in your brand voice → Interactive HTML dashboards built from your own customer data → Weekly performance reports created while you're getting coffee Built 100% inside Claude Desktop with skills, plugins, and connectors. I put together a full DTC playbook: 10 workflows with copy-paste prompts, the exact setup process, and the weekly operating rhythm I use. Want it for free? > Like this post > Comment "COWORK" And I'll send it over (must be following so I can DM)

Abdul Sarfraj

30,854 просмотров • 6 месяцев назад

OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.

Rohan Paul

178,460 просмотров • 11 месяцев назад

🚨In 1999, psychologists at Carnegie Mellon 180 couples for six years and discovered something that destroys every piece of relationship advice you've ever heard. Partners who viewed each other through a lens of future potential maintained 87% relationship satisfaction. Those committed to seeing each other realistically broke up 63% of the time within three years. The researchers called it the Michelangelo Phenomenon, after the sculptor who claimed he didn't carve David from marble but simply revealed the figure that was already trapped inside the stone. Think about what this actually means for a moment. We've been conditioned to believe that healthy relationships require radical acceptance of your partner exactly as they exist today. Relationship experts preach this gospel constantly: love means embracing flaws, accepting limitations, seeing past imperfections to the "real person" underneath. The data suggests this approach is relationship poison. Couples who practiced this kind of clear eyed realism were systematically unhappier and far more likely to separate. Meanwhile, partners who maintained what psychologists would normally call "positive illusions" about each other's capabilities created relationships that lasted and thrived. But calling them illusions misses the point entirely. The couples with higher satisfaction weren't deluding themselves. They were seeing potential that existed but hadn't been actualized yet. They were recognizing capabilities their partners possessed but hadn't fully developed. They were loving the person their partner could become while simultaneously loving who they were in the present moment. This creates a feedback loop that traditional relationship psychology doesn't account for. When someone sees your potential consistently, you start to live into it. When someone believes you're capable of growth you haven't achieved yet, you unconsciously begin moving toward that vision. The "illusion" becomes a prediction that fulfills itself. The Michelangelo Phenomenon reveals that we become who we think others see us as. In relationships, this effect is amplified because romantic partners occupy an outsized role in shaping our self concept. The version of yourself that your partner consistently sees and responds to gradually becomes the version you inhabit. Which means choosing a partner is less about finding someone compatible with who you are right now and more about finding someone who can see and nurture who you're capable of becoming. And equally important: becoming someone who can see and call forth the best version of the person you're with. Most people are walking around as rough marble, waiting for someone to see the sculpture inside. What do you think?

Darshak Rana ⚡️

240,956 просмотров • 5 месяцев назад

68 college students played video games an hour a day for 30 weeks. They got measurably smarter. EEG brain scans confirmed it. The setup was simple. Half the group played League of Legends, an action game. The other half played Legends of the Three Kingdoms, a strategy card game. Same hours, same schedule, no gaming experience for anyone going in. Both groups improved on attention, working memory, and executive function. The League group's gains were significantly larger in spatial attention and spatial working memory. The benefits were still measurable 10 weeks after the gaming stopped. None of this is new. Daphne Bavelier's lab at the University of Geneva has been replicating this finding since the early 2000s. Her 2018 meta-analysis in Psychological Bulletin pulled data from 8,970 participants across 15 years and found the same thing. Action games train attentional control, a brain skill that transfers to other tasks. Strategy games train deliberation, which mostly stays inside the strategy game. The mechanism is the counterintuitive part. Action games train your brain by giving you no time to think. The brain can't deliberate. League of Legends throws 9 champions, hundreds of minions, dozens of abilities, mana, cooldowns, and map state at you, all updating in milliseconds. The brain learns to perceive faster instead. That perceptual speed transfers to anything else that demands the same skill. Including surgery. The 2007 Rosser study in Archives of Surgery found that laparoscopic surgeons who played video games more than 3 hours a week made 37% fewer errors, completed procedures 27% faster, and scored 42% higher on overall performance. The top third of gamers made 47% fewer errors. Laparoscopic surgery is a 2D screen with distorted depth perception, remote-controlled instruments, and multiple data streams updating in real time. The cognitive profile is almost identical to an action video game. The 10-week persistence is the part that should change how this gets discussed. If the gains were just from practicing the game, they would have disappeared the moment the students stopped playing. They didn't. The 30 weeks rewired the perceptual system, and the rewiring stayed.

Aakash Gupta

1,418,493 просмотров • 4 месяцев назад