David Wu
@davidpwu
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Business technology. Son, husband, father of 2, CIO at NAC Architecture
Seattle
Joined October 2008
.@shl runs a $10M rev/year company with AI (1 employee) It's a preview into the future of product building. While most PMs live with rigid 2-week sprints, write long PRDs, and spend all their time coordinating people... Sahil ships ideas to production in 10 minutes. While
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AI is moving faster than institutions, slower than expectations, and sideways to almost everyone’s plans. Enterprises are still debating “AI strategy” while startups ship new agents every week. Researchers are sprinting ahead while regulators write think pieces. And users?
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ChatGPT wants to be the new operating system. Here’s why that should worry us - Compute has become the new oil, and OpenAI just secured drilling rights. Fast Company
apple.news
Compute has become the new oil, and OpenAI just secured drilling rights. In a single day, OpenAI laid out the two pillars of its next empire. First, it signed a sweeping deal with Advanced Micro...
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I just love this. The new =COPILOT() function in Excel lets you analyze, generate content, and brainstorm directly in the grid.
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AI Agents are a real transformation in software monetization. Traditionally, software was largely capped at ~$10-50 or so per month per seat for any particular software. There’s outlier vertical software, but it generally always had roughly this ceiling. AI Agents on the other
We’ve gone so quickly from “not sure I want to pay $20/month for another AI coding tool when I already pay $20/mo for one” to “my $200/month subscription keeps running out of limits- help!!” Devs actively using LLMs for work are trending to pay easily $1,000+/month soon…
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Why AI is a house of cards: 1. You pay $200 a year for an AI app (like Cursor). 2. Cursor pays OpenAI $500 for API tokens ($300 of which is VC funding). 3. OpenAI pays AWS $1000 for compute ($500 of which is VC funding). 4. $AWS pays $10k for $nvda GPUs. See the problem?
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There’s such a clear opportunity for IT, engineering, or operations people to help companies go AI-first right now if they both understand the workflows of the organization and what’s possible with AI Agents. AI is going to continue to advance at a rate that far exceeds most
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While I briefly have no employer, let me tell you what's really happening with AI companies training on public data: [1/n]
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The view that imagines AI wiping out jobs or causing some overnight shock to the system doesn’t contemplate that companies are a made up of a series of bottlenecks. When AI accelerates work in one area, you run into a bottleneck somewhere else. As any individual workflow gets
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The eight dimensions of design thinking capture essential differences in how managers and designers perform their work and make decisions. https://t.co/0CLMUzw6YG
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😰 Employees are interrupted every 2 minutes by meetings, emails, or pings. 60% of meetings are ad hoc versus scheduled. Edits in PowerPoint spike 122% in the final 10 minutes before a meeting. Chats outside the 9-to-5 workday are up 15% YOY, with 58 messages now arriving
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Crazy to realize Jensen Huang has been building NVIDIA for almost as long as I’ve been alive. They went public when the company was 6 years old and the stock is up 363,600% since then.
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Many still see digital transformation as a matter of tools and trends, but what often derails it is the lack of alignment between leadership mindset, cultural preparation, and the real purpose behind adopting new technologies. Microblog @antgrasso #DigitalTransformation #Mindset
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I'M BLOWN AWAY. Andrej Karpathy just explained Software 3.0 at YC. BIG IDEAS: English is coding. AI is electricity. And, build for LLMs, not just people. Key takeaways:
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As AI agents have yet to pay for themselves, more and more executives are waking up to the sloppy reality of AI hype. Source: Futurism
futurism.com
As AI agents have yet to pay for themselves, more and more executives are waking up to the sloppy reality of AI hype.
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BREAKING: Stanford just surveyed 1,500 workers and AI experts about which jobs AI will actually replace and automate. Turns out, we've been building AI for all the WRONG jobs. Here's what they discovered: (hint: the "AI takeover" is happening backwards)
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Productivity growth is a win-win for all stakeholders, but achieving it is hard. Six shifts in the conventional wisdom on productivity growth emerge from new MGI research. Learn how to unlock productivity growth 👉 https://t.co/2nMpBR9XHG
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Met with a number of IT execs this week and the conversation was all about the future of AI Agents in the enterprise and lessons for companies going AI-First. Here are a few takeaways around best practices that are starting to emerge. * Focus on accelerating processes, not just
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