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- OG Approved - No BS Tech News # 90
OG Approved - No BS Tech News # 90
🚀 Welcome to the Real AI Conversation
If you're here, you're not looking for fluff—you’re looking for clarity, strategy, and truth about what AI is doing to the world of business, leadership, and human progress.
This is not just another newsletter.
It’s a frontline dispatch from where AI meets ROI. We’re not hyping trends—we’re dissecting what works, calling out what doesn’t, and showing you how to stay ahead without losing your mind (or your job).
In this space, you’ll get:
Real-world lessons from boardrooms, factory floors, and code bases
Insights on what GenAI, automation, and agentic AI mean for your business
Stories that challenge, inspire, and occasionally piss off the status quo
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—OG
Latest Industry Trends and News 📈🌐
💡What’s the Big Idea?
Lisa Su says AI’s critics are stuck debating short-term limits while AMD is betting on a decade-long transformation — from chips powering models to ecosystems shaping economies.
🔑 Key Takeaways for Readers:
1. Scale over skepticism: AMD isn’t chasing headlines; it’s building the infrastructure that will make AI unavoidable.
2. Partnership as leverage: The OpenAI deal signals a shift — chipmakers are no longer suppliers, they’re strategic partners in intelligence.
3. Vision vs. fear: Su’s message is simple — thinking too small about AI is the new way to get left behind.
⚡ Why It Matters (OG lens):
This is the difference between playing in the AI market and building the AI market — Su’s vision shows what real leadership looks like when everyone else is still reacting.
⭐OG Rating:
5/5 - A masterclass in strategic framing: bold, data-backed, and anchored in execution rather than hype — exactly how serious leaders should talk about AI.
💡What’s the Big Idea?
IBM is turning AI hype into enterprise muscle — launching new watsonx and infrastructure capabilities designed to make AI scalable, governable, and production-ready for the real economy.
🔑 Key Takeaways for Readers:
1. Enterprise-grade AI: IBM’s new stack focuses on governance, data lineage, and model accountability — solving what most enterprises still fear about AI adoption.
2. Hybrid advantage: Seamless integration across on-prem, private, and public clouds keeps control and compliance where big firms need it most.
3. Operationalizing AI: The focus is no longer “can we use AI,” but “can we scale it safely and measurably” — and IBM’s toolkit is built for that pivot.
⚡ Why It Matters (OG lens):
While startups chase the next model, IBM is building the scaffolding that lets regulated industries actually run AI — this is what scaling responsibly looks like.
⭐OG Rating:4/5 - Technically solid, strategically mature — less flash, more foundation. It won’t go viral, but it will power the companies that do.
💡What’s the Big Idea?
As China’s workforce shrinks, its factories aren’t slowing down — they’re being taken over by a 300,000-strong robot labor force that’s redefining industrial resilience.
🔑 Key Takeaways for Readers:
1. Demographics vs. automation: While population decline threatens growth, China is countering it by accelerating robot adoption at scale.
2. Efficiency over expansion: Robots now fill labor gaps in electronics, automotive, and logistics — turning scarcity into productivity.
3. Policy as a catalyst: Beijing’s “robot revolution” incentives show how industrial policy can future-proof economies when demographics can’t.
⚡ Why It Matters (OG lens):
This is what long-term thinking looks like — when the rest of the world debates AI ethics, China is quietly wiring automation into its GDP.
⭐OG Rating:
5/5 - A powerful case study in national-scale adaptation — turning a population crisis into an automation advantage.
💡What’s the Big Idea?
OpenAI just turned ChatGPT into an app platform — letting developers build and sell mini-apps directly inside the chatbot, effectively creating an AI App Store.
🔑 Key Takeaways for Readers:
1. From product to platform: ChatGPT is no longer just a conversational tool — it’s an operating system for agentic apps and workflows.
2. Ecosystem power play: This move locks users, developers, and payments into OpenAI’s orbit — the same network-effect playbook that built iOS and Android dominance.
3. The start of AI commerce: Users will soon buy, deploy, and run software without ever leaving the chat interface — collapsing the gap between conversation and execution.
⚡ Why It Matters (OG lens):
This is the real inflection point — when AI stops answering questions and starts running your business.
⭐OG Rating:
5/5 - A paradigm shift — OpenAI isn’t just building models anymore; it’s building the infrastructure for the next digital economy.
OG approved quote
What do you think?
TECHNOLOGY & BREAKTHROUGHS 🚀💡
👉 OpenAI co-founder on new deal with AMD: We need as much compute power as we can possibly get
👉 AI Slop Is Killing Our Channel
👉 The Limits of AI: Generative AI, NLP, AGI, & What’s Next?
👉 Replacing Humans with AI is Going Horribly Wrong
Inside OG's Mind: Exclusive Insights
👉 Interesting posts — check it out here! 💥
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