@Apple has decided that AI models are a commodity infrastructure, like electricity or cloud storage, that is better bought from a specialist (@Google ) than built in-house, allowing them to focus on what they do best: productization and user experience.
Between the lines 👇
Silicon Valley used to be a lighthearted, witty sitcom. What we’re watching unfold today feels more like a mob drama, dark, intense, and brutally real.
Welcome to AILand.
The tech industry has become a high-stakes battlefield.
🧵Thread
No one celebrated harder than @Microsoft legal team this year 😂.
In a brilliant move right before 2025, Microsoft and @OpenAI have redefined “AGI” not by technical merit, but by a staggering $100B profit milestone.
Thread 🧵
• AGI Redefined: What was once a technical goal is now a financial one—reshaping how we measure AI progress (not so good to OpenAI).
With this deal Microsoft ensures that it will be on the edge of OpenAI’s technology and cost line.
What would you do if you were @sama ?
Picture this: It’s 2025, and you’re at the edge of an AI powerhouse like @OpenAI . Competitors are surging forward, new models are entering the race, and even your trusted partner, Microsoft, is diversifying beyond your technology. 🧵
It can be all of the above, but the path forward remains messy: two steps forward, one step back. But that’s the reality when you’re pioneering uncharted territory. In the face of fierce competition, fear, and the relentless pursuit of profitability.
💎 Data visualization cheatsheet
There are many ways to visualize data, and it can be hard to choose the right type for your data. Visual vocabulary is a nice summary of popular visualizations for different tasks (i.e. correlation, ranking, distribution).