The discussion was about threats to the open web due to the emergence of large language models (LLMs). Large parts of the web have always been open.

For much of the world, technology has become so intertwined with our day-to-day lives that it influences everything.

Your competitors aren’t building perfect code either. If you spend 6 months building the theoretically perfect architecture, they’ll ship something “good enough” in 2 months and eat your lunch. You’ll have beautiful code that nobody uses.

After three years of immersion in AI, I have come to a relatively simple conclusion: it’s a useful technology that is very likely overhyped to the point of catastrophe

All tech companies have to choose what to build, but approaches vary — from top-down projects to bottom-up research and experimentation. Your company is probably somewhere on this gamut, but it’s not always a deliberate choice. It’s important to realize that these are not the only two possible models, and that there isn’t necessarily just one right answer.

At Figma, we believe AI’s role is to help teams explore and imagine more. Every new model we bring to our platform gets evaluated through the same lens: Does it implement your designs with accurate fidelity? Does it take more of the busywork off your plate? Will it expand your team’s creative possibilities?

Peek inside Netflix’s engineering culture with CTO Elizabeth Stone, as she shares how the company has no formal performance reviews, learns from failures, and builds at a global scale.

Nearly two years ago we kicked off the Gemini era, one of our biggest scientific and product endeavors ever undertaken as a company. Since then, it’s been incredible to see how much people love it. AI Overviews now have 2 billion users every month. The Gemini app surpasses 650 million users per month, more than 70% of our Cloud customers use our AI, 13 million developers have built with our…

Google’s Gemini 3.0 is quietly rolling out to select users ahead of an official announcement expected in late October 2025. Early testers report major improvements in coding, multimodal reasoning, and performance, positioning it to compete directly with ChatGPT and Claude.

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