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Kimi K3.1 Pro Review: Near-Opus Quality at 1/5th the Cost

Rick W 0 9
Claude Opus 5.5 and GPT-6 Astra are strong performers in coding and complex reasoning. But how does Kimi K3.1 Pro compare? Moonshot AI’s latest model delivers competitive coding-agent benchmark results, a 1-million-token context window, and promising performance on financial tasks. Beyond the headline numbers, the real question is how well it handles complex, multi-step tasks […] The...

The Foundations of Scalable AI

Rick W 0 8
A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one. This session from MIT Technology Review’s EmTech Future conference explores what it takes to build that foundation in a highly regulated environment and how a responsible, trustworthy implementation can turn emerging capabilities, including agentic…

Making the case for context-aware AI

Rick W 0 11
Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the right one. As companies look to move AI from experimentation into everyday operations, the challenge ahead…

AI’s hidden storage bill: What inference leaves behind

Rick W 0 8
Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds? Much of the back-end data that’s generated—from billions of daily prompts, images, and videos—needs…

The new economics of enterprise AI

Rick W 0 7
Imagine your company just discovered electricity. At first only a few machines run on it, and nobody worries about efficiency — consumption is low and the value is obvious. But once electricity becomes infrastructure, every process depends on it, and the question changes from “can we use it?” to “how efficiently are we using it?”…

AI adoption by industry shows what other sectors can learn

Rick W 0 7
The current narrative around artificial intelligence in the workplace is largely driven by Silicon Valley. But treating the tech sector as an island misses the actual trends in technology adoption–tech is just the first industry in line. As generative AI and automation tools mature, the shifts currently reshaping software engineering and product management will inevitably…

A visit to Samsung’s massive new semiconductor hub

Rick W 0 8
Generative AI models run on powerful chips known as GPUs, which depend on stacks of specialized memory chips packaged with the processor. To meet growing demand for memory, Samsung is building a massive new semiconductor manufacturing complex in Pyeongtaek, South Korea. Three fabs already operate around the clock, and a fourth is coming online. Construction…

Making the internet better for AI agents might make it worse for everyone else

Rick W 0 9
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Until recently, you could divide internet users into just two categories: bots and people. Websites have long allowed bots to perform automated tasks, like capturing the content of web pages, but rules…

“We were looking at it wrong”: The explosive claim that’s upended the AI world

Rick W 0 9
“I think I have good news about the nature of neural networks.” With those simple words of optimism, Nick Cammarata, a researcher at the AI startup Goodfire, kicked off a 26,000-word blog post that has knocked the AI world on its head, sparking wild speculation as well as cautious (and not-so-cautious) celebration. Cammarata’s claim is…