To understand why this matters, it helps to first understand how most language models generate text today. Standard large language models are autoregressive: they decode one token at a time in ...

https://blog.google/innovation-and-ai/technology/developers-tools/multi-token-prediction-gemma-4/?linkId=61725841 Today’s large language models operate ...

What if every decision you made left behind an echo – an imprint of your past actions, repeating endlessly? In Causal Loop, players don’t just solve puzzles—they navigate a fractured reality that is ...

Over a decade ago, when I was first starting to pretend I could write about quantum mechanics, I covered a truly bizarre experiment. One half of a pair of entangled photons was sent through a device ...

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...

be able to use counterfactuals to express and interpret causal queries; be able to judge when standard statistical methodology is appropriate for causal inference, and when it is not; be able to use ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When OpenAI’s ChatGPT first exploded onto the scene in late 2022, it sparked a global obsession ...

In a crowded online education space filled with expensive, time-consuming coding bootcamps, one program is making waves for redefining what "online education" should look like. The question many ...

At-a-Glance: Refinery automation integrates DCS/PLC/SIS, analyzers, APC/MPC, and real-time optimization to maximize throughput, cut energy and giveaway, and protect assets. The core is ...

As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...

A hot topic among restaurant operators at this year’s National Restaurant Association Show was cutting costs. This is no surprise given today’s highly competitive and economically challenging ...