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Being “Confidently Wrong” is holding AI back

The reason humans are so useful is not mainly their raw intelligence. It’s their ability to build up context, interrogate their own failures, and pick up small improvements and efficiencies as they practice a task - "Why I don't think AGI is right around the corner", Dwarkesh Patel In this post, based on our recent experiences selling 7-figure AI deals to Fortune 500s and Silicon Valley tech cos alike, I'll discuss how "confident inaccuracy" seems to be at the heart of this problem. Being C

Being confidently wrong is holding AI back

The reason humans are so useful is not mainly their raw intelligence. It’s their ability to build up context, interrogate their own failures, and pick up small improvements and efficiencies as they practice a task - "Why I don't think AGI is right around the corner", Dwarkesh Patel In this post, based on our recent experiences selling 7-figure AI deals to Fortune 500s and Silicon Valley tech cos alike, I'll discuss how "confident inaccuracy" seems to be at the heart of this problem. Being C

Developers Say GPT-5 Is a Mixed Bag

When OpenAI launched GPT-5 last week, it told software engineers the model was designed to be a “true coding collaborator” that excels at generating high-quality code and performing agentic, or automated, software tasks. While the company didn’t say so explicitly, OpenAI appeared to be taking direct aim at Anthropic’s Claude Code, which has quickly become many developers’ favored tool for AI-assisted coding. But developers tell WIRED that GPT-5 has been a mixed bag so far. It shines at technica

Herbie detects inaccurate expressions and finds more accurate replacements

Herbie improving accuracy on the “Hamming” benchmark suite. Longer arrows are better. Each arrow starts at the accuracy of the original expression, and ends at the accuracy of Herbie’s output, in each case on random double-precision inputs. Herbie Project News The Herbie Developers Herbie is developed at UW PLSE, with contributions from a supportive community. The main contributors are Pavel Panchekha, Alex Sanchez-Stern, David Thien, Zachary Tatlock, Jason Qiu, Jack Firth, and James R. Wilc

FastVLM: Efficient Vision Encoding for Vision Language Models

Vision Language Models (VLMs) enable visual understanding alongside textual inputs. They are typically built by passing visual tokens from a pretrained vision encoder to a pretrained Large Language Model (LLM) through a projection layer. By leveraging the rich visual representations of the vision encoder and the world knowledge and reasoning capabilities of the LLM, VLMs can be useful for a wide range of applications, including accessibility assistants, UI navigation, robotics, and gaming. VLM

Alienware's 27-inch 280Hz QD-OLED monitor is now available for $550

Engadget has been testing and reviewing consumer tech since 2004. Our stories may include affiliate links; if you buy something through a link, we may earn a commission. Read more about how we evaluate products . Alienware has just released a pair of gaming monitors that offer affordability with very few compromises while using Dell's new AW30 design language. Announced earlier this year, the key model is the 27-inch AW2725D 280Hz QD-OLED QHD (2,560 x 1,440) monitor with one of the lowest price

Best Meat Thermometers for 2025

James Bricknell/CNET The most important part of any thermometer testing is accuracy. We weight this criteria most heavily when compiling entries to the best list, and it is the most scientific of the tests. We use a medical-grade thermometer as our baseline for accuracy and test the meat probe variance to that temperature. Ice water testing Testing the accuracy of a thermometer usually involves a cup, some ice cubes, and water. Due to the nature of water it can be a liquid and a solid at 32F