The article explores a psychological phenomenon where a person recognizes the need to complete a task but cannot motivate themselves to do so, despite having time, resources, and knowledge. The author proposes a model where internal motivations and goals conflict, leading to a paralysis of action.
The chart will appear after repeat observations. The current metric comes from the source.
11 source pointsReal observations only. History before source connection is not reconstructed.
This model can help understand why people face difficulties in completing tasks, even when they recognize their importance.
Robin Hanson did not invent the concept of a martingale process, but he popularized the idea that probability assignments should form a martingale. This concept is linked to the Efficient Markets Hypothesis, which states that short-term price movements cannot be predicted. The idea was developed earlier, but Hanson contributed to its visibility.
2 days agoLessWrongThe text discusses the importance of paying attention to experiences and how personal preferences and perspectives shape what we find meaningful. It highlights the challenge of relying on others' opinions about what to focus on, as individual 'umwelt' (perceptual worlds) differ, and emphasizes the value of understanding one's own preferences to discover unique sources of delight. The author references C.S. Lewis's idea of an intangible connection between beloved books and experiences that others may not perceive.
5 days agoGitHubStrata is an inference engine that allows Qwen3.8-Flash-Next to run on consumer hardware with a one-click install for Windows and Linux. It supports OpenAI and Anthropic APIs on localhost and includes optional image input.
16 days agoHugging FaceHugging Face model card for autotrust/JEV-27B-VL. Task: text generation from image and text inputs. Follow the source link for details.
10 days agoHacker NewsWhistle is a speech-to-text model with a size of 16.9 MB.
2 days agoCloudflare BlogWe are expanding the Clef decision model family with Clef-omni, natively processing audio, video, images, and text in a single pipeline. We’ve also lowered Clef-flash pricing and boosted Clef inference speeds by up to 2.0x.
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