They are forcing users to use adaptive thinking now and deprecating thinking.type: "enabled" and budget_tokens. But the web interface (claude.ai), does not support specifying the effort parameter.
> If the subscriptions are unprofitable, then just communicate honestly, raise the price or lower limits for new subscribers transparently, and grandfather in existing users.
This. Why do so many companies fail to get this? Anthropic's user base, in particular, is intelligent enough to understand their constraints.
Off topic, but I really like the writing style on your blog. Do you have any advice for improving my own? In an older comment[1], you mentioned the craft of sharpening an idea to a very fine, meaningful, well-written point. Are there any books, or resources you’d recommend for honing that craft? Thanks in advance.
Here is the data since the beginning of HN, where a new submitter is defined as a user whose account was created less than three months before the submission:
It makes the case that perfecting language prediction might be the path to AGI — because to predict language well, you have to understand the world it describes.
We’ve engineered movement out of our lives. We sit in chairs, stare at screens, and outsource physical effort to machines. Then we try to cram all our movement into 45-minute bursts a few times a week.
This is like eating only once a week and calling it a balanced diet. Most people are malnourished, not from lack of food, but from a lack of diverse, nutrient-dense movement.
> In this systematic review and meta-regression covering ~ 50 years of research data, we demonstrate that the magnitude of change in mitochondrial content, capillarization, and VO2 max to exercise training is largely determined by the initial fitness level. The ability to adapt to
exercise training is maintained throughout life irrespective
of sex and presence of disease. Larger training volumes (higher training frequency per week and larger number of training weeks) and higher training intensities (per hour of training, SIT > HIT > ET) are associated with greater
increases in mitochondrial content and VO2 max. Therefore, training load (volume x intensity) is a robust predictor of changes in mitochondrial content and VO2 max.
Increases in capillarization occur primarily in the early stages of exercise training (< 4 weeks) with ET, HIT, and SIT equally enhancing capillaries per fiber, while ET is
more effective in increasing capillary density (capillaries
per mm²) due to less pronounced muscle fiber hypertrophy.
[*] https://claude.ai/api/organizations/<ORG_ID>/chat_conversations/<CONV_ID>/completion