I love the idea. I do miss the early twitter vibes.
Any conversation
Last year I wasn't feeling too good.
I turned forty, waited for surgery, and was hurt by my own colleagues. So I dealt with things. Maybe not so well, but to the best of my ability.
One of the consequences was that I got a bit heavy. My body changed, and I didn't feel like myself. It was a problem for future me. So now I am here with this little belly of mine. We're not enemies, but I decided it's time to part ways.
So I count calories. Maybe not so well, but to the best of my ability.
中国的开源模型在最高意志的主导下,在预训练数据阶段,就筛除大量对其不利的内容,sft阶段构建的数据掺入大量替其辩护的内容。急需一个纠偏数据集用于微调
Under the overarching influence of a single, powerful force, China's open-source models filter out a large amount of content unfavorable to their designs during the pre-training stage, and then incorporate a significant amount of content defending their designs into the data constructed during the SFT stage. A corrective dataset is urgently needed for fine-tuning.
Developed a Vinboard (my pinboard.in clone) shortcut, works really well. On iOS it lives in Share menu, on macOS in the Dock. Click sends the current browser page (Safari, Chrome, Zed, Firefox) for bookmarking. On the server side Jev decides tags from 60 least recently used; and archival opens a real Chrome to save the whole page for posterity.
Unlimited API limits and direct requests to the database.
Pinboard charges for much less functionality $22/year.
signals. thinking about shifting my mental framework to identify signals instead of waiting for concepts to be assembled. exploring the amount of energy and opportunities for distractions through the operations of processing what just happened and what is happening to short circuit latent and unnecessary systems. cut through the assembly processes and identify the raw signals. recognizing that naming these "raw signals" is misleading. maybe, shifting observability lower in the stack.


