I have been pasting my chess games into chatgpt asking for feedback and it has given me much better feedback than chess dot com ever has
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After using Claude and Chatgpt interchangeably for the past few weeks, I feel Claude is meaningfully better but only because of its willingness to set up sandboxes and actually run and test stuff on its end. That’s extremely convenient and makes delivery a lot better. But no meaningful difference between the models themselves imo.
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Been using jujutsu vcs for about one day and already pretty impressed by the productivity increase it resulted in. If you use git and do a lot of rebasing, branching, etc on messy local history, it seems extremely useful. Will keep using.
https://github.com/jj-vcs/jj
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Top casts
After using Claude and Chatgpt interchangeably for the past few weeks, I feel Claude is meaningfully better but only because of its willingness to set up sandboxes and actually run and test stuff on its end. That’s extremely convenient and makes delivery a lot better. But no meaningful difference between the models themselves imo.
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There has been a lot of spam on XMTP these past few days, so wouldn’t it be cool to have:
staked and non-staked addresses, where users can choose in the app layer to only receive messages from staked addresses.
If the adress receives enough complaints (governed by smart contract) the address is slashed.
?
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The Warpcast team updated their dataset of user spam labels a few hours ago. They have been doing this weekly for about a month and I have been going through the data on each release.
This update was probably the biggest change in the data in terms of the distribution of spam labels: After the previous release only ~9% of users with labels were labeled as unlikely to be spam and 42% as might engage in spam. The remaining 49% were labeled as likely to engage in spam (these are the three labels that exist - a user can also have no label).
After this release 18% of users are labeled as unlikely - doubled from before this update - and only 35% as might be spam. So there has been a big increase in users labeled as unlikely to be spam, which is coming from a relabeling of existing users. About 19k users who were previously labeled as likely to be spam and ~29k users who were labeled as might be spam are now labeled as unlikely.
->
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If you’re wearing an ar device and look at a qr code, info will probably just immediately pop up in your field of view. Makes qr codes much more accessible and useful for any kind of real-world information, like train schedules etc.
I wonder how the physical world will change as a result of people wearing ar.
