Sieyk
@sieyk.bsky.social
Does this support asyncio? I can see this being very helpful if it doesn't block.
May 13, 2025 at 6:23 AM
Does this support asyncio? I can see this being very helpful if it doesn't block.
Seems to just be some kind of error page when opened with the GitHub app.
I was able to confirm that it works if I copy the URL and paste it into chrome. 🤷🏼♂️
I was able to confirm that it works if I copy the URL and paste it into chrome. 🤷🏼♂️
May 13, 2025 at 6:17 AM
Seems to just be some kind of error page when opened with the GitHub app.
I was able to confirm that it works if I copy the URL and paste it into chrome. 🤷🏼♂️
I was able to confirm that it works if I copy the URL and paste it into chrome. 🤷🏼♂️
Well, you'd be happy to hear about this: github.com/ariebovenber...
GitHub - ariebovenberg/whenever: ⏰ Modern datetime library for Python
⏰ Modern datetime library for Python. Contribute to ariebovenberg/whenever development by creating an account on GitHub.
github.com
May 13, 2025 at 4:55 AM
Well, you'd be happy to hear about this: github.com/ariebovenber...
If you're gonna do it in Python, why not use WinAPI? I found the main challenge with native Windows GUIs was the lack of scaling support.
May 13, 2025 at 4:53 AM
If you're gonna do it in Python, why not use WinAPI? I found the main challenge with native Windows GUIs was the lack of scaling support.
The third dimension is actually competence
January 8, 2025 at 4:20 AM
The third dimension is actually competence
Did you say no more RC?
December 28, 2024 at 8:13 PM
Did you say no more RC?
What resources are you using to learn? Also, are you making use of LLMs to curb the learning curve of lifetimes?
December 28, 2024 at 6:45 AM
What resources are you using to learn? Also, are you making use of LLMs to curb the learning curve of lifetimes?
There seems to be a correlation here related to CMake... Hmm
December 24, 2024 at 6:47 AM
There seems to be a correlation here related to CMake... Hmm
CMake is one of those things I struggle to comprehend both its existence and scale of use.
December 23, 2024 at 4:59 PM
CMake is one of those things I struggle to comprehend both its existence and scale of use.
This looks like it would output those handy digital references
December 23, 2024 at 4:57 PM
This looks like it would output those handy digital references
I mean, emulator vs simulator.
Unless the game was leveraging the bug to work, I don't see a problem.
Unless the game was leveraging the bug to work, I don't see a problem.
December 23, 2024 at 4:53 PM
I mean, emulator vs simulator.
Unless the game was leveraging the bug to work, I don't see a problem.
Unless the game was leveraging the bug to work, I don't see a problem.
I don't think I ever internalised the term. My eyes always glazed over whenever someone said sideload.
December 23, 2024 at 4:45 PM
I don't think I ever internalised the term. My eyes always glazed over whenever someone said sideload.
Row, Row, Row your boat 🤣
December 23, 2024 at 1:57 AM
Row, Row, Row your boat 🤣
There are people who are allergic to using type hints in Python, but doing so lets static code analysis catch almost all runtime problems.
Use VSCode or Cursor with Python and use the associated extensions. Don't drink the Vim Kool aid unless you're very proficient with Python.
Use VSCode or Cursor with Python and use the associated extensions. Don't drink the Vim Kool aid unless you're very proficient with Python.
December 22, 2024 at 8:50 AM
There are people who are allergic to using type hints in Python, but doing so lets static code analysis catch almost all runtime problems.
Use VSCode or Cursor with Python and use the associated extensions. Don't drink the Vim Kool aid unless you're very proficient with Python.
Use VSCode or Cursor with Python and use the associated extensions. Don't drink the Vim Kool aid unless you're very proficient with Python.
Python packing recently entered a renaissance with UV. Definitely worth checking out of this was causing you grief.
December 22, 2024 at 8:46 AM
Python packing recently entered a renaissance with UV. Definitely worth checking out of this was causing you grief.
Yeah that's the rule of Python. If you're writing pure Python you're doing it wrong 🤣
December 22, 2024 at 8:44 AM
Yeah that's the rule of Python. If you're writing pure Python you're doing it wrong 🤣
At first it looks random, but there clearly is some tiling.
I'll take it for $75 million!!!!
I'll take it for $75 million!!!!
December 22, 2024 at 8:41 AM
At first it looks random, but there clearly is some tiling.
I'll take it for $75 million!!!!
I'll take it for $75 million!!!!
I've had the same experience when doing research. It often goes on a total tangent and forgets the point.
December 22, 2024 at 8:40 AM
I've had the same experience when doing research. It often goes on a total tangent and forgets the point.
Ah, great pick up! I mistook o1-preview as o1.
I do find it strange though that 4o was still leading the pack in terms of general usage. Especially since their justification for the new naming scheme was that it supposedly was such a huge improvement that it warranted a new form of categorisation.
I do find it strange though that 4o was still leading the pack in terms of general usage. Especially since their justification for the new naming scheme was that it supposedly was such a huge improvement that it warranted a new form of categorisation.
December 22, 2024 at 8:38 AM
Ah, great pick up! I mistook o1-preview as o1.
I do find it strange though that 4o was still leading the pack in terms of general usage. Especially since their justification for the new naming scheme was that it supposedly was such a huge improvement that it warranted a new form of categorisation.
I do find it strange though that 4o was still leading the pack in terms of general usage. Especially since their justification for the new naming scheme was that it supposedly was such a huge improvement that it warranted a new form of categorisation.
Yeah the way these models are trained results in very little novel synthesis. They are great when you bias the topic, such as when writing a story. However when entertaining novel concepts not defined in their training data, they immediately default to dogma. AGI is nowhere in sight.
December 22, 2024 at 8:35 AM
Yeah the way these models are trained results in very little novel synthesis. They are great when you bias the topic, such as when writing a story. However when entertaining novel concepts not defined in their training data, they immediately default to dogma. AGI is nowhere in sight.