This Git repo has a list of hidden ESPN APIs that might be useful for automatically pulling data.
The past few days have taught me it’s a lot harder to get floating projects right than I thought it would be.
It’s a little worse than mismanagement:
Mao decreed that efforts to multiply grain yields and bring industry to the countryside should be increased. Local officials were fearful of Anti-Rightist Campaigns and they competed to fulfill or over-fulfill quotas which were based on Mao’s exaggerated claims, collecting non-existent “surpluses” and leaving farmers to starve to death. Higher officials did not dare to report the economic disaster which was being caused by these policies, and national officials, blaming bad weather for the decline in food output, took little or no action.
The government took what food there was from the farmers because they were trying to swing their dicks around and impress the boss. It’s like the Irish potato famine, but with rice.
Llamafile is a great way to get use an LLM locally. Inference is incredibly fast on my ARM macbook and rtx 4060ti, its okay on my Intel laptop running Ubuntu.
Eventually everyone has to go full Battlestar Galactica
The 0.1% definitely blow things out of the water comparatively speaking.
It’s still important for the 99.9% to know where our co2 emissions are coming from so we can find ways to reduce our own emissions and put pressure on the 0.1% to reduce theirs as well.
Spreading awereness is also important so more people will know the impact their choices have on global co2 emissions which will hopefully encourage them to make smarter choices and pressure the 0.1% and corporations to reduce their emissions as well.
A simpler answer might be llamafile if you’re using Mac or Linux.
If you’re on windows you’re limited to some smaller LLMs without some work. In my experience the smaller LLMs are still pretty good as chat bots so they might translate well.
This seems like a slightly different version of llamafile
I like to imagine this was thought up by some ambitious product manager who enthusiastically pitched this idea during their first week on the job.
Then they carefully and meticulously implemented their plan over 3 years, always promising the executives it would be a huge pay off. Then the product manager saw the writing on the wall that this project was gonna fail. Then they bailed while they could and got a better position at a different company.
The new product manager overseeing this project didn’t care about it at all. New PM said fuck it and shipped the exploit before it was ready so the team could focus their work on a new project that would make new PM look good.
The new project will be ready in just 6-12 months, and it is totally going to disrupt the industry!
How the fuck did Noah get those turkeys?