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Cake day: June 13th, 2023

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  • I ran some basic calculations:

    I assumed that the child workers are making minimum wage, the adult workers are making $10 per hour (pay seems to be between $9.27-11.05 per hour), each shift has three people (two of which are child workers), and this is occurring during the summer when school is out.

    Using this I figured that if the store was run by 3 adults, each working 12 hour shifts (4 hours of OT), then paying the employees would cost $960 per day per franchise [2(3((8x10)+(4x20))) = 960]. For a store that employs 2 children and one adult per shift and doesn’t pay OT for the children the savings per day is about $292 per location [2(160) + 4(12x7.25) = 668, 960 - 668 = 292]. If they did pay OT to the children then the difference would be $176 [2(160) + ((8x7.25)+4(14.50)) = 784, 960 - 784 = 176]. So if we take these savings and multiply them across the 12 locations and then multiply that daily savings across the entire franchise by the amount of weeks off in the summer ≈ 11 then you get a total franchise savings of either $38,544 [292x12x11] without OT) or $23,232 [176x12x11] (with OT). All it takes is for them to do this for two summers and the fine becomes irrelevant. Not to mention that this doesn’t even count child labor usage during off school times.





  • They’re definitely reducing model performance to speed up responses. ChatGPT was at its best when it took forever to write out a response. Lately I’ve noticed that ChatGPT will quickly forget information you just told it, ignore requests, hallucinate randomly, and has a myriad of other problems I didn’t have when the GPT-4 model was released.




  • There a great Wikipedia article which talk about it. Basically AI has always been used as a fluid term to describe forms of machine decision making. A lot of the times it’s used as a marketing term (except when it’s not like during the AI Winter). I definitely think that a lot of the talk about regulation around “AI” is essentially trying to wall off advanced LLMs to the companies who can afford to go through the regulation paperwork while making sure those who are pushing for regulation now stay ahead. However, I’m not so sure calling something AI vs LLMs will make any difference when it comes to actual intellectual property litigation due to how the legal system operates.


  • This project might not be exactly what you’re looking for due to the limited amount of prebuilt models, but this is an interesting project nonetheless. It seems to run on a variety of hardware (even smartphones), however, you’ll need to compile your own models if there isn’t a prebuilt model available. Luckily at least Vicuna is included as a prebuilt model. There’s another model included called RWKV-Raven which is actually an RNN instead of a transformer that approaches its level of performance. Seems pretty interesting.