When my mother was fighting cancer, I recall the many disappointments of finding research shrinking tumours in animal models, only to find out the human research showing it didnt work in humans. This was in the 2010s, before llms, but when google search actually searched the web. Then, once you found something that seemed to work in humans, you were hit with the realization that ‘cancer’ is an umbrella term, and you need to account for cell type, and its numerous mutations.. I think the best approach is to collect a sample of the cancer, genotype it, test it against all known anticancer compounds, similar to how you’d deal with a bacterial infection sample, and then hope that the compound that worked for that specific cancer cell will work inside the human
I don't work in coding, but I do a lot of complex tasks that can be automated to some extent. In 2019 I spent more than a month painstakingly building an autohotkey script that would interact with a design app to build a Chinese language workbook with proper formatting, and create indexes. When the script was finally running on its own it felt like magic. Nowadays I use a mix of Claude code /codex/antigravity (I have the 20 Usd sub for each) to build very specific "one use" tools that save me countless hours. I can even be very specific about how to design those scaffolds so the flow just feels intuitive for me. It's insane. It feels like a cheatcode. I think the best use for Ai in a company is to build tools for the humans, not to replace those humans
We at HN: https://xkcd.com/2501/ to basically say that I think you might be considering low-effort what’s actually an attempt at simplifying - which is arguably higher effort
There’s an hypothesis that states we dream so we don’t lose visual processing neural connections. Similar to what happens in blind people: visual processing neurons are recruited to other sensory tasks due to lack of stimulation. My ed. guess is that dreaming probably serves multiple purposes
When a xiaomi 15 phone asks to scan your face for phone unlock, it specifically warns that a photo of you may be sufficient to unlock the phone. Not sure how it works with other brands/models, but i don’t think the way they are doing face verification is the right way to do it
The thing is, llm token frequency was derived from human writings like yours, and rlhf for good writing practices, like the emdash. So getting ’detected’ on good writing it’s unfortunately to be expected. My broken ESL english is much safer for now
My experience has been the same: flatout refusals no matter how i frame the health questions - very frustrating. Even psychology is out of scope. Pretty useless unfortunately
Audio 6.5 mm is as close as humanity got to a perfect connector. Unfortunately downsizing it to 3.5 mm removes the robustness of the female as it tends to eventually break