Researchers Propose Internal Embodiment For AI - Let's Data Science
<a href="https://news.google.com/rss/articles/CBMikgFBVV95cUxPVWVaVHBvNXo5a1pVYmtEREwwRm5JVHVQenVrUExPRUNGTndGaVYyZXRSTnZneXBVdTJwVHlRd3c3UE1yWTVPdEtKdXdBRDVqSE0zZjh1Sm9hUllxNWV2ZzNaWWY1SGRYVFZ6LTd1SW5EZUNSbEM2aHJrTGgyYlFkZlUxbXNBcW1iZlhFcnJFdjduUQ?oc=5" target="_blank">Researchers Propose Internal Embodiment For AI</a> <font color="#6f6f6f">Let's Data Science</font>
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Estimates of the expected utility gain of AI Safety Research
When thinking about AI risk, I often wonder how materially impactful each hour of my time is, and I think that this may be useful for other people to know as well, so I spent a couple of hours making a couple of estimates. I basically expect that a tonne of people have put a bunch more time into this than me, but this is nice to have as a rough sketch to point people to. I'm going to make 3 estimates: an underestimate, my best-guess estimate and (what I think is) an overestimate. Starting facts [1] : Currently 8.3 Billion people on planet earth Current median age: 31.1 years Current life expectancy: 73.8 years I am going to commit statistical murder and assume this means that everyone on the planet lives ~42.7 years from this point onwards. Underestimate: 40 years of life left/person Media
XENONOSTRA RESEARCH NOTES ALGEBROS: An Algebraic Meta-Language for Code Structure Extraction and…
Xenonostra Research Notes --- EPISTEMIC MAP [K] Known — strong evidential support from existing literature [A] Assumed — treated as true… Continue reading on Medium »
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[D] How to break free from LLM's chains as a PhD student?
I didn't realize but over a period of one year i have become overreliant on ChatGPT to write code, I am a second year PhD student and don't want to end up as someone with fake "coding skills" after I graduate. I hear people talk about it all the time that use LLM to write boring parts of the code, and write core stuff yourself, but the truth is, LLMs are getting better and better at even writing those parts if you write the prompt well (or at least give you a template that you can play around to cross the finish line). Even PhD advisors are well convinced that their students are using LLMs to assist in research work, and they mentally expect quicker results. I am currently trying to cope with imposter syndrome because my advisor is happy with my progress. But deep down I know that not 100%
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