86 karma · joined April 10, 2023
In that sense, you’d give the LLM the purpose of the paper, the field you’re writing in, and the relevant data from your lab notebook. Personally, I never enjoyed writing manuscripts — most of the time goes into citing every claim and formatting everything correctly, which often feels more like clerical work than communicating discovery.
I don’t mind if LLMs help write these papers. I don’t think learning to mimic this stylistic form necessarily adds to the process of discovery. Scientists should absolutely be rigorous and clear, but I’d welcome offloading the unnecessary tedium of stylized writing to automation.
The perception that AI tools make development faster is perhaps due to the part we spend a lot of time with thinking about how to write (like commenting) is solved instantly.
I think a lot of the delay is that it’s a new class of tool, and just like last gen IDE it takes a bit of getting used to and know where their strengths are, and know how to effectively fit it into your workflow.
I think the best analogy is myopia. Until glasses were invented, people with poor eyesight were very limited in what they can do. People with glasses were stigmatized (remember “four-eyes”?). We didn’t know what caused it. Then things became normalized and lens making techniques became so advanced and ubiquitous that it no longer became such a big deal to see people with glasses. Then things like contact lenses and surgical procedures that came along which can correct it, making the person with myopia indistinguishable from one without. We are now starting to reach a stage where people can prevent the condition from developing because we have a better understanding of the disorder (although there are a lot of snake oils out there).
ADHD is like myopia, which limits the range of things that people are capable of. We have imperfect tools like adderall which has a lot of unwanted side effects. My hope is that technologies like AI personal assistants geared toward helping people with ADHD will act as a way to augment these deficiencies, much in the way glasses have. We as a civilization simply did not reach that stage.
I really disagree with this statement. Language places heavy constraints on what can and cannot be expressed in poetry more than prose does. If poetry represents human emotion, then it should be easy to translate poetry to another language, but it’s not. Try using the same form of a poem and translate to another language and see if it has the same emotive effect - it’s really difficult to do so.
Poetry seems to express emotions because its constraints has limits on what can be conveyed effectively. As far as I understand, rhymes and meters used in poetry are more of mnemonic techniques from non-literate culture, like a check-sum or error correction mechanism. In post-literate culture, it’s merely a word play.
Maybe I just don’t like poetry.
There are many traits that are advantageous in one environment and not in another: for example, sickle-cell phenotype became prevalent in regions where malaria was common, because you are likely to survive the infection. But otherwise the individual is likely to suffer from sickle cell anemia. People who have low calorie requirement may survive a famine, but may suffer from obesity in calorie-rich environment.
Many things are hard enough for “normal” person who would not be perceived as having ADHD, but it’s more so for people with it. The expectations are set by the modern society, but the actual challenges for ADHD are naturally present - thus they are classified as disorder. It’s commonly debilitating enough to be recognized as one.
I understand if new CPU/GPU can outperform Nvidia and DeepSeek was developed using another GPU, but this is not the case. Lower requirement for higher performance historically never reduced the need for computational capacity. There is very poor reasoning for this move other than purely “technical” (trading-wise) reasons.
No one:
IT infra: let’s move our repo platform to SaaS!
Software “nerds” were the unsung heroes from the very early days of spaceflight. A good book on the involvement of software engineers during the Apollo Program is Mindell’s “Digital Apollo”.