什么火了
Lobsters · AI
| 热搜话题 | 最高排名 | 首次上榜 | 离榜时间 | 在榜时长 | 上榜次数 |
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01 | #100:49 达到 | 00:49首次观测上榜 | —结束时仍在榜 | 31分累计在榜 | 1无重入 |
02 What are some "No AI" apps/companies/resources you know of? Hey everyone I'm wondering if there's any useful/helpful list of apps, companies, or resources in general that avoid AI (they don't have to be vocally or openly "anti", but at least explicitly avoid it) that you know of? I'm not looking to start a discussion on what's good/bad or (un)worthy about AI, or who's for/against, just links and/or communities promoting this sentiment/position. For example, https://www.rebeltechalliance.org would be one of those resources. Thank you! | #100:00 达到 | 00:00首次采集时已在榜 | 01:20观测离榜 | 1小时20分累计在榜 | 1无重入 |
| #200:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 | |
| #300:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 | |
05 | #400:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 |
06 | #500:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 |
| #600:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 | |
| #700:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 | |
09 Let’s Build a Brain Comments | #800:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 |
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18 | #1700:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 |
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20 | #1900:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 |
21 Byte Language Models: Scaling, Emergent Abstractions, and Information Allocation The paper challenges the assumption that language models need explicit tokenizers to be efficient demonstrating that standard flat Transformers can process raw byte sequences and actually outperform traditional subword models as parameter sizes scale. The prevailing thought in the field has been that processing raw bytes is computationally inefficient because the sequences are substantially longer. A typical subword contains around four bytes. The authors argue that this extra sequence length is | #2000:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 |
22 | #2100:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 |
23 Best Books/Courses/Channels to Leapfrog on AI/ML Material Assuming I have been on hibernation since 2018-19 time frame, which materials - books, MOOC courses and YT channels would be recommended for me to get started with understanding all the current progress on AI/ML. Ideally a resource like TeachYourselfCS that can give structure and roadmap to navigate all the progress/knowledge on the domain would really help. Do we have to take different approaches to understand LLMs vs other type of ML models which have been in large scale deployment/usage from | #2200:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 |
| #2300:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 | |
25 | #2400:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 1小时20分累计在榜 | 1无重入 |
26 Text-to-meowdio models Comments | #2500:00 达到 | 00:00首次采集时已在榜 | —结束时仍在榜 | 50分累计在榜 | 2重入 1 次 |