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โWhy AGI Will Not Happenโ @Tim_Dettmers
https://t.co/HBXAn0AJkp
This essay is worth reading. Discusses diminishing returns (and risks) of scaling. The contrast between West and East: โWinner Takes Allโ approach of building the biggest thing vs a long-term focus on practicality.
โThe purpose of this blog post is to address what I see as very sloppy thinking, thinking that is created in an echo chamber, particularly in the Bay Area, where the same ideas amplify themselves without critical awareness. This amplification of bad ideas and thinking exuded by the rationalist and EA movements, is a big problem in shaping a beneficial future for everyone.โ
โA key problem with ideas, particularly those coming from the Bay Area, is that they often live entirely in the idea space. Most people who think about AGI, superintelligence, scaling laws, and hardware improvements treat these concepts as abstract ideas that can be discussed like philosophical thought experiments. In fact, a lot of the thinking about superintelligence and AGI comes from Oxford-style philosophy. Oxford, the birthplace of effective altruism, mixed with the rationality culture from the Bay Area, gave rise to a strong distortion of how to clearly think about certain ideas.โ
A fix is coming to AI Discover spam. And it's tied to expired domains? Very interesting -> Google promises Discover โfixโ as more fake AI stories top rankings
"A Google spokesperson said: โWe keep the vast majority of spam out of Discover through robust spam-fighting systems and clear policies against new and emerging forms of low quality, manipulative content."
โWeโre actively working on a fix that will better address the specific type of spam thatโs being referenced here, maintaining our high bar for quality in Discover.โ https://t.co/I5IC8zH7hz
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Repost + comment 'AUDIT' to get instructions + spreadsheet.
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Did you know that Googleโs global traffic declined 7.91% after ChaptGPTโs release?
Find 24 more interesting Google search statistics for 2025 here โ๏ธ
https://t.co/Q7gNmRFOxb.
How Do AI Content Detectors Work (and ways they can fail)? A must read if you work with content and leverage AI - @thinking_slow asked a data scientist, Yong Keong Yap, and he goes through:
1. Statistical detection (old school): Word frequencies, N-gram frequencies, Syntactic structures, Stylistic nuances.
2. Neural networks (trendy deep learning methods): Neural networks have become the de-facto method for AI content detection.
3.ย Watermarking (hidden signals in LLM output): The idea is to get an LLM to generate text that includes a hidden signal, identifying it as AI-generated.
As well as 3 ways AI content detectors can fail. Check them out:
https://t.co/e3I7soBqGh
Has anyone noticed a big drop in referring domains in Search Console? I checked 4-5 websites and saw the same issue. Why is no one talking about it? Will this affect current rankings? @JohnMu ๐
#seo#Google#searchengine#backlinks#links