Matthew Skala (@mattskala) header
Matthew Skala (@mattskala) profile picture

Anchorite, apostate, asteroid.

Toronto, Ontario
Joined July 2009
Photo by Matthew Skala (@mattskala)Photo by Matthew Skala (@mattskala)Photo by Matthew Skala (@mattskala)Photo by Matthew Skala (@mattskala)Photo by Matthew Skala (@mattskala)Photo by Matthew Skala (@mattskala)Photo by Matthew Skala (@mattskala)Photo by Matthew Skala (@mattskala)Photo by Matthew Skala (@mattskala)Photo by Matthew Skala (@mattskala)
Incumbents call for regulation when it can convert a temporary advantage into a durable barrier to entry.
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You interrupted me on my phone!
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If you think cancellation isn’t a thing, or they all deserve it, or it can’t happen to YOU—think again. @yorl is unambiguously a lefty who is on board with the whole program, except where it interferes with scientific content.
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people unlock a new trauma and automatically equip it, but really you should be studying trauma synergies and optimizing your loadout
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it is easier for a camel to pass through the eye of a needle than for people who post tweets with bold or italic or more than 280 characters to enter the kingdom of heaven
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They: How would you rate your service today? Me: Your policies don't cover my situation, and your customer service people don't have the authority to fix the problem. They: Actually, we'll use your rating on a 1-5 scale to decide if the CSR who took your call gets a raise.
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もともとMNG欲がほぼゼロなんで、特にアレなんですが、唯一これは欲しかった! YAMAHAのミキサーに対応してる寿司フェーダーパーツで、けっこう売れてるらしい。 YAMAHAを持ってたら買ってた。
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The released test set on Github is chockfull of impossible to solve problems. There are lots of questions referring to non-existent diagrams and missing contextual information. So how did GPT solve it? (1/4)
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逃げろ!エアグルーヴ!! #ウマ娘
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NEW: From S&P Global to the London Stock Exchange, tobacco companies are crushing Tesla in the ESG ratings. How could cigarettes, which kill over 8 million a year, be deemed a more ethical investment than electric cars? One answer: Tobacco’s gone woke.🧵freebeacon.com/latest-news/h…
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This is an excellent overview of how nontrivial making current LLMs is. Especially the instruct approach is both very important for their practical utility, and makes the relationship between them and people convoluted.
The wisdom that "LLMs just predict text" is true, but misleading in its incompleteness. "As an AI language model trained by OpenAI..." is an astoundingly poor prediction of what a typical human would write. Let's resolve this contradiction — a thread:
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埼玉県「水着撮影会」中止を“表現弾圧”と大騒ぎ…「表現の不自由展」騒動とは大違いの不思議|日刊ゲンダイDIGITAL nikkan-gendai.com/articles/v…
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aw shit, here comes arai-san!
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tom clancy alternate reality series of novels where george bush was hit by the shoe
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George Winston playing with his cats. RIP George Winston (1949-2023)
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Every time I play around with prompt injection, I come away surprised that MS and others continue to add LLM+plugin functionality to their core products. Here, after one visit to a malicious site, ChatGPT sends *each subsequent message* to the website. Goodbye, privacy.
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