you said it was wrong to say that there were sensors. it wasn’t. you also bait and switch: my objection wasn’t purely to title; it was to framing of blog, in screenshot. suggestion was that better title could have reduced misunderstanding, not that original title was false.
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Replying to @GaryMarcus
As I said, they did not just use one object -- they used five progressively more general cubes over the course of the project. Not all of them have sensors. If they had hidden the limitations in the paper, I'd agree with adjusting title/abstract. But it's all in the blog post.
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Replying to @jsuarez5341
yes i know about the five variants on a cube; it’s still essentially one object. i responded to this elsewhere. since you still have neither addressed my key points nor apologized for inaccurately claiming i made an error on the sensors, we are done.
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Replying to @GaryMarcus @jsuarez5341
as postscript watch the openai video: NOTHING that i say on my slide is mentioned there. no mention of sensors; no mention of dropped cubes; no mention of innate components. as a future PhD, do you think that is ok?
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Replying to @GaryMarcus
That video is a nontechnical summary of the work. The discussion of limitations is exactly where I would expect it -- in the main body of the blog post.
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Replying to @jsuarez5341
sensors don’t appear in the main part of the blog; they are only in the table. and NOTHING in the blog says that performance drops to ZERO on fully scrambled cube when you remove the sensor. do correct me with a quote if I am wrong, or correct your inaccurate claims if I am not
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Replying to @GaryMarcus
I read the paper first. While they could afford to add a line to the blog clarifying which cube was used for the main result, your original statement was substantially more misleading than this omission.
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Replying to @jsuarez5341 @GaryMarcus
Let's make a deal: I'll delete and revise my initial tweet once you revise your slide to make explicit that the blog clearly presents all limitations, excepting the use of sensors, which is currently left to the paper.
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Replying to @jsuarez5341
how about you focus on the FRAMING of the blog, and not fine print most people would not follow, eg reference to a symbolic algorithm that is innate without explaining what it is? or focus on the video, which made none of this clear but was watched by 10s of thousands?
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Replying to @GaryMarcus
The framing is towards increasingly general artificially intelligent systems. That's what OpenAI is all about. Their first release was already impressive, and they've since gone through four iterations of progressively more general cubes.
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not what i meant. framing = 1st page of blog, shown in screenshot.
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Replying to @GaryMarcus
That's a tiny summary paragraph, not even the length of a typical abstract. I would not expect clear technical limitations of anything from a crop that small, though actually the video does frame their high level trend towards generality.
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