• 10 Posts
  • 48 Comments
Joined 2 years ago
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Cake day: July 9th, 2023

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  • Looking at the specs:

    Positives:

    • Higher refresh rate (with VRR) and slightly larger screen (so smaller bezel), higher resolution.
    • Hall effect joysticks
    • Possibly better speakers

    Negatives:

    • IPS instead of OLED display (but a good quality one at least)
    • Only one touchpad, and its tiny
    • Seems to be only 2 back buttons instead of 4 on the deck

    Neutral / unknown:

    • Long term support compared to official Valve devices (hopefully Valve is handling this for third party devices similar to Bazzite).
    • Price seems to be the similar to the Deck OLED model (depending on region)

    Going by the Verge review of the Windows version of the hardware, it seems the SOC of this isn’t that powerful (and may even be outperformed by the Deck when rendering at 720p on both systems with some games): https://www.theverge.com/reviews/617613/lenovo-legion-go-s-review-feels-good-plays-bad

    They did see framerates improve with Bazzite, so presumably the Steam OS release will have similar improvements.











  • Jumping around a room exhausting yourself is kind of the antithesis to that.

    I’m not sure what games you’re playing, but most are what would be considered light to moderate exercise (unless you’re playing fitness focused games at a high level), hardly something that is going to exhaust yourself. I’ll add that many VR games are standing or sitting experiences (or are room scale but require nothing more than walking).

    Nevertheless, there are barriers like the weight and heat of the headsets (and the price) so I don’t disagree that it’s not mainstream.







  • One issue I could see is using it not as a second opinion, but the only opinion. That doesn’t mean this shouldn’t be pursued, but the incentives toward laziness and cost-cutting are obvious.

    EDIT: One another potential issue is the AI detection being more accurate with certain groups (i.e. White Europeans), which could result in underdiagnosis in minority groups if the training data set doesn’t include sufficient data for those groups. I’m not sure if that’s likely with breast cancer detection, however.