Morgan Herlocker @morganherlocker
rf, simulation, geometry, etc. https://t.co/mTwfHwzmZQ 🛰️🤖 @StarfishSpace morganherlocker.com Seattle, WA Joined February 2011-
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I just opened up a relatively small project (my blog repo, which has 175 MB of static content) in vscode and visual studio and here's the cold start memory usage without opening any files: - Visual Studio Code: 589.4 MB - Visual Studio 2022: 732.6 MB
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After 5 years, I'm moving on from SpaceX to focus on other projects. I feel incredibly lucky for the time I spent learning from my brilliant coworkers during the rollout of Starlink, helping with the design, build, launch, & ops of ~7,000 satellites, linking millions to the net.
Morgan Herlocker retweeted
Mechazilla has caught the Super Heavy booster!
Data analysis is generally not done offline on embedded devices, so what could you achieve with a larger size, like 25MB uncompressed (1 min YT video at 720p)? - 8k satellite texture (8MB) - 8k elevation texture (2MB) - 1.5M vertices (12MB) - 250k labels (3MB)
I'm intrigued by tinyworldmap, an offline friendly global basemap that weighs in at roughly the size of a single vector tile (<450KB). Seems great for data analysis, perhaps with a bit more detail. Format is gzip JSON, so there's more room for shrinking. tinyworldmap.com
Morgan Herlocker retweeted
Prototype @threejs hud with Web Audio analyser. User finds a sound in the sphere, points to it, hears/sees it. Naturally, Wii Shop theme.
Morgan Herlocker retweeted
Starship made a controlled reentry, successfully making it through the phases of peak heating and max aerodynamic pressure and demonstrating the ability to control the vehicle using its flaps while descending through the atmosphere at hypersonic speeds
@kylebarron2 Paper had me nodding along throughout. Bandwidth is underutilized these days, largely because it's a cost driver using CDNs and cloud compute for consumer services. For analysis, being able to memcpy at speed of io w/ very basic infra is often worth skimping on compression.
@antoniolocandro completely unsupported, even with a working phone
my phone died and there is no way to transfer the trained dosage model used by my insulin pump to a new device - it must learn again from scratch. the alg itself is not public, even in fda approval docs, perhaps explaining why a model export/transfer feature does not exist.
@tmcw barebones zero-dep python docker image: ~700-1000MB. Max allowable browser mem utilization: ~500-1000MB. I think we'll see some sort of micropython thing requiring C-style mindset, but not what people are imagining with freewheeling deps. This applies to every lang in some way.
a Brother HL-L2340DW printer (top result when searching for laser printer) can print 26 pages per minute at 600dpi. this hits the single frame human sensory limit, but at <0.5fps, and in a format that cannot be practically consumed at greater than 0.1fps. fps>res at this density.
in addition, a few more multiples can be unlocked through compression (2x from typical gzip ratio?) and buffering data on web workers (4-8x cores on typical device?), so there's really no hard limit to 144hz at tufte's cited world-record single frame data density.
experimenting with a round-robin-sampling benchmark for testing various browser scaling constraints, attempting to make these numbers more visible real time.
Do not want. GeoJSON is perfect as is. A dependency-free (sorry, no arrow/proto) binary alternative would still be welcome.
@tmcw "GeoJSON has intentional restrictions that prevent or limit its use in certain geospatial application contexts. (...) (JSON-FG) is a proposal for GeoJSON extensions that provide standard ways to support such requirements." 🫠
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