DrBenCarson

8 ms·

61.
by DrBenCarson 1y ago
Lol exactly. "LLMs write good code if you make small changes and write tests!" Groundbreaking stuff
62.
by DrBenCarson 1y ago
Geocities = deity
63.
by DrBenCarson 1y ago
You can try Cline is VSCode as well, many engineers swear by it
64.
by DrBenCarson 1y ago
“Hmm seems we’re very far off course but we have thousands of lines…I can’t figure all that out rn…press magic thinking button”
65.
by DrBenCarson 1y ago
Private Cloud Compute has been live in production for 8 months
66.
by DrBenCarson 1y ago
Yep not having to build off a major fork will certainly help you move fast
67.
by DrBenCarson 1y ago
Look I’m a first generation American with a sister 3 years younger. We grew up in poverty in the 2008 aftermath. Like food stamps and stretching leftovers by mixing them with pasta broke I navigated the system alone for myself then again to
68.
by DrBenCarson 1y ago
Which is why American universities require a HS diploma and good grades in a variety of subjects
69.
by DrBenCarson 1y ago
That is very sad but understandable, incentivize is hard to overcome Universities should be looking at more and discouraging 1 dimensional applicants
70.
by DrBenCarson 1y ago
I think it’s not uncommon for a drug treating some condition with some symptom to have a potential side effect that worsens that symptom. When you start playing with some set of receptors, it’s possible something goes too far or, for whatev
71.
by DrBenCarson 1y ago
Still down—behold, the vibe coding is upon us
72.
by DrBenCarson 2y ago
It’s not true The idea that meaning is not impacted by language yet is somehow exclusively captured by language is just absolutely absurd Like saying X+Y=Z but changing X or Y won’t affect Z
73.
by DrBenCarson 2y ago
Yes, I’ve been on iCloud 2y+ and saw my first failure today
74.
by DrBenCarson 2y ago
Might be a little bit of both but nothing you said there contradicts the original point--opening up iMessage integration to arbitrary bluetooth connections is a bad idea. It blows open access to all your messages...who knows, maybe even the
75.
by DrBenCarson 2y ago
Commerce is demeaning?
76.
by DrBenCarson 2y ago
To make the change in your environment: 1. Create or edit the UV configuration file in one of these locations: - `~/.config/uv/config.toml` (Linux/macOS) - `%APPDATA%\uv\config.toml` (Windows) 2. Add a section for defaul
77.
by DrBenCarson 2y ago
It sounds like you’re just looking for dependency groups? uv supports adding custom groups (and comes with syntactic sugar for a development group
78.
by DrBenCarson 2y ago
Yes
79.
by DrBenCarson 2y ago
The ideal UX isn’t a secret: audio with AR for context I’m bullish on an AirPods-with-cameras experience
80.
by DrBenCarson 2y ago
I get that the choice was well thought out, but it would have been nice to use the same language as most of the modern tools (Rust) Do any other well-adopted tools in the ecosystem use Go?
81.
by DrBenCarson 2y ago
False, very random SO link that has been posted repeatedly
82.
by DrBenCarson 2y ago
I agree project digits looks to be the better all-around option for AI researchers, but I still think the Mac is better for people building products with AI Re memory speed, digits will be at 273GB/s while the Mac Studio is at 819GB&#x
83.
by DrBenCarson 2y ago
All iPhone SoCs made after ChatGPT launched start with 8gb, and all Mac SoCs start with 16hlgb
84.
by DrBenCarson 2y ago
Apple are working on the hard problems of making AI useful (call them “agents”), not AGI 1. Small models running locally with well-established tool interfaces (“app intents”) 2. Large models running in a bespoke cloud that can securely and
85.
by DrBenCarson 2y ago
And how much VRAM will Project Digits have?
86.
by DrBenCarson 2y ago
Not moot if you care about producing those tokens with the largest available models
87.
by DrBenCarson 2y ago
How much VRAM do you get on those 2x 5090s? How much would it cost to get up to 512gb?
88.
by DrBenCarson 2y ago
You’re largely correct for training models Where this hardware shines is inference (aka developing products on top of the models themselves)
89.
by DrBenCarson 2y ago
Now do VRAM
90.
by DrBenCarson 2y ago
Apple have been putting ML models running on their own silicon into production for far longer than any of their competitors. They publish some of the most innovative ML research They also own distribution to the wealthiest and most influent

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