nl

16 ms·

301.
by nl 4mo ago
> "We want to escape" is a very different viewpoint from "we want to liberate the masses." I don't think this is a point the author spoke about at all. To crudely summarize what I think their claim is: Cyberdeck
302.
by nl 4mo ago
Not arguing that real communities don't exist! I'm arguing that the author's main point is based on the Instagram posts, and this is invalid.
303.
by nl 4mo ago
People keep claiming this but it isn't true. The subsidy from advertising is very low: > They make about $20 per user annually and, assuming an active TV service life of five years, yield about $100 over the lifecycle of a main view
304.
by nl 4mo ago
I think the point is that "only a few companies create these things" has always been true. You need to provide a compelling argument why it is different this time. The counter-argument is pretty basic: RAM companies are currently
305.
by nl 4mo ago
I read the article and sadly I think the author missed a key thing that is going on. Yes, there are few people who created cyberdecks as a counter-culture, anti-company tool (which is a lot of what the author argues). But some of the newer
306.
by nl 4mo ago
https://imgur.com/a/p7P1WBt One-shotted LVGL UI (which I think it a bit ugly). A Bluetooth gateway has a flat battery so 2 temperature sensors aren't getting relayed. This is a Guition ESP32-S3-4848S040 board with
307.
by nl 4mo ago
I have a (very much!) enhanced version of https://github.com/anthropics/claude-desktop-buddy running on a different ESP32 board with a case: https://github.com/nlothian/claude-desktop-buddy-FNK010B
308.
by nl 4mo ago
I recently got a (good!) 3D printer, and that combined with Claude has got me building lots of custom hardware devices using ESP32s. I don't really see the value in a full-computer experience (which seems to be what most cyberdecks try
309.
by nl 4mo ago
I think AI companies have enough things to spend capital on already.
310.
by nl 4mo ago
Is that overfitted? Do 5-fold cross validation, maybe stratified.
311.
by nl 4mo ago
It does and this is how I did it. But actually getting that grammar right as well as actually making it work with the correct Jinja template to correctly enable thinking mode and parse it out was a lot more work than I expected.
312.
by nl 4mo ago
There's the Arducam IMX519 with 16 megapixels, Sony IMX 519 sensor https://www.arducam.com/imx519-autofocus-camera-module-for-r...
313.
by nl 4mo ago
> I am very excited for local LLMs I think we may have GPT 5.5-xhigh level of performance for under 2000 EUR We are maybe 10 years off that. RAM prices are going to continue to increase for the next 2 years at least. Even putting that as
314.
by nl 4mo ago
Hmm maybe. Turns out the author trained a logistic-regression classifier on the embeddings too, but didn't report the results: https://github.com/thelgevold/fine-tuned-classifier/blob/mai...
315.
by nl 4mo ago
I think AI slop posts should be downvoted. I've flagged some myself. This post didn't seem particularly AI generated to me (and notable even the OP didn't claim it was - just that they are "also prompting chat to write h
316.
by nl 4mo ago
It can. It's something that is implemented by the thing that runs the model - eg Llama.cpp - rather than the model itself. Note that it is hard to make work if you turn thinking on because the grammar gets complicated quickly (I don&#x
317.
by nl 4mo ago
If you don't like the post, say something about the post itself. At the moment your criticism sounds like "I don't like this world we live in"
318.
by nl 4mo ago
If you are going to go to the bother of fine tuning for trivial problems like subject classification then I think you'll find Scikit Learn with a SGDClassifier on 2-grams will do probably just as well and be under 1MB for the trained c
319.
by nl 4mo ago
> See the Rio model for another example The Rio model (assuming you mean https://huggingface.co/prefeitura-rio/Rio-3.5-Open-397B ) is a merge of Nex-N2_pro and Qwen: https://github.com/nex-agi/N
320.
by nl 4mo ago
I'm very interested in the SO101. I've never done any robotics and that seems a palatable entry level thing to try things out. How have you found it? (The author does explain his reasons for not using LeRobot in the post - althoug
321.
by nl 4mo ago
For context, the reason he left Google the first time was because Google wouldn't ship the chatbot-type products that he saw were possible. Google bought him back (with lots of money) and made him one of the leads of Gemini.
322.
by nl 4mo ago
All model training is in R&D > How much of that R&D chunk can actually be reduced for the company to continue working. Worth noting that almost all engineering (including software engineering) is always included in R&D. Deve
323.
by nl 4mo ago
But video streaming can be very profitable! Youtube and Netflix are great examples.
324.
by nl 4mo ago
Yes, edited, thanks.
325.
by nl 4mo ago
Page 6 of Google's 10K statement to the SEC[1] they are separate items. The line items are: Cost of revenues Research and development Sales and marketing General and administrative Take it up with the SEC I guess? [1] https:/&#
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by nl 4mo ago
My salary is in no way dependent on OpenAI or Anthropic (in fact I could probably get more money if we switched to using open models and they were just as capable).
327.
by nl 4mo ago
I use DeepSeek. I'm very familiar with open models. I run a popular benchmark to check their progress. DeepSeek is somewhere between Sonnet and Opus in capability, for much lower price. Their $0.87 per million output tokens is one of t
328.
by nl 4mo ago
Yes that capex is a fair point too. (To explain: It's basically saying they are spending $X now to get them as a customer which will yield a lifetime value which is some multiple of $X. That's a very valid thing to do - see the wh
329.
by nl 4mo ago
To expand on this slightly - startups often argue that marketing expenses should not be reported as part of cost of revenue because they are temporary and will change as they grow and the market becomes more aware of them. There are argumen
330.
by nl 4mo ago
Revenue is higher than cost of revenue and revenue is growing faster than cost of revenue. We know OpenAI is forecasting $25-30B revenue for 2026. They will be very close to breaking even at those number. Given Anthropic has forecast more r

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