pilotneko

7 ms·

1.
by pilotneko 2mo ago
Businesses raise prices to cover the interchange fee, which impacts lower income consumers disproportionately.
2.
by pilotneko 3mo ago
Where did you see a F-150 Lightning new for less than $40k anywhere?
3.
by pilotneko 9mo ago
Dollar General and Family Dollar are smaller stores that are generally the only option within a reasonable travel distance. Here in the South, you might be able to catch a bus to Wal-Mart, but it’ll take 2-3X more time (1 hour instead of 20
4.
by pilotneko 11mo ago
I mean, it’s not trivial. There is a lot of work involved with enabling tool use at scale so that it works most of the time. Hiding that work makes it worse for the common user, because they aren’t necessarily going to understand the differ
5.
by pilotneko 11mo ago
That’s because LLM’s generally don’t cite their sources. Web search is a tool outside of the LLM. Depending on the particular chat interface, there are any manner of tools in place to augment LLM capabilities/outputs, and they are cons
6.
by pilotneko 1y ago
If you read the model card, Qwen3-Next can be extended to 1M context length with YaRN. > Qwen3-Next natively supports context lengths of up to 262,144 tokens. For conversations where the total length (including both input and output) sig
7.
by pilotneko 1y ago
Sometimes you are searching for supporting evidence that is semantically related. COPD was just an example, you won’t get a direct keyword match if the Physician is searching for lung disease.
8.
by pilotneko 1y ago
Keyword alone sucks for negation. Searching a set of patient documents for “Which of my patients has COPD?” to get a set of responses that states “COPD not indicated” will not endear you to the physician using your tool. Hybrid (keyword + s
9.
by pilotneko 1y ago
I use POE for my outdoor security cameras. They do not have access to a dedicated plug on the outside of my house.
10.
by pilotneko 1y ago
I mean, just this week there was a popular post “My AI Skeptic Friends are all Nuts” that generated a ton of such discussion and dismissal. https://news.ycombinator.com/item?id=44163063
11.
by pilotneko 1y ago
It is common to use long context embedding models as a feature extractor for classification models.
12.
by pilotneko 1y ago
Likely a very small one, or none at all. It’s 450M parameters, which is still in the sweet spot for CPU inference.
13.
by pilotneko 2y ago
I think that people are uncomfortable with the idea that Google Maps is centralized and can unilaterally change what you see. Having an offline version of a map helps protect against sudden change (go forward or retroactive). As an aside, I
14.
by pilotneko 2y ago
I have used the Remarkable 2 for papers, but it is slightly too small to read text comfortably. I’m also an active reader, so I miss the color highlighting. Annotations are excellent. For now, I’m sticking to reviewing papers in the Zotero
15.
by pilotneko 2y ago
Well, that seals the deal. If it doesn’t work for dentists in Japan, there is no point changing anything at all for US healthcare policy.
16.
by pilotneko 2y ago
I don't use Mistral 7B alone, this is just a component in a RAG-based system. A system that is 1) not clinical facing, 2) not used in clinical decision making, 3) provides in-line references sources for end users to validate informatio
17.
by pilotneko 2y ago
Mistral 7B has a context window of 32k. I use it in production for medical summarization tasks supporting appeals and physician advisory services.
18.
by pilotneko 2y ago
I acknowledge there are issues on the provider side, but it is disingenuous to say that providers set the prices alone. Payers introduce a ton of inefficiencies in billing and also remove money from the system, which negatively impacts care
19.
by pilotneko 2y ago
Don’t forget “we don’t build weapons…well the company does but my team doesn’t.”
20.
by pilotneko 2y ago
Every release is novel. Once something has been around for a while and is still being referenced, you know it’s worth learning. Waiting 3-6 months to take a deep dive is a good pattern to prevent investing your time in dead-end routes.
21.
by pilotneko 2y ago
I mean, the ones that do ask don’t proceed to signing up. I think we are seeing a form of survival bias.
22.
by pilotneko 2y ago
It was a bit surprising to click this link on my VPN. Wish it had a NSFW tag. Uncensored is a bit of a crapshoot when it comes to GenAI, half of the time is just means "no instruction tuning."
23.
by pilotneko 2y ago
No worries. Sorry if I came off as combative.
24.
by pilotneko 2y ago
I am aware of the replaceable nibs, and I don’t have a problem with those. I have a Remarkable 2 and I use it practically every day. I replaced the nib with a titanium one and it feels very similar to a ballpoint pen writing on a clipboard.
25.
by pilotneko 2y ago
I have been really interested in this device, but the proprietary stylus really turned me off. In addition to not working on any other e-ink reader/notepad, it is a mystery to me why they went with a stylus technology that requires cha
26.
by pilotneko 2y ago
Sorry, life got busy and I haven’t been able to get back to you. I was referring to pipelines in the Transformers package from Hugging Face. https://huggingface.co/docs/transformers/v4.45.2/en/main_cla...
27.
by pilotneko 2y ago
Hugging Face does maintain a package named Text Embedding Inference (TEI) with GPU/CPU-optimized container images. While I have only used this for hosting embedding models, it does appear to support Roberta architecture classifiers (sp
28.
by pilotneko 2y ago
It shields you from getting your debit card skimmed. The credit card is also easier to contest if there is an issue. If you pay your credit card balance off every month, you never end up paying interest either. Finally, you can accrue point
29.
by pilotneko 2y ago
That's weird, because the repository states Apache 2.0. https://github.com/THUDM/GLM-4/blob/main/LICENSE Oops, you are right. The code is Apache 2.0, license for the model weights is separate.
30.
by pilotneko 2y ago
I experimented with this model and vLLM around a month ago. The long context length is attractive, but it was incredibly slow on a g5.12xlarge (4 NVIDIA A10G GPUs). I actually could not get it to respond for single examples longer than 50K

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