kmod

6 ms·

1.
by kmod 2mo ago
This $23B number that gets thrown around is not the increase to the public. The wording in the referenced report is > Based on actual auction clearing prices and quantities and uplift MW, inclusion of existing and forecast data center lo
2.
by kmod 6mo ago
Fwiw this got changed about a week ago, where they changed the logic to match the documentation rather than default to sending your prompts to their servers. This is why so many people have noticed this happening but if you ask an AI about
3.
by kmod 7mo ago
I think it's interesting that they dropped the date from the API model name, and it's just called "claude-opus-4-6", vs the previous was "claude-opus-4-5-20251101". This isn't an alias like "claude-op
4.
by kmod 1y ago
They are definitely capable of writing such statements, which you can see in their enterprise products. In my Google Workspace gemini app it says pretty prominently and clearly: Your [ORGNAME] chats aren’t used to improve our models
5.
by kmod 1y ago
https://azallianceforgolf.org/wp-content/uploads/2023/01/C-S... page 21, says Arizona 2015 golf course irrigation was 120 million gallons per day, citing the US Geological Survey. https://dgtl
6.
by kmod 1y ago
I was also surprised when someone asked me about AI's water consumption because I had never heard of it being an issue. But a cursory search shows that datacenters use quite a bit more water than I realized, on the order of 1 liter of
7.
Asimov: The Code Research Agent for Engineering Teams(reflection.ai)
2 points by kmod 1y ago|0 comments
8.
Unless users take action, Android will let Gemini access third-party apps(arstechnica.com)
13 points by kmod 1y ago|1 comments
9.
by kmod 1y ago
I've found a method that gives me a lot more clarity about a company's privacy policy: 1. Go to their enterprise site 2. See what privacy guarantees they advertise above the consumer product 3. Conclusion: those are things
10.
by kmod 1y ago
I agree in general, but I think some important context here is that the author of this post was previously on the OpenAI board (the board that fired Sam Altman).
11.
New Amazon EC2 P6-B200 Instances Powered by Nvidia Blackwell GPUs(aws.amazon.com)
2 points by kmod 1y ago|0 comments
12.
by kmod 1y ago
The worst part to me is the privacy nightmare with AI Studio. It's essentially impossible to tell whether any particular API call will end up being included in their training data since this depends on properties that are stored elsewh
13.
by kmod 1y ago
There are a few conditions that take precedence over having-billing-enabled and will cause AI Studio to train on your data. This is why I personally use Vertex
14.
LG and Samsung Are Pioneering the Netflix Model for Home Appliances(bloomberg.com)
3 points by kmod 1y ago|1 comments
15.
by kmod 1y ago
I found this overly handwavy, but I discovered that there is a non-"gentle" version of this page which is more explicit: https://dmodel.ai/nullability/
16.
by kmod 1y ago
The benchmark numbers don't really mean anything -- Google says that Gemini 2.5 Pro has an AIME score of 86.7 which beats o3-mini's score of 86.5, but OpenAI's announcement post [1] said that o3-mini-high has a score of 87.3
17.
by kmod 1y ago
It's "experimental", which means that it is not fully released. In particular, the "experimental" tag means that it is subject to a different privacy policy and that they reserve the right to train on your prompts.
18.
by kmod 2y ago
I believe that at least in the past the entertainment industry would try to detect someone seeding a file before going after them. The idea being that someone downloading is receiving a copy (not illegal), and the act of making the copy (il
19.
by kmod 2y ago
I think people here might like Oliver Burkeman's books where he talks about this stuff a lot. I loved his book "Four Thousand Weeks", and there is a new follow-up "Meditation for Mortals" which I have not read yet b
20.
Prompt Caching in the API(openai.com)
4 points by kmod 2y ago|0 comments
21.
by kmod 2y ago
This reminds me about the Semantic Web, which was a movement explicitly about making the web more understandable to machines. I don't agree with the ideas and I think a lot of other people were also skeptical, but I bring it up to say
22.
by kmod 2y ago
A while ago I talked with someone who was working on clang-format and they said they tried this (at Google, I think) and the results were not good: they found people write different code depending on the format. For example, code written to
23.
by kmod 2y ago
I think it's fascinating that when the topic is "shell companies" that the HN discourse is essentially "if they have nothing to hide then they don't need secrecy". I think that if the article were about linking
24.
On Being Faceless(scottaaronson.blog)
4 points by kmod 3y ago|1 comments
25.
Graph Neural Networks in TensorFlow(blog.research.google)
2 points by kmod 3y ago|0 comments
26.
by kmod 3y ago
I switched to Kagi a month ago, and initially I was pretty skeptical because a lot of the excitement sounded kind of hype-y and anti-Google. But actually Kagi is quite good and definitely worth it. I have regained the expectation that when
27.
by kmod 3y ago
I thought an interesting point was the liquid cooling -- unclear how important this is to them, but I'm guessing it means that they designed it with a TDP that requires liquid cooling. This (wanting higher density) is the opposite of t
28.
Amazon EC2 Capacity Blocks for ML to Reserve GPU Capacity(aws.amazon.com)
2 points by kmod 3y ago|0 comments
29.
by kmod 3y ago
Ignoring the pessimism for a moment But this nogil version is the first time we have an actually working GIL removal. All of the other ones were incomplete to the point of being non starters, and mostly served as discussion material. This i
30.
by kmod 3y ago
This has been done! Many times, most recently with Mojo. It sounds like you're the target user but don't use them, so if you're interested you could help them out by telling them specifically how they don't meet your nee

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