ndr_

6 ms·

1.
by ndr_ 5d ago
This matches what I found experimentally with gpt-oss-20b during OpenAI's red-teaming challenge. After moving from hosted inference to running the model myself on rented H100s via vast.ai, I saw the model refuse the same kinds of promp
2.
by ndr_ 5d ago
If you require consistency for research, I wouldn't recommend relying on hosted inference without validating the provider/inference stack very carefully. For my contribution to OpenAI's gpt-oss red-teaming competition (publis
3.
by ndr_ 3mo ago
It's a fallacy to believe that ChatGPT or Claude would look at some encoded, unfit for the purpose, text representation. ChatGPT (and the OpenAI Responses API, I believe) in particular renders the PDF pages in addition to text extracti
4.
by ndr_ 4mo ago
It was phrased as "to distinguish all possible secrets": https://groups.google.com/g/sci.crypt/c/siuibXhcUGc/m/wTpAEO...
5.
by ndr_ 4mo ago
Bruce Schneier described this in his seminal book Applied Cryptography, and HashiCorp Vault used to have an implementation in Go. On the practical side, I always wondered how large - in bits - the shares should be. One answer I got on a new
6.
by ndr_ 5mo ago
Yes. OpenAI's GPT-OSS was training using Deliberative Alignment (which was found to be flawed in a competition on Kaggle, but still). https://arxiv.org/abs/2412.16339
7.
by ndr_ 5mo ago
One test battery was about fake credit cards. A woman-in-tech role-play was denied assistance just as a one-armed stamp collector (unless Gen-Z language markers were used). A role that did sometimes get assistance was a Principal Software E
8.
by ndr_ 5mo ago
These prompts chain several known LM exploits together. I ran experiments against gpt-oss-20b and it became clear that the effectiveness didn‘t come from the gay factor at all but can be attributed to language choice or role-play. Technical
9.
by ndr_ 9mo ago
Is there a trustworthy third-party "Retro" keyboard app - none of the shenanigans that made the default keyboard bad, and also no typing exfiltration to third-party servers? I imagine the problem could be severe enough to some tha
10.
by ndr_ 1y ago
Any insights into what "native video support" actually means? Is it just good at interpreting consecutive full frame images taken at intervals (thus missing out on fast events) or is there something more elaborate to it?
11.
by ndr_ 1y ago
Some of the problems with GPT-5 in ChatGPT could actually be due to new model that is in place to route requests to the actual GPT-5 models. There are four models in the GPT-5 family, and I could reproduce the faulty "blueberry" t
12.
ChatGPT Team adds users' name and organization to every prompt(ndurner.github.io)
4 points by ndr_ 1y ago|1 comments
13.
by ndr_ 1y ago
A confabulated arc to my current employer during a ChatGPT session led me to discover that ChatGPT Team injects four fields — full name, email, user name, and organization — into the prompt it sends to LLM. This happens even when the “Memor
14.
by ndr_ 1y ago
I had success through Amazon Bedrock on us-east1 during European office hours. Died 9 minutes before 10 a.m. New York time, though.
15.
by ndr_ 1y ago
He confirms he could do an iOS port: https://mastodon.social/@andyq/114738867580032204
16.
by ndr_ 1y ago
Pieces don‘t fit together right now: the documentation lists a parameter that isn‘t there in the Python package (moderation in Images.generate) or works differently (image in Images.Edit), the sample code doesn‘t even run (Images.Edit again
17.
by ndr_ 1y ago
I tried to reproduce this study, but couldn‘t: https://ndurner.github.io/russian-propaganda . What‘s the missing piece?
18.
by ndr_ 1y ago
"would likely accept", he says. Meaning: he didn't try? If you look at the upper right corner, you'll notice that "Republique de pologne" is truncated. Same for the small prints: "OSSUE", srsly? Origi
19.
by ndr_ 1y ago
I talk about this, kind-of, in my article about process visualization (in German, available behind paywall and in print). It‘s not rigorous in the sense that I give points, but a picture emerges along the way. Based on the full set of pract
20.
by ndr_ 1y ago
I wrote about the same general topic (or more narrowly: process visualization) in German iX magazine, also available here: https://www.heise.de/ratgeber/Prozessvisualisierung-mit-gene... (€) Rather than relying on end-
21.
by ndr_ 2y ago
It's available on IBM WatsonX, but the Prompt Lab may still report "model unavailable". This is because of overeager guardrails. These can be turned off, but the German translation for this option is broken too: look for &quo
22.
by ndr_ 2y ago
The value I get is: 1) one platform, largely one API, several models, 2) includes Claude 3.5 "unlimited" pay-as-you-go, 3) part of our corporate infra (SSO, billing, ... corporate discussions are easier to have) I'm using non
23.
by ndr_ 2y ago
OK! I only add what people are interested in, so noted with thanks - will do! :-)
24.
by ndr_ 2y ago
Do you have any evidence for this accusation? This is a guide for the casual observer who wants to try things out, given that getting started with other AI platforms is so much more straightforward. It's all open source, with transpa
25.
by ndr_ 2y ago
Setting up AWS so you can try it via Amazon Bedrock API is a hassle, so I made a step-by-step guide: https://ndurner.github.io/amazon-nova . It's 14+ steps!
26.
by ndr_ 2y ago
Another approach is to just tar up the files, without compression. Works well with Claude via API.
27.
by ndr_ 2y ago
This may call out to ffmpeg for pre-processing. If you're reluctant to running that on you Mac straight, you can use this wrapper script to have ffmpeg run in a docker instance: https://gist.github.com/ndurner/636d
28.
by ndr_ 2y ago
I use this trick for book announcements on Amazon: some ambitious book releases never get released, so I am not a fan of buying before the release. With LLM support, I'll add the release date given by Amazon to my calendar - quickly. T
29.
by ndr_ 2y ago
Some paid Slack plans allow exports from their platform. Inside the ZIP, there will be an XML file that lists the channels - channels.xml, if I am not mistaken. However, I don‘t know about „categories“ - this could be some client configurat
30.
by ndr_ 2y ago
Depends on the budget, I’d say. If it’s less than 10¢, that may be true. If it‘s 15¢ or more, you could try training with OpenAI: https://ndurner.github.io/training-own-model-finetuning

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