nojito

15 ms·

1.
by nojito 6d ago
it's in the actual report. https://www.anthropic.com/threat-intelligence-report-septemb... >In one instance, over a ten-day period, Moonshot relayed almost 300,000 customer requests to Anthropic, the vast majority o
2.
by nojito 6d ago
We also get a glimpse into what those models are being used for. >PLA-affiliated surveillance activity. One user that we assess was likely affiliated with the PLA used what they thought was Moonshot’s Kimi model to load surveillance data
3.
by nojito 6d ago
They are using stolen api keys and credentials.
4.
by nojito 13d ago
No it's because any model can do gh --help cli tools are a natural fit for llms.
5.
by nojito 13d ago
This is user error. Prompting the model and giving it a proper set of documentation are still vital skills that aren’t magically going away.
6.
by nojito 29d ago
SQL is a terrible api for data transformation. https://duckdb.org/docs/lts/sql/statements/pivot#limitations vs https://docs.pola.rs/api/python/stable/reference/datafra
7.
by nojito 1mo ago
The flash models are just so good at OCR tasks and summarization. Glad to see them constantly improving them.
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by nojito 1mo ago
Not that difficult to defeat. A local llm can just update the blocking rules dynamically. I made my own extension by essentially prompting to create a version of ublock origin with a button that uses a local llm to dynamically generate bloc
9.
by nojito 1mo ago
It is a cool timeline to go through. https://simonwillison.net/2026/Aug/7/openai-timeline/
10.
by nojito 2mo ago
Any support for windows/Powershell yet?
11.
Y Code When AI?(tidydesign.substack.com)
3 points by nojito 2mo ago|0 comments
12.
by nojito 2mo ago
>Nobody was watching it? Agent loops are you give it a task and it tries its best to finish it. The only results are success and failure. If it's a success you go through the logs to see the actions it took and if it's a failur
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by nojito 2mo ago
Correct. We were chronically understaffed and now we are able to actually breathe and can argue that we are finally right sized.
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by nojito 2mo ago
Happier engineering teams? Happier end users of the data? What does useful mean to you?
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by nojito 2mo ago
> most effective way to debase American frontier labs You're not going to debase the frontier labs through distillation.
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by nojito 2mo ago
a massive number of data engineering agents. We are able to stand up, test, audit, deploy data pipelines much more efficiently with the foundational models.
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by nojito 2mo ago
Why arent you using /goal?
18.
by nojito 2mo ago
Cloud AI is 100% worth it. We've been able to do so much more with so much less.
19.
by nojito 2mo ago
Their quality metrics have increased steadily over the last 10 years https://healthy.kaiserpermanente.org/northern-california/pag... There’s no best healthcare for everyone but that doesn’t change the fact that Kaiser
20.
by nojito 2mo ago
Correct. There’s no uniform healthcare solution that works for everyone. But it doesn’t change the fact their protocols are top notch as reflected by their quality metrics.
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by nojito 2mo ago
Not sure if you’re serious but just search the name Kaiser in any research search engine. https://pmc.ncbi.nlm.nih.gov/articles/PMC8032167/ Their secret sauce is their ability to standardize protocols throughout t
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by nojito 2mo ago
Kaiser has some of the best healthcare outcomes in the country/world due to their protocols and how good they are in ensuring adherence to them. It’s going to be very improbable that these statements are true.
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by nojito 2mo ago
Both parties will just settle. Apple already caught former employees accessing the Apple internal network with unreturned laptops after termination that’s pretty much game over.
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by nojito 2mo ago
If I were to guess this is to stop distilling and all of those blackmarket resellers.
25.
by nojito 2mo ago
>if you can't write code, you can't review it. I don't write code anymore and I doubt I ever will ever again. On the flipside I review exponentially more code than ever before. >Just ask Claude to dump out assembly, or
26.
by nojito 2mo ago
They just aren't good at agentic work. Also risking it all for some distilled models is a recipe for disaster.
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by nojito 2mo ago
>bring it in-house People don't like to hear this but the open models just aren't good for end to end agentic workflows. There are some very very good small open models that can excel in certain finite bounded tasks, but the fo
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by nojito 2mo ago
Your tools don't render the file though and python-pptx hasn't been updated in 2 years.
29.
Generative AI creates delicious, sustainable, and nutritious burgers(nature.com)
3 points by nojito 2mo ago|0 comments
30.
by nojito 3mo ago
>And most of the time I see some basic workflows. Summarizing Slack. Answering emails. Doing scheduled scans. Performing research and booking something. Sending emails out of Claude. This alone will improve the lives of so many people. T

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