nojito

User is based out of Hong Kong. Claude isn't available to Hong Kong so how are they using it?

Still less energy than farming almonds, making clothes, the fridge in your kitchen, etc.

You’re grossly underestimating how much fiber a person needs to eat.

You can just use polars by leveraging write_ipc if you need arrow functionality. Pyarrow is great but it is very heavy.

Great for the consumer.

I remember when bandwidth was super expensive and now it’s dirt cheap.

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 of which were routed to Opus. Moonshot used a proxy service network of 5,380 fraudulent accounts, most of which appeared to be located in Singapore and Japan.

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 from a CCTV archive about a single targeted individual. The user asked Kimi to analyze the CCTV data to understand whether the tracked person was behaving abnormally. The CCTV data included video surveillance from hundreds of cameras in Chengdu, including cameras outside PLA facilities, institutes affiliated with the China Electronics Technology Group Corporation, and a major state-owned enterprise (SOE).

They are using stolen api keys and credentials.

No it's because any model can do gh --help

cli tools are a natural fit for llms.

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.

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/dataframe/a...

The flash models are just so good at OCR tasks and summarization. Glad to see them constantly improving them.

Not that difficult to defeat. A local llm can just update the blocking rules dynamically.

I honestly made my own extension by essentially prompting create a version of ublock origin with a button that uses a local llm to dynamically generate block lists and update them.

It is a cool timeline to go through.

https://simonwillison.net/2026/Aug/7/openai-timeline/

Any support for windows/Powershell yet?

>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 failure you do the same thing.

Why would you look at it in realtime when the whole point of agentic work is to get them to run autonomously as long as possible?

Correct. We were chronically understaffed and now we are able to actually breathe and can argue that we are finally right sized.

Happier engineering teams? Happier end users of the data?

What does useful mean to you?

> most effective way to debase American frontier labs

You're not going to debase the frontier labs through distillation.

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.

Why arent you using /goal?

Cloud AI is 100% worth it. We've been able to do so much more with so much less.

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 is objectively one of the best.

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.

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 their entire organization.

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.

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.

If I were to guess this is to stop distilling and all of those blackmarket resellers.

>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 a compiled binary, but no, they don't trust the LLM that much

It's not "not trusting" the llm its that the llm has been undergoing reinforcement learning is on coding. Plus generating assembly is extremely token inefficient.