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So all you have to do to get out of an export ban is find some Chinese guy willing to lie and say "I'm not buying them for China, I swear!"? No due dilligence required?

So? Every henchman of our 100 person software shop has their laptop encrypted, do you think Huang carries NVIDIA trade secrets on a note in his wallet?

Perhaps you are simply not very imaginative, but there are multiple ways to turn sexual access into something more...

Spying being the operative word, it's very easy e.g. to plant listening devices, or drugs, or threaten with blackmail...


This didn't verify the Signal app, only the signal encryption protocol


How often do you need to change the actual library which does the encryption for the signal protocol? Adding features to the app does not require changes to the encryption.

I think they were making a point about software in general, not just an encryption library.

This article is so confusing. For example, they say they tried the Strands Decider model and dismissed it for Gemma, then they continue to call the model they used Strands Decider? Did I miss something?

This article explains it better (and rather colorfully)

https://strandsagents.com/blog/introducing-strands-decider/

They lopped the head off an existing Qwen or Gemma model and used its torso with their new head.


Not exactly sure, but as I understand this version of Strands is Gemma fine tuned for decision.

As I understand it, Strands is basically an SDK (created by AWS then open sourced), so every solution is potentially custom.

Strands Decider is a decision model. maybe similar to Jev, that while based on an LLM is not one - it has a different "head" since it's not build to generate. The original prototype was based on (a modified) Qwen 3.5 2B, and the production version is based on Gemma 4 since that proved to be more accurate.

IMO the real news here is the big picture, not the details. Here's a high volume real world use case where a large expensive LLM (Claude Sonnet 4.6) has been replaced by a tiny 2B bespoke decision model.

Amazon is such a huge company that I'd guess they have internal business flow automation opportunities matching those of many other companies, so it's interesting to see this come out of AWS. Just as AWS itself was created by Amazon releasing something they has originally built for themselves, I wonder if we'll see more of these optimized real-world AI solutions coming out of Amazon/AWS/Strands?


It appears they just re-label other people’s models and call it a decision model.

So only start it when the kids are at school or at dinner?

Why wouldn't everyone want a robot that does all your chores, given that it is affordable? Everyone I know uses a washing machine. Do you wash your clothes by hand?

For better or worse, there is a fundamental difference between a tool that does a specific task under command (e.g. a washing machine), nothing else, never by itself, and a general purpose machine with some autonomy (a "robot") .

Many people will want full control over what happens in their house, and potentially feel unsafe having things that move on their own. Where's the line is for "full control" will be personal.


My entire house is designed for humanoids. Stairs, door handles, step ladders to get onto the attic. I wonder how R2D2 would walk up stairs. Gas thrusters?

R2D2 canonically can climb stairs in his 3-leg travel mode (due to technical limitations in the original series props, it's not entirely clear when he transitions between 2-leg resting mode and 3-leg travel mode)

Do you have a source on that? I thought inference was highly profitable. Are you saying AWS is subsidizing Bedrock and incurring heavy losses?


Per-token Inference is likely profitable (the news was before recent price cuts that may make the numbers less valid), but subscriptions if fully utilized are 100x value, and the profit margins aren't that high.


Ok, but subscriptions only work for individuals, not for companies, right?


Works for companies up to 150 seats.


If you're fine with sending your company data to a country that is openly hostile towards most other countries. Afaik, there are no subscriptions with inference outside the USA.


No, I’m saying subscription tokens are heavily subsidized compared to API pricing, which is what TFA talks about. Quote:

> The amount being spent in AI tokens (API costs) is in the thousands of dollars per project.

Source is https://newsletter.semianalysis.com/p/anthropic-subscription... which claims you can use up to ~$12.5k on a $200 Claude sub.


Does the country you live in not have consumer protection laws?


Read this with Saul Goodman voice


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