I love this, the perfect antidote to all the stupid startup-bro grind bullshit posts.
You put in real work to understand the business landscape and typical pain points. With AI, implementing solutions has become much easier but knowing what the problems are and how to solve them hasn't.
Many British people and Australians, even though our eggs are sold at room temperature and unwashed. I don't know why, but for most of us it 'feels wrong' to store eggs anywhere else.
> The authors find that height cannot, in fact, be used to predict changes in GDP. However, GDP can be used to predict changes in height. In other words, the study finds that extreme height is driven by rapid economic growth, but that height cannot be used as an indicator of recessions
AWS actually hosts the models. Security & isolation is part of the proposed value proposition for people and organizations that need to care about that sort of stuff.
It also allows for consolidated billing, more control over usage, being able to switch between providers and models easily, and more.
I typically don’t use Bedrock, but when I have it’s been fine. You can even use Claude Code with a Bedrock API key if you prefer
I’ve been using Claude Code w/ bedrock for the last few weeks and it’s been pretty seamless. Only real friction is authenticating with AWS prior to a session.
Bedrock runs all their stuff in house and doesn’t send any data elsewhere or train on it which is great for organizations who already have data governance sign off with AWS.
Anecdotaly I think this is in Claude Code. It's pretty frequent to see it implement something, then declare it "forgot" a requirement and go back and alter or add to the implementation.
Worth noting that Kp, which many talk about in discussions online, is more or less useless for anyone in Australia or the southern hemisphere. Lots of beginner Aurora chasers here get tripped up by that.
What is useful is KAus and the G index, KAus is shown on this page, so thats what i'll be tracking.
Keep in mind that anyone posting on a forum (just like this), or so much more, anyone blogging about something is already a huge selection bias for people who believe that their opinion needs to be shared.
You don't hear from all the people who don't feel that others must know their opinion.
Lurkers always outweigh posters.
Don't ever make the mistake of believing that a sample of posts is a sample of people
Humans are tribal, which has both benefits and costs.
In technology, the historical benefits of evangelizing your favorite technology might just be that it becomes more popular and better supported.
Even though LLMs may or may not follow the same path, if you can get your fellow man on-board, then you'll have a shared frame of reference, and someone to talk through different usage scenarios.
You need to be fairly smart to be in tech. People who grew up smart and were told they were tend to view it as part of their self worth. If someone disagrees with this person later on, their self with has been attacked so of course they are going to lash out.
The worst thing you can say to a dev is they are wrong. Most will do everything in their power to prove otherwise, even on the dumbest of topics.
He’s the top comment on every AI thread because he is a high profile developer (invented Django) and now runs arguably the most information rich blog that exists on the topic of LLMs.
That’s not really reasonable to assume at all. Five minutes of research would give you a pretty strong indication of his character. The dude does not need to self-aggrandize; his reputation precedes.
Perhaps. But perhaps this era of AI slop leaves a foul taste in many people’s mouth. I don‘t know the reputation, all I see is somebody who felt the need to AI generate a picture and post it on HN. This is slop, and I personally get bad vibes from people who post AI generated slop, which leaves me with all sorts of assumptions about their character.
To clarify, they are here to have fun, they liked the joke about cow-ork (which I did too, it was a good joke), and they had an idea on how to build up on that joke. But instead of putting in a minor effort (like 5 min in Inkscape) they write a one sentence prompt to nano-banana and think everybody will love it. Personally I don’t.
If you can draw a cow and an ork on top of an Anthropic logo with five minutes in Inkscape in a way that clearly captures this particular joke then my hat is off to you.
I'm all in on LLMs for code and data extraction.
I never use them to write text for my own comments on forums so social media or my various personal blogs - those represent my own opinions and need to be in my own words.
I've recently started using them for some pieces of code documentation where there is little value to having a perspective or point of view.
My use of image generation models is exclusively for jokes, and this was a really good joke.
This really is unnecessarily harsh. As someone who's been reading Simon's blog for years and getting a lot of value from his insights and open source work, I'm sad to see such a snap dismissive judgement.
"all sorts of assumptions about [someone's] character" based on one post might not be a smart strategy in life.
I'd say is necessarily harsh. It is not as if Simon's opinions on AI were really better than others here that are as technical as his.
He is prolific, and being at the top of every HN thread is what makes him look like a reference but there are other 50+ people talking interesting things about AI that are not getting the deserved attention because every top AI thread we are discussing a pelican riding a bike.
He very obviously disclosed that he had nano banana generate the logo. Using AI to boost himself is a different animal altogether. (The difference is lying)
This is the Internet. Everyone here is an AI running in a simulator like the Matrix. How do I know you're not an AI? How do you know I'm not? I could be! Please, just use an em—dash when responding to this comment let me know you're AI.
He's talking about completely different type of risks and regulation. It's about the job displacement risks, security and misuse concerns, and ethical and societal impact.
You put in real work to understand the business landscape and typical pain points. With AI, implementing solutions has become much easier but knowing what the problems are and how to solve them hasn't.
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