thegeomaster

Joined 12 years ago

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2,573
Submissions
676
Member since
May 2
Programmer and tinkerer; based in Belgrade, Serbia. I like building products, systems programming, distributed, and gamedev.

Building Rivermark, an AI design canvas: https://rivermark.ai

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Recent submissions

Comment · 4 days ago
I'm careful to not make any assumptions here - as it might very well "be different this time" - but by the same logic, you could say it's totally obvious that we will need tons of people to build and diffuse AI systems and workflows into large orgs and SMEs. I have so many friends (in traditional industries) who could easily 5x their efficiency with AI but they have no idea and they need help. I don't see this changing nearly as quickly as AI becoming more capable.
Comment · 2 months ago
For what it's worth, before I hurl such an accusation I always check the post in Pangram (https://pangram.com). It always detects the text at 90+% AI generated.

Notably, Pangram is very conservative, and it's not difficult to manually get an LLM generated passage of text to turn human-written. So a score of near-100% AI generated means the writer didn't do even very light editing for a large part of the text.

There are extremely good reasons to be skeptical of fully LLM-written content. Our attention spans and our online platforms were built in a time where a long, data-supported article with references was expensive to produce. The time to write it was vastly longer than the time to read it, which means you could usually rely on some good faith, baseline level of accuracy and thinking on the writer's part.

With LLM-generated content, it's very difficult to know if 5 minutes, 5 hours or 5 days went into writing of the content. On the surface, it all looks similar, but the 5 minute version usually communicates very little or very shallow ideas, makes factual errors, and is generally lacking a lot of context. It's fast food writing.

These low effort versions of content take way more to read than they take to write. And combined with the obtuseness of the writing style, it all places undue burden on the reader to figure out the underlying message, because a lot of it has been mangled by the writing process.

I think LLMs are hugely helpful for writing, but to use their proper potential one needs to use them for feedback and engage with them at a level deeper than simply "write an article about X" or "rewrite this paragraph", and the text then doesn't obviously read AI generated as a bonus - I think nobody really has a problem with this.

Comment · 2 months ago
Probably has something to do with the fact that the blog post is not human-written.
Comment · 3 months ago
Pangram is a very reliable tool and it does clock the text as AI generated.
Comment · 3 months ago
If even Earendil is publishing AI generated blog posts...
Comment · 5 months ago
Looks great, even has Linux support!
Comment · 5 months ago
> `from opentele while import trace`

FYI, this to me points to an inference bug, bad sampling, or a non-native quant. OpenRouter is known to route requests to absolutely terrible, borked implementations. A model like DeepSeek V4 Flash shouldn't be making syntax errors like this.

Comment · 6 months ago
Comment · 6 months ago
What's the "attention window"? Are you alleging these frontier models use something like SWA? Seems highly unlikely.
Comment · 7 months ago
And it seems they've decided to go closed-source for their largest, best models.
Comment · 7 months ago
Tried on a few of our production prompts and got comparable speeds to what we normally get with Fireworks Serverless (Kimi K2.5), but at a better price. Rooting for you!
Comment · 7 months ago
Comment · 8 months ago
Thanks for the feedback! I'm trying to fix that. The trouble is actually that changing the src of an iframe on a page pushes an entry into the history implicitly. Since we use iframes to display the contents of designs, and they can update, this results in a lot of state history pollution. Will prioritize!

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