firasd

16 ms·

181.
by firasd 9mo ago
It's puzzling to me that all this theorizing doesn't just look at the actual effects of AI. It's very non-intuitive For example the fact that AI can code as well as Torvalds doesn't displace his economic value. On the co
182.
by firasd 9mo ago
Both Trump presidencies have really shown how little check there is on the White House when it comes to coordinating among these agencies. Heck literally one of the first the things he did in Jan 2016 is try to find out which park ranger po
183.
by firasd 9mo ago
Right. So I guess that's my quibble with the term sacrifice (shared by Rudolf Spielmann) But what's interesting to me is the counterfactual like outside of these 3 queen moves he would have lost the entire advantage. So it was lik
184.
by firasd 9mo ago
Unfortunately the list of AI edits this person declares at the bottom of their post is self-refuting If you use AI as a Heads-up Display you can't make a giant scroll of every text change you accepted.
185.
by firasd 9mo ago
What I was expecting is that it would pull up the KJV using the results returned from the wiki_source_search tool instead of going for a totally different translation and then doing a text match for a KJV quote
186.
by firasd 9mo ago
I've been analyzing classic "romantic" games using Stockfish with multipv (showing the top 4-5 lines rather than just the best move) 1. Morphy vs. Duke of Brunswick (The Opera Game) https://lichess.org/study&#
187.
by firasd 9mo ago
Ah but I'm not arguing about the rate of change in the trend. I'm saying the signals are decoupled. That is to say an LLM can be as good as a programmer as Linus Torvalds without having even basic knowledge-generalization abilitie
188.
by firasd 9mo ago
I was asking it to see if the wikisource tools are working by looking up a Bible quote. There was no ambiguity about the task itself; what I'm saying is that Claude 'knows' a bunch of things (the Bible has different translati
189.
by firasd 9mo ago
When I see Dario say all this I wonder what he's seeing that seems so differentiated from my POV I wonder how much of Anthropic's success is based on a horde of prompt to code examples that they post-train on. We shouldn't as
190.
by firasd 9mo ago
I'm beginning to think that origin stories are an underrated way to find these angles. Like why exactly did you start thinking about this topic. I guess the recipe bloggers were on to this with their long rambles about where they first
191.
by firasd 9mo ago
I noticed something in Claude across all product surfaces There's a bug in that it can't output smart quotes “like this” Sonnet, Opus et al think they output it but something in the pipeline is rewriting it https://gi
192.
by firasd 9mo ago
"Model power" is being conflated with benchmark and reasoning scores. There are models that do well on academic or coding benchmarks but have poor world knowledge and conversational fluency. That gap isn't visible in standard
193.
Sam Altman's blind spot on AI model power(vibesbench.substack.com)
3 points by firasd 9mo ago|1 comments
194.
Dullness and Disbelief: The 2026 AI Regression(vibesbench.substack.com)
2 points by firasd 9mo ago|0 comments
195.
by firasd 9mo ago
Yeah I mean it would be better if REST was the way tools were exposed to LLMs I'm just glad it's there as a standardized approach. Right now I can connect an MCP Clock to ChatGPT .com/iOS, Claude .ai/iOS/Claude Co
196.
Claude output silently rewritten by Anthropic(github.com)
2 points by firasd 9mo ago|0 comments
197.
by firasd 9mo ago
Documenting this odd behavior where Claude can't seem to output smart quotes at all. As Sonnet notes, the justification is somewhat hard to understand...
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Anthropic silently rewriting Claude punctuation output in API(github.com)
2 points by firasd 9mo ago|1 comments
199.
by firasd 9mo ago
Well I do have a chat log somewhere where I say potential energy seems like a fake concept and GPT and/or Gemini got around to explaining that it can actually be expressed in equations reliably.. does that count? "called you out f
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by firasd 9mo ago
Re: minor outcomes. It really depends on the example I guess. But if the user types "What if Starbucks focuses on lemonade" and then gets disappointed that the AI didn't yell at them for being off track--what are they expecti
201.
by firasd 9mo ago
But this is the thing I'm pointing out. The idea that the LLM is an oracle or at least a stable subjective view holder is a mistake. As humans, WE have to explore the latent space of the model. We have to activate neurons. We have to s
202.
by firasd 9mo ago
This is my attempt to articulate why some recent shifts in AI discourse seem to be degrading the product experience of everyday conversation. I argue that “sycophancy” has become an overloaded and not very helpful term; almost a fashionable
203.
AI sycophancy panic(github.com)
57 points by firasd 9mo ago|102 comments
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Vibesbench: Prompts to track conversational regression in AI models(github.com)
3 points by firasd 10mo ago|0 comments
205.
by firasd 10mo ago
These Stockfish multipv (multi-principal-variation) outputs show something interesting that contradicts the standard chess narrative of two of the most famous games. For more info on 'sham sacrifices', check out https:/&#x2F
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Stockfish shows Morphy and Fischer didn't sacrifice their queens(github.com)
1 points by firasd 10mo ago|1 comments
207.
Vibesbench: A Multi-Turn Conversational AI Benchmark(github.com)
1 points by firasd 10mo ago|0 comments
208.
The Ghost of ChatGPT 4o(firasd.substack.com)
1 points by firasd 10mo ago|0 comments
209.
by firasd 1y ago
I’ve found this quick command using standard Linux utilities helpful: find . -type f ! -name 'combined_output.txt' ! -name '.png' ! -name '.css' -print0 | xargs -0 -I {} sh -c 'echo "Full path: {}&q
210.
Repo to AI: Bash one-liner to concatenate directory contents for LLM(firasd.substack.com)
2 points by firasd 1y ago|1 comments

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