with this pc spec and internet speed, I expect its "normal"
I have the same experience on a Macbook Air M1 (I don't think that matters at all) and 100 MBit/s DSL.
Readit Newsofrzeta commented on The first Media over QUIC CDN: Cloudflare moq.dev/blog/first-cdn/... · Posted by u/kixelated
ofrzeta commented on Being “Confidently Wrong” is holding AI back promptql.io/blog/being-co... · Posted by u/tango12
LLMs just can't learn or understand from the context. The context is there to somehow statistically affect the token production but there is no real understanding. You can provide an LLM a full specification of a problem including all elements that are needed to solve it, for instance all specific functions of a programming library (that is not on the Internet). An competent programmer could read this and implement the solution straightforward. With LLMs this does not work - they still confidently continue producing wrong solutions, though.
Where's Pascal today?
It's alive and kicking, right? :) https://www.freepascal.org
They even have a game engine that can compile to a WASM target: https://castle-engine.io/web
ofrzeta commented on Is moderate drinking healthy? Scientists say the idea is outdated news.stanford.edu/stories... · Posted by u/XzetaU8
ofrzeta commented on Is moderate drinking healthy? Scientists say the idea is outdated news.stanford.edu/stories... · Posted by u/XzetaU8
What about hormesis? https://en.wikipedia.org/wiki/Hormesis
There's a paragraph about alcohol.
ofrzeta commented on Say farewell to the AI bubble, and get ready for the crash latimes.com/business/stor... · Posted by u/taimurkazmi
The core thesis seems valid " AI bots seem intelligent, because they’ve achieved the ability to seem coherent in their use of language. But that’s different from cognition."
As it happens LLMs work comparatively well with code. Is this because code does not refer (a lot) to the outside world and fits well to the workings of a statistical machine? In that case the LLMs output can also be be verified more easily by inspection through an expert, compiling, typechecking, linting and running. Although there might be hidden bugs that only show up later.
ofrzeta commented on KPMG wrote 100-page prompt to build agentic TaxBot theregister.com/2025/08/2... · Posted by u/ofrzeta
> How do you do that with a 25 page report?
Like any technical 25 page report it'll be ballpark with reality, shorter to read and grasp than crawling through a wall of document filled boxes, and passed to other people to 'verify' / offer their opinions on.
Once contracts are in place with millions of dollars in play (or tens of millions, or billions) there will be clauses addressing responsibility and recompense should key parts of the reports upon which an agreement is based prove to be false.
The world runs on technical reports that aren't perfect, but "near enough"; errors are assumed and a frequency of deliberate malfeasance (knowingly lying, misleading, faking results) can be estimated.
Part of my career consisted of producing summaries of two to three thousand documents a day from stock markets about the globe, documents that ranged from three lines announcing a change on a board, a table disclosing a change in holdings by largest investors, etc. to large (hundred+ page) quarterly and annual reports, to small book economic feasibility reports with wads of raw data, interpretation, proposed plans, costings, timelines, etc.
> It will strip through our documents and the legislation and produce a 25-page document for a client as a first draft.
is the key point here, it's a rapid first draft of the major dot points seen to be most important for <whatever>. It is intended to be crawled through with a finer comb and a keen eye before contracts are signed based on a separate framing of <deal>.
The big change here is that an AI churns out a draft faster, the quality of the document will be as suspect as a non AI created human first draft .. untrusted.
Untrusted ... but does it have any value at all when you can't be sure that a lot of it is hallucinated? After all, LLMs are not very good with numbers.
ofrzeta commented on KPMG wrote 100-page prompt to build agentic TaxBot theregister.com/2025/08/2... · Posted by u/ofrzeta
"It is very efficient," Munnelly told the Forrester conference. "It does what our team used to do in about two weeks, in a day. It will strip through our documents and the legislation and produce a 25-page document for a client as a first draft.
"That speed is important," he added. "If we have a client who is about to do a merger, and they want to understand the tax implications, getting that knowledge in a day is much more important than getting it in two weeks' time."
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I really wonder what is the foundation for their confidence in LLMs. If you have ever used ChatGPT you will be highly skeptic that the output is correct. If it's code, you can at least compile, typecheck, run it, to verify it to some extent. How do you do that with a 25 page report?
ofrzeta commented on Le Lamp – an open source expressive robot github.com/humancomputerl... · Posted by u/shav7
Expressive interaction design is the missing layer in robotics. The future isn’t just functional robots - it’s robots that feel natural to use and are designed from the ground up for expressive human-robot interaction.
We will continue iterating Le Lamp to make it expressive and useful in the upcoming weeks.
our github: https://github.com/humancomputerlab/LeLamp/
community: https://discord.gg/wVF99EtRzg
No reference to Luxo jr.? https://en.wikipedia.org/wiki/Luxo_Jr.