evdubs
[1] https://www.frc.org.uk/news-and-events/news/2025/04/sanction...
[2] https://www.frc.org.uk/news-and-events/news/2026/10/sanction...
[3] https://www.frc.org.uk/news-and-events/news/2026/07/sanction...
This is literally what the attestations and audits are for. BDO and KPMG both have issued opinions saying yes, they do have all the money they claim to have.
https://tether.io/news/tether-completes-the-largest-inaugura...
> It does look like a hack on Binance. Appreciate the quick freeze from Tether (~$971m) and Circle (~$823m).
You mean the AI that is hundreds if not thousands of gigabytes in size and requires incredibly expensive chips to run at reasonable rates? We know where that is. Frontier models are not going to leap to an unsecure raspberry pi, no matter how much you have convinced yourself about the inevitability.
Of course it is different. I wish I could turn off children as easily as I can turn off an agent. I could have slept better and had a better mood.
> You're blinking cursor is new born baby, but be careful because it grows up really fast
It's not a baby, just a piece of software. It generates a bunch of slop that is most useful when constrained with an output fact checker like a compiler.
> It can even turn against you.
Oh no! The next tokens from its output told me it didn't want to satisfy my request! Who cares?
Sit down at an AI prompt and do nothing. What does the AI do? Does it get up and leave?
Lol. Lmfao, even.
Chinese labs releasing open weights models is good.
All of these independent harnesses and model router services are good.
The pricing of memory and accelerators sucks at the moment but hopefully we will see cool local inference computing if memory and accelerator prices normalize.
OpenAI scooping the Navier Stokes problem from researchers already using OpenAI is bad. People conflating OpenAI's team of researchers and extraordinary computing resources as being equivalent to "ChatGPT, solve the Navier Stokes problem" is silly.
OpenAI and Anthropic coming up with non sense tests and letting their agents hack services is ridiculous and they should be charged with computer fraud and abuse crimes.
I think a lot of it is interesting and the bad stuff seems squarely in the domain of OpenAI and Anthropic.
https://www.sec.gov/Archives/edgar/data/1652044/000165204426...
On page numbered 60, you can see the Disaggregated Revenues.
The $30B quote seems to be referencing "Google Network" revenues declining from $31B in 2023 to $30B in 2025. "Google Network" is grouped with "YouTube ads" and "Google Search & other" to comprise the "Google advertising" category of revenues which increased from $238B in 2023 to $295B in 2025.
So yea, "ad tech" does not represent the whole of Google's advertising revenue.
The first card on the homepage of the DTCC (https://www.dtcc.com/) is "Tokenization". This is a legitimate use case and is being adopted at the largest institutional level. Stablecoins are yet another legitimate use case.
Edit: for what it's worth, I do agree that the crypto craze was insane. I also think the AI craze is insane, even though I agree that its current proliferation is larger than crypto.
Gemma 4 works perfectly well offline on limited hardware (I have an 8GB video card) and can handle extracting text from image-based PDFs just fine.
Take a PDF -> run it through MarkItDown [1], using the OCR plugin if you need (point it to Gemma 4) -> now you can ask Gemma 4 questions about the (markdown) document.
I am sure Gemma 4 could even create a GUI to make this process very simple for a non technical user.
If you want to change your vector to a linked list, in Lisp, you can change from `(vector 1 2 3)` to `(list 1 2 3)`. If you have some array `[1, 2, 3]` and you want to change to a linked list for whatever performance concern, you'd have to replace `[1, 2, 3]` with..
var list = new List();
l.insert(1);
l.insert(2);
l.insert(3);
`(date 2026 6 1)` is better than "2026-06-01" because the latter isn't a date, it's a date string. `(date 2026 6 1)` is better than `new Date(2026, 6 1);` because the former is how it is serialized and can be deserialized.
> there's also the crazy bracket matching
At least with reading code, there is almost no reason to try to match brackets at all. It's like complaining about having to read semi-colons in languages that use them to signify the end of a statement. When writing code, Lisp is just another language like all the rest that benefit from an IDE that is syntax-aware. Having highlights for the starting paren and ending paren for an expression and being able to just select a particular expression make bracket matching fairly effortless.
It's clearly worse just because it moved from infix to prefix and is wrapped by parens? Is `(* (+ a b) (+ c d))` clearly worse than `(a + b) * (c + d);`? Both have a bunch of parens, and one even has a semi colon.
This works both ways. `(list 1 2 3)` is clearly better than:
var l = new List();
l.add(1);
l.add(2);
l.add(3);
How often are you trying to make sense of a bunch of infix arithmetic operations when you're programming? Separately, how often are you creating data structures, navigating data structures, handling data in the form of JSON or XML, parsing that data into your language's native data structures, etc.?
Reading arithmetic in prefix instead of infix is easy, even if it is counter to how you were taught in elementary school. Working with s-expressions for code and data is clearly better than whatever syntax your language uses for code and either directly instantiating data or reaching for JSON or XML.
> justify its lack of static typing
Racket has both Typed/Racket as well as contracts.
Dear AI prompters,
You don't need to have a phrase in bold in most paragraphs. You don't need to have a phrase in italics in most paragraphs. You don't need to substitute the em-dash with a colon. You can make much simpler diagrams showing pointers and packed arrays without the other AI slop in your images. I know it's expecting too much from someone who can't be bothered to write their own pieces to put in more effort, but please find some motivation to acquire some taste in the output that isn't the same as the slop that exists everywhere else.
This question has been answerable in Dolt for years now.
Next, I wanted to see if this could be done with a local LLM. Gemma-4 handles this fine with an 8GB video card and a large context (128k).
Next, I wanted to see if the model could also OCR these docs and translate them. The same model can handle that quite well.
This was when I realized LLMs should be great for handling work where:
- I already know what I want to do
- I already know how to do it
- I don't think this task will help develop skills I find to be valuable
- If I have to do it manually myself, I will probably cut corners
So now I view LLMs through the lens of, "what work can I send to an LLM that I otherwise would not really care about doing."