2,129 karma · joined January 24, 2013
Whenever I return to Australia (also mostly rural locations) the major difference I notice is bird life. There are so many more birds in Australia. Maybe they’re just noisier.
We put feeders out in our Austrian garden and do see plenty of small birds, as well as woodpeckers, crows and pigeons. However, in Australia there are lots of small birds too, like finches and wrens. As well as magpies, currawongs and the large noisy flocks of galahs and sulphur crested cockatoos. King parrots and rosellas regularly seen. Maybe it’s a regional Australia phenomenon, but it really stands out to me.
For some people the COVID vaccine(s) were rushed to market, with limited clinical trials, intended to vaccinate the entire adult population, with limited data as to their immediate effectiveness and with no data about long term effects. You can debate whether the above points are valid or not, but for some people they certainly raised a safety flag.
I completely agree that the vaccine scepticism around the COVID vaccines is now carrying over into other, well tested, well understood and very, very beneficial vaccines.
The article was needlessly hyperbolic and narrowly focused on a single market.
“Driving a manual vehicle is a lost art.”
Hardly. It may be decreasing overall but nowhere near a lost art.
“Yet manual-equipped cars still have a loyal following, making up nearly 29% of new-car sales in 2024 across Europe's big five markets.”[1]
[1] https://www.slashgear.com/2039491/why-manual-transmissions-a...
I also went through quite a process to select a language to work with LLMs[1] before settling on OCaml.
I am not unhappy with the choice and find it works quite well, with relevant skills loaded, but I am always interested in others’ experience and understanding what they’ve discovered works well.
https://en.wikipedia.org/wiki/Category:Defunct_airports_in_E...
And also specifically former RAF stations (stations, airports and headquarters):
https://en.wikipedia.org/wiki/List_of_former_Royal_Air_Force...
Mistral isn’t specialising in French language LLMs either.
The point was that across different European countries and languages there are collaborations and M&A happening.
German and French speaking together at last.
Something like TLA+[1] and Quint[2] specifications can be verified for correctness using Apalache[3]. Then test the Rust code against the specifications using quint_connect.[4]
I upgraded my plan last night to Mistral Le Chat Teams. This now costs me €60 per month for two users. Limits have been reset, but I have no idea now if my per seat limit is higher than the Pro plan, or if the limit is shared between the seats, it’s really not clear. I guess I will find out next month. The limits reset on the first of the month and I really hope I don’t hit them in the next seven days.
I use Mistral Vibe CLI and I’ve written and implemented a couple of new skills[1]. Caveman, based on an idea I found online somewhere, this skill removes all extraneous response text, including articles. Makes for some fun reading, but supposedly reduces output tokens significantly. Hash-anchors, this one is based on a concept from Dirac[2], reduces search failures and also includes multi-file dispatch. It will be hard to measure, but Vibe tells me these two should result in roughly a 40% reduction in token burn.
Co-op is correct here, but not in the title (Coop). Probably personal taste, but I'd also like to see hyphentation for "co-ordinating", "co-operate" and "co-ordinator" as well.
Then I noticed the em-dashes, so perhaps I'm reading the machine's work anyway.
> Europe's leading artificial intelligence firm, France's Mistral AI, said on Tuesday it has acquired Linz-based Emmi
Of course Maltese citizens can still choose not to use ChatGPT (until it becomes mandatory), but if the State supported education is bound to one particular tool, storing user data outside the EU’s jurisdiction, I think that’s something to discuss.
- Haskell
- OCaml
- F#
- Scala
- Gleam
- Purescript
- Grain
- Idris
Then I asked if there were any Schemes or Lisps that met the initial requirements, which added a bunch more options (Typed Racket, Typol, Elm, ReScript etc).
Then I asked about Julia specifically, as it's a language I'm already reasonably familiar with and knew that it's possible to write it with static annotations.
Next I started filtering the list based on additional criteria; didn't want to target a JS compilation target, performance, size of package ecosystem, tooling, community, learning curve (I do want to review and understand the output).
There were a bunch of follow-up questions over a few hours of prompting, reading and a couple of beers. All this resulted in the shortlist of OCaml, Typed Racket and Julia.
Julia pretty much remains in there, even though it doesn't really meet the strongly typed initial criteria, based on my familiarity, the ecosystem especially for AI/ML tasks and performance factors.
I know zero about OCaml and find the thought of learning it a bit daunting. Typed Racket seems more approachable anyway.
Just want to be sure I'm reading the results correctly... When I compare GPT-5.5 with Mistral Medium 3.5, I see in the tables:
a) Mistral beats GPT in Java and C++
b) It's close for Rust
c) GPT-5.5 easily wins for Go, Javascript, Python and Typescript
Model choice really does appear to be language dependent (assuming I'm reading the results correctly).
a) Typed Racket
b) OCaml
c) Julia
I would love to see those three added to your benchmarks. And Mistral Medium 3.5 added to the LLM list, please.
QuPath[1], a tool for digital pathology whole slide image analysis, can export annotations in GeoJSON format (and import too I suppose).[2] This makes it really very easy to make annotations transportable between tooling.
[2] https://github.com/qupath/qupath-docs/blob/main/docs/advance...
However......
I didn't see anything on the website about whether this solution works for all skin types. Having worked extensively in this space (computer vision deep learning for histopathology, cytology and biology, not skin specific) there are always confounding factors and biases in these models when analysing samples from minority groups. How does this model deal with lighter or darker skin? What about age? Sex? Hairy or smooth? Was the training set varied enough to cover these scenarios? Maybe consumers don't care about this kind of information, but that's the first thing I went looking for (well, the second thing. The first thing I looked for was the model used; DINOv2 if I read correctly).
Buried in an FAQ it says, "Our clinical evidence package (Document ID: IVY-CLIN-001, March 2026) includes the full summary report, audit protocol, reviewer credentials, sampling methodology, and ICD-10 mapping. Available on request." I really think that's the kind of thing that should be available up front.
The website also says, "Built to international medical-device and information-security standards." Then there are little breakout boxes for ISO13485, ISO27001 and UKCA-Class 1. Are you truly an ISO13485 and ISO27001 certified company? Or just somewhat disingenuously implying that. If you are, then publish your audit certificates. (Tiny text says, "Standards listed refer to our implementation framework. Certifications are issued upon successful audit by relevant regulatory bodies.") Is your model a UKCA-Class 1 certified medical device? If so, why not IVDR and FDA 510k as well? I was pretty surprised to see the offering is from a UK/HK company, as the marketing is pretty squarely at a US audience in my view, including the pricing in dollars. What about HIPAA and how you handle PHI? No mention of SOC2, which is more widely recognised (asked for) in the US than ISO27001.
I appreciate you may have built a nice product, that works quite well in common use cases, but this is a tough and highly regulated space to play in. Good luck.