LLMs are extremely good at finding corner-case vulnerabilities in C bindings even within a memory safe language; see for example the fixes in an OCaml crypto library here: https://discuss.ocaml.org/t/the-series-of-mirage-crypto-rele...
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LLMs are extremely good at finding corner-case vulnerabilities in C bindings even within a memory safe language; see for example the fixes in an OCaml crypto library here: https://discuss.ocaml.org/t/the-series-of-mirage-crypto-rele...
A couple of things have possibly conspired to make more established projects less fun in the past few years:
- we're getting older; as maintainers age, I find it's just harder to make time to go to hackathons and socialise with the younger generation, much as I would love to. Too much real life stuff on. The pandemic also established a 'before/after' and conferences just haven't been the same level since for me. I'm not sure if I changed or the conferences did.
- obviously LLMs, since they add a layer of interferences between both the demands on my maintainer time (LLM generated PRs) but also how much I need to interact with other people to solve a problem. I made plenty of online friends over the past three decades figuring stuff out together over some obscure library, but group debugging seems less important now if you can chuck it at Fable.
They've now added a WSL-style virtual machine layer, but there's no x86 container story (Apple's killing Rosetta) so I imagine some qemu shimming will be required.
There's still no equivalent to VPNKit or GVisor for networking so you'll be bridging I think. See: https://cacm.acm.org/research/a-decade-of-docker-containers/ for how Docker for Mac does this
I can't spot any support for dynamic memory ballooning to prevent the hypervisor from gobbling up too much memory. We've had this in Xen since forever! https://xenproject.org/blog/ballooning-rebooting-and-the-fea...
And, most obviously: NO SUPPORT FOR MACOS. This is the single feature that only Apple can do, and they're choosing not to implement it deliberately, and it's so stupid given the pains we all have to go through to implement CI for macOS. In the land of OCaml, we were forced to implement a custom ZFS snapshotter to get reasonably cost effective macOS CI for our package repository: https://tarides.com/blog/2023-08-02-obuilder-on-macos/. This was fun to build, but it sucks to have to maintain it.
Also, I'm really curious what the GPU passthrough story here is for LLMs, since the Apple Silicon -> Linux kernel support is gated on Asahi's support, but that's been lagging beyond M2 due to the efforts of reverse engineering.
Do better for your developers, Apple. This is a half-baked sweep across third-party software without addressing the core needs around your own operating system.
- Support for read-only BigArrays (or sections) : we're starting to switch to just using bytes/string in OCaml 5+ now, since the larger allocations go into malloc'ed pools and do not relocate, so they can be used as part of an FFI (without the Bigarray C value overhead)
- More support for floating-point numbers (exceptions, representation exploration): OxCaml has some of this now! https://oxcaml.org/documentation/miscellaneous-extensions/sm...
- Syntax for extended BigArray indexing: now supported in OCaml https://ocaml.org/manual/5.4/indexops.html#ss:multiindexing
- LaCaml remains too low-level (non-functional) and unreadable: still remains the case, but OxCaml's got initial support for SIMD https://oxcaml.org/documentation/simd/intro
- BigArray and floating-point I/O remains difficult (we would like: I/O to channels, efficient representation retrieval): much easier now with OCaml effects to build custom fast serialisers (see https://github.com/ocaml-multicore/eio)
- Native top-level: ocamlnat is (I think) shipped in OxCaml, but you can also run a wasm toplevel
There's not that much downside since the annotations only change the performance characteristics of the program, and the static type system rejects inconsistent annotations.
Switching to OxCaml with exclave_ stack_ annotations drops
p99.9 latency from 29 ns to 9 ns per packet on the dispatch
hot path, and removes GC pressure entirely (394 minor GCs to
zero over 25 million packets). Throughput is comparable [...]
I got a similar result with my 'httpz' stack a few months ago (https://anil.recoil.org/notes/oxcaml-httpz) which my website's been running on without drama. And, I gotta say, OxCaml's a surprisingly robust compiler for being packed full of bleeding edge extensions: not a single crash on my infra is attributable to a compiler bug (plenty of bad OCaml code, but not due to a compilation bug)The only practical defense is for these frontier models to generate _beneficial_ attacks to innoculate older binaries by remote exploits. I dubbed these 'antibotty' networks in a speculative paper last year, but never thought things would move this fast! https://anil.recoil.org/papers/2025-internet-ecology.pdf
Totally agree, I do the same as well on my site; e.g.: https://anil.recoil.org/notes/tessera-zarr-v3-layout
There are quite a few useful linkbacks:
- The social urls (bluesky, mastodon, twitter, linkedin, hn, lobsters etc) are just in my Yaml frontmatter as a key
- Then there's standard.site which is an ATProto registration that gets an article into that ecosystem https://standard-search.octet-stream.net
- And for longer articles I get a DOI from https://rogue-scholar.org (the above URL is also https://doi.org/10.59350/tk0er-ycs46) which gets it a bit more metadata.
On my TODO list is aggregating all the above into one static comment thread that I can render. Not sure it's worth the trouble beyond linking to each network as I'm currently doing, since there's rarely any cross-network conversations anyway.
We first submitted the article to the CACM a while ago.
The review process takes some time and "Twelve years of
Docker containers" didn't have quite the same vibe.
(The CACM reviewers helped improve our article quite a bit. The time spent there was worth it!)(article author here)
Apple containers are basically the same as how Docker for Mac works; I wrote about it here: https://anil.recoil.org/notes/apple-containerisation
Unfortunately Apple managed to omit the feature we all want that only they can implement: namespaces for native macOS!
Instead we got yet another embedded-Linux-VM which (imo) didn't really add much to the container ecosystem except a bunch of nice Swift libraries (such as the ext2 parsing library, which is very handy).
That's a mistake indeed; "popularised by" might have been better. Before my beloved Palmpilot arrived one Christmas, I was only using SLIRP to ninja in Netscape and MUD sessions onto a dialup connection which wasn't a very mainstream use.
Some of those talks strangely make more sense today (e.g. Rump Kernels or unikernels + coding agents seems like a really good combination, as the agent could search all the way through the kernel layers as well).
However, Dockerfiles are so popular because they run shell commands and permit 'socially' extending someone else shell commands; tacking commands onto the end of someone else's shell script is a natural process. /bin/sh is unreasonably effective at doing anything you need to a filesystem, and if the shell exposes a feature, it has probably been used in a Dockerfile somewhere.
Every other solution, especially declarative ones, tend to come up short when _layering_ images quickly and easily. However, I agree they're good if you control the entire declarative spec.
"Docker, Guix and NixOS (stable) all had their first releases
during 2013, making that a bumper year for packaging aficionados."
Now we get coding agent updates every week, but has there been a similar year since 2013 where multiple great projects all came out at the same time?There was another component that we didn't have room to cover in the article that has been very stable (for filesystem sharing between the container and the host) that has been endlessly criticised for being slow, but has never corrupted anyone's data! It's interesting that many users preferred potential-dataloss-but-speed using asynchronous IO, but only on desktop environments. I think Docker did the right thing by erring on the side of safety by default.
Well, before Docker I used to work on Xen and that possible future of massive block devices assembled using Vagrant and Packer has thankfully been avoided...
One thing that's hard to capture in the article -- but that permeated the early Dockercons -- is the (positive) disruption Docker had in how IT shops were run. Before that going to production was a giant effort, and 'shipping your filesystem' quickly was such a change in how people approached their work. We had so many people come up to us grateful that they could suddenly build services more quickly and get them into the hands of users without having to seek permission slips signed in triplicate.
We're seeing the another seismic cultural shift now with coding agents, but I think Docker had a similar impact back then, and it was a really fun community spirit. Less so today with the giant hyperscalars all dominating, sadly, but I'll keep my fond memories :-)
The package calculus allows all of these to specified cleanly in a single form.