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From what I can see, this is something the Thunderbird team had developed for their own internal tooling, and they’re open sourcing it.

After reading through the GitHub docs, the most impressive thing is that they open sourced their Thunderbolt coding agent for Claude Code. There are quite a few skills available for implementation planning, dependency/build environment setup, coding, linting/cleanup, QA, and managing agent pull requests. Pretty good examples if you are looking at building Claude Code skills.

It sounds like a step further than open-webui; it’s an enterprise grade client-server model for access to agents, workflows, and centralized knowledge repositories for RAG.

In addition to local chatbot for executive/admin use, I can see this being the backend for developers running Cursor or some other AI enhanced IDE, with local knowledge stores holding proprietary documents and running against local large models.

I am also curious about time share and prioritization of resources; I assume it would queue simultaneous requests. Presumably this would let you more effectively pool local compute, rather than providing A100 GPUs to each developer that may sit unused when they’re not working.

Edit: Somewhat impressively, this whole stack does not even include a local inference provider; so it does everything except local models right now, and requests are forwarded to cloud inference providers (Anthropic, OpenAI, etc). But it does have the backend started for rate limiting and queuing, and true “fully offline/local” is on the roadmap, just not there yet.

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You can buy extended security updates, if you are using a Microsoft cloud account to sign in.

I noted an experimental rule in uBO to address delays, but have not tried it yet myself.

Under settings, Filter lists, Built-in, uBlock filters - Experimental

Code has a comment:

! fake buffering on the initial load

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Sigh, clickbait at its finest, why else would we click

Explain your thought process here, how did you arrive at the larger bottle being 90% more detergent? It’s EXPLICITLY clear that the concentration is higher in the smaller bottle.

You could complain about the form factor or lack of precision in dosing loads using the higher concentration, but “detergent” is mostly water, which they clearly said they reduced by 75% (same solute, with less water/solvent = higher concentration).

Quick search and going by what it says on the label, the cost per load has not significantly changed, a little more than half a penny’s difference:

Ultra Concentrated (left) $15/60 loads = $0.25/load https://mrsmeyers.com/collections/laundry/products/ultra-concentrated-laundry-detergent-rain-water?variant=50673207640338

Standard (right) $18/74 loads = $0.2432/load https://mrsmeyers.com/collections/laundry/products/ultra-concentrated-laundry-detergent-rain-water?variant=50673207640338

Shouldn’t be this hard to find out the attack vector.

Buried deep, deep in their writeup:

RocketMQ servers

• CVE-2021-4043 (Polkit)
• CVE-2023-33246

I’m sure if you’re running other insecure, public facing web servers with bad configs, the actor could exploit that too, but they didn’t provide any evidence of this happening in the wild (no threat group TTPs for initial access), so pure FUD to try to sell their security product.

Unfortunately, Ars mostly just restated verbatim what was provided by the security vendor Aqua Nautilus.

Only the cyber truck. Model S and 3 refreshes are still on the legacy platform, with a lithium ion 12V.

So the article repeats, several times, “waymo relies on remote operators”. I don’t think the author knows what “self-driving” means.

Digital signature as a means of non repudiation is exactly the way this should be done. Any official docs or releases should be signed and easily verifiable by any public official.