Very nice. Did you add support for Quack v3 already? (released alongside DuckDB 2.0)? Unfortunately it's not compatible with v1 so you'll need to adjust it.
We used to use Metabase but the cloud / self hosted divide was too much fiddling, along with the expression language.
The fact that can now be used as a client-server architecture is a game changer. It will for sure replace many data stacks that now run on many servers with tons of cpu and ram
Being able to put it behind an HTTP service / load balancer and implement horizontal scaling based on resource utilization, or even scale to zero via Cloud Run etc. Drool!
I’ve been applying for jobs in the last couple of months and on 80% of the sites I needed to include my LinkedIn profile or I couldn’t send my resume… so I had to forcefully create a profile there so random people could spam me vibe coded ROI calculators via messages. Seems like the system might be rigged
I believe the Chinese government fully supports for the American AI labs to pace the frontier, no need to enter an agreement with them on that respect.
The Chinese government does not concern itself with American AI, they have just reached an agreement with the BRICS members:
the BRICS countries have been developing initiatives focused on the ethical governance of this technology, joint industrial development, and the formation of independent technological alliances.
Using AI slop in software that runs ML models is like buying a Ferrari with a motorbike engine. Might be good for demos or as a proof of concept, but that can’t be used for serving LLMs at scale
At the risk of noting that this is a PR statement from someone who needs something from AMD - you do realize that you just shat upon the CTO of the largest possible consumer of a technology talking about that technology? It's not 2022 anymore.
Just pointing out, there is a reason the large LLMs keep working to try to make it so their own tools can't attack their own moats, by preventing the exact behavior that you dismiss above.
Read the "Chipping Away at the CUDA Moat: Using Agents to Enable Day 0 Support" section of [1] where they list a number of agent-created PRs that have been integrated into production vLLM/SGLang code and as well as AMD kernel fixes.
That would be a very defensible take back in year 2023. Now though?
Anthropic has Mythos. That thing's low level code "AI slop" is better than the "meatbag slop" most software developers write, and it can keep cracking at a given problem with persistence.
OpenAI has GPT-5.6, and also that rabid dog of an AI model that was last seen out in the wild tearing HuggingFace open.
Modern LLMs are very, very capable - not just of writing raw code, but also of persistent, methodical problem solving. Which is what you want to tackle things like "port from an exotic system A to an exotic system B and smoke test the port". Persistently hunting for testable optimizations is a good fit too.
We don’t have static IPs at home in Romania. A restart of the router will just give that person another public IP and they won’t notice any repercussions.
>Nah, Spur (a company tracking residential proxies) doesn't flag it at all.
I looked into it and so far as I can tell it works off a blacklist system, rather than any sort of automatic analysis (eg. TCP or MTU fingerprinting). If you set up a "residential proxy" in the form of a home VPN, it won't be detected. It also means the detection is only as good as whatever their backlist source is. If it's a niche provider, it might not get picked up at all.
They're not doing a very good job at it, tried a few disposable free residential proxies - not flagged. Tried my CGNAT home connection - flagged. My phone connection - also flagged.
> Tried my CGNAT home connection - flagged. My phone connection - also flagged.
Why does that mean they're doing a bad job? Since both are CGNAT, you're sharing the IP with lots of other people, and it's not unlikely that one of your network neighbors is infected.
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