yfontana

No we wouldn't, most of those viruses infect other animals as well, and would just start reinfecting humans.

The whole article is about the fact that, in the UK, this is an issue that isn't talked about enough. Also, the most likely reason why not all humans are dark-skinned is that it makes you much more susceptible to vitamin D deficiency outside of the topics.

Was it ever in doubt that psychoactive drugs have significant effects on the brain?

They claim the attack wasn't just "compromised laptop ==> drain wallets" but had more steps in-between, with the attackers using image registries as an entry point into their systems.

Yeah, I personally draw a distinction between data viz and BI. AI has definitely changed the former, it's pretty cool to be able to design visuals with claude design: you're not bound by what libs can do, html + svg lets you visualize data exactly how you want (and you can even get fancy with 3d stuff, with the pitfall of just showing eye candy with no real insights). I've built some fun stuff like that myself (also with duckdb-wasm).

But BI is more than just visualization: you need stuff like solid data models and semantic layers, tools that help enforce data governance (so that the same metric doesn't get re-defined in 12 different places, possibly with slight variations each time), proper access control (with RLS/CLS). Sure you can probably vibe-code your own BI tool, but it's gonna take quite a bit more work than just the viz part.

From the Github benchmark numbers, one GPU can do about 26k tokens/s when serving 256 users, which is about 2.25B tokens/day. A cluster would need to be close to 70k GPUs to serve 155T tokens/day (which seems doubtful).

but a Slack channel, maybe

GLM 5.3, an open model, is also quite good at reverse engineering.

A significant part of it is that with Opus 5.5, cache reads are priced at 5% of inputs, instead of 10% for previous models.

Jev is a classifier. The big thing about it is that it has high accuracy on domains it wasn't fine-tuned for, like an LLM, but with speed and cost comparable to traditional classifiers.

> in this case tracking sales pipelines

Salesforce does a lot more than that

There are still plenty of shoes that will last for a while. You just need to avoid the super-light ones. Those are designed to go fast, not to be durable.

This article was written in 2015. Nowadays most elite ultra-runners do have coaches, and follow data-driven training regimes. This is a trend in all professional (and, to a lesser degree, amateur) sports, but it is definitely quite noticeable in a sport where athletes used to basically be dudes and girls who liked running fast in the mountains and did that a lot. A lot of that data-driven training is aimed at maximizing training load without going into overtraining.

As a result of this and other optimizations (most notably higher carbs consumption during races, but also better heat training, better recovery protocols, better shoes, etc.), races keep getting faster. The article mentions the course record for the WS100 dropping by 50' between 2004 and 2012. Since then, it has dropped by another full hour (13h46 this year).