Zoom has turned into the app that wants to do everything.
Google Classroom is a rubber band ball of stuff tacked on to a bare bones concept of what happens in a classroom. It has a single instance, no beta, no backup. It does not allow exporting to a common format. It uses a single porthole view which cripples the ability to power rate lesson plans and differentiate in a useful manner. And it is made by an advertising and data capture company.

And the ROI is really, really impressive. Each dollar in the NIH budget gets returned as about 5 (depending on the study) in increased GDP. To my knowledge, there is no other billion-dollar scale investment that has consistent, long-term returns like that.

Congress knows this fact. They commissioned many of the studies showing it. It is difficult to believe the Executive Branch is not aware of it. If we really wanted to be America First, rather than reducing the NIH budget, we'd be promoting another run of annual increases with the intent of doubling that allocation in real dollars over the coming decade. Contact your congressional representatives today to advocate for the idea.

He was over-leveraged and didn't manage risk well. In other words, he was a terrible fund manager.

what did you say - I was scrolling

No, the worst part about ads is that they exist at all in a form that intentionally disrupts your attention.

That fundamental issue is then exacerbated by the current societal tolerance for lies, and you get intrusive advertisements that are deeply misleading.

So, why are you tolerating current advertising at all when there are tools that effectively eliminate it?

The assumption is that using your phone / infotainment system to search for, possibly purchase, and play a new release is an attention-demanding task that takes substantial time. The consensus above is that Spotify's UI, in particular, is poor, and thus requires extra interaction, and thus attention off the road, exacerbating the problem. We know that attending to a phone, even briefly, is mutually exclusive to attending to the road. That alone is an explanatory mechanism for the increase in fatalities.

But then we augment that supposition by the additional effects that new music is also a distraction, albeit much lower grade than operating a phone. It might be a lesser effect, but listening to a song or three is also expected to span longer time than interacting with a phone, so might have substantial cumulative impact.

An additional effect that I have not seen mentioned above is the expectation that the demographic listening to top releases is likely to skew younger, and thus contains drivers with less experience than the population. Less experienced drivers are at far greater risk of accidents of any sort, and are more sensitive to distraction.

And, as a parent of teenagers, the solution is clear to me: do not frelling use your phone when driving, period.

Freenet is also based on middle-out compression.

No. Trying to push 30TB into Freenet will be interpreted as an attack on the network by other peers and they'll disconnect from your peer.

Freenet is better viewed as a communication medium than a storage medium. Data is prioritized according to demand, somewhat like an LRU cache. You can't upload 30TB and expect the network to preserve it for you.

On liability, running a Freenet peer is more like running network infrastructure that automatically routes and caches other people's traffic than intentionally publishing it. US law explicitly recognizes this distinction in the DMCA's provisions for transitory network communications and system caching. We discuss this in more detail in the FAQ.

You obviously haven't tried Freenet. You can join our room on River and you'll see no spam, no fraud, no hate speech, none of that.

Decentralized doesn't mean unmoderated. Systems built on Freenet can be moderated however their creators and communities want. River is moderated.

The difference is that nobody running one service gets to decide what everyone else is allowed to run.

From TFOriginalScientificArticle: "Additionally, death certificates included a field for reported usual occupation (the occupation in which the decedent spent most of their working life), generally completed by a funeral director with help from the decedent’s informant."

Looking at Figure 1 from the paper, taxi drivers and ambulance drivers are clear lower-bound outliers in terms of risk from Alzheimer's. But they also die a full decade before the eyeballed mean of the population. There are a couple of data points in the middle plot from that figure that have just slightly higher adjusted risk of Alzheimer's, but have lifespans at ca. 80 years that are well *above* the mean. Regrettably, the paper does not discuss those data points -- me, I'd want to have those occupations since they trade a very slightly increased risk of Alzheimer's for 15 more years of life.

And, then, the bit that's also not in the headline and TFS is that taxi drivers and ambulance drivers have *increased* risk of other forms of dementia, especially taxi drivers.

Also, disappointingly, the paper does not show the full ranked list of occupations (even in the supplementary data), highlighting only a small handful (taxi drivers, ambulance drivers, bus drivers, airline pilots, ship captains, and CEOs).

At least someone realized that it would be a good idea to scan outgoing traffic.

One hopes that the internal reaction amongst the leadership was more than just, "bloody hell."

You're making a classic mistake of reversing an association: "this A is a B" does not mean "every B is an A".

Which is to say, you're ignoring the fact that junior associates have attributes and capabilities that LLMs lack, in a wince-inducing oversight. Indulge me with a Sophoclean interrogatory: what can humans do that LLMs cannot?

This is the idea that the anti-AI folks are getting wrong. I'm a vastly more efficient and better writer, of code or of English prose, with an assistant than without. Assistants are, however, imperfect, whether human or artificial.

The current generation of LLM assistants are equivalent in quality of output to having a junior human associate, but at 1/100th the cost. And they're about 100x faster. Is their output perfect? No, but neither is the work-product of a human associate. Does the LLM (or human) output provide me with much of the legwork necessary to create things of clarity, efficiency, and, sometimes, beauty? Oh, hell yes.

I had an argument just last week about didactic presentation with a stubbornly anti-AI professor for whom I have been hired as an instructor for the course he runs. I made the assertion that very shortly, the expectation will be that anyone in that profession who does not use AI will not be bringing their full potential to the task. Personally, I think it is already true that anyone who is fundamentally a communicator of ideas and is not using AI is not achieving their best, but the field does not yet carry the expectation or assumption that everyone has an AI assistant. Not yet, but it will.