baxter001

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I recall doing a rather large technical case for using raft and a replicated log for water industry back in 2017 it must have been.

That's from knowing nothing about the shape of consensus algorithms to almost getting one adopted.

To me Raft's brilliance is how easy, clear and comprehensible they made thinking about it.

I was surprised how well the bird was getting around.

SurvivorBias.png except it's a silhouette of a goose with numerous red arrows drawn over it.

You'd be surprised what's in there, a few forms of NNs are already supported for denoising, speech detection.

I think having this flow out to all of the deps of libav is a greater good than notions of lib purity.

More precisely libavfilter, so it's also soon in mpv and other dependent players.

This is going to be great for real-time audio translation.

The fact that you think it was suggested _by_ them is I think where your mental model is misleading you.

LLMs can be thought of metaphorically as a process of decompression, if you can give it a compressed form for your scenario 1 it'll go great - you're actually doing a lot of mental work to arrive at that 'compressed' request, checking technical feasibility, thinking about interactions, hinting at solutions.

If you feed it back it's own suggestion it's no so guaranteed to work.

What technologies we have in 2025!

It seems to be the "conversation" part, not necessarily "communication", one of the early stages in children's language acquisition is teaching the flow of back and forth responses and pausing for the other to speak: which seems to be what they're indicating in this article.

No, it doesn't, Turk is what we call Turkish people too.

The "chemical burns" in the title are https://en.wikipedia.org/wiki/Nitrogen_mustard burns, a blistering agent and schedule 1 substance under the chemical weapons convention.

Completely not the focus of the article, and you've turned the result of an error rate of 0.8 percent for gender classification of light-skinned men and a 34.7 percent error rate for the same classifier on dark-skinned women - into some kind of google image search language game?

I can only quote Joy Buolamwini on this:

“To fail on one in three, in a commercial system, on something that’s been reduced to a binary classification task, you have to ask, would that have been permitted if those failure rates were in a different subgroup?”

Always curious of how you walk around the latent space in these, are you just linearly interpolating between two random high dimension points?

background for those unfamiliar with this: https://news.itsfoss.com/hypocrite-commits/

and Kangjie Lu's response: https://www-users.cs.umn.edu/~kjlu/papers/clarifications-hc....

When I'm bored and looking for distraction, I'll often get as far as reader.goog in the address bar before I remember :(

That opening paragraph is hellishly depressing.

It's an article post on the paywalled site platformer.news (Alexa Rank 57,888, most of the sites visitors coming from cnewton.org) by the San Francisco based founder and writer of platformer.news Casey Newton, the article title ends in a question mark.

A meta-response: https://www.scimex.org/newsfeed/should-we-pause-the-5g-roll-...

Can't let this pass without the old classic: https://www.biorxiv.org/content/10.1101/704080v1

In the United States, supercentenarian status is predicted by the absence of vital registration. The state-specific introduction of birth certificates is associated with a 69-82% fall in the number of supercentenarian records. In Italy, which has more uniform vital registration, remarkable longevity is instead predicted by low per capita incomes and a short life expectancy. Finally, the designated ‘blue zones’ of Sardinia, Okinawa, and Ikaria corresponded to regions with low incomes, low literacy, high crime rate and short life expectancy relative to their national average. As such, relative poverty and short lifespan constitute unexpected predictors of centenarian and supercentenarian status, and support a primary role of fraud and error in generating remarkable human age records.

No, but it's pretty good at retraining the final layer of low memory networks like MobileNet - weirdly a workload that the V100 is very poorly suited for...

Almost a yearly tradition: https://www.congress.gov/search?q={%22source%22:%22legislati...

A retraction for being one week out with their predictions and not expecting a new vaccine to get exceptional early distribution authorization?

As it says "still an unlikely and far-future scenario" the author thinks it's prediction, simply a 'scenario' but is too myopic to see the unfeeling machine he's already inside.

Which is a shame as it may help them see that there is a way out of even the most all-encompassing scenarios of control.

I love how many of these AI horror thought experiments are so close to realizing the horrors of global capitalism but they're too close to see it.

"signalling status with ear-accessories Airpods Pro are gonna do a better job these days."

Excellent point, one doesn't need an earphone that looks like traditional jewellery if the earphone is already fulfilling the purpose of traditional jewellery.

Interesting insights into the thought process of the author, there's very little as to positive statements of why you'd want to use this format, but they do however spend a great deal of time discussing neutral features and edge cases of currently wildly adopted alternatives.

One might call this 'argument by gotcha' interesting to imagine the kind of lifeworld that makes one think this is a worthwhile form of persuasion.

Is that those two french brothers who tried to publish fake physics papers?

That 'heatmap' looks suspiciously like the blurred brightness channel of the image.

Is it not clear that they're not complaining about the literal situation of credit card breach, but rather using it as analogy to being informed of a breach after the fact?

This is a very heterogeneous text, pulling in the psychology of perception, economic theory, a description of how regressions work and static analysis of a whole host of programing languages along with R snippets on how to perform the analysis.

Strikes me more like a manic episode than a useful text.

That's not a very interesting observation due to everyone being able to work that out.

The point here is the previously assumed additional round of quantitative easing now going to be so hot on the heels of the last in January the US may as well be a command economy.