rene_d

I find the Climate Reanalyzer graphs very instructive - at a glance one can see how extreme the situation is:

https://climatereanalyzer.org/clim/sst_daily

No DLSS 5

The actificial analysis post shows that it does not perform well at all on its newer benchmarks. So probably very benchmark focussed, but still, worth a try for local coding.

Very clickbaity title, but interesting analysis of Reflection AI's Beam model.

To get calibrated probabilities sounds like a very good feature, if they are indeed well calibrated.

And in my experiments even Qwen 3.8 has a hard time to consistenly conform to a schema, requiring retries, JSON cleanup etc, so to have a model of similar quality (SemIf et al) that simply cannot deviate from the schema by construction could be very helpful.

But I still need to experiment with either Jev/SemIf myself.

A friend of mine founded a startup with much the same concept several years ago - while it has matured in many ways the initial concept was to provide the user with spatial audio "sound beacons" / breadcrumbs they could intuitively follow: https://www.dreamwaves.io/

Optionals handle this in zig:

  var value: ?T = null;

Write:

  value = 10;

Read:

  if (value) |x| x+=1

A few more details + map on Aviation Herald:

https://avherald.com/h?article=5345bfac&opt=0

Autogenic training [1] is exactly a relaxation technique focussing on the progressive relaxation of body regions. It is very easy to learn and a body-first approch to approach meditative states, which can then be used for auto-suggestion.

[1] https://en.wikipedia.org/wiki/Autogenic_training

The Aviation Herald has more technical details:

https://avherald.com/h?article=52f1ffc3&opt=0

Asianomics released a video on how withdrawing groundwater can dramatically lower the elevation of entire cities — I was surprised by how large an effect just a couple of years of human activity can have.

China's sinking land problem https://www.youtube.com/watch?v=nu_Y4hJmqGE

Zig - https://ziglang.org/zsf/