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This is a similar workflow to speckit, kiro, gsd, etc.

I levelled up my Claude Code workflow by giving it the ability to see its own front-end output — automatic screenshots captured during system/e2e tests, wired into a custom Code command that visually inspects every captured frame.

Two files, a few lines of config, and a meaningfully better feedback loop.


I can't download it, as it appears to be US only. Based on the screenshots, without 'feels like' support throughout the forecast (not just for current conditions) it wouldn't be useful where I live.

Never understood using that metric, doesn’t temp and wind give you enough info? Genuine question

In sunny dry US Southwest, whether the sun hits you directly or whether there are clouds in the way makes a huge difference. The "cloudiness" indicator is nowhere near precise enough, but the feels-like temperature readings generally do a decent job.

Dew point and relative humidity, along with temperature and wind, are crucial measures to predicting how you will feel.

https://en.wikipedia.org/wiki/Dew_point

https://en.wikipedia.org/wiki/Humidity#Relative_humidity

In the US, the 100th meridian is a popular demarcation for the half of the country that experiences high humidity versus the other half that experiences low humidity. It is why 100F in Phoenix, Arizona is much more tolerable than 100F in Atlanta, Georgia.

https://en.wikipedia.org/wiki/100th_meridian_west


Do any feel-like estimates take cloud cover into consideration? It doesn't seem like it, but in a high altitude desert like NM, it is a huge factor. Furthermore, the magnitude of the effect varies depending on the day of year and time of day (how much atmosphere the sun passes through), so you can't just mentally add 10 degrees or something. And it isn't just based on the immediate conditions - if it has been cloudy all morning it will feel cooler even after the sun comes out then it will if the ground has been baking in the sun all morning. Some of that is accounted for by the air temperature (conductive heating of the air by the ground), but there is also a radiative heating effect as well. I would love an app that tried to incorporate those factors into it's "feels-like" estimate.

> Do any feel-like estimates take cloud cover into consideration?

No, usually not, because they're usually just simple toys combining a heat index and wind chill scale.

There _is_ an official metric used for estimating heat stress that accounts for cloud cover - the Wet-bulb Globe Temperature (e.g. https://www.weather.gov/tsa/wbgt). This is what is used, for instance, in literature analyzing the impact that future climate change might have on heat stress and mortality risk during heat waves. It's also used by some professional sports programs to monitor risk for crowds and athletes, as well as commonly used by OSHA and other regulatory agencies looking at worker exposure to heat hazards.


The "feels like" metric is more closely tied to human stress and safety than raw temperature.

In cold weather (wind chill), wind strips away the thin warm layer of air next to your skin, so you lose heat faster. Hence, "feels colder".

In hot weather (heat index), humidity slows sweat evaporation, so your body can't cool itself as effectively. Hence, "feels hotter".

So it's a lot more useful for decision-making (like what to wear, weather it is safe to run/hike, how much water you need, etc.) than the plain temperature.


Just to add further color: I’m a teacher, and at my school, we use the “feels like” temperature to decide whether to send kids outside for recess. Without that metric, we’d need to either ignore the wind chill, create our own formula, or leave it up to the judgement of the individual teacher running recess that day. Much better to have a number.

That makes sense, enough to do keeping them alive without the field heuristics

thx for the perspective!

Hurrah, its dumb answer to the now classic "the car wash is 100m away, should I drive or walk?" appeared very quickly.

It's an 8B parameter model from a good while ago, what were your expectations?

This is not exclusive to the East, but any culture with a high cost of expression. Recent interview with a Russian CEO, talking about how they have "growth across the board, only in the negative direction"


I really think this is it.

And I suspect that in general more people (and sub cultures) in the US will start using more non-committal language in the coming decades. When repression grows harder it might become more important to not be noticed.

It would be interesing to know if the regional differences in the US that people are talking about here could be traced back to those places having a more homogeneous population with regards to hierarchical religious practices, country of origin, single-ish way to make a living or similar so that it is very important to not be cast out of the group.

Another perspective is also how this phenomenon relates to what I think is called "code switching" that individual persons from oppressed groups often use in contact with an individual from the oppressing group in daily life. Like how BIPOC interact with white people, women with men or young people with adults - where a not insignificant part of the interaction is about keeping the oppressive party calm and content.

----

English is not my language and I'd like to learn better. Please help me by correcting spelling, expressions and idioms.


That's great, I love it.

Let me try it: I think LLMs are advancing my career into the realm of nonexistence.


Nothing wrong with the attributes the author groups under 'transparent leadership', but the article shows a certain misunderstanding of servant leadership.

At the core of servant leadership is the idea that leaders shouldn't hoard power, but instead share it and empower their reports. That they are accountable to their reports, rather than the other way.

Nothing to do with acting like a parents and becoming a single point of failure.


So... clickbait title for an article that could have been called "Delete flakey tests"...but then and most of us would have just gone "yep" and not clicked.



Disagree. It’s the same enterprise architecture gibberish that creates the problem in the first place.


Hyrum's Law especially applies when you have consumers of your APIs that violate Postel's Law. To minimise those in the past, we've introduced intentional jitter in our API responses that while didn't violate the schema prevented unintentional reliance on behaviour that wasn't intentional[1].

[1]: <https://medium.com/pageup-tech/update-on-driving-client-resi...>


Add: '-site:pinterest.com' to your Google image search to avoid pinterest results.


> Add: '-site:pinterest.com' to your Google image search to avoid pinterest results.

Even though I usually remember to include this manual filtering for images in my searches, it's cumbersome and inconvenient to need to type it, and I definitely don't want to have an extension that handles it for me. And even worse, is the enormous and growing proliferation of sites that just scrape StackOverflow and spam the top 10 places of code-queries with their robot-written word-salad of stolen results.

I've even thought about writing a terminal script that includes all of these sites, and which I could use as an intermediary step for opening searches in my browser. But honestly - a simple exclusion list should be a part of the built-in search.

edit: btw the exclusion needs to be '-site:pinterest.*' to totally exclude this pestilential image-stealing 'service' from results


Good point. I do indeed do this in my personal searches. But much of my searching is in front of students. As an art/design teacher, image search has become an invaluable part of my teaching. Much of this is ‘performative’… searching whilst teaching. Having to include Booleans adds an extra layer of complexity to what should be a simple operation. I don’t want to lecture on Google-foo when I had planned on lecturing on Post-Impressionism.

Would super-love the ability to ‘own’ my search criteria. Ideally, via defined profiles.


Due to ideas like this, I learned that Google limits you to "32 terms" in your query. Bing is a little more generous, but also breaks horribly with queries that are long for various reasons (like site restrictions or exclusions).


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