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> Adding palm oil-based energy supplements to cow feed is a decades-old practice said to increase the milk output of cows and increase the milk's fat content.

> Little research has been done on the true impact of palm oil in dairy, but agricultural experts say butter made from cows fed with palm oil has a higher melting point and, therefore, may be harder to spread at room temperature.

The article conflates palm oil in cow feed with palm oil in dairy. The lipid profile of butter can be measured as can its physical properties. Animal feed transparency is never going to be pretty.


Could just be a simple typo for "impact of palm oil ON dairy"?


I’m ok with the language used. It’s more of a theme throughout the article that I’m concerned about. Palm oil in cow feed can impact the dairy industry and it can impact the properties of the product; I want to understand both types of impacts.


My reading there is that "in dairy" means not in the dairy products, but in the dairy industry.


> IMO this is a confused take on modularity.

You are restricting the scope of what we call a “module” to language runtime modules while the OP has expanded the scope to include things like network tiers and processes with an IPC interface.

I found the OP's perspective both new and useful.


Yeah, that and the author made it clear in the opening paragraph that that they are viewing "modularization" from a Systems Design point-of-view and not software engineering per se.


I think what I'm trying to say is that my definition of a module as a "unit of encapsulation or understanding" is the more inclusive and general one, as it includes network and process boundaries. The OP's use of the word is the restrictive one because it excludes language-level modules. I say this because security and isolation are not typically goals of language-level modules.

This is fine to talk about, of course. It's just confusing to reconcile the article with my definition of modules, which I thought to be the common one.


In some languages, like Modula-2, modules and libraries are exactly the same unit of measure.

You just don't group multiple modules into a single library.

Well you kind of can with sub-modules, but at the end of the day the binary library is generated exactly the same way.


Naming things is hard. My purpose was to emphasize the need to juggle the two definitions when assessing the article. We need a better word for the deployable unit of code that the OP calls a “module".


“Component” might fit the bill.


TL;DR: during lucid REM sleep, patients with extra EEG probes around the eye socket can make detectable left to right eye movements that can be repeated to communicate numerical values (e.g. 2) in response to verbal questions like “eight minus six”.


Note that the fact that you can communicate during LDs through eye movements has been known and used for decades already.


The dreamer has indeed been able to signal to instrumentation via eye movements during lucid dreaming for some time. Do you have any links about two-way communication being used for decades?


Yeah .. and a dialog my wife pokes fun at -

Me: (snoozing/dreaming) what's behind my head?

Wife: A pillow.

Me: Oh! I thought it was a spaceship.


I suspect that viral shedding reinfection with mild symptoms or total absence of symptoms is responsible for “silent super spreaders”. Recovered or vaccinated individuals will need to be extra vigilant. This is really the time for near-daily rapid antigen screening tests. If this hypothesis is correct, the antibody escaping variants are like a new common cold coronavirus for the recovered/vaccinated but have equivalent outcomes to the original virus for the remaining susceptible population.

In TWiV #717 [1] guests Paul Bieniasz and Theodora Hatziioannou indicated that the variants all seem to converge on antibody escaping mutations similar to what they see in the lab. They speculated that reinfection is responsible for the selection pressure necessary to generate these variants.

[1] https://www.microbe.tv/twiv/twiv-717/


> I want to respond to four main negative claims in the article

> 1. The article tries to connect me to Charles Murray and The Bell Curve

> 2. In their litany of reasons I am bad, the Times says I compared some feminists to Voldemort.

> 3. The Times also presented a more general case that I was a bad ally to women in tech.

> 4. They further presented a more general case that I am six-degrees-of-Kevin-Bacon-style linked to right-wing / pro-Trump figures in Silicon Valley like Peter Thiel. This is true -


Is this really a useful post?


Everything Is Buggy is the 4th instalment of Steven Sinofsky's [1] serialized book Hardcore Software: Inside the Rise and Fall of the PC Revolution [2]:

> Hardcore Software is a first-person account of what I saw at the PC revolution from the perspective of joining Microsoft as a newly hired software design engineer fresh from graduate school working on developer tools, through my time as a program manager and ultimately leading Office, and then moving to Windows, and everything in between (like working as technical assistant to Bill Gates.)

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

[2] https://hardcoresoftware.learningbyshipping.com/


The NYTimes precipitated the Slate Star Codex controversy [1]:

> Slate Star Codex was launched in 2013, and was taken down by its author on June 23, 2020, due to fears of having his full name published in an upcoming piece by the New York Times.

I’m assuming this article is the delayed result from the NYTimes.

[1] https://en.wikipedia.org/wiki/Slate_Star_Codex#Controversy_o...


The Feb 07 flood in India [1] was first thought to be a burst glacial lake but:

> Other reports have suggested that satellite images imply that a landslide may have triggered the events... In satellite images, a 0.5 mi (0.80 km) scar is visible on the slopes of the Nanda Ghunti, a peak on the southwestern rim of the Nanda Devi sanctuary, a wall of mountains surrounding the Nanda Devi massif.

[1] https://en.wikipedia.org/wiki/2021_Uttarakhand_flood#Cause


I was under the impression that while the exact time of a landslide is hard to predict, it is relatively easy to predict that an area of land might suffer landslides. (ie. by looking at the angle of every layer of rock and looking for any that are near their critical slippage angle)

Surely that is checked for all land surrounding any hydro project, and the land stabilized with piles or grout before the hydro project starts?


It appears that the side of a 6000m (20000 ft) mountain collapsed.

Clearly this has happened many times through the geological history of the Himalaya - which is arguably the most extreme and dynamic mountain range on the planet - but on human timescales this is an extreme outlier event, so very hard to plan for.


> My philosophy isn't to wait for /better/ hardware, so much as to wait for /tested/ hardware.

The M1 is essentially what would have been the A14X for the iPad. I don’t consider it first-gen technology. macOS for ARM is first-gen but it seems to exceed expectations across the board.


its exceed expectations as everyday computing device, but lacking many features for power users. Can't run docker, virtualization isn't here yet. I hope M2 will come with these features.



I suspect macOS Virtualization [1] will be addressed with software updates rather than new silicon. Instruction Set Architecture (ISA) transitions incur tradeoffs and the mobile-like SoC architecture of the M1 has to make hard decisions about what goes in the SoC (e.g. Ultra Wideband doesn't seem to be included in the M1).

I suspect that something like a M1X, an M1 scaled with additional cores and more memory capacity, will target higher TDP Apple laptops/desktops/workstations. More of the same continuous innovation, a good thing, in my opinion. Many of these decisions are pure marketing; a cheaper MacBook Air with an A14 makes sense to me technically as does the 13" MacBook Pro offering both low-TDP M1 and high-TDP M1X.

A departure from the existing continuous innovation might be a Neoverse-style chip like the Graviton for desktops/workstations. The current big.LITTLE architecture of the M1/A14 makes perfect sense for mixed use devices.

[1] https://developer.apple.com/documentation/virtualization


> suspect macOS Virtualization [1] will be addressed with software updates rather than new silicon

It's already here. No updates to software or hardware needed.


> Can't run docker, virtualization isn't here yet

Both of those are available on M1. Virtualization was even demoed in the keynote discussing the switch to ARM.


This Atlas Obscura article asks:

> How did this medieval civilization thrive in an environment that would be challenging for us even today?

Speaking of the 9th-15th century Khmer Empire [1] in Southeast Asia.

> The answer, say archaeologists, is not that the Khmer were somehow ahead of their time... Instead, it was because Khmer urbanites came from a tradition of tropical city-building that looks very different from what we see in the more northerly regions of the Levant and Europe. For nearly 45,000 years, the Khmer’s ancestors were perfecting the techniques required to build and farm in the jungle, manipulating earth and water to make empires whose remains often melted back into nature, leaving very little trace.

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


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