Extremely severe extinction events happen every 100M years or so and just switching to sustainable energy will not be enough to stop them. Space satellites to control temperature and massive geo-engineering will be needed or it will be game over.
The catch is that the future world that has been warmed by greenhouse gases and a present-day world that has been temporarily warmed by El Niño can have the same global-average temperature while having significant differences in the impacts of this warming.
Multi-Paradigm Design for C++ by James O. Coplien. Twenty years after reading this, the core techniques are still with me. These are commonality analysis, where the purpose is to identify families of systems, and variability analysis, which focuses on capturing the domain parameters that vary. In essence: the foundation of great software design.
But the first photoreceptive cells created a evolutionary force that propelled animals to evolve because sensing the external world changes your self-perception changes the way your relationship with the external world.
Third, raw daily data is the wrong tool for this question. Time of observation changes and the 1980s switch to MMTS sensors both suppress modern hot day counts relative to the past, and the raw and homogenized series diverge almost exactly when the instrument transition happened.
The overall US warming trend (around 0.5F per decade since 1970 in max, min, and mean temperatures) is robust in every dataset, raw or adjusted, satellite or surface.
global temperature lags ENSO by around three to five months, most of this event's warming will land in 2027, which is now shaping up to be a genuinely alarming year and the warmest on record by a sizable margin.
since 1970, natural forcings have been roughly flat, internal variability averages out over the longer period, and greenhouse gases explain essentially all of the observed warming.
like when you're writing you sort of you sort of know in order for it to be good, you have to have an element of the unpredictable. And it's it's not just like increasing temperature in your mind or something, right? It's like knowing exactly the correct point when you want to make an unpredictable move.
Standardized systems are important, and there is a systems premium in the US and UK, but it can't be about a regular pipeline because London has that and yet Crossrail engaged in some really dodgy systems decisions that drove costs up.
Immense scale, soulless optimization, and an insatiable thirst for growth dominate its behavior and discourse, leaving little room for the spirit and principles embodied by Steve Jobs and Steve Wozniak.
So, I think AI has basically driven the cost of idea generation down to almost zero in a very similar way to how the internet drove the cost of communication down to almost zero, which is an amazing thing, but it you know, it it it doesn't make it doesn't create abundance by itself.
Basically what that gives you is like you can apply a lot of theoretical sort of um a lot of theoretical toolkit used in physics to model parts of this question in ways that are actually useful. And it is just not true that you can use like equations from physics to think usefully about almost any other problem in biology.
Consider using a noise machine to offset environmental sounds or earplugs if necessary. Temperature controlled mattresses such as Eight Sleep are great.
What prevents this from being a broad-based bubble is that we are missing a critical feedback loop from the announcement's impact, like network growth or land value.
Best books I read in 2024: Just a note that these books weren’t all necessarily published this year (though some were). Father Time: A Natural History of Men and Babies by Sarah Blaffer Hrdy Just as Deadly: The Psychology of Female Serial Killers by Marissa A. Harrison Eve: How the Female Body Drove 200 Million Years of Human Evolution by Cat Bohannon
A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com.
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.