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Review: Meat Planet (2019) by Benjamin Aldes Wurgaft

In the words of the book’s author, Benjamin Aldes Wurgaft, Meat Planet: Artificial Flesh and the Future of Food (2019) is “not an attempt at prediction but rather a study of cultured meat as a special case of speculation on the future of food, and as a lens through which to view the predictions we make about how technology changes the world.” While not serving as some crystal ball to tell us the future of food, Wurgaft’s book certainly does serve as a kind of lens.

Our very appetites are questioned quite a bit in the book. Wondering about the ever-changing history of food, the author asks, “Will it be an effort to reproduce the industrial meat forms we know, albeit on a novel, and more ethical and sustainable, foundation?” Questioning why hamburgers are automatically the default goal, he points out cultured meat advocates should carefully consider “the question of which human appetite for meat, in historical terms, they wish to satisfy.”

Wurgaft’s question of “which human appetite” – past, present, or future – is an excellent one. If we use his book as a lens to observe other emerging technologies, the question extends well beyond our choices of food. It could even have direct implications for such endeavours as radical life extension. Will we, if we extend our lifetimes, be satisfactory to future people? We already know the kind of clash that persists between different generations, and the blame we often place on previous generations for current social ills, without there also being a group of people who simply refuse to die. We should be wary of basing our future on the present – of attempting to preserve present tastes as somehow immutable and deserving immortality. This may be a problem such futurists as Ray Kurzweil, author of The Singularity is Near (2005) need to respond to.

The idea of slowing down the ageing process and living healthier, more productive lives is hugely appealing. It’s led to a growing trend for people looking to take control of their own biology, optimising their bodies and minds through ‘biohacking’. But how safe and ethical is this pursuit of longevity? And are there more natural ways of expanding your healthy lifespan? Video by Dan John Animation by Adam Proctor.

For mathematicians and computer scientists, 2020 was full of discipline-spanning discoveries and celebrations of creativity. We’d like to take a moment to recognize some of these achievements.

1. A landmark proof simply titled MIP = RE” establishes that quantum computers calculating with entangled qubits can theoretically verify the answers to an enormous set of problems. Along the way, the five computer scientists who authored the proof also answered two other major questions: Tsirelson’s problem in physics, about models of particle entanglement, and a problem in pure mathematics called the Connes embedding conjecture.

2. In February, graduate student Lisa Piccirillo dusted off some long-known but little-utilized mathematical tools to answer a decades-old question about knots. A particular knot named after the legendary mathematician John Conway had long evaded mathematical classification in terms of a higher-dimensional property known as sliceness. But by developing a version of the knot that yielded to traditional knot analysis, Piccirillo finally determined that the Conway knot is not slice.

3. For decades, mathematicians have used computer programs known as proof assistants to help them write proofs — but the humans have always guided the process, choosing the proof’s overall strategy and approach. That may soon change. Many mathematicians are excited about a proof assistant called Lean, an efficient and addictive proof assistant that could one day help tackle major problems. First, though, mathematicians must digitize thousands of years of mathematical knowledge, much of it unwritten, into a form Lean can process. Researchers have already encoded some of the most complicated mathematical ideas, proving in theory that the software can handle the hard stuff. Now it’s just a question of filling in the rest.

Research papers come out far too rapidly for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company. This column aims to collect the most relevant recent discoveries and papers — particularly in but not limited to artificial intelligence — and explain why they matter.

When science is politicized, or commercially compromised, lives are often lost. Let US put our political and ideological differences aside, and enjoy the science and information others have to share. Let US not try to control the narrative based on our political or ideological beliefs to push a flawed narrative people do not want questioned because it is flawed to begin with, and needs an added push. Respect what people have to share, and do not try to spread hatred against them. The comments sections can be easily used for you to share your point of view by questioning…O h yeah and “Question Everything”-Albert Einstein (known for his many conspiracies)

All hail the powerful One climbed my wood structure that went straight up then went to the roof o.o. Also their hands make them like chimps.


How does intelligence ofs compare with other species? That was a topic of heated debate between 1905 and 1915 within the then-nascent field of comparative psychology.

In 1907, psychologist Lawrence W. Cole, who had established a colony ofs at the University of Oklahoma, and Herbert Burnham Davis, a doctoral student at Clark University, each published the results of nearly identical experiments on the processes of learning, association and memory ins. They relied on E.L. Thorndike’s puzzle-box methodology, which involved placing animals in wooden crates from which the animal had to escape by opening the latch or sequence of latches. They observed the number of trials required for successful completion and the extent to which the animal retained the ability to solve the same problem more quickly when confronted again with it. Using this method, they sought what Davis called “a tolerable basis” for ranking the intelligence ofs on the phylogenetic scale of evolutionary development. They independently concluded thats bested the abilities of cats and dogs, most closely approximating the mental attributes of monkeys.

Raccoons had attracted interest because they flourished, rather than receded, in the face of human expansion. Over the centuries, people had hunteds for food and fur, decried them as agricultural pests and urban bandits, and kept them as household pets. This latter role brought the species to psychologists’ attention. Cole reported that he got the idea to work withs from observing the behavior of a pet kept at a local market. At the time, most animal experiments being conducted occurred on the borderlands of academic research, nature study and domestic life. Scientists such as Charles Darwin, William James and James Mark Baldwin all developed psychological theories based upon observations of their own children and pets. Cole’ss, for example, lived simultaneously as research objects and amusing pets, a relationship that shaped how these experiments were presented to and perceived by the public. Despite Davis’s protests, a widely printed newspaper story depicted his puzzle-box experiments as an example of teaching “tricks” to one’s pets.

Although a single cataclysmic event gained most attention this year — the COVID pandemic — there were many other newsworthy developments in science and research, from daring space missions to room-temperature superconductors.


Mars missions, record‑breaking wildfires and a room‑temperature superconductor are among this year’s top non‑COVID stories.