It’s a bit disconcerting to think that one might be resurrected, in this case, digitally, but Dr Masaki Iwasaki has helpfully published a study on attitudes to digital cloning and resurrection consent, which could prove helpful when establishing one’s final wishes.
In a 2014 episode of sci-fi series Black Mirror, a grieving young widow reconnects with her dead husband using an app that trawls his social media history to mimic his online language, humor and personality. It works. She finds solace in the early interactions – but soon wants more.
Such a scenario is no longer fiction. In 2017, the company Eternime aimed to create an avatar of a dead person using their digital footprint, but this “Skype for the dead” didn’t catch on. The machine-learning and AI algorithms just weren’t ready for it. Neither were we.
Now, in 2024, amid exploding use of Chat GPT-like programs, similar efforts are on the way. But should digital resurrection be allowed at all? And are we prepared for the legal battles over what constitutes consent?
In a study published in the Asian Journal of Law and Economics, Dr Masaki Iwasaki of Harvard Law School and currently an assistant professor at Seoul National University, explores how the deceased’s consent (or otherwise) affects attitudes to digital resurrection.
US adults were presented with scenarios where a woman in her 20s dies in a car accident. A company offers to bring a digital version of her back, but her consent is, at first, ambiguous. What should her friends decide?
Two options – one where the deceased has consented to digital resurrection and another where she hasn’t – were read by participants at random. They then answered questions about the social acceptability of bringing her back on a five-point rating scale, considering other factors such as ethics and privacy concerns.
Results showed that expressed consent shifted acceptability two points higher compared to dissent. “Although I expected societal acceptability for digital resurrection to be higher when consent was expressed, the stark difference in acceptance rates – 58% for consent versus 3% for dissent – was surprising,” says Iwasaki. “This highlights the crucial role of the deceased’s wishes in shaping public opinion on digital resurrection.”
In fact, 59% of respondents disagreed with their own digital resurrection, and around 40% of respondents did not find any kind of digital resurrection socially acceptable, even with expressed consent. “While the will of the deceased is important in determining the societal acceptability of digital resurrection, other factors such as ethical concerns about life and death, along with general apprehension towards new technology are also significant,” says Iwasaki.
The results reflect a discrepancy between existing law and public sentiment. People’s general feelings – that the dead’s wishes should be respected – are actually not protected in most countries. The digitally recreated John Lennon in the film Forrest Gump, or animated hologram of Amy Winehouse reveal the ‘rights’ of the dead are easily overridden by those in the land of the living.
So, is your digital destiny something to consider when writing your will? It probably should be but in the current absence of clear legal regulations on the subject, the effectiveness of documenting your wishes in such a way is uncertain. For a start, how such directives are respected varies by legal jurisdiction. “But for those with strong preferences documenting their wishes could be meaningful,” says Iwasaki. “At a minimum, it serves as a clear communication of one’s will to family and associates, and may be considered when legal foundations are better established in the future.”
It’s certainly a conversation worth having now. Many generative AI chatbot services, such as like Replika (“The AI companion who cares”) and Project December (“Simulate the dead”) already enable conversations with chatbots replicating real people’s personalities. The service ‘You, Only Virtual’ (YOV) allows users to upload someone’s text messages, emails and voice conversations to create a ‘versona’ chatbot. And, in 2020, Microsoft obtained a patent to create chatbots from text, voice and image data for living people as well as for historical figures and fictional characters, with the option of rendering in 2D or 3D.
Iwasaki says he’ll investigate this and the digital resurrection of celebrities in future research. “It’s necessary first to discuss what rights should be protected, to what extent, then create rules accordingly,” he explains. “My research, building upon prior discussions in the field, argues that the opt-in rule requiring the deceased’s consent for digital resurrection might be one way to protect their rights.”
There is a link to the study in the press release above but this includes a citation, of sorts,
I almost forgot about the February 21, 2024 news item on Nanowerk announcing this new artist-in-residence programme. Thankfully, there’s still plenty of time before the submission deadline of May 17, 2024, Note: Links have been removed,
The Paul-Drude-Institut für Festkörperelektronik (PDI) in Berlin has launched its inaugural Artist-in-Residency Program, aimed at inspiring unique perspectives on science and presenting new opportunities for engaging with the community.
The PDI Artist-in-Residency Program offers a unique opportunity for Berlin-based artists to immerse themselves in the scientific process, collaborate with researchers and technicians, and access state-of-the-art facilities and resources in the field of materials science. Located in the heart of Berlin, PDI is one of the world’s leading institutes in the fabrication and analysis of nanomaterials for semiconductor technology.
PDI’s in-house facilities provide over 1500 m² of laboratory space, including 11 molecular beam epitaxy (MBE) systems and a central clean room area of 450 m2 dedicated to state-of-the-art processing and nanofabrication.
Image from Sadie Weiss exhibition ‘Nanomaterials /// Plasmatic’, 2018 [Citation from: https://idw-online.de/de/news828941] Courtesy: Paul-Drude-Institut für Festkörperelektronik (PDI)
“We are delighted to introduce our Artist-in-Residency Program which reflects our commitment to sharing knowledge with the community.” said Prof. Dr. Roman Engel-Herbert, Director of PDI. “Through this program, we aim to immerse artists in the scientific process, helping them to gain an understanding of our work, develop unique perspectives, and uncover new ways to engage and inspire the community.”
The residency program is open to Berlin-based artists working in any discipline. Each residency lasts three months, during which time artists will have access to labs, a dedicated workspace, and mentorship from PDI’s scientists and technicians. At the end of the residency, the artist will present their processes and learnings in a public discussion, and showcase their work in a format suitable to their medium. Artists will receive a stipend of EUR 1,500 per month. The call for submissions is open until May 17th, 2024.
“We believe that collaboration is essential to both the scientific and creative processes,” said Dr. Carsten Hucho, Head of Department Technology and Transfer at PDI. “Our Artist-in-Residency Program encourages artists and scientists to exchange ideas, ask questions, and challenge the ways we perceive and communicate science.”
Applications for the Artist-in-Residency Program at PDI are now open. Interested artists are encouraged to visit the PDI website for more information.
I have found more information about applying, assuming you are a Berlin-based artist. From the website’s Artist-in-Residence program webpage,
Over a three-month period, the selected artist will work closely with scientists and technicians at PDI, gain access to labs, equipment, and insights into our research and activities. At the end of the residency, the artist will present their processes and learnings in a public discussion, and showcase their work in an exhibition format suitable to their discipline.
Duration: The residency runs for 3 months, from July to September 2024.
Remuneration: Artists will receive a stipend of EUR 1,500 per month.
Facilities: Artists will be assigned an office at PDI, and gain access to our labs and insights into our research through close contact with a mentor. Please note that accommodation is not provided.
Presentation: At the conclusion of the residency, the artist will have the opportunity to showcase their work through a public discussion and an accompanying exhibition, presentation, or performance, depending on the nature of their project.
Submission deadline: May 17th, 2024.
Eligibility
Open to artists who are based in Berlin and working in any medium, including but not limited to visual arts, digital arts, performance, and literature.
Artists at all stages of their careers are welcome to apply.
Applicants must be able to commit to the duration of the residency and closing presentation.
Application Process
To apply for the Artist-in-Residence Program at PDI, please submit the following materials:
Artist Statement: Describe your artistic practice, interests, and why you are interested in participating in the residency (500 words maximum).
Project Proposal: Outline your proposed project for the residency, including its objectives, methodology, and anticipated outcomes (500 words maximum).
Portfolio: Provide examples of previous work relevant to your proposed project (up to 10 images, videos, or links).
CV/Resume: Include a current CV or resume detailing your artistic background, education, exhibitions, and any relevant experience.
All materials must be submitted via email to art(at)pdi-berlin.de with the subject line “Artist-in-Residence Application – [Your Name].”
Applications must be received by midnight, May 17th, 2024.
Late or incomplete applications will not be considered.
Selection & Notification
Selection criteria will include artistic merit, originality, feasibility of the proposed project, and alignment with PDI’s mission. The selected artist will be notified by email by May 31st, 2024.
Throughout the festive season, countless individuals delight in the enchantment of ballet spectacles such as “The Nutcracker.” Though the stories of timeless performances are widely known, general audiences often miss the subtle narratives and emotions dancers seek to convey through body movements—and they miss even more when the narratives are not based on well-known stories.
This prompts the question: how can dance performances become more accessible for people who are not specialists? [emphasis mine]
Researchers think they have the answer, which involves putting dancers in sensor suits.
…
Putting dancers into sensor suits would not have been my first answer to that question.
Loughborough University academics are working with the English National Ballet and the University of Bremen [Germany] to develop software that will allow people to understand the deeper meanings of performances by watching annotated CGI [computer-generated imagery] videos of different dances.
Leading this endeavour is former professional ballerina Dr Arianna Maiorani, an expert in ‘Kinesemiotics – the study of meaning conveyed through movement – and the creator of the ‘Functional Grammar of Dance’ (FGD), a model that deciphers meaning from dance movements.
Dr Maiorani believes the FGD – which is informed by linguistics and semiotics (the study of sign-based communication) theories – can help create visualisations of ‘projections’ happening during dance performances to help people understand what the dance means.
“Projections are like speech bubbles made by movement”, explains Dr Maiorani, “They are used by dancers to convey messages and involve extending body parts towards significant areas within the performance space.
“For example, a dancer is moving towards a lake, painted on the backdrop of a stage. They extend an arm forward towards the lake and a leg backwards towards a stage prop representing a shed. The extended arm means they are going to lake, while the leg means they are coming from shed.
“Using the Functional Grammar of Dance, we can annotate dances –filling the projection speech bubbles with meaning that people can understand without having background knowledge of dance.”
Dr Maiorani and a team of computer science and technology experts – including Loughborough’s Professor Massimiliano Zecca, Dr Russell Lock, and Dr Chun Liu – have been creating CGI videos of English National Ballet dancers to use with the FGD.
This involved getting dancers – including First Soloist Junor Souza and First Artist Rebecca Blenkinsop – to perform individual movements and phrases while wearing sensors on their head, torso, and limbs.
Using the FGD, they decoded the conveyed meanings behind different movements and annotated the CGI videos accordingly.
The researchers are now investigating how these videos can facilitate engagement for audiences with varying levels of dance familiarity, aiming to eventually transform this research into software for the general public.
Of the ultimate goal for the research, Dr Maiorani said: “We hope that our work will improve our understanding of how we all communicate with our body movement, and that this will bring more people closer to the art of ballet.”
The Loughborough team worked with expertsfrom the University of Bremen including Professor John Bateman and Ms Dayana Markhabayeva, and experts from English National Ballet. The research was funded by the AHRC-DFG and supported by the LU Institute of Advanced Studies.
They are also looking at how the FDG can be used in performance and circus studies, as well as analysing character movements within video games to determine any gender biases.
You can find the Kinesemiotic Body here, where you’ll find this academic project description, Note: Links have been removed,
The Kinesemiotic Body is a joint research project funded by Deutsche Forschungsgemeinschaft (DFG) and Arts & Humanities Research Council (AHRC) in cooperation with the English National Ballet (ENB). The project brings together an interdisciplinary group of researchers with the aim of evaluating whether a description of dance discourse informed by multimodal discourse analysis and visualised through enriched videos can capture the way dance communicates through a flow of choreographed sequences in space, and whether this description can support the interpretative process of nonexpert audiences. The theoretical framework of the research project is based on an extended dynamic theory called segmented discourse representation theory (SDRT) and on the Functional Grammar of Dance Movement created by Project Investigator Maiorani. Project’s long-term goal is to develop an interdisciplinary area of research focusing on movement-based communication that can extend beyond the study of dance to other movement-based forms of communication and performance and foster the creation of partnerships between the academia and the institutions that host and promote such disciplines.
It’s been a while since I’ve had a piece that touches on multimodal discourse.
*March 20, 2024 1630: Head changed from “How can ballet performances become more accessible? Put on a sensor suit on the dancers*” to “How can ballet performances become more accessible? Put a sensor suit on the dancers”
This brainlike transistor (not a memristor) is important because it functions at room temperature as opposed to others, which require cryogenic temperatures.
Researchers develop transistor that simultaneously processes and stores information like the human brain
Transistor goes beyond categorization tasks to perform associative learning
Transistor identified similar patterns, even when given imperfect input
Previous similar devices could only operate at cryogenic temperatures; new transistor operates at room temperature, making it more practical
EVANSTON, Ill. — Taking inspiration from the human brain, researchers have developed a new synaptic transistor capable of higher-level thinking.
Designed by researchers at Northwestern University, Boston College and the Massachusetts Institute of Technology (MIT), the device simultaneously processes and stores information just like the human brain. In new experiments, the researchers demonstrated that the transistor goes beyond simple machine-learning tasks to categorize data and is capable of performing associative learning.
Although previous studies have leveraged similar strategies to develop brain-like computing devices, those transistors cannot function outside cryogenic temperatures. The new device, by contrast, is stable at room temperatures. It also operates at fast speeds, consumes very little energy and retains stored information even when power is removed, making it ideal for real-world applications.
The study was published today (Dec. 20 [2023]) in the journal Nature.
“The brain has a fundamentally different architecture than a digital computer,” said Northwestern’s Mark C. Hersam, who co-led the research. “In a digital computer, data move back and forth between a microprocessor and memory, which consumes a lot of energy and creates a bottleneck when attempting to perform multiple tasks at the same time. On the other hand, in the brain, memory and information processing are co-located and fully integrated, resulting in orders of magnitude higher energy efficiency. Our synaptic transistor similarly achieves concurrent memory and information processing functionality to more faithfully mimic the brain.”
Hersam is the Walter P. Murphy Professor of Materials Science and Engineering at Northwestern’s McCormick School of Engineering. He also is chair of the department of materials science and engineering, director of the Materials Research Science and Engineering Center and member of the International Institute for Nanotechnology. Hersam co-led the research with Qiong Ma of Boston College and Pablo Jarillo-Herrero of MIT.
Recent advances in artificial intelligence (AI) have motivated researchers to develop computers that operate more like the human brain. Conventional, digital computing systems have separate processing and storage units, causing data-intensive tasks to devour large amounts of energy. With smart devices continuously collecting vast quantities of data, researchers are scrambling to uncover new ways to process it all without consuming an increasing amount of power. Currently, the memory resistor, or “memristor,” is the most well-developed technology that can perform combined processing and memory function. But memristors still suffer from energy costly switching.
“For several decades, the paradigm in electronics has been to build everything out of transistors and use the same silicon architecture,” Hersam said. “Significant progress has been made by simply packing more and more transistors into integrated circuits. You cannot deny the success of that strategy, but it comes at the cost of high power consumption, especially in the current era of big data where digital computing is on track to overwhelm the grid. We have to rethink computing hardware, especially for AI and machine-learning tasks.”
To rethink this paradigm, Hersam and his team explored new advances in the physics of moiré patterns, a type of geometrical design that arises when two patterns are layered on top of one another. When two-dimensional materials are stacked, new properties emerge that do not exist in one layer alone. And when those layers are twisted to form a moiré pattern, unprecedented tunability of electronic properties becomes possible.
For the new device, the researchers combined two different types of atomically thin materials: bilayer graphene and hexagonal boron nitride. When stacked and purposefully twisted, the materials formed a moiré pattern. By rotating one layer relative to the other, the researchers could achieve different electronic properties in each graphene layer even though they are separated by only atomic-scale dimensions. With the right choice of twist, researchers harnessed moiré physics for neuromorphic functionality at room temperature.
“With twist as a new design parameter, the number of permutations is vast,” Hersam said. “Graphene and hexagonal boron nitride are very similar structurally but just different enough that you get exceptionally strong moiré effects.”
To test the transistor, Hersam and his team trained it to recognize similar — but not identical — patterns. Just earlier this month, Hersam introduced a new nanoelectronic device capable of analyzing and categorizing data in an energy-efficient manner, but his new synaptic transistor takes machine learning and AI one leap further.
“If AI is meant to mimic human thought, one of the lowest-level tasks would be to classify data, which is simply sorting into bins,” Hersam said. “Our goal is to advance AI technology in the direction of higher-level thinking. Real-world conditions are often more complicated than current AI algorithms can handle, so we tested our new devices under more complicated conditions to verify their advanced capabilities.”
First the researchers showed the device one pattern: 000 (three zeros in a row). Then, they asked the AI to identify similar patterns, such as 111 or 101. “If we trained it to detect 000 and then gave it 111 and 101, it knows 111 is more similar to 000 than 101,” Hersam explained. “000 and 111 are not exactly the same, but both are three digits in a row. Recognizing that similarity is a higher-level form of cognition known as associative learning.”
In experiments, the new synaptic transistor successfully recognized similar patterns, displaying its associative memory. Even when the researchers threw curveballs — like giving it incomplete patterns — it still successfully demonstrated associative learning.
“Current AI can be easy to confuse, which can cause major problems in certain contexts,” Hersam said. “Imagine if you are using a self-driving vehicle, and the weather conditions deteriorate. The vehicle might not be able to interpret the more complicated sensor data as well as a human driver could. But even when we gave our transistor imperfect input, it could still identify the correct response.”
The study, “Moiré synaptic transistor with room-temperature neuromorphic functionality,” was primarily supported by the National Science Foundation.
Here’s a link to and a citation for the paper,
Moiré synaptic transistor with room-temperature neuromorphic functionality by Xiaodong Yan, Zhiren Zheng, Vinod K. Sangwan, Justin H. Qian, Xueqiao Wang, Stephanie E. Liu, Kenji Watanabe, Takashi Taniguchi, Su-Yang Xu, Pablo Jarillo-Herrero, Qiong Ma & Mark C. Hersam. Nature volume 624, pages 551–556 (2023) DOI: https://doi.org/10.1038/s41586-023-06791-1 Published online: 20 December 2023 Issue Date: 21 December 2023
A December 18, 2023 news item on ScienceDaily shifted my focus from hardware to software when considering memory in brainlike (neuromorphic) computing,
An interdisciplinary team consisting of researchers from the Center for Cognition and Sociality and the Data Science Group within the Institute for Basic Science (IBS) [Korea] revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones, in AI systems.
In the race towards developing Artificial General Intelligence (AGI), with influential entities like OpenAI and Google DeepMind leading the way, understanding and replicating human-like intelligence has become an important research interest. Central to these technological advancements is the Transformer model [Figure 1], whose fundamental principles are now being explored in new depth.
The key to powerful AI systems is grasping how they learn and remember information. The team applied principles of human brain learning, specifically concentrating on memory consolidation through the NMDA receptor in the hippocampus, to AI models.
The NMDA receptor is like a smart door in your brain that facilitates learning and memory formation. When a brain chemical called glutamate is present, the nerve cell undergoes excitation. On the other hand, a magnesium ion acts as a small gatekeeper blocking the door. Only when this ionic gatekeeper steps aside, substances are allowed to flow into the cell. This is the process that allows the brain to create and keep memories, and the gatekeeper’s (the magnesium ion) role in the whole process is quite specific.
The team made a fascinating discovery: the Transformer model seems to use a gatekeeping process similar to the brain’s NMDA receptor [see Figure 1]. This revelation led the researchers to investigate if the Transformer’s memory consolidation can be controlled by a mechanism similar to the NMDA receptor’s gating process.
In the animal brain, a low magnesium level is known to weaken memory function. The researchers found that long-term memory in Transformer can be improved by mimicking the NMDA receptor. Just like in the brain, where changing magnesium levels affect memory strength, tweaking the Transformer’s parameters to reflect the gating action of the NMDA receptor led to enhanced memory in the AI model. This breakthrough finding suggests that how AI models learn can be explained with established knowledge in neuroscience.
C. Justin LEE, who is a neuroscientist director at the institute, said, “This research makes a crucial step in advancing AI and neuroscience. It allows us to delve deeper into the brain’s operating principles and develop more advanced AI systems based on these insights.”
CHA Meeyoung, who is a data scientist in the team and at KAIST [Korea Advanced Institute of Science and Technology], notes, “The human brain is remarkable in how it operates with minimal energy, unlike the large AI models that need immense resources. Our work opens up new possibilities for low-cost, high-performance AI systems that learn and remember information like humans.”
What sets this study apart is its initiative to incorporate brain-inspired nonlinearity into an AI construct, signifying a significant advancement in simulating human-like memory consolidation. The convergence of human cognitive mechanisms and AI design not only holds promise for creating low-cost, high-performance AI systems but also provides valuable insights into the workings of the brain through AI models.
Fig. 1: (a) Diagram illustrating the ion channel activity in post-synaptic neurons. AMPA receptors are involved in the activation of post-synaptic neurons, while NMDA receptors are blocked by magnesium ions (Mg²⁺) but induce synaptic plasticity through the influx of calcium ions (Ca²⁺) when the post-synaptic neuron is sufficiently activated. (b) Flow diagram representing the computational process within the Transformer AI model. Information is processed sequentially through stages such as feed-forward layers, layer normalization, and self-attention layers. The graph depicting the current-voltage relationship of the NMDA receptors is very similar to the nonlinearity of the feed-forward layer. The input-output graph, based on the concentration of magnesium (α), shows the changes in the nonlinearity of the NMDA receptors. Courtesy: IBS
This research was presented at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) before being published in the proceedings, I found a PDF of the presentation and an early online copy of the paper before locating the paper in the published proceedings.
OpenReview is a platform for open peer review, open publishing, open access, open discussion, open recommendations, open directory, open API and open source.
It’s not clear to me if this paper is finalized or not and I don’t know if its presence on OpenReview constitutes publication.
Yes, nanomaterials from Mars! A December 21, 2023 news item on Nanowerk makes the proposition, Note: A link has been removed,
Researchers at the University of Sussex have discovered the transformative potential of Martian nanomaterials, potentially opening the door to sustainable habitation on the red planet. They published their findings in (“Quasi–1D Anhydrite Nanobelts from the Sustainable Liquid Exfoliation of Terrestrial Gypsum for Future Martian-Based Electronics”).
Using resources and techniques currently applied on the International Space Station [ISS] and by NASA [US National Aeronautics and Space Administration], Dr Conor Boland, a Lecturer in Materials Physics at the University of Sussex, led a research group that investigated the potential of nanomaterials – incredibly tiny components thousands of times smaller than a human hair – for clean energy production and building materials on Mars.
Taking what was considered a waste product by NASA and applying only sustainable production methods, including water-based chemistry and low-energy processes, the researchers have successfully identified electrical properties within gypsum nanomaterials – opening the door to potential clean energy and sustainable technology production on Mars.
“This study shows that the potential is quite literally out of this world for nanomaterials. Our study builds off recent research performed by NASA and takes what was considered waste, essentially lumps of rock, and turns it into transformative nanomaterials for a range of applications from creating clean hydrogen fuel to developing an electronic device similar to a transistor, to creating an additive to textiles to increase their robustness.
“This opens avenues for sustainable technology – and building – on Mars but also highlights the broader potential for eco-friendly breakthroughs here on Earth.”
To make the breakthrough the researchers used NASA’s innovative method for extracting water from Martian gypsum, which is dehydrated by the agency to get water for human consumption. This produces a byproduct called anhydrite—considered waste material by NASA, but now shown to be hugely valuable.
The Sussex researchers processed anhydrite into nanobelts – essentially tagliatelle-shaped materials – demonstrating their potential to provide clean energy and sustainable electronics. Furthermore, at every step of their process, water could be continuously collected and recycled.
Dr Boland added:
“We are optimistic of the feasibility of this process on Mars, as it requires only naturally occurring materials – everything we used could, in theory, be replicated on the red planet. Arguably this is the most important goal in making the Martian colony sustainable from the outset.”
While full-scale electronics production may be impractical on Mars due to the lack of clean rooms and sterile conditions, the anhydrite nanobelts hold promise for clean energy production on Earth, and could, later down the line, still have a profound effect on sustainable energy production on Mars.
Here’s what a Martian nanomaterial looks like,
Caption: Two raw rocks used by the researchers (left). Vials show the nanobelts in water, with a close up of the actual nanobelts (right). Credit: University of Sussex
“Geist’s handmade robots made movements as simple as a ping-pong table flapping or coiling up to shoot, but the contact microphones and sound processing documented a percussive, electro, mini symphony.” – Austin Chronicle
There’s mystery in Geist’s music. It’s heady, ASMR-infused dance music — there’s something special happening here, but it’s not immediately clear what.” –– Engadget
“For Geist, the instruments represent not just a new way to make music, but a new way to experience it. The instruments each have a visual component, which makes it possible to watch the sounds as Geist creates them.” – Wired
The performance is fascinating and bewildering, but the music itself provokes one to want to dance in a dimly lit nightclub.” – MixMag
“It doesn’t get geekier than this” – New York Times.
“These robots play electrifying techno music.”– CNET
German sonic artist Moritz Simon Geist will showcase his latest work “Don’t Look At Me” at the Central Presbyterian Church March 15th. With his new robotic instrument Geist is presenting a contemplative ambient performance around the themes attention economy, spatial sound and sine waves. “Don’t Look at Me” was developed as an interactive installation in 2023 in South Korea and uses resonator tubes, light, and vibrato elements to create a fascinating ever-changing soundscape. For the SXSW event, Geist is showcasing his latest compositions with this instrument.
Moritz is returning to SXSW 2024 with a handful of performances and robotic interventions. His works and performances revolve around the questions: How do machines, algorithms and humans interact? How can we find a playful way to interact with non-human music players? And can robots play techno?
Moritz and his team have been developing sound machines and kinetic installations for more than 10 years already, and his works and performances have been shown at festivals and stages around the world. For this SXSW, Moritz is bringing both performances for several techno shows as well as a contemplative ambient show at the Central Presbyterian Church on March 15th [2024]. Here he will present compositions for his latest work “Don’t Look At Me”.
Geist is well known for his performances and self-developed instruments using robots and mechanics as the main sound source. His works have been shown internationally and have been awarded numerous awards in the last years.
Of his return to SXSW, Moritz says, “SXSW 2024 is only the second time I’m playing ‘Don’t Look at Me’ with my new robotic instrument! Playing with a new instrument this complex is always like this first walk outside with a toddler: You never know where you end up: manic laughter at the playground or existential crying in the supermarket.” Regarding his ongoing fascination with machines as instruments, Moritz muses, “When I was younger, I played in a punk rock band, but at some point, I got really annoyed by my fellow musicians, so I swore to myself that I would never play with human musicians again. Jokes aside, I think robotics is a wonderful tool to give a body back to the normally electronically generated sound of techno. The main reason why I’m using robotics as a musical instrument is that the computer is, in my opinion, not the best tool for creating electronic sounds.”
Should you be considering a ticket purchase for the April 15 – 19, 2024 TED event in Vancouver, the cheap ($6250 [USD?]) seats are sold out. Tickets at the next level up are $12,500 and after that, they are $25,000. Should you have more money to burn, you are of course free to become a patron.
A look at the 2024 list of speakers will tell you it is an eclectic list with a significant proportion of speakers focused on the topic of artificial intelligence/robotics.
The three speakers being highlighted here are not focused on artificial intelligence/robotics and have nothing in common with each other (topic wise).
First up, Bill Ackman, a very, very wealthy man, has a messy backstory. Here’s the short description followed by the long one,
Bill Ackman
Founder and CEO, Pershing Square Capital Management
TALK TOPIC
The activist investor playbook (in conversation with Alison Taylor)
Bill Ackman is founder and CEO of the hedge fund Pershing Square Capital Management and a storied activist investor. He is the chairman of Howard Hughes Holdings, a real estate development and management company based in Texas, and a member of the board of Universal Music Group. He is also the co-trustee of The Pershing Square Foundation, a family foundation supporting those tackling important social issues worldwide. At TED2024, Ackman will be interviewed by business professor Alison Taylor.
Mr. Ackman is not entirely self-made, from his Wikipedia entry, Note: Links have been removed,
…
Ackman was raised in Chappaqua, New York, the son of Ronnie I. (née Posner) and Lawrence David Ackman, the former chairman of a New York real estate financing firm, Ackman-Ziff Real Estate Group. [emphases mine] [10][11][12] He is of Ashkenazi Jewish descent.[13][14][15] In 1988, he received a Bachelor of Arts degree magna cum laude in social studies from Harvard College. His thesis was titled Scaling the Ivy Wall: The Jewish and Asian American Experience in Harvard Admissions.[16] In 1992, he received a Master of Business Administration degree from Harvard Business School.[17]
As for the messiness, there’s this from from his Wikipedia entry, Note 1: Links have been removed, Note 2: All emphases are mine,
…
In October 2023, following the onset of the 2023 Israel–Hamas war after the October 7 attack, several Harvard undergraduate student groups signed a letter condemning the Israeli state. The statement held the “Israeli regime entirely responsible for all unfolding violence,” declared that millions of Palestinians in Gaza have been “forced to live in an open-air prison,” and called on Harvard to “take action to stop the ongoing annihilation of Palestinians.”
In response, Ackman called for the publication of the names of all students involved in signing the letter so that he could ensure his company and others do not “inadvertently hire” any of the signatories. Ackman posted, “One should not be able to hide behind a corporate shield when issuing statements supporting the actions of terrorists,” and the names “should be made public so their views are publicly known”.[83] Ackman’s stance was supported by other CEOs such as Jonathan Neman, David Duel and Jake Wurzak.[84] Former Harvard president Lawrence Summers, though agreeing with Ackman on the need to look at employees’ political views, called Ackman’s request for a list of names “the stuff of Joe McCarthy”.[85]
In November 2023, Ackman defended Elon Musk after the latter expressed agreement with a user who asserted that “Jewish communities” supported “hordes of minorities flooding their country” and pushed “dialectical hatred against whites”, describing it as “shoot from the hip commentary”.[86][87]
Ackman also engaged in a campaign to remove Claudine Gay from her position as Harvard’s president. He argued that her response to antisemitism was insufficient and amplified allegations by conservative media that she engaged in plagiarism.[88][89]
On January 3, 2024, Business Insider published an article alleging that Ackman’s wife, Neri Oxman*, plagiarized portions of her dissertation. A day after the article’s publication, Oxman apologized for plagiarizing portions of her dissertation.[90][91]Ackman, in response to the article, pledged to conduct a plagiarism review of all MIT [Massachusetts Institute of Technology] faculty, including MIT’s president, Sally Kornbluth, who, alongside Gay, attended a congressional hearing on antisemitism in higher education.[90]
…
In 2018, Ackman became engaged to Neri Oxman.[94] In January 2019, Oxman and Ackman married at the Central Synagogue in Manhattan,[13] and they had their first child together in spring 2019.[95] In August 2019, Ackman wrote to MIT Media Lab director Joi Ito to discourage him from mentioning Oxman when discussing convicted sex offender Jeffrey Epstein, who had donated $125,000 to Oxman’s lab.[96]
…
*There are more complications where Neri Oxman is concerned. She is an Israeli-American who came to the US in 2005 where she commenced PhD studies at MIT. After graduation she became a professor at MIT, a position she has left to found Oxman Architects in 2020. Despite the company name, the business seems more focused on art installations and experimental work. (sourced from Oxman’s Wikipedia entry)*
I wonder how Mr. Ackman characterizes the difference between activism and actions, which result in the destruction of other people’s careers because you disagree with them.
Ackman’s interviewer, Alison Taylor is an interesting choice given that she is a business professor at New York University’s Stern School of Business and author of a February 6, 2024 article (Corporate Advocacy in a Time of Social Outrage; Businesses can’t weigh in on every issue that employees care about. But they can create a culture of open dialogue and ethical transparency [emphasis mine]) for the Harvard Business Review, The article is excerpted from Taylor’s book, “Higher Ground: How Business Can Do the Right Thing in a Turbulent World,” published by Harvard Business Review Press, Feb. 13 2024.
This talk looks like an attempt to rehabilitate Mr. Ackman’s reputation while giving Ms. Taylor publicity for her newly published book in an environment where neither is likely to be strongly challenged.
The two speakers I’m most excited about are Tammy Ma, fusion physicist, and Brian Stokes Mitchell, actor and singer.
As there is a local company known as General Fusion, the topic of fusion energy has been covered here a number of times including a relevant to Ms. Ma’s TED appearance December 13, 2022 posting, “US announces fusion energy breakthrough.”
Tammy Ma is the lead for the Inertial Fusion Energy Initiative at Lawrence Livermore National Laboratory, where she creates miniature stars in order to develop ways to harness their power as a clean, limitless energy source for the future. She was a member of the team at the National Ignition Facility that achieved fusion ignition in December 2022 — a reaction that, for the first time in history, released more energy than it consumed. [emphasis mine] A fellow of the American Physical Society, she serves on the Fusion Energy Sciences Advisory Committee, advising the US Department of Energy’s Office of Science on issues related to fusion energy and plasma research.
Brian Stokes Mitchell is a Tony-winning actor, singer and music producer. A veteran of 11 Broadway shows and a member of the Theatre Hall of Fame, he has performed iconic roles including Frasier’s snarky upstairs neighbor Cam, Hillary’s bungie-jumping boyfriend on the Fresh Prince of Bel-Air, The Prince of Egypt (singing “Through Heaven’s Eyes”) and, most recently, Stanley Townsend in the 2024 feature film Shirley with Regina King. He has performed twice at the White House, serves on the board of Americans for the Arts and is one of the founding members of Black Theatre United.
Stokes Mitchell performed at the Library of Congress Gershwin Prize for Popular Song ceremony in 2017 when Tony Bennett was the honoree. The performances were top notch but something happened when Stokes Mitchell took the stage for his first number. The audience was electrified as was every performer who came after him, some of them giving their second performance of the evening. There is no guarantee that Mr. Stoke Mitchell can do that at his 2024 TED talk but that is the blessing and the curse of live performances.
I have two news bits both of them concerned with magnets.
Patent for magnets that can be made without rare earths
I’m starting with the patent news first since this is (as the company notes in its news release) a “Landmark Patent Issued for Technology Critically Needed to Combat Chinese Monopoly.”
For those who don’t know, China supplies most of the rare earths used in computers, smart phones, and other devices. On general principles, having a single supplier dominate production of and access to a necessary material for devices that most of us rely on can raise tensions. Plus, you can’t mine for resources forever.
Nanotechnology Discovery by 2023 Nobel Prize Winner Became Launch Pad to Create Permanent Magnets without Rare Earths from China
NEW YORK, NY, UNITED STATES, December 19, 2023 /EINPresswire.com/ — Integrated Nano-Magnetics Corp, a wholly owned subsidiary of Nanocrystal Technology LP, was awarded a patent for technology built upon a fundamental nanoscience discovery made by Aleksey Yekimov, its former Chief Scientific Officer.
This patent will enable the creation of strong permanent magnets which are critically needed for both industrial and military applications but cannot be manufactured without certain “rare earth” elements available mostly from China.
At a glittering awards ceremony held in Stockholm on December10, 2023, three scientists, Aleksey Yekimov, Louis Brus (Professor at Columbia University) and Moungi Bawendi (Professor at MIT) were honored with the Nobel Prize in Chemistry for their discovery of the “quantum dot” which is now fueling practical applications in tuning the colors of LEDs, increasing the resolution of TV screens, and improving MRI imaging.
As stated by the Royal Swedish Academy of Sciences, “Quantum dots are … bringing the greatest benefits to humankind. Researchers believe that in the future they could contribute to flexible electronics, tiny sensors, thinner solar cells, and encrypted quantum communications – so we have just started exploring the potential of these tiny particles.”
Aleksey Yekimov worked for over 19 years until his retirement as Chief Scientific Officer of Nanocrystals Technology LP, an R & D company in New York founded by two Indian-American entrepreneurs, Rameshwar Bhargava and Rajan Pillai.
Yekimov, who was born in Russia, had already received the highest scientific honors for his work before he immigrated to USA in 1999. Yekimov was greatly intrigued by Nanocrystal Technology’s research project and chose to join the company as its Chief Scientific Officer.
During its early years, the company worked on efficient light generation by doping host nanoparticles about the same size as a quantum dot with an additional impurity atom. Bhargava came up with the novel idea of incorporating a single impurity atom, a dopant, into a quantum dot sized host, and thus achieve an extraordinary change in the host material’s properties such as inducing strong permanent magnetism in weak, readily available paramagnetic materials. To get a sense of the scale at which nanotechnology works, and as vividly illustrated by the Nobel Foundation, the difference in size between a quantum dot and a soccer ball is about the same as the difference between a soccer ball and planet Earth.
Currently, strong permanent magnets are manufactured from “rare earths” available mostly in China which has established a near monopoly on the supply of rare-earth based strong permanent magnets. Permanent magnets are a fundamental building block for electro-mechanical devices such as motors found in all automobiles including electric vehicles, trucks and tractors, military tanks, wind turbines, aircraft engines, missiles, etc. They are also required for the efficient functioning of audio equipment such as speakers and cell phones as well as certain magnetic storage media.
The existing market for permanent magnets is $28 billion and is projected to reach $50 billion by 2030 in view of the huge increase in usage of electric vehicles. China’s overwhelming dominance in this field has become a matter of great concern to governments of all Western and other industrialized nations. As the Wall St. Journal put it, China’s now has a “stranglehold” on the economies and security of other countries.
The possibility of making permanent magnets without the use of any rare earths mined in China has intrigued leading physicists and chemists for nearly 30 years. On December 19, 2023, a U.S. patent with the title ‘’Strong Non Rare Earth Permanent Magnets from Double Doped Magnetic Nanoparticles” was granted to Integrated Nano-Magnetics Corp. [emphasis mine] Referring to this major accomplishment Bhargava said, “The pioneering work done by Yekimov, Brus and Bawendi has provided the foundation for us to make other discoveries in nanotechnology which will be of great benefit to the world.”
This research offers a pathway to neuromorphic (brainlike) computing with chiral (or twisted) magnets, which, as best as I understand it, do not require rare earths. From a November13, 2023 news item on ScienceDaily,
A form of brain-inspired computing that exploits the intrinsic physical properties of a material to dramatically reduce energy use is now a step closer to reality, thanks to a new study led by UCL [University College London] and Imperial College London [ICL] researchers.
In the new study, published in the journal Nature Materials, an international team of researchers used chiral (twisted) magnets as their computational medium and found that, by applying an external magnetic field and changing temperature, the physical properties of these materials could be adapted to suit different machine-learning tasks.
Dr Oscar Lee (London Centre for Nanotechnology at UCL and UCL Department of Electronic & Electrical Engineering), the lead author of the paper, said: “This work brings us a step closer to realising the full potential of physical reservoirs to create computers that not only require significantly less energy, but also adapt their computational properties to perform optimally across various tasks, just like our brains.
“The next step is to identify materials and device architectures that are commercially viable and scalable.”
Traditional computing consumes large amounts of electricity. This is partly because it has separate units for data storage and processing, meaning information has to be shuffled constantly between the two, wasting energy and producing heat. This is particularly a problem for machine learning, which requires vast datasets for processing. Training one large AI model can generate hundreds of tonnes of carbon dioxide.
Physical reservoir computing is one of several neuromorphic (or brain inspired) approaches that aims to remove the need for distinct memory and processing units, facilitating more efficient ways to process data. In addition to being a more sustainable alternative to conventional computing, physical reservoir computing could be integrated into existing circuitry to provide additional capabilities that are also energy efficient.
In the study, involving researchers in Japan and Germany, the team used a vector network analyser to determine the energy absorption of chiral magnets at different magnetic field strengths and temperatures ranging from -269 °C to room temperature.
They found that different magnetic phases of chiral magnets excelled at different types of computing task. The skyrmion phase, where magnetised particles are swirling in a vortex-like pattern, had a potent memory capacity apt for forecasting tasks. The conical phase, meanwhile, had little memory, but its non-linearity was ideal for transformation tasks and classification – for instance, identifying if an animal is a cat or dog.
Co-author Dr Jack Gartside, of Imperial College London, said: “Our collaborators at UCL in the group of Professor Hidekazu Kurebayashi recently identified a promising set of materials for powering unconventional computing. These materials are special as they can support an especially rich and varied range of magnetic textures. Working with the lead author Dr Oscar Lee, the Imperial College London group [led by Dr Gartside, Kilian Stenning and Professor Will Branford] designed a neuromorphic computing architecture to leverage the complex material properties to match the demands of a diverse set of challenging tasks. This gave great results, and showed how reconfiguring physical phases can directly tailor neuromorphic computing performance.”
The work also involved researchers at the University of Tokyo and Technische Universität München and was supported by the Leverhulme Trust, Engineering and Physical Sciences Research Council (EPSRC), Imperial College London President’s Excellence Fund for Frontier Research, Royal Academy of Engineering, the Japan Science and Technology Agency, Katsu Research Encouragement Award, Asahi Glass Foundation, and the DFG (German Research Foundation).
Here’s a link to and a citation for the paper,
Task-adaptive physical reservoir computing by Oscar Lee, Tianyi Wei, Kilian D. Stenning, Jack C. Gartside, Dan Prestwood, Shinichiro Seki, Aisha Aqeel, Kosuke Karube, Naoya Kanazawa, Yasujiro Taguchi, Christian Back, Yoshinori Tokura, Will R. Branford & Hidekazu Kurebayashi. Nature Materials volume 23, pages 79–87 (2024) DOI: https://doi.org/10.1038/s41563-023-01698-8 Published online: 13 November 2023 Issue Date: January 2024
I received a March 1, 2024 announcement (email) from Sense about Science about a new lecture series starting in late March 2024,
Critical thinking, open inquiry and the freedom to question have been fundamental to the development of the scientific method and the expansion of knowledge. To explore these ideas further, we’re pleased to invite you to a series of lectures and discussions we are running in partnership with the Free Speech Union.
In Science, Scepticism and Free Speech, Professor Alan Sokal and Professor Paul Garner will make the case for why we should care about science but also question it, concluding with our director Tracey Brown and Toby Young discussing the relationship between science, the public and democratic decision-making.
Events will take place at 7.30pm on 27 March, 27 April and 29 May [2024] at the Art Workers’ Guild in central London. Tickets include a glass of wine, and each event will include plenty of time for audience questions.
f you can’t attend in person, we will send you a Zoom link to join online, free of charge, shortly before each event. Please put the dates in your diary now.
We are holding a series of three lectures and discussions in partnership with The Free Speech Union, a public interest body that stands up for the speech rights of its members and campaigns for free speech more widely.
Critical thinking, open inquiry and the freedom to question have been fundamental to the development of the scientific method and the expansion of knowledge. The ideal of objectivity and the goal of truth require the discipline to abstract itself from individuals, from interests and from sentiment, all of which may explain why science is always subject to pressures on its integrity.
SCIENCE, SCEPTICISM and FREE SPEECH is a unique series of three events – two lectures from eminent scientists and a final session bringing together public figures concerned with the relationship between science, the public and democratic decision-making. Each session will include plenty of time for audience Q and A.
You are welcome to attend the entire series or individual events. It will also be possible to join online for free – sign up to our mailing list and we’ll send you a link shortly before each event. Join our mailing list to watch online
In-person tickets for each event are £10 for FSU Members, £16 for members of the public, £12 for under-25s. Tickets include a glass of wine on arrival.
The individual events:
What is Science and Why Should We Care?
Wednesday 27 March, 2024, 7.30pm, The Hall, Art Workers’ Guild, 6 Queen Square, London, WC1N 3AT.
With Professor Alan Sokal,Professor of Mathematics, University College London and Professor Emeritus of Physics, New York University.
Professor Sokal will draw out the unique contribution of the scientific method to human progress and address contemporary trends which threaten to undermine it, in particular, politicisation and censorship.
Wednesday 24 April, 2024, 7.30pm, The Hall, Art Workers’ Guild, 6 Queen Square, London, WC1N 3AT.
With Professor Paul Garner, professor emeritus in Evidence Synthesis in Global Health at the Liverpool School of Tropical Medicine.
Professor Garner will argue that scepticism is integral to good science and make the case for using the tools of science to hold authority to account. Building on the themes of Professor Sokal’s first lecture, Professor Garner will share noteworthy examples where an insistence on robust evidence and research has led not only to scientific breakthroughs but to the exposure of malpractice.
About our speaker
Professor Garner stepped back from full-time employment in 2022 but continues as emeritus. He supports academic staff carrying out systematic reviews on infectious diseases, developing further research on post-viral syndrome, and continued collaborative work in developing guideline methods. He was previously Coordinator of the Centre for Evidence Synthesis in Global Health, Co-ordinating Editor of the Cochrane Infectious Diseases Group, and Director of the Research, Evidence and Development Initiative. Professor Garner is also on the Board of Trustees of Sense about Science.
Science Under Pressure: Restoring Public Confidence
Wednesday 29th May, 2024, 7.30pm, The Hall, Art Workers’ Guild, 6 Queen Square, London, WC1N 3AT.
In this concluding conversation, our two speakers, Tracey Brown, Director of Sense about Science, and Toby Young, General Secretary of the Free Speech Union and Editor-in-Chief of the Daily Sceptic, will reflect on the issues raised in the earlier lectures and debate how the relationship between science and the public might be improved. When does healthy scepticism become a refusal to accept well-evidenced truth? How can we uphold science without succumbing to ‘scientism’? How can the public distinguish between relevant expertise and those who merely have strong opinions and loud voices?
About our speakers
Tracey Brown OBE is the director of Sense about Science, where she has turned the case for sound science and evidence into popular campaigns, including AllTrials, a global campaign for the reporting of all clinical trial outcomes. Tracey leads Sense about Science’s work on transparency of decisions, to ensure the public has access to the same evidence as decision-makers. This has included drafting the Principles for the Treatment of Independent Scientific Advice, and the Transparency of Evidence framework, now internationally emulated. In 2022 she led the What Counts? inquiry, and a national survey of the public’s experience of policy information during the pandemic, calling for all policy announcements to meet an evidence transparency standard. Tracey is honorary Professor, Science, Technology and Engineering in Public Policy at UCL.
Toby Young is the General Secretary of the Free Speech Union, a non-partisan, mass membership public interest body that stands up for the speech rights of its members. He co-founded four schools and a multi-academy trust in West London, served as a Fulbright Commissioner and is the author of four books, the best known of which is How to Lose Friends & Alienate People (2001). He is an associate editor of the Spectator, where he’s written a weekly column since 1998, and Editor-in-Chief of the Daily Sceptic. He was formerly an Associate Editor of Quillette and is the author or co-author of three peer reviewed academic articles.
As promised, here’s more about the hoax that Professor Alan Sokal perpetrated, from the Sokal affair Wikipedia entry, Note: Links have been removed,
The Sokal affair, also called the Sokal hoax,[1] was a demonstrative scholarly hoax performed by Alan Sokal, a physics professor at New York University and University College London. In 1996, Sokal submitted an article to Social Text, an academic journal of cultural studies. The submission was an experiment to test the journal’s intellectual rigor, specifically to investigate whether “a leading North American journal of cultural studies—whose editorial collective includes such luminaries as Fredric Jameson and Andrew Ross—[would] publish an article liberally salted with nonsense if (a) it sounded good and (b) it flattered the editors’ ideological preconceptions.”[2]
The article, “Transgressing the Boundaries: Towards a Transformative Hermeneutics of Quantum Gravity”,[3] was published in the journal’s spring/summer 1996 “Science Wars” issue. It proposed that quantum gravity is a social and linguistic construct. The journal did not practice academic peer review and it did not submit the article for outside expert review by a physicist.[3][4] Three weeks after its publication in May 1996, Sokal revealed in the magazine Lingua Franca that the article was a hoax.[2]
The hoax caused controversy about the scholarly merit of commentary on the physical sciences by those in the humanities; the influence of postmodern philosophy on social disciplines in general; and academic ethics, including whether Sokal was wrong to deceive the editors or readers of Social Text; and whether Social Text had abided by proper scientific ethics.
In 2008, Sokal published Beyond the Hoax, which revisited the history of the hoax and discussed its lasting implications.
Not much has changed (!) since Christmas when this December 19, 2023 article by Rae Hodge for Salon about changes where science journalism is concerned was published, Note; Links have been removed,
Advance Publications is owned by a couple of billionaire families. Condé Nast is owned by Advance Publications. Wired magazine is owned by Condé Nast. And this week — as the world reaches the hottest temperatures on record, as another deadly COVID-19 variant steals into the public’s lungs, as owners of unregulated artificial intelligence threaten to unleash mass unemployment with their article-generating internet toys and the whole world needs increasingly complex topics explained — the science desk at Wired got gutted.
It’s not just Wired, of course. Recurrent Ventures axed 151-year-old Popular Science magazine this year, and presumably the last 13 staffers to steward its cultural legacy, leaving only five editorial staffers to crew the online-only ship. There are no full-time staff writers left at National Geographic after this year, and The Washington Post took a tough hit too. Climate desks at CNBC and Gizmodo got cut down. As did the climate team remaining at CNN, the select beat preserved in 2008 after the outlet axed the general science desk.
Only a couple of years after buying it, billionaire-owned Red Ventures pummeled CNET with layoffs before making it one of the first major outlets to get caught pushing AI-generated articles. Short-sighted layoffs also hit the science desks at Inverse and FiveThirtyEight. Buzzfeed News, with its powerhouse science desk, was brought down. Fortress Investment Group laid off “under 100” Vice News staffers. And 74 journalists at the L.A. Times got the ax. Great Hill Partners owns G/O Media which burned Jezebel and its editorial staffers right when women’s health is facing greater attack in this country than it has since Roe v. Wade.
“We stand in solidarity with you. You are valued. Your work matters,” wrote Cassandra Willyard, president of the National Association of Science Writers, in a May release. “Only five months in, 2023 has proven to be a year of layoffs and shrinking budgets, threatening science journalists and editors whose expertise is crucially important.”
Private equity catastrophes, faceless hedges and trusts, unchecked conglomerates and the ongoing shell game of parent companies — the wealthy gutted US science journalism in 2023 through a number of opaque and convoluted financial vehicles. And there’s no evidence to suggest that trend will stop. Rather, ad-reliant revenue models of wealthy digital proprietors are now failing so hard that their slash-and-burn newsroom tactics are likely to get more aggressive as short-selling the news ramps up to a fire-sale finale. One recent report holds that news outlets saw 2,681 job cuts this year. That’s more than the totals in 2021 or 2022.
…
While it isn’t science-specific, the Canadian government has acted to funnel more money to traditional news organizations from digital platforms. The Canadian government passed the highly criticized Bill C-18, “Bill C-18: An Act respecting online communications platforms that make news content available to persons in Canada,” also known as, the “Online News Act” in June 2023.
I have two explanations of the act, (a) the Canadian federal government’s Explanatory Note (updated November 27, 2023) and (b) CTV news online’s Rachel Aiello and Alexandra Mae Jones wrote this July 20, 2023 article, “Understanding Bill C-18: Canada’s Online News Act and its proposed rules, explained” (updated [coincidentally] December 19, 2023).
Hopefully, some of this money will find its way to science writing/journalism and the legislation will provide a way forward for legislation in other countries.
