A new era of image generation
文章的核心论点是ChatGPT Images 2.0代表了图像生成的新时代,这可能需要进一步了解该技术如何改变现有的图像生成方式。
A new era of image generation
文章的核心论点是ChatGPT Images 2.0代表了图像生成的新时代,这可能需要进一步了解该技术如何改变现有的图像生成方式。
What a foresight to say when Bush urges scientists, once the war ends, to focus on development of tools which can make accumulated knowledge more accessible, thereby extending the power of the human mind. It show's how he thought of the work he was doing
https://web.archive.org/web/20230609140440/https://techpolicy.press/artificial-intelligence-and-the-ever- receding-horizon-of-the-future/
Via Timnit Gebru https://dair-community.social/@timnitGebru/110498978394074048
In 2010, Paul Dourish and Genevieve Bell wrote a book about tech innovation that described the way technologists fixate on the “proximate future” — a future that exists “just around the corner.” The authors, one a computer scientist, and the other a tech industry veteran, were examining emerging tech developments in “ubiquitous computing,” which promised that the sensors, mobile devices, and tiny computers embedded in our surroundings would lead to ease, efficiency, and general quality of life. Dourish and Bell argue that this future focus distracts us from the present while also absolving technologists of responsibility for the here and now.
Proximate Future is a future that is 'nearly here' but never quite gets here. Ref posits this is a way to distract from issues around a tech now and thus lets technologists dodge responsibility and accountability for the now, as everyone debates the issues of a tech in the near future. It allows the technologists to set the narrative around the tech they develop. Ref: [[Divining a Digital Future by Paul Dourish Genevieve Bell]] 2010
Vgl the suspicious call for reflection and pause wrt AI by OpenAI's people and other key players. It's a form of [[Ethics futurising dark pattern 20190529071000]]
It may not be a fully intentional bait and switch all the time though: tech predictions, including G hypecycle put future key events a steady 10yrs into the future. And I've noticed when it comes to open data readiness and before that Knowledge management present vs desired [[Gap tussen eigen situatie en verwachting is constant 20071121211040]] It simply seems a measure of human capacity to project themselves into the future has a horizon of about 10yrs.
Contrast with: adjacent possible which is how you make your path through [[Evolutionair vlak van mogelijkheden 20200826185412]]. Proximate Future skips actual adjacent possibles to hypothetical ones a bit further out.
Ryan Randall @ryanrandall@hcommons.socialEarnest but still solidifying #pkm take:The ever-rising popularity of personal knowledge management tools indexes the need for liberal arts approaches. Particularly, but not exclusively, in STEM education.When people widely reinvent the concept/practice of commonplace books without building on centuries of prior knowledge (currently institutionalized in fields like library & information studies, English, rhetoric & composition, or media & communication studies), that's not "innovation."Instead, we're seeing some unfortunate combination of lost knowledge, missed opportunities, and capitalism selectively forgetting in order to manufacture a market.
https://hcommons.social/@ryanrandall/109677171177320098
We appreciate this is a long span of time, and were concerned why any specific artificial memory system should last for so long.
I suspect that artificial memory systems, particularly those that make some sort of logical sense, will indeed be long lasting ones.
Given the long, unchanging history of the Acheulean hand axe, as an example, these sorts of ideas and practices were handed down from generation to generation.
Given their ties to human survival, they're even more likely to persist.
Indigenous memory systems in Aboriginal settings date to 65,000 years and also provide an example of long-lived systems.
Science fiction writers and futurists, on the other hand, are free from restraints when it comes to imagining the future, and can also offer an outsider’s view.
Marques, M. D., Kerr, J., Williams, M., Ling, M., & McLennan, J. (2021). Associations Between Conspiracism and the Rejection of Scientific Innovations. PsyArXiv. https://doi.org/10.31234/osf.io/y9mnb
Day. G., Shea. G., (2020). COVID-19: 3 ways businesses can find growth opportunities during the crisis. World Economic Forum. Retrieved from https://www.weforum.org/agenda/2020/06/innovation-rethink-wharton-covid19-coronavirus
Naudé. W., (2020). Artificial Intelligence against COVID-19: An Early Review. Institute of Labor Economics. Retrieved from: https://covid-19.iza.org/publications/dp13110/
The Alchemy of Us: How Humans and Matter Transformed One Another | IndieBound.org. (n.d.). Retrieved August 26, 2020, from https://www.indiebound.org/book/9780262043809
Younes, G. A., Ayoubi, C., Ballester, O., Cristelli, G., de Rassenfosse, G., Foray, D., Gaule, P., Pellegrino, G., van den Heuvel, M., Webster, B., & Zhou, L. (2020). COVID-19_Insights from Innovation Economists [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/b5zae
Coping with the Crisis | Introduction. (n.d.). The Innovation in Politics Institute. Retrieved July 18, 2020, from https://innovationinpolitics.eu/en/coping-with-the-coronavirus-crisis/introduction/
Jena, P. K. (2020). Challenges and Opportunities created by Covid-19 for ODL: A case study of IGNOU [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jy2td
Haley, C., Orlik, J., Czibor, E., Cuello, H., Firpo, T., Goettsch, M., Stouffs, L., Smith, L. (2020 April 09). There will be no 'back to normal'. Nesta. nesta.org.uk/blog/there-will-be-no-back-normal/
UK Government. (2020 April 03). £20 million for ambitious technologies to build UK resilience following coronavirus outbreak. Gov.uk. https://www.gov.uk/government/news/20-million-for-ambitious-technologies-to-build-uk-resilience-following-coronavirus-outbreak
EUvsVirus. Pan-European hackathon. https://euvsvirus.org/
Kleinman, M. (2020 April 16). Innovation agency Nesta backs UK edtech start-up BibliU. Sky News. https://news.sky.com/story/innovation-agency-nesta-backs-uk-edtech-start-up-bibliu-11974089
Inside the Infinite Imagination of a Computer -- James Bridle
Known Unknowns -- James Bridle
The 3D Additivist Manifesto
Platform capitalism, digital technology, and the future of work
How Complex Systems Fail
The Whale and the Reactor (Langdon Winner)
Many of the world’s top universities have embraced Massive Open Online Courses (known as MOOCs).
Forbes is a business website that also focuses on innovation and technology
Rating: 8/10
Instructional Design Strategies for Intensive Online Courses: An Objectivist-Constructivist Blended Approach
This was an excellent article Chen (2007) in defining and laying out how a blended learning approach of objectivist and constructivist instructional strategies work well in online instruction and the use of an actual online course as a study example.
RATING: 4/5 (rating based upon a score system 1 to 5, 1= lowest 5=highest in terms of content, veracity, easiness of use etc.)
Distance Education Trends: Integrating new technologies to foster student interaction and collaboration
This article explores the interaction of student based learner-centered used of technology tools such as wikis, blogs and podcasts as new and emerging technology tools. With distance learning programs becoming more and more popular, software applications such as Writeboard, InstaCol and Imeem may become less of the software of choice. The article looks closely at the influence of technology and outcomes.
RATING: 4/5 (rating based upon a score system 1 to 5, 1= lowest 5=highest in terms of content, veracity, easiness of use etc.)
performance curves beginning to level off – because of our inability to automate the design work needed to support further hardware improvements. Wed end up with some very powerful hardware, but without the ability to push it further
Addressing the question of singularity, the author takes on an interesting perspective. One rationalization or opposing view is that technology is only as informational and intelligent as the creator itself. Just as the Mores conclude, "the computational competence of single neurons may be far higher than generally believed" and that "our present computer hardware might be [] 10 orders of magnitude short [compared to] our heads". This means that AI cannot surpass human intelligence as popularly believed. Rather, the article conjectures the possibility that if singularity were to occur, further innovation and improvements could never be made. I assume this is a biological and anatomical argument. Thus, implying that the technological constraints of AI cause it to be inferior to the biological makeup of the human brain. Thus, the author suggests that singularity can never really be fully realized.
Must those not presentlyidentified as creative be shown in fact to be inventors in order tobe fully recognized? Thisquestion suggests that we need to pay close attention to the tensions and contradictionsthat arise when we adopt a strategy that distributes practices previously identifiedexclusively with certain people and places (for example, with privileged white menworking in elite institutions of science and technology) across a wider landscape (one thatincludes women). In distributing those practices more widely, they are givencorrespondingly greater presence. A counter project, therefore, is to question the valueplaced on innovation itself. The aim is to understand how a fascination with change andtransformation might not be universal, but rather specifically located and with particularpolitical consequences for women, both in termsof the possibilities that are available tothem, and the visibility of their already existing contributions.
Recent research on the actual work involved in putting technologies into usehighlights the mundane forms of inventive yet taken for granted labor, hidden in thebackground, that are necessary to the success of complex sociotechnical arrangements.
Why are there poor in this world where technology has helped create sufficient abundance to provide for basic needs including food, homes and care for all?
Innovations in Technology is more a proprietary community than open source.
Thomas Edison or other mythic geniuses.
In 2017 most people (outside of students) have access to counter narratives: Edison was a patent pirate, actual geniuses like Tesla and Jobs are flawed people, academic biographies are more hagiographic than factual...
You’ll see lots of lightbulbs
Sometimes a light bulb is just a light bulb. I made these high intensity short-arc mercury-vapor lamps used to micro-photolithograph masks onto silicon wafers before depositing the metal in a vacuum, firing the metal in a glass lined furnace, chopping the wafers into "chips" and soldering the leads to make "computer chips." I worked beside the glassblower that patented these lamps at his shop in Santa Clara, California, or, if you prefer; Silicon Valley.
