2407241731 an index of references & links as a separate post
for agents of creative productivity
Instead of bookmarking and filing away, incorporating an extended public reference list, is a conversational aid. Normally, as a workflow, links are saved onto Raindrop.io under specific book projects. That is in the collection mode. If it is directly referenced for a current {OBSERVATION} in session, then it is incorporated into the section discussing it. In the last week, as there were several documents, papers, podcasts, essays, and miscellaneous pointers which could exist in multiple locations, referencing it as a collection to get back to in the context of trying to define the week that was July 13th to 21st of 2024.
The Index is a snapshot of definite time centring around generative AI chatter. I have added categories since the set ended up longer than expected. It is a loose record between an X drama on a HR company’s attempt to consider AI agents as employees to OpenAI testing SearchGPT which is thankfully free. The Explore tab on X is the source to lead to the week’s technology highlights. 2024 is when generative AI becomes multimodal from a purely text only state in 2023. I have not tracked how video or sound has evolved, mostly owing to the lack of resources. In principle workflows once a medium is addressed it seems scalable.
General
Architecture
The architecture of dispossession: On the dark side of architecture and art in transforming original spaces and displacing people
Generative AI, Workflows
This HR company tried to treat AI bots like people — it didn’t go over well / After backlash, Lattice canceled a feature that would let organizations make employee records for AI workers.
Today, Lattice Makes History and Leads the Way in Responsible Employment of AI
Managing AI Employees
On the one hand, this is wild. On the other hand, it makes perfect sense to use our current system of managing employees–performance reviews, training, feedback, yearly bonuses and so on–to manage AIs. In essence, human management systems become the interface for AI workers.
Every team will soon include AI workers. At first, this will be the AI stenographer who keeps the minutes, the admin who reminds everyone of their tasks, and the PowerPoint designer who puts together presentations but quickly this will evolve and some AIs will naturally take on supervisory roles until, my boss is an AI, will not seem strange.A.I. Needs Copper. It Just Helped to Find Millions of Tons of It. The deposit, in Zambia, could make billions for Silicon Valley, provide minerals for the energy transition and help the United States in its rivalry with China.
“We don’t drill for metals, we drill for information, it puts the science into eureka.”
Dwarkesh Patel’s Quest to Learn Everything - Ep. 27
Writing good prompts for others is likely harder than writing good prompts for oneself
ChatGPT Is Changing Our Understanding of the Human Intellect
How will ChatGPT change the way we think and work? We need to think about the human aspect of using AI in our everyday lives and how it will influence the ways in which we perceive and interact with one another
ChatGPT And Reimagining Human Intelligence "human intelligence today is measured by a series of tests and skills - these evaluations may no longer apply. We will need to collectively recognize that human intelligence is an evolving concept and should be focused on reaching beyond what any tools of the moment offer, and always looking beyond whatever tools are likely to exist in the near-term and intermediate-term future. What has changed between the examples and the present is the sheer speed at which new technology is arriving and achieving global reach. This will require a much more fluid and agile assessment of needed intelligence - matching future problems to human brains.”
The impact of ChatGPT on human skills: A quantitative study on twitter data
The Internet Creator's Guide to the Future - Ep. 26 with Steph Smith
Meet the Billion-Dollar Startup Using AI to Disrupt Media and Advertising
Creating The First AI Travel Ad For Less Than $100 – Visit India, The Real Life Jungle Book
Adapt or Die: AI's Inevitable Role in Advertising. AI and Music: Harmony or Discord? / Watching from the Sideline? It’s Time to Get on the Field
Tech vs. Talent: The Struggle for Creative Revenue. Battle of the Uploads: YouTube vs. TikTok vs. Meta! / The AI Wire
Electric Dreams: Tate Modern's AI Art Odyssey. AI Art Explosion: The Big Three by the Numbers / Sora’s Latest Showcase
Generative AI, Discussions
A thousand years of history and contemporary evidence make one thing clear. Progress depends on the choices we make about technology. New ways of organizing production and communication can either serve the narrow interests of an elite or become the foundation for widespread prosperity.
Can We Have Pro-Worker AI? Choosing a path of machines in service of minds
Will A.I. Be a Creator or a Destroyer of Worlds?
A.I. has revealed unfathomable vistas, as well as ungraspable, unrecognizable vulnerabilities — and the process has only just begun.
Why Machines Learn. The Elegant Maths Behind Modern AI
AI is confusing — here’s your cheat sheet. If you can’t tell the difference between AGI and RAG, don’t worry! We’re here for you.
How Can Organizations Think Differently to Get the Most Out of AI? Tools will change, but the foundation stays the same. Data science is an expanding universe of possibilities, so the role of the data scientist is more critical than ever.
Generative AI Can Democratize Access to Knowledge and Skills. Democratizing GenAI reinvents the way work is done by improving existing processes. It opens up access to information and skills across roles and business functions, including non-technical ones.
AI is not "democratizing creativity." It's doing the opposite. Why Silicon Valley's favorite AI buzz phrase is so misleading and insulting
Experiment finds AI boosts creativity individually — but lowers it collectively
While these results point to an increase in individual creativity, there is risk of losing collective novelty. In general equilibrium, an interesting question is whether the stories enhanced and inspired by AI will be able to create sufficient variation in the outputs they lead to. Specifically, if the publishing (and self-publishing) industry were to embrace more generative AI-inspired stories, our findings suggest that the produced stories would become less unique in aggregate and more similar to each other. This downward spiral shows parallels to an emerging social dilemma: If individual writers find out that their generative AI-inspired writing is evaluated as more creative, they have an incentive to use generative AI more in the future, but by doing so, the collective novelty of stories may be reduced further. In short, our results suggest that despite the enhancement effect that generative AI had on individual creativity, there may be a cautionary note if generative AI were adopted more widely for creative tasks.
Generative AI enhances individual creativity but reduces the collective diversity of novel content
What happens when ChatGPT starts to feed on its own writing? AI chatbots won’t destroy human originality. But they may homogenize our lives and flatten our reality.
An Archipelago Of Subcultures. Deculturation has spawned a collage of clashing identities.
As he points out, “Common imaginaries have disappeared. Utopia has been replaced by moral judgement and support for categorical causes.” Instead of trying to change society as a whole, we see “the demand from an atomized set of subjective positions for safe spaces for themselves” — not a politics of engagement or integration, but a practice of social protectionism. “Intersectionality” has become a demand for recognition of individuals suffering from multiple oppressions instead of a cry for revolution to overcome their circumstance by assembling a united front with others.
The reality is that generative AI isn't good at replacing jobs, but commoditizing distinct acts of labor, and, in the process, the early creative jobs that help people build portfolios to advance in their industries.
The four horsemen of gen AI risk.
I’m seeing the same thing—and the four horsemen of risk that comes along with it. First, there is a data risk, a fear of, “Do we have proprietary data that someone is going to leak out through this model and make accessible to the broader world?”
Then there’s the intellectual property risk that has companies asking themselves, “Is there some intellectual property somewhere in this model that’s going to cause someone to come after us someday and claim that we built part of our business on their property and demand a return?”
And then there’s the biggest risk, the one I’ve already mentioned: hallucinations. It’s simply not relatable. I asked it to write my biography, and it cited me as the author of a book that I not only didn’t write but that doesn’t exist. That kind of stuff is a little bit scary.
Number four is bias. Can we be sure that there are not biases baked into the data the model was trained on that will continue to be displayed going forward? How do we make use of this incredibly powerful technology, protect our data, make sure we’re not exposing ourselves to intellectual property risk, and make sure it’s accurate?
The problem is that people are going to get lazy and just let it go. They’re not going to double-check everything. What’s the point of having the technology if you feel you have to double-check every part of it? So I still think there are a lot of issues driving caution within organizations that have to be sorted out.Confronting Impossible Futures. We shouldn't be certain about what is next, but we should plan for it
A.I. Can Write Poetry, but It Struggles With Math. A.I.’s math problem reflects how much the new technology is a break with computing’s past.
The Adoption of ChatGPT. We study the adoption of ChatGPT, the icon of Generative AI, using a large-scale survey experiment linked to comprehensive register data in Denmark. Surveying 100,000 workers from 11 exposed occupations, we document ChatGPT is pervasive: half of workers have used it, with younger, less experienced, higher-achieving, and especially male workers leading the curve. Why have some workers adopted ChatGPT, and others not? Workers see a substantial productivity potential in ChatGPT but are often hindered by employer restrictions and required training. Informing workers about expert assessments of ChatGPT shifts workers’ beliefs and intentions but has limited impacts on actual adoption.
Generative AI, News
Defeated by A.I., a Legend in the Board Game Go Warns: Get Ready for What’s Next. Lee Saedol was one of the world’s top Go players, and his shocking loss to an A.I. opponent was a harbinger of a new, unsettling era. “It may not be a happy ending,” he says.
“People used to be in awe of creativity, originality and innovation, but since A.I. came, a lot of that has disappeared.” Lee Saedol
From Hype to Reality: Artificial Intelligence in the Study of Art and Culture. Edited by Eva Cetinić & Darío Negueruela del Castillo
God-like: a 500 Year History of Artificial Intelligence in Myths, Machines, Monsters by Kester Brewin
Meta releases the biggest and best open-source AI model yet / Llama 3.1 outperforms OpenAI and other rivals on certain benchmarks. Now, Mark Zuckerberg expects Meta’s AI assistant to surpass ChatGPT’s usage in the coming months.
Meta releases open-source AI model it says rivals OpenAI, Google tech. CEO Mark Zuckerberg says its Llama AI models, which are available to anyone, will surpass competitors next year. But the open approach has its critics too.
Mark Zuckerberg's "Thoughts on Open Source AI". A page out of Steve Jobs' playbook to go after... Apple (and everyone else)
OpenAI is testing web search features for ChatGPT, challenging Google. Tech pundits have predicted search could be upended by AI, but Google’s dominance remains largely untouched.
OpenAI announces SearchGPT, its AI-powered search engine / The Google and Perplexity rival will be available as a prototype in limited release, with plans to eventually build it into ChatGPT.
Big Tech says AI is booming. Wall Street is starting to see a bubble. The industry has rushed head-long into AI, and stock market investors are following them. But a growing number of analysts are skeptical.
Who will control the future of AI? A democratic vision for artificial intelligence must prevail over an authoritarian one.
The Automation Paradox, is that the better our machines get, the more we struggle when they fail.
Concepts
The Best Available Human Standard. What are the imperatives of the upside?
A revealing look at the dot-com bubble of 2000 — and how it shapes our lives today
How the Internet Happened | Brian McCullough | Talks at Google
Spotify is no longer just a streaming app, it’s a social network
“… We are not any different than anyone else in that we’re trying to learn from the marketplace,” Ek said, hinting at the app’s TikTok inspiration. “We learn what consumers like. We try to improve upon it and make the best possible user experience.”
What is a content creator and how to become one. Learn the ins and outs of being a digital content creator and how to get started yourself.
How to create a month’s worth of content in one day. Digital marketing expert Lucas O’Keefe shares his top tips for efficient content creation.
How to Speed Up Your Content Creation Without Losing Quality. High-quality content creation that is faster than ever.
How to build a successful content strategy. Use our free template to build a successful content marketing strategy.
Real men test in production … The truth about the CrowdStrike disaster