#AI and Brain Data

[familythings]

What Are ‘Neural Data’? Our Thoughts Can Be Recorded—Here’s What You Need to Know

Have you ever wondered if your thoughts could be tracked, recorded, or even sold? Sounds like science fiction, right? Well, it’s actually happening, and the rise of neurotechnology means that our brains are becoming a data goldmine. Some experts urge stronger protection. They refer to this as “neural data”—information collected from our brains through tech devices. So, What Exactly Are Neural…

[bixels]

As cameras becomes more normalized (Sarah Bernhardt encouraging it, grifters on the rise, young artists using it), I wanna express how I will never turn to it because it fundamentally bores me to my core. There is no reason for me to want to use cameras because I will never want to give up my autonomy in creating art. I never want to become reliant on an inhuman object for expression, least of all if that object is created and controlled by manufacturing companies. I paint not because I want a painting but because I love the process of painting. So even in a future where everyone’s accepted it, I’m never gonna sway on this.

if i have to explain to you that using a camera to take a picture is not the same as using generative ai to generate an image then you are a fucking moron.

[peachviz]

no anson mount pls not the AI Art pls god no anson mount please

[nostalgicsneeze]

this is the only website i post art nowadays and i’ll keep doin it but DAMN…

[billiuspendragon]

omg, I somehow got recommended a video about that character ai thing and the comments were all like "ugh it's so annoying that the bots aren't creative and you have to be the one to move the role-play forward :( :( :( they should really fix that"

Like. I hate to break it to you but that is not a real person. It is a computer. You are literally role-playing by yourself with a machine.

If you want a role-play with creativity where you don't have to do all the input, then I have a fantastic suggestion for you!

Role-play with a real person!

[jcmarchi]

Non-fiction books that explore AI's impact on society  - AI News

New Post has been published on https://thedigitalinsider.com/non-fiction-books-that-explore-ais-impact-on-society-ai-news/

Non-fiction books that explore AI's impact on society  - AI News

.pp-multiple-authors-boxes-wrapper display:none; img width:100%;

Artificial Intelligence (AI) is code or technologies that perform complex calculations, an area that encompasses simulations, data processing and analytics.

AI has increasingly grown in importance, becoming a game changer in many industries, including healthcare, education and finance. The use of AI has been proven to double levels of effectiveness, efficiency and accuracy in many processes, and reduced cost in different market sectors. 

AI’s impact is being felt across the globe, so, it is important we understand the effects of AI on society and our daily lives. 

Better understanding of AI and all that it does and can mean can be gained from well-researched AI books.

Books on AI provide insights into the use and applications of AI. They describe the advancement of AI since its inception and how it has shaped society so far. In this article, we will be examining recommended best books on AI that focus on the societal implications.

For those who don’t have time to read entire books, book summary apps like Headway will be of help.

Book 1: “Superintelligence: Paths, Dangers, Strategies” by Nick Bostrom

Nick Bostrom is a Swedish philosopher with a background in computational neuroscience, logic and AI safety. 

In his book, Superintelligence, he talks about how AI  can surpass our current definitions of intelligence and the possibilities that might ensue.

Bostrom also talks about the possible risks to humanity if superintelligence is not managed properly, stating AI can easily become a threat to the entire human race if we exercise no control over the technology. 

Bostrom offers strategies that might curb existential risks, talks about how Al can be aligned with human values to reduce those risks and suggests teaching AI human values.

Superintelligence is recommended for anyone who is interested in knowing and understanding the implications of AI on humanity’s future.

Book 2: “AI Superpowers: China, Silicon Valley, and the New World Order” by Kai-Fu Lee

AI expert Kai-Fu Lee’s book, AI Superpowers: China, Silicon Valley, and the New World Order, examines the AI revolution and its impact so far, focusing on China and the USA. 

He concentrates on the competition between these two countries in AI and the various contributions to the advancement of the technology made by each. He highlights China’s advantage, thanks in part to its larger population. 

China’s significant investment so far in AI is discussed, and its chances of becoming a global leader in AI. Lee believes that cooperation between the countries will help shape the future of global power dynamics and therefore the economic development of the world.

In thes book, Lee states AI has the ability to transform economies by creating new job opportunities with massive impact on all sectors. 

If you are interested in knowing the geo-political and economic impacts of AI, this is one of the best books out there. 

Book 3: “Life 3.0: Being Human in the Age of Artificial Intelligence” by Max Tegmark

Max Tegmark’s Life 3.0 explores the concept of humans living in a world that is heavily influenced by AI. In the book, he talks about the concept of Life 3.0, a future where human existence and society will be shaped by AI. It focuses on many aspects of humanity including identity and creativity. 

Tegmark envisions a time where AI has the ability to reshape human existence. He also emphasises the need to follow ethical principles to ensure the safety and preservation of human life. 

Life 3.0 is a thought-provoking book that challenges readers to think deeply about the choices humanity may face as we progress into the AI era. 

It’s one of the best books to read if you are interested in the ethical and philosophical discussions surrounding AI.

Book 4: “The Fourth Industrial Revolution” by Klaus Schwab

Klaus Martin Schwab is a German economist, mechanical engineer and founder of the World Economic Forum (WEF). He argues that machines are becoming smarter with every advance in technology and supports his arguments with evidence from previous revolutions in thinking and industry.

He explains that the current age – the fourth industrial revolution – is building on the third: with far-reaching consequences.

He states use of AI in technological advancement is crucial and that cybernetics can be used by AIs to change and shape the technological advances coming down the line towards us all.

This book is perfect if you are interested in AI-driven advancements in the fields of digital and technological growth. With this book, the role AI will play in the next phases of technological advancement will be better understood.

Book 5: “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy” by Cathy O’Neil

Cathy O’Neil’s book emphasises the harm that defective mathematical algorithms cause in judging human behaviour and character. The continual use of maths algorithms promotes harmful results and creates inequality.

An example given in  the book is of research that proved bias in voting choices caused by results from different search engines.

Similar examination is given to research that focused Facebook, where, by making newsfeeds appear on users’ timelines, political preferences could be affected.

This book is best suited for readers who want to adventure in the darker sides of AI that wouldn’t regularly be seen in mainstream news outlets.

Book 6: “The Age of Em: Work, Love, and Life when Robots Rule the Earth” by Robin Hanson

An associate professor of economics at George Mason University and a former researcher at the Future of Humanity Institute of Oxford University, Robin Hanson paints an imaginative picture of emulated human brains designed for robots. What if humans copied or “emulated” their brains and emotions and gave them to robots?

He argues that humans who become “Ems” (emulations) will become more dominant in the future workplace because of their higher productivity.

An intriguing book for fans of technology and those who love intelligent predictions of possible futures.

Book 7: “Architects of Intelligence: The truth about AI from the people building it” by Martin Ford

This book was drawn from interviews with AI experts and examines the struggles and possibilities of AI-driven industry.

If you want insights from people actively shaping the world, this book is right for you!

CONCLUSION

These books all have their unique perspectives but all point to one thing – the advantages of AI of today will have significant societal and technological impact. These books will give the reader glimpses into possible futures, with the effects of AI becoming more apparent over time.

For better insight into all aspects of AI, these books are the boosts you need to expand your knowledge. AI is advancing quickly, and these authors are some of the most respected in the field. Learn from the best with these choice reads.

[hardcorehashbrown]

it’s cool being a published researcher and all but answering reviewer comments is gonna be the death of me

like ik i’m stupid but getting comments from other stupid scientists who couldn’t even be bothered to properly read the manuscript makes me want to hack into the editors email and track down the reviewers so i can yell at them in person

[whatever-you-can-give-me]

see the thing about ai is. we already taught computers to do the most interesting thing we could possibly teach them (how to play games with us at varying levels of skill) YEARS ago so everything that’s followed just feels like it’s trying to beat the hype of deep blue the robot chessmaster. nothing will be a better use of ai than that. we peaked with ai card games, just give up.

[dokkywokky]

adding to this: *this is a problem that will fucking haunt EEEEVERYTHING.* not just higher ed. it sucks. and it’s awful. but until the investment bubble commits sudoku and sam altman is (finally) drawn and quartered with silly string by Boston Spot robots as Goddess intended then you need to 👏 ask 👏 questions about things which Don’t Look Right and 👏 talk 👏 to 👏 your 👏 coworkers (or your GP! or your design lead! or your copy editor! or).

use nightshade, block “AI” freaks, and be. aware. it is a greasy little poison that will seep into everything around you and you must not let it breach your defenses. there will be some glassy-eyed soulless bean counting freak who shows up to your place of comfort or work with a mediocrity machine in a box and the world’s grimiest sales pitch and you will need to fight tooth and fucking nail to boot them out and never, ever let them back in until they have dropped the box and lit it on fire.

all LLMs are unethical. CharacterAI was built on unfathomable amounts of theft. Image recognition rests on the back of billions of unpaid man hours of gig work by people in countries where they can’t do anything else to put food on their table. Stable Diffusion is the world’s nastiest plagarist. all of it was made using inconceivable quantities of modern day slavery.

Do. Not. Let. It. In.

ur future nurse is using chapgpt to glide thru school u better take care of urself

[wyrmfedgrave]

Northeastern Governors and Canadian Premiers Unite Against Trump - The American Prospect

"Northeastern Governors and Canadian Premiers Unite Against Trump - The American Prospect" https://prospect.org/world/2025-06-19-northeastern-governors-canadian-premiers-unite-against-trump/

So, Rump spent most of his time at the G7 meeting going on tirades about Justin Trudeau, Blue cities, immigrants, JB Pritzker & lobbying for Putin...

Luckily, the Rapist Con Man went home to mess with the Iran-Israel War instead.

This left Northeastern US Governors & Canadian Premiers to deal with the repercussions of the 2024 election...

They all doubled down on their diplomatic, cultural & economic ties together.

And, they agree on the relevant problems:

1. Rump's tariffs are an extra tax on Americans.

2. But, it's led to disrupted supply chains.

3. This led to Canada reshoring its metal cans.

4. Which means thousands of US jobs are now lost.

5. Canada is also welcoming medics, researchers & promising students leading to a US Brain Drain.

6. The Northeast depends on Canadian power, so interruptions there poses problems for data hubs & AI development.

7. When China stopped selling the US its rare earth minerals, Ontario became our next supplier - its Rump's true reason for wanting a Canadian 51st state...

8. US travel & tourism is seeing large downturns. Vermont & NYC both saw a 45% drop in hotel bookings.

9. Because Canada is now promoting visits to Ontario & Nova Scotia instead.

There's a real sense of betrayal in Canada right now - one that might take decades to heal.

It's a daily challenge to deal with Republikkkan hatred, their ingrained stupidity & the damaging policies these Nazis like most...

Politics is now an unstable & dangerous affair.

And, sadly, most Americans don't seem to under- stand - or even care - about the rift now growing between the two nations...

End?

[impulsivelycontentious]

The bad people are fighting and somehow this is bad. Eugh.

[jcmarchi]

Sam Altman, OpenAI: The superintelligence era has begun

New Post has been published on https://thedigitalinsider.com/sam-altman-openai-the-superintelligence-era-has-begun/

Sam Altman, OpenAI: The superintelligence era has begun

OpenAI chief Sam Altman has declared that humanity has crossed into the era of artificial superintelligence—and there’s no turning back.

“We are past the event horizon; the takeoff has started,” Altman states. “Humanity is close to building digital superintelligence, and at least so far it’s much less weird than it seems like it should be.”

The lack of visible signs – robots aren’t yet wandering our high streets, disease remains unconquered – masks what Altman characterises as a profound transformation already underway. Behind closed doors at tech firms like his own, systems are emerging that can outmatch general human intellect.

“In some big sense, ChatGPT is already more powerful than any human who has ever lived,” Altman claims, noting that “hundreds of millions of people rely on it every day and for increasingly important tasks.”

This casual observation hints at a troubling reality: such systems already wield enormous influence, with even minor flaws potentially causing widespread harm when multiplied across their vast user base.

The road to superintelligence

Altman outlines a timeline towards superintelligence that might leave many readers checking their calendars.

By next year, he expects “the arrival of agents that can do real cognitive work,” fundamentally transforming software development. The following year could bring “systems that can figure out novel insights”—meaning AI that generates original discoveries rather than merely processing existing knowledge. By 2027, we might see “robots that can do tasks in the real world.”

Each prediction seems to leap beyond the previous one in capability, drawing a line that points unmistakably toward superintelligence—systems whose intellectual capacity vastly outstrips human potential across most domains.

“We do not know how far beyond human-level intelligence we can go, but we are about to find out,” Altman states.

This progression has sparked fierce debate among experts, with some arguing these capabilities remain decades away. Yet Altman’s timeline suggests OpenAI has internal evidence for this accelerated path that isn’t yet public knowledge.

A feedback loop that changes everything

What makes current AI development uniquely concerning is what Altman calls a “larval version of recursive self-improvement”—the ability of today’s AI to help researchers build tomorrow’s more capable systems.

“Advanced AI is interesting for many reasons, but perhaps nothing is quite as significant as the fact that we can use it to do faster AI research,” he explains. “If we can do a decade’s worth of research in a year, or a month, then the rate of progress will obviously be quite different.”

This acceleration compounds as multiple feedback loops intersect. Economic value drives infrastructure development, which enables more powerful systems, which generate more economic value. Meanwhile, the creation of physical robots capable of manufacturing more robots could create another explosive cycle of growth.

“The rate of new wonders being achieved will be immense,” Altman predicts. “It’s hard to even imagine today what we will have discovered by 2035; maybe we will go from solving high-energy physics one year to beginning space colonisation the next year.”

Such statements would sound like hyperbole from almost anyone else. Coming from the man overseeing some of the most advanced AI systems on the planet, they demand at least some consideration.

Living alongside superintelligence

Despite the potential impact, Altman believes many aspects of human life will retain their familiar contours. People will still form meaningful relationships, create art, and enjoy simple pleasures.

But beneath these constants, society faces profound disruption. “Whole classes of jobs” will disappear—potentially at a pace that outstrips our ability to create new roles or retrain workers. The silver lining, according to Altman, is that “the world will be getting so much richer so quickly that we’ll be able to seriously entertain new policy ideas we never could before.”

For those struggling to imagine this future, Altman offers a thought experiment: “A subsistence farmer from a thousand years ago would look at what many of us do and say we have fake jobs, and think that we are just playing games to entertain ourselves since we have plenty of food and unimaginable luxuries.”

Our descendants may view our most prestigious professions with similar bemusement.

The alignment problem

Amid these predictions, Altman identifies a challenge that keeps AI safety researchers awake at night: ensuring superintelligent systems remain aligned with human values and intentions.

Altman states the need to solve “the alignment problem, meaning that we can robustly guarantee that we get AI systems to learn and act towards what we collectively really want over the long-term”. He contrasts this with social media algorithms that maximise engagement by exploiting psychological vulnerabilities.

This isn’t merely a technical issue but an existential one. If superintelligence emerges without robust alignment, the consequences could be devastating. Yet defining “what we collectively really want” will be almost impossible in a diverse global society with competing values and interests.

“The sooner the world can start a conversation about what these broad bounds are and how we define collective alignment, the better,” Altman urges.

OpenAI is building a global brain

Altman has repeatedly characterised what OpenAI is building as “a brain for the world.”

This isn’t meant metaphorically. OpenAI and its competitors are creating cognitive systems intended to integrate into every aspect of human civilisation—systems that, by Altman’s own admission, will exceed human capabilities across domains.

“Intelligence too cheap to meter is well within grasp,” Altman states, suggesting that superintelligent capabilities will eventually become as ubiquitous and affordable as electricity.

For those dismissing such claims as science fiction, Altman offers a reminder that merely a few years ago, today’s AI capabilities seemed equally implausible: “If we told you back in 2020 we were going to be where we are today, it probably sounded more crazy than our current predictions about 2030.”

As the AI industry continues its march toward superintelligence, Altman’s closing wish – “May we scale smoothly, exponentially, and uneventfully through superintelligence” – sounds less like a prediction and more like a prayer.

While timelines may (and will) be disputed, the OpenAI chief makes clear the race toward superintelligence isn’t coming—it’s already here. Humanity must grapple with what that means.

See also: Magistral: Mistral AI challenges big tech with reasoning model

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[macgenceblog]

Brain Activity Data for AI Training is essential for advancing neuroscience, healthcare, and brain-computer interfaces. By collecting and annotating EEG, fMRI, and other neurophysiological signals, AI models can better interpret cognitive states, emotions, and neurological disorders. High-quality annotated datasets help train AI for applications like mind-controlled prosthetics, mental health diagnostics, and cognitive enhancement. Precise data labeling ensures accuracy, enabling AI to recognize patterns in brain activity effectively. At Macgence, we specialize in curating and annotating Brain Activity Data for AI Training, accelerating AI-driven innovations in neurotechnology. Partner with us to build smarter AI solutions powered by real-world neural data.

[youthchronical]

Scientists from India, UK join hands to research healthy brain aging

The Centre for Brain Research (CBR) at the Indian Institute of Science (IISc) and the UK Dementia Research Institute (UK DRI) on Friday launched an international partnership that will create an interconnected research ecosystem to accelerate scientific understanding and innovation in brain health. According to CBR, by integrating expertise and cutting-edge technologies including blood-based…

[plumedesnuages]

I've been very vocal about how much I despise IA... So he very discreetly installed Gemini :)

That's so cool :)

[snowtamale]

what is the polite way to tell someone i would never use generative AI because i use my brain to do thinking for me???

(not to mention the ecological/infrastructure cost of every AI query)