Authors – Capture the Flag https://capturetheflag.onair.cc Learn. Discuss. Engage. Fri, 14 Nov 2025 14:52:09 +0000 en-US hourly 1 Brian Krebs https://capturetheflag.onair.cc/brian-krebs/ https://capturetheflag.onair.cc/brian-krebs/#respond Fri, 14 Nov 2025 14:52:09 +0000 http://cyber.onair.cc/?p=4268

Brian Krebs worked as a reporter for The Washington Post from 1995 to 2009, authoring more than 1,300 blog posts for the Security Fix blog, as well as hundreds of stories for washingtonpost.com and The Washington Post newspaper, including eight front-page stories in the dead-tree edition and a Post Magazine cover piece on botnet operators.

In 2014, he was profiled in The New York Times, Business Week, NPR’s Terry Gross, and by Poynter.org. More recently, he was invited to an “Ask Me Anything” discussion on Reddit about investigative reporting.

Source: Website

OnAir Post: Brian Krebs

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Brian Krebs worked as a reporter for The Washington Post from 1995 to 2009, authoring more than 1,300 blog posts for the Security Fix blog, as well as hundreds of stories for washingtonpost.com and The Washington Post newspaper, including eight front-page stories in the dead-tree edition and a Post Magazine cover piece on botnet operators.

In 2014, he was profiled in The New York Times, Business Week, NPR’s Terry Gross, and by Poynter.org. More recently, he was invited to an “Ask Me Anything” discussion on Reddit about investigative reporting.

Source: Website

OnAir Post: Brian Krebs

]]> https://capturetheflag.onair.cc/brian-krebs/feed/ 0 Top Authors https://capturetheflag.onair.cc/top-authors/ https://capturetheflag.onair.cc/top-authors/#respond Sun, 09 Nov 2025 13:19:20 +0000 http://cyber.onair.cc/?p=3695

Some top cybersecurity authors include investigative journalist Brian Krebs, security technologist Bruce Schneier, and security expert Troy Hunt. Other highly regarded figures are Mikko Hyppönen, Katie Moussouris, and Kevin Mitnick, known for their work in malware research, vulnerability disclosure, and ethical hacking, respectively.

These authors range from technical practitioners to journalists and national security experts, covering diverse areas within the field of cybersecurity.

OnAir Post: Top Authors

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Some top cybersecurity authors include investigative journalist Brian Krebs, security technologist Bruce Schneier, and security expert Troy Hunt. Other highly regarded figures are Mikko Hyppönen, Katie Moussouris, and Kevin Mitnick, known for their work in malware research, vulnerability disclosure, and ethical hacking, respectively.

These authors range from technical practitioners to journalists and national security experts, covering diverse areas within the field of cybersecurity.

OnAir Post: Top Authors

]]> https://capturetheflag.onair.cc/top-authors/feed/ 0 Gary Marcus https://capturetheflag.onair.cc/gary-marcus/ https://capturetheflag.onair.cc/gary-marcus/#respond Sat, 30 Mar 2024 21:37:58 +0000 http://cyber.onair.cc/?p=2762

Gary Marcus is a leading voice in artificial intelligence. He is a scientist, best-selling author, and serial entrepreneur (Founder of Robust.AI and Geometric.AI, acquired by Uber). He is well-known for his challenges to contemporary AI, anticipating many of the current limitations decades in advance, and for his research in human language development and cognitive neuroscience.

An Emeritus Professor of Psychology and Neural Science at NYU, he is the author of five books, including, The Algebraic Mind, Kluge, The Birth of the Mind, and the New York Times Bestseller Guitar Zero. He has often contributed to The New Yorker, Wired, and The New York Times. His most recent book, Rebooting AI, with Ernest Davis, is one of Forbes’s 7 Must Read Books in AI.

Source: Website

OnAir Post: Gary Marcus

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Gary Marcus is a leading voice in artificial intelligence. He is a scientist, best-selling author, and serial entrepreneur (Founder of Robust.AI and Geometric.AI, acquired by Uber). He is well-known for his challenges to contemporary AI, anticipating many of the current limitations decades in advance, and for his research in human language development and cognitive neuroscience.

An Emeritus Professor of Psychology and Neural Science at NYU, he is the author of five books, including, The Algebraic Mind, Kluge, The Birth of the Mind, and the New York Times Bestseller Guitar Zero. He has often contributed to The New Yorker, Wired, and The New York Times. His most recent book, Rebooting AI, with Ernest Davis, is one of Forbes’s 7 Must Read Books in AI.

Source: Website

OnAir Post: Gary Marcus

News

Six (or seven) predictions for AI 2026 from a Generative AI realist
Marcus on AI, Gary Marcus – December 20, 2025

2025 turned out pretty much as I anticipated. What comes next?

AGI didn’t materialize (contra predictions from Elon Musk and others); GPT-5 was underwhelming, and didn’t solve hallucinations. LLMs still aren’t reliable; the economics look dubious. Few AI companies aside from Nvidia are making a profit, and nobody has much of a technical moat. OpenAI has lost a lot of its lead. Many would agree we have reached a point of diminishing returns for scaling; faith in scaling as a route to AGI has dissipated. Neurosymbolic AI (a hybrid of neural networks and classical approaches) is starting to rise. No system solved more than 4 (or maybe any) of the Marcus-Brundage tasks. Despite all the hype, agents didn’t turn out to be reliable. Overall, by my count, sixteen of my seventeen “high confidence” predictions about 2025 proved to be correct.

Here are six or seven predictions for 2026; the first is a holdover from last year that no longer will surprise many people.

  1. We won’t get to AGI in 2026 (or 7). At this point I doubt many people would publicly disagree, but just a few months ago the world was rather different. Astonishing how much the vibe has shifted in just a few months, especially with people like Sutskever and Sutton coming out with their own concerns.
  2. Human domestic robots like Optimus and Figure will be all demo and very little product. Reviews by Joanna Stern and Marques Brownle of one early prototype were damning; there will be tons of lab demos but getting these robots to work in people’s homes will be very very hard, as Rodney Brooks has said many times.
  3. No country will take a decisive lead in the GenAI “race”.
  4. Work on new approaches such as world models and neurosymbolic will escalate.
  5. 2025 will be known as the year of the peak bubble, and also the moment at which Wall Street began to lose confidence in generative AI. Valuations may go up before they fall, but the Oracle craze early in September and what has happened since will in hindsight be seen as the beginning of the end.
  6. Backlash to Generative AI and radical deregulation will escalate. In the midterms, AI will be an election issue for first time. Trump may eventually distance himself from AI because of this backlash.

And lastly, the seventh: a metaprediction, which is a prediction about predictions. I don’t expect my predictions to be as on target this year as last, for a happy reason: across the field, the intellectual situation has gone from one that was stagnant (all LLMs all the time) and unrealistic (“AGI is nigh”) to one that is more fluid, more realistic, and more open-minded. If anything would lead to genuine progress, it would be that.

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OpenAI’s o3 and Tyler Cowen’s Misguided AGI Fantasy
Marcus on AI, Gary Marcus – April 17, 2025

Tyler Cowen has become the ultimate “AI Influencer”, and I don’t mean that as a compliment. “AI Influencers” are, truth be told, people who pump up AI in order to gain influence, writing wild over-the-top praise of AI without engaging in the drawbacks and limitations. The most egregious of that species also demonize (not just critique) anyone who does point to limitations. Often they come across as quasi-religious. A new essay in the FT yesterday by Siddharth Venkataramakrishnan calls this kind of dreck “slopganda”: produced and distributed by “a circle of Al firms, VCs backing those firms, talking shops made up of employees of those firms, and the long tail is the hangers-on, content creators, newsletter writers and marketing experts.”

Sadly, Cowen, noted economist and podcast regular who has received more than his share of applause lately at The Economist and The Free Press, has joined their ranks, and—not to be outdone—become the most extreme of the lot, leaving even Kevin (AGI will be here in three years) Roose and Casey (AI critics are evil) Newton in the dust, making them look balanced and tempered by comparison.

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GenAI’s day of reckoning may have come: It’s not just the stock price
Marcus on AI, Gary Marcus – March 27, 2025

GenAI is never going to disappear. The tools have their uses. But the economics do not and have not ever made sense, relative to the realities of the techonology. I have been writing about the dubious economics for a long time, since my August 2023 piece here on whether Generative AI would prove to be a dud. (My warnings about the technical limits, such as hallucinations and reasoning errors, go back to my 2001 book, The Algebraic Mind, and 1998 article in Cognitive Psychology).

The Future of AI is not GenAI
Importantly, though, GenAI is just one form of AI among the many that might be imagined. GenAI is an approach that is enormously popular, but one that is neither reliable nor particularly well-grounded in truth.

Different, yet-to-be-developed approaches, with a firmer connection to the world of symbolic AI (perhaps hybrid neurosymbolic models) might well prove to be vastly more valuable. I genuinely believe arguments from Stuart Russell and others that AI could someday be a trillion dollar annual market.

But unlocking that market will require something new: a different kind of AI that is reliable and trustworthy.

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About

Wiki biography

Gary Fred Marcus (born 1970) is an American psychologist, cognitive scientist, and author, known for his research on the intersection of cognitive psychology, neuroscience, and artificial intelligence (AI).

Marcus is professor emeritus of psychology and neural science at New York University. In 2014 he founded Geometric Intelligence, a machine learning company later acquired by Uber.

His books include The Algebraic Mind, Kluge, The Birth of the Mind, and the New York Times Bestseller Guitar Zero.

Early life

Marcus was born into a Jewish family in Baltimore, Maryland. He developed an early fascination with artificial intelligence and began coding at a young age.

Marcus majored in cognitive science at Hampshire College. He continued on to graduate school at the Massachusetts Institute of Technology (MIT), where he conducted research on negative evidence in language acquisition and regularization (and over-regularization) in children’s acquisition of grammatical morphology.

During his PhD studies at MIT, he was mentored by Steven Pinker.

Career

In 2015 Marcus co-founded a machine-learning startup, Geometric Intelligence. When Geometric Intelligence was acquired by Uber in December 2016, he became the director of Uber’s AI efforts, but left the company in March 2017.

In 2019 Marcus launched the startup, Robust.AI, with Rodney Brooks, iRobot co-founder and co-inventor of the Roomba. Robust.AI aims to build an “off-the-shelf” machine-learning platform for adoption in autonomous robots, similar to the way video-game engines can be adopted by third-party game developers.

Source: Wikipedia

Web Links

Books

Taming Silicon Valley: How We Can Ensure That AI Works for Us

Source: Amazon

How Big Tech is taking advantage of us, how AI is making it worse, and how we can create a thriving, AI-positive world.

On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future.

Rebooting AI: Building Artificial Intelligence We Can Trust

Source: Amazon

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a robust artificial intelligence that can make our lives better.

“Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough.” —Garry Kasparov, former world chess champion and author of Deep Thinking

Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence.

Kluge: The Haphazard Construction of the Human Mind

Source: Amazon

Psychology professor Gary Marcus explores how evolution has affected—and altered—the functioning of the human brain in Kluge.

A New York Times Book Review Editors’ Choice

How is it that we can recognize photos from our high school yearbook decades later, but cannot remember what we ate for breakfast yesterday? And why are we inclined to buy more cans of soup if the sign says Limit 12 Per Customer rather than Limit 4 Per Customer?

In Kluge, psychology professor Gary Marcus argues convincingly that our minds are not as elegantly designed as we may believe. The imperfections result from a haphazard evolutionary process that often proceeds by piling new systems on top of old ones—and those systems don’t always work well together. The end product is a “kluge,” a clumsy, cobbled-together contraption.

More Information

Wikipedia

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]]> https://capturetheflag.onair.cc/gary-marcus/feed/ 0 Michael Spencer https://capturetheflag.onair.cc/michael-spencer/ https://capturetheflag.onair.cc/michael-spencer/#respond Thu, 28 Mar 2024 21:43:57 +0000 http://cyber.onair.cc/?p=2764

Michael Spencer is an emerging tech analyst that covers industries like AI, the semiconductor AI chip industry, robotics, quantum computing and others areas of exponential tech in Newsletter articles and in news curation as a service.

His substack, AI Supremacy,  is rated #1 in Machine learning and is the fastest growing A.I. Newsletter on Substack, as of early 2022.

OnAir Post: Michael Spencer

]]> Summary

Michael Spencer is an emerging tech analyst that covers industries like AI, the semiconductor AI chip industry, robotics, quantum computing and others areas of exponential tech in Newsletter articles and in news curation as a service.

His substack, AI Supremacy,  is rated #1 in Machine learning and is the fastest growing A.I. Newsletter on Substack, as of early 2022.

OnAir Post: Michael Spencer

News

TSMC’s role in the global AI and geopolitical order – a Full Report
AI Supremacy, Michael Spencer – April 22, 2025

Why I’m calling TSMC the most important tech company in the world for the future of AI. Severe trade tariffs but TSMC’s role in the future of AI in the spotlight.

As the U.S. vs. China trade war escalates the true “picks and shovels” company for AI Supremacy isn’t Nvidia, it’s TSMC. Taiwan Semiconductor Manufacturing Company (TSMC) has committed a total investment of approximately $165 billion in the United States complicating the geopolitical future in the era of reciprocal trade tariff uncertainty.

TSMC is the most important tech company in the world in 2025.

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4 Startup Funding Models in the Age of AI
AI Supremacy, Michael Spencer and Henry Shi – April 10, 2025

The Future of Venture Capital is about to change due to AI and the flood of capital going to AI startups. MCP and A2A will enable Seed Strapping to have a bright reincarnation for startup futures.

With uncertain macro conditions, AI startups and startups in general are shifting their strategies and building companies completely differently. But how? While I don’t write on Venture capital at the intersection of AI and startups often, it’s one of my favorite things to track as an emerging tech analyst.

The idea of seed-strapping and the dream of solopreneurs being able to scale startups in a more lean and agile manner with less employees with AI is fairly fascinating. New cases studies are emerging to inform the founders of today and the future.

In the era of Generative AI, the way founders and solopreneurs are bootstrapping is very different where there are many examples of AI founders who are able to scale revenue faster, be more agile and rely less on traditional equity dilution to grow fast in a more sustainable and in a less high-risk manner. Is this the beginning of a fundamentally different future of entrepreneurship with AI?

 

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Agents are here, but a world with AGI is still hard to imagine
AI Supremacy, Michael Spencer and Harry Law – March 27, 2025

We start off with a simple question, will agents lead us to AGI? OpenAI conceptualized agents as stage 3 of 5. You can ascertain that agents in 2025 are barely functional.

Since ChatGPT was launched nearly 2.5 years ago, outside of DeepSeek, we haven’t really seen a killer-app emerge. It’s hard to know what to make of Manus AI? Part Claude wrapper, but also an incredible UX with Qwen reasoning integration. Manus AI, which has offices in Beijing and Wuhan and is part of Beijing Butterfly Effect Technology. The startup is Tencent backed, and with deep Qwen integration you have to imagine Alibaba might end up acquiring it.

Today technology and AI historian, Harry Law of  Learning From Examples , explores this awkward stage we are at halfway between reasoning models and agents. This idea that agents will lead to AGI is also quite baffling. You might also want to read some articles of the community on Manus AI: but will “unfathomable geniuses” really escape today’s frontier models, suddenly appearing like sentiment boogeymen saluting us in their made-up languages?

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About

Quotes

I’m fascinated by all things artificial intelligence, innovation, business, content, automation and futurism.

Named a LinkedIn Top Voice in 2016 | & 2017 Ranked #2 in Marketing and social, I’m an amateur futurist and indie influencer.

I have an expressed interest in futurism, A.I., quantum computing and other related topics. I think about Chinese Tech a lot as well. You can contact me at michaelkspencer 2025 at gmail dot com.

Source: LinkedIn

Web Links

AGI Miniseries

Agents are here, but a world with AGI is still hard to imagine

Source: Substack

Michael Spencer and Harry Law

We start off with a simple question, will agents lead us to AGI? OpenAI conceptualized agents as stage 3 of 5. You can ascertain that agents in 2025 are barely functional.

Since ChatGPT was launched nearly 2.5 years ago, outside of DeepSeek, we haven’t really seen a killer-app emerge. It’s hard to know what to make of Manus AI? Part Claude wrapper, but also an incredible UX with Qwen reasoning integration. Manus AI, which has offices in Beijing and Wuhan and is part of Beijing Butterfly Effect Technology. The startup is Tencent backed, and with deep Qwen integration you have to imagine Alibaba might end up acquiring it.

Today technology and AI historian, Harry Law of  Learning From Examples , explores this awkward stage we are at halfway between reasoning models and agents. This idea that agents will lead to AGI is also quite baffling. You might also want to read some articles of the community on Manus AI: but will “unfathomable geniuses” really escape today’s frontier models, suddenly appearing like sentiment boogeymen saluting us in their made-up languages?

Is AGI a hoax of Silicon Valley?: Introducing: The New Generation of “AGI Startups”

Source: Substack

Everyone from OpenAI to DeepSeek claims they are an AGI startup, but the way these AI startups are proliferating is starting to get out of control in 2025. I asked Futuristic Lawyer

Tobias Mark Jensen

, to look into this trend.

On 14 April 2023, High-Flyer announced the start of an artificial general intelligence lab dedicated to research developing AI tools separate from High-Flyer’s financial business. Incorporated on 17 July 2023, with High-Flyer as the investor and backer, the lab became its own company, DeepSeek.

But while saying you are an AGI research lab has come into popular fashion in marketing terms in recent years, does anyone even believe AGI is a real thing or that today’s architecture even has the capability of attaining it?

The definition of and the date when it is achieved are both hotly debated. However it seems actual machine learning engineers and researchers don’t actually think the current LLM architecture can reach this apparent goal.

OpenAI’s o3 Scores an “A” on ARC’s AGI Test o3: Models are going to get a lot more expensive, here’s why.

Source: Substack

We have an AGI update for you today. AGI is the representation of generalized human cognitive abilities in software so that, faced with an unfamiliar task, the AGI system could find a solution. We note that the commercial definition of AGI has been watered down by OpenAI, Google and many others in recent years for their systems to sound more capable. Taking this above definition however, OpenAI (employee) claims that they have AGI internally now make a bit more sense.

Apparently OpenAI’s o3 Model scores 87.5% on the ARC challenge (arcprize.org) – the key thing about this benchmark is that it is impossible to pre-learn, as every test has new conditions, models were stuck at 30-55%. Humans are particularly good at and LLMs were bad at it.

]]> https://capturetheflag.onair.cc/michael-spencer/feed/ 0 Sangeet Paul Choudary https://capturetheflag.onair.cc/sangeet-paul-choudary/ https://capturetheflag.onair.cc/sangeet-paul-choudary/#respond Thu, 28 Mar 2024 21:20:36 +0000 http://cyber.onair.cc/?p=2765

Sangeet Paul Choudary is a business executive, advisor, and best-selling author. He is best known for his work on platform economics and network effects. He is the co-author of the international best-selling book Platform Revolution: How Networked Markets Are Transforming the Economy and How to Make Them Work for You.

Choudary’s work on platform economics has been featured on four occasions among Harvard Business Review’s top 10 management ideas. It is ranked among HBR’s top 10 strategy publications, alongside the works of Michael Porter, Clayton Christensen, A.G. Lafley, and others.

For his contributions to the field of platform economics, Choudary was named a Young Global Leader by the World Economic Forum in 2017.

Source: Wikipedia

https://www.youtube.com/watch?v=lqtBlj3ZhJU
Digital Platforms - by Sangeet Paul Choudary – 09/08/2022 (07:20)

https://www.youtube.com/watch?v=Zq2Rry7r2MQ

This keynote speech lays out a roadmap for platform transformation

The Digital Platforms channel features keynotes, interviews, and insights from Sangeet Paul Choudary, best-selling author of Platform Revolution, and a global keynote speaker.

OnAir Post: Sangeet Paul Choudary

]]> Summary

Sangeet Paul Choudary is a business executive, advisor, and best-selling author. He is best known for his work on platform economics and network effects. He is the co-author of the international best-selling book Platform Revolution: How Networked Markets Are Transforming the Economy and How to Make Them Work for You.

Choudary’s work on platform economics has been featured on four occasions among Harvard Business Review’s top 10 management ideas. It is ranked among HBR’s top 10 strategy publications, alongside the works of Michael Porter, Clayton Christensen, A.G. Lafley, and others.

For his contributions to the field of platform economics, Choudary was named a Young Global Leader by the World Economic Forum in 2017.

Source: Wikipedia

https://www.youtube.com/watch?v=lqtBlj3ZhJU
Digital Platforms – by Sangeet Paul Choudary – 09/08/2022 (07:20)
https://www.youtube.com/watch?v=Zq2Rry7r2MQ

This keynote speech lays out a roadmap for platform transformation

The Digital Platforms channel features keynotes, interviews, and insights from Sangeet Paul Choudary, best-selling author of Platform Revolution, and a global keynote speaker.

OnAir Post: Sangeet Paul Choudary

News

Platforms, AI, and the Economics of BigTech: How to build competitive advantage when execution is cheap
Platforms, AI, and the Economics of BigTech, Sangeet Paul Choudary – April 20, 2025

Too much content, too little attention

We’ve seen this before. With the rise of social media, everyone became a content creator, but only a few mastered the sort of attention that compounds to long term trust.

Most creators chased volume. But with more content, attention became the limiting factor. Brands that really succeeded rose not through content, but through narrative and taste.

The same pattern had played out a century earlier. Industrialization had transformed manufacturing. What once required artisanal labor could now be replicated at scale. But this didn’t make every product valuable. It simply shifted the point of differentiation. As Henry Ford’s assembly line made cars affordable, it was companies like General Motors that figured out how to win through brand, design, and segmentation. As production scaled, value migrated from the factory floor to the design studio and marketing department.

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Reshuffle: Who wins when AI restacks the knowledge economy (book)
Platforms, AI, and the Economics of BigTech, Sangeet Paul Choudary – March 16, 2025

Beyond AI hype and fearmongering
The AI debate is polarized today. Technologists with Altman-esque delusions hype new tools and the impending arrival of AGI. Policymakers disconnected from ‘why this time is really different’ cling on to outdated frameworks to debate job losses. Businesses, caught in between, are confused as they struggle to distinguish AI snake-oil from the real deal.

Taking these opposing views makes no sense. And yet, it gets the memetic spread that any polarising debate will.

Reshuffle grounds these discussions on some core principles and cuts through the noise. It provides a framework to understand the fundamental nature of AI systems – and their impact on economic interactions.

Reshuffle grounds itself in a few core issues, including:

  • the tension that workers have always had with tools,
  • the tug-of-war that tool providers have with their customers,
  • the nature of workflows and their impact on organization design, and eventually, the division of work, value, and power across an ecosystem,
  • the importance of knowledge management in making organizations – and more importantly – ecosystems function,
  • fundamentally new ways to build companies in an economy that is revisiting basic assumptions on knowledge work.

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The AI ‘arms race’ fallacy: The future of globalization in the age of AI
Platforms, AI, and the Economics of BigTech, Sangeet Paul Choudary – February 5, 2025

Marc Andreessen calls DeepSeek AI’s Sputnik moment.

Yes, it did catch the US unprepared but that’s where the ‘space race’ analogy ends.

Today’s AI race is not merely an ‘arms race’ nor is DeepSeek easily explained away as just a Sputnik moment.

This race is playing out against the larger backdrop of more than a decade of technology infrastructure export by the largest economies around the world. – whether it is India’s export of digital public infrastructure, cloud export by the US BigTech, or China’s Digital Silk Road working alongside its Belt and Road project.

And that’s what makes this truly interesting!

This combination of tech infrastructure exports combined with leverage through complementary AI capabilities creates a new format of globalization – standards-based globalization – something that most people don’t yet fully understand.

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About

Overview

Sangeet Paul Choudary, is the founder of Platformation Labs and the best-selling author of Platform Revolution and Platform Scale. He has advised the leadership of more than 35 of the Fortune 500 firms and has been selected as a Young Global Leader by the World Economic Forum. Sangeet’s work on platforms has been featured on four occasions in the HBR Top 10 Must Reads compilations.

Sangeet is a frequent keynote speaker at leading global forums including the G20 Summit, the World50, the United Nations, and the WEF. He has spoken at global sales summits for top brands, including Microsoft, GE, and AT&T, and frequently addresses board meetings of the top banks and industrial firms around the world.

 

Source: Website

Web Links

Videos

Platform Revolution: A transformative Shift

(05:16)
By: Digital Platforms – by Sangeet Paul Choudary

https://www.youtube.com/watch?v=DnowXYA3nlw

This segment lays out shifts happening across industries that will revolutionize Platform Business Models

The Digital Platforms channel features keynotes, interviews, and insights from Sangeet Paul Choudary, best-selling author of Platform Revolution, and a global keynote speaker.

Sangeet has spoken at the G20 Summit, the World Economic Forum, the World50, the Australian Financial Review Summit, and the United Nations. He has also addressed the boards of leading firms like ING, ANZ, Microsoft, AT&T, Schneider Electric, GE, Siemens, and others. Sangeet is a C-level executive advisor to more than 40 of the Fortune 500 companies globally.

Books

Reshuffle: Who wins when AI restacks the knowledge economy

Source: Amazon

What happens when the “know-how” that once defined expertise migrates from humans to AI tools? How do organizations reorganize when machines take over not just tasks but entire workflows? And most importantly, how does this reshaping of knowledge work change the products we use and the industries that have evolved around their production?

In today’s economy, value is no longer driven by materials but by knowledge – design, R&D, and innovation power everything from mining to pharmaceuticals to consumer products. Now, with artificial intelligence, we have a range of technologies that don’t just support knowledge work – they perform it.

Platform Revolution: How Networked Markets Are Transforming the Economy – and How to Make Them Work for You

Source: Amazon

An inside look at the revolutionary business power of the platform – from the experts who helped discover how it works.

Facebook, PayPal, Alibaba, Uber – these seemingly disparate companies have upended entire industries by harnessing a single phenomenon: the platform business model. Platform Revolution delivers the first comprehensive analysis of how platforms use technology to match producers and consumers in a multisided marketplace, unlocking hidden resources and creating new forms of value. When a company like Uber connects drivers with passengers, everybody wins – except traditional cab companies, which are scrambling to survive. Assumptions about operations, finance, strategy, and innovation all change. Platform Revolution explores the what, how, and why of this revolution and provides the first “owner’s manual” for creating a platform marketplace. Revealing the strategies behind some of today’s rising platforms, the authors explain how entrepreneurs – and traditional companies – can thrive in this new world. In cases as diverse as shoes, spices, dating, energy, home appliances, and education, Platform Revolution provides the essential guide to unlocking the potential of an economic landscape transformed.

Platform Scale: How an emerging business model helps startups build large empires with minimum investment

Source: Amazon

Over the last decade or so, we’re seeing the emergence of a new form of scale. Today’s massively scaling startups – which rapidly grow to millions of users and billions in valuation – do not sell a product or service. Instead, they build a platform on which others can create and exchange value.

The many manifestations of the platform business model – social media, the peer economy, cryptocurrencies, APIs and developer ecosystems, the Internet of things, crowdsourcing models, and many others – are becoming increasingly relevant.

Yet, most new platform ideas fail because the business design and growth strategies involved in building platforms are not well understood.

Platform Scale lays out a structured approach to designing and growing a platform business model and addresses the key factors leading to the success and failure of these businesses.

Academy

The comprehensive guide to platform design and execution

Source: Website

Based on actual workshop content, delivered at 35 of the Fortune 500 firms and many other global clients.

More Information

Consulting

Source: Website

Our digital platform consulting has pioneered the research and application of platform strategies across industries worldwide.

Platform Thinking Labs has over two decades of experience in digital platform consulting and has advised more than 40 of the Fortune 500 companies worldwide. Led by globally recognized expert and renowned platform strategist Sangeet Paul Choudary, our work has pioneered the research and application of platform strategies across industries worldwide.

We specialize in advising clients on various strategic aspects of designing, implementing and growing B2B as well as B2B2C platforms. Our digital platform consulting services have equipped clients across healthcare, financial services, automotive, energy, mining, retail, heavy industry, aviation, construction, logistics, media, and more.

Through our platform consulting services, clients are equipped to make informed decisions on their business model frameworks and strategic positions within future ecosystems, allowing them to effectively navigate their platform initiatives towards long-term success.

Wikipedia

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]]> https://capturetheflag.onair.cc/sangeet-paul-choudary/feed/ 0 Nir Diamant https://capturetheflag.onair.cc/nir-diamant/ https://capturetheflag.onair.cc/nir-diamant/#respond Thu, 28 Mar 2024 20:37:57 +0000 http://cyber.onair.cc/?p=2761

Nir Diamant is an AI researcher and community builder, focusing on making cutting-edge AI accessible.

Diamant authors one of the leading AI substack newsletterson cutting-edge AI techniques called DiamantAI.
Much of its content is available for free. Paying subscribers get more content including:

  • Exclusive tutorials and code walkthroughs
  • Our extensive publication archives.
  • Updates on our open-source projects
Controlling LLM agents with Nir Diamant
Jonathan Yarkoni – 20/07/2024 (24:11)
https://www.youtube.com/watch?v=yPwFCcoc9bw&t=2s

OnAir Post: Nir Diamant

]]> Summary

Nir Diamant is an AI researcher and community builder, focusing on making cutting-edge AI accessible.

Diamant authors one of the leading AI substack newsletterson cutting-edge AI techniques called DiamantAI.
Much of its content is available for free. Paying subscribers get more content including:

  • Exclusive tutorials and code walkthroughs
  • Our extensive publication archives.
  • Updates on our open-source projects
Controlling LLM agents with Nir Diamant
Jonathan Yarkoni – 20/07/2024 (24:11)
https://www.youtube.com/watch?v=yPwFCcoc9bw&t=2s

OnAir Post: Nir Diamant

News

Google’s Agent2Agent (A2A) Explained: Enabling AI Agents to Team Up and Speak a Common Language
DiamantAI, Nir Diamant – April 18, 2025

Imagine walking into a bustling office where brilliant specialists work on complex projects. In one corner, a research analyst digs through data. Nearby, a design expert crafts visuals. At another desk, a logistics coordinator plans shipments. When these experts need to collaborate, they simply talk to each other – sharing information, asking questions, and combining their talents to solve problems no individual could tackle alone.

Now imagine if each expert was sealed in a soundproof booth, able to do their individual work brilliantly but completely unable to communicate with colleagues. The office’s collective potential would collapse.

This is precisely the challenge facing today’s AI agents. While individual AI systems grow increasingly capable at specialized tasks, they often can’t effectively collaborate with each other. Enter Agent-to-Agent (A2A) – a communication framework that allows AI systems to work together like a well-coordinated team.

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Guardrails for AI
DiamantAI – March 25, 2025

What Are Guardrails and Why Do We Need Them?
Guardrails are the safety measures we build around AI systems – the rules, filters, and guiding hands that ensure our clever text-generating models behave ethically, stay factual and respect boundaries. Just as we wouldn’t let a child wander alone on a busy street, we shouldn’t deploy powerful AI models without protective barriers.

The need for guardrails stems from several inherent challenges with large language models:

The Hallucination Problem

The Bias Echo Chamber

The Helpful Genie Problem

The Accidental Leaker

How Guardrails Work in Practice

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Building an AI Agent with Memory and Adaptability
DiamantAI, Nir Diamant – March 20, 2025

This blog post is a tutorial based on, and a simplified version of, the course “Long-Term Agentic Memory With LangGraph” by Harrison Chase and Andrew Ng on DeepLearning.AI.

Conclusion

We’ve now built an email agent that’s far more than a simple script. Like a skilled human assistant who grows more valuable over time, our agent builds a multi-faceted memory system:

  1. Semantic Memory: A knowledge base of facts about your work context, contacts, and preferences
  2. Episodic Memory: A collection of specific examples that guide decision-making through pattern recognition
  3. Procedural Memory: The ability to improve its own processes based on feedback and experience

This agent demonstrates how combining different types of memory creates an assistant that actually learns from interactions and gets better over time.

Imagine coming back from a two-week vacation to find that your AI assistant has not only kept your inbox under control but has done so in a way that reflects your priorities and communication style. The spam is gone, the urgent matters were flagged appropriately, and routine responses were handled so well that recipients didn’t even realize they were talking to an AI. That’s the power of memory-enhanced agents.

This is just a starting point! You can extend this agent with more sophisticated tools, persistent storage for long-term memory, fine-grained feedback mechanisms, and even collaborative capabilities that let multiple agents share knowledge while maintaining privacy boundaries.

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About

More on Newsletter

As an AI researcher, even years ago when the advancements weren’t as rapid, I wondered how I could keep up-to-date with new technological advancements – both at a high level and hands-on.

I created the DiamantAI community for this purpose: to provide people with simple access to everything new that comes up, well explained, and with code tutorials. ?

There is a gap between academia, industry, and the ways people can digest this information. We are here to bridge that gap for you.

We currently run three very successful OPEN SOURCE GitHub repositories:

  1. RAG Techniques
  2. GenAI Agents
  3. Prompt Engineering

Both adhere to the same format: a collection of Python notebooks implementing a vast number of tutorials, with detailed explanations, motivation, and well-documented code that can make complex new concepts easy to understand. ?

We keep working on these constantly, providing the most up-to-date techniques and code.

Source: Website

Web Links

Videos

Controlling LLM agents with Nir Diamant

July 20, 2024 (24:11)
By: Jonathan Yarkoni

https://www.youtube.com/watch?v=yPwFCcoc9bw

Books

Prompt Engineering from Zero to Hero – Master the Art of AI Interaction

Source: Website

Transform the way you work with AI – Develop the intuition to get exactly what you need from AI models

This comprehensive digital guide will take you from the absolute basics to advanced prompt engineering techniques that dramatically improve your AI interactions. More than just techniques, this book builds your intuitive understanding of how AI models think and respond, allowing you to craft effective prompts for any situation.

What’s Inside:

  • 22+ detailed chapters covering the complete prompt engineering journey
  • Practical code examples using LangChain that you can implement immediately
  • Deep intuition development – I don’t just show you how, but explain why techniques work with mental models and frameworks that make concepts click
  • Intuitive explanations of complex concepts using analogies and real-world comparisons
  • Step-by-step breakdowns of every function with the underlying reasoning clearly explained
  • Hands-on exercises in each chapter to build your skills and reinforce your intuitive understanding
  • Real-world applications showing how to apply these techniques with the reasoning behind each decision

DiamantAI Newsletter

Building a Comprehensive GenAI Knowledge Hub

Source: Website

This newsletter features organic content that our community creates. It will contain:

– Updates on new code tutorials of the new techniques that were added to our GitHub Repositories – You are very welcome to contribute your implementations!

– Blog posts explaining these methods

– New interesting papers that should and may be implemented

We also help related academic papers to get exposed by publishing tutorials regarding the paper method in our repo, and let you enjoy the cutting-edge new technologies – both conceptually and hands-on.

 

– Check out our GitHub Repositories for all our code tutorials and implementations:

– Join our flourishing Discord Community where you can discuss these techniques and ask for academic paper implementations:

AI Policy Posts

Guardrails for AI

Source: DiamantAI

What Are Guardrails and Why Do We Need Them?
Guardrails are the safety measures we build around AI systems – the rules, filters, and guiding hands that ensure our clever text-generating models behave ethically, stay factual and respect boundaries. Just as we wouldn’t let a child wander alone on a busy street, we shouldn’t deploy powerful AI models without protective barriers.

The need for guardrails stems from several inherent challenges with large language models:

The Hallucination Problem

The Bias Echo Chamber

The Helpful Genie Problem

The Accidental Leaker

How Guardrails Work in Practice

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