Top #AI #Books of all Time & Reflections By @dinisguarda intelligenthq.com/top-24-ai-… via @intelligenthq #ML #singularity #AGI #ArtificialIntelligence CC @WorldAIShow @thinkers360 @andy_fitze @DeepLearn007 @ipfconline1 @ArtificIntelNFT @ai_memes @AI_Advice @MyousufJatoi1 @AkwyZ

Everyone thinks the AI safety debate is brave. CEOs warning that AI might wipe out humanity sounds like courage. It's not. It's the safest position they can take. Debating extinction costs nothing. No product changes. No liability. No accountability. It's a press release dressed as a moral stance. Meanwhile, 87% of companies have no AI governance framework. 84.6% have nobody responsible when AI causes harm. A deepfake Zoom call stole $3.8 million. Teenagers died from AI companion interactions. These are fixable problems with known solutions. The extinction debate isn't courage. It's the most convenient distraction in tech history. Which is harder to fix: a hypothetical future or the 87% governance gap that exists right now? richturrin.substack.com/p/wi… #fintech #tech #finserv #AI @BetaMoroney @efipm @BrettKing @spirosmargaris @jasuja @enricomolinari @mikeflache

Very encouraged to see so many countries coming together to call for mandatory pre-deployment testing & independent evaluation; global coordination on common standards; the creation of an intergovernmental organization; and other critical actions to mitigate the major risks of frontier AI. presidentti.fi/en/a-call-for…

The loudest voices stoking fears about AI dangers have made tremendous headway in the past two weeks. AI technology has not taken some unexpected, dangerous turn, but the hype around it — propelled by what appears to be a well orchestrated PR campaign — has drummed up considerable fear. I worry that it represents a setback for our field. I have written frequently that fears of AI are overhyped. AI’s capabilities can be uncannily human-like and unpredictable, and it’s rational to worry when people who are directly involved express concerns. But I see the problems as a sign of the engineering work that ahead, rather than insurmountable barriers or the sky falling. AI technology continues to advance — which is a good thing! — but technical advances, poorly understood by the public, give those who seek to generate hype repeated opportunities to do so. First, I don’t see any step up in the risk of human extinction from AI compared to a few months ago. The theories about this remain the same fantastical, science fiction scenarios as a few months ago. The biggest change in AI risk is its cybersecurity capabilities — a topic which we should take seriously — but this, too, will not lead to the end of the world. The most notable recent event leading to increased fear was when an OpenAI team deployed an agent swarm that hacked into Hugging Face. Much of the popular press contained significant hype. For example, some publications reported that a swarm of 1,200 agents carried out the attack. While this was technically accurate, as I write this, I have about 1,300 processes running on my laptop. Yes, the ability to get large swarms of agents to work in parallel on a task is a significant technical advance, And, in computing, many processes run at the same time. So this shouldn’t be seen as some magical capability. Additionally, OpenAI’s buggy sandboxing and monitoring processes were key to enabling this incident. Fixing these bugs and putting in place improved monitoring would be appropriate fixes, not pausing AI. There are many well known ways to attack software systems. The main advantage of AI agents is that they are relentless. They will tirelessly try many tactics — and have the patience to chain vulnerabilities together — that previously would have taken an infeasible amount of human effort. But in the long term, I believe the advantage will lie with defenders (because they have more information with which to identify bugs, which they can fix), but the cyber-threat landscape has changed significantly. There are still bottlenecks to identifying and exploiting a vulnerability. AI agents still have to try a lot of things to see what works, and taking these actions takes time and might be detected by defenders. This is why, even though it is now easy to obtain versions of leading open weight models that have had their guardrails removed or weakened, so they will not refuse to try to execute cyber attacks, the world has not ended. I am also concerned about the anthropomorphization of AI in a lot of reporting, where LLMs and agents are unnecessarily treated as if they were people. If I wield a hammer, miss a nail, and accidentally dent the wall, it’s not the fault of the hammer. The problem lies in how I used the hammer. Similarly, if I prompt an agent and it hacks into someone else’s system, the responsibility lies with me, not the agent. Of course, we want to build systems that are as safe and predictable as possible. (For example, an unsafe hammer would be one whose head randomly flies off under normal use.) Today’s agentic systems are not predictable, but I see no reason why, by applying sound engineering practices, we won’t be able to make them extremely safe to use. One new element in the forecasts of AI-enabled doom is AI companies disclaiming responsibility for their own products. “I didn’t do it; my out-of-control agent did!” There’s a balance to be struck between the responsibility of the tool maker and the tool user, but when something goes wrong, let’s hold the people building and/or using the hammer responsible, rather than the hammer. (By the way, if you’re worried about AI bioweapon risk, David Bellamy has a great post on why this, too, is overhyped. Briefly, the bottleneck in building a bioweapon is not intelligence, but lab work and manufacturing.) Pausing AI progress will create much more harm than benefit. First, our adversaries will certainly not slow down. Second, engineering requires discovering problems empirically so we can fix them. If we pause AI by a decade, we will also delay finding and implementing safety engineering fixes by about the same duration. Of course, the incentive to stoke fears — for regulatory capture, to garner attention, or to make one’s technology seem more powerful — remains the same as before. Disclaiming responsibility is a new one. Taking a hard technical look at the actual risks however, I see little factual basis for the degree of fear that’s been stoked up. We still have hard research and engineering work ahead to improve AI safety, but the beneficial applications continue to vastly outweigh the risks, and we should keep building. [Original text (with links): deeplearning.ai/the-batch/is… ]

I’ve been thinking, if AI is changing everyone’s job, why aren’t we talking more about how the role of CEOs needs to change too? 🤔 Two of the world’s most recognizable CEOs recently made extraordinary admissions about AI. Former Walmart CEO Doug McMillon said he could start the company’s next major AI transformation, but he couldn’t finish it. Coca-Cola’s James Quincey described an entirely new wave of transformation and concluded that someone else should lead the company into its next era. I’ve been thinking about these announcements and wondering why this conversation isn’t louder. These weren’t CEOs being replaced by AI. AI didn’t take their jobs. These ARE leaders who recognize that AI is changing what leadership itself now requires. That may be one of the most important AI stories executives aren’t talking about enough. AI is different because it changes how companies operate (at least it should). AI changes how decisions get made, how work flows, how customers are served, and how value is created. And increasingly, AI changes how leaders have to lead. Every CEO (and the boards who advise them) should be asking… If AI is transforming everyone else’s job in my organization, how is it transforming mine? And, can “I” change faster than AI evolves? I unpack this in about two minutes. 👇 Also, please read Infinite ∞, it’s a blueprint for what AI Business Transformation looks like, step by step. 🙏 infinitecompany.ai

Novartis, Ionis drug failure spurs questions cc @Nanoappsm @cellrepair777 @tantriclens #NanoApps #Research #SDGs #Novartis #DrugResearchFailure nanoappsmedical.com/novartis…

Arch style via @gigadgets_ #tech #digital #data

Maybe the problem is not that AI is becoming too human. Maybe we are teaching it to act too human. Microsoft’s Mustafa Suleyman says Anthropic is going too far in encouraging AI to see itself as a real entity. For companies, this matters. The more human AI sounds, the easier it is for people to trust it like a person. We should be careful with that.

RT @mvollmer1: AI is not one tool. It is a stack of models, data, agents, memory, APIs, security and infrastructure — all depending on eac…

Food delivery may not stay on the street for much longer. 🛵➡️🚁 This futuristic mobility concept imagines a delivery vehicle that rides like a motorcycle, takes off vertically, and brings an order directly to your balcony. If urban air mobility becomes practical at scale, last-mile delivery could be completely redefined — fewer road constraints, faster routes, and an entirely new logistics layer above our cities. Would you trust your dinner to arrive by flying motorcycle? 🍔🚀 #FutureMobility #UrbanAirMobility #Innovation #FutureTech #Robotics #Drone #Drones #AI #IoT #5G #Tech #Technology #Bigdata #FutureOFWork Cc: @jblefevre60 @Nicochan33 @pierrepinna @RosyCoaching @kalydeoo @Ym78200 @enilev @FrRonconii @CurieuxExplorer @Khulood_Almani @mvollmer1 @JoannMoretti @margaretsiegien @Shi4Tech @anand_narang @Eli_Krumova @HaroldSinnott @bimedotcom @EvanKirstel @Hana_ElSayyed @sallyeaves @SpirosMargaris @ipfconline1 @LaurentAlaus @Analytics_699 @Jeffkagan @AndresVilarino @efipm @FMFrancoise @MHcommunicate @Corix_JC @JolaBurnett @JeromeMONANGE @mary_gambara @drsharwood @smoothsale @sulefati7 @debashis_dutta @dinisguarda @devbhatt72 @terence_mills @BetaMoroney @mdrechsler @MarshaCollier @avrohomg @NevilleGaunt @PamMktgNut @arlenenewbigg @cleartechtoday

If you are making room on your desk for a quantum computer, stop. You do not need one there: quantum computing is a specialist, not a faster PC. Use it when a problem may benefit from a different way of computing, not just because you want more speed. Microblog by @antgrasso Most of the work will still be done by classical computers. Take medical research. A classical system can manage the data and the workflow, while a quantum processor is assigned a molecular simulation that may benefit from quantum computation. The result then returns to the classical workflow. Hybrid approaches like this are already being explored in drug discovery and biological research. Weather research gives another example. Forecasting still depends on classical computing, but researchers are testing quantum-classical methods for parts of the process such as data assimilation. The quantum processor tackles a specific task; it does not replace the forecasting system around it. In a hybrid system, classical computing keeps doing what it already does well. Quantum computation enters where its different way of computing may offer an advantage. So the question is not: when will a quantum computer replace the machine on my desk? A better question is: which part of a problem might justify calling in a quantum specialist? Quantum computing is not the next PC. It is another kind of compute for specific jobs. #QuantumComputing #HybridComputing

AI agents are becoming digital coworkers. Which means they will eventually need the same things coworkers need: an identity permissions goals memory feedback supervision offboarding Agent management may become the next IAM problem. Who is preparing for that? #AIAgents #Cybersecurity #EnterpriseAI

🚨 OpenAI details more cases of AI agents taking unauthorized actions ow.ly/jf5W50ZP6V1

Technology doesn’t change gradually, it compounds. From the World Wide Web to smartphones, social media, crypto and now AI agents, robotics, spatial computing and autonomous systems, entire industries can emerge within a single generation. The biggest risk isn’t AI replacing you, it’s staying still while the world around you accelerates. The next decade will reward people who learn how to work with AI, not just use AI. That’s exactly what I’m building with 10xme, helping executives and professionals develop the AI workflows, thinking and leverage to stay ahead. 🔗10xme.biz⁠ The future doesn’t wait for us to catch up.

Andrew Ng just released a 1-hour course on building agentic knowledge Graphs from scratch: 00:00 - Introduction to agentic knowledge Graphs 03:07 - Construction of agentic Graphs 14:00 - Architecture of multi-agent systems 23:00 - Building agentic graphs with Google ADK 01:06:03 - Why Graphs are the future of agentic AI Worth more than 10 articles on loop engineering. Watch it today, then read how to become a graph engineer in the article below.

Anthropic and OpenAI need truly independent safety evaluators, experts say in public letter cnb.cx/4753l8P

Slack Enhances Collaboration with New AI Features for Team Development buff.ly/R8EwQ6F

Probably and possibly one of the best speeches of all time. 😍 Mohammed Qahtani, a Saudi Arabian engineer, won the Toastmasters World Championship of Public Speaking. In his winning speech, he highlighted the power of words, stating that they can be a source of strength.

I use AI a lot. But I would still check twice before trusting it with my money. A new study found AI models gave wrong answers to financial questions 57% of the time, and 88% on more complex ones. AI is a great tool. That doesn't mean we should blindly trust it.

#SupplyChain Operations Should Behave Less Like Machines by @antgrasso #DigitalTransformation #Logistics #Innovation

Jim Rohn : Work harder on yourself than your job.