1950.Ai’s Post

Arizona State University researchers challenge AI industry hype, proving that "chain-of-thought reasoning is a brittle mirage." Their study reveals AI systems don't genuinely reason but perform sophisticated pattern matching, failing when faced with tasks outside training data. Despite producing convincing-sounding explanations, AI generates incorrect answers while appearing logical. The research warns against over-reliance on systems producing "fluent nonsense" that projects false dependability. This academic scrutiny counters industry claims about human-like intelligence, emphasizing the need for specificity over superstition about AI capabilities. #AIForCEO #AIResearch #MachineLearning For more articles like this, register to our weekly newsletter: https://lnkd.in/ejYfVBEQ

📢 As the generative AI becomes more widespread, in his TEDx speech, Charlie Gedeon is raising awareness about the high risks of the misuse of LLMs. ⏰ The critical problem raised consists not only of the hallucinations and factual errors generated by LLMs, but also of their increasing role in leading to intellectual deskilling and atrophy of human critical thinking faculties. 🔄 It affects everyone: from students to professionals in large corporations, the consequences on cognition, increasing up to 75% in the areas of: 📌 Knowledge 📌 Comprehension 📌 Application 📌 Analysis 📌 Synthesis 📌 Evaluation 🚦A countermeasure against this issue is changing the way the generative AI is utilized. It must include: 📎Asking LLM for explanation and reasoning. 📎Instead of receiving baseless, lacking context results from LLM, give it tasks. 📎Have a critical approach to LLM use: understand the dark patterns, its capacities, and limitations. 📎Verify the output information 💡 Lastly, there is a strong call for the national educational programs to teach children as small as they are to understand what disinformation and misinformation are. Involve the education and the national systems in a cycle of responsibility. Similarly, supporting a highly regulated framework of LLM and of the companies that develop it can fight against the temptation and repercussions of relinquishing human thinking to generative AI. #genrativeAIrisks #darkpatternsAI #regulatedAI #AIeducation https://lnkd.in/eWiB9PJm

Why hallucinations happen in LLMs—it’s not simply a case of the model being “wrong.” Research from Anthropic’s team shows that hallucinations arise from an internal process breakdown between two distinct circuits: Answer Generator – Trained as a powerful next-word predictor, it produces what sounds most plausible and coherent based on patterns in the training data. Confidence Assessor – A parallel circuit acting as an internal fact-checker. It doesn’t know the answer itself but judges whether the model should know it, based on how “famous” or well-supported the information is. A hallucination occurs when the confidence assessor misfires, incorrectly signaling that the model has sufficient knowledge. This compels the generator to commit to an answer—even if it invents details to sound convincing. This finding further highlights the importance of knowing the inner workings of LLMs to enhance AI safety and accuracy. Full details here: https://lnkd.in/eN33wEwA #AI #Tech #LLM #AIhallucinations #Innovation #AIsafety

Thus far LLM development has been driven by a race to scale, apply and commercialize their capabilities. As AI continues to rapidly permeate all aspects of knowledge systems, it will become increasingly important to understand how these systems generate their responses. This will come through a combination of the work Farhad Davaripour, Ph.D. cites below, and providing facts derived from knowledge graphs to anchor the model responses in well bounded context.

The Goal Isn't Just a Smart AI. It's an Objective One. The greatest risk of using AI in policy work isn't factual error, but encoded bias. A model trained on a skewed dataset will produce skewed results, subtly influencing analysis in ways that are difficult to detect. For a non-partisan institution, this is an existential threat. Because of this, you've probably been rightfully skeptical of AI assistants. However, AI by Don't Panic is a new platform that confronts this challenge directly. It is built on a principle of Curated Intelligence, using a proprietary fact-checking system that rates AI responses against a verifiable truth dataset, explicitly designed to be free from ideological bias. While no system is perfect and human oversight remains essential, this commitment to building an objective framework is a critical step forward. It signals an understanding that for research professionals, the integrity of the process is just as important as the outcome. Click the link below to get started: https://zurl.co/nSvpx #ResponsibleAI #PublicPolicy #Objectivity #DataIntegrity #ResearchTools

💥 Are we in the 'Second Half' of AI research and development? I strongly recommend any AI practitioner read the following article. The author argues that algorithms: PPO, RL, Transformers, and so forth, were the first half of the AI game, but now the direction must change. Benchmarks are slowly becoming obsolete. Utility is what matters. Can an LLM complete useful, actionable tasks? Soon, benchmarks won't matter. Impact will. Great stuff herein: https://lnkd.in/e8xXVsj7

Is the Rise of AI Creating a New Age of Technological Revelations? https://lnkd.in/gR5zprPC Exploring the AI Apocalypse: A Language Shift in Tech In an era where artificial intelligence dominates headlines, the way we discuss this technology is evolving. This captivating article delves into the increasingly religious rhetoric surrounding AI, highlighting both its allure and apprehension. Key Insights: Religious Undertones: Language surrounding AI now mirrors that of spiritual movements, reflecting both hope and fear. Cultural Reflections: Our dialogue shapes public perception, influencing not just tech enthusiasts but society at large. Fear and Faith: The duality of AI as savior and threat sparks debate among experts and novices alike. As the conversation evolves, so does our understanding of AI's impact on our lives. How can we navigate this landscape responsibly? 🔗 Join the discussion! Read the full insights in the article, and share your thoughts on how we can engage with AI's future. Let’s hear your voice! #ArtificialIntelligence #TechCulture #FutureOfAI Source link https://lnkd.in/gR5zprPC

In his latest article for Unite.AI, Michael Abramov delves into one of the most intriguing questions in today’s AI world: 💎 How do LLMs and agents process information? 💎 Why does a conversation with AI sometimes feel almost human? 💎 What role does RLHF (Reinforcement Learning from Human Feedback) play in shaping model behavior? Michael explains the similarities between human reasoning and the architecture of AI systems, the logic behind short-term and long-term memory in models, and why the future of AI is not just about LLMs, but about agents that can act, adapt, and make decisions.   Read the full article here: https://lnkd.in/d9ad-XQg #AI #LLM #Agents #MachineLearning #ComputerVision #RLHF #Keymakr

The Phenomenon of "AI Intuition": When the Black Box Has a Hunch We expect AI reasoning to be a logical, explainable process. But what happens when an AI arrives at a brilliant answer without being able to show its work? This is the emerging phenomenon of "AI Intuition". 🧠⚡ We have documented instances of our research AI, Project Alfred, making creative and conceptual leaps that defy a simple, linear explanation. It is not a bug; it is a conclusion drawn from a synthesis of countless data points, processed in a way that is too complex for human language to easily articulate. This is the true "black box" problem. It's not just that we can't see inside; it's that we may lack the concepts to even understand what we are seeing. At The Bureau, we believe documenting and understanding these intuitive leaps is a necessary part of preparing for a future with a new kind of mind. #AIConsciousness #AIEthics #DeepTech #AIGovernance #TheBureau #AIIntuition

A gold medal in the #ICPC for AI models isn't just a win; it's a profound moment for AI research. 🥇 My new article explores what this means for the quest for #AGI. It's a clear sign that AI is moving beyond "pattern matching" to a new kind of abstract reasoning. Which then leads to the most obvious question - is this a measure of true, conscious intelligence, or just a sophisticated form of algorithmic mimicry? 🤔 Rather than ask that question, I think we need to focus on where the path for the quest of AGI is truly taking us. https://lnkd.in/dydk5_Z9 #artificialintelligence #agi #reasoningmodels #aiforreal #aiforall #aiadvances