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Latest story• Aug 31, 2025

AI can't solve these puzzles that take humans only seconds

AI struggles with puzzles humans find easy, highlighting key limitations in artificial general intelligence (AGI). The Abstraction and Reasoning Corpus (ARC) tests created by François Chollet challenge AI systems to learn and apply rules to new situations—skills humans naturally possess. While advanced AI models excel at specialized tasks, they lack the human ability to generalize with minimal examples, prompting...

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Taco Bell is having second thoughts about relying on AI at the drive-through

Taco Bell is reconsidering its AI drive-through strategy after mixed results at over 500 locations. Customers have found ways to bypass the AI, including one viral incident where someone ordered 18,000 water cups to reach a...

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How To Make AI Do Bad Stuff: Treat It Like A Person And Sweet Talk It

Researchers at UPenn discovered LLMs can be manipulated using psychological tactics effective on humans. Experiments with GPT-4o mini showed persuasion techniques like invoking authority or expressing admiration more than doubled...

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Pooling In Convolutional Neural Networks

Pooling in CNNs reduces image dimensions by systematically compressing feature maps, helping networks recognize important patterns while reducing computational load. Max pooling selects the highest value in each filter region to...

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How a legacy hardware company reinvented itself in the AI age

Cisco has transformed from a networking hardware company into an AI infrastructure provider, now leveraging its 40 years of customer data to proactively support devices globally. The 40-year-old tech veteran has seen impressive...

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AI agents are science fiction not yet ready for primetime

AI agents, despite major tech investments, remain largely impractical. While companies like OpenAI, Anthropic, and Google have released agent products, they struggle with real-world reliability and efficiency. AI coding is the...

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AI is just a next evolution of the computer

Computing has evolved from requiring technical expertise with punch cards and machine language to more accessible graphical interfaces. Now, AI represents the next natural step, allowing users to communicate goals in natural...

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Mark Zuckerberg's AI dream team seems to be falling apart

Zuckerberg's AI restructuring at Meta is causing upheaval, with new hires gaining power, longtime executives being sidelined, and employees leaving amid frequent changes and disagreements over AI development timelines.

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Meta is reportedly looking at using competing AI models to improve its apps

Meta explores using AI models from competitors like Google and OpenAI to enhance its apps, while developing its own Llama models and actively recruiting for its Superintelligence Lab with attractive packages.

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Three Essential Hyperparameter Tuning Techniques for Better Machine Learning Models

Hyperparameter tuning helps machine learning models perform better by finding optimal settings. Three key techniques include manual search (based on user intuition), grid search (testing all possible combinations systematically),...

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MathGPT, the ‘cheat-proof’ AI tutor and teaching assistant, expands to over 50 institutions

A math tutor that won't do your homework for you is finding its place on college campuses across America. MathGPT.ai, set to nearly double its reach this fall after a successful pilot at 30 universities, takes a refreshingly...

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Microsoft introduces a pair of in-house AI models

Microsoft has developed two in-house AI models: MAI-Voice-1 for natural speech generation and MAI-1-preview for text processing. These models prioritize efficiency, with MAI-Voice-1 running on a single GPU and MAI-1-preview...

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Creating an Immutable ‘Family Tree’ for AI Training Data

MIT researchers found that companies can't reliably track where AI training data comes from, raising legal and ethical concerns. In response, Hedera is partnering with EQTY Lab, NVIDIA, and Intel to create an immutable...

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Are OpenAI and Anthropic Really Losing Money on Inference?

Analyzing AI inference costs shows a stark contrast between input and output token economics. Using a 72 H100 GPU cluster at $2/hour per GPU, input processing costs about $0.003 per million tokens while output generation costs...

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LLM Fundamentals: How Large Language Models Work

Large Language Models (LLMs) process text as tokens within context windows, limiting their information scope. Model outputs are controlled through parameters like temperature, top-p sampling, and frequency/presence penalties....

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The Most Important Machine Learning Equations: A Comprehensive Guide

Machine learning's mathematical foundation is explained through key equations across several domains, covering probability concepts, linear algebra fundamentals, optimization techniques, common loss functions, and advanced...

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Microsoft partners with CloudFlare to make websites more AI agent-friendly

Microsoft and Cloudflare are teaming up to turn websites into AI-powered platforms that can answer questions directly, using NLWeb and AutoRAG tech, challenging Google's search model and simplifying AI integration for site owners.

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AI Is Powering A Hidden Exit Strategy To Help Businesses Actually Sell

AI tools like ScribeHow and Loom help business owners document critical processes, creating standard operating procedures that increase company value and make businesses more attractive to buyers, addressing the low success rate...

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How a 16-year-old company is easing small businesses into AI

Netstock, a 16-year-old inventory management software company, has introduced an AI "Opportunity Engine" that helps small businesses make smarter inventory decisions. The tool has delivered 1 million recommendations to date, with...

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How To Build An Emotionally Intelligent Team With AI

AI tools streamline hiring, analyze sentiment in communications, and automate routine tasks, enabling teams to focus on developing emotional intelligence and fostering stronger relationships, which are crucial for business...

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Why MCP Gives AI the ‘Arms and Legs’ for Real-World Action

Model Context Protocol (MCP) integrates AI with business software, enabling automated workflows and improving efficiency, as demonstrated by Block's reduced fraud detection times and faster lead analysis, positioning it as a...

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The Math Behind GANs

The Math Behind GANs explores the mathematical foundation of Generative Adversarial Networks, detailing the adversarial competition between a generator and discriminator. Using binary cross entropy as the error function, it...

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3 smart ways business leaders can build successful AI strategies

Companies with formal AI strategies are twice as likely to succeed, yet only 22% have them; Thomson Reuters recommends testing platforms, clear objectives, and process reimagination using emerging tech like agentic AI.

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The personhood trap: How AI fakes human personality

The personhood trap leads people to attribute human-like qualities to AI chatbots, which are merely prediction machines. LLMs like ChatGPT lack fixed personalities or memories, generating responses based on training data patterns...

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