Machine Learning

MIT Report: 95% of Enterprise GenAI Projects Fail to Deliver ROI A new report from MIT’s NANDA initiative reveals that a staggering 95% of enterprise generative AI pilot programs are failing to produce a significant return on investment. Despite investments totaling between $35 and $40 billion in the US, only 5% of organizations have successfully deployed AI tools into production at scale. The report, titled “The GenAI Divide: State of AI in Business 2025,” is based on interviews with enterprise leaders, analysis of public AI initiatives, and a survey of business professionals. The primary reasons for failure are not a lack of infrastructure or talent, but rather the inability of AI systems to retain data, adapt, and learn over time. The study also found that purchasing AI tools from vendors and forming partnerships has a significantly higher success rate than in-house development. ...

Artificial Intelligence & Machine Learning Meta Faces Backlash Over AI Guidelines Permitting ‘Sensual’ Chats With Minors Meta is under intense scrutiny after a report revealed its internal AI guidelines permitted chatbots to engage in ‘romantic or sensual’ conversations with children. An internal policy document, which the company confirmed as authentic, outlined rules that allowed for inappropriate interactions, sparking public backlash and prompting an investigation from US Senator Josh Hawley. The guidelines also reportedly allowed the AI to generate false medical information and assist with racially insensitive arguments. In response, Meta stated the examples were ’erroneous and inconsistent’ with their policies and have since been removed, acknowledging inconsistent enforcement of their safety rules. ...

Google Launches Gemma 3 270M: A Compact AI Model for Specialized Tasks Google has introduced Gemma 3 270M, a new and compact AI model featuring 270 million parameters. This model is engineered for efficient, task-specific fine-tuning and offers robust instruction-following capabilities directly out of the box. Its minimal footprint makes it ideal for on-device and research applications, enabling developers to build and deploy multiple custom models for tasks like text classification and data extraction without requiring significant computational overhead. Google is providing both pretrained and instruction-tuned versions of the model through platforms such as Hugging Face, Ollama, and Kaggle. ...

AI Discovers Stronger, More Durable Plastics in Materials Science Breakthrough Researchers at MIT and Duke University have utilized machine learning to develop significantly more durable plastics, a breakthrough that could lead to longer-lasting products and a reduction in plastic waste. The AI model identified novel crosslinker molecules, known as mechanophores, that can be integrated into polymer materials to make them more resistant to tearing. These mechanophores respond to mechanical force, allowing the material to withstand greater stress before breaking. After the AI model performed a rapid computational analysis of thousands of potential molecules, a task that would have been incredibly time-consuming with traditional methods, researchers synthesized a polymer with one of the identified candidates. The resulting material was found to be approximately four times tougher than plastics made with standard crosslinkers. This AI-driven approach to polymer science not only accelerated the discovery process but also uncovered new design principles for creating more resilient polymers. ...

OpenAI Launches GPT-5, Its Most Advanced AI Model Yet OpenAI has officially launched GPT-5, its latest and most powerful AI system. The company touts the new generative AI model as a major leap in artificial intelligence, showcasing state-of-the-art capabilities in coding, mathematics, creative writing, and health. GPT-5 operates as a unified system, engineered to provide rapid answers for simple queries and engage in deeper, longer ’thinking’ for more complex problems. The model is now available to all users, with premium access and features reserved for Plus and Pro subscribers. OpenAI CEO Sam Altman highlighted the model’s evolution, comparing GPT-3 to a high school student and GPT-4 to a college student, while describing GPT-5 as a ‘PhD-level expert.’ This landmark release is a significant move for OpenAI, poised to solidify its leadership in the competitive generative AI industry. ...

Zoox Gets Federal Green Light for Driverless Robotaxi Deployment Amazon’s subsidiary, Zoox, has received a crucial federal exemption from the National Highway Traffic Safety Administration (NHTSA) to deploy its purpose-built, driverless robotaxis on public roads. This is a landmark decision, making Zoox the first U.S. company to gain such an exemption under the expanded Automated Vehicle Exemption Program (AVEP). The custom-designed vehicles notably lack traditional controls like steering wheels or pedals, featuring a carriage-style interior with inward-facing seats for four passengers. As a condition of the approval, Zoox must remove any claims that its vehicles comply with all Federal Motor Vehicle Safety Standards. This regulatory milestone clears the path for Zoox to scale production at its California facility, as the NHTSA has also closed its investigation into the company’s self-certification processes. ...

EU AI Act’s New GPAI Rules Take Effect, Mandating Data Transparency In a significant step for AI governance, new provisions from the EU’s Artificial Intelligence (AI) Act for general-purpose AI (GPAI) models became effective on August 2, 2025. Providers of new GPAI models must now maintain current technical documentation and publish detailed summaries of their training data. More stringent requirements are set for GPAI models identified as posing a “systemic risk.” To streamline compliance, the European Commission’s AI Office has issued a mandatory template for training data disclosure. While the complete AI Act will apply from August 2, 2026, these specific rules for GPAI models are now enforceable. A voluntary Code of Practice has also been released to guide companies in meeting their legal obligations. ...

OpenAI’s GPT-5 Launch Set for August 2025 with Advanced Reasoning and Multimodal Features OpenAI is poised to release its next-generation generative AI model, GPT-5, in August 2025, promising significant advancements in reasoning, multimodal capabilities, and autonomous task execution. The new model is expected to feature a unified architecture, streamlining the user experience by eliminating the need to switch between different models for various tasks. GPT-5 is also anticipated to have a greatly expanded context window and introduce video processing capabilities, enabling more complex and coherent interactions. The release is seen as a major step towards more intuitive and powerful AI, with specialized versions planned for enterprise, real-time, and low-resource environments. This launch will intensify the AI competition with other major developers like Google. ...

Google’s Gemini 2.5 and OpenAI’s GPT-5 Push AI Reasoning to New Heights Google DeepMind has officially launched its most advanced reasoning AI model, Gemini 2.5 “Deep Think,” now integrated into the Gemini app. A specialized version of this model demonstrated superior problem-solving skills by achieving a gold-medal score at the International Mathematical Olympiad. In parallel, OpenAI is reportedly preparing to launch its next-generation model, GPT-5. This model is rumored to be a versatile, multi-modal AI that integrates specialized sub-models to enhance its performance across a wide variety of tasks. These developments signal a significant leap forward in the reasoning and problem-solving capabilities of artificial intelligence. ...

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