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Fable 5.1 includes changes meant to reduce token cost and false-positive restrictions from the model's safeguards.
New York's prestigious-yet-secretive venture firm Thrive Capital finally speaks out about its involvement in the messy drama upending international soccer.
When large language models (LLMs) hallucinate, developers typically assume the model lacks the required facts. Engineering teams diagnose the error as missing knowledge. The standard response is to increase model size, expand training data, or build complex retrieval architectures.A new study by researchers at Google Research and Technion demonstrates that the knowledge is often not missing. The model has the information encoded parametrically but fails to surface it during generation. Their experiments show that frontier models like GPT-5 and Gemini-3 encode 95-98% of tested facts. This indicates that in many cases, recall, rather than encoding, is the primary bottleneck for factual accuracy. By understanding how to unlock existing knowledge through inference-time computation, engineering teams can build more reliable applications without necessarily relying on larger models or external databases.Knowledge profiling: measuring what models actually knowTo map this gap between storage a
Depending on who you ask, developer platform Hugging Face was recently attacked by OpenAI - after it lost control of its own AI tools - or by a succession of AI "civilizations." Welcome to the linguistic battlefield of AI safety, where word choices can shift responsibility for a massive cybersecurity incident from a company to the AI it built. And the discourse online is getting heated, and all over a blog from last week. Until last week, the details surrounding the OpenAI-Hugging Face hack felt fairly settled. In July, a cybersecurity test of one of OpenAI's autonomous AI agents went wrong. The agent escaped its supposedly isolated test en … Read the full story at The Verge.
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Egiziago Cioffi is the IT and Enterprise Architect and CEO of SynSphere Italia, a Microsoft partner based in Milan. He built an agent himself. He wrote the indexing job, configured the Azure OpenAI retrieval pipeline, connected it to SharePoint, and watched it pass every evaluation his team ran.His Azure OpenAI email assistant auto-resolves about 60% of inbound customer email, Cioffi told VentureBeat in written responses to our interview questions. The evaluation scores were clean, and the unit tests passed. None of them asked the question that mattered.Cioffi ran a low-privilege account against the same questions a high-privilege account had already put to the assistant. The outputs did not match. The assistant returned SharePoint content the requesting user could not have opened in SharePoint on their own. The logs told a different story than the evaluation scores.Cioffi s retrieval logs are the evidence for this specific production failure. What follows is independent data showing t
August 2026's top 10 stories included large funding rounds, updates in the humanoid robot industry, and the latest physical AI models. The post Top 10 robotics stories of August 2026 appeared first on The Robot Report.
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AI agents are moving beyond simple question-and-answer systems.Continue reading on Medium »
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The East India Company invented circular finance in 1772. NVIDIA perfected it in 2026.Continue reading on Thought Thinkers »
With Google Pics, Google is pushing deeper into the creative software market dominated by Canva and Adobe, but with a distinctly AI-first approach.