InfoWorld AI·
Modern AI systems have evolved beyond the simple chatbots that quickly became popular. Now they use semantic tools to manage workflows and link machines to machines, providing a flexible and effective framework for the next generation of business automation. What you used to build in Microsoft’s Power Platform or construct inside Biztalk is now an agent, built around large language models (LLMs) that can parse both your data and the APIs that you want to use your data with, orchestrating workflows with a level of autonomy that traditional tooling can’t match. That shift has offered new opportunities, much like those that came with business platforms like Microsoft Dynamics and Salesforce. Here, tools built to solve one set of business problems could be turned into applications that could be sold to other companies. What worked for you to solve one of your problems could now be an added revenue stream, sold through platform marketplaces that helped customers manage installations and cus
Read full articleKimi-K2.7-Code's efficiency and open-source nature could democratize AI-driven coding, reducing costs and enhancing accessibility for developers. The post Kimi AI releases open-source K2.7 Code model with 1 trillion parameters on APIs and Hugging Face appeared first on Crypto Briefing.
‘Listen, that's not what I'm here for, right?' | Image: Apple Our early testing has already shown that Siri AI knows when to shut up, and that's very much by design. In an interview with Mostly Human, Apple's Craig Federighi said new Siri won't act all sycophantic like chatbots made by OpenAI, Google, and others. "As you may know, if you use many of the existing chatbots, they're really focused on engagement to a large degree," said Federighi who is responsible for software at Apple. "And sycophancy, right? They kind of want to pull you in. They might encourage you to reveal things about yourself, and then use that as a basis to establish a connection." Apple purposely took a different approach with … Read the full story at The Verge.
Anthropic has apologized for stealthily throttling its new AI model, Claude Fable 5, with hidden guardrails that undermine both researchers and rivals using it to develop competing systems. The company says it is reversing course and will be more transparent about when the restrictions kick in, even if that means Fable refuses more queries. Fable is the first widely available model in Anthropic's Mythos class of AI systems, a group the company has spent months warning are too dangerous for public release. Anthropic says it has addressed some of those risks by launching Fable with safeguards that prevent it from responding to certain "high-r … Read the full story at The Verge.
DeepMind's initiative could redefine AI collaboration, impacting fields from economics to social sciences by exploring emergent group dynamics. The post Google DeepMind launches $10M research fund to study how AI systems behave in groups appeared first on Crypto Briefing.
Artificial intelligence is evolving from chatbots and simple search tools into what’s being called Agentic AI.
Chatbots are appropriating our most common rhetorical tics. Yet when it comes to language, human creativity can’t be beat.
LF AI & Data Foundation, a division of the Linux Foundation, launched a working group on Tuesday that will focus on the development of DocLang, a specification intended to support interoperable document processing across AI and agentic workflows. The working group, founded by premier members IBM, Nvidia and Red Hat, is tasked with the creation of an open, universal, AI-native document format designed to improve how enterprises prepare, exchange, and govern document data for AI systems. Contributors ABBYY and Human Signal will also be involved in its development. The announcement stated, “enterprises today work across a fragmented landscape of document formats, including PDFs, JPEGs, and other file types built primarily for human consumption rather than AI interpretation.” As organizations increasingly rely on generative AI and agentic systems, it said, “this disconnect can introduce complexity, raise costs, and reduce reliability when extracting meaning from business documents.” Mark C
AI's struggle with continuous learning reveals a critical gap between artificial and human cognitive processes. The post Chris Summerfield: AI systems mimic human behavior through vast data training, the challenge of continuous learning remains unsolved, and sleep is vital for cognitive function | The Peter McCormack Show appeared first on Crypto Briefing.
