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For the past year, enterprise decision-makers have faced a rigid architectural trade-off in voice AI: adopt a "Native" speech-to-speech (S2S) model for speed and emotional fidelity, or stick with a "Modular" stack for control and auditability. That binary choice has evolved into distinct market segmentation, driven by two simultaneous forces reshaping the landscape.What was once a performance...
It's refreshing when a leading AI company states the obvious. In a detailed post on hardening ChatGPT Atlas against prompt injection, OpenAI acknowledged what security practitioners have known for years: "Prompt injection, much like scams and social engineering on the web, is unlikely to ever be fully 'solved.'"What’s new isn’t the risk — it’s the admission. OpenAI, the company deploying one of...
Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties. While the prevailing sentiment in the industry has been "more agents is all you need," the research suggests that scaling agent teams is not a guaranteed path to better performance.Based on their...
While Silicon Valley debates whether artificial intelligence has become an overinflated bubble, Salesforce's enterprise AI platform quietly added 6,000 new customers in a single quarter — a 48% increase that executives say demonstrates a widening gap between speculative AI hype and deployed enterprise solutions generating measurable returns.Agentforce, the company's autonomous AI agent platform,...
Unrelenting, persistent attacks on frontier models make them fail, with the patterns of failure varying by model and developer. Red teaming shows that it’s not the sophisticated, complex attacks that can bring a model down; it’s the attacker automating continuous, random attempts that will inevitably force a model to fail.That’s the harsh truth that AI apps and platform builders need to plan for...
Presented by EdgeVerveArtificial intelligence (AI) has long promised to change the way enterprises operate. For years, the focus was on assistants, systems that could surface information, summarize documents, or streamline repetitive tasks. While valuable, these technological assistants were reactive: they waited for human prompts and provided limited support within narrow boundaries.Today, a new...
João Freitas is GM and VP of engineering for AI and automation at PagerDutyAs AI use continues to evolve in large organizations, leaders are increasingly seeking the next development that will yield major ROI. The latest wave of this ongoing trend is the adoption of AI agents. However, as with any new technology, organizations must ensure they adopt AI agents in a responsible way that allows them...
Tony Stoyanov is CTO and co-founder of EliseAIIn the 2010s, tech companies chased staff-level specialists: Backend engineers, data scientists, system architects. That model worked when technology evolved slowly. Specialists knew their craft, could deliver quickly and built careers on predictable foundations like cloud infrastructure or the latest JS frameworkThen AI went mainstream.The pace of...
While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models.Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI model designed to solve one of the most persistent bottlenecks in modern application development: reliability at the edge. Unlike general-purpose chatbots, FunctionGemma is engineered for a single,...
2025 was supposed to be the year of the AI agent, right? Not quite, acknowledge Google Cloud and Replit — two big players in the AI agent space and partners in the "vibe coding" movement — at a recent VB Impact Series event.Even as they build out agentic tools themselves, leaders from the two companies say the capabilities aren’t quite there yet. This constrained reality comes down to struggles...