Google paper advocates for LLMs to express uncertainty clearly

AI-driven capital expenditure may boost GDP and employment but risks inflation persistence and higher borrowing costs, challenging economic stability. The post Morgan Stanley questions whether AI has made the US economy less responsive to market forces appeared first on Crypto Briefing.

Jeff Park argued that crypto is entering a phase similar to Nvidia’s pre-mainstream AI era, when the technological shift was visible to early believers but not yet obvious to the broader market. In an X post defending crypto’s ideological roots on Sunday, Park framed today’s industry as being in a difficult “middle game” before onchain capital markets become self-evident infrastructure. Park’s comparison centered on Nvidia CEO Jensen Huang and Elon Musk’s first public appearance together at GTC 2015, a moment he described as occurring inside a narrow window before AI had become a mainstream consumer or institutional priority. By then, Huang had spent decades backing parallel graphics processing and had supported CUDA since 2006, while Musk had already had what Park called his “Hassabis moment” in 2012. OpenAI, he noted, had not yet been founded. “This is that narrow window where a revolution is visible to some but not others,” Park wrote, “in which both of these geniuses had early inkl

The letters examine the growing influence of artificial intelligence (AI) on today’s and future human lives and call to remain “profoundly human.” Leo XIV acknowledges that AI changes the current Social Doctrine and calls for protecting jobs and the role of work in the economy. Pope Leo XIV Issues First AI Encyclical Letter: Humanity Must […]

Guest Post By Mark M.J. Scott President of Northern Pixels Inc. Silicon Valley has a new obsession: taste. In recent months the word has saturated tech podcasts, founder manifestos, and investor frameworks. Paul Graham declared that in the AI age taste will become even more important. The humanities — long dismissed in tech circles as decorative […]

The agencies that benefit most will be the ones that treat governance as operating infrastructure.

The encyclical's ethical framework on AI and digital assets could influence global tech policies, emphasizing moral responsibility and equity. The post Pope Leo XIV issues encyclical on AI, warns of ethical risks and partners with Anthropic appeared first on Crypto Briefing.

Google has introduced Agent Executor, an open source runtime aimed at helping enterprises run AI agents more reliably at scale, as attention shifts from building agent prototypes to managing the operational challenges of putting them into production. To address those production-related challenges, the runtime, according to the company, comes with capabilities that are geared towards supporting long-running and distributed agent workflows. Typically, long-running agent workflows are AI-driven tasks that execute over extended periods, from minutes to days, often involving multiple steps, system interactions, pauses for human input, or recovery from interruptions before reaching completion. For such workloads, the runtime includes support for durable execution, allowing workflows to resume after outages or human approvals, along with secure sandboxing for isolating agent components, session consistency controls for distributed workflows, and connection recovery features intended to preser

Google has introduced Agent Executor, an open source runtime aimed at helping enterprises run AI agents more reliably at scale, as attention shifts from building agent prototypes to managing the operational challenges of putting them into production. To address those production-related challenges, the runtime, according to the company, comes with capabilities that are geared towards supporting long-running and distributed agent workflows. Typically, long-running agent workflows are AI-driven tasks that execute over extended periods, from minutes to days, often involving multiple steps, system interactions, pauses for human input, or recovery from interruptions before reaching completion. For such workloads, the runtime includes support for durable execution, allowing workflows to resume after outages or human approvals, along with secure sandboxing for isolating agent components, session consistency controls for distributed workflows, and connection recovery features intended to preser