Artificial intelligence

Artificial intelligence

I think there will be actually a high demand for jobs, but not necessarily the same jobs,

PromptQL is an enterprise platform that aims to automate some of the work of a typical consultant, like surfacing insights and generating reports. It helps clients build custom AI analysts by integrating their internal data with the foundation models they already use. Once deployed, these AI analysts can perform tasks typically handled by data scientists or engineers - and continuously learn and adapt to their environments over time.

Google Ads now uses your PMax campaigns for Waze ads. Google also expanded channel performance reporting to all PMax campaign users. Google Finance added a ton of new AI features. Google Merchant Center has new preferred audience targeting for promotions. Google Merchant Center also added a new content creative section. Google Discover has numerous ongoing tests. And I posted the weekly SEO video recap.

The European Commission is considering plans to delay parts of the EU's landmark Artificial Intelligence Act, after intense pressure from businesses and Donald Trump's administration. The commission confirmed that a reflection is still ongoing on delaying aspects of the act, after media reports that it was weighing changes to the law with the aim of easing demands on companies. The EU's act, the first comprehensive legislation in the world regulating artificial intelligence, came into force in 2024, but many of its provisions do not yet apply.

We're all living in a cyberpunk novel now. Unconstrained billionaires have space programs and robot armies. People are falling in love with and marrying AI chatbots. You can make movies where you're the star by typing a few sentences. Companies offer designer babies as a service. We've got brain implants for controlling computers, flying cars, robotic surgery, AI-controlled prosthetic limbs, and millions of drones in the sky. So why is the most effective form of communication still a hand-written note?

Quantum mechanics pushed science into domains where reality isn't limited to familiar dimensions. In that world, two states can both be completely real yet share zero overlap. Physicists call this orthogonality. It's not a metaphor, but a more formal condition of what I call "cognitive geometry." And I've come to believe this may be an accurate way to understand the relationship between human cognition and artificial intelligence.

The US insurance industry faces a compounding crisis: the Bureau of Labor Statistics projects nearly 400,000 workers will leave through attrition by 2026, while claim volumes continue rising and operational complexity deepens. This staffing shortage hits third-party administrators particularly hard, as TPAs depend entirely on adjuster capacity to process claims, coordinate repairs, and manage the full lifecycle from intake to resolution.

"I think about it as humanist superintelligence to clearly indicate this isn't about some directionless technological goal," Suleyman wrote. "We are doing this to solve real concrete problems and do it in such a way that it remains grounded and controllable."

Among the headline announcements this year: ChatGPT parent company Open AI, Softbank and Oracle pledged to invest $500 billion (433 billion) in AI supercomputers, Open AI and chip giant Nvidia announced a $100 billion fund to maintain the United States' dominance in advanced chips, while Chinese tech giants Alibaba and Tencent hiked investments to help speed up China's ambition to lead AI by 2030.

Google Cloud has updated its Vertex AI Agent Builder with new observability dashboards, faster build-and-deploy tools, and stronger governance controls, aiming to make it easier for developers to move AI agents from prototype to production at scale. The update adds an observability dashboard within the Agent Engine runtime to track token usage, latency, and error rates, along with a new evaluation layer that can simulate user interactions to test agent reliability.

If you told the average person in 1995 that within 25 years, we'd consume news from strangers on social media over newspapers, watch shows on-demand in place of cable TV, find romantic partners through apps more than through friends, and flip "don't trust strangers on the internet" so completely that we'd let internet strangers pick us up in their personal vehicles and sleep in their spare bedrooms, most people would find that hard to believe.

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As automation and artificial intelligence processes accelerate, many brands are convincing themselves that A.I. can replace the strategic and creative work of social media professionals. It's a decision often driven by budget cuts and misconceptions on what social media managers actually do, the skills they have and what truly makes social media marketing effective. A recent survey revealed that 39 percent of CMOs and brand marketing executives plan to reduce labor costs as they adopt A.I. and other automation tools.

AI search provider Perplexity's research wing has developed a new set of software optimizations that allows for trillion parameter or large models to run efficiently across older, cheaper hardware using a variety of existing network technologies, including Amazon's proprietary Elastic Fabric Adapter. These innovations, detailed in a paper published this week and released on GitHub for further scrutiny, present a novel approach to addressing one of the biggest challenges in serving large-scale mixture of experts models (MoE) at scale: memory and network latency.

The Model Context Protocol (MCP) is an open standard from Anthropic, designed to facilitate seamless integration between AI models and external systems. By using standardized interfaces, MCP enables AI coding assistants to interact with various tools, such as version control systems, CI/CD pipelines, and even web browsers, without requiring native support for each integration. MCP ensures extensibility and interoperability, making it a flexible solution for developers who need AI-powered coding assistance beyond predefined environments.

What's been a hard 12 months for professionals just got tougher. Fears over the increased use of AI to complete white-collar roles have been compounded by news of layoffs. If you're a mid-level professional, it's tough not to feel anxious about the future of work. In a memo to staff last week, Beth Galetti, senior vice president of people experience and technology at Amazon, said her company's decision to cut 14,000 corporate roles was aimed at "reducing bureaucracy, removing layers, and shifting resources."

On Thursday, the Laude Institute announced its first batch of Slingshots grants, aimed at "advancing the science and practice of artificial intelligence." Designed as an accelerator for researchers, the Slingshots program is meant to provide resources that would be unavailable in most academic settings, whether it's funding, compute power, or product and engineering support. In exchange, the recipients pledge to produce some final work product, whether it's a startup, an open-source codebase, or another type of artifact.