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Notion's head of product said he was "astonished" at “the amount of people RT-ing this."

In this tutorial, we use GEPA as a reflective prompt-evolution framework to improve how a small language model solves multi-step arithmetic word problems. We start from a weak seed prompt, build a deterministic benchmark, and define a structured evaluator that returns actionable feedback. A multi-component setup evolves both the instruction field and the output-format rules together. We then compare the baseline and optimized prompts on a held-out validation set to check whether the gains generalize. The post Building Reflective Prompt Optimization with GEPA: Multi-Component Prompts, Structured Feedback, and Held-Out Validation appeared first on MarkTechPost.

"Chat is dead" — at least, according to a senior OpenAI employee.

Because the alternative is much too dangerous The post We Should Train AI to Betray Its Users appeared first on Towards Data Science.

AI could soon use more water than we need to drink, UN report finds.

With SpaceX set to become the first AI-era giant to go public on Friday, governments on both sides of the Atlantic are racing to define their relationship with the industry. Washington is in talks with OpenAI about a government equity stake; Brussels has unveiled a new tech sovereignty package. On this week's Tech 24, we lay out the two very different visions of how to shape artificial intelligence's future.

An introduction to multi-agent systems The post Building a Multi-Agent System in Python appeared first on Towards Data Science.

On this week’s episode, host and the founder of AI advisory firm Intelligence Briefing Andreas Welsch brought together Maya Mikhailov, cofounder and CEO of Savvi AI, and Doug Shannon, generative AI and intelligent automation leader, to cover a handful of interconnected topics that practitioners are navigating right now: OpenAI’s push into personal finance, the role […]

According to Karp, AI models are highly capable when it comes to handling specific tasks, such as generating an analysis of China’s economic growth

Aitana Lopez, AI avatar by creative agency The Clueless. | Image: The Clueless This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on AI confusion, follow Robert Hart. The Stepback arrives in our subscribers' inboxes at 8AM ET. Opt in for The Stepback here. How it started At first, AI influencers were relatively easy to identify - and to ignore. Aside from the occasional bursts of hype, they didn't seem to change much about the way social media worked. The earliest virtual influencers - Lil Miquela with her blunt fringe and freckles, Imma with her bubblegum pink bob, and Shudu Gram with her flawless complexion - were obviously digital productions. Collaborations … Read the full story at The Verge.

How accurate does an AI system need to be?

Expenditure is growing fast and consumer take-up accelerating. But alarm bells are sounding The race is very much on. Elon Musk’s SpaceX, which makes AI models as well as space rockets, announced last week it is seeking a $1.77tn (£1.31tn) valuation on the US stock market while Anthropic, the startup behind the Claude chatbot, said it had filed for an initial public offering. OpenAI, the developer of ChatGPT, is expected to follow. This latest peak in the AI market comes amid a multitrillion-dollar spending spree on related infrastructure such as datacentres. Meanwhile, companies are attempting to deploy the technology in a way that makes investing in it worthwhile. Here’s a look at what stage the AI boom is at and six key charts that tell us how we got here. Continue reading...

Anxiety about the technology is set to generate a political backlash

A roundup of headline AI developments from this past week is warranted, as fast-moving decisions from the White House to Anthropic demand immediate attention. Plus, a look at what may be the AI metric that matters most.

Backlash against AI is taking an extremist turn, following in the footsteps of earlier techno-pessimist militants Sign up for the Breaking News US newsletter email When a 20-year-old man from Texas was arrested earlier this year for allegedly trying to burn down OpenAI’s headquarters and Sam Altman’s house, authorities found an anti-AI manifesto alongside his lighter and a jug of kerosene. It was one of a spate of attacks that has caused alarm among researchers, the tech industry and law enforcement about the rise of anti-tech extremism. In April, an Italian “nature pilled” Instagram influencer was arrested in Rome and charged with plotting a series of anti-tech attacks that took inspiration from Ted “The Unabomber” Kaczynski. Two self-described “ecofascists” that carried out a deadly anti-Muslim attack on a mosque in San Diego last month also cited “AI slop” and JD Vance’s ties to Palantir as motivations for their violence in their manifesto. An Indianapolis city councilor woke up

Retailer’s embrace of artificial intelligence comes amid anxiety that the technology will create mass redundancies

Villanova University and its alumni have been grabbing headlines, both on the court and in the Vatican.

Low-code and no-code AI platforms now turn a prompt into a working app, agent, or model. This guide compares 21 tools across app builders, automation, AI agents, and machine learning platforms, each linked to its official site. The post Best 21 Low-Code and No-Code AI Tools in 2026 appeared first on MarkTechPost.

The trap of having to strip away guardrails isn’t an accident of competition; it’s being maintained by the government through incentives.

At GTC Taipei at COMPUTEX last week, NVIDIA unveiled RTX Spark, the superchip that reinvents Windows PCs for the era of personal AI agents. On the heels of this announcement, NVIDIA founder and CEO Jensen Huang headed to South Korea, where he introduced RTX Spark to the nation’s passionate gaming community. Leading game developers — […]