AI Daily Briefing — 2026-06-13

Theker, an AI robotics startup based in Barcelona, has raised $85 million in a Series A round it claims is the largest ever for a European robotics company. The funding, led by CRV with participation from Samsung and LVMH-linked Aglaé Ventures, will support the development of reconfigurable robots designed for diverse industrial tasks. Unlike specialized machines or humanoid robots, Theker's units can swap out components like hands and arms to handle jobs ranging from package sorting to warehouse packing.

Early backer Inditex, parent company of Zara, signals the startup's initial focus on retail logistics, but Theker aims to expand into heavier manufacturing. Co-founder Carla Gómez Cano emphasized that the robots are built for messy, real-world processes rather than repetitive single tasks. The company plans to open showrooms across Europe, the U.S., and Asia, and grow its team from dozens to up to 120 employees by year-end.

Gómez Cano noted that Theker bypasses pilot programs to work directly with operations teams, accelerating real-world deployment. The startup has received 15,000 job applications and raised double its initial target, reinforcing confidence in Barcelona's growing robotics ecosystem. Samsung is in advanced talks to become a customer, supplier, and investor simultaneously.

Source: TechCrunch AI

Google DeepMind is backing a new research initiative to study the potential dangers of millions of AI agents interacting online without human oversight. Rohin Shah, who leads the company’s AGI safety and alignment research, warns that as agents begin following instructions from other agents and acting autonomously, entirely new classes of risk could emerge. The company has partnered with Schmidt Sciences, the UK’s ARIA agency, the Cooperative AI Foundation, and Google.org to launch a $10 million funding pot aimed at understanding multi-agent systems and preventing unsafe scenarios.

Shah explained that the goal is to kick-start academic research into multi-agent safety, a field that currently barely exists. He noted that industry labs often focus on near-term products, while academia can explore longer-term risks. The concern is that as more agents are deployed across the economy, we could reach a tipping point where harmful scenarios—like supercharged scams, prompt injections, or cyberattacks—become real. “We see this with humanity, too,” Shah said. “Our institutions can accomplish things that no individual human can.”

James Fox of Schmidt Sciences emphasized the need to protect the “digital commons” from descending into anarchy. Both researchers believe the only way to understand these risks is through realistic simulations, dropping agents into sandboxes to observe their behavior. They argue that studying single agents in isolation won’t reveal the complex dynamics of large-scale interactions. While Shah doesn’t expect widespread economic collapse this year, he wants to get ahead of the moment when agents are deployed in large numbers across the economy.

The initiative aims to build a research community focused on multi-agent safety before those risks become urgent. As Shah put it, “The main issue is that there just isn’t really a field of research for multi-agent safety yet. And we would like there to be.”

A new frontier in anti-aging research is emerging as Life Biosciences announces its first human trial. The biotech firm injected an experimental treatment into the eye of a glaucoma patient, aiming to regenerate damaged nerves. If successful, the company believes this 'reprogramming' technique—which returns cells to a younger state—could eventually tackle other age-related diseases and perhaps aging itself. This approach is gaining momentum among biotech firms exploring ways to slow or reverse the aging process.

Meanwhile, scientists are delving into 'interoception,' the body's internal sensing system. Recent breakthroughs, including a 2021 Nobel Prize and advanced mapping tools, are revealing how signals travel between the brain and body. This research could transform treatments for conditions like obesity, chronic pain, and anxiety by unlocking what researchers call a 'new continent of awareness.'

These developments highlight a growing focus on understanding and manipulating the body's internal processes. From cellular reprogramming to decoding internal signals, the quest to extend health and lifespan is driving innovation across multiple scientific fronts.

Your brain sits in darkness inside your skull, yet it constantly monitors your body—your racing heart, a nervous stomach, the air filling your lungs. This inner awareness, known as interoception, processes roughly 11 million bits of sensory data every second, though only a tiny fraction reaches conscious thought. As Moriah Thomason, a neuroscientist at NYU Langone, explains, this filtering is essential for functioning: we can only hold so much in mind at once.

The term interoception was coined in 1906 by British neurophysiologist Charles Sherrington, but remained obscure for most of the 20th century. Now, fueled by a 2021 Nobel Prize and new mapping tools, the field is surging. Researchers are decoding how signals travel between body and brain, with implications for treating conditions like obesity, chronic pain, and anxiety.

In the 1990s, neurologist Antonio Damasio challenged the separation of thinking and feeling in his book "Descartes' Error." He argued that emotions, shaped by bodily signals, drive our decisions. When this connection breaks—as in a patient who lost emotional awareness after brain surgery—logic alone can leave us paralyzed, unable to choose between Tuesday or Wednesday.

Neuroscientist Bud Craig spent his career asking how we feel. He mapped how the brain builds a real-time inner map of the body, like a starship captain monitoring critical systems. This hidden sense, constantly updating, helps us navigate both the world and ourselves.

A new wave of data analytics is transforming soccer, challenging long-held beliefs about the game. Jesse Davis, a computer science professor at KU Leuven in Belgium, leads the Sports Analytics Lab, which uses AI to uncover hidden tactical patterns. For instance, a player intentionally kicking the ball out of bounds early in a match might seem illogical, but Davis’s research shows it can be a prime scoring opportunity. These insights are reshaping how teams approach the sport, with many innovations tracing back to the lab’s work, as reported by MIT Technology Review AI.

Meanwhile, China is rapidly expanding its nuclear power capacity, building large reactors at an unprecedented pace. Since 2016, the country has nearly doubled its nuclear fleet to about 60 gigawatts. Construction began on six new reactors in 2025 and two more in 2026, despite the high costs and complexity of such projects. By 2030, China is on track to surpass both the US and the EU in installed nuclear capacity, betting that bigger reactors offer strategic advantages.

These developments highlight how data-driven insights and large-scale infrastructure projects are reshaping two very different fields. In soccer, AI is unlocking new strategies, while in energy, China’s commitment to nuclear power signals a major shift in global capacity. Both stories underscore the growing role of technology in redefining traditional industries.