ROBOMARKET
Stay Informed
Daily coverage from 2736 trusted sources — robotics, AI agents, and industry analysis for the GCC.
Last Updated: 12:03 PM (1h ago)
Auto-refresh every 2 hours
Anthropic’s new Claude Tag update lets its Slack agent read the full conversation — and jump in unprompted
Anthropic is making a calculated bet that the biggest bottleneck in enterprise AI isn t model intelligence — it s the fact that most people still use AI alone.In an exclusive interview with VentureBeat, Scott White, Anthropic s head of product for enterprise, laid out the company s thesis for what it calls multiplayer AI : a shift away from the single-user chatbot paradigm toward AI agents that operate across teams, read organizational context, and proactively insert themselves into work — sometimes without being asked.The strategy crystallized earlier this month when Anthropic updated Claude Tag, its agent that lives inside Slack channels, to read context across entire conversations rather than evaluating messages one at a time. According to the company, the change makes Claude roughly 30% better at deciding when — and, critically, when not — to jump into a conversation unprompted.That may sound like an incremental product update. White argues it represents something more fundamental:
How to Use Kimi K3: Moonshot AI’s 2.8T Open-Weight Model
Moonshot AI’s Kimi K3 is a 2.8-trillion-parameter open-weight model built with a Mixture-of-Experts architecture. It activates only a small fraction of its parameters per token, helping reduce inference costs while delivering strong coding and agentic performance. K3 combines near-frontier capabilities, open weights, and lower API pricing, making it an interesting alternative to proprietary models. In [ ] The post How to Use Kimi K3: Moonshot AI’s 2.8T Open-Weight Model appeared first on Analytics Vidhya.
AI Agents Don’t Need More Context — They Need Typed Context
AI agents don’t just have a context problem—they have a context typing problem. When instructions, memory, retrieved evidence, and tool outputs are flattened into one string, their semantic boundaries can disappear. I built a lightweight, zero-dependency Python runtime that keeps those boundaries explicit, tracks provenance, and rejects invalid context transformations before they reach the model. This article walks through the implementation, tests, and what this approach does—and does not—guarantee. The post AI Agents Don’t Need More Context — They Need Typed Context appeared first on Towards Data Science.
Dynamic Model Routing with an LLM Gateway
How CEL Routing Rules Decide Where Every AI Request GoesContinue reading on Data Science Collective »
-
Most enterprise AI agents are a brain wired directly to a set of API keys.Continue reading on Medium »
De-Googled GrapheneOS is coming to Motorola’s foldables next year
The Razr Ultra line is among those due to receive GrapheneOS support next year. | Photo: Allison Johnson / The Verge GrapheneOS, an open source version of Android that prioritizes security and privacy, has detailed its plans for supporting Motorola smartphones. Official support is set to arrive next year, starting with traditional flagships, before rolling out to Motorola's foldable phones and perhaps cheaper models, eventually. In a Mastodon thread, the GrapheneOS Foundation announced that it will initially support a Motorola slab flagship phone, but will later support both Razr Fold and Razr Ultra foldables - the latter of which would be the first flip phone to officially run GrapheneOS. Graphene has always had stringent security standards when it com … Read the full story at The Verge.
IBM’s next-gen mainframe chip is the first to run Arm and Z workloads on the same cores
IBM is announcing today at the annual Hot Chips conference what may be the most consequential change to mainframe architecture in decades: a processor whose cores can natively execute both IBM s own instruction set and Arm s — switching between the two in nanoseconds.The chip, which will power the next generation of IBM Z and LinuxONE systems, is the first dual-architecture mainframe processor ever built. It is designed to let enterprises run the vast and fast-growing ecosystem of Arm-native Linux software — including the AI frameworks that increasingly define modern infrastructure — directly alongside the z/OS transaction-processing workloads that anchor the world s banks, insurers, and governments. As technology enthusiasts on both sides, we re really excited about being what I would consider one of the most powerful commercially available processors that ll be dual architecture, Tina Tarquinio, chief product officer for IBM Z and LinuxONE, told VentureBeat in an exclusive interview
These tiny drones are powered by sound
The MICROBS Lab s microfliers. 2026 EPFL/MICROBS CC-BY-SA 4.0. By Celia Luterbacher When you blow air across the neck of a bottle, you’re not just producing a pleasant tone: you’re also demonstrating a phenomenon called Helmholtz resonance. This occurs when airflow passing across an opening causes air trapped inside a cavity (like a glass bottle) [ ]
Stop Building Multi-Agent Systems Too Early: When One AI Agent Is Actually the Better Architecture
Five specialized agents debating inside an orchestration graph looks advanced. Sometimes it is. Sometimes you took one solvable workflow Continue reading on Medium »
Your AI Agent Doesn’t Need a Bigger Prompt. It Needs Better Memory.
A long context window can help an agent see more information at once. It does not solve the harder problem: deciding what deserves to Continue reading on Medium »
We never use AI. For anything
Comments
Humanoid robots smash Usain Bolt’s 100-meter record
Tiangong Ultra (left) also broke the 400 meter world record during this year’s World Humanoid Robot Games. | Image: Lintao Zhang/Getty Images The 9.58-second 100-meter dash record set by Usain Bolt in 2009 has been outpaced by Chinese robots participating at the World Humanoid Robot Games in Beijing. In a preliminary heat on Saturday, Tiangong Ultra, made by the Beijing Humanoid Robot Innovation Center, ran the distance in 9.39 seconds, followed by the Honor-developed Lightning at 9.47 seconds. It's one of several notable achievements to take place at the event, which can best be described as a sort of annual robot olympics that's designed to showcase advancements in bipedal bot technology. After launching in 2025, 2,056 robots from 16 countries are participating in this year's … Read the full story at The Verge.