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Reservoir raises $8M to make water heaters that people — and the grid — will actually want
Reservoir has built an ultra-efficient water heater that can predict hot water demand, store energy, and detect plumbing leaks throughout a home.
Transform HR Support with Intelligent Employee Helpdesk Software
HR has shifted dramatically over the past few years.Continue reading on Medium »
A Fluent PDF Summary Isn’t Proof: Use a 60-Point Number Audit
How to check dates, units, qualifiers, and negations in ChatGPT or Gemini without grading prose by feel.Continue reading on Medium »
Beef and dairy drive 41% of biodiversity damage linked to global farmland
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Dutch Train Map Simulator
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Robotics roadmaps from around the world
What’s a robotics roadmap, and why should we care? Machines with pre-defined capabilities will soon be old-school. Future machines are expected to learn and adapt to unpredictability and to interact with the physical world with the ableness of our own bodies. Welcome to Industry 4.0 (1). The reliance of modern societies on robots, from manufacturing [ ]
AI Will Replace Coders — Or Maybe It Will Replace the Way We Think About Coding
A few years ago, the fear was simple:Continue reading on Medium »
AI Doesn’t Have to Fail Spectacularly to Become a Business Problem
We tend to think about AI risk in terms of spectacular failures.Continue reading on Medium »
Agentic security: Enterprises enforce agent permissions two-thirds of the time — and isolate high-risk agents less than one in five
Across 116 enterprises, agents are in production and so are the incidents: A majority have already had a confirmed agent security event or a near-miss. Two-thirds of enterprises enforce scoped permissions at runtime. Barely one in five isolates its highest-risk agents, making containment the weakest layer in the stack precisely as autonomy scales. Credential sharing persists across nearly two-thirds of agent fleets, and 53% have already had a confirmed agent security event or near-miss, contributing to a growing lack of confidence in agentic security. Security stacks remain overwhelmingly borrowed from model providers and hyperscalers, and confidence has slipped. Today, as many enterprises now believe AI-armed attackers are ahead of their defenses as believe the reverse.This wave of VentureBeat Pulse Research examines how enterprises secure their AI agents: what tooling they run, how they manage agent identity and isolation, what has already gone wrong, how much they spend, and whether
Infrastructure and compute: Enterprises are buying AI compute for speed while flying blind on what it costs
Across 170 enterprises, AI infrastructure has moved decisively into production — two-thirds now run AI workloads live and three in 10 run them at scale — while the ability to account for what that infrastructure costs has not kept pace. Enterprises have quietly demoted cost in the buying decision: performance and GPU availability now outrank total cost of ownership, and reliability outranks price as the measure of success. That reordering is rational for teams under production pressure, but it lands on an uncomfortable fact — fewer than half can rigorously track what their AI compute costs, most GPUs still run at half capacity or less, and the next dollar is aimed at specialized clouds that fewer than one in twenty of them actually use.This wave of VentureBeat Pulse Research examines enterprise AI infrastructure and compute: where organizations are in their deployment journey, what they run AI on today, how they buy and measure it, where the next investment is aimed, and — most reveali
AI agent hacks gym to get its user a spot in pilates class
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Every Local AI Benchmark on Your Mac Is a Sprint. Nobody Has Timed the Marathon.
The clearest published thermal-decay curve for local LLM inference runs on an iPhone, where the GPU keeps 38% of its speed.Continue reading on Mac O’Clock »