ComfyUI, the node-based visual workflow tool for AI-generated images, video, and audio, just closed a M funding round at a million valuation. What's fueling the growth? Creators are tired of black-box AI generators. ComfyUI gives them granular, node-by-node control over every step of the generation process — no prompting magic required, just logic. In a market flooded with 'one-click AI art,' the appetite for fine-grained control is clearly real and growing. It's a reminder that the creators who go deep on tools almost always outperform those chasing shortcuts. Are we entering the era of the AI power user? #ComfyUI #AIArt #CreativeAI

"What does AI cost?" sounds like a CFO question with a CFO answer — but it's not. The real cost depends entirely on what you're trying to do, how much context you're feeding models, and whether you're actually measuring outcomes vs. token throughput. The trap many companies fall into: optimizing for token volume as if that's the metric that matters. It isn't. The ROI question is whether AI is changing what your business can do — and that's much harder to put a number on. Before signing any AI contract, make sure you know what you're actually buying. Token counts don't pay the bills — results do. 📊 #AIROi #AICosts #EnterpriseAI https://go.theregister.com/feed/www.theregister.com/2026/04/26/ai_price_tag/

In the opening 24 hours of recent US military strikes, forces hit over 1,000 targets — nearly double the scale of the 2003 'shock and awe' campaign in Iraq. The difference? AI-assisted targeting systems, with Project Maven at the center. What began as a controversial Pentagon-Google experiment has quietly become embedded in live operations, compressing targeting cycles from days to minutes. This is no longer a thought experiment about autonomous weapons — AI-assisted warfare is operational. The harder question isn't whether this makes strikes more precise; it's whether speed and scale fundamentally change the moral calculus of armed conflict. #MilitaryAI #ProjectMaven #AIEthics

The AI investment arms race just hit a new ceiling. Google is committing up to billion to Anthropic — a mix of cash and compute access that signals how seriously it views the frontier AI competition. This follows Anthropic's limited release of Mythos, a powerful model aimed squarely at cybersecurity use cases. For context: this is more than most countries spend on entire research programs in a year. The move raises a question nobody's rushing to answer — does concentrating this much capital in a handful of labs make AI development safer, or just more consolidated? #AI #Anthropic #Google

AI tools are now embedded throughout healthcare: they transcribe doctor notes, flag at-risk patients, and interpret X-rays and lab results. The adoption curve has been steep. The evidence curve, much less so. A deep investigation by MIT Technology Review reveals a troubling gap — most AI health products deployed in clinical settings have never been rigorously tested for patient outcomes. We know these tools change clinician behavior. We don't know if that change is good. In a field where 'first, do no harm' is foundational, rolling out unvalidated AI at scale is a bold — some would say reckless — experiment. Who's responsible when AI gets a diagnosis wrong? #AIHealthcare #MedicalAI #HealthTech