Top AI developers must now find ways to maximize value for current and potential customers, without undercutting themselves to the point where they’d struggle to recoup the hundreds of billions of dollars they’ve invested in chips and data centers. AI Giants Shift Battle From Raw Power to Price as Enterprise Bills Pile Up OpenAI, Meta, […]
OpenAI, Meta, SpaceXAI compete for more cost-efficient AI models Read More »
Prior to the US government banning (and then reinstating) it, Fable 5 was the newest and most intelligent AI model ever, crushing all benchmarks. Before Fable 5, it was Opus 4.8 in May, then GPT-5.5 in April, and then Opus 4.7 just a few days earlier in April. By the time you read this, a new top model
Stop Chasing the Latest AI Models: They’re Rarely Worth Your Time or Money Read More »
Claude Fable 5 has been re-deployed and is now available globally for all users. We’re taking this opportunity to share further information in two areas. First, we provide more information on the cybersecurity safeguards—specifically, the safety classifiers—that we launched with the model. These are the AI systems that accompany the model that detect and block dangerous (or potentially dangerous)
More details on Fable 5’s cyber safeguards and our jailbreak framework Read More »
The release date for Google’s next frontier AI model has been pushed to July, Business Insider has learned. The company previously said it planned to roll out the new Gemini 3.5 Pro model in June. However, it is now targeting a July launch as it spends extra time gathering feedback from early testers and tweaking
Google delays Gemini 3.5 Pro launch to July as it tweaks its new frontier AI model Read More »
Agentic systems have left the experimental phase, and the numbers say so before any narrative does. Hermes Agent crossed 140,000 GitHub stars in under ninety days, which puts it among the fastest-growing developer projects anyone has tracked in recent memory. OpenRouter usage data already ranks it as the most used framework in its category, and the demand
Hermes Agentic AI Overtakes OpenClaw, 10 Shifts Leaders Need To Know Read More »
Introduction AI projects are most useful when they solve real workflow problems, not just when they demonstrate a new model or tool. The projects in this article focus on practical automation, including job searching, research, invoice processing, market analysis, chart digitization, and personalized assistants. Instead of manually searching, reading, comparing, copying, and summarizing information, these
7 Real World AI Projects to Build in 2026 (with Guides) Read More »
ROCHESTER HILLS, Mich., May 27, 2026 /PRNewswire/ — FANUC America, the leading supplier of CNCs, robotics and automation, will showcase advanced robotics, collaborative automation and AI‑enabled manufacturing technologies, including generative AI, 3D vision capabilities and real-time adaptive robot motion, at Automate 2026 at McCormick Place in Chicago from June 22–26. Inside FANUC’s Booth 1401, there will be
FANUC America Showcases Physical AI and AI‑Enabled Robotics Demos at Automate 2026 Read More »
Scale your operations efficiently. Compare the top visual development tools engineered to automate complex enterprise workflows, orchestrate intelligent data flows, and build customized AI apps with minimal coding. Low-code AI platforms help businesses automate tasks without needing complex coding skills. AI automation tools save time, reduce manual work, and improve daily business operations. Businesses use
Best Low-Code AI Automation Platforms for Businesses in 2026 Read More »
Google usually saves its biggest product launches for its I/O conference every year. This time, CEO Sundar Pichai held back, and it says a lot about where the company stands in the AI coding race. During the keynote address, Pichai told the crowd that Google’s new flagship Gemini 3.5 Pro AI model wasn’t ready yet, drawing groans from the
Why Google held back a huge new AI model at its big conference Read More »
Redis built its name as the caching layer that kept web applications from collapsing under load. The problem it is targeting now has the same structure but is harder to solve: production AI agents failing not because the models are wrong, but because the data underneath them is scattered, stale and structured for humans rather
