Latest in AI
The Agent Loop Is Now the Real AI Speed Limit
AI agents are hitting a new speed limit: repeated context, tool waits, and orchestration overhead. Here’s how prompt caching, stable histories, parallel tools, and better instrumentation can cut latency and cost.
Grok-3 Launch Signals xAI’s Ambition to Embed AI in Social Infrastructure
Grok-3 leverages real-time X data to deliver contextual AI, embedding ambient intelligence directly into social infrastructure and redefining competitive dynamics in generative AI.
Grok-3: xAI’s Real-Time Edge in the AI Platform War
Grok-3 leverages X's real-time data to redefine AI competition, prioritizing live context over web-scale training and challenging rivals like OpenAI and Google.
AI Coding’s Next Battle Is Turning Generated Code Into Shippable Software
Blacksmith’s $45 million funding round highlights a growing AI software bottleneck: validating, repairing and governing code generated by coding agents before it reaches production safely.
Lovable’s $400 Million Bet Puts Vibe Coding’s Business Model to the Test
Lovable’s $400 million Series C and $13.3 billion valuation test whether vibe coding can evolve from an AI interface into a durable, profitable software platform.
Thrive’s $2 Billion Bet on AI-Powered Service Businesses
Thrive Holdings raises $2 billion at a $12 billion valuation to acquire accounting, IT, and regulatory service businesses, using AI deployment and ownership to pursue enterprise productivity gains.
Google’s Gemini Strategy Moves From Chatbot to the Default Device Interface
Google’s Pixel 11 strategy aims to make Gemini the default interface across phones, cameras, earbuds and trackers, while accessibility, privacy, reliability and cost determine whether embedded AI earns daily trust.
The Coding Agent Score Is Also a Test of the Machine Around It
Agentic coding benchmarks measure more than model intelligence. This explainer shows how harness design, infrastructure, timeouts, and resource limits can reshape scores, and how buyers should evaluate competing coding agents.
The 80 GB Illusion: What gpt-oss Reveals About MoE Memory
OpenAI’s gpt-oss-120b shows why active parameters do not equal memory needs, explaining MoE routing, quantisation, bandwidth, and KV-cache growth for anyone planning local AI inference on an 80 GB GPU.