Latest in AI
Wabi Bets $1.25 Billion on an AI Agent That Builds Your Next App
Wabi has raised $55 million at a $1.25 billion valuation to develop an AI agent that turns group conversations into personalized mini apps, while facing questions about trust, traction and privacy.
Cohere targets CAD$7 billion in funding at a CAD$35.7 billion valuation
Cohere is targeting up to CAD$7 billion in Series E funding at a CAD$35.7 billion valuation, while questions remain over the initial close, final terms and the AI company’s growth prospects.
GPT-6 Makes Reasoning Effort the New Unit of AI Economics
GPT-6 reframes AI economics around reasoning effort, model routing, token costs, prompt caching and adaptive budgets, helping companies balance quality, latency and operational expense.
Flint’s Real Test Is Whether AI Can Shrink the AI Development Race
Recursive’s Flint is a laptop-friendly coding model built with extensive AI assistance. Its benchmark results are promising, but independent reviews question whether speed translates into reliable everyday software development.
GitHub Copilot Fusion Bets That Model Routing Can Cut Coding Costs
GitHub Copilot Fusion routes tasks across Claude and GPT models, promising lower coding-agent costs while raising questions about billing, benchmark limits, workspace changes and human review.
Google’s Gemini 4 Carbon Lead Is Hard to Test and Harder to Buy
Google’s Gemini 4 Carbon leads a major AI benchmark, but restricted access, no public API and limited technical disclosure leave enterprises unable to test its real-world value.
Google turns Gemini and Search into gateways for third-party apps
Google’s Connected Apps Platform lets Gemini and Search call third-party services, complete tasks and access accounts, potentially turning AI assistants into the web’s primary software gateway.
Why Proof-Producing AI Could Become Software Security’s Next Cost Curve
Anthropic’s formal verification work shows how AI-generated, machine-checked proofs could scale software security, while exposing the limits imposed by specifications, deployment assumptions, compiler models and trusted computing bases.
Anthropic gives companies a closer look at the cost of AI work
Anthropic gives companies detailed reports on Claude Enterprise usage, spending, workflow friction and productivity as businesses move from experimentation to operating discipline and accountability.