Google Opens the Gates to NotebookLM: Research Tool Now Sources Its Own Data
Google's NotebookLM evolves from a closed-circuit research tool to an active discovery engine, integrating Google Search and Gemini 3.5 to build source repositories.
Tag: LLMs
Anthropic Warns of Loss of Control, Calls for Global Pause on Frontier AI Development
Anthropic executives argue that AI capabilities are outstripping human control and societal safeguards, proposing a global industry-wide slowdown.
GitHub Copilot’s Pivot to Metered Billing Sparks Developer Exodus
Developers are reporting rapid credit depletion under GitHub Copilot's new usage-based billing model, leading to a surge in migrations toward OpenRouter and direct LLM providers.
The Efficiency War: Perplexity CEO Aravind Srinivas Says ‘Token Value Per Watt’ Is the Real AI Win Condition
Perplexity CEO Aravind Srinivas argues that the winner of the AI race won't be the company with the biggest model, but the one maximizing token value per watt…
The ‘Fidgeting’ Tell: Why AI Still Struggles to Mimic Genuine Literary Prose
An analysis of the 'hollow' nature of AI-generated fiction, exploring the linguistic markers and behavioral patterns that distinguish LLMs from human authors.
GitHub Copilot’s Shift to Metered Billing Sparks Developer Exodus
Developers are sounding the alarm over GitHub Copilot's new usage-based billing, reporting massive credit drains from single requests and pivoting to alternatives like OpenRouter.
The Vatican’s AI Warning and the Rise of ‘Theological’ Training Data
Pope Leo XIV's new encyclical on AI human dignity clashes with academic pushes for religious-centric LLM training, signaling a new cultural front in AI ethics.
The New Digital Schism: How the Vatican and Religious Fundamentalists Are Clashing Over AI
From Pope Leo XIV's warnings on human dignity to efforts by fundamentalist groups to force religious data into LLMs, the intersection of AI and faith is becoming a…
Netflix Engineer Open-Sources ‘Project Headroom’ to Combat Bloated AI Token Costs
Tejas Chopra, a senior engineer at Netflix, has released Project Headroom, an open-source proxy designed to compress redundant AI tokens and reduce LLM API bills.
The Token Tax: How a Netflix Engineer is Fighting AI’s Spiraling Inference Costs
Tejas Chopra's Project Headroom aims to slash LLM costs by pruning redundant data and optimizing context windows, saving users hundreds of thousands in API fees.