
Slash LLM Latency and Costs: Optimize Inference by Eliminating Waste
Scaling large language models in production hinges on reducing wasted computation, not just throwing more hardware at the problem.
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Anthropic is adjusting Claude Code's usage limits, a move that looks like an increase but effectively reduces access for many users.

New method tracks agent state, not conversation history, for massive cost and efficiency gains.
New research frames AI agents around specific domains, aiming for enhanced reliability and reduced emergent behaviors.

Scaling large language models in production hinges on reducing wasted computation, not just throwing more hardware at the problem.

AI agents shift focus from renting workflows to delivering outcomes, fundamentally altering the SaaS model.

Semiconductor Engineering's latest research roundup covers novel memristor designs, biodegradable circuit boards, and advancements in organic semiconductor doping.

New tool Sourclip aims to streamline the research process by connecting Google's NotebookLM with other essential research tools.

A community-driven effort seeks to expand NotebookLM's capabilities beyond curated documents by connecting it to live web data.

The drive for on-device intelligence requires specialized hardware, pushing semiconductor designers to innovate beyond general-purpose chips.

Cursor launches 'Sand' agent, but GhostApproval vulnerability and GPT-5.6 pricing spark widespread concern.

A new paper models the economic implications of AI systems that can improve themselves, exploring growth, labor, and societal shifts.

A developer's guide to dissecting claims about enhanced cognitive abilities, cutting through marketing hype.

As AI automates more tasks, the nature of human work shifts, demanding new skills and redefined roles.