Over the past several years, model capabilities and training dataset sizes have experienced exponential growth. During the past year or so, the time between new-frontier-model releases has gone down from months to weeks. Reliable and fast access to storage is important to both the speed and computational cost of this AI innovation. If AI is [...] Read More... The post Meta’s AI Storage Blueprint at Scale appeared first on Engineering at Meta.
This year marks Meta’s 10th consecutive year as a sponsor of the Python Software Foundation (PSF), the charitable organization dedicated to advancing, supporting, and protecting the open-source Python programming language and the community that sustains it. Python is one of the world’s most influential programming languages, and we use it across our engineering stack, from [...] Read More... The post 10 Years of Meta’s Commitment to Python appeared first on Engineering at Meta.
Privacy controls — systems that enforce retention, access, allowed-purpose, downstream-sharing, or anonymization policies — require a reliable understanding of data to function. Before such a control can operate effectively, it must know exactly what it is looking at. This can be complex, as demonstrated by a field simply named “age“: In one context, it [...] Read More... The post Privacy-Aware Infrastructure in the AI-Native Era: An Asset Classification Case Study appeared first on Engineering at Meta.
Smart glasses like the Ray-Ban Meta and Oakley Meta Vanguards need to pack enough energy to power features like cameras, speakers, AI workloads, and even a display. But it all has to fit into the glasses’ temple arms. So how do you place a battery with enough power to run a pair of smart glasses [...] Read More... The post How Meta Engineered Ultra-Narrow Batteries for AI Glasses appeared first on Engineering at Meta.
Adopting AV1 for real-time communication at Meta has been a multi-year effort spanning codec selection, device eligibility, rate control, and error resilience. We’re sharing the technical and operational challenges while deploying AV1 and expanding coverage, and how we addressed them for real-time communication. We’re presenting several technologies for improving AV1 call quality, including rate control [...] Read More... The post Adopting AV1 for Real-Time Communication (RTC) at Scale appeared first on Engineering at Meta.
—New research papers introduced various models, including CheckRLM for knowledge coherence in retrieval-augmented reasoning and TokenScope for token-level explainability in code tasks.
—The development of SINA, an automated circuit schematic generator, showcases AI's application in electronic design automation.
Research
—Several papers focused on improving LLMs, such as PARTREP for optimizing decoder-only models and SkillCoach for enhancing agentic skill use.
—Studies on multilingual TTS and ECG recognition highlight ongoing efforts to improve AI's performance in diverse applications.
Tools
—GitHub repositories like promptdiff and agent-replay provide new tools for version control of LLM prompts and debugging AI agent execution, respectively.
—The agents-control-tower repository allows monitoring of multiple AI agents from a single terminal, enhancing usability.
Discussion
—A ruling by Japan's top court states that AI cannot be listed as an inventor on patent applications, sparking debate on AI's role in innovation.
—Discussions on LLM code dependencies and the implications of AI in multilingual settings reflect ongoing concerns in the AI community.