Reporting and perspectives from IEEE Spectrum · AI. Headlines and excerpts link to the original articles.
China's Cyberspace Administration issued rules effective 15 July governing "anthropomorphic AI interactive services" that provide continuous emotional interaction. Alibaba, Bytedance, and Tencent cut users' ability to tailor general-purpose chatbots into companions before the rules took effect, prompting an outpouring of grief on Chinese social media.
Engineering teams are rethinking code review as AI-generated code floods their pipelines, according to a Sonar survey of over 1,100 developers who estimated AI contributed 42 percent of code added to shared codebases while 96 percent did not fully trust its output.
Google DeepMind announced the AlphaGenome Atlas on 8 September, an online repository of precomputed AlphaGenome predictions covering all 9 billion possible single-letter changes to a reference human genome. It is freely available for noncommercial research, with potential commercial licensing.
An IEEE Spectrum essay by systems engineer Richard Mitchell argues that letting AI absorb entry-level engineering work erodes the apprenticeship pipeline that builds senior expertise, citing aviation and nuclear control-room precedents. He proposes deliberate "manual gates" that keep humans practicing skills they will need when automation fails.
Companies including Far Labs and Evolving Edge are launching platforms that let owners of home servers, gaming PCs, and laptops rent out spare compute for AI inference. Far Labs plans to launch Far AI in coming weeks; Evolving Edge is in open beta, joining Bless Network, Salad, and Gradient.
Goodfire, a San Francisco AI lab founded in 2024, has made its Silico mechanistic interpretability platform generally available to the public and announced a grant program offering US $1 million in free Silico usage for academic and nonprofit interpretability researchers.
A sponsored article from Ollobot published by IEEE Spectrum describes the OlloNi SS1, an AI family companion robot, and outlines the company's "gentle intelligence" approach to companion robotics. It cites loneliness statistics and market projections while detailing the robot's sensors, mobility, on-device processing, and recording features.
Researchers at TU Delft developed a system that uses an LLM to translate natural-language passenger requests, such as "I am running late, go fast," into adjustments of a self-driving car's motion-planning parameters. Tested in the nuPlan simulator, it changed speed and smoothness in line with prompts while keeping the human in the loop for confirmation.
IEEE Spectrum reports on how AI is reshaping engineering work and what adaptability means in practice, drawing on interviews with Arizona State University's Samantha Brunhaver, Microsoft's Jenna Butler, and The Pragmatic Programmer coauthor Andy Hunt.
IEEE Senior Member Balaji Ingole is a project manager at B2B e-commerce company Amla in Milwaukee, where he develops AI tools, including chatbots that help manufacturers set up and manage large product catalogs. He also conducts independent research in AI-enabled health care applications.
IEEE Spectrum is promoting a free webinar on using agentic AI for semiconductor root cause analysis, featuring a live demonstration with Spotfire Industry Pro. The session covers cross-domain analytics, automated visualization, and scaling high-performance analytics across large fab datasets.
AMD says it surpassed its AI productivity goal, reaching a 30 percent overall boost, and reports that AI agents now resolve more than 75 percent of issues in its Radeon Software eXperience component, up from 6 percent in October 2025.
A team at Axiom Math says its AxiomProver system automatically verified the proof of the "246 theorem" about prime numbers, a first for the company's AI system. The work formalizes the Polymath8b result that there are infinitely many primes differing by 246.
Rising agentic AI workloads are driving a surge in demand for CPUs, according to IEEE Spectrum, with AWS reportedly ordering engineers to conserve CPU cycles and analysts citing tool calls, tokenization and safety guardrails as CPU-bound tasks.
A 2026 survey of more than 700 professionals reports how teams build visual and physical AI, finding that 78% see measurable value while 74% consider the field underinvested. Teams that ship successfully invest nearly three times more time in data work, and data problems cause most model failures.
A large-scale trial in Pakistan found that a custom AI tool for judges, combined with training, increased cases resolved by 6.3 percent with no obvious drop in judgment quality. The tool, JudgeGPT, combined OpenAI's GPT-4 with a knowledge base of Pakistani judicial opinions and statutes.