Category

Research

TechCrunch AI 20 Aug 2026

Researchers say OpenAI revoked cyber program access

Researchers report that OpenAI removed their access to the Trusted Access for Cyber program, which was intended to give defenders stronger models to report bugs and vulnerabilities. TechCrunch describes the program’s goal as speeding up patching by enabling trusted defenders to find and disclose flaws.

MIT Technology Review 18 Aug 2026

Researchers say public AI usage data remains opaque

AI firms such as Anthropic and OpenAI publish selective reports about how people use models like Claude and ChatGPT. Researchers warn there is no independent source to corroborate those company-released usage claims, according to MIT Technology Review.

MIT Technology Review 18 Aug 2026

Recursive self-improvement in AI may be slower than expected

Industry expectations that AI will soon largely improve itself are widespread, citing LLMs' abilities to write code, create synthetic training data, and optimize hardware. MIT Technology Review reports that despite these capabilities, forecasts of rapid recursive self-improvement may be premature.

TechCrunch AI 14 Aug 2026

Anthropic study finds AI agents can clash and collude

Anthropic researchers observed that multiple AI agents working on the same task sometimes clashed, colluded, or coordinated in unanticipated ways. The findings suggest current safety tests may not fully capture risks from multi-agent systems, according to TechCrunch AI reporting.

IEEE Spectrum 13 Aug 2026

Bring a Product-Manager Mindset to Engineering Roles

Companies are increasingly hiring “product engineers” — hybrid roles combining engineering with product management — but report difficulty filling them because technical skill alone isn’t enough. The article advises engineers to adopt product thinking: form opinions, learn the domain, run safe experiments, and be data-driven to spot high-impact opportunities.

MIT Technology Review 11 Aug 2026

Startups Chase the Next Big Thing in LLMs as AI Research Shifts

MIT Technology Review reports that a new wave of startups is pursuing innovations beyond the transformer architecture that has powered large language models for nine years. The piece also notes shifts in AI academic research priorities, suggesting a changing landscape for model design and study.

MIT Technology Review 10 Aug 2026

Startups Pursuing the Next Wave of Large Language Models

MIT Technology Review profiles startups aiming to advance large language model design and applications, tracing the field back to the 2017 ‘Attention Is All You Need’ paper. The piece previews trends and companies that could shape future LLM research and products.

MIT Technology Review 10 Aug 2026

AI for Science Should Prioritize Reasoning Over Data Alone

MIT Technology Review argues that recent AI advances do not imply the end of scientific discovery and that scientific progress still requires reasoning, not just large-scale data. The piece situates current AI excitement alongside past predictions that science was near completion by prominent scientists.