Growth, marketing data, and campaigns broken down: what the most creative brands do, what works, and what's missing.
In two distinct approaches, researchers from MIT, Yale, and Columbia on one side, and a Princeton computer science professor on the other, argue for designing incentives, rather than just interpreting the model's 'brain', to stop AI agents from hiding flaws in safety tests.
A survey by MIT Technology Review Insights with Snowflake shows that only 48% of insights from analytics agents turn into action that improves results; the bottleneck isn't the model, it's the business context the agent lacks.
A report sponsored by HPE in MIT Technology Review proposes replacing token consumption with cost per merged pull request as the ROI metric for code agents. The idea is good, but it has a blind spot every engineering team needs to face before adopting it.
Lumi is the language model released by the Centro de Excelência em Inteligência Artificial at Universidade Federal de Goiás.
GPT-6 Astra scores 73% on complex computer tasks, and Meta and OpenAI launch agents with access to email and bank accounts, while Anthropic releases a research preview of its agent, Claude Duet. For those who build web products, the question is no longer whether it's worth it, but how to grant access securely.
Google Search Central documentation shows that AI Overviews and AI Mode come in together with Web traffic in Search Console, with no filter of their own. See the honest method for measuring GEO impact without relying on third-party estimates.
Google Search Central's documentation on favicons was updated in September 2026 and reinforces rules that many redirect chains and misconfigured CDNs break without anyone noticing.
Recruiters already ask, in interviews, how candidates use artificial intelligence at work. The problem isn't that the question exists: it's that it usually stops at the right word, not at real competence.
Research from McKinsey and Bain shows that leaders overestimate their own decision-making table. For tech founders, mistaking silence for alignment leads to wrong and costly technical decisions.
Y Combinator documentation shows how the post-money SAFE, the standard since 2018, promises cap-by-cap transparency, but that clarity vanishes in practice when founders stack several bridge rounds without recalculating the total sold.
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