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First seen 30 May 2025
Businesses are earning trust in AI by accident. It should be earned on purpose. People become more accepting of AI the more they use it, but acceptance that’s built on mere exposure is passive. Businesses may benefit, but they’ve often done nothing to earn it. Our latest research shows people’s sentiment toward AI is higher than it was last year, and they believe the technology’s become more capable. Trust is also rising, but it’s more conditional. Download the 2026 AI Sentiment Report → For most people, how much they’re willing to trust AI depends on what they’re asking it to do. For queries that are nuanced or emotionally charged, full trust still needs to be earned. But we also found that trust isn’t fixed. Businesses can design customer experiences that earn user trust. In The 2026 AI Sentiment Report, we explore how. Here’s a look at our findings. Sentiment is warming, but trust is still conditional End users are feeling more positive than last year about interacting with an AI Agent for customer service. Forty-nine percent of people described having positive overall experiences with AI – up nine p
UX Collectiveuxdesign.cc · 7 September 2026 · not counted as a party
What a 1960 study of city maps explains about AI context. Continue reading on UX Collective »
GitHubgithub.blog · 27 August 2026 · not counted as a party
OpenClaw is the fastest-growing project in GitHub history. Peter Steinberger and several maintainers share what they learned in the project’s first six months. August 27, 2026 | 6 minutes Share: What began as a personal experiment quickly became a global open source project with extraordinary momentum. OpenClaw is a personal AI assistant that runs on users’ devices and connects with the messaging channels they already use. Started by Peter Steinberger as a weekend project in November 2025, its GitHub repository has grown to approximately 388,000 stars, 81,000 forks, and more than 80,000 commits by August 26, 2026. In this video interview, filmed just six months into the project, creator Peter Steinberger and several OpenClaw maintainers discuss managing a surge of pull requests, rethinking contributor trust and code review, addressing software supply chain risks, and balancing powerful agent capabilities with security. They also share security lessons from the GitHub Secure Open Source Fund and the value of connecting with mainta
LangChain bloglangchain.com · 26 August 2026 · 5 posts
Macro research desks need to know, on a regular basis, which countries in a given set are performing anomalously and why. The underlying data exists but it is fragmented. A single GDP figure might require reconciling a Eurostat release against a national statistics office publication that arrived on a different schedule and uses a different methodology. Getting from raw data to a usable, sourced briefing can be as time consuming as the analysis itself. To show this in practice, we built an agent and ran it against 2025 GDP data for all 27 EU member states.Ireland came back as the single largest outlier, with 12.3% GDP growth that looked like a boom. Per-country investigation identified it as a pharma-led export surge front-loaded ahead of US tariffs, with the industrial sector alone contributing +6.55pp to the print. Modified GNI showed a far more modest number. Germany was flagged for the opposite reason: structural contraction driven by automotive exposure and construction collapse, not a cyclical dip. The agent produced that distinction, sourced and cited, in 45 minutes costing $2.20 in API calls.The findings are only half
Baymard Institutefeeds.baymard.com · 25 August 2026 · not counted as a party
Key Takeaways Baymard has new qualitative UX research on Insurance UX The research uncovered UX issues and identified UX solutions specific to Insurance users and sites At a high level, Insurance users struggle with unfamiliar concepts, friction-filled quote flows, and brand trust Key Stats 4,700+ hours usability testing, analyzing, and researching the UX of Insurance sites 220 qualitative participant/site usability test sessions following the “Think Aloud” protocol 1,700+ medium-to-severe usability issues in testing Today at Baymard, we’re announcing the launch of our new Insurance UX research. 8 US and 12 UK Insurance sites were tested, including providers (some of whom are also banks) and aggregators (where test participants could compare Insurance quotes across many providers). The 9 UK Insurance sites tested were Halifax, Aviva, Direct Line, LV/Liverpool Victoria, TSB, Insure and Go, Allianz, Avanti, and Santander, while the 3 aggregators were Compare the Market, MoneySuperMarket, and Go Compare. The 8 US Insurance sites tested were Liberty Mutual, Travelers, Progressive, GEICO, Amica Mutual, Lemonade, Root Insuranc
Ness Labs (Anne-Laure Le Cunff)nesslabs.com · 20 August 2026
FEATURED TOOLWelcome to this edition of our Tools for Thought series, where we interview founders on a mission to help us think better and work smarter. Jim Lau is the founder of Flowing, a desktop writing application for researchers and students who want AI assistance without losing touch with their sources. It allows you to import your reference PDFs into a local library and use AI features that attach verifiable library snippets to every suggestion. In this interview, we talked about how writing is a form of thinking and not just text production, how to use AI to strengthen human judgement, the importance of context and the challenge of resurfacing what we already know, how trust is based on traceability, and much more. Enjoy the read! Hi Jim, thank you for joining us. You’re building Flowing around the idea that AI-assisted writing should stay grounded in the researcher’s own sources. Why do you think that matters? Thank you for having me. I think the reason this matters comes down to a fundamental difference between writing and simply generating text. Academic writing is not only about producing sent