DeepMind outlined 4 paths to superintelligence: scaling, paradigm shifts, recursive self-improvement, and multi agent collectives. I explained this dense 57-page report in a 31-page comic book, including a section on the UX implications.

Gen Alpha is not mini-Gen-Z | Personas as Packaged Software | Sentient Design is a new book about AI as a design material | My hero: Dr. Thomas K. Landauer of Bell Labs/Bellcore | YouTube’s Thumbnail Generator | Recommended AI short videos | Amazon changes the name of its AI shopping assistant from Rufus to Alexa | Claude Fable 5 released

Reviving the UX goal of empowering users | Writing in marketese kills marketing | Supposed impulse buying is often the result of months of building consideration | Honoring a human factors pioneer, Dr. John D. Gould of IBM | Prompting tip for small text fields: use Chinese

Advanced AI work is not a simple prompt-response loop. Users discover their goals through experimentation, interpret machine output through boundary objects, and refine intent over time. The future of AI-UX is not chat, but structured discovery.

The two most conversion-killing ecommerce usability fails | Social media use remains strong but the platforms are becoming less about connecting with other people | The usability of overseeing AI agents | Team-building image idea: design video game characters | Professor Ben Shneiderman was one of the greatest early pioneers of user experience | Seedance 2 as PC software concept

Forward Deployed Engineers (FDE) can build powerful AI systems, but enterprise transformation requires more than technical deployment. Organizations need Forward Deployed Designers (FDD) who can map business outcomes, redesign decision rights, and convert AI capability into operational change.

Video about scope creep | Demis Hassabis on the present and future of AI | Humans and AI have different interpretations of words to denote probabilities | Very different reasons why people use AI versus the Internet | Google’s disappointing AI announcements

AI is not merely making designers faster at producing screens, prototypes, and research summaries. It is changing the object of design itself. The UX profession’s most valuable contribution stops being UI production and becomes the design of intent itself: defining what good means, encoding judgment into live systems, setting boundaries for agentic behavior, maintaining coherence across many parallel outputs, and preserving human purpose when software starts to act.

Case study of redesigning workflows for AI in computer game studios | Can you live 4 days without AI? | AI increases learning when used as a tutor and hurts when doing the exercises for the students | A streaming media platform for your job | DeepMind demos integration between voice input and pointing

Humans have been dreaming of thinking machines for more than 2,700 years, but real work on building them started in 1943 with the first neural networks. Progress during the following 80 years was slow, with many disappointments and “AI Winters,” but advances built up over time as compute scaled. Themes seen during this long history persist to this day.

New music video based on Moby-Dick | AI expands users’ tasks compared with traditional search, but provides narrower information results | AI dashboard visualizations help therapists spot trends hidden in session notes | How to elicit tacit knowledge to build AI workflows | A16Z awarding fellowships to design engineers

Condensed presentation of Jakob Nielsen’s 10 usability heuristics in infographics that explain what each heuristic means and show design patterns that support the heuristics as well as anti-patterns that undermine usability by violating the heuristics.

User researchers as role-playing game classes | AI posture recommendation feature in Huawei Pura 90 phones | AI helps teaching assistants provide better feedback to students | AI as a metacognitive coach | Recommending an entertaining short AI film | SpaceX’s plan for 100 TW orbital compute | New Chinese video model Happy Horse from Alibaba

Standard usability testing uncovers interface flaws, but deprivation studies reveal if a product should exist at all. By intentionally forcing users to abstain from software, we expose hidden dependencies, useless ghost features, and duct-tape workarounds, providing empirical data to ruthlessly declutter bloated interfaces and maximize true utility.

Claude Design | AI Does User Testing | AI Use Crosses 50% | GPT-Images-2 | GPT 5.5 | DeepSeek 4 Summary: Claude Design should be used differently than canvas-based design tools | AI conducts user testing and can now see what’s happening on the screen | For the first time, more than 50% of employed Americans use AI at work | OpenAI recaptures leadership in AI image generation with new, highly accurate model | Two upgraded AI models, GPT 5.5 and DeepSeek 4