{"total":5,"offset":0,"limit":20,"items":[{"id":"speech","kind":"discovery","path":"/discoveries/speech","title":"A way back to conversation.","description":"A man with ALS used an experimental brain–computer interface to turn attempted speech into conversation.","domains":["Access"],"published":"2026-09-05","modified":null,"sourceDate":"2024-08-14","dates":{"eventDate":null,"publicationDate":"2024-08-14","captureDate":null,"lastReviewedDate":"2026-09-05"},"provenance":{"origin":"legacy-projection","externalId":"speech"},"revisions":[],"corrections":[],"review":"Emerging; confidence: unassessed; source-checked; legacy source check. Legacy source check; no named human reviewer is recorded in this projection.","sections":[{"title":"The human problem","text":["ALS can leave thoughts intact while taking away the ability to speak clearly."]},{"title":"The prior constraint","text":["Communication depended on limited movement and other people interpreting speech."]},{"title":"AI’s actual role","text":["Neural decoders translated recorded cortical activity into words, then synthesized speech."]},{"title":"The documented result","text":["The study reported 97.5% word accuracy after further training, sustained over 8.4 months."]},{"title":"Why it may matter","text":["For one participant, the system supported self-paced conversations."]},{"title":"Limitations","text":["One participant, implanted electrodes, and specialist support. This is not a broadly available treatment."]},{"title":"Unresolved questions","text":["Test reliability, safety, and usefulness with more participants and longer follow-up."]}],"limitations":["One participant, implanted electrodes, and specialist support. This is not a broadly available treatment."],"sources":[{"id":"source:speech","title":"An Accurate and Rapidly Calibrating Speech Neuroprosthesis · NEJM","url":"https://www.nejm.org/doi/full/10.1056/NEJMoa2314132","type":"paper"}],"links":[{"title":"Health & biology","path":"/worlds/health"},{"title":"People & culture","path":"/worlds/culture"},{"title":"What if the body could answer intention again?","path":"/threads/agency"},{"title":"Extended story and historical record","path":"/stories/a-way-back-to-conversation"},{"title":"Open this record in the interactive world","path":"/?event=speech"}]},{"id":"speech-home","kind":"discovery","path":"/discoveries/speech-home","title":"A voice in everyday life.","description":"Casey Harrell used a brain–computer interface at home to communicate and operate his computer without researchers present.","domains":["Access"],"published":"2026-09-06","modified":null,"sourceDate":"2026-06-15","dates":{"eventDate":null,"publicationDate":"2026-06-15","captureDate":null,"lastReviewedDate":"2026-09-06"},"provenance":{"origin":"legacy-projection","externalId":"speech-home"},"revisions":[],"corrections":[],"review":"Emerging; confidence: unassessed; source-checked; legacy source check. Abstract and figure captions checked via PubMed; corroborated with UC Davis and NIH accounts. Full paper not reviewed by Bright.","sections":[{"title":"The human problem","text":["A communication tool must work in daily life, beyond supervised research sessions."]},{"title":"The prior constraint","text":["Earlier use required researchers to be present. Independence and long-term reliability remained open questions."]},{"title":"AI’s actual role","text":["Neural decoders translated attempted speech and movement into text and computer cursor control."]},{"title":"The documented result","text":["The study reported more than 3,800 hours of home use by one participant, including communication and computer access, without researchers present."]},{"title":"Why it may matter","text":["Harrell could communicate with family and friends and use his own computer."]},{"title":"Limitations","text":["One participant with an implanted investigational device. Caregivers still helped set up the system. This is not general clinical availability or independent replication."]},{"title":"Unresolved questions","text":["Test safety and reliability with more participants; reduce the equipment and support needed for daily use."]}],"limitations":["One participant with an implanted investigational device. Caregivers still helped set up the system. This is not general clinical availability or independent replication."],"sources":[{"id":"source:speech-home","title":"Long-term independent use of an intracortical brain–computer interface for speech and cursor control · Nature Medicine (PubMed)","url":"https://pubmed.ncbi.nlm.nih.gov/42297978/","type":"paper"}],"links":[{"title":"Health & biology","path":"/worlds/health"},{"title":"People & culture","path":"/worlds/culture"},{"title":"What if the body could answer intention again?","path":"/threads/agency"},{"title":"Extended story and historical record","path":"/stories/a-voice-in-everyday-life"},{"title":"Open this record in the interactive world","path":"/?event=speech-home"}]},{"id":"talkback-questions","kind":"discovery","path":"/discoveries/talkback-questions","title":"A screen reader that can take a follow-up question.","description":"Google announced a rollout that let Android TalkBack users ask Gemini follow-up questions about images and about the whole screen, extending beyond one-shot image descriptions.","domains":["Access","Education"],"published":"2026-09-07","modified":null,"sourceDate":"2025-05-15","dates":{"eventDate":null,"publicationDate":"2025-05-15","captureDate":"2026-09-07","lastReviewedDate":"2026-09-07"},"provenance":{"origin":"editorial","externalId":"https://blog.google/company-news/outreach-and-initiatives/accessibility/android-gemini-ai-gaad-2025/"},"revisions":[{"id":"revision:a655ca5ebf06ed03f107","recordedAt":"2026-09-07","summary":"The interface gives the person asking the question more control over what information is relevant in the moment.","sourceIds":["source-talkback-questions"]}],"corrections":[],"review":"Deployed; confidence: unassessed; approved; ai-assisted. AI-assisted editorial comparison with the cited primary source; result, setting, source date and limitations retained. Independently checked within the research team. Publication authorized by the site owner; no human source review is claimed.","sections":[{"title":"The human problem","text":["Images without alt text and visually structured app screens can block blind and low-vision users from getting the details they need."]},{"title":"The prior constraint","text":["A basic image description can name an object but may not answer the user's own question about material, color, price, or surrounding context."]},{"title":"AI’s actual role","text":["Gemini generated descriptions and answered user follow-up questions about images and screen contents inside Android's TalkBack screen reader."]},{"title":"The documented result","text":["Google stated that the expanded Gemini integration was rolling out on May 15, 2025, allowing descriptions and questions about images and the entire screen. The same announcement said a new English Expressive Captions version was rolling out for Android 15+ in the United States, United Kingdom, Canada, and Australia."]},{"title":"Why it may matter","text":["The interface gives the person asking the question more control over what information is relevant in the moment."]},{"title":"Limitations","text":["This is a product announcement, not an independent accuracy or user-outcome study.","Availability depends on device, operating-system version, language, and region.","Generated visual descriptions and answers can be incorrect or unsuitable for sensitive content."]},{"title":"Unresolved questions","text":["How accurate and useful are answers in high-stakes tasks such as shopping, travel, or reading personal documents?","How do users want privacy and data handling explained when asking about their screens?","Which languages and device classes remain excluded?"]}],"limitations":["This is a product announcement, not an independent accuracy or user-outcome study.","Availability depends on device, operating-system version, language, and region.","Generated visual descriptions and answers can be incorrect or unsuitable for sensitive content."],"sources":[{"id":"source-talkback-questions","title":"New AI and accessibility updates across Android, Chrome and more","url":"https://blog.google/company-news/outreach-and-initiatives/accessibility/android-gemini-ai-gaad-2025/","type":"institution"}],"links":[{"title":"Health & biology","path":"/worlds/health"},{"title":"Work & learning","path":"/worlds/work"},{"title":"People & culture","path":"/worlds/culture"},{"title":"What if the body could answer intention again?","path":"/threads/agency"},{"title":"How can AI expand learning while preserving human judgment?","path":"/threads/learning"},{"title":"When does a technical result become a public capability?","path":"/threads/community"}]},{"id":"qwen3","kind":"discovery","path":"/discoveries/qwen3","title":"Choosing when a model thinks longer.","description":"The Qwen team released and described Qwen3, a family of dense and mixture-of-experts language models with selectable thinking and non-thinking modes.","domains":["Open intelligence"],"published":"2026-09-07","modified":null,"sourceDate":"2025-04-29","dates":{"eventDate":null,"publicationDate":"2025-04-29","captureDate":"2026-09-07","lastReviewedDate":"2026-09-07"},"provenance":{"origin":"editorial","externalId":"https://qwenlm.github.io/blog/qwen3/"},"revisions":[{"id":"revision:b4305dfe89bc751fb480","recordedAt":"2026-09-07","summary":"Giving developers a stated control over reasoning time could make it easier to reserve slower processing for harder tasks and use faster responses for straightforward work.","sourceIds":["source-qwen3"]}],"corrections":[],"review":"Deployed; confidence: unassessed; approved; ai-assisted. AI-assisted editorial comparison with the cited primary source; result, setting, source date and limitations retained. Independently checked within the research team. Publication authorized by the site owner; no human source review is claimed.","sections":[{"title":"The human problem","text":["People building AI systems often need to balance response speed and cost against extra time for complex reasoning, including in multilingual work."]},{"title":"The prior constraint","text":["A system's reasoning budget is often fixed or hidden from the person using it."]},{"title":"AI’s actual role","text":["Qwen3 can use a slower step-by-step Thinking Mode or a faster Non-Thinking Mode; the team also reports support for 119 languages and dialects."]},{"title":"The documented result","text":["Qwen announced models from 0.6B to 32B dense sizes and 30B-A3B/235B-A22B mixture-of-experts sizes, with pre- and post-trained variants available via Hugging Face, ModelScope, and Kaggle. Its source describes the two operating modes and reports multilingual support."]},{"title":"Why it may matter","text":["Giving developers a stated control over reasoning time could make it easier to reserve slower processing for harder tasks and use faster responses for straightforward work."]},{"title":"Limitations","text":["The source's model rankings and language-support claims do not establish comparable accuracy or cultural fit across every listed language or task.","The source says the family was open-sourced but this dossier does not assert a single license or complete training-data release for every variant; those must be checked per model card.","Longer reasoning can increase latency and cost without guaranteeing a correct answer."]},{"title":"Unresolved questions","text":["Do native speakers judge quality and safety similarly across the claimed languages?","When does additional reasoning actually improve a real task?","What data, licensing, and provenance constraints apply to each released variant?"]}],"limitations":["The source's model rankings and language-support claims do not establish comparable accuracy or cultural fit across every listed language or task.","The source says the family was open-sourced but this dossier does not assert a single license or complete training-data release for every variant; those must be checked per model card.","Longer reasoning can increase latency and cost without guaranteeing a correct answer."],"sources":[{"id":"source-qwen3","title":"Qwen3: Think Deeper, Act Faster","url":"https://qwenlm.github.io/blog/qwen3/","type":"institution"}],"links":[{"title":"Open intelligence","path":"/worlds/open"},{"title":"What changes when powerful models become open-weight?","path":"/threads/open"},{"title":"Someone builds on it","path":"/open-intelligence"}]},{"id":"compute-meets-grid","kind":"experience","path":"/experiences/compute-meets-grid","title":"The grid that talks to compute.","description":"Move a flexible workload in time and inspect demand, deferred work and the rebound. A transparent illustrative model.","domains":["Energy","Infrastructure"],"published":"2026-09-09","sourceDate":null,"sections":[{"title":"The model","text":["Six one-hour windows. The illustrative AI workload uses 20 MW in each window (120 MWh total). Move up to 20 MWh from window four to window six. Grid supply is held at 100 MW. All values are authored assumptions, not Aurora measurements."]},{"title":"What changes","text":["Moving work can relieve one peak but creates demand later. A sustained high-demand scenario shows why flexibility alone cannot solve a supply shortage."]},{"title":"What is excluded","text":["No network topology, ramp constraints, cooling dynamics, compute overhead, emissions, prices or service reliability are modeled. The model assumes all shifted work can meet its deadline in window six."]}],"sources":[{"title":"NVIDIA: DSX grid-flexibility blueprint","url":"https://blogs.nvidia.com/blog/omniverse-dsx-blueprint/"}],"links":[{"title":"Emerald AI / DSX evidence record","path":"/discoveries/emerald-aurora"},{"title":"Energy world","path":"/worlds/energy"}],"limitations":["An illustrative energy-balance model, not a production controller, Aurora operating trace, grid-capacity estimate or reliability validation."],"review":"Bright-authored assumptions and arithmetic, separate from company claims."}],"nextOffset":null}