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BluePill AI World’s first · 1,000 real humans · 6 breakfast categories World’s first · 1,000 real humans · 6 breakfast categories 1,000 breakfast consumer twins. Available to talk, right now. 1,000 real breakfast consumers. Available to talk, right now. 1,000 real breakfast consumers. Available to talk, right now. Built from in-depth research with real breakfast category buyers. Run concept tests, packaging studies, and qual research against the people who actually buy these products — in minutes, not months. Get free access First study free No credit card 1,000 AI Twins 6 Categories 4 Use cases Consumer marketplace Pick a category. Meet the consumers. Cereal Granola Oats Dairy Products Breakfast Bars Yogurt customer segments Clean Premium Believers 89 Twins Disciplined Traditionalists 74 Twins Value Protein Seekers 68 Twins Budget Family Feeders 58 Twins Protein Purists 56 Twins Comfort & Nostalgia Lovers 47 Twins GLP-1 Users 67 Twins Clean Premium Believers Cereal · 89 Twins AI Twin SAMPLE QUESTION "What makes a cereal worth paying more for?" TWIN RESPONSE Ingredients I recognize. I'll happily pay extra for organic oats over a box of dyed sugar shapes. Sign up to query this Twin → First use case free · No credit card 👤 Sign up to query any Twin in this category 👤 Sign up to query any Twin in this category How it works No recruiting, no six-week wait. No recruiting, no six-week wait. Protein-First Optimizer Low-Sugar Parent Family Breakfast Captain 1 · P

Republican Texas Governor Greg Abbott has said that new data centres in the state will have to comply with regulations before building begins. The directive, announced on Monday evening, is sure to cause concern in conservative Texas, where politicians routinely highlight the importance of cutting bureacracy, being business-friendly and leading the artificial intelligence boom . Under the Texas directive, data centre developers must inform the state about how much financial assistance they might need for construction, estimated electricity and water use, lowering noise, light controls and ownership details. “Our top priority is to protect Texans’ safety and quality of life,” Mr Abbott said. “Any project that fails to comply with the requirements set forth by the Public Utility Commission of Texas (PUCT), Electric Reliability Council of Texas (ERCOT), and by state law, must be denied connection to the Texas grid. "Simply put, Texans must come first.” The Electric Reliability Council of Texas warned this week that by 2032, the demand placed on the state's energy grid was projected to double. The state's grid has been under increased strain in recent years, with a growing population, extreme weather and cryptocurrency mining operations, in addition to data centres. Mr Abbott's order shows how much opposition to data centres has grown over the year throughout the US, where polls show voters are increasingly concerned about environmental effects, noise and possible increases in re

The debate in enterprise software has shifted from what can I do with AI? to where does my competitive advantage lie? Or, as Satya Nadella, CEO of Microsoft, asked in June: How do companies avoid "ceding value" to a handful of models? Our answer is simple: Your competitive advantage lies in your customer relationships and the context they generate. Which subscribers are one bad experience away from leaving, and what is most likely to keep them. What information a borrower has already submitted, and how to move the application forward. Why patients don’t book the specialist referrals they are offered. Unlike intelligence, which every company can rent, this context is uniquely yours. Meet Context Engine , which turns your customer relationships into your competitive advantage. It powers long-running Horizon agents that pursue business outcomes over days, weeks, or months, with every interaction adding more context and making the next one smarter. From scattered data to usable signals When a customer calls to cancel, the context you need to make the right offer probably already exists somewhere in your business. The question is whether your agent can find it in the thirty seconds that matter. That context comes from two places: What the business already knows: Customer profiles, billing history, purchases, claims, appointments, product usage, loyalty status, and thousands of other signals spread across CRM systems, data warehouses, and the systems that run the business. What the

정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. CS329A Self-Improving AI Agents - YouTube

위세아이텍(대표 김다산, 이제동)이 콴엔터테인먼트와 유튜브 채널 운영을 데이터 기반으로 지원하는 신규 플랫폼 시장 공략에 나선다. 위세아이텍은 콴엔터테인먼와 전략적 업무협약(MOU)을 맺고 유튜브 데이터 기반 서비스 '튜밋(Tumeet)'의 정식 출시와 시장 확산에 본격적으로 나선다고 4일 밝혔다. 이번 협력은 유튜브가 기업과 아티스트의 핵심 소통 창구로 자리매김한 가운데, 데이터를 활용해 채널 운영 전략을 정교화하려는 수요가 빠르게 커지고 있다는 점에 주목해 이뤄졌다. (왼쪽부터)김다산 위세아이텍 대표와 콴엔터테인먼트 소속 아티스트 하하, 장형철 콴엔터테인먼트 대표(이미지=위세아이텍 ) 양사는 위세아이텍의 AI·데이터 분석 기술과 콴엔터테인먼트의 콘텐츠 산업 이해도 및 현장 네트워크를 접목해 실제 운영 환경에 적합한 서비스 경쟁력을 확보할 계획이다. 위세아이텍이 선보일 예정인 '튜밋'은 유튜브 전반의 흐름과 개별 채널 데이터를 통합적으로 분석해 채널 운영자가 다음 실행 방안을 도출할 수 있도록 돕는 플랫폼이다. 서비스는 최신 유튜브 트렌드와 급부상 키워드를 제공하며, 채널 연동 시 맞춤형 대시보드를 통해 주요 성과 지표, 시청자 반응, 댓글 데이터 등을 한눈에 확인할 수 있도록 지원한다. 이와 함께 영상 제작과 채널 운영 실무를 돕는 AI 기능도 탑재해 실질적인 활용도를 높였다. 튜밋은 트렌드 탐색, 채널 진단, 실행 전략 수립까지 이어지는 유튜브 운영 전 과정을 하나의 체계로 연결하는 데 초점을 맞췄다. 위세아이텍은 그동안 축적한 AI·데이터 분석 역량을 바탕으로 채널 분석 기능과 인사이트 제공 수준을 지속적으로 고도화하고 있다. 이번 협약을 통해 위세아이텍은 실제 유튜브 채널 운영 현장에서 '튜밋'을 다방면으로 검증하고, 현업 요구를 빠르게 반영해 서비스 품질을 끌어올릴 예정이다. 콴엔터테인먼트는 소속 아티스트 채널 운영에 '튜밋'을 적용해 채널별 특성과 시장 흐름을 보다 정밀하게 파악하고, 콘텐츠 경쟁력 강화와 성과 관리 체계화에 활용할 계획이다. 아울러 실제 사용자 입장에서 도출한 의견과 개선점을 위세아이텍에 전달하며 서비스 고도화에도 힘을 보탠다. 양사는 앞으로 ▲'튜밋'의 성공적인 출시와 시장 확산을 위한 공동 마케팅 및 대외 협력 ▲엔터테인먼트 업계 실무 경험과 유튜브 운영 환경을 반영한 서비스 검증 및 기능 개선 ▲소속 아티스트 채널의 데이터 기반 운영과 콘텐츠 전략 수립 ▲양사 기술·콘텐츠·채널·네트워크를 연계한 신규 서비스 및 공동 비즈니스 모델 발굴 등을 함께 추진할 방침이다. 장형철 콴엔터테인먼트 대표는 "개인별 추천 알고리즘 영향으로 사용자마다 접하는 콘텐츠가 달라져, 유튜브 전체에서 어떤 주제와 형식이 주목받는지 객관적으로 파악하기가 점점 어려워지고 있다"며 "튜밋은 현재 유튜브에서 부상하는 흐름과 각 채널 반응을 함께 분석해 콘텐츠 기획에 활용할 수 있다는 점에서 높은 가능성을 봤다"고 말했다. 관련기사 위세아이텍, 데이터·AI 기반 중앙은행 인프라 운영 맡는다 2026.03.26 위세아이텍, 범정부 데이터

Loading image... Persistent and self-improving Memory, lessons, and skills carry across sessions, so your crew evolves to fit your work. Inspect, edit, or remove what your crew carries forward. Works while you’re away Cron schedules, webhook triggers, and heartbeat monitors keep your agent crews productive online or off. Long-running tasks move through checkpoints, validation, and retries automatically. Fold in your unique workflows and tools with Apps. 7 layers of defense OS sandboxing, denied command patterns, bash blocking, input/output validation, sensitive path protection, credential redaction, and signed audit logs. Verify every layer: it’s open source. Learns how you work Kiro Crew remembers context across sessions, turns corrections into lasting lessons, and evolves from your work patterns so it just keeps getting better. Loading image... Loading image... Control what your crew learns Corrections become durable lessons, and repeated workflows get synthesized into named skills. Lessons and skills are Markdown files you can inspect, edit, scope to a workspace, or delete — and they use the same steering file format as the IDE and CLI. Loading image... Knowledge graph with search Architectural decisions, coding preferences, and project context land in a knowledge graph backed by vector embeddings and full-text search, so the agent retrieves what's relevant instead of re-reading everything. Loading image... Memory that survives restarts Active projects and working co

Show HN: AI product evaluation methodoloy at huby | Hacker News Hacker News new | past | comments | ask | show | jobs | submit login 1 point by dd-sharma 51 minutes ago | hide | past | favorite | discuss There are a number of AI benchmarks but I feel they aren't practical when it comes to evaluating AI products. Several months back we started working on designing a methodology to independently evaluate AI products. After conducting a good bit of research, we tested the methodology on a few different categories of products and improvised it. If this is an area of interest to you, may I request you to review this methodology and help us with feedback. A quick blurb on the structure of the methodology - It's a 3-tier framework starting with 6 high level evaluation categories (Quality, Security, Privacy & safety, Use cases & pricing, Sustainability & ecosystem, and Impact & ethics). The methodology is available at huby.ai/methodology. Thanks in advance. help Consider applying for YC's Fall 2026 batch! Applications are open till July 27. Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact Search: