סרטונים מובילים
Google Gemini 3 can do something for English leaners that I haven't seen any other tool do, and I think it could be a big deal.
✅ Check out the 90-day program:
https://www.lukepriddy.com
Get a free English course:
https://www.lukepriddy.com/naturalconversations
____
Listen to the audio:
https://anchor.fm/cloud-english
Other links:
linktr.ee/lukepriddy
____
#learnenglish #english #americanenglish
A demo of how Google Gemini can save teachers valuable time and improve outputs.
This video simplifies how efficient Gemini can make your classroom.
Google Gemini — это мощный чат-бот, разработанный Google. Чтобы начать пользоваться, вам понадобится только зарегистрированная почта Google. Возрастное ограничение 18+.
Ссылка: https://gemini.google.com/app
Как использовать?
Gemini работает так же, как и другие чат-боты: вы задаёте вопросы, а он отвечает. Но у него есть важное преимущество:
Почему Gemini лучше, чем некоторые другие чат-боты?
В отличие от многих других моделей, которые имеют ограниченный доступ к информации (например, только до определённой даты, как старая энциклопедия), у Gemini информация более свежая.
Например, если вы хотите узнать о встрече президентов, которая состоялась вчера, лучше спросить у Gemini. Это потому, что Gemini подключён к поисковой системе Google и может искать информацию в реальном времени. Он не просто использует загруженные "массивы информации", а активно ищет её в интернете, что делает его данные актуальными.
Реальные примеры использования для уроков:
1. Генерация текста
Gemini может писать тексты на самые разные темы: от простых объяснений до творческих рассказов, стихов, сценариев или электронных писем.
Пример: Вы хотите легко объяснить, что такое фотосинтез, используя имена ваших учеников, чтобы им было интереснее.
Ваш запрос: "Напиши мне, что такое фотосинтез, чтобы моим ученикам в пятом классе было понятно, а чтобы было ещё интереснее, используй их имена, например: Айгуль, Кайрат, Денис, Мария."
Вот что Gemini может вам выдать:
Давайте представим, что мы с вами, Айгуль, Кайрат, Денис и Мария, отправляемся в удивительное путешествие в мир растений! Сегодня мы узнаем о самом главном секрете растений — фотосинтезе.
Что такое Фотосинтез?
Представьте, что растения — это маленькие, но очень умные повара. Только они готовят не обычную еду, как ваши мамы и папы, а особенную — сахар, который даёт им энергию для роста.
Для своего "блюда" растениям нужны всего три ингредиента:
Солнечный свет: Это их главная "плита", которая даёт тепло и энергию.
Вода: Представьте, что это "вода из-под крана", которую растения пьют корнями из земли.
Углекислый газ: Это такой невидимый газ, который есть в воздухе, и мы его выдыхаем. Для растений это как "специи".
И вот что происходит:
Айгуль, ты когда-нибудь видела маленькие листочки на дереве? В этих листочках есть крошечные зелёные частички, как будто маленькие зелёные фабрики. Их называют хлоропласты, и именно там происходит всё волшебство!
Кайрат, помнишь, как ты поливаешь цветы дома? Растение втягивает воду своими корнями из земли. Эта вода поднимается по стеблю прямо в листочки.
Денис, а ты знаешь, что когда мы дышим, мы выдыхаем углекислый газ? Растения очень любят этот газ! Они забирают его из воздуха через специальные маленькие "рот" на своих листьях, которые называются устьица.
Мария, а теперь самое интересное! Когда солнечный свет попадает на листья, эти зелёные фабрики (хлоропласты) используют его энергию, чтобы смешать воду и углекислый газ. И "вуаля"! Получается сахар — еда для растения! И ещё один очень важный "побочный продукт" — кислород!
Почему Фотосинтез так важен для нас?
Так вот, Айгуль, Кайрат, Денис и Мария, подумайте: что мы делаем, когда дышим? Мы вдыхаем кислород! А кто даёт нам этот кислород? Правильно, растения!
Значит, благодаря фотосинтезу, растения не только готовят себе еду, но и производят для нас самый важный газ — кислород, без которого мы просто не смогли бы жить. Это как растения делятся своим "подарком" со всем миром!
Вот почему так важно беречь деревья и растения, ведь они — наши главные поставщики чистого воздуха! Интересно, правда?
Вы только что придумали интересный способ, как рассказать про фотосинтез, не выдумывая ничего самому, а детям стало гораздо интереснее!
2. Суммирование информации
Gemini может взять большой текст и выделить из него главные идеи, сделав его короче и понятнее.
Пример: Вы можете загрузить фото страниц учебника и попросить составить короткий конспект или выписать главные идеи. Например, вы загружаете скачанный учебник по всемирной истории за 8 класс и просите объяснить Французскую революцию.
На видео показать как я загружаю учебник и делаю это все
3. Идеи и мозговой штурм
Вы можете задавать Gemini вопросы, чтобы получить креативные идеи для ваших уроков:
"Какое дать креативное домашнее задание, которое ученики не смогут полностью списать с помощью искусственного интеллекта, но которое поможет проверить их понимание темы восстаний Сырыма Датова?"
"По каким критериям оценивать групповую работу учеников? Составь рубрику в виде таблицы."
"Какие слова нужно использовать в аргументативном эссе? Составь список слов-шпаргалку для моих учеников."
И так далее!
4. Планирование и организация
Gemini может помочь составить расписание, спланировать мероприятие или организовать информацию.
Пример: Вы можете объяснить Gemini вашу систему обучения, какие цели обучения и какие темы нужно пройти, и он поможет составить расписание уроков и дать план на каждый урок.
Stop searching for the "perfect" classroom app and just BUILD it. I’m showing you how to use Google Gemini Canvas to create games and tools in seconds.
Link in bio to grab your copy and check out the full tutorial on my YouTube channel.
https://charlieslessons.com/pr....oduct/the-ai-teacher
#TeacherHacks #GoogleGemini #GeminiCanvas #AILessonPlans #aitools
Watch the Gemini segment from the Google I/O 2026 keynote. Learn about the latest updates to the Gemini app, with the latest Gemini model, new design language and so much more. Google is adding agents to Gemini with Gemini Spark, your 24/7 personal agent that helps you get things done and Daily Brief, our newest out-of-the-box agent that gives you a personalized digest.
Watch the full Google I/O 2026 keynote here: https://youtube.com/live/wYSncx9zLIU
Discover Gemini: https://gemini.google.com/app
0:12 - Compiling Content for an Email
1:23 - Planning a Neighborhood Event
3:34 - Multi-Tasking with Spark
4:42 - Rolling Out Gemini Spark
5:02 - Introducing the Ultra Plan
6:14 - Reviewing Completed Tasks
#GoogleIO #Gemini #GoogleAI
Subscribe to our Channel: https://www.youtube.com/google
Find us on X: https://twitter.com/google
Watch us on TikTok: https://tiktok.com/@google
Follow us on Instagram: https://www.instagram.com/google
Join us on Facebook: https://www.facebook.com/Google
Google vient de tenir sa conférence annuelle, la Google I/O 2026. Et cette année, une annonce domine tout : Gemini change de dimension. Nouveaux modèles, agent autonome, intégration dans tout l'écosystème Google... On vous décrypte tout en 10 minutes.
📖 LIRE L'ARTICLE COMPLET : https://www.frandroid.com/even....ts/google-io/3103131
SOMMAIRE :
00:00 Gemini va tout changer
00:21 Nouvelle interface
00:33 Gemini 3.5 Flash
01:09 Gemini 3.5 Pro
01:40 Gemini Omni
03:12 Spark : l'agent IA
05:33 Google Search
06:13 Google Shopping
06:46 Google Docs Live
07:19 Prix des abonnements
08:08 Conclusion
À DÉCOUVRIR AUSSI :
• Notre émission tech “Unlock” : https://www.youtube.com/@unlocktalk
• Notre chaîne dédiée à la voiture électrique : https://www.youtube.com/@Survolt%C3%A9s
• Toute l’actu tech : https://www.frandroid.com
SUIVEZ FRANDROID :
• Twitch : https://www.twitch.tv/frandroidlive
• Instagram : https://www.instagram.com/frandroid_off/
• TikTok : https://www.tiktok.com/@frandroid_
• Twitter : https://twitter.com/frandroid
• Discord : https://discord.com/invite/fra....ndroid-3117891721491
• Facebook : https://www.facebook.com/frandroidcom
TRANSPARENCE :
✅ VIDÉO NON SPONSORISÉE
Nous ne sommes pas rémunérés ou sponsorisés par les constructeurs pour vous présenter ces produits. Nos choix de tests et nos avis reposent uniquement sur des critères éditoriaux et journalistiques.
Nous remercions toutefois les marques qui nous fournissent, sans contrepartie financière, certains appareils afin de réaliser nos tests dans les meilleures conditions. Cela nous permet de couvrir plus largement l’actualité et de vous proposer des analyses complètes et fiables. 🙏
👍 Un like si cette vidéo vous a aidé
📝 Vos questions en commentaire
🔔 Abonnez-vous pour ne rien manquer de l’actu tech
#sandeepGoswami
#LipSyncAI #geminiomni #GoogleOmni
Gemini Omni Video Generator | Make FREE AI Videos (Dialogues + Lip Sync) | AI Video Kaise Banaye
🔥 Google Omni AI Video Generator Tutorial (FREE) | Create AI Videos with Lip Sync & Voice Clone
🚀 In this video, I'll show you how to use Google's latest Gemini Omni AI model to create realistic AI videos with dialogues, lip sync, voice cloning, and consistent AI avatars.
MASTER PROMPT Link :- https://docs.google.com/docume....nt/d/1L11SGUdIyeZQ6A
🎬 In This Video You’ll Learn:
• What Google Omni AI is & why everyone is talking about it
• How to create your own AI Avatar using Google Gemini
• How to clone your real voice for AI videos
• Perfect AI lip-sync workflow step-by-step
• How to maintain character consistency in every scene
• Gemini presets explained (Meme, Cinematic, Outdoors, Indie)
• Live AI video editing using text prompts
• How to use Google flow to bypass generation limits
• Complete workflow for AI Shorts, Reels & cinematic videos
#GoogleOmni #AIVideoGenerator #AIAvatar #LipSyncAI #GeminiAI #AIVideoEditing #VoiceClone #GoogleVflow #ArtificialIntelligence #SandeepGoswami
FOLLOW me on Instagram:- https://www.instagram.com/sandeep_goswamionly/
My Mic : - https://amzn.to/4814myN
My Camra :- https://amzn.to/4oXl9Kk
My Light : - https://amzn.to/4oMpb8k
A few high-performing alternative titles you could test:
1. Google Omni AI Video Generator FREE 🔥 Create AI Movies with Lip Sync
2. Make FREE AI Videos with Google Omni (Voice Clone + AI Avatar)
3. Google Gemini Omni Tutorial 🚀 Create Cinematic AI Videos for Free
4. How to Create AI Videos FREE on Mobile | Google Omni Full Tutorial
5. FREE AI Video Generator Better Than HeyGen? Google Omni Tested!
📌 your queries:-
gemini omni ,gemini omni tutorial
gemini omni video, gemini omni how to use
gemini omni prompt, gemini omni avatar
gemini omni flash, gemini omni video tutorial
gemini omni video editing. gemini omni kya hai
gemini omnipresent, omniverse gemini
how to use Gemini Omni
how to use gemini omni
how to use gemini omni for free
how to use gemini 2
how to use omni net genshin
how to use gemini ai
DISCLAIMER!:
This video is for educational purposes only. Always do your own research before using any tools or platforms.
Copyright Disclaimer: - Under section 107 of the copyright Act 1976, allowance is mad for FAIR USE for purpose such a as criticism, comment, news reporting, teaching, scholarship and research. Fair use is a use permitted by copyright statues that might otherwise be infringing. Non- Profit, educational or personal use tips the balance in favor of FAIR USE.
In this video, I will show you how to create your own AI Avatar using Google Gemini Omni. With this powerful AI technology, you can generate videos using your own face and voice without recording every video manually.
By creating an AI avatar, you can simply provide a script, and the AI will generate a video that looks and sounds just like you. Your facial appearance, voice, and speaking style can be replicated, allowing you to create content faster and more efficiently.
This technology opens up exciting opportunities for content creators, businesses, educators, and anyone who wants to create videos for social media platforms. In this tutorial, I will guide you step-by-step through the entire process so you can build your own AI avatar and start creating AI-generated videos with ease.
Watch the video till the end and learn how to use Google Gemini Omni to clone your face and voice for content creation.
#AIAvatar #GoogleGemini #GeminiOmni #VoiceCloning #AIVideoGenerator
Legal teams lose days per week to routine tasks like contract redlining and marketing reviews. Mark Pike, Associate General Counsel, shares how Anthropic's lawyers uses Claude to build workflows that cut review times from days to hours—no coding required.
Check out the full case study to learn more: www.claude.com/blog/how-anthro....pic-uses-claude-lega
Stay tuned for more stories in the "How Anthropic uses Claude" series.
The Anthropic Education Report: How University Students Use Claude is a comprehensive analysis of how university students integrate AI—specifically Anthropic's Claude model—into their academic work. The study is based on over one million anonymized student conversations from Claude.ai, narrowed down to 574,740 academic-relevant interactions, and provides some of the first large-scale real-world insights into educational AI use.
🧪 Study Purpose and Methodology
Objective
The report aims to move beyond surveys and lab studies by analyzing real-world student-AI interactions to understand how AI is shaping learning, cognitive engagement, and academic behavior.
Method
Used Clio, Anthropic's automated analysis tool, to analyze anonymized data.
Focused on conversations tied to higher education email domains (.edu, .ac.uk, etc.).
Filtered to retain only academic-relevant exchanges.
🔍 Main Findings
1. STEM Dominance and Disparities Across Disciplines
Computer Science students were the most prolific users of Claude, representing 38.6% of conversations while making up only 5.4% of U.S. degrees.
Other overrepresented fields: Natural Sciences and Math.
Underrepresented disciplines: Business, Health, and Humanities—each used Claude less than expected based on enrollment numbers.
2. Four Distinct AI Interaction Patterns
These were used almost equally by students:
Direct Problem Solving (e.g., getting quick solutions to homework).
Direct Output Creation (e.g., generating summaries or essays).
Collaborative Problem Solving (dialogue with AI to work through concepts).
Collaborative Output Creation (joint creation of larger work like lesson plans).
3. Predominant Use Cases
Creating and improving educational content: 39.3%
Technical explanations and solutions: 33.5%
Data analysis and visualization: 11%
Research and tool design: 6.5%
Technical diagrams: 3.2%
Translation/proofreading: 2.4%
Article content
🧠 Cognitive Delegation to AI: Bloom’s Taxonomy
Students primarily delegated higher-order cognitive tasks:
Creating (39.8%) – e.g., designing lesson plans or generating coding projects.
Analyzing (30.2%) – e.g., breaking down legal principles or debugging.
Far fewer tasks involved Applying, Understanding, or Remembering.
This raises concerns that students may be outsourcing the very tasks essential to critical thinking and deep learning.
🎓 Educational Integrity & Cheating Concerns
47% of conversations were "Direct", potentially associated with cheating (e.g., requesting direct answers to test questions).
Even “Collaborative” conversations may involve heavy AI reliance.
The ambiguity of intent (e.g., practicing vs. cheating) makes interpretation challenging.
📊 Subject-Specific Patterns
Natural Sciences & Math: focused on step-by-step problem solving.
Computer Science & Engineering: favored collaborative interaction.
Education: highest use for output creation, likely due to teachers creating instructional materials.
Business, Health, Humanities: more evenly split between direct and collaborative modes.
⚠️ Limitations of the Study
Skews toward early adopters and Claude users specifically (not representative of all AI tools).
Filtering imperfections may misclassify some users (e.g., faculty as students).
Analysis is time-bounded to an 18-day window, limiting longitudinal insights.
Only examines AI interactions, not downstream use or learning impact.
🧭 Implications & Next Steps
Highlights discipline-specific AI usage trends that could inform tailored educational policies.
Suggests need for new assessment methods that reflect AI’s role in the learning process.
Anthropic is piloting features like a “Learning Mode” that prioritizes Socratic teaching styles and conceptual understanding.
Read the article:
https://www.anthropic.com/news..../anthropic-education
🔒 Make yourself and your family AI-scam proof, step by step → https://neuralnutshell.com
Anthropic CEO Dario Amodei says we may be only one to five years away from a “country of geniuses in a data center,” with AI powerful enough to accelerate economic growth to unprecedented levels while simultaneously disrupting the foundations of white-collar work. In this video, we examine Amodei’s warnings that entry-level roles in software engineering, law, finance, consulting, and medicine could disappear far faster than societies can adapt, creating what he describes as a potential “bloodbath” for traditional career pathways. We also explore his concerns about autonomous drone swarms, mass AI-enabled surveillance, biological threats, and the possibility that future AI systems may display morally relevant experiences that humanity does not yet understand. Most strikingly, the man building some of the world’s most advanced AI systems admits that he cannot rule out machine consciousness, compares AI development to growing a biological organism, and warns that the gap between a beneficial future and catastrophe may be far smaller than most people realize.
📚 Sources cited in this video:
- Dario Amodei, Machines of Loving Grace
https://www.darioamodei.com/es....say/machines-of-lovi
- Anthropic
https://www.anthropic.com
- Dario Amodei et al., Concrete Problems in AI Safety
https://arxiv.org/abs/1606.06565
- The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
https://arxiv.org/abs/1802.07228
⚠️ DISCLAIMER: This channel provides AI commentary and analysis for educational and informational purposes only. Views expressed by guests are their own and do not represent the positions of any company or institution. We encourage viewers to consult multiple sources and form their own conclusions.
#ai #agi #artificialintelligence
Subscribe for AI updates → https://ibm.biz/BdnWwx
Will AI agents run all businesses? In episode 62 of Mixture of Experts, host Tim Hwang is joined by Gabe Goodhart, Kush Varshney and Marina Danilevsky to debrief Anthropic’s Project Vend. Next, do we still need massive data centers? We analyze DiLoCoX and discuss the possibility of distributed model training. Then, the New York Times released an article discussing how computer science education has changed in the era of AI; should people still study computer science? Finally, is the paper review process broken? And is it AI’s fault? All that and more on today’s episode of Mixture of Experts.
00:00 – Intro
01:07 -- Anthropic’s Project Vend
13:38 -- DiLoCoX
25:56 -- Computer science education
40:57 -- AI prompts in papers
The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
Visit Mixture of Experts podcast page to get more AI content → https://ibm.biz/BdnWwD
Anthropic accidentally shipped the full Claude Code source in one npm package — and developers wasted no time digging through it. In this Short, you’ll see what they found: the memory system, agent loop, internal architecture, and the overnight Python rewrite that got everyone talking.
If you’re into AI agents, coding tools, Claude, Python, and open-source dev news, this one is for you. Subscribe for more AI breakdowns, dev news, and viral tech explainers.
#claudecode #anthropic #python #aiagents #opensource #github #ainews #programming #DeveloperNews #youtubeshorts
Claude Mythos found tens of thousands of software vulnerabilities with an 83.1% exploit success rate. Anthropic refused to release it publicly — instead launching Project Glasswing with 40 partner companies including Apple, Amazon, and Microsoft to defend critical systems.
What does this mean for Claude Code users? The model you are using today is the weakest version you will ever use.
🎓 Join Agent Skills Academy (FREE): https://www.skool.com/agentskillsacademy/about
Start your own store for free with #Printify: https://try.printify.com/x77kl85ks289. Use code WSM — the first 100 users get 15% off their first order.
In this video we analyze the AI company Anthropic as well as the recent phenomenon of Tokenmaxxing.
Follow us on Twitter / X: https://x.com/wallstreetmil
For inquires related to Differentiated Analytics email us at: founder@differentiatedanalytics.com
Check out our second channel Broken Business Models where we discuss unusual or otherwise suspect businesses that may be unviable: / @brokenbusinessmodels
For business inquires: Mary@creatormanager.co
For other inquiries: Wallstreetmillennial@gmail.com
All materials in these videos are used for educational purposes and fall within the guidelines of fair use. No copyright infringement intended. If you are or represent the copyright owner of materials used in this video and have a problem with the use of said material, please send me an email, wallstreetmillennial.com, and we can sort it out.
––––––––––––––––––––––––––––––
Buddha by Kontekst / kontekstmusic
Creative Commons — Attribution-ShareAlike 3.0 Unported — CC BY-SA 3.0
Free Download / Stream: http://bit.ly/2Pe7mBN
Music promoted by Audio Library • Buddha – Kontekst (No Copyright Music)
––––––––––––––––––––––––––––––
#wallstreetmillennial
0:00 - 3:15 Intro
3:16 - 8:35 Is Anthropic Profitable?
8:36 - 11:09 Lines of Code
11:10 - 14:15 Tokenmaxxing
14:16 - 19:20 The Productivity Hoax
19:21 Fear Based Marketing
Anthropic Claude Certification explained: CCA-F exam pattern, syllabus, cost, and whether it’s worth it. Everything you need to know before taking the Claude Certified Architect Foundations exam.
Curious about Anthropic’s first official certification? In this video, I break down the Claude Certified Architect Foundations (CCA-F) exam — including format, domains, cost, and who it’s actually for.
This is NOT a basic prompting test. It’s a system design + AI architecture exam focused on building real-world Claude applications.
💡 What you’ll learn:
Exam structure (60 questions, 120 mins, proctored)
Key domains (Agentic architecture, Claude Code, MCP, prompts)
Scenario-based testing strategy
Who should take this (and who shouldn’t)
Is it worth it vs AWS-style certifications?
If you're serious about building with Claude, this is something you need to understand.
👇 Let me know:
Are you planning to take this exam? Which domain feels toughest?
#ClaudeAI #Anthropic #AICertification #MachineLearning #AIEngineering #PromptEngineering #SystemDesign #GenAI #ArtificialIntelligence #TechCareers #Developers #AIJobs #ClaudeCertification #LLM #AIArchitect
Discover Anthropic's groundbreaking release of Claude Opus 4, their most advanced AI model designed for complex tasks with enhanced safety measures. Learn how Anthropic addresses the risks of AI misuse through strict protocols and a bounty program, emphasizing ethical deployment while competing in the AI market with OpenAI’s ChatGPT. Explore the future of AI innovation balanced with responsible oversight and the call for global regulation.
#Anthropic #ClaudeOpus4 #ArtificialIntelligence #AISafety #ResponsibleAI #AIInnovation #Cybersecurity #EthicalAI #AIRegulation #ChatGPT
Read more on the site: https://neuron.expert/news
WSJ’s Kate Clark demonstrates how Anthropic’s new Cowork tool can help non-coders automate their lives–or at least attempt to.
#Claude #AI #WSJ
Anthropic is making headlines for multiple reasons at once. Reports suggest the company is working closely with U.S. national security organizations while simultaneously pursuing one of the largest IPOs in technology history.
In this video, we break down the reported collaboration involving Anthropic engineers, the Claude Mythos cybersecurity model, Project Glasswing, the growing competition between Anthropic and OpenAI, and the broader discussion around advanced AI systems.
We also explore Anthropic's research on recursive self-improvement, the rapid growth of AI-assisted software development, the future of cybersecurity, and what these developments could mean for businesses, governments, and everyday users.
This video is intended for educational and informational purposes. The discussion is based on publicly reported information and focuses on technology, cybersecurity, AI development, policy, and industry trends.
📌 Topics Covered: ✔ Anthropic and Claude Mythos
✔ Project Glasswing Explained
✔ NSA and AI Collaboration Reports
✔ AI Cybersecurity and Vulnerability Discovery
✔ Anthropic IPO and Valuation Discussion
✔ Recursive Self-Improvement (RSI) Explained
✔ OpenAI vs Anthropic Competition
✔ Future of AI Governance and Security
✔ Frontier AI Models and Policy Developments
If you enjoy deep dives into artificial intelligence, cybersecurity, technology trends, and the future of computing, make sure to subscribe and turn on notifications.
#ArtificialIntelligence #Anthropic #ClaudeAI #AI #CyberSecurity #OpenAI #Technology #MachineLearning #FutureTech #Innovation #TechNews #AISafety #DigitalSecurity #AITools #TechExplained
Anthropic’s latest report frames multi-agent development as an emerging future. Inside AutonomyAI, it’s already operating in live enterprise environments. Fei Studio enables PMs and product teams to ship production-ready pull requests directly into real codebases—under real architectural constraints, with real standards and business logic.
This commentary breaks down what actually makes agents reliable in production, why model strength wasn’t the true bottleneck, and how product leaders, AI operators, and executive teams can move from experimentation to operational AI systems today.
Explore how Fei Studio powers multi-agent workflows at autonomyai.io.
A surprising story from the AI industry: **Boris Cherny**, the head of Claude Code at **Anthropic**, briefly left the company to join **Cursor**—and then returned just two weeks later.
In this video, we break down why Boris made the move, what he discovered after joining Cursor, and why he ultimately decided to go back to Anthropic. While he admired Cursor’s product and team, he realized something important was missing: the mission.
At Anthropic, the focus on **AI safety** drives everything. For Boris, that shared mission was a major reason he joined in the first place. Without that deeper purpose, even working on an exciting AI coding product didn’t feel the same.
His quick return highlights an important lesson in tech and career choices: sometimes the **“why” behind the work matters more than the work itself**.
Was this the fastest job reversal in AI? Maybe. But it also raises a bigger question about purpose, mission, and what really keeps people motivated in the fast-moving world of AI.
What do you think — is mission everything, or is it overrated?
#AI #Anthropic #Cursor #ClaudeAI #TechNews #ArtificialIntelligence
Ever wonder why the smartest companies are deploying AI everywhere at once while others debate cost-effectiveness using traditional technology frameworks that no longer apply?
Anthropic's CFO just exposed the "sports car paradox" that rewrites the fundamental rules of technological economics.
Every technology in human history operates on the same trade-off: More performance costs more resources. Sports cars deliver exhilarating capability at the expense of fuel efficiency. This isn't a design choice—it's physics.
AI just broke physics.
Each model generation doesn't just get smarter—it gets smarter while requiring less computational resources per unit of intelligence delivered. The efficiency gains compound. Customer costs decrease while capabilities explode. Internal training infrastructure becomes exponentially more efficient rather than hitting resource constraints.
This creates the impossible sports car: Faster acceleration every generation while simultaneously improving fuel economy. The organizations that understand this paradox aren't treating AI as expensive infrastructure—they're positioning it as the only resource that gets more powerful and more economical simultaneously.
