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Is Meta’s new Movie Gen better than Sora? What’s the one feature everyone’s missing in ChatGPT’s new Canvas mode? What’s with all of these new Microsoft Copilot updates? And why is Google bringing ads to AI search? We bring you the AI news that matters.

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Topics Covered in This Episode:
1. Meta's MovieGen AI Video Tool
2. OpenAI Funding and Growth
3. Windows 11 Updates
4. New OpenAI Announcements
5. Google AI Developments
6. NVIDIA's AI Model

Timestamps:
02:10 Moviegen: Groundbreaking AI for customizable video creation.
03:56 MovieGen's promising AI not public yet.
09:36 OpenAI raises $6.6B, secures $4B credit.
11:22 OpenAI possibly losing billions despite revenue growth.
14:46 AI memory feature for PCs launching in November.
19:43 New features start rolling out this fall.
22:20 Microsoft updates: Copilot Plus and voice assistant rollout.
27:26 Open-sourcing AI models risks misuse despite intentions.
31:24 Real-time API introduced, enhancing speech applications.
35:03 Google develops AI to rival OpenAI's capabilities.
36:36 Google AI advancements: Alpha Proof, Astra, AI Search.
41:19 Canvas upgrade enhances coding in ChatGPT Plus.
46:12 Poll on tomorrow's show topic: Canvas tips?
49:57 Microsoft integrates GPT-4, enhancing collaboration tools.
51:24 OpenAI funding, Windows 11 updates, NVIDIA model unveiling.

Keywords:
Meta, MovieGen, AI video tool, OpenAI, Adobe, Luma's Dream Labs, Runway, Pika Labs, generative AI, Jordan Wilson, Microsoft, Wave 2 Copilot, ChatGPT, GPT-4, NVIDIA, NVLM 1.0, Google, in-page editing, in-line editing, AI Overviews Update, AI news, Canvas, Anthropic, Copilot Vision, Think Deeper, Windows 11 updates, liquidity, real-time API, Microsoft Build Conference, AI assistant

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With AI stepping in, streaming video is being reimagined in ways we never thought possible. Find out how the biggest media companies are using AI to stay ahead of the curve and why it’s reshaping the future of video with Brightcove's Marc DeBevoise.

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Topics Covered in This Episode:
1. Video's Increasing Dominance
2. AI's Impact on Video
3. New Video Consumption Avenues
4. Innovation in Video Creation

Timestamps:
01:40 Google adds ads to AI-generated summaries.
04:55 About Mark and Brightcove
06:39 AI will transform video creation and distribution significantly.
08:23 Ask AI video questions to CEO during livestream.
12:55 Optimizing metadata enhances audience engagement efficiently.
13:52 AI improves engagement by optimizing metadata and distribution.
17:40 Remote work increased demand for video content.
23:11 AI model development dominated by major tech companies.
23:53 Evolving video content creation and management challenges.
27:08 Video tech boosts small business growth opportunities.

Keywords:
Role of Text in AI, Video's Increasing Dominance, Video Engagement, Impact of COVID-19 & AI, AI Tools and Content Creation, Compartmentalized Attention, Technological Integration, New Video Consumption Avenues, Innovation in Video Creation, Platform Adaptation, Small and Medium-sized Businesses (SMBs), AI as a Tool for Experimentation, Intersection of AI and Video, Encouragement and Future Vision, Host Introduction, Podcast Overview, AI News Highlights, OpenAI's New Canvas Feature, Google Ads in AI Summaries, OpenAI's Financial Developments, Guest Introduction, Brightcove Overview, AI's Impact on Video, Brightcove Services, AI-generated Content, Language Translation, Auto-Generate Metadata, Content Volume Management, Experimenting with AI, Multilingual Content.

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Are you missing out on the power of streaming data? Want to know how to make your AI faster, smarter, and more relevant? Join us for a deep dive into how data streaming can transform AI from a predictive tool into a real-time decision-maker with Will LaForest, Global Field CTO of Confluent.

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Topics Covered in This Episode:
1. Internal Use of AI
2. Data Integration
3. Risks and Importance of Data Streaming
4. Data Governance and Traceability
5. Future of Data and AI

Timestamps:
01:30 Daily AI news
05:15 About Will and Confluent
09:15 Real-time data is crucial for current accuracy.
12:16 Data streaming enables AI use for midsize businesses.
15:11 Data streaming enables real-time customer data updates.
19:36 Data streaming's stability is crucial for finance.
20:27 Data governance ensures safe, accurate data delivery.
25:16 Services simplify data streaming integration for companies.

Keywords:
AI internal use, Data integration, Risks of data streaming, Data governance, Provenance and traceability, Ethical AI use, Future of data and AI, Industry outlook, Data streaming services, Notion AI, Industry-specific integration, Quality data for AI, Real-time data importance, Confluent, Data streaming, Generative AI, Mid-market companies and data streaming, Data streaming use cases, Confluent's mission, Customer testimonial, NVIDIA NVLM, OpenAI competition, Google AI development, OpenAI funding, Will LaForest, Uber and data streaming, Generative AI context, AI in business, Enhanced productivity, Data privacy

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We're all gonna be talking to AI Avatars soon. In the past ONE WEEK! alone, we've seen big AI agent pushes from Apple, Meta, Microsoft and OpenAI. We're breaking down the real talk on not just the ins and outs of AI avatars, but how your company can actually use them to drive revenue growth with Hour One's Natalie Monbiot.

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Topics Covered in This Episode:
1. Discussing AI Avatars & Hour One's Role
2. AI Avatars in Content Creation
3. AI Avatars for Revenue Generation
4. AI Avatars and Enhancing Existing Processes

Timestamps:
02:30 About Natalie and Hour One
06:48 AI avatars boost engagement over static content.
09:11 150-year-old language school using AI instructors.
11:58 100 stock avatars available for diverse needs.
16:48 Creating AI avatars for immersive, cinematic user experiences.
21:04 AI avatar with expressive eyebrows, achieving 7% lift.
23:13 Use AI avatars to boost website engagement.
26:59 AI avatars enable creators to enter new markets.
29:17 AI avatars should enhance, not replace, human roles.

Keywords:
AI avatars, tech news, minimal cost, content creation, digital channels, new products, business growth, new markets, language translation, multilingual content, AI ethics, OpenAI, Meta, Microsoft, deep fakes, generic stock avatars, custom avatars, cultural readiness, consistent communication, AI integration, Everyday AI, Jordan Wilson, Natalie Monbiot, Hour 1, learning and development, customer engagement, digital transformation, Amazon listings, scalable engagement, video production.

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Lean in for a secret. NotebookLM is probably the best tool Google has made since the search engine. We dish on what you need to know about NotebookLM, which we think will change how LLMs are built in the future.

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Topics Covered in This Episode:
1. Features of NotebookLM
2. NotebookLM vs Google Gemini
3. Benefits of NotebookLM
4. Use Cases for NotebookLM

Timestamps:
02:20 Daily AI news
07:15 NotebookLM recent updates
15:19 Upload and manage all document types easily.
19:38 RAG enhances AI by retrieving external information.
23:40 Notebook LM ensures grounded data usage only.
29:56 Research, notes, listen, transform to speech, review.
34:29 Google Gemini back-end good, front-end disappointing.
42:26 Notebook l m handles diverse information efficiently.
47:23 Great learning tool for students and professionals.
51:14 Quickly toggle document sources; folders needed.
56:15 Wildly popular, better received than Gemini model.
01:01:07 Web access crucial for large language models.

Keywords:
NotebookLM, AI tools, Google Gemini, data upload limit, AI bots, livestream audience engagement, content sharing, LinkedIn livestream, Everyday AI Podcast, Google account sign-in, data privacy, data scraping, Retrieval Augmented Generation (RAG), grounded model, Chat GPT, large language model, AI milestones, OpenAI Dev Day, Cerebras Systems IPO, Microsoft Copilot 2.0, Python, CSS, HTML coding projects, Notebook LM use case, source citation, data integration, AI overview feature, Deep Dive Podcast feature, Teaching Tools.

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Is ChatGPT's price going to double? Why did California's Governor veto the state's AI bill? What's new in Meta's Lllama 3.2? This week in AI news was quite literally nonstop. We'll answer those questions and more on our weekly AI news that matters show.

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Topics Covered in This Episode:
1. California AI Safety Bill
2. OpenAI Changes and Updates
3. Google Updates
4. Meta's New Models
5. FTC AI Regulations

Timestamps:
00:00 Governor Newsom vetoed California's stringent AI bill.
03:37 Influential figures warn of AI's severe risks.
08:25 Implementing the bill stifles innovation and economy.
12:40 OpenAI aims for $100B revenue by 2029.
15:52 Apple exits OpenAI funding round amid negotiations.
19:10 OpenAI faces significant leadership changes amid restructuring.
23:28 Meta's Llama models: open weights, not open source.
26:32 Microsoft launches AI Correction feature to enhance accuracy.
30:14 Google's Gemini AI now included in Workspace.
32:45 OpenAI restructuring to for-profit, boosting investor appeal.
35:19 Advanced voice mode now available to subscribers.
40:17 Advanced voice mode incompatible with comprehensive tasks.
42:28 Major executive departures, Meta unveils models, FTC crackdown.

Keywords:
AI Voice Assistants, AI response time, Advanced Voice Mode, California AI Safety Bill, SB 1047, Gavin Newsom, OpenAI, OpenAI price increase, Chat GPT Plus, Chat GPT Plus subscription, OpenAI financial projections, AI industry trends, Apple-OpenAI partnership, AI executive departures, non-profit to for-profit transition, Mira Muratai, AI industry regulation, AI misuse regulation, Meta Announcements, Llama 3.2 model, Meta Creator AI, AR Glasses, FTC Operation AI Comply, Microsoft AI Correction Feature, Google Gemini Integration, AI regulation debate, Everyday AI podcast, Jordan Wilson, Advanced Voice Mode in ChatGPT, AI accountability.

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Your retail strategy isn’t complete until AI is in the mix. Retail giants are harnessing the untapped power of AI—taking product pages from basic listings to profit machines. But are you missing out? We break down the real-world ways AI is changing the game for retailers everywhere with Bryan Gildenberg, Founder and CEO of Confluencer Commerce.

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Topics Covered in This Episode:
1. Current Commerce Ecosystem
2. AI in Retail
3. Potential Dangers of AI in Retail
4. Role of AI in Content Creation

Timestamps:
02:00 Daily AI news
05:10 About Bryan and Confluencer Commerce
08:04 Retail personalization backed by data has long existed.
12:51 Future of search and advertising with Gen AI.
15:53 Cracking TikTok's organic reach for big companies.
19:07 AI alleviates tedious tasks, improving consumer experiences.
22:11 AI might homogenize content; "artisanal content" emerging.
25:19 Data scientists are chefs; data engineers, food.
28:47 Identify user experience gap, assess commercial benefit.
32:32 AI: Solve specific problems, personalized, not tech problem.

Keywords:
AI in retail, Bryan Gildenberg, Jordan Wilson, AI R&D, future applications of AI, AI use cases, AI's impact on retail, AI's role in personalization, AI's role in content creation, training for AI, AI governance, AI responsibilities, AI's role in search, GenAI, AI in content creation, machine learning, AI in supply chain, AI in pricing, data engineering in AI, AI implementation, AI strategy for retail leaders, generative AI movement, traditional AI usage, AI competition, data requirements for AI, AI's role in customer experience, future of human-created content, dangers of AI in retail, impact of AI, AI and TikTok.

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Is the age of the specialist over? Maybe. Maybe not. Forget everything you thought you knew about expertise. Ian Beacraft, CEO of Signal and Cipher, says AI is flipping the script—putting generalists on par with specialists. We discuss how this shift is about to shake up the workforce.

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Topics Covered in This Episode:
1. Specialist vs. Generalist
2. Mid-Career Paradigm Shift
3. Career Adaptation and Learning
4. AI and Manual Knowledge Work

Timestamps:
02:05 Daily AI news
06:00 About Ian and Signal and Cipher
08:46 Scarce expertise creates bottlenecks, impacting generalists and specialists.
12:57 Machines enhance humans, especially like in chess.
16:26 Specialists refine data enhancing team productivity together.
17:54 Future involves multimodel systems with adaptive orchestration.
22:40 Smaller, skilled teams outperform traditional larger departments.
25:08 Automate specialists' tasks to focus higher-level work.
27:33 Future impacts of AI on specialist workloads
30:42 Find passion for meaningful, persistent tool use.

Keywords:
Expertise Bottleneck, Specialist vs. Generalist, Mid-Career Paradigm Shift, Adaptation and Learning, AI and Large Language Models, Manual Knowledge Work, Symbiotic Relationship, Introduction by Host Jordan Wilson, WorkLab by Microsoft, AI News Recap, Meta's Launch of Llama 3.2, OpenAI's Leadership Shakeup, Guest Ian Beacraft, CEO of Signal and Cipher, Live Audience Interaction, Encoding Knowledge, Specialists Spending Time, Value Creation and Generalists, Future Work Scenarios, Fragmentation of Business Models, Process Optimization, Adoption of AI Tools, Final Advice, Transition from Specialists to Empowered Generalists, Future of Specialist Roles, Change Management and AI Implementation, Paradigm Shift in Work Structures, Implications for Team Composition, Adapting Skills for the Future, Sponsorship Acknowledgment, Microsoft WorkLab Podcast.

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