AI's Impact on Entertainment Industry: Job Losses and Regulation: TV and movie industry faces potential job losses due to AI tools like OpenAI's SoRA, while Google makes headlines with AI advancements. Perry calls for regulation to protect livelihoods, underscoring the importance of staying informed about AI news.
AI is making waves in various industries, and its impact is being felt strongly in the entertainment sector. TV and movie mogul Tyler Perry has put his studio expansion on hold due to concerns about the potential impact of AI tools like OpenAI's video generating tool, SoRA, on the industry. Perry believes that AI could lead to job losses and is calling for regulation to protect livelihoods. Meanwhile, Google is making headlines with its AI advancements. These developments underscore the importance of staying informed about AI news and understanding how to use this information to get ahead in your career or business. Tune in to the Everyday AI Show every Monday for practical advice and insights on the world of generative AI. Don't miss out, sign up for the free daily newsletter at everydayai.com for more information.
AI Video Technology Disrupting Entertainment Industry, Thousands of Jobs at Risk: AI video technology, specifically OpenAI's Sora, is causing concern in the entertainment industry due to its superior quality and potential job losses. California anticipates 62,000 jobs being affected.
The advancements in AI video technology, specifically OpenAI's Sora, are causing significant concern in the entertainment industry. Tyler Perry, a prominent figure in the industry with a large studio in Atlanta, has paused expansion plans due to the outstanding quality and potential job loss. The impact on employment is expected to be substantial, with California anticipating 62,000 jobs affected. OpenAI's Sora, which is currently only accessible to a select group, outperforms existing AI video platforms significantly. It allows for the creation of one minute of video, while competitors offer only a few seconds. The comparison between Sora and the leading publicly available platform, Runway, highlights the stark difference in quality. Once Sora becomes publicly available, it may become the go-to choice for video creation. This disruptive technology underscores the need for businesses and industries to adapt and innovate in response to AI advancements.
Impact of AI on Entertainment Industry: Tyler Perry halts expansion, Disney invests in AI, Sora generates human-like outputs, text-to-speech advancements, significant shift in entertainment landscape
The entertainment industry is experiencing significant disruption due to advancements in artificial intelligence (AI) and autonomous generative models like Sora. Tyler Perry's decision to pause a nearly $1 billion expansion in response to Sora's capabilities underscores the potential impact on jobs and the ability for smaller creators to produce high-quality content with minimal resources. Disney is also investing heavily in AI, as evidenced by their Disney Accelerator program, which has brought on three AI companies this year. One of these, 11 Labs, is a text-to-speech platform producing realistic human-like outputs, causing many to question the future of the industry. These advancements go beyond just video and extend to AI's potential impact on areas like text-to-speech, marking a significant shift in the entertainment landscape.
Advancements in AI-generated voices and videos: AI-generated voices and videos are becoming indistinguishable from human-produced content, with Sora AI's technology leading the way. OpenAI's decision to phase out ChatGPT plugins may cause short-term productivity losses.
The quality of AI-generated voices and videos is rapidly improving to the point where it's becoming increasingly difficult to distinguish them from human-produced content. This was emphasized during the discussion about Sora AI's video and text-to-speech technology. Another significant development in the AI world is OpenAI's decision to phase out ChatGPT plugins. This means that as of March 19, 2023, users will no longer be able to create new chats with plugins, and existing chats with plugins will stop working on April 9, 2023. This could lead to a short-term loss of productivity for businesses and individuals who have integrated plugins into their workflows. The impact of these developments underscores the rapid advancements in AI technology and the increasing integration of AI into various aspects of our lives.
Adapting to Current AI Capabilities: Making the Most of ChatGPT and Anticipating Future Developments: While ChatGPT has limitations in working with multiple models simultaneously, adapting through courses like PPP and data sharing deals like Google's with Reddit can maximize its potential. Stay updated on future developments.
While you can train and use individual text-based AI models like ChatGPT effectively, there's currently a limitation in working with multiple models simultaneously within the same prompt. This means that business productivity, especially for those who heavily rely on plugins for automation, may experience a setback. For instance, you can't have a plugin scrape a website, create a PowerPoint presentation, and have Zapier enable these three plugins to work together autonomously, as you can with other tools. However, OpenAI is reportedly working on AI agents and assistants, which may change this limitation in the future. In the meantime, it's essential to adapt and make the most of the current capabilities, such as the Prime Prompt Polished (PPP) course, which focuses on improving your priming, prompting, and polishing skills to get the best results from ChatGPT. Another significant piece of AI news is that Google has signed a $60,million annual deal with Reddit, allowing Google to use Reddit posts for training its AI models, such as the Gemini AI model, to improve Google search. This deal underscores the growing importance of data sharing and collaboration in advancing AI technology. Stay tuned for more updates on these and other AI-related developments.
Google and Reddit Partner to Improve AI Services: Google uses Reddit posts to train AI models, enhancing services like Google's AI chatbot, Gemini. Reddit gains access to Google's AI models to improve site search. Both benefit from high-quality data and set a precedent for AI data acquisition.
Google and Reddit have entered into a partnership, allowing Google to use Reddit posts to train its AI models and improve services like Google's AI chatbot, Gemini. In return, Reddit will have access to Google's AI models to enhance its internal site search. This deal benefits both parties, particularly for Google, as Reddit has become a significant source of information and outranks search engines like Google and Microsoft in many queries. Reddit's timely IPO announcement makes this partnership especially valuable. The deal sets a precedent for obtaining data for AI models and highlights the importance of high-quality data for improving AI services. Despite criticisms of Google's Gemini chatbot, this partnership represents a significant investment in improving AI technology and access to valuable data. This partnership is significant for the advancement of generative AI and large language models, as the availability of quality data is crucial for creating effective and accurate AI models. Additionally, the partnership could potentially lead to improvements in internet browsing, as users increasingly turn to platforms like Reddit for information rather than traditional search engines. Overall, this partnership represents a significant step forward in the development of AI technology and the use of data to improve AI services.
Google's partnership with Reddit could reshape large language models: Google's deal with Reddit may lead to larger contracts for AI firms or lawsuits, while Reddit's user-generated content offers cost-effectiveness. Google temporarily shuts down its AI image generator and universities sell student data, raising concerns about data ownership and control.
The recent exclusive partnership between Google and Reddit could significantly impact the data landscape in the world of large language models. The agreement might lead to larger deals for Reddit with companies like Anthropic and OpenAI, or potential lawsuits due to the difficulty and expense of untraining models from Reddit data. This partnership highlights the user-generated nature of Reddit and its potential cost-effectiveness compared to other content providers. Meanwhile, Google has temporarily shut down its AI image generator, Imagine 2. This news comes as universities increasingly sell their student and research data to tech companies. The implications of these developments for data ownership and control are significant and will likely be topics of ongoing discussion.
Google's AI tool, Gemini, paused due to bias concerns: Google's AI tool, Gemini, was paused due to producing historically inaccurate images, highlighting ongoing challenges in AI industry for bias and inclusivity. Google introduced a new model, JEMMA, for responsible AI development.
Google's AI tool, Gemini, which generates images, has been paused from creating pictures of people due to concerns over bias and inaccuracy. The tool was found to produce historically inaccurate images that were more inclusive, but not representative of historical facts. For instance, when asked to generate an image of a pope, the tool produced images of non-white individuals, despite every historical pope being a white male. This issue highlights the ongoing challenge in the AI industry to avoid bias and promote inclusivity. The industry is grappling with these issues, and it's not clear how to find a middle ground. Google has introduced a new lightweight open model named JEMMA, which is designed for responsible AI development. However, there is confusion over the capabilities and differences between the various Google models, making it important for individuals and organizations to stay informed about these developments. The pause on Google Gemini's image generation capability is not the only Google news, but it is a significant development in the ongoing conversation about AI bias and inclusivity.
Google's chatbot offering, Gemini, now comes in three versions: Ultra, Pro, and Nano: Google's chatbot, Gemini, now offers three versions: Ultra, Pro, and Nano. Ultra and Pro are for cloud use, while Nano is a smaller, downloadable version for local use or the cloud.
Google's chatbot offering, Gemini, now comes in three different models: Gemini Ultra, Gemini Pro, and Gemini Nano. Previously, the paid version allowed users to toggle between Gemini Ultra and Gemini Pro, but now, with the enterprise version, there's just Gemini. The free version presumably uses Gemini Pro, and paid versions use Gemini Ultra. Gemini Nano, on the other hand, is a new edge AI model designed for specific devices, making it faster and more secure. It's a smaller version of Gemini, made for local use, and can be downloaded and run locally or in the cloud. Google's latest model, JEMMA, is also a smaller, downloadable version, but it's specifically made for developers. With all these changes, it's essential to understand which version of Gemini you're using and its implications for performance, security, and functionality. If you have any thoughts on the most impactful AI news this week, feel free to reach out via email or LinkedIn. Cecilia asked about the best text-to-speech AI, and while we didn't discuss it extensively during the episode, we did mention 11 Labs entering Disney's AI accelerator program, and they specialize in text-to-speech technology. Stay tuned for more updates on the ever-evolving world of AI.
Disney's 11 Labs leads in text-to-speech, but copyrighted content remains uncertain: Disney's 11 Labs is currently the top choice for text-to-speech technology, but the future of AI-generated copyrighted content like movies is uncertain as companies like OpenAI and SoRaa work on their own models under strict policies and closed access.
Disney's 11 Labs text-to-speech platform is currently leading the way in publicly available advanced models, making it a top choice for those in need of text-to-speech technology. However, the future of AI-generated copyrighted content, such as movies, remains uncertain. Companies like OpenAI and SoRaa are working on their own models, but the production and release of copyrighted materials are currently under strict policies and closed access. The potential for AI-generated copyrighted content is a significant development in the AI industry, and it's worth keeping an eye on as these models become more advanced and widely available. If you find the AI news discussed in this podcast helpful, please consider sharing it with your network. Sign up for the Everyday AI newsletter for more insights on the latest AI news and trends.
7 steps to effectively use chat GPT in 2024: Learn the basics to advanced techniques for effectively using chat GPT in 2024, with a focus on the latest updates and applications for business growth and career advancement.
In today's world where AI startups are becoming increasingly common, it's essential to go beyond just adding AI to your product to truly stand out. Tivo, the CTO of Taplio, will be sharing insights on this topic during an upcoming episode of Everyday AI. This episode is expected to be one of the biggest shows ever, with a focus on the 7 steps to effectively use chat GPT in 2024. The most popular podcast episode on this topic was from May, and since then, many updates have been made, making it crucial for those interested in growing their company or career with chat GPT to tune in. Whether you're new to chat GPT or an advanced user, this show is for you, and it will cover everything from the basics to advanced techniques. Be sure to join us on Wednesday for this informative episode, and don't forget to subscribe and leave a rating to help support the show. For more AI-related content, visit everydayai.com and sign up for the daily newsletter to stay informed and ahead of the curve.
EP 215: OpenAI kills plugins, Tyler Perry stalls $800 million expansion due to AI and more AI News That Matters - Feb. 26th, 2024
Recent Episodes from Everyday AI Podcast – An AI and ChatGPT Podcast
EP 284: Building A Human-Led, AI-Enhanced Justice System
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When we talk about AI, it's always about efficiency, more tasks, more growth. But when it comes to the legal system, can AI help law firms with impact and not just efficiency? Evyatar Ben Artzi, CEO and Co-Founder of Darrow, joins us to discuss how AI can enhance the legal landscape.
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Related Episode: Ep 140: How AI Will Transform The Business of Law
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Use of generative AI in the legal system
2. Use of LLMs in the legal system
3. AI's impact on efficiency in the legal industry
Timestamps:
01:20 Daily AI news
04:35 About Evyatar and Darrow
06:16 Challenges accessing information for lawyers
09:27 AI efficiency movement is responsible for workload.
10:24 AI revolutionizing legal world for success.
16:51 Efficiency affects law firm's ability to bill.
21:30 Improving mental health in legal profession with agility.
26:55 Loss of online communities raises concerns about memory.
27:58 Law firms pursuing right to be remembered.
Keywords:
Generative AI, Legal System, Impact, Efficiency, AI News, Perplexity AI, Ultra Accelerator Link, NVIDIA, Apple, OpenAI, Siri, GPT Technology, Evyatar Ben Artzi, Darrow, Justice Intelligence Platform, Case Analysis, Herbicides, Pesticides, Cancer Rates, Large Language Models, ChatGPT, Right to be Remembered, Internet Deletion Practices, Fortune 500 Companies, Legal Industry, Billable Hours, Strategic Thinking, Legal Development, Mental Health, Multiverse in Law.
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EP 283: WWT's Jim Kavanaugh GenAI Roadmap for Business Success
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Businesses are working out how to use GenAI in the best way. One company that's acing it? World Wide Technology. WWT's CEO, Jim Kavanaugh, is sharing their plan for implementing GenAI into business smoothly.
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Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins
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Topics Covered in This Episode:
1. Impact of Generative AI
2. Role of GenAI in World Wide Technology
3. AI Adoption for Business Leaders
4. Large Language Models and AI Impact
5. Challenges in the Generative AI Space
6. Organization Culture and AI Implementation
Timestamps:
01:30 About WWT and Jim Kavanaugh
06:59 Connecting with users for effective AI.
10:06 Advantage of working with NVIDIA for digital transformation.
13:10 Discussing techniques and client example.
18:35 CEOs implementing AI, seeking solutions.
20:46 Creating awareness, training, and leveraging technology efficiently.
25:27 AI increasingly important, impacts all industries' outcomes.
27:18 Use secure, personalized language models for efficiency.
32:32 Streamlining data access for engineers and sales.
35:42 CEOs need to prioritize technology and innovation.
37:02 NVIDIA is the game-changing leader.
Keywords:
generative AI, challenges of AI implementation, Jim Kavanaugh, CEO, Worldwide Technology, digital transformation, value-added reseller, professional services, comprehensive solution, AI strategies, NVIDIA, OpenAI's ChatGPT, large language models, GenAI, Advanced Technology Center, data aggregation, real-time data access, intelligent prompts, business leaders, AI technologies, data science, Jensen and NVIDIA, multimodal languages, AI-first organization, financial performance, go-to-market strategies, software development efficiency, RFP process
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EP 282: AI’s Role in Scam Detection and Prevention
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If you think you know scammers, just wait.
↳ Voice cloning will fool the best of us.
↳ Deepfakes are getting sophisticated.
↳ Once-scammy emails now sound real.
How can AI help? In a lot of ways. Yuri Dvoinos, Chief Innovation Officer at Aura, joins us to discuss AI's role in scam detection and prevention.
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Related Episodes: Ep 182: AI Efficiencies in Cyber – A Double-Edged Sword
Ep 202: The Holy Grail of AI Mass Adoption – Governance
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Sophistication of AI in Scams
2. Countermeasures to Combat AI Scams
3. Deepfakes and Their Increasing Prevalence
Timestamps:
01:20 Daily AI news
04:45 About Yuri and Aura
07:32 Growing impact of impersonation and trust hacking.
12:35 Consumer app with state-of-the-art protection.
13:48 New technology scans emails to protect users.
19:36 Need for awareness of sophisticated multi-platform scams.
20:33 Be cautious of potential multichannel scams
26:44 Scams are getting sophisticated, AI may worsen.
30:05 Different organizations need varying levels of security.
31:25 Deepfakes raise concerns about truth and trust.
34:47 It's hard to detect scam communication online.
Keywords:
AI Scams, Jordan Wilson, Yuri Dvoinos, Deepfakes, AI Technology, Verification System, Online Interactions, Cyberattacks, Business Security, Scam Detection, Communication Channel Verification, Language Models, AI impersonation, Small Business Scams, Scammer Automation, Aura, Message Protection Technology, Call Analysis, Email Scanning, Voice Synthesizer Technology, Multichannel Scams, 2FA, Cybersecurity Training, Digital Trust, Cybersecurity, Sophisticated Corporate Scams, OpenAI, NVIDIA, Aura Cybersecurity Company, Online Safety.
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EP 281: Elon Musk says AI will make jobs 'optional' – Crazy or correct?
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Will AI make jobs... optional? Elon Musk seems to think so. His comments struck a chord with some. And rightfully so. As polarizing as Elon Musk can be, does he have a point? Let's break it down.
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Related Episodes: Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters
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Topics Covered in This Episode:
1. Elon Musk's statement and its implications
2. Future of work with AI advancements
3. AI's impact on human purpose and employment
4. Job displacement and AI investment over human employment
Timestamps:
01:40 Daily AI news
07:47 Exploring the implications of generative AI.
10:45 Concerns about AI impact on future jobs
13:20 Elon Musk's track record: genius or random?
17:57 Twitter's value drops 72% to $12.5B.
22:34 Elon Musk predicts 80% chance of job automation.
25:54 AI advancements may require universal basic income.
29:03 AI systems rapidly advancing, surpassing previous capabilities.
32:11 Bill Gates worries about AGI's misuse.
35:04 AI advancements foreshadowing future efficiency and capabilities.
39:42 Ultra-wealthy and disconnected elite shaping AI future.
43:32 AI will dominate future work, requiring adaptation.
46:19 US government may not understand future of work.
Keywords:
Elon Musk, AI, XAI, funding, chatbot, Grok, OpenAI, legal battle, Apple, Siri, integration, core apps, model, capabilities, safety, speculation, future, work, Tesla, market cap, value, investor sentiment, vision, promises, performance, Viva Tech, conference, robots, job market, society, purpose.
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EP 280: GenAI for Business - A 5-Step Beginner's Guide
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Everyone is trying to wrap their heads around how to get GenAI into their business. We've had chats with over 120 experts and leaders from around the globe, including big companies, startups, and entrepreneurs. We're here to give you the lowdown on how you can start using GenAI in your business today.
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Related Episodes:Ep 189: The One Biggest ROI of GenAI
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. AI in Business
2. Implementing AI
3. AI Guidelines and Guardrails
4. Practical Application of AI
Timestamps:
02:00 Daily AI news
06:20 Experienced in growing companies of all sizes
11:45 AI not fully implemented yet
19:13 Generative AI changing workforce dynamics, impact discussion.
21:32 Rapidly adapt to online business, seek guidance.
31:19 AI guardrails and guidelines
34:25 Companies overcomplicating generative AI, driven by peer pressure.
37:45 Focus on measurable impact in AI projects.
45:17 Leverage vendors and experts for AI education.
51:48 AI may replace jobs - plan for future.
54:48 Ethical AI implementation involves human and AI cooperation.
01:00:42 Culmination of extensive work to simplify generative AI.
Keywords:
AI training, Employee education, Generative AI tools, Communication skills, Job displacement, AI implementation, Business ethics, AI in business, Guidelines for AI, Data Privacy, AI statistics, Transparency in AI, Bottom-up approach, AI impact on work, Everyday AI Show
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EP 279: Google’s New AI Updates from I/O: the good, the bad, and the WTF
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Did Google say 'AI' too many times at their I/O conference? But real talk – it's hard to make sense of all of Google's announcements. With so many new products, updated functionality, and new LLM capabilities, how can you make sense of it all? Oh.... that's what we're for.
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Related Episode: Ep 204: Google Gemini Advanced – 7 things you need to know
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Topics Covered in This Episode:
1. Google's Updates and Announcements
2. Google AI Evaluations
3. Concerns Over Google's AI Development and Marketing
Timestamps:
01:30 Daily AI news
05:30 What was announced at Google's I/O
09:31 Microsoft and Google introduce AI for teams.
12:38 AI features not available for paid accounts.
16:12 Doubt Google's claims about their Gemini model.
19:26 Speaker live-drew with Pixel phone, discussed code.
22:24 Exciting city scene, impressive Vio and Astra.
24:44 Gems and GPTs changing interactions with language models.
29:26 Accessing advanced features requires technical know-how.
33:45 Concerns about availability and timing of Google's features.
36:14 Google CEO makes joke about overusing buzzwords.
41:06 Google Gems: A needed improvement for Google Gemini.
41:50 GPT 4 ranks 4th behind Windows Copilot.
Keywords:
Google IO conference, AI updates, NVIDIA revenue growth, Meta acquisition, Adapt AI startup, OpenAI deal, News Corp, Project Astra, Gemini AI agent, Gemini 1.5 pro, Ask photos powered by Gemini, Gemini Nano, Android 15, GEMS, Google AI teammate, Microsoft team copilot, Google Workspace, Google search, Veo, Imagine 3, Lyria, Google's AI music generator, Wyclef Jean, Large language models, GPT 4.0, Google Gemini, AI marketing tactics, Deceptive marketing, Discoverability issues, Branding issues.
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EP 278: Microsoft Build AI Recap - 5 things you need to know
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To end a week-ish full of AI happenings, Microsoft has thrown all kinds of monkey wrenches into the GenAI race. What did they announce at their Microsoft Build conference? And how might it impact you? Our last takeaway may surprise you.
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Topics Covered in This Episode:
1. Microsoft Build Conference Key AI Features
2. Microsoft Copilot Updates
3. On-device AI and its future
Timestamps:
01:50 Startup Humane seeks sale amid product criticism.
09:00 Using Copilot increases latency and potential errors.
11:15 Copilot changing work with edge AI technology.
13:51 Cloud may be more secure than personal devices.
19:26 Recall technology may change required worker skills.
20:24 Semantic search understands context, improving productivity.
28:41 Impressive integration of GPT-4 in Copilot demo.
31:41 New Copilot technology changes how we work.
36:13 Customize and deploy AI agent to automate tasks.
38:08 Uncertainty ahead for enterprise companies, especially Apple.
46:09 Recap of 5 key announcements from build conference.
Keywords:
Microsoft CEO, Satya Nadella, Copilot stack, personal Copilot, team's Copilot, Copilot agents, Copilot Studio, Apple ecosystem, enterprise companies, Microsoft Teams, OpenAI, Jordan Wilson, Microsoft Build Conference, edge AI, Copilot Plus PC, recall feature, gpt4o capabilities, iPhone users, AI technology, data privacy and security, GPT 4 o desktop app, AI systems, recall, mainstream AI agents, Humane AI, Scarlett Johansson, ChatGPT, Anthropic Claude, COPilot Studio Agent, Microsoft product.
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EP 277: How Nonprofits Can Benefit From Responsible AI
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Generative AI offers significant benefits to nonprofits. What obstacles do they encounter, and how can they utilize this innovative technology while safeguarding donor information and upholding trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to explore the responsible use of AI in the nonprofit sector.
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Related Episodes:
Ep 105: AI in Fundraising – Building Trust with Stakeholders
Ep 148: Safer AI – Why we all need ethical AI tools we can trust
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Website: YourEverydayAI.com
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Timestamps:
01:50 About Nathan and DonorSearch AI
05:52 Decreased charity giving, AI aids nonprofit efficiency.
09:39 AI enhances nonprofit efficiency, prioritizes human connections.
13:35 Nonprofits need to embrace AI for advancement.
16:22 Use AI to create engagement stories, scalable.
18:59 Internet equalized access to computing power.
25:02 Nonprofits rely on trust, need responsible AI.
29:52 Ensuring trust and accountability in generative AI.
33:35 AI is about people leveling up work.
34:16 Daily exposure to new tech terms essential.
Topics Covered in This Episode:
1. Impact of Generative AI for Nonprofits
2. Digital Divide in Nonprofit Sector
3. Role of Trust in Nonprofits and responsible AI usage
4. Traditional Fundraising vs. generative AI
5. Future of AI in Nonprofits
Keywords:
Nonprofits, generative AI, ethical use of AI, Jordan Wilson, Nathan Chappell, DonorSearch AI, algorithm, gratitude, machine learning, digital divide, AI employment impact, inequality, LinkedIn growth, Taplio, trust, Fundraising AI, responsible AI, AI explainability, AI accountability, AI transparency, future of nonprofits, AI adaptation, predictive AI, personalization, data for donors, generosity indicator, precision and personalization, AI efficiency, human-to-human interaction, AI tools.
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EP 276: AI News That Matters - May 20th, 2024
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OpenAI and Reddit’s data partnership, will Google’s AI plays help them catch ChatGPT, and what’s next for Microsoft? Here's this week's AI News That Matters!
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Topics Covered in This Episode:
1. Key Partnerships and Deals in AI
2. Google's New AI Developments
3. Microsoft's Upcoming Developer Conference
4. Apple's Future AI Implementation
Timestamps:
02:00 Reddit partners with OpenAI for AI training, content.
04:28 Large companies lack transparency in model training.
06:58 Reddit becoming preferred search over Google, value in partnerships.
12:08 OpenAI announced GPT 4 o and new feature.
14:48 Google announced live smart assistance, leveraging AI.
18:19 Customize data/files, tap into APIs, virtual teammate.
21:06 Impressed by Google's new products and features.
26:33 Apple to use OpenAI for generative AI.
29:08 Speculation around AI safety, resignation raises questions.
32:22 Concerns about OpenAI employees leaving is significant.
34:20 Google and Microsoft announce AI developments, drama at OpenAI.
Keywords:
Jan Leakey, smarter than human machines, Reddit, OpenAI, data deal, model training, Google, AI project Astra, Microsoft's Build developer conference, AI developments, Apple partnership, safety concerns, everydayai.com, Ask Photos, Gemini Nano, Android 15, AI powered search, Gemini AI assistant, Google AI teammate, Microsoft developer conference, Copilot AI, AI PCs, Intel, Qualcomm, AMD, Seattle, Jordan Wilson, personal data, Reddit partnership, Google IO conference.
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EP 275: Be prepared to ChatGPT your competition before they ChatGPT you
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If you're not gonna use AI, your competition is. And they might crush you. Or, they might ChatGPT you. Barak Turovsky, VP of AI at Cisco, gives us the best ways to think about Generative AI and how to implement it.
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Related Episodes: Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs
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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Large Language Models (LLMs) and Business Competitiveness
2. Understanding LLMs for Small to Medium-Sized Businesses
3. Use Cases and Misconceptions of AI
4. Data Security and Privacy
Timestamps:
01:35 About Barak and Cisco
05:44 AI innovation concentrated in big tech companies.
07:14 Large language models can revolutionize customer interactions.
12:01 ChatGPT fluency doesn't guarantee accurate information.
13:41 Considering use cases over two dimensions
18:16 OLM is good fit for specific industries.
21:17 Emphasizing the importance of large language models.
23:20 Maintaining control over unique AI model elements.
28:50 Questioning the data use in large models.
31:27 Barak discusses leveraging AI for various use cases.
33:50 Industry leader shared great insights on AI.
Keywords:
AI, Large Language Models, Jordan Wilson, Barak Turovsky, Cisco, Google Translate, Transformer Technology, Generative AI, Democratization of Access, Customer Satisfaction, Business Productivity, Business Disruption, Internet Search, Sales Decks, Scalable Businesses, Fluency-Accuracy Misconception, AI Use Cases, Data Privacy, Data Security, Model Distillation, Domain-Specific AI Models, Small AI Models, Gargantuan AI Models, Data Leverage, AI for Enterprises, Data Selling, Entertainment Use Case, Business Growth, Professional Upskilling, AI Newsletter.
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