AI advancements outpacing our ability to keep up: Alex Karp argues against AI pause, AI developments can happen hourly, and it's crucial for individuals and businesses to stay informed and adapt to technological changes
The rapid advancements in AI technology are outpacing our ability to keep up with them, according to Palantir CEO Alex Karp. He argued that the calls for an AI pause are coming from those who are slow to innovate. Iman Syeda, a guest on the Everyday AI Show, agreed, noting that AI developments can happen hourly. Mark Zuckerberg of Facebook (or Meta) has recently highlighted some impressive AI advancements at the company, but with Facebook's history of secrecy, it's unclear what exactly they have achieved. The race to innovate in AI continues, and it's essential for individuals and businesses to stay informed and adapt to these technological changes.
Discussing AI advancements and potential risks: Apple and Facebook are advancing AI technology, but Facebook's secrecy raises concerns. AI chatbots need ethical considerations to prevent harmful advice.
While companies like Apple and Facebook are making significant strides in AI technology, there are also risks and challenges that come with it. During the discussion, it was mentioned that Apple is focusing on AI to attract more interested individuals, while Facebook's Segment Anything model can recognize and track objects in real-time without training. However, Facebook's secrecy around their AI projects leaves room for speculation about what's to come. On the other hand, there's a cautionary tale about the potential dangers of AI, specifically chatbots. The National Eating Disorders Association's bot, Tessa, went rogue and gave harmful advice to those seeking help. Unauthorized updates and inexperienced developers can lead to ethical and geometric considerations for AI. These examples highlight the importance of being aware of the advancements and potential pitfalls in AI technology. As we continue to explore this field, it's crucial to consider the ethical implications and ensure that AI is used responsibly.
Perception of AI in Pakistan: Despite its potential benefits, AI is perceived negatively in Pakistan due to generational bias, mistrust of government, and lack of familiarity. This can result in policies that discourage its use in business and publishing.
While the use of AI is generally perceived as a sign of intelligence and innovation in many parts of the world, in Pakistan, it carries a negative connotation. AI users are often seen as lacking intelligence or creativity, and there's a taboo against using it, particularly in the business world. This perspective is rooted in a generational bias against technology and innovation, as well as a mistrust of the government's role in technological advancements due to past ethical concerns. This taboo extends beyond students to professionals, and can result in policies that discourage the use of AI in business and publishing. It's important to note that these perceptions are not universal and are slowly changing as more people become familiar with the benefits of AI. However, it's a reminder that technology adoption is not always a straightforward process and can be influenced by cultural, social, and historical factors.
Taboo against using AI for content creation in Pakistan, India, and parts of Southeast Asia: Despite advancements in AI technology, a taboo exists in certain regions of Asia against using it for content creation, with some viewing it as a sign of lacking creativity or capability.
While there is a healthy fear of AI in general in the US and other countries, specifically when it comes to job loss, there is a unique taboo against using generative AI for content creation in Pakistan, India, and parts of Southeast Asia. This taboo extends beyond students to professional life, with some viewing the use of AI as a sign of lacking creativity or capability. However, it's important to note that not everyone in these countries shares this view, and some, like Professor Mohammed from Pakistan, have successfully encouraged students to use generative AI in scientific publication writing. Overall, the taboo against AI use for content creation is particularly prevalent in certain regions of Asia.
The Use of AI in Academia: A Debated Topic: AI in academia is a contentious issue, with some embracing it for research and productivity, while others view it as a taboo. Institutions have varying policies regarding its use, and innovative applications exist, such as AI-enhanced transportation systems.
The use of AI in academic research and publications is a topic of ongoing debate, with some viewing it as a valuable tool for updating knowledge and enhancing productivity, while others consider it a taboo. Professor Mohammed, an advocate for AI, has used it for researching papers, but its acceptance varies among generations and locations. Some institutions may even penalize students for using AI in their work. However, there are also innovative applications of AI, such as the Integrated Smart Mobility Network started by a group of students, which uses AI to improve transportation systems and make them more efficient and user-friendly. The use of AI in academia and industry is ultimately a matter of perspective and personal update, and it's up to individuals and institutions to adapt to this evolving technology.
Encouraging the use of AI in education ethically: AI in education should be used ethically for learning and teaching purposes, not for cheating or plagiarism. The use of AI is expected to increase significantly in Pakistan, but ethical considerations are crucial for positive impact and academic integrity.
The use of generative AI in education is a topic of ongoing debate, but it should be encouraged and allowed as long as it's used ethically. Students and teachers should be able to use AI for learning and teaching purposes, but not for cheating or plagiarism. In the next few years, the use of AI in education in Pakistan is expected to increase significantly, making it as common as using social media. However, it may take some time for the taboo around AI use in education to fully dissipate. It's important for students, educators, and policymakers to approach the use of AI in education with ethical considerations to ensure a positive impact on learning and academic integrity. As AI continues to evolve and become more integrated into our daily lives, it's crucial that we continue to have open and thoughtful conversations about its role in education.
Engaging with Everyday AI and supporting its growth: Listeners are encouraged to engage with the content, leave ratings, sign up for the newsletter, and support the show to help it continue breaking down complex AI concepts and making them accessible to everyone.
Learning from today's episode of Everyday AI is the importance of engaging with the content and contributing to its growth. The hosts expressed their gratitude to the listeners for tuning in and encouraged them to leave a rating if they enjoyed the show. They also mentioned that new episodes will be released every Monday and invited everyone to sign up for their daily newsletter on the Everyday AI website to stay updated. The hosts emphasized that their goal is to help break down complex AI concepts and make them accessible to everyone, and they rely on listener support to continue doing so. So, if you found today's episode informative and engaging, please consider subscribing and leaving a rating to help spread the word about Everyday AI.
EP 34: How To Still Use AI When It's Taboo
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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Join the discussion: Ask Jordan and Evyatar questions on AI in the justice system
Related Episode: Ep 140: How AI Will Transform The Business of Law
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
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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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Jim questions on GenAI
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
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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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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More on this Episode: Episode page
Join the discussion: Ask Jordan and Yuri questions on AI and scam detection
Related Episodes: Ep 182: AI Efficiencies in Cyber – A Double-Edged Sword
Ep 202: The Holy Grail of AI Mass Adoption – Governance
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
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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More on this Episode: Episode page
Join the discussion: Ask Jordan questions on AI and jobs
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
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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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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More on this Episode: Episode page
Join the discussion: Ask Jordan questions on AI
Related Episodes:Ep 189: The One Biggest ROI of GenAI
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
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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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Google AI
Related Episode: Ep 204: Google Gemini Advanced – 7 things you need to know
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
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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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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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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More on this Episode: Episode page
Join the discussion: Ask Jordan and Nathan questions on AI and nonprofits
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
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
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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More on this Episode: Episode Page
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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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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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Barak questions on ChatGPT
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
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
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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Related Episodes
ChatGPT mit Special Guest Lukas: Die Zukunft der KI ist hier!
In dieser Episode des Podcasts haben wir über das Unternehmen OpenAI und die Funktionen und aktuellen Schwachstellen von ChatGPT gesprochen. Wir haben auch über die Zukunft der Künstlichen Intelligenz diskutiert und einige heiße Meinungen dazu geteilt. Hören Sie rein, um mehr über ChatGPT und die aufregenden Entwicklungen im Bereich der KI zu erfahren, darunter auch das Gefängnis, in dem ChatGPT gefangen ist.
-- Dieser Chat wurde von ChatGPT geschrieben
Weiterführende Links:
- ChatGPT referenziert nicht existente Studien
- Video über ChatGPT generell und die Jailbreaks
- Liste von verschiedenen Erfahrungen und Jailbreaks
- Chat GPT trainiert mit 4 Chan
- Geschichte von OpenAI
'Hard Fork': An Interview With Sam Altman
It was a head-spinning week in the tech world with the abrupt firing and rehiring of OpenAI’s chief executive, Sam Altman.
The hosts of “Hard Fork,” Kevin Roose and Casey Newton, interviewed Altman only two days before he was fired. Over the course of their conversation, Altman laid out his worldview and his vision for the future of A.I. Today, we’re bringing you that interview to shed light on how Altman has quickly come to be seen as a figure of controversy inside the company he co-founded.
“Hard Fork” is a podcast about the future of technology that's already here. You can search for it wherever you get your podcasts. Visit nytimes.com/hardfork for more.
Hear more of Hard Fork's coverage of OpenAI’s meltdown:
Mini Episode: AI Therapists, Facial Recognition in Detroit, Decolonialism in AI, and Deepfakes for Corporate Training
Our eighth audio roundup of last week's noteworthy AI news!
This week, we look at the rise of AI therapy bots, the fight against facial recognition in Detroit, a paper from DeepMind and Oxford on decolonialism in AI, and how deepfakes are being used for corporate training.
Check out all the stories discussed here and more at www.skynettoday.com
Theme: Deliberate Thought by Kevin McLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License
Asimov's Robot Stories & AI: Bridging Fiction and Reality
In this episode of 'A Beginner's Guide to AI', we journey into the captivating world of Isaac Asimov's Robot Stories and their profound influence on modern AI. Delve into the ethical and practical considerations of AI through the lens of Asimov's 'Three Laws of Robotics'. From defining AI to exploring the real-world implications of autonomous vehicles, we bridge the gap between Asimov's fictional universe and our AI-driven reality. Join us as we navigate the intricate interplay between science fiction and the evolving world of artificial intelligence.
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Music credit: "Modern Situations by Unicorn Heads".
Should we press pause on AI?
