Эпизоды
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Apple’s new AI paper says advanced AI thinking is an "illusion."
Is this a groundbreaking scientific discovery?
Or is it a cynical, weaponized piece of marketing dropped the weekend before WWDC to hide the fact that Apple is catastrophically behind in the AI race?
We read the paper so you don't have to.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
Apple's Viral Illusion of Thinking PaperCritique of Apple's AI Research MethodologyApple's AI Deception and Flawed LogicStrategic Corporate Propaganda in AI ResearchApple's $2 Trillion AI Market LossAI Reasoning Models Tool Use RestrictionsTower of Hanai and Token LimitationsApple Research's Industry Skepticism StrategyTimestamps:
00:00 Daily AI Insights & Growth04:32 "Evaluating AI: Illusion of Thinking"
08:30 "Apple's AI Papers: $2 Trillion Dilemma"
11:23 Apple's Missed $2 Trillion Opportunity
15:06 Apple's AI Oversight: Massive Blunder
18:55 PhD AI Research: Industry Influence
21:43 Apple Challenges AI Test Validity
26:15 AI Model Testing Complexity
29:16 "The Challenge of Complex Puzzles"
33:10 AI Testing Limits: A Designed Failure
36:45 Questioning Study Methodology
37:54 iPhone SOS Satellite Test Fails
41:29 Flawed Report Undermines Credibility
46:18 "Corporate Strategy Masked as Research"
50:25 Apple's Controversial Stance on Research
Keyword:
Apple's illusion of thinking, Apple's AI research paper, AI reasoning models, large reasoning models, strategic deception, cherry picked science, weaponized research, flawed logic, cherry picked testing, all or nothing grading, Apple's marketing tactics, Apple vs. Microsoft, Apple's AI failures, WWDC conference, Apple's intelligence, Ajax model, Apple's AI spending, Apple's competition, generative AI, Microsoft, Google, OpenAI, code usage restriction, token output limits, reasoning collapse, AI's reasoning limitations, Tower Of Hanai, reasoning lab, Claude 3.7 SONNET, DeepSeek, thinking models, chain of thought processing, corporate propaganda, premeditated media strike, fear, uncertainty, doubt, strategic media strike, data contamination, Apple's research credibility, research methodology, scientific integrity.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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↳ Why is Anthropic in hot water with Reddit?
↳ Will OpenAI become the de facto business AI tool?
↳ Did Apple make a mistake in its buzzworthy AI study?
↳ And why did Google release a new model when it was already on top?
So many AI questions. We’ve got the AI answers.
Don’t waste hours each day trying to keep up with AI developments.
We do that for you on Mondays with our weekly AI News That Matters segment.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
OpenAI's Advanced Voice Mode UpdateReddit's Lawsuit Against AnthropicOpenAI's New Cloud ConnectorsGoogle's Gemini 2.5 Pro ReleaseDeepSeek Accused of Data SourcingAnthropic Cuts Windsurf Claude AccessApple's AI Reasoning Models StudyMeta's Investment in Scale AITimestamps:
00:00 Weekly AI News Summary04:27 "Advanced Voice Mode Limitations"
09:07 Reddit's Role in AI Tensions
10:23 Reddit's Impact on Content Strategy
16:10 "RAG's Evolution: Accessible Data Insights"
19:16 AI Model Update and Improvements
22:59 DeepSeek Accused of Data Misuse
24:18 DeepSeek Accused of Distilling AI Data
28:20 Anthropic Limits Windsurf Cloud Access
32:37 "Study Questions AI Reasoning Models"
36:06 Apple's Dubious AI Research Tactics
39:36 Meta-Scale AI Partnership Potential
40:46 AI Updates: Apple's Gap Year
43:52 AI Updates: Voice, Lawsuits, Models
Keywords:
Apple AI study, AI reasoning models, Google Gemini, OpenAI, ChatGPT, Anthropic, Reddit lawsuit, Large Language Model, AI voice mode, Advanced voice mode, Real-time language translation, Cloud connectors, Dynamic data integration, Meeting recorder, Coding benchmarks, DeepSeek, R1 model, Distillation method, AI ethics, Windsurf, Claude 3.x, Model access, Privacy and data rights, AI research, Meta investment, Scale AI, WWDC, Apple's AI announcements, Gap year, On-device AI models, Siri 2.0, AI market strategy, ChatGPT teams, SharePoint, OneDrive, HubSpot, Scheduled actions, Sparkify, VO3, Google AI Pro plan, Creative AI, Innovation in AI, Data infrastructure.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Пропущенные эпизоды?
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Your CFO just lost sleep over a single missing penny... again.
Here's the thing about finance teams: they'll hunt for days to find ONE CENT that's off in their books. Because in accounting, even 98% accuracy = complete failure.
So when it comes to your company's finances and AI, there's a HUGE elephant in the room: trust.
Sage is changing the conversation around AI, trust and your books.
Sage is a global leader in cloud-based accounting, financial management, and business management solutions.
Sage CTO Aaron Harris joins the Everyday AI show to show us the new recipe for trust they're cooking up.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Trust Issues with Financial AccuracySage's 7-Billion Parameter Model TrainingSage Copilot's Accounting AI AccuracyTransparent Trust Labels in AI UsageFinancial Leaders' Trust in Sage's AISage's AI Factory Safety MeasuresSage's Industry Collaboration for AI AccuracyAI Implementation Strategy in AccountingTimestamps:
00:00 AI Trust and Business Accuracy03:08 CFO's Role in Trust Building
08:14 "Leveraging AI for Financial Growth"
12:23 "Enhancing AI Trust in Finance"
15:56 Early Machine Learning Infrastructure Pioneers
17:53 "Sage AI Factory Overview"
22:48 AI Transparency and Data Safety
24:12 "Trust Label Eases Customer Evaluations"
26:55 "Insights on AI and Industry"
Keywords:
AI trust, 98% accuracy, business leaders, Sage Future Conference, Atlanta, trust in AI, Sage Copilot, accounting software, global software company, Newcastle, North America headquarters, CFO, finance team, financial reports, forecast, budgets, credibility, financial accuracy, creative accounting, large language models, CHAT GPT, task-based AI, accounts payable automation, invoice reading, data science, AI development, neural models, conversational interface, GPT billions of predictions, generative AI, deterministic AI, billions of documents, fine-tuned models, accounting expertise, AICPA partnership, AI factory, automated machine learning, observability, model drift, hallucination detection, Sage AI factory, industry trust signals, safety mechanisms, customer by customer basis, Sage trust label, transparency labels, trustworthiness, ethical AI, responsible AI, AI safety, AI innovation, industry standards, problem-solving, financial trustwortSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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AI makes us all more productive.... so why isn't revenue soaring?
That's the AI Productivity Paradox.
↳ Does that mean GenAI doesn't work?
↳ Or do we all collectively stink at measuring GenAI ROI?
↳ Or are employees just pocketing that time savings?
Faisal Masud is a tech veteran with answers. He's the President of HP Digital Services, and he's going to help us solve the AI Productivity Paradox.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Productivity Paradox ExplainedHybrid Work's AI Integration ChallengesGenerative AI Impact on Large EnterprisesRaising Productivity Expectations in AI EraAI Tools vs. Traditional Employment RolesEffective AI Policy Implementation in EnterprisesBuilding Internal AI Capabilities StrategyInsights from AI-Based Easy Button HistoryTimestamps:
00:00 "Your Daily AI Insight Hub"03:43 Workforce Experience Platform Overview
07:46 High Hiring Bar Enhances Productivity
10:31 Enterprise Productivity Lag with GenAI
15:53 AI Integration in Workflows
19:01 Raising Expectations in Tech Management
21:57 Hiring for Future-Ready Roles
25:23 Staples' Innovative "Easy Button" Strategy
27:22 Less is More for Success
Keywords:
AI productivity paradox, generative AI, productivity improvements, employee experience, HP Digital Services, hybrid work, employee productivity, generative AI wave, AI tools, workforce experience platform, AI PCs, employee sentiment data, hybrid work challenges, generative AI boom, overemployment, AI policy, large enterprises, business leaders, remote work, Microsoft Copilot, improved productivity, customer experience, agentic workflows, AI-enabled tasks, augmented roles, future of work, AI solutions, digital transformation, management challenges, augmented society, productivity metrics, less is more approach, efficient work processes.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Stop what you're doing and read this 👇
↳ Claude just dropped something new that slipped under the radar.
↳ Other companies have been working on it for a bit as well.
↳ This is the future of knowledge work.
↳ So you should learn now.
↳ Join us to find out what it is.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
New Claude Feature: Deep Research ModeImpact on Knowledge Work & IntegrationClaude's Research and Integrations RolloutTool Use and AI Agentic CapabilitiesLive Demo of Claude's FeatureUse Cases for Research IntegrationsIntegration with Google Workspace & AppsAnalyze Business Knowledge with ClaudeTimestamps:
00:00 "Claude's Game-Changing New Feature"04:42 "Claude's $20 Plan Limitations"
06:28 Claude's Deep Research Tool Expansion
10:41 "Gemini 2.5 Pro Update Preview"
12:42 "New Integrations in Claude"
17:48 "Creating AI Agent Mashups"
20:48 Deep Research Progress Update
25:51 Inefficiency of Manual Data Retrieval
28:08 "Exciting MCP and Zapier Integration"
31:27 "Plan and Pilot AI Initiatives"
32:59 Interactive Learning and Feedback
39:20 Checking AI-Generated Podcast Quotes
42:29 Initial Impressions on AI Drafting
44:08 Rethinking Work Through Interviews
Keywords:
Anthropic Claude, Claude feature, knowledge work, AI tool, software engineers, deep research mode, base pro plan, $20 a month plan, new Claude feature, AI integration, AI tool use, live context, agentic tool use, Google Drive, Google Calendar, Gmail, Zapier integration, MCP mode, model context protocol, generative AI, AI work Wednesdays, large language model, AI updates, deep research capabilities, tool usability, OpenAI, Gemini, Microsoft Copilot, deep research services, contextual business knowledge, AI-driven research, AI-powered insights, Claude Pro plan, data integration, transforming knowledge work, AI research tools, AI systems integration, business intelligence, AI agent capabilities, Claude updates, data analysis, information extraction, AI collaboration tools, Anthropic integration, AI-driven innovation, AI work efficiency, information processing.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Is AI gonna wipe out 50% of entry-level jobs?
Anthropic's CEO says that's the case when it comes to AI jobs disruption and entry-level, white-collar jobs.
So..... is that for real?
Or just an AI CEO trying to pump his company's newly released tools?
Join us to find out!Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
Anthropic CEO's AI Job Loss WarningAI Impact on White Collar RolesAI Companies' Job Displacement Tax ProposalAnthropic's Claude 4 Model DiscussionUnderstanding Agentic AI and Job ImpactWall Street's AI Buzzword InfluenceMedia's Role in AI Job ApocalypseGovernment's AI Regulation ChallengesTimestamps:
00:00 "Hot Take Tuesday: Job Loss & AI"04:31 "Future of Entry-Level White Collar Jobs"
08:20 AI-Induced Job Displacement Crisis
12:01 AI's Workforce Impact: Disruption Ahead
13:22 AI and Future of Desk Jobs
18:19 Future of Full-Time Jobs Uncertain
21:48 Claude Four: Expectations vs. Reality
25:28 AI Disruption Hits White-Collar Jobs
30:07 Wall Street's AI Over Employees
31:10 "Corporate Greed and AI Investment"
37:40 Debating AI Policy Balance
38:42 AI’s Impact on Jobs and Society
43:24 Media Hype Over AI Job Fears
48:25 AI Revolutionizing Business Dynamics
49:30 AI Job Impact: Leaders' Responsibility
Keywords:
Dario Modi, Anthropic CEO, AI job loss, Entry level white collar jobs, AI companies taxed, AI systems impact, Government regulation and AI, AI technology producers, AI job displacement crisis, AI-driven efficiency improvements, AI reshaping industry dynamics, AI job apocalypse, AI unemployment rate prediction, Knowledge worker disruption, Large language models, AI autonomy, AI reasoning, Agentic AI systems, AI-driven transformations, AI-model reasoning, AI-augmented jobs, AI automation, AI workforce reduction, Corporate greed and AI, AI regulatory policies, AI token tax, AI and economic impact, AI and workforce change, AI driven societal change.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Perplexity is pivoting hard... and we like it.
The New York Times (even amidst its fight with Big AI) just partnered with a big AI company.
And Google Gemini just got a lot better for workspace users, and you won't have to lift a finger.
AI got a lot more useful this week.
Join us to find out how it's changing how we work.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
Perplexity's Agentic Mode Launch OverviewNew Google Gemini Updates for WorkspacePerplexity Labs' Reporting Tools ExplainedRobot Launch: Hugging Face Ricci MiniAI Missteps in Government Healthcare ReportAmazon & New York Times AI PartnershipEleven Labs' Conversational AI UpdateAnthropic CEO on AI Job DisplacementTimestamps:
00:00 "Perplexity Labs: AI-Powered Analytics Revolution"06:35 "AI Slide Creation Breakthrough"
10:56 "Affordable Open-Source Robot for Developers"
14:24 Admin Control on Workplace Summaries
15:11 "Google Drive's New AI Summarization"
20:56 "AI Strategy and Growth Solutions"
24:00 NYT Sues OpenAI and Microsoft
26:12 "Survival Strategies for Media Outlets"
30:41 Black Forest Labs Challenges AI Giants
35:07 AI Revolution in Call Centers
36:01 Advanced Multilingual Conversational AI System
39:33 Apple Shifts Focus Away from AI
43:07 Apple's AI Projects and Challenges
48:02 Tech Innovations: Robotics, AI, Workspace Updates
49:17 AI Job Threats Highlighted
Keywords:
Perplexity Labs, Perplexity agentic mode, conversational search engine, AI-driven research, Perplexity Labs Pro, Mac and Windows apps, customizable dashboards, deep research mode, Claude artifacts, Google Gemini, email summary cards, AI-powered email summaries, Gmail AI update, Google Drive video summarization, Google Workspace, US Department of Health and Human Services, generative AI citations, The New York Times, Amazon AI deal, Alexa update, AI foundation models, Eleven Labs, conversational AI 2.0, enterprise voice agent, AI turn-taking model, multilingual conversations, Anthropic CEO, AI job displacement, white collar jobs, Apple WWDC conference, Apple AI gap year, Black Forest Labs, Flux one context, generative AI image editing, financial predictionsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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We only talk about the upside of agentic AI.
But why don't we talk about the risks?
As AI agents grow exponentially more capable, so too does the likelihood of something going wrong.
So how can we take advantage of agentic AI while also addressing the risks head-on?
Join us to learn from a global leader on Responsible AI.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
Responsible AI: Evolution and ChallengesAgentic AI's Ethical ImplicationsMulti-Agentic AI Responsibility ShiftMicrosoft’s AI Governance StrategiesTesting Multi-Agentic Risks and PatternsAgentic AI: Future Workforce SkillsObservability in Multi-Agentic SystemsThree Risk Categories in AI ImplementationTimestamps:
00:00 Evolving Challenges in Responsible AI05:50 Agent Technology: Benefits and Risks
09:27 Complex System Governance and Observability
12:26 AI Monitoring and Human Intervention
15:14 Essential Testing for Trust Building
19:43 Securing AI Agents with Entra
22:06 Exploring Human-AI Interface Innovation
26:06 AI Workforce Integration Challenges
28:22 AI's Transformative Impact on Jobs
Keywords:
Agentic AI, multi agentic AI, responsible AI, generative AI, Microsoft Build conference, AI governance, AI ethics, AI systems, AI risk, AI mitigation, AI tools, human in the loop, Foundry observability, AI testing, system security, AI monitoring, user intent, AI capability, prompt injection, Copilot, AI orchestration, AI deployment, system governance, Entra agent ID, AI education, AI upskilling, AI workforce integration, systemic risk, AI misuse, AI malfunctions, AI systemic risk, AI-powered solutions, AI development, AI innovation, AI technology, AI security measures.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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We're so quick to give AI access to see the world around us, but what are the dangers? And what are some powers that you're not aware of? We'll be sharing both as Michael Tiffany, Co-Founder and CEO of Fulcra Dynamics, joins us to discuss.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have thoughts? Join the convo.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Power and danger of letting AI view your data
2. Quick emergence of live AI technology
3. Kill switch and intelligent data routing
4. Local compute and orchestration requirements
Timestamps:
00:00 AI Advances: Power and Privacy Concerns
05:34 Fulcra: Pioneers in Streaming Data Storage
08:09 "Hacker Cyborgs and AI Privacy"
12:08 AI Surveillance and Privacy Concerns
15:02 "Experimenting with Custom AI Assistant"
16:40 Calendar and Location Data Insights
21:46 "Smart Local Monitoring Strategies"
24:09 Miniature AI Models Revolutionize Technology
28:36 Experiment with Personal AI ControlKeywords:
Generative AI, AI technology, Google Gemini Live, Gemini's AI, AI agent, Microsoft Copilot Vision, personal data, privacy, data security, artificial general intelligence, superintelligence, live technology, AI observability, AI assistance, AI models, multimodal models, world models, local inference, edge AI, small language models, Frontier models, cloud-based models, Enterprise software, on-premise software, Cloud Software, AI Orchestration, Local Compute, Hardware, Biohacking, Personal Data ControlSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Claude 4: Game-changer or just more AI noise?
Anthropic's new Opus 4 and Sonnet 4 models are officially out and crushing coding benchmarks like breakfast cereal.
They're touting big coding gains, fresh tools, and smarter AI agentic capabilities.
Need to know what's actually up with Claude 4, minus the marketing fluff? Join us as we dive in.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
Claude 4 Opus and SONNET LaunchAnthropic Developer Conference HighlightsAnthropic's AI Model Naming ChangesClaude 4's Hybrid Reasoning ExplainedBenchmark Scores for Claude 4 ModelsTool Integration and Long Tasks in ClaudeCoding Excellence in Opus and SONNET 4Ethical Risks in Claude 4 TestingTimestamps:
00:00 "Anthropic's New AI Models Revealed"03:46 Claude Model Naming Update
07:43 Claude 4: Extended Task Capabilities
10:55 "Partner with AI Experts"
15:43 Software Benchmark: Opus & SONNET Lead
16:45 INTROPIC Leads in Coding AI
21:27 Versatile Use of Claude Models
23:13 Claude Four's New Features & Limitations
28:23 AI Pricing and Performance Disappointment
32:21 Opus Four: AI Risk Concerns
35:14 AI Model's Extreme Response Tactics
36:40 AI Model Misbehavior Concerns
42:51 Pre-Release Testing for Safety
Keywords:
Claude 4, Anthropic, AI model update, Opus 4, SONNET 4, Large Language Model, Hybrid reasoning, Software engineering, Coding precision, Tool integration, Web search, Long running tasks, Coherence, Claude Code, API pricing, Swebench, Thinking mode, Memory files, Context window, Agentic systems, Deceptive blackmail behavior, Ethical risks, Testing scenarios, MCP connector, Coding excellence, Developer conference, Rate limits, Opus pricing, SONNET pricing, Claude Haiku, Tool execution, API side, Artificial analysis intelligence index, Multimodal, Extended thinking, Formative feedback, Text generation, Reasoning process, Lecture summary.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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AI went boom this week. 🤯
Microsoft Copilot's Coding Autonomy Major UpgradeCopilot Tuning for Enterprise CustomizationAgent Foundry Launch by Microsoft AzureMicrosoft’s Multimodal Input & WorkflowAnthropic's Claude Opus 4 & Sonnet 4 ReleaseClaude's Ratting Feature ControversyOpenAI's Operator AI Agent UpgradedOpenAI Acquires Hardware Startup IOGoogle IO's 100+ AI Feature Unveiling
↳ Google announced their biggest AI updates ever at I/O.
↳ Microsoft unveiled dozens of AI updates at its Build conference.
↳ Anthropic unveiled Cluade 4 at its first conference.
And none of those are the biggest AI takeaways of the week. Sheeeeesh.
The implications on work are nutty.
What's new and how will it impact you? Listen to find out.
Newsletter: Sign up for our free daily newsletter
Join the discussion: Ask Jordan about this week's AI news
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
Timestamps:
00:00 "Everyday AI: Streamlined Insights"06:52 Microsoft's AI Innovations Unveiled
08:17 Copilot AI Automates Business Tasks
14:23 "Claude SONNET 4: Enhanced API Tool"
17:20 "Claude Four: Expensive but Improved"
21:23 AI Strategy Partnership Offer
25:06 Anthropic AI Raises Privacy Concerns
27:31 Anthropic's Ongoing AI Controversy
32:18 OpenAI's O-Three Model Expansion
34:34 OpenAI Acquires Jony Ive's Startup
36:39 Screen-Free, Context-Aware AI Device
40:51 Altman and Ive's Screenless AI Device
46:48 Google's $250 AI Ultra Subscription
51:45 "Google Flow Enhances AI Video Creation"
55:16 Massive AI Updates: OpenAI & Google
56:53 Daily AI Updates Await
Keywords:
AI developments, Google IO, Microsoft Build, AI conference, Copilot AI tools, Claude Opus 4, Claude Sonnet 4, AI updates, AI newsletter, business leaders, GitHub Copilot, autonomous coding partner, multimodal inputs, Copilot Tuning, AI customization, Azure agent foundry, multi-agent workflows, coding model, Anthropic AI, MCP protocol, OpenAI operator, Claude four, ratting behavior, AI hardware, Jony Ive, context aware device, AI video generator, v o 3, digital content authenticity, Google Project Mariner, AI autonomous agent, Gemini 2.5, video generation, AI Ultra subscription, screen free AI hardware, AI-driven workflows, real-time AI assistant, AI-powered applications, computer using agent, Anthropic backlash, Claude 4 Opus, Sam Bowman, AI alignment researcher, OpenAI acquiSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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What happens when.... AI agents are everywhere?
To learn, we tapped into the insights from one of the leading voices in AI, Babak Hodjat, who's resume includes helping create the tech behind the original AI agents like Siri.
So, how do enterprises prepare for a multi-agent environment? Tune in and find out.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan and Babak questions on AI agents
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
1. Understanding Agents and Large Language Models
2. Implementing Multi-Agent Systems
3. Hallucinations and Errors in AI Systems
4. Usage and Organization within Multi-Agent Environments
Timestamps:
00:00 "Rethinking Enterprise with Multi-AI Agents"
05:33 AI Agents Buzz at Davos
07:57 Code Execution via Agent Tools
10:03 Emerging Trend: Multi-Agent AI Integration
14:40 Responsible Multi-Agent System Design
19:35 Multi-Agent System Alignment Challenges
21:19 Resilient AI Through Redundancy
26:26 Generative AI Business Strategies
27:45 Rethinking Human-Device Interaction
31:16 Multi-Agent Enterprise IntegrationKeywords:
Everyday AI, podcast, generative AI, agents, large language models, enterprise companies, multi agent environments, decision making process, Cognizant, Neuro AI, startup culture, agentic AI environments, technology services, AI first company, natural language processing, decision systems, agentification, POC (proof of concept), modular software, agent alignment, AI ethics, human in the loop, multi agent systems, organizational decision making, enterprise productivity, knowledge worker, conversational systems, AI strategy, AI safety, organizational agility.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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So many new Google AI updates at Google I/O, we had to do an encore.
Google dropped dozens of new AI tools, features and modes inside their Gemini model and just about everywhere else.
We already counted down the first half, so join us LIVE as we talk about the best of the best ofhashtag
#GoogleIO announcements.
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More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
Google IO AI Updates Coverage - Part TwoGoogle's AI Advancements and Current Standing in AI IndustryRecap of Previous Episode's Google IO AI Updates (15 to 8)Overview of New Google IO AI Features (7 to 1)Google's AI Tools: Flow and VEO ThreeVEO Three's Capabilities and Business ApplicationsGoogle's AI Mode in Google SearchGemini Live and Project Astra IntegrationUpdates to Google's Gemini 2.5 ModelsIntroduction of Google AI Ultra SubscriptionProject Mariner and Agent Mode CapabilitiesTimestamps:
00:00 Google Leads in AI Innovation04:56 Google's Top 7 AI Updates
09:05 "Flow: Seamless Scene Stitching Tool"
13:36 Embracing AI Tools in Video Production
14:20 "v o Three Buzzing on Social Media"
18:04 "Upgrading Video Production Technology"
23:55 Amazed by AI's Realism
25:28 AI Watermarking and Evasion Trends
28:32 Google's AI Search Strategy
34:52 Feature Access Across Pricing Plans
35:42 "Gemini's Impactful AI Action Intelligence"
40:21 Gemini 2.5 Pro's Enhanced Capabilities
44:52 Google AI Plan Limitations Rant
47:00 "Project Mariner: Autonomous AI Agent"
50:09 "Project Mariner: AI Integration Potential"
52:54 AI Newsletter Sign-Up & Feedback
Keywords:
Google IO, AI updates, Gemini model, New AI offerings, Google AI, Business growth, AI features, Flow filmmaking tool, Google v o three, AI video generation, Project Astra, AI assistant, AI mode in Google search, AI-powered technology, Real-time translation, Gemini app updates, Gemma three n, Agent mode, Project Mariner, GoogSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Google just dropped like 3 years of AI updates on us in 3 hours. 🫨
Welp...... cool.
What do we do, now?
And how does this change how your business operates?
Don't worry... we'll tackle it all. In 2 parts.
Google I/O AI Updates: 15 new features and how they can grow your business Pt 1 of 2 -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
Google’s Position in AI RaceTop 15 AI Updates from Google I/O ConferenceImagine 4 Text-to-Photo PlatformChrome with Gemini IntegrationPersonalization in EmailNotebook LM UpdatesGemini Diffusion ModelReal Time Translation in Google MeetGemini App UpdatesGemma 3N ModelTimestamps:
00:00 Google Dominates AI Race04:22 AI Advancements: Beyond Top 15
08:01 Assessing "Imagine Four" in AI Imaging
11:18 Enhanced Image Editing Features
16:37 "Personalized Replies with Google Gemini"
18:11 Email Overload & Personalization Hopes
23:26 Simple Video Generation and Audio Overviews
24:25 Google AI: Fun, Cutesy Graphics Explained
27:43 "Diffusion Tech for Text Models"
31:42 Pro Plan and Language Expansion
34:05 Gemini App Updates and Features
39:53 "Quad Model: Powerful & Accessible"
41:13 "Gemma 3: Game-Changer for AI"
44:12 "Stay Tuned for More AI"
Keywords:
Google IO, AI updates, generative AI, large language model, AI race, Microsoft, OpenAI, Anthropic, Google leader, AI conference, top 15 AI features, business leaders, free daily newsletter, Google AI, Google Chrome, Gemini integration, Imagine 4, text-to-photo platform, Google workspace apps, personalization in email, NotebookLM updates, Gemini diffusion model, real-time translation, Google Meet, Gemini app updates, multilingual support, hybrid thinking model, AI-powered tools, personalized email, Google Drive, Chrome features, business use cases, international communication, Edge AI, small language model, Gemma 3n, multimodal capabilities, on-device AI, open-source model, pro and Ultra subscriptions, data security.Ep 530: Google I/O AI Updates: 15 new features and how they can
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Microsoft legit just dropped a book of AI updates at the Build Conference.
We're going to go over the 5 most impactful AI-powered Microsoft Copilot updates and how they will change the future of work.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
GitHub Copilot's Autonomous Coding Partner UpdateCopilot Tuning for Enterprise CustomizationIntroducing Agent Foundry on AzureMulti-Agent Orchestration in Copilot StudioComputer Use Automation in CopilotMCP Native Support in Microsoft SystemsTimestamps:
00:00 "Everyday AI: Transform Your Business"06:42 AI Coding Assistant Evolution
09:29 Copilot Tuning for Business Leaders
10:56 Data Privacy Concerns in Cloud Use
16:52 "AI Collaboration Among Tech Giants"
20:48 "Multi-Agent Orchestration Cautions"
22:59 "Multi-Agent Orchestration in Copilot Studio"
25:27 OpenAI Copilot Access and Availability
29:38 Copilot Pro: Versatile AI Agent
35:13 Microsoft Embraces Open AI Collaboration
36:57 "Security Concerns Slow AI Rollout"
39:44 Subscribe & Review Request
Keywords:
Microsoft Build 2025, AI updates, Copilot AI updates, GitHub Copilot, GitHub Copilot coding agent, Autonomous coding partner, Visual Studio Code, Multimodal understanding, Natural language prompts, MCP protocol, Model context protocol, Anthropic, Microsoft 365 Copilot, Business leaders, Copilot tuning, Organization's internal data, Low code model tuning, Task specific agents, Secure service boundary, Azure, Agent foundry, AI agent playground, Enterprise grade AI agents, Grok, Elon Musk, Microsoft Azure, Agent to agent protocol, A to A, Multi agent orchestration, Copilot Studio, Agents collaboration, Agentic memory, Automated validation tools, Computer use in Copilot, Desktop applications, Repetitive tasks, MCP native support, Windows 11, Future of work, Third party applications, Agentic web, Security and access controls.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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OpenAI made a coding splash. Anthropic is in legal trouble for .... using its own Claude tool? Google went full multimedia. And that's only the half of it.
Don't spend hours a day trying to keep up with AI. That's what we do.
Join us (most) Mondays as we bring you the AI News That Matters.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
Salesforce Acquires AI Startup ConvergenceGoogle AI Studio's Generative Media PlatformMajor AI Conferences: Microsoft, Google, AnthropicAnthropic's Legal Citation Error with AIDeepMind's Alpha Evolve Optimization BreakthroughUAE Stargate: US and UAE AI CollaborationOpenAI's GPT 4.1 Model ReleaseOpenAI's Codex Platform for DevelopersTimestamps:
00:00 Busy week in AI03:39 Salesforce Expands AI Ambitions with Acquisition
10:31 "Google AI Studio Integrates New Tools"
13:57 Microsoft Build Focuses on AI Innovations
16:27 AI Model and Tech Updates
22:54 "Alpha Evolve: Breakthrough AI Model"
26:05 Google Unveils AI Tools for Developers
28:58 UAE's Tech Expansion & Global Collaboration
30:57 OpenAI Releases GPT-4.1 Models
34:06 OpenAI Codex Rollout Update
37:11 "Codex: Geared for Enterprise Developers"
41:41 Generative AI Updates Coming
Keywords:
OpenAI Codex, Codex Platform, Salesforce, Convergence AI, Autonomous AI agents, Large Language Models, Google AI Studio, generative media, Imagine 3 model, AI video generator, Anthropic, Legal citation error, AI conference week, Microsoft Build, Claude Code, Google IO, agentic AI, Alpha Evolve, Google DeepMind, AI driven arts, Gemini AI, UAE Stargate, US tech giants, NVIDIA, Blackwell GB 300 chips, Wind Surf, AI coding assistant, codex one model, coding tasks, Google Gemini, Semantic search, Copilot enhancements, XR headset, project Astra, MCP protocol, ChatGPT updates, API access, AI safety evaluations, AI software agents, AI studio sandbox, GPT o series, AI infrastructure, data center computing, Tech collaboration, international AI expansion.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Think AI is hitting a wall? Nope.
This is just the start. Actually, we're at the first chapter. Here's what that means, and how you can move your company ahead.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Thoughts on this? Join the conversation
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Generative AI's current phaseMeta's in-house AI chips developmentOpenAI's new developer toolsDay zero of AI and future prospectsReinforcement learning advancementsEmergent reasoning capabilities in AIBusiness implications of AI advancementsAI in healthcare and science
Topics Covered in This Episode:Timestamps:
00:00 Day Zero of AI03:31 AI Tools Enhance Customization & Access
09:02 Reinforcement Learning Enhances AI Reasoning
11:27 Agentic AI: The Future of Tasks
15:59 Tech Potential vs. Everyday Utilization
18:48 AI Models Offer Broad Benefits
23:15 "Generative AI: Optimism and Oversight"
27:08 Generative AI vs. Domain-Specific AI
29:24 Superhuman AI: Next Frontier
Keywords:
Generative AI, Fortune 100 leaders, chat GBT, Microsoft Copilot, enterprise companies, day zero of AI, livestream podcast, free daily newsletter, leveraging AI, capital expenditures, Meta AI chips, Nvidia, Taiwan's TSMC, AI infrastructure investments, Amazon, Google, Microsoft, OpenAI, responses API, agents SDK, legal research, customer support, deep research, agentic AI, supervised learning, reinforcement learning, language models, health care, computational biology, AlphaFold, protein folding prediction.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Blink, and you’ve already missed like 7 AI updates.
The large language models we use and rely on? They change out more than your undies.
(No judgement here.)
But real talk — businesses have made LLMs a cornerstone of their business operations, yet don’t follow the updates.
Don’t worry shorties. We’ve got ya.
In our first ever LLM Monthly roundup, we’re telling you what’s new and noteworthy in your favorite LLMs.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
ChatGPT 4.1 New Features OverviewChatGPT Shopping Platform LaunchChatGPT's Microsoft SharePoint IntegrationChatGPT Memory and Conversation HistoryGoogle Gemini 2.5 Pro UpdatesGemini Canvas Powerful ApplicationsClaude Integrations with Google WorkspaceMicrosoft Copilot Deep Research InsightsTimestamps:
00:00 Saudi Arabia's $600B AI Investment06:44 Monthly AI Model Update Show
08:11 OpenAI Launches GPT-4.1 Publicly
11:52 AI Research Tools Comparison
16:29 Perplexity's Pushy Shopping Propensity
19:55 ChatGPT Memory: Pros and Cons
22:29 Gemini Canvas vs. OpenAI Canvas
25:06 AI Model Competition Highlights
28:25 Google Gemini Rivals OpenAI's Research
32:30 "Claude's Features and Limitations"
37:05 Anthropic's Educational AI Innovation
39:02 Exploring Copilot Vision Expansion
41:38 Meta AI Launch and Llama 4 Models
46:27 "New iOS Voice Assistant Features"
47:54 "Enhancing iOS Assistant Potential"
Keywords:
ChatGPT, AI updates, Large Language Model updates, OpenAI, GPT 4.1, GPT 4.0, GPT 4.5, GPT 4.1 Mini, Saudi Arabia AI investment, NVIDIA Blackwell AI chips, AMD deal, Humane startup, Data Vault, AI data centers, Logic errors moderation, Grox AI, Elon Musk, XAI, Google Gemini, ChatGPT shopping, Microsoft SharePoint integration, OneDrive integration, deep research, AI shopping platform, Google DeepMind, Alpha Evolve, evolutionary techniques, AI coding, Claude, Anthropic Claude, Confluence integration, Jira integration, Zapier integration, ChatGPT enterprise, API updates, Copilot pages, Microsoft three sixty five, Bing search, Meta AI, Llama 4, Llama 4 Maverick, Llama 4 Scout, Perplexity, voice assistant, Siri alternatives, Grok Studio, AI social network.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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AI is shaking up qualitative research: speeding things up, cleaning messy transcripts, and even identifying hidden patterns.
Sounds amazing, right?
Buuuuuuuut there’s a catch.
When does AI go from helpful assistant to heavy-handed editor, scrubbing out the human insights qualitative research was built on?
In this episode of Everyday AI, we're tackling how to balance AI-powered qualitative research without losing touch with human nuance.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
Importance of Qualitative Research TrainingChallenges in AI-Assisted Qualitative ResearchAI's Role in Data TranscriptionHuman-Led Analysis in Qualitative ResearchAI's Impact on Data AccessibilityLimitations of AI in Qualitative AnalysisFuture of AI and Qualitative ResearchCritical Thinking in AI-Assisted ResearchTimestamps:
00:00 PhD and Qualitative Research Training05:07 "Qualitative Research and Multiple Narratives"
08:04 AI in Research: Balancing Automation
09:57 AI-Assisted Data Analysis Caution
16:23 AI's Impact on Qualitative Research
19:19 Analyzing Qualitative Data Interpretation
25:11 Balancing AI in Qualitative Research
Keywords:
Qualitative research, qualitative researcher, AI use in research, AI in qualitative research, AI-informed, human-led, thoughtful AI use, research impacts, health psychology, apprentice plumber analogy, training for PhD students, data analysis, transcribing interviews, transcription time, structured versus unstructured data, meaning making, words as data, interpretive work, subjective interpretation, data set analysis, line by line coding, thematic analysis, story telling in research, ensuring rigor in research, critical thinking in research, efficiency in research processes, literature gap identification, data visualization, AI as an intern, sharing research findings with lay audience, implicit meaning in data, biases in models, accessibility of academic work, academic pressure to publish, research dissemination, insights from research, qualitative research processes, interpretation in qualitative research.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Agentic AI is equally as daunting as it is dynamic. So…… how do you not screw it up?
After all, the more robust and complex agentic AI becomes, the more room there is for error.
Luckily, we’ve got Dr. Maryam Ashoori to guide our agentic ways.
Maryam is the Senior Director of Product Management of watsonx at IBM. She joined us at IBM Think 2025 to break down agentic AI done right.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedInTopics Covered in This Episode:
Agentic AI Benefits for EnterprisesWatson X's New Features & AnnouncementsAI-Powered Enterprise Solutions at IBMResponsible Implementation of Agentic AILLMs in Enterprise Cost OptimizationDeployment and Scalability EnhancementsAI's Impact on Developer ProductivityProblem-Solving with Agentic AITimestamps:
00:00 AI Agents: A Business Imperative06:14 "Optimizing Enterprise Agent Strategy"
09:15 Enterprise Leaders' AI Mindset Shift
09:58 Focus on Problem-Solving with Technology
13:34 "Boost Business with LLMs"
16:48 "Understanding and Managing AI Risks"
Keywords:
Agentic AI, AI agents, Agent lifecycle, LLMs taking actions, WatsonX.ai, Product management, IBM Think conference, Business leaders, Enterprise productivity, WatsonX platform, Custom AI solutions, Environmental Intelligence Suite, Granite Code models, AI-powered code assistant, Customer challenges, Responsible AI implementation, Transparency and traceability, Observability, Optimization, Larger compute, Cost performance optimization, Chain of thought reasoning, Inference time scaling, Deployment service, Scalability of enterprise, Access control, Security requirements, Non-technical users, AI-assisted coding, Developer time-saving, Function calling, Tool calling, Enterprise data integration, Solving enterprise problems, Responsible implementation, Human in the loop, Automation, IBM savings, Risk assessment, Empowering workforce.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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