Podcasts about ai models

Salesforce is back in the acquisition swing. Circle is going for an IPO. Is Netflix about to lose the streaming service crown? The Holy Grail of AI Models. And is your boss more demanding of your output now that you use AI?Links:Salesforce Agrees to Buy Informatica in Deal Worth $8 Billion (Bloomberg)Stablecoin Giant Circle File for IPO on NYSE (CoinDesk)The Browser Company mulls selling or open-sourcing Arc Browser amid AI-focused pivot (TechCrunch)Cricket gives Disney-Ambani unit in India almost as many users as Netflix (Financial Times)One of Europe's top AI researchers raised a $13M seed to crack the ‘holy grail' of models (TechCrunch)At Amazon, Some Coders Say Their Jobs Have Begun to Resemble Warehouse Work (NYTimes)Khosla Ventures among VCs experimenting with AI-infused roll-ups of mature companies (TechCrunch)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Excited is overused This week, we recap Microsoft Build, Google I/O, and Java turning 30. Plus, more Vegemite talk and a discussion on whether tech presenters really need to tell us they're “excited.” Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/4ar2nzlx3gw?si=pee9R6HbHN06etA2) 520 (https://www.youtube.com/live/4ar2nzlx3gw?si=pee9R6HbHN06etA2) Runner-up Titles We all need choices Vegans are against everything The problem is you shouldn't be watching keynotes You're giving the black box too much responsibility What are you going to do? Some more stuff they announced that I don't want They're excited about that Hopefully people are excited about that I'm happy for you I want to like it Nerd famous Can you just fix calendaring? It's too much I'm not going back to Java Rundown Will Matt try marmalade with his Vegemite for the full PBJ analogue. (https://bsky.app/profile/thescarletmanuka.bsky.social/post/3lpdioobdek27) MSFT Build Microsoft Build 2025: news and announcements from the developer conference (https://www.theverge.com/news/669382/microsoft-build-2025-news-ai-agents) Microsoft announces over 50 AI tools to build the ‘agentic web' at Build 2025 (https://venturebeat.com/ai/microsoft-announces-over-50-ai-tools-to-build-the-agentic-web-at-build-2025/) Findings from Microsoft's 3-week study on Copilot use (https://newsletter.getdx.com/p/microsoft-3-week-study-on-copilot-impact) Microsoft open sources Windows Subsystem for Linux (https://www.theregister.com/2025/05/19/microsoft_wsl_open_source/) Google I/O Everything announced at the Google I/O 2025 keynote (https://www.engadget.com/ai/everything-announced-at-the-google-io-2025-keynote-171514495.html?guccounter=1&guce_referrer=aHR0cHM6Ly9uZXdzLmdvb2dsZS5jb20v&guce_referrer_sig=AQAAAIewjPeuiVydyPgPtFxJyD7lYSE7rAY-BFM7JxN5AHvJvH_NrHmCURfrSuBK4HmB700OTDoGERdfPyB77mCb8_225GPcoppCXG4dl_bgGOA9j4E5Fprl_nUD__-69yEG5-W7vmXISAdJC2kBU3MSZErnX1TuyR1_gKfb5Hx_OdRs) Android XR is getting stylish partners in Warby Parker and Gentle Monster (https://www.theverge.com/google-io/670013/android-xr-warby-parker-gentle-monster-smart-glassesi-io-2025) Jules - An Asynchronous Coding Agent (https://jules.google/) Google Embraces MCP (https://thenewstack.io/google-embraces-mcp/?link_source=ta_bluesky_link&taid=682cf46509703200019ca4f3&utm_campaign=trueanthem&utm_medium=social&utm_source=bluesky) iOS 19 Will Let Developers Use Apple's AI Models in Their Apps (https://www.macrumors.com/2025/05/20/ios-19-apple-ai-models-developers/) NEW Claude MCP AI Super Agents (https://x.com/juliangoldieseo/status/1924148362653348232?s=46&t=zgzybiDdIcGuQ_7WuoOX0A) AWS Launches Its Take on an Open Source AI Agents SDK (https://thenewstack.io/aws-launches-its-take-on-an-open-source-ai-agents-sdk/) Java at 30: The Genius Behind the Code That Changed Tech (https://thenewstack.io/java-at-30-the-genius-behind-the-code-that-changed-tech/) Relevant to your Interests If AI is so good at coding … where are the open source contributions? (https://pivot-to-ai.com/2025/05/13/if-ai-is-so-good-at-coding-where-are-the-open-source-contributions/) Y Combinator says Google is a ‘monopolist' that has ‘stunted' the startup ecosystem (https://techcrunch.com/2025/05/13/y-combinator-says-google-is-a-monopolist-that-has-stunted-the-startup-ecosystem) Coinbase says customers' personal information stolen in data breach (https://techcrunch.com/2025/05/15/coinbase-says-customers-personal-information-stolen-in-data-breach/) DataBricks interview about Neon (https://www.axios.com/newsletters/axios-pro-rata-a6f0b4f0-fe7f-412f-bf4b-5978de02d604.html?chunk=1&utm_term=emshare#story1) OpenAI launches Codex, an AI coding agent, in ChatGPT (https://techcrunch.com/2025/05/16/openai-launches-codex-an-ai-coding-agent-in-chatgpt/) CarPlay Ultra, the next generation of CarPlay, begins rolling out today (https://www.apple.com/newsroom/2025/05/carplay-ultra-the-next-generation-of-carplay-begins-rolling-out-today/) Meta argues enshittification isn't real in bid to toss FTC monopoly case (https://arstechnica.com/tech-policy/2025/05/meta-says-no-proof-of-monopoly-power-wants-ftc-case-dismissed-mid-trial/) When Open Source Isn't: How OpenRewrite Lost Its Way (https://medium.com/@jonathan.leitschuh/when-open-source-isnt-how-openrewrite-lost-its-way-642053be287d) Wiz 2.0? Cyera's meteoric $6B valuation is turning heads across the cyber world | CTech (https://www.calcalistech.com/ctechnews/article/shavjm2g2) Steve Langasek, One of Ubuntu Linux's Leading Lights, Has Died (https://thenewstack.io/steve-langasek-one-of-ubuntu-linuxs-leading-lights-has-died/) Python: The Documentary [OFFICIAL TRAILER] (https://www.youtube.com/watch?v=pqBqdNIPrbo) Spain Orders Airbnb to Take Down 66,000 Rental Listings (https://www.nytimes.com/2025/05/19/business/airbnb-listings-spain.html) Detecting malicious Unicode (https://daniel.haxx.se/blog/2025/05/16/detecting-malicious-unicode/) Former Apple Design Guru Jony Ive to Take Expansive Role at OpenAI (https://www.wsj.com/tech/ai/former-apple-design-guru-jony-ive-to-take-expansive-role-at-openai-5787f7da) Apple's Worldwide Developers Conference kicks off June 9 (https://www.apple.com/newsroom/2025/05/apples-worldwide-developers-conference-kicks-off-june-9/) Valkey Turns One: How the Community Fork Left Redis in the Dust - Momento (https://www.gomomento.com/blog/valkey-turns-one-how-the-community-fork-left-redis-in-the-dust/?ck_subscriber_id=512834888&utm_source=convertkit&utm_medium=email&utm_campaign=[Last%20Week%20in%20AWS]:%20Transform%20Away,%20as%20AWS%20Reverses%20Course%20-%2017665354) Nonsense Max (@StreamOnMax) on X (https://x.com/StreamOnMax/status/1922781490473034153) Uber to introduce fixed-route shuttles in major US cities designed for commuters (https://techcrunch.com/2025/05/14/uber-to-introduce-fixed-route-shuttles-in-major-us-cities-other-ways-to-save/) Conferences POST/CON 25 (https://postcon.postman.com/2025/), June 3-4, Los Angeles, CA, Brandon representing SDT. Register here for free pass (https://fnf.dev/43irTu1) using code BRANDON (https://fnf.dev/43irTu1) (limited to first 20 People) Contract-Driven Development: Unite Your Teams and Accelerate Delivery (https://postcon.postman.com/2025/session/3022520/contract-driven-development-unite-your-teams-and-accelerate-delivery%20%20%20%20%20%208:33) by Chris Chandler SREDay Cologne, June 12th, 2025 (https://sreday.com/2025-cologne-q2/#tickets) - Coté speaking, discount: CLG10, 10% off. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: MurderBot (https://www.google.com/aclk?sa=L&ai=DChcSEwi286yM0KiNAxUELNQBHStVDhgYABABGgJvYQ&co=1&gclid=Cj0KCQjwxJvBBhDuARIsAGUgNfjytNAoEF2oBZYZixtUoB15h1o0UU1SJRQp-A-GFE_i0FGLHOE5wY8aAoFzEALw_wcB&cce=1&sig=AOD64_3mm-tO-giOK7S1lj45fNCC7pw-6w&q&adurl&ved=2ahUKEwiFq6eM0KiNAxXI4ckDHc0cBAMQ0Qx6BAg9EAE)

Certain grammatical rules never appear in any known language. By constructing artificial languages that have these rules, linguists can use neural networks to explore how people learn.

Wed, 21 May 2025 20:45:00 GMT http://relay.fm/connected/553 http://relay.fm/connected/553 We Have Jony Ive at Home 553 Federico Viticci, Stephen Hackett, and Myke Hurley The guys discuss Fortnite's return to the App Store, cover Google IO, and are interrupted by huge news from Sam Altman and Jony Ive. They then talk about feelings. The guys discuss Fortnite's return to the App Store, cover Google IO, and are interrupted by huge news from Sam Altman and Jony Ive. They then talk about feelings. clean 5550 The guys discuss Fortnite's return to the App Store, cover Google IO, and are interrupted by huge news from Sam Altman and Jony Ive. They then talk about feelings. This episode of Connected is sponsored by: Squarespace: Save 10% off your first purchase of a website or domain using code CONNECTED. Links and Show Notes: Get Connected Pro: Preshow, postshow, no ads. Submit Feedback Review Connected on Apple Podcasts! Fortnite is finally back on US iPhones | The Verge Fortnite becomes top free game on U.S. App Store overnight, but nothing is settled  - 9to5Mac Apple to Open AI Models to Developers in Bid to Spur New Apps - Bloomberg iOS 19 Will Let Developers Use Apple's AI Models in Their Apps - MacRumors Sam and Jony introduce io | OpenAI OpenAI to Buy Apple Veteran Jony Ive's AI Device Startup in $6.5 Billion Deal - Bloomberg Zoe's Very Good Post on Jony Ive's News Airbnb's Redesigned App Combines Stays with Services and Unique Experiences - MacStories Inside Airbnb's App Redesign: An AppStories Interview with Marketing and Design Leads - MacStories The 15 biggest announcements at Google I/O 2025 | The Verge Google's AI enters its ‘agentic era' | The Verge Project Astra 2025: Google's universal AI assistant is now smarter and more proactive | The Verge Microsoft's AI security chief accidentally reveals Walmart's AI plans after protest | The Verge Google Beam hands-on exclusive: a futuristic upgrade to conference calls - YouTube Android XR hands-on: Google's take on Meta Ray-Ban? - YouTube At Google I/O, everything is changing and normal and scary and chill – Platformer Model Context Protocol An Interview with Meta CEO Mark Zuckerberg About AI and the Evolution of Social Media – Stratechery by Ben Thompson Simon Willison's Weblog I really don't like ChatGPT's new

Wed, 21 May 2025 20:45:00 GMT http://relay.fm/connected/553 http://relay.fm/connected/553 Federico Viticci, Stephen Hackett, and Myke Hurley The guys discuss Fortnite's return to the App Store, cover Google IO, and are interrupted by huge news from Sam Altman and Jony Ive. They then talk about feelings. The guys discuss Fortnite's return to the App Store, cover Google IO, and are interrupted by huge news from Sam Altman and Jony Ive. They then talk about feelings. clean 5550 The guys discuss Fortnite's return to the App Store, cover Google IO, and are interrupted by huge news from Sam Altman and Jony Ive. They then talk about feelings. This episode of Connected is sponsored by: Squarespace: Save 10% off your first purchase of a website or domain using code CONNECTED. Links and Show Notes: Get Connected Pro: Preshow, postshow, no ads. Submit Feedback Review Connected on Apple Podcasts! Fortnite is finally back on US iPhones | The Verge Fortnite becomes top free game on U.S. App Store overnight, but nothing is settled  - 9to5Mac Apple to Open AI Models to Developers in Bid to Spur New Apps - Bloomberg iOS 19 Will Let Developers Use Apple's AI Models in Their Apps - MacRumors Sam and Jony introduce io | OpenAI OpenAI to Buy Apple Veteran Jony Ive's AI Device Startup in $6.5 Billion Deal - Bloomberg Zoe's Very Good Post on Jony Ive's News Airbnb's Redesigned App Combines Stays with Services and Unique Experiences - MacStories Inside Airbnb's App Redesign: An AppStories Interview with Marketing and Design Leads - MacStories The 15 biggest announcements at Google I/O 2025 | The Verge Google's AI enters its ‘agentic era' | The Verge Project Astra 2025: Google's universal AI assistant is now smarter and more proactive | The Verge Microsoft's AI security chief accidentally reveals Walmart's AI plans after protest | The Verge Google Beam hands-on exclusive: a futuristic upgrade to conference calls - YouTube Android XR hands-on: Google's take on Meta Ray-Ban? - YouTube At Google I/O, everything is changing and normal and scary and chill – Platformer Model Context Protocol An Interview with Meta CEO Mark Zuckerberg About AI and the Evolution of Social Media – Stratechery by Ben Thompson Simon Willison's Weblog I really don't like ChatGP

An analysis by Epoch AI, a nonprofit AI research institute, suggests the AI industry may not be able to eke massive performance gains out of reasoning AI models for much longer. As soon as within a year, progress from reasoning models could slow down, according to the report's findings. Learn more about your ad choices. Visit podcastchoices.com/adchoices

If you've ever stared at OpenAI's model selector and thought, “Which one am I supposed to use?”, this episode breaks it all down. We go through when to use GPT-4o, GPT-4.5, o3, o4-mini, o4-mini-high, and o1 pro, all based on real world business scenarios. Get Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Vertice Labs - Check out ⁠⁠⁠http://verticelabs.io/⁠⁠⁠ - the AI-native digital consulting firm specializing in product development and AI agents for small to medium-sized businesses.The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Check out Hugo's latest episode with Fei-Fei Li, on How Human-Centered AI Actually Gets BuiltIntro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Computational cognitive science seeks to understand intelligence mathematically.Bayesian statistics is crucial for understanding human cognition.Inductive biases help explain how humans learn from limited data.Eliciting prior distributions can reveal implicit beliefs.The wisdom of individuals can provide richer insights than averaging group responses.Generative AI can mimic human cognitive processes.Human intelligence is shaped by constraints of data, computation, and communication.AI systems operate under different constraints than human cognition. Human intelligence differs fundamentally from machine intelligence.Generative AI can complement and enhance human learning.AI systems currently lack intrinsic human compatibility.Language training in AI helps align its understanding with human perspectives.Reinforcement learning from human feedback can lead to misalignment of AI goals.Representational alignment can improve AI's understanding of human concepts.AI can help humans make better decisions by providing relevant information.Research should focus on solving problems rather than just methods.Chapters:00:00 Understanding Computational Cognitive Science13:52 Bayesian Models and Human Cognition29:50 Eliciting Implicit Prior Distributions38:07 The Relationship Between Human and AI Intelligence45:15 Aligning Human and Machine Preferences50:26 Innovations in AI and Human Interaction55:35 Resource Rationality in Decision Making01:00:07 Language Learning in AI Models

Plus - Microsoft and OpenAI may be renegotiating their partnership; Apple reportedly plans to hike prices of upcoming iPhones Learn more about your ad choices. Visit podcastchoices.com/adchoices

JOIN OUR DISCORD CHANNEL https://discord.gg/4uwxk6TN6r Support us at: buymeacoffee.com/techpodcast In this episode of Project Synapse, John Pinard, Marcel Gagne, and host Jim Love discuss the latest advancements and challenges in the AI industry. The conversation highlights Google's strides with their Gemini AI, the enhancement of AI models with large context windows, and the importance of user-defined system prompts for better AI interaction. The discussion shifts to OpenAI's 'OpenAI for Countries' initiative, examining the implications of a centralized AI controlled by another nation. They introduce 'Maiple,' an open-source AI initiative for Canada aimed at creating a sovereign AI managed collaboratively within the country. The show emphasizes the necessity of a national AI framework to ensure data privacy, economic stability, and innovation. Listeners are encouraged to join the movement and help shape the future of AI in Canada by visiting maple.org. 00:00 Introduction to Project Synapse 00:23 Google's AI Advancements: Gemini Pro 2.5 03:05 Navigating Google's AI Studio 05:54 Google's Video Generation Model: VE O2 11:36 The Future of AI and Energy Requirements 15:26 AI Hallucinations and Memory Management 23:34 AI Models and Context Protocols 25:12 AI Safety and Regulation Challenges 27:27 Guardrails and Software Changes 27:54 Challenges with AI Reliability 28:16 The Evolution of Fact-Checking AI 28:59 Issues with AI-Based Products 29:18 The Problem with AI Tool Reliability 32:04 Building Local AI Systems 34:08 Custom Instructions for AI 37:48 OpenAI's New Initiative: Country AI 40:16 The Case for a Canadian Sovereign AI 44:42 The Vision for Maiple: A Collaborative AI Future 46:05 The Importance of Open Source in AI 58:43 Conclusion and Call to Action

In this episode of Better Edge, Baljash S. Cheema, MD, assistant professor of Cardiology at Northwestern Medicine, and Zach Miller, PhD, manager of Machine Learning and Artificial Intelligence at Northwestern Medicine, discuss the innovative use of machine learning to identify patients with hypertrophic cardiomyopathy and heart failure. Emphasizing the critical collaboration between clinical experts and data scientists, Dr. Cheema and Dr. Miller explain the process of designing and optimizing AI models to better meet clinician needs and improve patient outcomes.

In this episode, I sit down with Michelle Pokrass, who leads post-training at OpenAI and played a key role in the launch of GPT-4.1 and their upcoming RFT offering. We unpack how OpenAI prioritized instruction-following and long context, why evals have a 3-month shelf life, what separates successful AI startups, and how the best teams are fine-tuning to push past the current frontier.If you've ever wondered how OpenAI really decides what to build, and how it affects what you should build, this one's for you. (0:00) Intro(1:03) Deep Dive into GPT-4.1 Development(2:23) User Feedback and Model Evaluation(4:01) Challenges and Improvements in Model Training(5:54) Advancements in AI Coding Capabilities(9:11) Future of AI Models and Fine-Tuning(20:44) Multimodal Capabilities(22:59) Deep Tech Applications and Data Efficiency(24:14) Preference Fine Tuning vs. RFT(26:29) Choosing the Right Model for Your Needs(28:18) Prompting Techniques and Model Improvements(32:10) Future Research and Model Enhancements(39:14) Power Users and Personalization(40:22) Personal Journey and Organizational Growth(43:37) Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

An interview with Professor Jochen Hartmann about the use of generative AI in marketing, specifically focusing on comparing AI-generated images to human-created ones. Hartmann discusses research involving various AI models like DALL-E-3, Midjourney, and Firefly, and the surprising findings about their performance in aesthetics, realism, and effectiveness in real-world ad campaigns. The conversation highlights the rapid development of AI in marketing and its potential to create "superhuman" imagery.

Various developments in artificial intelligence were reported, including OpenAI reversing a personality update for GPT-4o due to negative user feedback and launching new shopping features within ChatGPT to provide personalised product recommendations. Alibaba introduced its open-weight Qwen3 AI models, aiming to enhance developer access and potentially accelerate research. Concerns about AI were highlighted by a study using AI agents to psychologically manipulate Reddit users, raising ethical questions about research consent. Additionally, Amazon launched its first Kuiper internet satellites, entering the satellite internet market, and Duolingo announced plans to replace some contractors with AI, indicating a broader industry trend toward automation. Djamgatech: Free Certification Quiz AppAce AWS, PMP, CISSP, CPA, CFA & 50+ Exams with AI-Powered Practice Tests! Why Professionals Choose Djamgatech PRO version is 100% Free – No ads, no paywalls, forever. Adaptive AI Technology – Personalizes quizzes to your weak areas. 2024 Exam-Aligned – Covers latest AWS, PMP, CISSP, and Google Cloud syllabi. Detailed Explanations – Learn why answers are right/wrong with expert insights. Offline Mode – Study anywhere, anytime. Top Certifications SupportedCloud: AWS Certified Solutions Architect, Google Cloud, AzureSecurity: CISSP, CEH, CompTIA Security+Project Management: PMP, CAPM, PRINCE2Finance: CPA, CFA, FRMHealthcare: CPC, CCS, NCLEX Key Features: Smart Progress Tracking – Visual dashboards show your improvement. Timed Exam Mode – Simulate real test conditions. Flashcards – Bite-sized review for key concepts. Trusted by 10,000+ Professionals"Djamgatech helped me pass AWS SAA in 2 weeks!" – ***** "Finally, a PMP app that actually explains answers!" – ***** Download Now & Start Your Journey!Your next career boost is one click away.Web|iOs|Android|Windows

Welcome to Negronis with Nord. Today, James talks about the benefits of setting up accountability structures after coming off of a quarterly board meeting, H&M's use of AI to create digital doubles of models, and how influencers are represented in movies and TV. As mentioned, James and the Fohr team are headed to Tampa, Florida this week for the DICK'S Varsity Team orientation #DVTOrientation. Learn more about that program at https://www.dicksvarsityteam.com/ and follow along at https://www.instagram.com/dicksvarsityteam/. Congratulations to the 50 members who made the team! Follow Fohr on instagram:  https://www.instagram.com/fohr.co/Follow James on instagram:  https://www.instagram.com/jamesnord/Subscribe to Fohr newsletters: https://www.fohr.co/#newsletter-popupFor press inquiries, email press@fohr.co ---- About Negronis with Nord Influencers know what resonates with their followers. Brands know their product and how to sell it effectively. But we'll guess neither party spends a lot of time trying to understand the influencer marketing business. That's where this series comes in. Negronis with Nord, featuring Fohr's CEO and Founder, James Nord, will offer influencer marketing strategy, tips, and advice for anyone involved in the influencer marketing space–whether you're an entrepreneur, influencer, or content creator, brand ambassador, or marketing professional on the brand side. Cheers, and thanks for listening. 

Anthropic CEO Dario Amodei published an essay Thursday highlighting how little researchers understand about the inner workings of the world's leading AI models. To address that, Amodei set an ambitious goal for Anthropic to reliably detect most AI model problems by 2027. Amodei acknowledges the challenge ahead. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Follow Proof of Coverage Media: https://x.com/Proof_CoverageConnor and Sal spoke with Michael Cho about the future of robotics and AI, highlighting his projects FrodoBots and the new BitRobot network. Michael explained the challenges of testing embodied AI in the real world and introduced the idea of cross-embodiment—training models using data from diverse robots. He also shared how BitRobot uses crypto incentives to crowdsource data and how the meme coin SAM helps build community in a low-pressure way. The conversation offered a fun and thoughtful look into where robotics is headed.Timestamps:00:00 - Introduction01:47 - Intersection of Robotics and AI02:50 - Real-World Evaluation vs. Digital AI06:00 - The Importance of Real-World Testing07:07 - Mapping and Navigation in Robotics08:12 - Value of Real-World Data for AI09:38 - Differences in Data Utility13:07 - Exploring Different Robotic Form Factors14:04 - Cross-Embodiment in Robotics16:35 - Introduction to BitRobot17:30 - Transition from Frotobots to BitRobot20:08 - Collaboration with Researchers and Competitions22:05 - Future Plans for BitRobot24:27 - The Role of Meme Coins in Community Building27:46 - Conclusion Disclaimer: The hosts and the firms they represent may hold stakes in the companies mentioned in this podcast. None of this is financial advice.

A new prompt injection attack is effective against all the big AI models, Poland says Facebook is failing to remove malicious ads, Africa's largest telco discloses a security breach, and hackers breach Malaysian brokerage accounts. Show notes

Date: 4/8/2025 - Designed to keep you informed without the fluff, this series delivers sharp, essential updates to help you stay ahead in fashion and business. This week Bret and Emily talk about even more Tariffs being put into place, The Trump officials quietly moving to reverse bans on forever toxic chemicals, and H&M's new AI Models.  Watch LIVE every Tuesday 12 pm CST on Clothing Coulture YouTube.   

Adobe released the latest versions of its Firefly AI models, TSMC unveils a new technology for creating faster AI chips, and Tesla has begun testing its Full Self-Driving ride-hailing service. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible.Continue reading "Adobe Released The Latest Versions Of Its Firefly AI models – DTH"

In this episode the duo talks about using open-source AI models on the new Ninjalane server and discuss some of the ways you can easily customize them for different uses from building out tailored documents to planning your D&D campaign. While hosting your own private AI sounds complicated the overall process is actually rather straightforward, provided you have the correct hardware to run them.

In this episode of the Neil Ashton podcast, the discussion revolves around foundational models in fluid dynamics, particularly in the context of computational fluid dynamics (CFD). Neil shares insights from a recent panel discussion and explores the potential of AI in predicting fluid behavior. He discusses the evolution of AI in CFD, the challenges of data availability, and the differing adoption rates between industries. The episode concludes with predictions about the future of foundational models and their impact on the engineering landscape.Chapters00:00 Introduction to the Podcast and Topic01:09 Foundational Models in Fluid Dynamics10:09 The Evolution of AI in CFD19:52 Future Predictions and Industry Dynamics

In world news for kids… It's the end of an era for the Catholic church as Pope Francis – known for his kindness that also caused some controversy – passes away. It's the return of the prehistoric wolf puppies – three to be exact. Yes, the once extinct dive wolf returns thanks to the magic of science. We'll tell you how.In tech, or should I say, the world of fashion – AI models are replacing humans.In the US a bookstore moves location, one book at a time, thanks to some helpful book lovers.And – heard the one about the wiener dog stranded on an Australian island? Well, you gotta listen to the end to find out whether this story has an odd or a happy ending…

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OpenAI's newest models are already topping the charts. It's almost like another week, another chart-topping AI release from a big player. So what's different about OpenAI's new o3 (and o4 mini)?And is it really better than Google's super impressive Gemini 2.5 Pro? Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI o3's Advanced Tool Useo3 Versus o4 Model ComparisonAgentic AI: o3's Tool Chainingo3 Full Model's Global BenchmarksLimitations of o3 in Practical UseOpenAI's Image and Python Capabilitieso3 and o4 Mini Context LimitsAI Model Intermodel CommunicationTimestamps:00:00 OpenAI's new models02:30 Daily AI news06:50 Most powerful models?09:05 New OpenAI O-Series Released11:54 O Three: Powerful AI Model16:30 ChatGPT Context and Safety Enhancements18:09 ChatGPT's New Features Overview22:21 "Gemini 2.5 vs. O Series"24:41 "Hybrid Language Models Prevail"29:03 Top AI Model: O3 and O432:05 "OpenAI Browsing Benchmark Update"35:33 GPT Usage Strategy: O3 vs. O4 Mini38:06 Comparing Models in Autonomous Decisions41:33 "Analyzing AI Tools: A Guide"44:44 OpenAI's GPT-5 Release DelayedKeywords:OpenAI's o3, OpenAI's o4, Most powerful AI model, OpenAI vs Google, AI news updates, Huawei 910c chip, US restrictions on NVIDIA, Competitive AI chips, OpenAI memory with search, AI in education, AI executive order, K-12 AI training, ChatGPT, Autonomous AI, Agentic AI models, o series models, AI model naming issues, AI tool use, Visual input reasoning, AI context window, 200k token context, AI reasoning capabilities, AI benchmarks, Large Language Models, AI model speed and efficiency, Agentic tool chaining, AI coding capabilities, AI's impact on education, AI-driven insights, AI model comparison, Chain of Thought reasoning.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

OpenAI's recently launched o3 and o4-mini AI models are state-of-the-art in many respects. However, the new models still hallucinate, or make things up — in fact, they hallucinate more than several of OpenAI's older models. Hallucinations have proven to be one of the biggest and most difficult problems to solve in AI Learn more about your ad choices. Visit podcastchoices.com/adchoices

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In this crossover episode of The Cognitive Revolution, Nathan Labenz joins Liron Shapira of Doom Debates, for a wide-ranging news and analysis discussion about recent AI developments. The conversation covers significant topics including GPT-4o image generation's implications for designers and businesses like Waymark, debates around learning to code, entrepreneurship versus job security, and the validity of OpenAI's $300 billion valuation. Nathan and Leron also explore AI safety organizations, international cooperation possibilities, and Anthropic's new mechanistic interpretability paper, providing listeners with thoughtful perspectives on the high-stakes nature of advanced AI development across society. All the links mentioned in the episode: https://docs.google.com/document/d/1LyFMLH5VpkhY7KfFBpgi2vhfbmdbDtQ4hh03KXEXyiE/edit?usp=sharing SPONSORS: Oracle Cloud Infrastructure (OCI): Oracle Cloud Infrastructure offers next-generation cloud solutions that cut costs and boost performance. With OCI, you can run AI projects and applications faster and more securely for less. New U.S. customers can save 50% on compute, 70% on storage, and 80% on networking by switching to OCI before May 31, 2024. See if you qualify at https://oracle.com/cognitive Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive NetSuite: Over 41,000 businesses trust NetSuite by Oracle, the #1 cloud ERP, to future-proof their operations. With a unified platform for accounting, financial management, inventory, and HR, NetSuite provides real-time insights and forecasting to help you make quick, informed decisions. Whether you're earning millions or hundreds of millions, NetSuite empowers you to tackle challenges and seize opportunities. Download the free CFO's guide to AI and machine learning at https://netsuite.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) About the Episode (02:58) Introduction and Guest Background (08:23) P Doom Discussion (13:15) Anthropic Leadership Concerns (Part 1) (19:50) Sponsors: Oracle Cloud Infrastructure (OCI) | Shopify (21:04) Sponsors: Oracle Cloud Infrastructure (OCI) | Shopify (23:00) Anthropic Leadership Concerns (Part 2) (29:34) GPT-4o Image Capabilities (Part 1) (29:43) Sponsors: NetSuite (31:11) GPT-4o Image Capabilities (Part 2) (38:19) AI Impact on Creative Work (48:26) Future of Software Engineering (01:02:10) NVIDIA Stock Discussion (01:09:21) OpenAI's $300B Valuation (01:17:37) AI Models and Safety (01:33:58) Packy's AI Concerns Critique (01:46:41) Emmett Shear's Organic Alignment (02:04:43) Anthropic's Interpretability Paper (02:17:53) International AI Cooperation (02:27:38) Outro

Imran and Qiao sat down to discuss the trade war and the markets.No BS crypto insights for founders.Timestamps(00:00:00) Intro(00:00:46) Eric Trump(00:01:59) Movement Labs(00:04:37) Regulation in Crypto(00:08:34) Benefits of Going Public(00:09:25) OpenAI Tried to Buy Windsurf(00:12:48) OpenAI as a Super App(00:14:24) Investment in AI Companies(00:15:57) AI vs Crypto Startups(00:17:18) Impact of Crypto's Speculative Nature(00:19:03) Trade War(00:25:01) Trade War Strategy Discussion(00:28:18) Impact of Trade War on Global Relations(00:30:30) Impact of Trade War on Startups(00:31:57) Impact of Military Conflict on AI Progress(00:32:34) China's Dominance in Robotics(00:36:01) China's Advancements in Solar Energy(00:38:18) Zora Launch & "Base is for everyone" Token(00:41:07) What's New in AI?(00:48:35) OpenAI o3(00:49:54) Competitive Nature of AI Models(00:53:50) AI Memory Feature(00:56:37) Market Discussion(00:59:34) Market Predictions(01:02:02) Exciting Startups in AI and Crypto(01:03:19) Poof.new(01:03:38) Slop.club(01:05:10) 01 ExchangeSpotify: https://spoti.fi/3N675w3Apple Podcast: https://apple.co/3snLsxUWebsite: https://goodgamepod.xyzTwitter: https://twitter.com/goodgamepodxyzWeb3 Founders:Apply to Alliance: https://alliance.xyzAlliance Twitter: https://twitter.com/alliancedaoDISCLAIMER: The views expressed herein are personal to the speaker(s) and do not necessarily reflect the views of any other person or entity. Discussions and answers to questions are intended as generalized, non-personalized information. Nothing herein should be construed or relied upon as investment, legal, tax, or other advice.

Everyone's chasing bigger AI. The real opportunity? Smarter scaling.Distributed computing is quietly rewriting the rules of what's possible—not just for tech giants, but for everyone building with AI.We're talking cost. We're talking scale. And we're definitely talking disruption.Tom Curry, CEO and Co-Founder of DistributeAI, joins us as we dig into the future of distributed power and practical AI performance.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Distributed Computing for Affordable AIOpen Source vs. Proprietary AI ModelsGPU Demand and Compute LimitationsEdge Computing and Privacy ConcernsSmall Business AI Compute SolutionsFuture Trends in AI Model SizesImpact of Open Source AI DominanceTimestamps:00:00 Rising Importance of AI Compute06:21 AI Model Resource Constraints09:24 AI Models' Efficiency vs. Complexity12:24 Edge Compute for Daily Tasks16:00 Compute Cost Drives AI Market16:58 AI Models: Balancing Cost and Innovation20:43 Adaptability in Rapidly Changing BusinessKeywords:Distributed computing, compute, GPUs, generative AI, ChatGPT, large language models, open source models, proprietary models, affordable AI, scale, Distribute AI, spare compute, Tom Curry, mid-level businesses, accessible AI ecosystem, API access, power grid, NVIDIA, OpenAI, tokens, chain of thought, models size, reasoning models, edge computing, cell phones analogy, data privacy, DeepSeek, Google Gemini 3, Eloscores, open models, hybrid models, centralized model, OpenAI strategy, Anthropic, Claw tokens, commoditization, applications, government contracts, integration, UX and UI, technology advancements, private source AI, business leaders, AI deployment strategy, flexibility in AI.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

This episode is for anyone who is struggling with how they're using AI for their creative hobbies. It's one thing to outsource washing the dishes to the Maytag Dishwasher. It's another thing to outsource what I talk about on this podcast to ChatGPT. AI has been giving me a run for my money and my creativity. I am no longer using it for this podcast.You can email me at talktopeoplepodcast@gmail.comAn easy way to send me a message? Click the link here.Have you enjoyed the podcast? If so, follow it, rate it, and share it with three people: Follow on Apple Podcasts Follow on Spotify Follow on Instagram Subscribe on YouTube If you want to share feedback, have a great idea, or have a question then email me: talktopeoplepodcast@gmail.comProduced by Capture Connection Studios: captureconnectionstudios.com

The U.S. government has renewed funding for the Common Vulnerabilities and Exposures (CVE) Program, a critical database for tracking cybersecurity flaws, just hours before its funding was set to expire. Established 25 years ago, the CVE program assigns unique identifiers to security vulnerabilities, facilitating consistent communication across the cybersecurity landscape. The renewal of funding comes amid concerns that without it, new vulnerabilities could go untracked, posing risks to national security and critical infrastructure. In response to the funding uncertainty, two initiatives emerged: the CVE Foundation, a nonprofit aimed at ensuring the program's independence, and the Global CVE Allocation System, a decentralized platform introduced by the European Union.In addition to the CVE funding situation, Oregon Senator Ron Wyden has blocked the nomination of Sean Planky to lead the Cybersecurity and Infrastructure Security Agency (CISA) due to the agency's refusal to release a crucial unclassified report from 2022. This report details security issues within U.S. telecommunications companies, which Wyden claims represent a multi-year cover-up of negligent cybersecurity practices. The senator argues that the public deserves access to this information, especially in light of recent cyber threats, including the SALT typhoon hack that compromised sensitive communications.The cybersecurity landscape is further complicated by significant layoffs at CISA, which could affect nearly 40% of its workforce, potentially weakening U.S. national security amid rising cyber threats. Recent cuts have already impacted critical personnel, including threat hunters, which could hinder the agency's ability to share vital threat intelligence with the private sector. Meanwhile, the Defense Digital Service at the Pentagon is facing a mass resignation of nearly all its staff, following pressure from the Department of Government Efficiency, which could effectively shut down the program designed to accelerate technology adoption during national security crises.On the technology front, OpenAI has released new AI reasoning models, O3 and O4 Mini, but notably did not provide a safety report for the new GPT-4.1 model, raising concerns about transparency and accountability in AI development. The lack of a safety report is particularly alarming as AI systems become more integrated into client-facing tools. Additionally, SolarWinds Corporation has been acquired by Ternerva Capital, prompting managed service providers (MSPs) to reassess their dependencies on SolarWinds products and consider the implications for product roadmaps and support guarantees. Four things to know today 00:00 From Panic to Pivot: U.S. Saves CVE Program at the Eleventh Hour04:17 A Cybersecurity Meltdown: One Senator Blocks, Another Leader Quits, and a Whole Pentagon Team Walks Out08:54 OpenAI Just Leveled Up AI Reasoning—But Left Out the Fine Print11:45 SolarWinds Is Private Again: What That Means for MSPs Watching the Roadmap  Supported by:  https://www.huntress.com/mspradio/ https://cometbackup.com/?utm_source=mspradio&utm_medium=podcast&utm_campaign=sponsorship   Join Dave April 22nd to learn about Marketing in the AI Era.  Signup here:  https://hubs.la/Q03dwWqg0 All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Explore how AI and edge computing are transforming industrial innovation with Tim van der Horst, Director of Europe at OnLogic. In this episode, Tim unpacks how OnLogic is redefining B2B hardware by delivering consumer-grade experiences in industrial environments. He shares how the team is scaling efficiently, controlling costs, and pushing the boundaries of what's possible when AI and edge technologies converge. Tune in for expert insights from the cutting edge of tech and innovation.

In today's MadTech Daily, we explore the decline in news ad spend, Meta's decision to begin training its AI models on public content in the EU, and Barb's beta launch of overnight commercial spot ratings.

Aidan joined this week's Unsupervised Learning for a wide-ranging conversation on model architectures, enterprise adoption, and what's breaking in the foundation model stack. If you're building or investing in AI infrastructure, Aidan is worth listening to. He co-authored the original Transformer paper, leads one of the most advanced model labs outside of the hyperscalers, and is now building for real-world enterprise deployment with Cohere's agent platform, North. Cohere serves thousands of customers across sectors like finance, telco, and healthcare — and they've made a name for themselves by staying model-agnostic, privacy-forward, and deeply international (with major bets in Japan and Korea) (0:00) Intro(0:32) Enterprise AI(3:23) Custom Integrations and Future of AI Agents(4:33) Enterprise Use Cases for Gen AI(7:02) The Importance of Reasoning in AI Models(10:38) Custom Models and Synthetic Data(17:48) Cohere's Approach to AI Applications(23:24) Future Use Cases and Market Fit(27:11) Building a Unified Automation Platform(27:34) Strategic Decisions in the AI Journey(29:19) International Partnerships and Language Models(31:05) Future of Foundation Models(32:27) AI in Specialized Domains(34:40) Challenges in Data Integration(35:06) Emerging Foundation Model Companies(35:31) Technological Frontiers and Architectures(37:29) Scaling Hypothesis and Model Capabilities(42:26) AI Research Culture and Team Building(44:39) Future of AI and Societal Impact(48:31) Addressing AI Risks With your co-hosts:  @jacobeffron  - Partner at Redpoint, Former PM Flatiron Health  @patrickachase  - Partner at Redpoint, Former ML Engineer LinkedIn  @ericabrescia  - Former COO Github, Founder Bitnami (acq'd by VMWare)  @jordan_segall  - Partner at Redpoint

NVIDIA will make AI chips and supercomputers in the US, Intel is selling off a majority stake in chip-maker Altera, and Meta will start using data from EU users to train its AI models. It's Tuesday, April 15th and this is your morning tech news roundup from Engadget. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Industrial Talk is onsite at PowerGen 2025 and talking to Buddy Lee, Artificial Intelligence SME at Mesa Associates about "AI and Asset Management". Scott MacKenzie hosts an industrial podcast from Power Gen in Dallas, Texas, celebrating industry professionals and discussing innovations. Buddy Lee from Mesa Associates, an AI subject matter expert, shares his background in electrical engineering and reliability engineering. Buddy discusses the application of AI in asset management, particularly in detecting anomalies and predicting failures in industrial machinery. He highlights the importance of having a good data set for AI models, emphasizing the need for accurate and reliable data. Buddy also touches on the cultural challenges of implementing AI in industrial settings and the potential for AI to improve operational efficiency and reduce maintenance costs. Action Items [ ] Reach out to Buddy Lee to discuss further details on Mesa's AI-powered asset management solutions. [ ] Explore opportunities to instrument industrial equipment and collect relevant sensor data for AI/ML model development. [ ] Assess current maintenance practices and failure modes to determine if an FMEA-based AI approach could provide value. Outline Introduction and Welcome to Industrial Talk Podcast Scott MacKenzie introduces the Industrial Talk Podcast, emphasizing its focus on industry professionals and their innovations. Scott welcomes listeners to the platform, highlighting the importance of industry professionals in solving global problems. The podcast is broadcasting from Power Gen in Dallas, Texas, showcasing the latest innovations in the power generation industry. Scott mentions the excitement of the event and the opportunities to explore new technologies on the show floor. Introduction of Buddy Lee and His Background Scott introduces Buddy Lee from Mesa Associates, who has previously been a guest on the show. Buddy shares his background, mentioning his education at the University of Tennessee and Carson Newman College. Buddy discusses his degrees in church music, electrical engineering, MBA, and Masters of Engineering in reliability engineering. Scott notes Buddy's enthusiasm for Tennessee and his support for the University of Tennessee's football team. Discussion on Power Generation and AI in the Industry Buddy talks about his positive experience at the Power Gen conference, highlighting the technical information and new equipment available. They discuss the advancements in small modular reactors and AI in the hydro industry. Scott and Buddy touch on the role of AI in driving power demand, particularly in data centers. Buddy explains his role as the AI subject matter expert at Mesa Associates, focusing on industrial applications. Buddy's Thesis on AI Models and Data Sets Buddy shares his thesis on using AI models with limited data sets, specifically vibration analysis from a paper machine. He explains the process of comparing AI models to human analysts using a seven-year database of vibration data. Buddy highlights the accuracy of five AI models in predicting bearing failures, achieving 95% accuracy. Scott and Buddy discuss the differences between large language models and small data sets in AI applications. AI Applications in Industrial Asset Management ...

Notes and resources at  ocdevel.com/mlg/mla-23 Try a walking desk to stay healthy while you study or work! Model Current Leaders According to the Aider Leaderboard (as of April 12, 2025), leading models include for vibe-coding: Gemini 2.5 Pro Preview 03-25: most accurate and cost-effective option currently. Claude 3.7 Sonnet: Performs well in both architect and code modes with enabled reasoning flags. DeepSeek R1 with Claude 3.5 Sonnet: A popular combination for its balance of cost and performance between reasoning and non-reasoning tasks. Local Models Tools for Local Models: Ollama is the standard tool to manage local models, enabling usage without internet connectivity. Privacy and Security: Utilizing local models enhances data security, suitable for sensitive projects or corporate environments that require data to remain onsite. Performance Trade-offs: Local models, due to distillation and size constraints, often perform slightly worse than cloud-hosted models but offer privacy benefits. Fine-Tuning Models Customization: Developers can fine-tune pre-trained models to specialize them for their specific codebase, enhancing relevance and accuracy. Advanced Usage: Suitable for long-term projects, fine-tuning helps models understand unique aspects of a project, resulting in consistent code quality improvements. Tips and Best Practices Judicious Use of the @ Key: Improves model efficiency by specifying the context of commands, reducing the necessity for AI-initiated searches. Examples include specifying file paths, URLs, or git commits to inform AI actions more precisely. Concurrent Feature Implementation: Leverage tools like Boomerang mode to manage multiple features simultaneously, acting more as a manager overseeing several tasks at once, enhancing productivity. Continued Learning: Staying updated with documentation, particularly Roo Code's, due to its comprehensive feature set and versatility among AI coding tools.

In this installment of AI Corner, Siadhal Magos, Metaview CEO, and Nolan Church dissect Anthropic's groundbreaking paper “Tracing the thoughts of a large language model” released on March 27, 2025. They explore surprising findings: LLMs plan ahead rather than simply predicting next tokens, think across multiple languages simultaneously, and often present explanations that satisfy humans rather than reflecting their actual reasoning processes.The conversation highlights the paradox of developing powerful AI systems without understanding their workings, raising implications for deployment, safety, and the "intelligence on tap" paradigm reshaping our technological relationship. We should all be paying attention.Support HR Heretics Sponsors:Planful empowers teams just like yours to unlock the secrets of successful workforce planning. Use data-driven insights to develop accurate forecasts, close hiring gaps, and adjust talent acquisition plans collaboratively based on costs today and into the future. ✍️ Go to https://planful.com/heretics to see how you can transform your HR strategy.Metaview is the AI assistant for interviewing. Metaview completely removes the need for recruiters and hiring managers to take notes during interviews—because their AI is designed to take world-class interview notes for you. Team builders at companies like Brex, Hellofresh, and Quora say Metaview has changed the game—see the magic for yourself: https://www.metaview.ai/hereticsKEEP UP WITH SIADHAL, NOLAN + KELLI ON LINKEDINSiadhal: https://www.linkedin.com/in/siadhal/Nolan: https://www.linkedin.com/in/nolan-church/Kelli: https://www.linkedin.com/in/kellidragovich/—LINKS:Anthropic's featured paper: https://www.anthropic.com/news/tracing-thoughts-language-model Metaview: https://www.metaview.ai/—OTHER RECOMMENDED LINKS:Mercor: https://mercor.com/—TIMESTAMPS(00:13) Intro(00:45) Anthropic's Mind-Blowing Paper (01:37) LLMs Think Across Languages (02:04) Faked Reasoning in AI Models (02:28) AI Hallucinations Explained (03:00) First Paragraph Reveals Uncertainty (05:18) Beyond Next Token Prediction (07:23) Evaluating LLMs Without Understanding (08:44) More Human Than Software (10:05) Why You Should Experiment With AI (11:13) The Airplane Analogy (12:26) Safety Concerns for Future AI (12:54) Sponsors: Planful | Metaview(16:27) Dario Amodei on AI Self-Policing (18:05) OpenAI's $300B Valuation (19:33) Intelligence on Tap (22:02) Retraining Google Habits (24:35) Agentic AI & Reinforcement Learning (27:15) Human Training for AI Models (30:25) Wrap This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hrheretics.substack.com

Join Tom Shaughnessy as he hosts Travis Good, CEO and co-founder of Ambient, for a deep dive into the world's first useful proof-of-work blockchain powered by AI. Fresh out of stealth, Ambient reimagines the intersection of crypto and AI by creating a decentralized network where mining secures the chain through verified AI inference on a 600B+ parameter model.

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A "White Lotus" creative beef, BOOB TUBE: "Love on the Spectrum" and "Liza," and H&M to use AI models Learn more about your ad choices. Visit podcastchoices.com/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

A "White Lotus" creative beef, BOOB TUBE: "Love on the Spectrum" and "Liza," and H&M to use AI models Learn more about your ad choices. Visit podcastchoices.com/adchoices

Eiso Kant, CTO of poolside AI, discusses the company's approach to building frontier AI foundation models, particularly focused on software development. Their unique strategy is reinforcement learning from code execution feedback which is an important axis for scaling AI capabilities beyond just increasing model size or data volume. Kant predicts human-level AI in knowledge work could be achieved within 18-36 months, outlining poolside's vision to dramatically increase software development productivity and accessibility. SPONSOR MESSAGES:***Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich. Goto https://tufalabs.ai/***Eiso Kant:https://x.com/eisokanthttps://poolside.ai/TRANSCRIPT:https://www.dropbox.com/scl/fi/szepl6taqziyqie9wgmk9/poolside.pdf?rlkey=iqar7dcwshyrpeoz0xa76k422&dl=0TOC:1. Foundation Models and AI Strategy [00:00:00] 1.1 Foundation Models and Timeline Predictions for AI Development [00:02:55] 1.2 Poolside AI's Corporate History and Strategic Vision [00:06:48] 1.3 Foundation Models vs Enterprise Customization Trade-offs2. Reinforcement Learning and Model Economics [00:15:42] 2.1 Reinforcement Learning and Code Execution Feedback Approaches [00:22:06] 2.2 Model Economics and Experimental Optimization3. Enterprise AI Implementation [00:25:20] 3.1 Poolside's Enterprise Deployment Strategy and Infrastructure [00:26:00] 3.2 Enterprise-First Business Model and Market Focus [00:27:05] 3.3 Foundation Models and AGI Development Approach [00:29:24] 3.4 DeepSeek Case Study and Infrastructure Requirements4. LLM Architecture and Performance [00:30:15] 4.1 Distributed Training and Hardware Architecture Optimization [00:33:01] 4.2 Model Scaling Strategies and Chinchilla Optimality Trade-offs [00:36:04] 4.3 Emergent Reasoning and Model Architecture Comparisons [00:43:26] 4.4 Balancing Creativity and Determinism in AI Models [00:50:01] 4.5 AI-Assisted Software Development Evolution5. AI Systems Engineering and Scalability [00:58:31] 5.1 Enterprise AI Productivity and Implementation Challenges [00:58:40] 5.2 Low-Code Solutions and Enterprise Hiring Trends [01:01:25] 5.3 Distributed Systems and Engineering Complexity [01:01:50] 5.4 GenAI Architecture and Scalability Patterns [01:01:55] 5.5 Scaling Limitations and Architectural Patterns in AI Code Generation6. AI Safety and Future Capabilities [01:06:23] 6.1 Semantic Understanding and Language Model Reasoning Approaches [01:12:42] 6.2 Model Interpretability and Safety Considerations in AI Systems [01:16:27] 6.3 AI vs Human Capabilities in Software Development [01:33:45] 6.4 Enterprise Deployment and Security ArchitectureCORE REFS (see shownotes for URLs/more refs):[00:15:45] Research demonstrating how training on model-generated content leads to distribution collapse in AI models, Ilia Shumailov et al. (Key finding on synthetic data risk)[00:20:05] Foundational paper introducing Word2Vec for computing word vector representations, Tomas Mikolov et al. (Seminal NLP technique)[00:22:15] OpenAI O3 model's breakthrough performance on ARC Prize Challenge, OpenAI (Significant AI reasoning benchmark achievement)[00:22:40] Seminal paper proposing a formal definition of intelligence as skill-acquisition efficiency, François Chollet (Influential AI definition/philosophy)[00:30:30] Technical documentation of DeepSeek's V3 model architecture and capabilities, DeepSeek AI (Details on a major new model)[00:34:30] Foundational paper establishing optimal scaling laws for LLM training, Jordan Hoffmann et al. (Key paper on LLM scaling)[00:45:45] Seminal essay arguing that scaling computation consistently trumps human-engineered solutions in AI, Richard S. Sutton (Influential "Bitter Lesson" perspective)

Artificial intelligence is everywhere—shaping how we work, think, and even how we manage our ADHD. But is AI a game-changing cognitive assistant or just another digital white whale primed to swallow our focus whole?This week, Pete Wright and his AI-curious co-pilot Nikki Kinzer embark on tour of ADHD and AI. With AI tools evolving at a dizzying pace, the duo explores how these technologies can either empower or derail neurodivergent minds.Throughout the episode, they share some of the tools making waves in the ADHD community, from AI-powered task managers like Motion and Reclaim to text-based assistants like ChatGPT and Claude. They also unpack the critical distinction between AI as a thought partner versus an unreliable oracle—one that is often confidently wrong.But AI isn't just about efficiency. Pete and Nikki probe the philosophical and ethical dilemmas AI presents: Is AI truly augmenting human potential, or are we handing over too much cognitive agency to machines?Links & NotesSupport the Show on PatreonDig into the podcast Shownotes DatabaseJoin the ADHD Discord communityExplore AI tools we talked about on the showMotion AIReclaim AITodoist AINotion AICodaPoe AIPerplexity AIBrain.fm (00:00) - Welcome to Taking Control: The ADHD Podcast (01:57) - Support the Show: Become A Patron! (03:51) - AI (08:21) - ADHD & Your AI Sidekick (11:53) - AI Models (18:38) - Sidebar: Perplexity AI (21:04) - AI Tools ★ Support this podcast on Patreon ★

The stock market has been a tad volatile lately. But this month, the digital physical therapy company Hinge Health filed for an initial public offering. Plus, a new tool out of Stanford University evaluates how various AI models perform in real-world health care. It grades them on tasks from patient education to clinical note generation. But first, Nvidia just hosted its annual GTC confab, where it announced a whole lot of collaborations and, of course, some new and improved chips. Main takeaway: The company has its fingers in a bunch of AI pies. Marketplace's Meghan McCarty Carino discusses all of this with Christina Farr, managing director at Manatt Health.

The stock market has been a tad volatile lately. But this month, the digital physical therapy company Hinge Health filed for an initial public offering. Plus, a new tool out of Stanford University evaluates how various AI models perform in real-world health care. It grades them on tasks from patient education to clinical note generation. But first, Nvidia just hosted its annual GTC confab, where it announced a whole lot of collaborations and, of course, some new and improved chips. Main takeaway: The company has its fingers in a bunch of AI pies. Marketplace's Meghan McCarty Carino discusses all of this with Christina Farr, managing director at Manatt Health.

Generative AI is built on three key resources: people, compute and data. While companies invest heavily in the first two, they often use unlicensed creative work as training data without permission or payment — a practice that pits AI against the very creators it relies on. AI expert Ed Newton-Rex has a solution: licensing. He unpacks the dark side of today's AI models and outlines a plan to ensure that both AI companies and creators can thrive together. Hosted on Acast. See acast.com/privacy for more information.