Podcasts about scale ai

Jason Droege is the CEO of Scale AI, a company that provides foundational training data to every major AI lab. He previously co-founded Scour with Travis Kalanick and built Uber Eats from idea to $20 billion in revenue. In this conversation, Jason shares lessons from getting sued for $250 billion, discovering restaurant economics by weighing sandwich ingredients, and over 25 years of launching transformative technology businesses.What you'll learn:What actually happened with Meta's $14 billion investment in Scale AIWhy AI models still need human experts to improve, and how that relationship is evolvingHow AI models learn from experts building websites and debugging codeThe business lessons from building Uber Eats from zero to $20 billionWhy most enterprise data is useless for AI models todayWhy urgent daily problems beat super-valuable occasional problems when building productsHow to think independently when building new products and businesses—Brought to you by:Merge—The fastest way to ship 220+ integrations: http://merge.dev/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Mercury—The art of simplified finances: https://mercury.com/—Transcript: https://www.lennysnewsletter.com/p/first-interview-with-scale-ais-ceo-jason-droege—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/174979621/my-biggest-takeaways-from-this-conversation—Where to find Jason Droege:• X: https://x.com/jdroege• LinkedIn: https://www.linkedin.com/in/jasondroege/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jason Droege(06:01) Jason's early career and lessons learned(10:27) The current state of Scale AI(12:37) The shift to expert data labeling(17:02) Challenges and strategies in finding experts(18:48) Reinforcement learning and AI environments(28:18) The future of AI and human involvement(31:21) The role of evals(35:25) What AI models will look like in the next few years(41:43) Building Uber Eats and understanding customer needs(48:19) The importance of independent thinking(50:45) Setting high standards for new businesses(53:03) Exploring and selecting business ideas(57:07) The McDonald's story(01:00:13) The role of gross margins in business feasibility(01:04:49) Why Jason says, “Not losing is a precursor to winning”(01:09:12) Hiring and building teams(01:12:11) AI corner(01:14:47) Lightning round and final thoughts—Referenced:• Travis Kalanick on X: https://x.com/travisk• Scour: https://en.wikipedia.org/wiki/Scour_Inc.• Scale: https://scale.com/• Alexandr Wang on X: https://x.com/alexandr_wang• Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody (CEO of Mercor): https://www.lennysnewsletter.com/p/experts-writing-ai-evals-brendan-foody• Brendan Foody's post on X about knowledge work changing: https://x.com/BrendanFoody/status/1970163503702188048• MIT Finds 95% of GenAI Pilots Fail Because Companies Avoid Friction: https://www.forbes.com/sites/jasonsnyder/2025/08/26/mit-finds-95-of-genai-pilots-fail-because-companies-avoid-friction/• Uber Eats: https://www.ubereats.com/• Stephen Chau on X: https://x.com/thestephenchau• a16z Podcast: https://a16z.com/podcasts/a16z-podcast/• F1: The Movie: https://www.imdb.com/title/tt16311594/• V03: https://v03ai.com/• Careers at Scale: https://scale.com/careers—Recommended books:• The Selfish Gene: https://www.amazon.com/Selfish-Gene-Anniversary-Introduction/dp/0199291152• The Road Less Traveled: A New Psychology of Love, Traditional Values, and Spiritual Growth: https://www.amazon.com/Road-Less-Traveled-Timeless-Traditional/dp/0743243153/• Good to Great: Why Some Companies Make the Leap . . . And Others Don't: https://www.amazon.com/Good-Great-Some-Companies-Others/dp/0066620996• Thinking, Fast and Slow: https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Too many companies see AI only as a cost-cutting shortcut, rolling out rushed AI deployments that frustrate customers. But the real opportunity lies in everyday AI: using it to handle what humans don't do well, so people can focus on what they do best—building authentic customer relationships. This week on The Modern Customer Podcast, Henrik Werdelin, founder of BARK, Prehype, Audos, and co-author of Me, My Customer, and AI, shares how everyday AI can transform CX. Highlights from the podcast: ➡️ AI Beyond Efficiency — Instead of just automating tasks, AI expands human capability and frees teams to focus on authentic customer connections. ➡️ Listening at Scale — AI makes it possible to instantly analyze thousands of customer comments, delivering insights that go far deeper than NPS scores. ➡️ Strengthening Relationship Capital — With AI, brands can build customer loyalty through three layers: depth (feeling seen), density (community), and durability (long-term trust). ➡️ Empowering Everyday Entrepreneurs — AI lowers barriers to entry, enabling more people to create businesses that solve real customer problems and build lasting relationships.

Datumo is carving out its identity as a challenger brand to Scale AI. Its strategy focuses on efficiency, transparency, and accessibility. Whether it succeeds could redefine how the world trains AI systems.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

Datumo's bold challenge to Scale AI raises critical questions about the future of data labeling and AI support systems. If successful, it could decentralize power in the AI market. The move is drawing global attention from investors and technologists.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

This is a free preview of a paid episode. To hear more, visit sub.thursdai.newsHola AI aficionados, it's yet another ThursdAI, and yet another week FULL of AI news, spanning Open Source LLMs, Multimodal video and audio creation and more! Shiptember as they call it does seem to deliver, and it was hard even for me to follow up on all the news, not to mention we had like 3-4 breaking news during the show today! This week was yet another Qwen-mas, with Alibaba absolutely dominating across open source, but also NVIDIA promising to invest up to $100 Billion into OpenAI. So let's dive right in! As a reminder, all the show notes are posted at the end of the article for your convenience. ThursdAI - Because weeks are getting denser, but we're still here, weekly, sending you the top AI content! Don't miss outTable of Contents* Open Source AI* Qwen3-VL Announcement (Qwen3-VL-235B-A22B-Thinking):* Qwen3-Omni-30B-A3B: end-to-end SOTA omni-modal AI unifying text, image, audio, and video* DeepSeek V3.1 Terminus: a surgical bugfix that matters for agents* Evals & Benchmarks: agents, deception, and code at scale* Big Companies, Bigger Bets!* OpenAI: ChatGPT Pulse: Proactive AI news cards for your day* XAI Grok 4 fast - 2M context, 40% fewer thinking tokens, shockingly cheap* Alibaba Qwen-Max and plans for scaling* This Week's Buzz: W&B Fully Connected is coming to London and Tokyo & Another hackathon in SF* Vision & Video: Wan 2.2 Animate, Kling 2.5, and Wan 4.5 preview* Moondream-3 Preview - Interview with co-founders Via & Jay* Wan open sourced Wan 2.2 Animate (aka “Wan Animate”): motion transfer and lip sync* Kling 2.5 Turbo: cinematic motion, cheaper and with audio* Wan 4.5 preview: native multimodality, 1080p 10s, and lip-synced speech* Voice & Audio* ThursdAI - Sep 25, 2025 - TL;DR & Show notesOpen Source AIThis was a Qwen-and-friends week. I joked on stream that I should just count how many times “Alibaba” appears in our show notes. It's a lot.Qwen3-VL Announcement (Qwen3-VL-235B-A22B-Thinking): (X, HF, Blog, Demo)Qwen 3 launched earlier as a text-only family; the vision-enabled variant just arrived, and it's not timid. The “thinking” version is effectively a reasoner with eyes, built on a 235B-parameter backbone with around 22B active (their mixture-of-experts trick). What jumped out is the breadth of evaluation coverage: MMU, video understanding (Video-MME, LVBench), 2D/3D grounding, doc VQA, chart/table reasoning—pages of it. They're showing wins against models like Gemini 2.5 Pro and GPT‑5 on some of those reports, and doc VQA is flirting with “nearly solved” territory in their numbers.Two caveats. First, whenever scores get that high on imperfect benchmarks, you should expect healthy skepticism; known label issues can inflate numbers. Second, the model is big. Incredible for server-side grounding and long-form reasoning with vision (they're talking about scaling context to 1M tokens for two-hour video and long PDFs), but not something you throw on a phone.Still, if your workload smells like “reasoning + grounding + long context,” Qwen 3 VL looks like one of the strongest open-weight choices right now.Qwen3-Omni-30B-A3B: end-to-end SOTA omni-modal AI unifying text, image, audio, and video (HF, GitHub, Qwen Chat, Demo, API)Omni is their end-to-end multimodal chat model that unites text, image, and audio—and crucially, it streams audio responses in real time while thinking separately in the background. Architecturally, it's a 30B MoE with around 3B active parameters at inference, which is the secret to why it feels snappy on consumer GPUs.In practice, that means you can talk to Omni, have it see what you see, and get sub-250 ms replies in nine speaker languages while it quietly plans. It claims to understand 119 languages. When I pushed it in multilingual conversational settings it still code-switched unexpectedly (Chinese suddenly appeared mid-flow), and it occasionally suffered the classic “stuck in thought” behavior we've been seeing in agentic voice modes across labs. But the responsiveness is real, and the footprint is exciting for local speech streaming scenarios. I wouldn't replace a top-tier text reasoner with this for hard problems, yet being able to keep speech native is a real UX upgrade.Qwen Image Edit, Qwen TTS Flash, and Qwen‑GuardQwen's image stack got a handy upgrade with multi-image reference editing for more consistent edits across shots—useful for brand assets and style-tight workflows. TTS Flash (API-only for now) is their fast speech synth line, and Q‑Guard is a new safety/moderation model from the same team. It's notable because Qwen hasn't really played in the moderation-model space before; historically Meta's Llama Guard led that conversation.DeepSeek V3.1 Terminus: a surgical bugfix that matters for agents (X, HF)DeepSeek whale resurfaced to push a small 0.1 update to V3.1 that reads like a “quality and stability” release—but those matter if you're building on top. It fixes a code-switching bug (the “sudden Chinese” syndrome you'll also see in some Qwen variants), improves tool-use and browser execution, and—importantly—makes agentic flows less likely to overthink and stall. On the numbers, Humanities Last Exam jumped from 15 to 21.7, while LiveCodeBench dipped slightly. That's the story here: they traded a few raw points on coding for more stable, less dithery behavior in end-to-end tasks. If you've invested in their tool harness, this may be a net win.Liquid Nanos: small models that extract like they're big (X, HF)Liquid Foundation Models released “Liquid Nanos,” a set of open models from roughly 350M to 2.6B parameters, including “extract” variants that pull structure (JSON/XML/YAML) from messy documents. The pitch is cost-efficiency with surprisingly competitive performance on information extraction tasks versus models 10× their size. If you're doing at-scale doc ingestion on CPUs or small GPUs, these look worth a try.Tiny IBM OCR model that blew up the charts (HF)We also saw a tiny IBM model (about 250M parameters) for image-to-text document parsing trending on Hugging Face. Run in 8-bit, it squeezes into roughly 250 MB, which means Raspberry Pi and “toaster” deployments suddenly get decent OCR/transcription against scanned docs. It's the kind of tiny-but-useful release that tends to quietly power entire products.Meta's 32B Code World Model (CWM) released for agentic code reasoning (X, HF)Nisten got really excited about this one, and once he explained it, I understood why. Meta released a 32B code world model that doesn't just generate code - it understands code the way a compiler does. It's thinking about state, types, and the actual execution context of your entire codebase.This isn't just another coding model - it's a fundamentally different approach that could change how all future coding models are built. Instead of treating code as fancy text completion, it's actually modeling the program from the ground up. If this works out, expect everyone to copy this approach.Quick note, this one was released with a research license only! Evals & Benchmarks: agents, deception, and code at scaleA big theme this week was “move beyond single-turn Q&A and test how these things behave in the wild.” with a bunch of new evals released. I wanted to cover them all in a separate segment. OpenAI's GDP Eval: “economically valuable tasks” as a bar (X, Blog)OpenAI introduced GDP Eval to measure model performance against real-world, economically valuable work. The design is closer to how I think about “AGI as useful work”: 44 occupations across nine sectors, with tasks judged against what an industry professional would produce.Two details stood out. First, OpenAI's own models didn't top the chart in their published screenshot—Anthropic's Claude Opus 4.1 led with roughly a 47.6% win rate against human professionals, while GPT‑5-high clocked in around 38%. Releasing a benchmark where you're not on top earns respect. Second, the tasks are legit. One example was a manufacturing engineer flow where the output required an overall design with an exploded view of components—the kind of deliverable a human would actually make.What I like here isn't the precise percent; it's the direction. If we anchor progress to tasks an economy cares about, we move past “trivia with citations” and toward “did this thing actually help do the work?”GAIA 2 (Meta Super Intelligence Labs + Hugging Face): agents that execute (X, HF)MSL and HF refreshed GAIA, the agent benchmark, with a thousand new human-authored scenarios that test execution, search, ambiguity handling, temporal reasoning, and adaptability—plus a smartphone-like execution environment. GPT‑5-high led across execution and search; Kimi's K2 was tops among open-weight entries. I like that GAIA 2 bakes in time and budget constraints and forces agents to chain steps, not just spew plans. We need more of these.Scale AI's “SWE-Bench Pro” for coding in the large (HF)Scale dropped a stronger coding benchmark focused on multi-file edits, 100+ line changes, and large dependency graphs. On the public set, GPT‑5 (not Codex) and Claude Opus 4.1 took the top two slots; on a commercial set, Opus edged ahead. The broader takeaway: the action has clearly moved to test-time compute, persistent memory, and program-synthesis outer loops to get through larger codebases with fewer invalid edits. This aligns with what we're seeing across ARC‑AGI and SWE‑bench Verified.The “Among Us” deception test (X)One more that's fun but not frivolous: a group benchmarked models on the social deception game Among Us. OpenAI's latest systems reportedly did the best job both lying convincingly and detecting others' lies. This line of work matters because social inference and adversarial reasoning show up in real agent deployments—security, procurement, negotiations, even internal assistant safety.Big Companies, Bigger Bets!Nvidia's $100B pledge to OpenAI for 10GW of computeLet's say that number again: one hundred billion dollars. Nvidia announced plans to invest up to $100B into OpenAI's infrastructure build-out, targeting roughly 10 gigawatts of compute and power. Jensen called it the biggest infrastructure project in history. Pair that with OpenAI's Stargate-related announcements—five new datacenters with Oracle and SoftBank and a flagship site in Abilene, Texas—and you get to wild territory fast.Internal notes circulating say OpenAI started the year around 230MW and could exit 2025 north of 2GW operational, while aiming at 20GW in the near term and a staggering 250GW by 2033. Even if those numbers shift, the directional picture is clear: the GPU supply and power curves are going vertical.Two reactions. First, yes, the “infinite money loop” memes wrote themselves—OpenAI spends on Nvidia GPUs, Nvidia invests in OpenAI, the market adds another $100B to Nvidia's cap for good measure. But second, the underlying demand is real. If we need 1–8 GPUs per “full-time agent” and there are 3+ billion working adults, we are orders of magnitude away from compute saturation. The power story is the real constraint—and that's now being tackled in parallel.OpenAI: ChatGPT Pulse: Proactive AI news cards for your day (X, OpenAI Blog)In a #BreakingNews segment, we got an update from OpenAI, that currently works only for Pro users but will come to everyone soon. Proactive AI, that learns from your chats, email and calendar and will show you a new “feed” of interesting things every morning based on your likes and feedback! Pulse marks OpenAI's first step toward an AI assistant that brings the right info before you ask, tuning itself with every thumbs-up, topic request, or app connection. I've tuned mine for today, we'll see what tomorrow brings! P.S - Huxe is a free app from the creators of NotebookLM (Ryza was on our podcast!) that does a similar thing, so if you don't have pro, check out Huxe, they just launched! XAI Grok 4 fast - 2M context, 40% fewer thinking tokens, shockingly cheap (X, Blog)xAI launched Grok‑4 Fast, and the name fits. Think “top-left” on the speed-to-cost chart: up to 2 million tokens of context, a reported 40% reduction in reasoning token usage, and a price tag that's roughly 1% of some frontier models on common workloads. On LiveCodeBench, Grok‑4 Fast even beat Grok‑4 itself. It's not the most capable brain on earth, but as a high-throughput assistant that can fan out web searches and stitch answers in something close to real time, it's compelling.Alibaba Qwen-Max and plans for scaling (X, Blog, API)Back in the Alibaba camp, they also released their flagship API model, Qwen 3 Max, and showed off their future roadmap. Qwen-max is over 1T parameters, MoE that gets 69.6 on Swe-bench verified and outperforms GPT-5 on LMArena! And their plan is simple: scale. They're planning to go from 1 million to 100 million token context windows and scale their models into the terabytes of parameters. It culminated in a hilarious moment on the show where we all put on sunglasses to salute a slide from their presentation that literally said, “Scaling is all you need.” AGI is coming, and it looks like Alibaba is one of the labs determined to scale their way there. Their release schedule lately (as documented by Swyx from Latent.space) is insane. This Week's Buzz: W&B Fully Connected is coming to London and Tokyo & Another hackathon in SFWeights & Biases (now part of the CoreWeave family) is bringing Fully Connected to London on Nov 4–5, with another event in Tokyo on Oct 31. If you're in Europe or Japan and want two days of dense talks and hands-on conversations with teams actually shipping agents, evals, and production ML, come hang out. Readers got a code on stream; if you need help getting a seat, ping me directly.Links: fullyconnected.comWe are also opening up registrations to our second WeaveHacks hackathon in SF, October 11-12, yours trully will be there, come hack with us on Self Improving agents! Register HEREVision & Video: Wan 2.2 Animate, Kling 2.5, and Wan 4.5 previewThis is the most exciting space in AI week-to-week for me right now. The progress is visible. Literally.Moondream-3 Preview - Interview with co-founders Via & JayWhile I've already reported on Moondream-3 in the last weeks newsletter, this week we got the pleasure of hosting Vik Korrapati and Jay Allen the co-founders of MoonDream to tell us all about it. Tune in for that conversation on the pod starting at 00:33:00Wan open sourced Wan 2.2 Animate (aka “Wan Animate”): motion transfer and lip sync Tongyi's Wan team shipped an open-source release that the community quickly dubbed “Wanimate.” It's a character-swap/motion transfer system: provide a single image for a character and a reference video (your own motion), and it maps your movement onto the character with surprisingly strong hair/cloth dynamics and lip sync. If you've used runway's Act One, you'll recognize the vibe—except this is open, and the fidelity is rising fast.The practical uses are broader than “make me a deepfake.” Think onboarding presenters with perfect backgrounds, branded avatars that reliably say what you need, or precise action blocking without guessing at how an AI will move your subject. You act it; it follows.Kling 2.5 Turbo: cinematic motion, cheaper and with audioKling quietly rolled out a 2.5 Turbo tier that's 30% cheaper and finally brings audio into the loop for more complete clips. Prompts adhere better, physics look more coherent (acrobatics stop breaking bones across frames), and the cinematic look has moved from “YouTube short” to “film-school final.” They seeded access to creators and re-shared the strongest results; the consistency is the headline. (Source X: @StevieMac03)I've chatted with my kiddos today over facetime, and they were building minecraft creepers. I took a screenshot, sent to Nano Banana to make their creepers into actual minecraft ones, and then with Kling, Animated the explosions for them. They LOVED it! Animations were clear, while VEO refused for me to even upload their images, Kling didn't care hahaWan 4.5 preview: native multimodality, 1080p 10s, and lip-synced speechWan also teased a 4.5 preview that unifies understanding and generation across text, image, video, and audio. The eye-catching bit: generate a 1080p, 10-second clip with synced speech from just a script. Or supply your own audio and have it lip-sync the shot. I ran my usual “interview a polar bear dressed like me” test and got one of the better results I've seen from any model. We're not at “dialogue scene” quality, but “talking character shot” is getting… good. The generation of audio (not only text + lipsync) is one of the best ones besides VEO, it's really great to see how strongly this improves, sad that this wasn't open sourced! And apparently it supports “draw text to animate” (Source: X) Voice & AudioSuno V5: we've entered the “I can't tell anymore” eraSuno calls V5 a redefinition of audio quality. I'll be honest, I'm at the edge of my subjective hearing on this. I've caught myself listening to Suno streams instead of Spotify and forgetting anything is synthetic. The vocals feel more human, the mixes cleaner, and the remastering path (including upgrading V4 tracks) is useful. The last 10% to “you fooled a producer” is going to be long, but the distance between V4 and V5 already makes me feel like I should re-cut our ThursdAI opener.MiMI Audio: a small omni-chat demo that hints at the floorWe tried a MiMI Audio demo live—a 7B-ish model with speech in/out. It was responsive but stumbled on singing and natural prosody. I'm leaving it in here because it's a good reminder that the open floor for “real-time voice” is rising quickly even for small models. And the moment you pipe a stronger text brain behind a capable, native speech front-end, the UX leap is immediate.Ok, another DENSE week that finishes up Shiptember, tons of open source, Qwen (Tongyi) shines, and video is getting so so good. This is all converging folks, and honestly, I'm just happy to be along for the ride! This week was also Rosh Hashanah, which is the Jewish new year, and I've shared on the pod that I've found my X post from 3 years ago, using the state of the art AI models of the time. WHAT A DIFFERENCE 3 years make, just take a look, I had to scale down the 4K one from this year just to fit into the pic! Shana Tova to everyone who's reading this, and we'll see you next week

AI Daily Rundown: September 24, 2025: Your daily briefing on the real world business impact of AIListen at https://podcasts.apple.com/us/podcast/ai-tech-daily-news-rundown-microsoft-is-building-an/id1684415169?i=1000728287736

Meta präsentiert neue AR-Brillen mit Display, während die Live-Demo spektakulär scheitert. Nvidia investiert 5 Milliarden Dollar in Intel und weitere 2 Milliarden in britische Startups. Google integriert Gemini direkt in Chrome und verhandelt mit Reddit über dynamischere Datendeals. Jimmy Kimmel verliert seinen Late-Night-Job durch politischen Druck. TikTok-Deal zwischen Larry Ellison und Andreessen Horowitz rückt näher. XAI verliert weitere Führungskräfte. DeepSeek schreibt schlechteren Code für China-kritische Gruppen. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über:   (00:00:00) Intro  (00:05:00) Meta AR-Brillen (00:12:10) Nvidia investiert in Intel (00:18:50) Google Gemini in Chrome (00:21:30) Reddit verhandelt mit Google (00:23:55) Jimmy Kimmel (00:41:45) TikTok-Deal Update (00:45:00) XAI-Führungskrise (00:49:35) Scale AI, Anthropic, DeepSeek  Shownotes Mark Zuckerberg verspricht neue Smart Glasses für 'Superintelligenz' – ft.com Nvidia investiert $5 Mrd. in Konkurrent Intel – ft.com Nvidia investiert £2 Milliarden in britische KI-Startups – bloomberg.com Google integriert Gemini in Chrome: KI-Browser werden Mainstream – wired.com Reddit plant nächsten KI-Inhaltspakt mit Google, OpenAI – bloomberg.com TikTok, Jimmy Kimmel: Trumps mediale Gleichschaltungsstrategie – spiegel.de Trump "faktisch falsch" in Verleumdungsklage, sagt NYT-Redakteur – axios.com TikToks neue Investoren in den USA unklar – theinformation.com Konflikte zwischen xAI-Führungskräften und Elon Musks Beratern vor Abgang – wsj.com Scale AI schließt Abkommen mit Pentagon ab – axios.com AI-Firma DeepSeek schreibt unsicheren Code für von China benachteiligte Gruppen – washingtonpost.com FBI bereitet neuen Krieg gegen Trans-Personen vor – kenklippenstein.com AI-Chip-Startup Groq erhält $750 Millionen bei $6,9 Milliarden Bewertung – bloomberg.com Anthropic verärgert das Weiße Haus mit Nutzungsbeschränkungen – semafor.com Gemini AI löst Programmierproblem, das 139 menschliche Teams beim ICPC-Weltfinale überforderte – arstechnica.com

(0:00) Intro(1:30) About the podcast sponsor: The American College of Governance Counsel(2:16) Start of interview. *Reference to E181 (July 2025) for Steven's personal/professional background.(3:14) IPOs and Market Trends. Including Klarna and Gemini.(5:29) The Stay Private vs. Go Public Dilemma. Valuations and market health (examples of Airbnb and Figma)(12:00) The Oracle post-earnings 36% price increase. *Reference to article by Tom Chavez: In Defense of Bubbles.(14:14) AI, Data Centers, and Market Dynamics(15:15) OpenAI's Future and Governance(20:12) Power Dynamics in Big Tech companies (Mag 7).(22:35) Tesla and Elon Musk Compensation Structure (Mega Grants)(24:53) Boardroom Accountability in Big Tech(28:31) Scale AI and L&A (Licensing & Acquihiring) as the new M&A(34:34) AI startup governance (e.g. SSI and Thinking Machine Labs)(36:41) The Role of Directors in Governance. "Theater in the boardroom?"(39:08) Startup Fraud (Elizabeth Holmes, SBF, etc) and the Startup Litigation Digest(40:05) Legal Accountability and Ethics (46:39) The Future of AI and Market Valuations in the "Agentic Economy"(51:43) The Importance of Board LeadershipSteven Wolfe Pereira founded Alpha to solve a critical problem: most boards are governing AI transformation without the frameworks, intelligence, or peer networks they need to make sound fiduciary decisions.  You can follow Evan on social media at:X: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/__To support this podcast you can join as a subscriber of the Boardroom Governance Newsletter at https://evanepstein.substack.com/__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License

Jason sits down with Wilson Sonsini partner Chris Paniewski for a special Startup Legal Basics on one of the thorniest questions in tech right now: how copyright law applies to AI training data.Chris has worked on some of the biggest AI deals ever — including Scale AI's $14B+ partnership with Meta and OpenAI's $6.5B acquisition of Jony Ive's design studio — and brings practical, on-the-ground insights from advising leading AI companies.In this episode, Jason and Chris cover:Why AI copyright law is unsettled and will take years to shake outThe difference between training data and output in legal termsHow “fair use” really works (and why it's a defense, not a permission slip)The risks of scraping vs. licensing, and why open source ≠ free useHow investors are diligencing AI startups around training dataWhy startups must think differently once they're funded vs. hacking in a dorm roomWhether you're building an AI product, investing in one, or just trying to understand where the law is headed, this conversation breaks down the real legal risks every founder should know.Timestamps:(0:00) Jason introduces the Startup Legal Basics series & Chris Paniewski(1:25) Why AI copyright law is unsettled(3:40) Training data: scraping vs. licensing(6:05) Open web ≠ open license; pitfalls around terms of service(8:15) Investor diligence & risks around training data(11:00) Open source & Creative Commons: common founder mistakes(13:25) “Fair use” explained: the four-part test(15:45) Why most disputes never make it to case lawCheck Out Wilson Sonsini: https://www.wsgr.comCheck out all of the Startup Basics episodes here: https://thisweekinstartups.com/basicsFollow Chris:LinkedIn: https://www.linkedin.com/in/christopher-paniewski-09331a59/Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

welcome to wall-e's tech briefing for thursday, september 4th! dive into today's top tech stories: mistral ai's massive valuation: french startup nearing a $14 billion valuation, driven by its open-source language models and ai chatbot, le chat. apple's ai enhancement: potential collaboration with google's gemini ai model to upgrade siri, enhancing features like ai-powered web search by 2026. scale ai lawsuit: the company sues a former employee and competitor mercor, alleging theft of confidential customer strategy documents. spacex launch expansion: approval for environmental review increases falcon 9 launch capacity from florida to 120 annually. orchard robotics funding: raises $22 million to revolutionize agriculture with ai-driven tech for optimized crop management. stay tuned for tomorrow's tech updates!

Amid lawsuits alleging child safety concerns, online gaming service Roblox announced on Wednesday that it's expanding its age-estimation technology to all users and partnering with the International Age Rating Coalition (IARC) to provide age and content ratings for the games and apps on its platform. The company said that by year's end, the age-estimation system will be rolled out to all Roblox users who access the company's communication tools, like voice and text-based chat. This involves scanning users' selfies and analyzing facial features to estimate age. Also, Scale AI, which helps tech companies prepare data to train their AI models, filed a lawsuit against one of its former sales employees and its rival Mercor on Wednesday. The suit claims the employee, who was hired by Mercor, “stole more than 100 confidential documents concerning Scale's customer strategies and other proprietary information,” according to a copy seen by TechCrunch. Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI Daily Rundown: September 04th, 2025Hello AI Unraveled listeners, and welcome to today's news where we cut through the hype to find the real-world business impact of AI.

De laatste paar maanden van het jaar lijken een heftige rit te worden. De risico's stapelen zich op: de Europese economie verzwakt, het oneindige AI-optimisme kalft af, de onafhankelijkheid van de Amerikaanse centrale bank ligt onder vuur, en er is nog altijd onzekerheid rond importheffingen vanuit de VS. Daartegenover wijst de Wall Street Journal op de enorm opgelopen waarderingen van de S&P 500 bedrijven. Die zijn zelfs duurder dan voor het barsten van de Dotcom-bubbel. Stevenen we op een nieuwe crisis af? Wat is de grootste bedreiging? En hoe zorg je dat je daar levend doorheen komt? Dat zoeken we deze aflevering voor je uit. Dan hebben we het ook over het crisismanagement bij Meta. Mark Zuckerberg had een paar maanden geleden nog een gat in z'n hand. Hij gaf miljarden uit om overal het allerbeste AI-talent vandaan te plukken. Maar dat hobbyproject lijkt uit te lopen op een miljardenflop. Die knappe koppen komen namelijk nu al tot de conclusie dat de beste optie misschien is om hun AI in te kopen bij de concurrent. Overigens hoor je ook over het bewijs dat de AI van Meta nog niet op het gewenste niveau is. Hun chatbots blijken namelijk nogal wel eens de regels te overtreden, en bekendheden na te doen die daar geen toestemming voor hebben gegeven. En daar blijft het niet bij... Verder gaat het nog over de schrik in het Witte Huis. Het federale hof van beroep heeft besloten dat Trump zijn importheffingen nooit zo had mogen doorvoeren. En er komen weer nieuwe exportrestricties voorbij. Op chipmachines. Gelukkig niet die van ASML of ASMI, maar van Amerikaanse bedrijven. Die mogen niet meer naar de fabrieken van Samsung en SK Hynix in China.See omnystudio.com/listener for privacy information.

Taco Bell's chief digital officer says the company is having an “active conversation” about when to use and not use AI. The company has apparently rolled out voice AI-powered ordering at more than 500 drive-throughs. Also, it's only been since June that Meta invested $14.3 billion in the data-labeling vendor Scale AI, bringing on CEO Alexandr Wang and several of the startup's top executives to run Meta Superintelligence Labs. But the relationship between the two companies is already showing signs of fraying. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Meta laatste miljardeninvestering in de ontwikkeling van AI lijkt bepaald geen vruchten af te werpen, op basis van berichten dan diverse Amerikaanse media. In deze Tech Update vertelt Joe van Burik erover. De integratie met Scale AI, waarvan Meta voor ruim 14 miljard 49 procent van de aandelen kocht, lijkt voor veel frictie te zorgen. Ook zijn sommige van de AI-ontwikkelaars die de afgelopen tijd zijn aangetrokken (naar verluidt voor bonussen tot wel 100 miljoen of zelfs 300 miljoen dollar) na enkele maanden alweer weggegaan. Verder in deze Tech Update: ChatGPT is te manipuleren door trucjes te gebruiken uit het boek 'Influence: The Psychology of Persuasion' van professor Robert Cialdini De Democratische gouverneur van Californië, Gavin Newson, ontvangt miljoenen steun van Netflix-oprichter Gavin Newsom in zijn strijd tegen de Republikeinen See omnystudio.com/listener for privacy information.

What you'll discover… How to build trust with customers before you've even built a product Lessons on raising $150M and convincing top-tier VCs like Sequoia and General Catalyst The emotional story that sparked Cobot's mission inside a hospital hallway Why humanoid robots might not be the future and what should replace them Why swappable batteries, high-mounted sensors, and swerve drives make all the difference The founder's journey: anxiety, ambition, and the power of embracing the Odyssey Where to find it… (02:35) Why Brad left a high-flying career to start something from scratch (06:10) Timing the AI and robotics wave (08:45) From Scale AI to Cobot: building the product he truly believed in (11:45) Identifying Real-world problems to be solved by your new start-up (19:45) Why top investors believed in him before a prototype even existed (27:00) Selling the vision before building the robot (32:45) MVP success, user feedback, and building trust with early adopters (40:00) What “everyday work” means for Brad and how Cobot improves lives (44:00) The next 10 years of robotics and physical AI (52:00) Brad's proudest moment and how it ties back to a promise to his father More about the episode Before founding Cobot, Brad Porter held senior roles at Amazon, Scale AI, and even helped pioneer voice applications at Tellme and Netscape. But it was a walk with his father through the halls of Mayo Clinic that planted the seed for something radically new. In this heartfelt and insightful episode, Brad shares how a personal loss became a professional mission to build collaborative robots that enhance human work instead of replacing it. With over $150M raised in just three years and clients like the Mayo Clinic, Maersk, and the US Department of Defense, Brad has done what few in hard tech manage to do: build, fund, and deploy a real solution in record time. You'll hear how digital twin technology and fast iteration allowed Cobot to deliver results before having a fully built prototype, and why design decisions like swappable batteries and swerve drives matter more than buzzwords. If you're a founder, investor, or just fascinated by where robotics is headed, this episode delivers hard-won insights and inspiration in equal measure. Connect with us: Peng-Sang Cau LinkedIn Website Brad Porter LinkedIn

In the Tech.eu podcast, Ziv Riechert, partner at LocalGlobe, and Bobby Jackle, partner, Visionaries Club, talk AI.

Welcome to another episode of the Beacon Way Podcast! In this episode, host Adrienne Wilkerson dives deep into how Artificial Intelligence (AI) can revolutionize personalized marketing, making it accessible for small and medium-sized businesses. Learn about AI-driven strategies like predictive analytics, dynamic content creation, and advanced customer segmentation. Adrienne also discusses the importance of ethical AI use, data minimalization, and emerging trends. Whether you're new to AI or looking to enhance your current marketing efforts, this episode offers invaluable insights to help your business thrive in today's data-driven marketplace.

Hosted by David Cowen | Presented by Steno Live at ILTACON 2025, Rachel Shield Williams, Director of Client Intelligence at Sidley Austin, breaks down how the smartest legal teams are using AI, not just to save time, but to build stronger relationships, drive smarter decisions, and unlock entirely new ways of working. From ChatGPT to lakehouses, Rachel shares how the future of legal operations is being shaped by clean data, clear governance, and creative thinking. This episode is packed with real use cases, sharp insights, and powerful takeaways for anyone working at the intersection of law, data, and strategy. Key Topics Covered: What “client intelligence” really means and why it's a growth engine Why governance is the backbone of safe, scalable GenAI The difference between data warehouses, lakes, and lakehouses (finally explained) How cross-functional teams are reshaping client relationships Rachel's ChatGPT workflows - summarizing, strategizing, even grocery shopping AI as a leadership tool: how to support your team and stay ahead Inclusion, accessibility, and the future of data-driven collaboration This Episode is presented by Steno: Smarter transcripts. Faster delivery. Built for modern legal teams.

In a move reminiscent of Facebook's early days, TikTok is launching a new feature that allows college students to find and connect with others on their campus. The feature, called Campus Verification, lets users add their college campus to their TikTok profile and browse a list of students at their school. Also, On Friday, The Information reported that Meta was preparing to tear down its existing AI org and reorganize it into four new groups. Four days later, the change was made official with an internal memo, as reported by Bloomberg and The New York Times. The changes were announced by Scale AI founder Alexandr Wang, who joined Meta as chief AI officer in June. And, a lawsuit alleges that Google collected data from children watching YouTube videos; while this kind of data collection has become common, it remains illegal to collect data from children under the age of 13, per the longstanding COPPA legislation. Though Google will settle the case, the company denies these allegations. It's possible that up to 45 million people in the U.S. could be eligible to receive small payments from this class action, which encompasses anyone in the U.S. who watched YouTube while under the age of 13 between July 1, 2013 and April 1, 2020. Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI startups in 2025 have raised $122 billion, with the United States accounting for $104 billion of the total. In the second quarter, AI companies secured $50 billion, nearly half of all venture capital invested during that period. Major deals include Meta's $14.3 billion investment in Scale AI, Anduril's $2.5 billion round led by Founders Fund, and Safe Superintelligence's $2 billion from Greenoaks, Alphabet, and Andreessen Horowitz. The sector is seeing increased investment in infrastructure-heavy AI projects, supported by a proposed $92 billion federal funding package. Overall venture capital funding has declined to $101.5 billion in the second quarter due to an ongoing IPO drought, with major AI firms such as Databricks and OpenAI remaining private. Capital is increasingly concentrated among leading AI startups, making fundraising more difficult for smaller companies, while investment firms like SoftBank, Andreessen Horowitz, Tiger Global, Sequoia, and Lightspeed continue to lead in AI investments.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

What fuels the world's most powerful AI models isn't just data, it's how that data is labeled and given context. In this week's episode, we take listeners inside the often-overlooked world of data labeling, from Meta's $14B investment in Scale AI to the billion-dollar rise of Surge AI, and connect the dots to aquaculture. You'll learn why context-rich data—not just perfect data, is the real driver of better models, and how farms can apply these lessons to turn messy records into predictive intelligence. For more aquaculture insights head to our Fish n' Bits blog.

By positioning itself against Scale AI, Datumo signals confidence in its model. Its success would not only challenge existing power structures but also expand opportunities for AI adoption. This contest may shape the next era of artificial intelligence.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

Datumo is stepping onto the stage as a serious contender against Scale AI. Its focus on data innovation and efficiency could reshape the competitive AI landscape. The implications for the market and future AI ecosystems are profound.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

With Datumo challenging Scale AI, the dynamics of AI infrastructure are entering a new phase. Analysts are watching closely to see how this emerging competitor shifts the balance. Could this signal the start of a more diverse AI industry?Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

In this episode, Jaeden discusses the startup Datumo, which has recently raised $15.5 million to compete with Scale AI in the data labeling market. He explores the company's unique approach to data labeling, its growth trajectory, and the competitive landscape shaped by major players like Scale AI and Meta. The conversation also highlights Datumo's funding journey and future expansion plans, particularly in the U.S. and Japan.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutYouTube Video: https://youtu.be/UG7wUgPwbCwChapters00:00 Introduction to Datumo and Market Context03:08 Datumo's Unique Approach to Data Labeling05:48 Industry Dynamics and Competition with Scale AI08:33 Funding Journey and Future Prospects

Alexandra McGauley is a visionary leader and one of the youngest female L8 executives in Amazon's history, achieving the rank at just 27. As an Auburn University Supply Chain Management graduate, she spent eight years at Amazon leading thousands of employees across operations, learning, finance, safety, HR, IT, loss prevention, maintenance, and engineering. In 2020, she built Amazon's pandemic training support team from the ground up, supporting the onboarding of over 150,000 essential workers. Prior to leaving Amazon, she directly led a total org size of about 100+ salaried leaders, 2800 hourly employees, and a network initiative to improve on-time customer deliveries by ~40% YoY across 33 sites.After Amazon, she led at startup unicorn, Scale AI where she designed and scaled a data labeling workforce that generated millions in ARR in less than 4 months. Alexandra then took a leap to confront systemic gaps in dataset diversity and quality by founding Erud AI. Erud AI is fully bootstrapped and profitable in under a year of operations. Erud AI is startup based in Austin, Texas, and specializes in niche fields, expert fields, and multimodal data creation for AI applications. As a business process outsourcing partner, Erud AI handles the heavy operational lift of sourcing, employing, and training AI data teams. Clients appreciate Erud AI's focus on customer service and quality. Separately, Alexandra takes on a limited number of clients as a Fractional COO to boost organization efficiency, productivity, and profitability.Alexandra is passionate about fostering diverse talent and embedding ethical frameworks into AI development across industries and applications. Listeners will value her expertise in scaling high-performing teams, operational excellence, grit and tenacity, and responsible AI data practices. Key Moments [06:06] Ethical Data Sourcing Mission [09:35] Leaving Amazon to Build My Vision [10:54] Managing Payroll for Contractors [15:31] Value of Business Cards Find Alexandra Onlinehttps://erud.ai/newsletterhttps://linkedin.com/in/amcgauleyhttps://alexandramcgauley.com If you're enjoying Entrepreneur's Enigma, please give me a review on the podcast directory of your choice. The show is on all of them and these reviews really help others find the show. iTunes: https://gmwd.us/itunes Podchaser: https://gmwd.us/podchaser TrueFans: https://gmwd.us/truefans Also, if you're getting value from the show and want to buy me a coffee, go to the show notes to get the link to get me a coffee to keep me awake, while I work on bringing you more great episodes to your ears. →  https://gmwd.us/buy-me-a-coffee or support me on TrueFans.fm → https://gmwd.us/truefans. Follow Seth Online: Seth | Digital Marketer (@s3th.me) Seth Goldstein | LinkedIn: LinkedIn.com/in/sethmgoldstein Seth On Mastodon: https://indieweb.social/@phillycodehound Seth's Marketing Junto Newsletter: https://MarketingJunto.com Leave The Show A Voicemail: https://voiceline.app/ee Learn more about your ad choices. Visit megaphone.fm/adchoices

Enterprise AI leaders from C3 AI, Resolve AI, and Scale AI reveal how Fortune 100 companies are successfully scaling agentic AI from pilots to production and share secrets for successful AI transformation.Topics Include:Panel introduces three AI leaders from Resolve AI, C3 AI, and Scale AIResolve AI builds autonomous site reliability engineers for production incident responseC3 AI provides full-stack platform for developing enterprise agentic AI workflowsScale AI helps Fortune 100 companies adopt agents with private data integrationMoving from AI pilots to production requires custom solutions, not shrink-wrap softwareSuccess demands working directly with customers to understand their specific workflowsAll enterprise AI solutions need well-curated access to internal data and resourcesSoftware engineering has permanently shifted to agentic coding with no going backAI agents rapidly improving in reasoning, tool use, and contextual understandingIndustry moving from simple co-pilots to agents solving complex multi-step problemsSpiros coins new concept: evolving from "systems of record" to "systems of knowledge"Democratized development platforms let enterprises declare their own agent workflowsSemantic business layers enable agents to understand domain-specific enterprise operationsTrust and observability remain major barriers to enterprise agent adoptionOversight layers essential for agents making longer-horizon autonomous business decisionsPerformance tracking and calibration systems needed like MLOps for reasoning chainsCEO-level top-down support required for successful AI transformation initiativesTraditional per-seat SaaS pricing models completely broken for agentic AI solutionsIndustry shifting toward outcome-based and work-completion pricing models insteadReal examples shared: agent collaboration in production engineering and sales automationParticipants:Nikhil Krishnan – SVP & Chief Technology Officer, Data Science, C3 AISpiros Xanthos – Founder and CEO, Resolve AIVijay Karunamurthy – Head of Engineering, Product and Design / Field Chief Technology Officer, Scale AIAndy Perkins – GM, US ISV Sales – Data, Analytics, GenAI, Amazon Web ServicesFurther Links:C3 – Website – AWS MarketplaceResolve AI – Website – AWS MarketplaceScale AI – Website – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

L'agence Cossette développe en interne une IA sur mesure, financée par Scale AI, pour exploiter son patrimoine de données accumulé depuis des décennies ( études de cas, stratégies, créations ) et en tirer un avantage concurrentiel. L'outil se distingue des solutions génériques comme Gemini en puisant exclusivement dans les archives internes de l'agence, aujourd'hui dispersées et non structurées. Il sert d'« archiviste intelligent » pour faciliter la recherche, l'analyse et l'enrichissement des projets, tout en alimentant la réflexion stratégique et la créativité. Cossette vise d'abord un usage interne, mais envisage de proposer la solution à des clients confrontés aux mêmes enjeux d'accès et de valorisation de leur savoir institutionnel. Entrevue avec Louis Duchesne, Président, Canada chez Cossette.

Dan Tadross, Head of Public Sector at Scale AI, joins Mike Shanley to explore what Agentic AI Warfare might look like in the near future. The conversation covers AI interoperability with legacy systems, the evolving landscape of data sources and large language models (LLMs), and the significance of Meta's $13 billion investment in this space.   RESOURCES: GovDiscovery AI Federal Capture Support: https://www.govdiscoveryai.com/ Scale LinkedIn: https://www.linkedin.com/company/scaleai/posts/?feedView=all Dan Tadross LinkedIn: https://www.linkedin.com/in/dantadross/ Scale X profile: https://x.com/scale_ai Scale website: https://scale.com Scale YouTube: https://www.youtube.com/@Scale_AI BIOGRAPHY: Dan Tadross is the Head of Public Sector at Scale AI, a dual use technology company that builds the infrastructure for the most ambitious artificial intelligence projects in the world. In this role, Dan oversees all aspects of Scale's support to the U.S. public sector. Prior to Scale, Dan served 12 years on Active Duty in the Marine Corps where he was a founding member of the Joint Artificial Intelligence Center (JAIC), a precursor to the Pentagon's Chief Digital and Artificial Intelligence Office. At the JAIC, Dan established the Joint Warfighting National Mission Initiative and led project Gargoyle, which focused on deploying Computer Vision for enhancing force protection. Prior to the JAIC, Major Tadross, an Air Traffic Control Officer, was hand selected as a member of the Secretary of the Navy's Innovation Advisory Council, where he conducted independent research at the MITRE Corporation on integrating AI into Aviation Command and Control. His previous tours included Marine Air Tactical Command Squadron 18 in Okinawa, Japan where he served as the Senior Air Coordinator and supported exercises in South Korea, the Philippines, and Australia. He has a Bachelor of Science degree in Mechanical Engineering from Old Dominion University and a Masters in Technology Management from Georgetown University. LEARN MORE: Thank you for tuning into this episode of the GovDiscovery AI Podcast with Mike Shanley. You can learn more about working with the U.S. Government by visiting our homepage: Konektid International and GovDiscovery AI. To connect with our team directly, message the host Mike Shanley on LinkedIn. https://www.govdiscoveryai.com/  https://www.konektid.com/ https://www.linkedin.com/in/gov-market-growth/ 

This week on Networth and Chill, Vivian sits down with Lucy Guo, the serial entrepreneur and co-founder of Scale AI, to explore the financial blueprint behind building multiple unicorn companies before age 30. From dropping out of Carnegie Mellon to co-founding Scale AI—now valued at over $13 billion—Lucy's story reveals the strategic decisions and calculated risks that transformed her from a college dropout into one of tech's most influential young billionaires. Vivian explores Lucy's investment philosophy, her strategies for identifying market opportunities in emerging tech sectors, and how she's diversified her wealth beyond Scale AI through ventures like Passes, her social platform for creators.Whether you're interested in AI entrepreneurship, startup scaling strategies, or understanding how to leverage technical skills into generational wealth, this episode offers crucial insights on building in the rapidly evolving tech landscape. Check out Lucy on Instagram and learn more about Passes at https://www.passes.com/ Follow the podcast on Instagram and TikTok! Got a financial question you want answered in a future episode? Email us at podcast@yourrichbff.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

Send us a textJoin hosts Alex Sarlin and Claire Zau, a Partner and AI Lead at GSV Ventures as they explores the latest developments in education technology, from AI agents to teacher co-pilots, talent wars, and shifts in global AI strategies. ✨ Episode Highlights [00:00:00] AI teacher co-pilots evolve into agentic workflows.[00:02:15] OpenAI launches ChatGPT Agent for autonomous tasks.[00:04:24] Meta, Google, and OpenAI escalate AI talent wars.[00:07:38] Privacy guardrails emerge for AI agent actions.[00:10:20] ChatGPT pilots “Study Together” learning mode.[00:14:40] Teens use AI as companions, sparking debate.[00:19:58] AI multiplies both positive and negative behaviors.[00:29:11] Windsurf acquisition saga shows coding disruption.[00:37:18] Teacher AI tools gain value through workflow data.[00:42:48] DeepMind's rise positions Demis Hassabis as key leader.[00:45:32] Google offers free Gemini AI plan to Indian students.[00:49:39] Meta builds massive AI data centers for digital labor. Plus, special guests: [00:52:42] Matthew Gasda, a writer and director, on how educators can rethink writing and grading in the AI era. [01:13:30] Marc Graham, founder of Spark Education AI, on using AI to personalize reading and engage reluctant readers.

In the generative AI revolution, quality data is a valuable commodity. But not all data is created equally. Sarah Guo and Elad Gil sit down with SurgeAI founder and CEO Edwin Chen to discuss the meaning and importance of quality human data. Edwin talks about why he bootstrapped Surge instead of raising venture funds, the importance of scalable oversight in producing quality data, and the work Surge is doing to standardize human evals. Plus, we get Edwin's take on what Meta's investment into Scale AI means for Surge, as well as whether or not he thinks an underdog can catch up with OpenAI, Anthropic, and other dominant industry players. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @echen | @HelloSurgeAI Chapters: 00:00 – Edwin Chen Introduction 00:41 – Overview of SurgeAI 02:28 – Why SurgeAI Bootstrapped Instead of Raising Funds 07:59 – Explaining SurgeAI's Product 09:39 – Differentiating SurgeAI from Competitors  11:27 – Measuring the Quality of SurgeAI's Output 12:25 – Role of Scalable Oversight at SurgeAI 14:02 – Challenges of Building Rich RL Environments 16:39 – Predicting Future Needs for Training AI Models 17:29 – Role of Humans in Data Generation 21:27 – Importance of Human Evaluation for Quality Data 22:51 – SurgeAI's Work Toward Standardization of Human Evals 23:37 – What the Meta/ScaleAI Deal Means for SurgeAI 24:35 – Edwin's Underdog Pick to Catch Up to Big AI Companies 24:50 – The Future Frontier Model Landscape 26:25 – Future Directions for SurgeAI 29:29 – What Does High Quality Data Mean? 32:26 – Conclusion

ChatGPT Agents are here.U.S. President Trump has big plans for AI.And Google is slapping more AI on traditional search than a commercial pitchman slapping Flex Seal on a leaky boat.AI is changing how we all work. And there's way too much happening to keep track. So, that's why you should spend Mondays with us as we bring you the AI News that Matters.Try Gemini 2.5 Flash! Sign up at  AIStudio.google.com to get started. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.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:Meta Considers Shift to Closed-Source AITrump Unveils National AI Policy Plan$2 Billion Seed Funding: Thinking Machines LabsGemini 2.5 Pro Launches in Google SearchGoogle AI Enables Automated Local Business CallsDeep Search Feature with Gemini 2.5 ProOpenAI ChatGPT Agents Power Multi-step AutomationChatGPT to Charge Commissions on E-commerceNew Student Study Tools: OpenAI, Google, AnthropicAnthropic Debuts Domain-Specific Financial AINvidia H20 AI Chip Exports to China ControversyTimestamps:00:00 Meta Considers Closing AI Models04:15 "Meta's AI Strategy and Open Source"08:15 Diverse Regulation Needs for AI Innovation09:42 AI Startup Surpasses $12B Valuation13:37 Google and OpenAI's AI Expansion18:41 AI Companies Target Student Demographic21:59 "Rise of Domain-Specific Models"23:47 2026 AI Model Revolution26:36 AI Export Controls and US-China Tech Race30:36 OpenAI Unveils ChatGPT Agent33:05 "Watch Mode for ChatGPT Pro"Keywords:Google AI, Gemini 2.5 Pro, Gemini AI mode, Deep search, AI-powered local calling, agentic AI capabilities, ChatGPT agents, ChatGPT agent, OpenAI, ChatGPT Pro, reasoning model, automated phone calls, local business AI calls, US AI policy, President Trump AI strategy, deregulation in AI, AI regulation, closed source AI model, Meta AI, open source vs closed source AI, superintelligence lab, Alexander Wang, Scale AI, Nvidia GPU drama, Nvidia H20 chips, AI chips export, US-China AI arms race, artificial general intelligence, AGI, ASI, Anthropic, Claude, domain specific models, financial analyst AI, financial data AI solutions, Monte Carlo simulation AI, risk modeling AI, Amazon Bedrock Agent, Microsoft Copilot Vision, multi-step task automation, virtual terminal AI, multimodal reasoning, e-commerce AI, ChatGPT shopping, AI optimization, AIO, affiliate revenue AI, education AI tools, AI study assistants, Study Together ChatGPT, Study Projects Claude, Guided Learning Gemini, enterprise AI soluSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Scott Wu is the co-founder and CEO of Cognition, the company behind Devin, the world's first AI software engineer. On Friday last week they pulled off the acquisition of the year, acquiring Windsurf, following their licensing agreement with Google. Previously a world-class competitive programmer, he was a gold medalist at the International Olympiad in Informatics and a member of the U.S. Math and Physics Olympiad teams. Before Cognition, he was a founding engineer at Scale AI, helping shape the early AI infrastructure stack. AGENDA: 00:00 – Why are founders walking away instead of going down with the ship? 01:05 – How did Cognition pull off the $220M Windsurf deal in just 72 hours? 04:45 – What really happened behind closed doors the weekend Windsurf was acquired? 07:15 – Did Google overlook a goldmine in the Windsurf team and IP? 09:00 – Who are the 100 people that secretly shape the future of AI? 12:30 – Can application startups ever gain leverage over foundation model giants like Anthropic? 14:15 – Is coding about to be replaced by simply describing what you want? 17:30 – 50% of new code is AI-written. Where does that go next? 20:45 – “We've gone from 0 to $80M ARR in 6 months. Quietly.” 25:00 – Are IDEs and agents just the training wheels for the real future of software engineering? 28:20 – If you could only back one—OpenAI or Anthropic—who's the better bet? 30:00 – Why has Cognition kept its insane growth a secret… until now?    

Wanna start a side hustle but need an idea? Check out our Side Hustle Ideas Database: https://clickhubspot.com/thds We're breaking down the wild contradictions in AI land, where companies are simultaneously laying off workers and throwing billions at acquisitions, plus Google's new feature that lets AI make your awkward phone calls to local businesses. Plus: South Korea is booming with startups and Pepsico beats Wall Street earnings expectations. Join our hosts Jon Weigell and Maria Gharib as they take you through our most interesting stories of the day. Follow us on social media: TikTok: https://www.tiktok.com/@thehustle.co Instagram: https://www.instagram.com/thehustledaily/ Thank You For Listening to The Hustle Daily Show. Don't forget to hit subscribe or follow us on your favorite podcast player, so you never miss an episode! If you want this news delivered to your inbox, join millions of others and sign up for The Hustle Daily newsletter, here: https://thehustle.co/email/  If you are a fan of the show be sure to leave us a 5-Star Review, and share your favorite episodes with your friends, clients, and colleagues.

Scale AI lays off 14% of its workforce, Jack Dorsey invests $10 million to fund experimental open-source projects, and Substack secures $100 million in funding at a $1.1 billion valuation. 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 "Scale AI Lays Off 200 Employees and 500 Contractors – DTH"

This episode has a large news slate: Scale AI cuts hundreds post-Meta, Netflix pricing power to be tested, and Ellison now richer than Zuckerberg. Roundtable: The Big Beautiful Bill https://www.instagram.com/delano.saporu/?hl=en. Connect with me here also: https://newstreetadvisorsgroup.com/social/. Want to support the show? Feel free to do so here! https://anchor.fm/delano-saporu4/support. Thank you for listening.

In this episode of the Brainstorm, Sam, Nick, and Research Analyst, Jozef Soja, dive into the latest advancements in AI with a focus on Grok4 and Meta's strategic moves. They explore Grok4's impressive benchmark performances, the real-world implications of AI tool use, and Meta's aggressive investments in AI talent and infrastructure.If you know ARK, then you probably know about our long-term research projections, like estimating where we will be 5-10 years from now! But just because we are long-term investors, doesn't mean we don't have strong views and opinions on breaking news. In fact, we discuss and debate this every day. So now we're sharing some of these internal discussions with you in our new video series, “The Brainstorm”, a co-production from ARK and Public.com. Tune in every week as we react to the latest in innovation. Here and there we'll be joined by special guests, but ultimately this is our chance to join the conversation and share ARK's quick takes on what's going on in tech today.Key Points From This Episode:Grok4 has set new standards in AI benchmarks, particularly in GPQA and Humanities Last Exam, showcasing its advanced reasoning and tool use capabilities.Real-world applications still present challenges for Grok4, highlighting the gap between theoretical performance and practical use.Meta is making aggressive moves in the AI space, acquiring stakes in companies like Scale AI and investing heavily in AI talent to build a super intelligence team.For more updates on Public.com:Website: https://public.com/YouTube: @publicinvestX: https://twitter.com/public

7月1日，Meta 的 CEO 扎克伯格官宣公司的 AI 团队将进行重大重组，成立全新的Meta 超级人工智能实验室 （Meta Superintelligence Labs，MSL），目标是研发能够超越人类的 AI 超级智能。为了筹建 MSL, 扎克伯格发起了抢人大战，挖来了 Github 前 CEO Nat Friedman 和 AI 公司 Safe Superintelligence 的 CEO Daniel Gross, 还斥巨资从 OpenAI，Anthropic，还有 Google 等公司招募了 11 名顶尖的 AI 人才，其中包括 7 位华人研究人员。 在扎克伯格用天价挖走的人才名单中还包括硅谷的数据标注公司 Scale AI 的创始人 Alexandr Wang。就在两周前，Meta 宣布以 143 亿美元 收购了 Scale AI 49%的股份，但 Meta 真正想要的是公司的灵魂人物 Alexandr Wang。Alex 在 19 岁时从MIT 辍学，成立了 Scale AI，在 2021 年成为全球最年轻的白手起家的亿万富翁，他现在已经被任命为 Meta 的 Chief AI Officer 并且与 Nat Friedman 一起领导 MSL 的产品和应用研究工作。我们今天想要从内部的视角来聊聊 Scale AI 这家公司有什么独特之处，它与 Meta 之间的交易会产生怎样的影响，以及 Meta 的抢人大战会如何搅动硅谷的AI生态。 本期人物 硅谷徐老师，AI 高管、连续创业者、斯坦福客座讲师，小红书和微信视频号：硅谷徐老师 ｜公众号：硅谷云｜ YouTube： Byte into Future Yaxian，「科技早知道」主播 Yunfeng，创业者，曾在 Scale AI 负责 infra 和 ML infra Yuting，创业者，曾在 Scale AI 负责 Gen AI 业务 主要话题 [00:01] Meta 开启天价抢人大战，组建超级智能实验室 （MSL） [03:39] 从标注自动驾驶数据到引领 GenAI 革命，Scale AI 为何如此独特？ [06:39] Scale AI 为何能一直站在数据风口？Alex 对前沿的研究和趋势极其敏感 [13:00] 劳动伦理引争议：Scale AI 到底是 AI 界的「台积电」和是 「富士康」？ [18:53] MIT，斯坦福等天才学生扎堆：Scale AI 凭什么吸引名校毕业生？ [21:51] 143 亿美元挖角 Scale AI，Meta 想要的是什么？ [26:14] Run through the wall，Alex 的管理哲学可能可能重塑 Meta 文化 [35:07] 灵魂人物离开，没有 Alex 的 Scale AI 挑战重重 [39:41] 值得学习的 Scale 文化：Ambition Shapes Reality，Earn Customer Love 幕后制作 监制：Yaxian 后期：迪卡 运营：George 设计：饭团 青少年播客「Knock Knock 世界」 每期 10 分钟，从一个青少年感兴趣的现象谈起，涉及商业科技、社会人文等话题，解读表象背后的深层逻辑，启发青少年提出自己的好奇。每周一、三、五早晨 6 点在各大音频平台准时更新。

Imagine turning down $100 million salaries. That's apparently what's happening at OpenAI. And that's just the tip of the newsworthy AI iceberg for the week. ↳ Meta reportedly failed to acquire Perplexity. Could Apple try next? ↳ Why is Microsoft cutting so many jobs? ↳ Why are AI systems blackmailing at will? ↳ Will too much AI use lead to brain rot?Let's talk AI news shorties. 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:$100M AI Salaries Being DeclinedMeta's AI Talent War EffortsMeta's Unsuccessful Acquisitions OverviewBrain Rot Concerns with AI UseOpenAI's $200M DoD ContractGoogle's Voice AI Search RolloutGoogle Gemini 2.5 in ProductionSoftBank's $1T Robotics InvestmentAnthropic's AI Model Risks ExposedMicrosoft and Amazon AI Job CutsTimestamps:00:00 Weekly AI News and Insights04:17 Meta's Major AI Acquisitions08:50 AI Impact on Student Writing Skills12:53 OpenAI Expands Government AI Program15:31 Google Launches Voice AI Search19:32 Google AI Models' Stability Feature22:55 "Project Crystal Land Initiative"27:17 AI Acquisition Talks Intensify29:43 "Apple Eyes Perplexity Acquisition"31:54 Apple's Potential Market Decline36:57 AI Ethics and Safety Concerns40:44 Amazon Warns of AI-Driven Layoffs42:44 AI's Impact on Job Market45:24 "Canvas Tips for Business Intelligence"Keywords:$100 million salaries, AI talent war, Meta, OpenAI, AI signing bonuses, Andrew Bosworth, Scale AI acquisition, Alexander Wang, Safe Superintelligence, Daniel Gross, Nat Friedman, Perplexity AI, Brain rot from AI, chat GBT and brain, MIT study on AI, SAT style essays using AI, AI neural activity, AI and cognitive effort, AI in government, $200 million contract with Department of Defense, OpenAI in security, ChatGPTgov, Federal AI initiatives, Google Gemini 2.5, AI mission-critical business, Gemini 2.5 flashlight, AI model stability, SoftBank $1 trillion investment, Project Crystal Land, Arizona robotics hub, Taiwan Semiconductor Manufacturing Company, Embodied AI, AI job cuts, Microsoft layoffs, Amazon AI workforce, Anthropic study on AI ethics, AI blackmail, Google voice-based AI search, AI search live, New AI apps, Apple acquisition interest in Perplexity, AI-powered search engine, Siri integration, AI-driven efficiencies, GenSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

(0:00) The Besties welcome Thomas Laffont! (3:26) State of LA, Hollywood's decline, positivity around GDP growth and AI productivity (10:19) Zuck on tilt over AI: $100M offers, Scale AI deal, hiring spree (23:58) Mag 7 AI Showdown: Ranking the most likely AI winners, biggest stock divergences, and more (42:41) Why Apple is fumbling AI and how they can fix it? (57:02) IPOs and M&A heating up in 2025 (1:16:18) State of liquidity: SPACs, Direct Listings, and more (1:25:40) Amazon's "kingmaker" position, job displacement (1:37:47) Sacks joins to discuss the GENIUS Act passing the Senate (1:52:13) Animal trailer Follow Thomas Laffont: https://x.com/thomas_coatue Animal Trailer: https://www.youtube.com/watch?v=8NNW5r63oXU Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://techcrunch.com/2025/06/17/sam-altman-says-meta-tried-and-failed-to-poach-openais-talent-with-100m-offers https://www.cnbc.com/2025/06/10/zuckerberg-makes-metas-biggest-bet-on-ai-14-billion-scale-ai-deal.html https://www.nytimes.com/2025/06/12/technology/meta-scale-ai.html https://scale.com/blog/scale-ai-announces-next-phase-of-company-evolution https://www.reuters.com/business/meta-talks-hire-former-github-ceo-nat-friedman-join-ai-efforts-information-2025-06-18 https://techcrunch.com/2012/09/11/mark-zuckerberg-our-biggest-mistake-with-mobile-was-betting-too-much-on-html5 https://www.reuters.com/technology/china-launch-new-40-bln-state-fund-boost-chip-industry-sources-say-2023-09-05 https://x.com/JoannaStern/status/1933564098291048764 https://www.youtube.com/watch?v=wCEkK1YzqBo https://x.com/chamath/status/1932157508698919320 https://www.renaissancecapital.com/IPO-Center/Stats/Pricings https://www.aboutamazon.com/news/company-news/amazon-ceo-andy-jassy-on-generative-ai https://x.com/chamath/status/1935369326321877153 https://x.com/chamath/status/1935740807925100853 https://www.google.com/finance/quote/COIN:NASDAQ https://www.google.com/finance/quote/SPOT:NYSE https://x.com/ylecun/status/1935108028891861393 https://x.com/ben_j_todd/status/1934284189928501482 https://apnews.com/article/election-2024-senate-ohio-brown-moreno-74c4b91e5866215d4201377fefcadad0 https://companiesmarketcap.com/microsoft/revenue https://apnews.com/article/election-2024-senate-ohio-brown-moreno-74c4b91e5866215d4201377fefcadad0 https://www.youtube.com/watch?v=8NNW5r63oXU

Today's show:In this episode, @Jason and @alex explore how AI is reshaping the economy—from Pano AI's $44M raise to fight wildfires with drones, to Amazon CEO Andy Jassy's memo foreshadowing white-collar job cuts, to Meta's stealth move poaching Scale AI talent. They dig into the collapse of early-career roles, the slow disappearance of the gig economy safety net, and why founders may want to think twice before building in public.Timestamps:(1:52) Travel chaos, laundry issues, and the Airbnb event(3:05) CO2 conference highlights and Zipline drone delivery innovation(5:24) AI's effect on job disruption and white-collar retraining(09:46) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(11:01) Jassy on AI's workforce impact and boosting teacher roles(13:23) Media evolution: market resilience and direct communication strategies(20:08) INBOUND - Use code TWIST10 for 10% o your General Admission ticket at https://www.inbound.com/register (Valid thru 7/31)(21:14) OpenAI's podcast, corporate media shifts, and Twist 500 highlights(30:02) NWRA - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit northwestregisteredagent.com/twist today!(31:20) Insurance, AI, and OpenAI's enterprise focus(41:11) Meta and Traversal's AI bets; startup transparency(48:57) TikTok, US-China tension, and data privacy debate(56:43) Actuality.ai's platform for AI-driven RFPs and enterprise pricing insights(1:11:00) Wrap-up and final thoughts with Rishab GuptaSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(09:46) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(20:08) INBOUND - Use code TWIST10 for 10% o your General Admission ticket at https://www.inbound.com/register (Valid thru 7/31)(30:02) NWRA - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit northwestregisteredagent.com/twist today!Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Today's show:Meta just took a 49% stake in Scale AI, and the shockwaves are hitting the entire AI ecosystem. In this episode, @Jason and @alex unpack the deal's implications: Google ($150M customer!) and others are fleeing Scale, worried Meta will hoard its RLHF infrastructure and cut off competitors. Startups like Labelbox, Turing, and Handshake are already seeing a demand surge. Is this smart vertical integration or anti-competitive overreach? Jason shares tactical advice for founders on how to capitalize when incumbents stumble—hire ex-Scale talent, build “Scale AI alternative” SEO pages, and hit the podcast circuit. Don't miss this deep dive into AI's shifting power dynamics.Timestamps:(04:01) Is Jason becoming an AI doomer?!(9:52) OpenPhone - Streamline and scale your customer communications with OpenPhone. Get 20% off your first 6 months at www.openphone.com/⁠twist(13:47) PostHog, and when is it okay for founders to break the rules?(20:56) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist(25:50) Why the Navy is recruiting startups(30:12) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.(39:09) Did Zuck buy Scale in order to keep it from competitors?(56:08) When does incentivizing customers turn into burning capital?(1:04) How raising too much money could KILL your startup!Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(9:52) OpenPhone - Streamline and scale your customer communications with OpenPhone. Get 20% off your first 6 months at www.openphone.com/⁠twist(20:56) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist(30:52) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Meta is going straight superintelligent? OpenAI and Google are teaming up? And Microsoft might kill tutorials? The big AI dogs are at it again, making some head-turning moves in the AI space. Don't get left behind. Join us on Mondays for our AI News That Matters segment. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.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 & Google Cloud PartnershipMeta's $14B AI Superintelligence BetDisney & Universal vs. Midjourney LawsuitApple's AI Translation Across DevicesOpenAI Expands GPT Projects & FeaturesMicrosoft Updates Copilot Vision ToolsAmazon's AI Video Tool for SellersMeta AI App Privacy ControversyTimestamps:00:00 AI Insights: This Week's Headlines04:28 ChatGPT Project Features Update08:42 AI Wednesdays: Updates and Insights11:57 Meta's $14B Superintelligence Investment15:24 Meta's Acquisition of Scale AI17:31 OpenAI Partners with Google Cloud22:41 Apple Translation Integration Delayed26:00 Third-Party AI to Improve Siri30:43 Microsoft Copilot's Quiet Feature Updates33:40 Amazon Enhances AI for Ads37:34 Copyright Lawsuit: Midjourney vs. Studios41:43 OpenAI O3 Pro: Accuracy Over Speed45:54 AI News & Events Week PreviewKeywords:OpenAI, Google Cloud, Meta, superintelligence, Scale AI, $14 billion investment, artificial superintelligence, Midjourney, Disney lawsuit, Universal lawsuit, AI copyright issues, Microsoft Copilot Vision, Copilot AI updates, real-time AI assistance, AI-powered video generator, Amazon video tools, chat GPT projects, GPTs, AI compute, Tensor Processing Units, regulatory scrutiny, AI market competition, OpenAI revenue, O3 Pro model, ChatGPT Pro, AI reasoning models, voice mode, Apple WWDC, AI translation, Edge AI, cloud infrastructure, Meta AI assistant, Apple AI struggles, Siri upgrade, AI legal battle, OpenAI and Google partnership, Meta's AI investment, $10 billion annual revenue, personal data privacy, Meta privacy concerns, AI model updates.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

As businesses are adopting artificial intelligence and beginning to figure out how it will make them money, developers are already working on ways to embody AI in the physical world. From home robots to manufacturing and beyond, tech reporter Belle Lin digs into the industry's plans and tells us whether physical AI might bring both makers and users the big returns on investment they've been anticipating. Alex Ossola hosts. Further Reading:  These Developers Can't Get Excited About Apple's AI Efforts  AI Is Here for Plumbers and Electricians. Will It Transform Home Services?  Companies Are Struggling to Drive a Return on AI. It Doesn't Have to Be That Way.  Nvidia and Perplexity Team Up in European AI Push  Apple Executives Defend Apple Intelligence, Siri and AI Strategy  Meta in Talks to Invest $14 Billion in Scale AI, Hire CEO Alexandr Wang  Apple Fails to Clear a Low Bar on AI  Learn more about your ad choices. Visit megaphone.fm/adchoices

This week, Meta hits the reset button on A.I. But will a new research lab and a multibillion-dollar investment in Scale AI bring the company any closer to its stated goal of “superintelligence”? Then we break down Apple's big developer conference, WWDC: What was announced, what was noticeably absent, and why Apple seems a little stuck in the past. Finally, a couple of weeks ago we asked if your job is being automated away — it's time to open up the listener mail bag and hear what you said.Additional Reading:Meta looks for an A.I. resetApple Executives Defend Apple Intelligence, Siri and A.I. StrategyThis A.I. Company Wants to Take Your JobWe want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Unlock full access to New York Times podcasts and explore everything from politics to pop culture. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify.

Alex Wang is the CEO and co-founder of Scale AI, a leading data platform accelerating the development of artificial intelligence applications. Founded in 2016, Scale AI provides high-quality training data for AI models, serving clients like OpenAI, Microsoft, and the U.S. Department of Defense. A former software engineering prodigy, Wang dropped out of MIT to build Scale AI, which is now valued at over $13 billion. Recognized on Forbes' 30 Under 30 and TIME's 100 Most Influential People in AI, Wang is a prominent voice in shaping the future of AI innovation and deployment. He advocates for responsible AI development and policies to ensure ethical and secure AI advancements. Shawn Ryan Show Sponsors: ⁠https://www.roka.com⁠ - USE CODE SRS ⁠https://www.americanfinancing.net/srs⁠ NMLS 182334, nmlsconsumeraccess.org ⁠https://www.tryarmra.com/srs⁠ ⁠https://www.betterhelp.com/srs⁠ This episode is sponsored by better help. Give online therapy a try at ⁠betterhelp.com/srs⁠ and get on your way to being your best self. ⁠https://www.shawnlikesgold.com⁠ ⁠https://www.lumen.me/srs⁠ ⁠https://www.patriotmobile.com/srs⁠ ⁠https://www.rocketmoney.com/srs⁠ ⁠https://www.shopify.com/srs⁠ ⁠https://trueclassic.com/srs⁠ Upgrade your wardrobe and save on @trueclassic at ⁠trueclassic.com/srs⁠! #trueclassicpod Alex Wang Links: Website - https://scale.com Scale AI X - https://x.com/scale_ai Alex X - https://x.com/alexandr_wang LI - https://www.linkedin.com/company/scaleai Learn more about your ad choices. Visit podcastchoices.com/adchoices

Christina Knight, Machine Learning Safety and Evals Lead at Scale AI and former senior policy adviser at the U.S. AI Safety Institute (AISI), joins Kevin Frazier, the AI Innovation and Law Fellow at Texas and a Senior Editor at Lawfare, to break down what it means to test and evaluate frontier AI models as well as the status of international efforts to coordinate on those efforts.This recording took place before the administration changed the name of the U.S. AI Safety Institute to the U.S. Center for AI Standards and Innovation. To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.