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ThursdAI - The top AI news from the past week

ThursdAI - The top AI news from the past week

Auteur(s): From Weights & Biases Join AI Evangelist Alex Volkov and a panel of experts to cover everything important that happened in the world of AI from the past week
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 Every ThursdAI, Alex Volkov hosts a panel of experts, ai engineers, data scientists and prompt spellcasters on twitter spaces, as we discuss everything major and important that happened in the world of AI for the past week. Topics include LLMs, Open source, New capabilities, OpenAI, competitors in AI space, new LLM models, AI art and diffusion aspects and much more.

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  • 📆 ThursdAI - June 19 - MiniMax M1 beats R1, OpenAI records your meetings, Gemini in GA, W&B uses Coreweave GPUs & more AI news

    📆 ThursdAI - June 19 - MiniMax M1 beats R1, OpenAI records your meetings, Gemini in GA, W&B uses Coreweave GPUs & more AI news
    Jun 20 2025
    Hey all, Alex here 👋This week, while not the busiest week in releases (we can't get a SOTA LLM every week now can we), was full of interesting open source releases, and feature updates such as the chatGPT meetings recorder (which we live tested on the show, the limit is 2 hours!)It was also a day after our annual W&B conference called FullyConnected, and so I had a few goodies to share with you, like answering the main question, when will W&B have some use of those GPUs from CoreWeave, the answer is... now! (We launched a brand new preview of an inference service with open source models)And finally, we had a great chat with Pankaj Gupta, co-founder and CEO of Yupp, a new service that lets users chat with the top AIs for free, while turning their votes into leaderboards for everyone else to understand which Gen AI model is best for which task/topic. It was a great conversation, and he even shared an invite code with all of us (I'll attach to the TL;DR and show notes, let's dive in!)00:00 Introduction and Welcome01:04 Show Overview and Audience Interaction01:49 Special Guest Announcement and Experiment03:05 Wolfram's Background and Upcoming Hosting04:42 TLDR: This Week's Highlights15:38 Open Source AI Releases32:34 Big Companies and APIs32:45 Google's Gemini Updates42:25 OpenAI's Latest Features54:30 Exciting Updates from Weights & Biases56:42 Introduction to Weights & Biases Inference Service57:41 Exploring the New Inference Playground58:44 User Questions and Model Recommendations59:44 Deep Dive into Model Evaluations01:05:55 Announcing Online Evaluations via Weave01:09:05 Introducing Pankaj Gupta from YUP.AI01:10:23 YUP.AI: A New Platform for Model Evaluations01:13:05 Discussion on Crowdsourced Evaluations01:27:11 New Developments in Video Models01:36:23 OpenAI's New Transcription Service01:39:48 Show Wrap-Up and Future PlansHere's the TL;DR and show notes linksThursdAI - June 19th, 2025 - TL;DR* Hosts and Guests* Alex Volkov - AI Evangelist & Weights & Biases (@altryne)* Co Hosts - @WolframRvnwlf @yampeleg @nisten @ldjconfirmed* Guest - @pankaj - co-founder of Yupp.ai* Open Source LLMs* Moonshot AI open-sourced Kimi-Dev-72B (Github, HF)* MiniMax-M1 456B (45B Active) - reasoning model (Paper, HF, Try It, Github)* Big CO LLMs + APIs* Google drops Gemini 2.5 Pro/Flash GA, 2.5 Flash-Lite in Preview ( Blog, Tech report, Tweet)* Google launches Search Live: Talk, listen and explore in real time with AI Mode (Blog)* OpenAI adds MCP support to Deep Research in chatGPT (X, Docs)* OpenAI launches their meetings recorder in mac App (docs)* Zuck update: Considering bringing Nat Friedman and Daniel Gross to Meta (information)* This weeks Buzz* NEW! W&B Inference provides a unified interface to access and run top open-source AI models (inference, docs)* NEW! W&B Weave Online Evaluations delivers real-time production insights and continuous evaluation for AI agents across any cloud. (X)* The new platform offers "metal-to-token" observability, linking hardware performance directly to application-level metrics.* Vision & Video* ByteDance new video model beats VEO3 - Seedance.1.0 mini (Site, FAL)* MiniMax Hailuo 02 - 1080p native, SOTA instruction following (X, FAL)* Midjourney video is also here - great visuals (X)* Voice & Audio* Kyutai launches open-source, high-throughput streaming Speech-To-Text models for real-time applications (X, website)* Studies and Others* LLMs Flunk Real-World Coding Contests, Exposing a Major Skill Gap (Arxiv)* MIT Study: ChatGPT Use Causes Sharp Cognitive Decline (Arxiv)* Andrej Karpathy's "Software 3.0": The Dawn of English as a Programming Language (youtube, deck)* Tools* Yupp launches with 500+ AI models, a new leaderboard, and a user-powered feedback economy - use thursdai link* to get 50% extra credits* BrowserBase announces director.ai - an agent to run things on the web* Universal system prompt for reduction of hallucination (from Reddit)*Disclosure: while this isn't a paid promotion, I do think that yupp has a great value, I do get a bit more credits on their platform if you click my link and so do you. You can go to yupp.ai and register with no affiliation if you wish. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit sub.thursdai.news/subscribe
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    1 h et 42 min
  • 📆 ThursdAI - June 12 - Meta’s $15B ScaleAI Power Play, OpenAI’s o3-pro & 90% Price Drop!

    📆 ThursdAI - June 12 - Meta’s $15B ScaleAI Power Play, OpenAI’s o3-pro & 90% Price Drop!
    Jun 13 2025
    Hey folks, this is Alex, finally back home! This week was full of crazy AI news, both model related but also shifts in the AI landscape and big companies, with Zuck going all in on scale & execu-hiring Alex Wang for a crazy $14B dollars. OpenAI meanwhile, maybe received a new shipment of GPUs? Otherwise, it’s hard to explain how they have dropped the o3 price by 80%, while also shipping o3-pro (in chat and API). Apple was also featured in today’s episode, but more so for the lack of AI news, completely delaying the “very personalized private Siri powered by Apple Intelligence” during WWDC25 this week. We had 2 guests on the show this week, Stefania Druga and Eric Provencher (who builds RepoPrompt). Stefania helped me cover the AI Engineer conference we all went to last week, and shared some cool Science CoPilot stuff she’s working on, while Eric is the GOTO guy for O3-pro helped us understand what this model is great for! As always, TL;DR and show notes at the bottom, video for those who prefer watching is attached below, let’s dive in! Big Companies LLMs & APIsLet’s start with big companies, because the landscape has shifted, new top reasoner models dropped and some huge companies didn’t deliver this week! Zuck goes all in on SuperIntelligence - Meta’s $14B stake in ScaleAI and Alex WangThis may be the most consequential piece of AI news today. Fresh from the dissapointing results of LLama 4, reports of top researchers leaving the Llama team, many have decided to exclude Meta from the AI race. We have a saying at ThursdAI, don’t bet against Zuck! Zuck decided to spend a lot of money (nearly 20% of their reported $65B investment in AI infrastructure) to get a 49% stake in Scale AI and bring Alex Wang it’s (now former) CEO to lead the new Superintelligence team at Meta. For folks who are not familiar with Scale, it’s a massive company in providing human annotated data services to all the big AI labs, Google, OpenAI, Microsoft, Anthropic.. all of them really. Alex Wang, is the youngest self made billionaire because of it, and now Zuck not only has access to all their expertise, but also to a very impressive AI persona, who could help revive the excitement about Meta’s AI efforts, help recruit the best researchers, and lead the way inside Meta. Wang is also an outspoken China hawk who spends as much time in congressional hearings as in Slack, so the geopolitics here are … spicy. Meta just stapled itself to the biggest annotation funnel on Earth, hired away Google’s Jack Rae (who was on the pod just last week, shipping for Google!) for brainy model alignment, and started waving seven-to-nine-figure comp packages at every researcher with “Transformer” in their citation list. Whatever disappointment you felt over Llama-4’s muted debut, Zuck clearly felt it too—and responded like a founder who still controls every voting share. OpenAI’s Game-Changer: o3 Price Slash & o3-pro launches to top the intelligence leaderboards!Meanwhile OpenAI dropping not one, but two mind-blowing updates. First, they’ve slashed the price of o3—their premium reasoning model—by a staggering 80%. We’re talking from $40/$10 per million tokens down to just $8/$2. That’s right, folks, it’s now in the same league as Claude Sonnet cost-wise, making top-tier intelligence dirt cheap. I remember when a price drop of 80% after a year got us excited; now it’s 80% in just four months with zero quality loss. They’ve confirmed it’s the full o3 model—no distillation or quantization here. How are they pulling this off? I’m guessing someone got a shipment of shiny new H200s from Jensen!And just when you thought it couldn’t get better, OpenAI rolled out o3-pro, their highest intelligence offering yet. Available for pro and team accounts, and via API (87% cheaper than o1-pro, by the way), this model—or consortium of models—is a beast. It’s topping charts on Artificial Analysis, barely edging out Gemini 2.5 as the new king. Benchmarks are insane: 93% on AIME 2024 (state-of-the-art territory), 84% on GPQA Diamond, and nearing a 3000 ELO score on competition coding. Human preference tests show 64-66% of folks prefer o3-pro for clarity and comprehensiveness across tasks like scientific analysis and personal writing.I’ve been playing with it myself, and the way o3-pro handles long context and tough problems is unreal. As my friend Eric Provencher (creator of RepoPrompt) shared on the show, it’s surgical—perfect for big refactors and bug diagnosis in coding. It’s got all the tools o3 has—web search, image analysis, memory personalization—and you can run it in background mode via API for async tasks. Sure, it’s slower due to deep reasoning (no streaming thought tokens), but the consistency and depth? Worth it. Oh, and funny story—I was prepping a talk for Hamel Hussain’s evals course, with a slide saying “don’t use large reasoning models if budget’s tight.” The day...
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    1 h et 33 min
  • 📆 ThursdAI - Jun 5, 2025 - Live from AI Engineer with Swyx, new Gemini 2.5 with Logan K and Jack Rae, Self Replicating agents with Morph Labs

    📆 ThursdAI - Jun 5, 2025 - Live from AI Engineer with Swyx, new Gemini 2.5 with Logan K and Jack Rae, Self Replicating agents with Morph Labs
    Jun 6 2025
    Hey folks, this is Alex, coming to you LIVE from the AI Engineer Worlds Fair! What an incredible episode this week, we recorded live from floor 30th at the Marriott in SF, while Yam was doing live correspondence from the floor of the AI Engineer event, all while Swyx, the cohost of Latent Space podcast, and the creator of AI Engineer (both the conference and the concept itself) joined us for the whole stream - here’s the edited version, please take a look. We've had around 6500 people tune in, and at some point we got 2 surprise guests, straight from the keynote stage, Logan Kilpatrick (PM for AI Studio and lead cheerleader for Gemini) and Jack Rae (principal scientist working on reasoning) joined us for a great chat about Gemini! Mind was absolutely blown! They have just launched the new Gemini 2.5 Pro and I though it would only be fitting to let their new model cover this podcast this week (so below is fully AI generated ... non slop I hope). The show notes and TL;DR is as always in the end. Okay, enough preamble… let's dive into the madness!🤯 Google Day at AI Engineer: New Gemini 2.5 Pro and a Look Inside the Machine's MindFor the first year of this podcast, a recurring theme was us asking, "Where's Google?" Well, it's safe to say that question has been answered with a firehose of innovation. We were lucky enough to be joined by Google DeepMind's Logan Kilpatrick and Jack Rae, the tech lead for "thinking" within Gemini, literally moments after they left the main stage.Surprise! A New Gemini 2.5 Pro Drops LiveLogan kicked things off with a bang, officially announcing a brand new, updated Gemini 2.5 Pro model right there during his keynote. He called it "hopefully the final update to 2.5 Pro," and it comes with a bunch of performance increases, closing the gap on feedback from previous versions and hitting SOTA on benchmarks like Aider.It's clear that the organizational shift to bring the research and product teams together under the DeepMind umbrella is paying massive dividends. Logan pointed out that Google has seen a 50x increase in AI inference over the past year. The flywheel is spinning, and it's spinning fast.How Gemini "Thinks"Then things got even more interesting. Jack Rae gave us an incredible deep dive into what "thinking" actually means for a language model. This was one of the most insightful parts of the conference for me.For years, the bottleneck for LLMs has been test-time compute. Models were trained to respond immediately, applying a fixed amount of computation to go from a prompt to an answer, no matter how hard the question. The only way to get a "smarter" response was to use a bigger model.Jack explained that "Thinking" shatters this limitation. Mechanically, Gemini now has a "thinking stage" where it can generate its own internal text—hypothesizing, testing, correcting, and reasoning—before committing to a final answer. It's an iterative loop of computation that the model can dynamically control, using more compute for harder problems. It learns how to think using reinforcement learning, getting a simple "correct" or "incorrect" signal and backpropagating that to shape its reasoning strategies.We're already seeing the results of this. Jack showed a clear trend: as models get better at reasoning, they're also using more test-time compute. This paradigm also gives developers a "thinking budget" slider in the API for Gemini 2.5 Flash and Pro, allowing a continuous trade-off between cost and performance.The future of this is even wilder. They're working on DeepThink, a high-budget mode for extremely hard problems that uses much deeper, parallel chains of thought. On the tough USA Math Olympiad, where the SOTA was negligible in January, 2.5 Pro reached the 50th percentile of human participants. DeepThink pushes that to the 65th percentile.Jack’s ultimate vision is inspired by the mathematician Ramanujan, who derived incredible theorems from a single textbook by just thinking deeply. The goal is for models to do the same—contemplate a small set of knowledge so deeply that they can push the frontiers of human understanding. Absolutely mind-bending stuff.🤖 MorphLabs and the Audacious Quest for Verified SuperintelligenceJust when I thought my mind couldn't be bent any further, we were joined by Jesse Han, the founder and CEO of MorphLabs. Fresh off his keynote, he laid out one of the most ambitious visions I've heard: building the infrastructure for the Singularity and developing "verified superintelligence."The big news was that Christian Szegedy is joining MorphLabs as Chief Scientist. For those who don't know, Christian is a legend—he invented batch norm and adversarial examples, co-founded XAI, and led code reasoning for Grok. That's a serious hire.Jesse’s talk was framed around a fascinating question: "What does it mean to have empathy for the machine?" He argues that as AI develops personhood, we need to think about what it wants. And what it wants, according ...
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    1 h et 44 min

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