- Developers
- Learn about new open-weight models like DeepSeek 3.2 and Flux 2, and understand hardware trends impacting AI development.
- Business
- Gain insights into the competitive AI hardware market, potential IPOs, and strategic moves by major AI labs.
- Everyday users
- Understand the latest advancements in AI models for text and images, and how new chips might improve AI-powered applications.
This episode provides a comprehensive roundup of significant AI news, including model releases, hardware developments, and business strategy shifts.
#227 - Jeremie is back! DeepSeek 3.2, TPUs, Nested Learning
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
The 227th episode of Last Week in AI features hosts Andrey Kurenkov and Jeremie Harris discussing recent AI advancements. Topics include the DeepSeek 3.2 language model and Flux 2 image generator. The episode also covers new AI chips from Amazon and Google's TPUs, competition with Nvidia, and potential shifts in the AI business landscape with Anthropic's IPO talks and OpenAI's 'Code Red' initiative. Research papers on memory architectures and multi-agent systems are also highlighted.
This episode covers new AI models that are faster and cheaper, alongside new computer chips designed for AI. It also touches on big companies making strategic moves and new research to make AI smarter and more efficient.
This episode offers a broad overview of the fast-moving AI landscape, making it valuable for anyone tracking industry trends. It connects open-source model releases like DeepSeek 3.2 and Flux 2 to the hardware race involving Google and Amazon, and the strategic business moves by major players like Anthropic and OpenAI. Listeners gain insight into how these developments shape the competitive environment and push research frontiers in areas like reasoning and efficiency, relevant to all stakeholders in AI.
- HostAndrey Kurenkov
- HostJeremie Harris
- Episode Title: #227 - Jeremie is back! DeepSeek 3.2, TPUs, Nested Learning
- Show: Last Week in AI
- Length: 95 minutes
- New Models: DeepSeek 3.2 and Flux 2 released
- Hardware Competition: Amazon's new AI chips and Google's TPUs challenge Nvidia
- Business Landscape: Anthropic's potential IPO and OpenAI's 'Code Red' noted
Our 227th episode with a summary and discussion of last week's big AI news!
Recorded on 12/05/2025
Hosted by Andrey Kurenkov and Jeremie Harris
Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai
Read out our text newsletter and comment on the podcast at https://lastweekin.ai/
In this episode:
- Deep Seek 3.2 and Flux 2 release, showcasing advancements in open-source AI models for natural language processing and image generation respectively.
- Amazon's new AI chips and Google's TPUs signal potential shifts in AI hardware dominance, with growing competition against Nvidia.
- Anthropic's potential IPO and OpenAI's declared ‘Code Red’ indicate significant moves in the AI business landscape, including high venture funding rounds for startups.
- Key research papers from DeepMind and Google explore advanced memory architectures and multi-agent systems, indicating ongoing efforts to enhance AI reasoning and efficiency.
Timestamps:
- (00:00:10) Intro / Banter
- (00:02:42) News Preview
- Tools & Apps
- (00:03:30) Deepseek 3.2 : New AI Model is Faster, Cheaper and Smarter
- (00:23:22) Black Forest Labs launches Flux.2 AI image models to challenge Nano Banana Pro and Midjourney
- (00:28:00) Sora and Nano Banana Pro throttled amid soaring demand | The Verge
- (00:29:34) Mistral closes in on Big AI rivals with new open-weight frontier and small models | TechCrunch
- (00:31:41) Kling's Video O1 launches as the first all-in-one video model for generation and editing
- (00:34:07) Runway rolls out Gen 4.5 AI video model that beats Google, OpenAI
- Applications & Business
- (00:35:18) NVIDIA’s Partners Are Beginning to Tilt Toward Google’s TPU Ecosystem, with Foxconn Reportedly Securing TPU Rack Orders
- (00:40:37) Amazon releases an impressive new AI chip and teases an Nvidia-friendly roadmap | TechCrunch
- (00:43:03) OpenAI declares ‘code red’ as Google catches up in AI race | The Verge
- (00:46:20) Anthropic reportedly preparing for massive
- TPUs
- Google's Tensor Processing Units are specialized hardware accelerators designed for machine learning.
- Special computer chips made by Google to help AI learn faster.
- open-source AI models
- AI models whose underlying code and architecture are publicly available, allowing for modification and redistribution.
- AI programs that anyone can see, use, and change.
- multi-agent systems
- AI systems composed of multiple interacting intelligent agents, often used to solve complex problems.
- AI systems where several smart programs work together.
Questions people ask
- What new AI models were discussed?
- The episode covers DeepSeek 3.2, a new AI model, and Flux 2, an AI image generation model.
- What are the latest developments in AI hardware?
- Amazon is releasing new AI chips, and Google's TPUs are mentioned as part of the growing competition against Nvidia in AI hardware.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Skynet Today.





