Subvolts take OpenAI's new GPT models and Mistral's open-source release highlight the fast-paced AI race. Mar 26, 2026
For you
Developers
Learn about new model releases like GPT-5.4 and Mistral Small 4, plus agent runtime tools from Nvidia.
Business
Understand OpenAI's enterprise pivot, Mistral's Forge for custom models, and the competitive agent OS landscape.
Hype note
3/5Notable

This episode covers significant product announcements from OpenAI and Mistral, and discusses industry shifts in agent technology and enterprise AI.

#238 - GPT 5.4 mini, OpenAI Pivot, Mamba 3, Attention Residuals

2 h 01 News roundup Hosts: Andrey Kurenkov, Jeremie Harris
0:002:00:49

Audio streams from Skynet Today. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Andrey Kurenkov and Jeremie Harris discuss AI news on Last Week in AI. OpenAI launched GPT-5.4 mini and nano with large context windows. Mistral open-sourced its Small 4 model family and introduced Forge for custom model training. The episode covers intensified agent OS competition, business strategy shifts at OpenAI and Microsoft, and new AI safety research.

Explained simply

AI labs are releasing new tools. OpenAI has new versions of its AI with much larger memory, while Mistral is sharing its AI models for others to use. This helps businesses build their own AI and shows how companies are competing to create smarter AI assistants.

Why listen

This episode offers a comprehensive overview of recent AI developments, crucial for understanding the competitive landscape. It's for AI professionals, business leaders, and enthusiasts tracking frontier lab strategies. Listeners will learn about OpenAI's product expansion, Mistral's open-source contributions, and the evolving agent ecosystem. The discussion highlights how major players are adapting to market pressures and advancing AI capabilities, providing context for ongoing industry shifts and safety considerations.

On the mic
  • HostAndrey Kurenkov
  • HostJeremie Harris
About
Key facts
  • Episode Title: #238 - GPT 5.4 mini, OpenAI Pivot, Mamba 3, Attention Residuals
  • Show: Last Week in AI
  • Length: 121 minutes
  • OpenAI Models: GPT-5.4 mini and nano with 400k-token context windows
  • Mistral Models: Small 4 family (MoE, 119B total/6B active)
  • Agent OS Competition: Meta's Manus, Nvidia NeMo/Open Shell
Show notes from Skynet Today

Our 238th episode with a summary and discussion of last week's big AI news!

Recorded on 03/18/2026

Hosted by Andrey Kurenkov and Jeremie Harris

Feel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.ai

Read out our text newsletter and comment on the podcast at https://lastweekin.ai/

In this episode:

* OpenAI released GPT-5.4 mini and nano with 400k-token context windows, higher per-token prices but claimed token-efficiency gains in Codex; nano is API-only and pitched for high-volume classification/data extraction despite a major price increase.

* Mistral open-sourced the Small 4 model family (MoE, 119B total/6B active) combining reasoning, multimodal, and coding-agent capabilities, and announced Forge to help businesses train or post-train custom models.

* Agent “operating system” competition intensified with Meta’s acquired Manus launching a local Mac agent, Nvidia announcing NeMo/“Open Shell” sandboxed agent runtime, and Nvidia also unveiling DLSS 5 plus major hardware forecasts including Groq LPU integration.

* Business and safety updates included OpenAI shifting focus toward productivity/enterprise amid competition, Microsoft reorganizing Copilot and frontier-model efforts, Meta delaying its next model, China-linked ByteDance deploying large Nvidia clusters abroad, and new safety work on steganography, chain-of-thought faithfulness, fine-tuning defenses, cyber-attack evals, and constitution/spec compliance.

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Timestamps:

Jargon decoded
context windows
Andrey Kurenkov, Jeremie Harris
how much information an AI can consider at once
token-efficiency
Andrey Kurenkov, Jeremie Harris
how well an AI uses its processing power per piece of information
MoE
Andrey Kurenkov, Jeremie Harris
Mixture of Experts, a way to make AI models more efficient
Published
Show
Last Week in AI · Skynet Today
Length
2 h 01
Companies
OpenAI, Meta, Microsoft, xAI
Products
GPT-5.4 mini, GPT-5.4 nano, Mistral Small 4, Copilot
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Questions people ask

What are the new OpenAI GPT models?
OpenAI released GPT-5.4 mini and nano, featuring 400k-token context windows and claimed token-efficiency gains.
What did Mistral announce?
Mistral open-sourced its Small 4 model family and launched Forge to help businesses train custom AI models.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Skynet Today.