Aug 7, 2026 · 3 min listen · Last updated August 7, 2026
From storyflo. This is your daily audio brief. Theo, August 7th. The systems update — five tech stories that bear on what's coming next. Let's get into it. First, from KDnuggets. 5 Free Courses to Learn Modern AI and LLMs.
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Daily A.I. Brief · August 7th
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5 Free Courses to Learn Modern AI and LLMs
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Small Language Models with Hugging Face transformers Library + smolLM3
Running a 70B model in production is expensive, and for many tasks, unnecessary. If you're building a focused pipeline, a well-trained 3B model will match or beat the 70B on your specific task at a fraction of the cost.
Red Hat, NVIDIA, IBM back project turning AI policy into code
Red Hat has launched asago, an open-source community project that aims to turn AI governance policy into production-ready deployment code. The project describes itself as an automated, auditable workflow that connects the “fragmented steps, tools, and requirements” of engineering and compliance teams. With regulation such as the EU AI Act now taking effect, Red Hat frames the choice facing organisations as: either grind AI innovation down through manual review, or let ungoverned agents run in production without anyone checking their behaviour against policy.
Alibaba, DeepSeek push China’s AI model race towards lower costs
Alibaba has launched Qwen3.8-Max, its largest AI model to date, as DeepSeek’s latest V4-Flash model draws attention for inference pricing that is lower than several competing systems. Qwen3.8-Max has 2.4 trillion parameters and uses a mixture-of-experts architecture, which activates only part of the model for each request. Alibaba said around 95 billion parameters are active at a time, reducing costs and response delays compared with activating the full model. DeepSeek uses a similar sparse architecture at a smaller scale.
PRISM2 model uses clinical dialogue to interpret pathology slides
Built by Paige and Microsoft, PRISM2 reads whole-slide images through a perceiver-based encoder trained jointly on tissue tiles and clinical dialogue drawn from pathology reports. The model aggregates thousands of tile embeddings per slide into one representation, then generates text that answers diagnostic questions rather than simply classifying pixels. Training data spans 2.3 million whole-slide images. The dialogue supervision comes from 685,507 pathology reports that Memorial Sloan Kettering Cancer Center collected during routine care, converted into question-and-answer pairs by GPT-4o.
Why health AI interfaces must adapt to user expertise
MIT researchers and collaborators found that AI explainability tools in the health sector can produce sharply different results depending on who uses them. When applied to skin disease diagnosis, non-experts improved their accuracy with AI assistance, although the improvement largely came from deferring to the model. Primary care providers showed a different pattern: they performed best when they received an AI prediction without an explanation.
Alibaba tests new business model for Qwen open-source AI
Alibaba plans to introduce revenue-sharing terms for some commercial users of its next Qwen open-weight AI model, Reuters reported, citing two people familiar with the company’s plans. The arrangement would require larger companies that generate revenue from offering the model as a service to reach a commercial agreement with Alibaba. The exact revenue-sharing rate has not been finalised, the sources said. Alibaba is expected to introduce the measure with its next open-source model.
How AI Is changing Instagram engagement without replacing the human touch
Every post you see, every Reel that autoplays, and every ‘Explore’ page suggestion on Instagram is now decided by its AI system. With over three billion people using it, that’s not a small detail; it’s the whole algorithm. But here’s the point: the more AI controls over how you see the content, the more it rewards what feels human. As said by Instagram head Adam Mosseri in a year-end memo, that platform will prioritise “real human-made content” over AI-generated content. So, is AI replacing the human element of Instagram, or protecting it? The honest answer is neither extreme.
Amazon, Cursor, Microsoft, OpenAI, and Vercel unite on a shared standard for AI agent plugins
Amazon, Cursor, Microsoft, OpenAI, and Vercel have jointly created Agent Plugins, an open standard that defines a single package format for AI agent extensions. Version 1.0.0 uses a plugin.json manifest file and supports both agent skills and MCP servers. The article Amazon, Cursor, Microsoft, OpenAI, and Vercel unite on a shared standard for AI agent plugins appeared first on The Decoder.
OpenAI's hockey-puck-sized smart speaker with moving parts is set to ship in 2027
OpenAI's planned smart speaker is taking shape. The company's first hardware device will be donut-shaped, roughly the size of a hockey puck, and priced above $300, according to Bloomberg. The article OpenAI's hockey-puck-sized smart speaker with moving parts is set to ship in 2027 appeared first on The Decoder.