😺 Can AI actually predict the future? LLMs struggle here

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Here’s what it can do today: ChatGPT can summarize a spreadsheet. Claude Cowork can run its own code to analyze your financial docs.

What Happened

Both Codex and Cowork can edit spreadsheet files. But can these “language” based models reliably tell you what happens next?

• The vagueposters have certainly been vagueposting, while OpenAI has publicly discussed slowing parts of frontier-model training to tighten safeguards.

• And yes, if OpenAI drops Astra before we go live, we'll cover that too.

• Plus the other notable models and tools that dropped this week, and which ones are actually worth remembering.

Key Details

That gap between explaining data and predicting from it is the whole argument behind our newest podcast. Neuralk CEO Alexandre Pasquiou says language models flatten away critical structure in business data, while tabular foundation models are built to learn from rows, columns.

• DeepSeek Harness: what an “agent harness” is, why people keep talking about them, and whether it matters outside hardcore coding circles.

• Cursor Origin: why Cursor suddenly wants to host your code too, and what that could mean if you build websites, apps, or internal tools with AI.

• Unsloth Studio: how to run and experiment with AI models on your own computer, even if you've never touched a terminal.

Why It Matters

In our latest podcast episode, Grant asks whether we are wasting billions trying to make LLMs do a job they structurally struggle with, how Neuralk's Seldon model plugs into Claude, ChatGPT, and Excel, and why Alexandre thinks tabular models could become the.

• Qwen 3.8: what an open model is, why you might run one instead of ChatGPT or Claude, and when that makes sense.

• Instead, we’ll share whats new and why you, fellow normie, should care.

What Reports Say

Coverage of the story so far points to:

• Continued reporting by The Neuron as more details emerge