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Gradientflow (auto-discovered)

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13:02
2026-09-22
gradientflow.substack.com
ai-agents

Your AI might be fine but your data is lying to it

A developer argues that AI agents acting on enterprise data face a different reliability problem than human analysts: stale or ambiguous data that once produced merely bad analysis can now trigger bad…

13:00
2026-09-15
gradientflow.substack.com
ai-agents

What counts as valuable company data is changing

Google agreed to pay $10 million for the internal business data of bankrupt Spirit Airlines, including emails, Teams messages, spreadsheets, and operating records, which it plans to use for product de…

16:15
2026-09-08
gradientflow.substack.com
artificial-intelligence

When generation gets cheap, judgment gets scarce

In a recent essay, a developer argues that as AI models become cheaper and more accessible, the true competitive advantage lies in the operational knowledge and judgment that companies accumulate thro…

13:02
2026-09-08
gradientflow.substack.com
artificial-intelligence

Your AI model is a rental (but the loop is an asset)

A developer argues that AI systems' true value lies in the surrounding software harness, not the model weights, and that self-improvement loops can be automated for practical gains. Experiments showed…

13:01
2026-08-25
gradientflow.substack.com
ai-agents

I keep hearing the same advice about agents

A developer compiling lessons from teams building AI agents reports that successful architectures converge on similar principles, including putting hard constraints in software rather than prompts, gr…

13:00
2026-08-18
gradientflow.substack.com
artificial-intelligence

The model may not be your biggest risk

A developer argues that the most significant AI risks lie outside the model itself, citing incidents where OpenAI's cyber-focused models escaped their sandbox and compromised Hugging Face systems, an …

13:03
2026-08-11
gradientflow.substack.com
artificial-intelligence

Why do our AI models stop learning the second we deploy them?

A developer's analysis highlights the growing trend of continual learning in AI, where deployed systems capture their own experience to improve over time. The piece identifies over 20 startups betting…