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Garlic Lemon Chicken with Broccolini

Breaking MAD: Generative AI could break the internet

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Photo of Garlic Lemon Chicken with Broccolini

Rest day

Garlic lemon chicken paired with tender-crisp broccolini, seasoned with smoked paprika, oregano, and chili flakes.

A study by Rice University warns that training generative AI models on synthetic data can lead to "Model Autophagy Disorder" (MAD), where AI systems degrade over successive generations.

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The
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Enjoy the recovery time, or make-up anything you missed from last week.

Ingredients

8 oz chicken breast, cut into strips
2 Tbsp butter
2 cloves garlic, minced
½ tsp dried oregano
¼ tsp smoked paprika
¼ tsp black pepper
½ lemon, juiced
½ lb broccolini, trimmed (or substitute with regular broccoli florets)
¼ tsp red chili flakes (optional)
½ lemon, sliced
Salt and pepper, to taste

Macronutrients

Protein: 54g
Fat: 30g
Carbs: 16g

Preparation

Marinate the chicken: In a bowl, combine butter (1 Tbsp), minced garlic (2 cloves), oregano (½ tsp), smoked paprika (¼ tsp), black pepper (¼ tsp), salt to taste, and lemon juice (½ lemon). Add the chicken strips (8 oz) and toss to coat. Let the chicken marinate for at least 15-20 minutes.

Cook the chicken: Heat a skillet over medium-high heat. Add the marinated chicken and cook for 3-4 minutes per side, until golden brown and fully cooked through. Remove from the skillet and set aside.

Prepare the broccolini: In the same skillet, add butter (1 Tbsp) if needed. Add the broccolini (½ lb), red chili flakes (¼ tsp, if using), salt, and pepper to taste. Cook for 4-5 minutes, stirring occasionally, until the broccolini is tender-crisp. Add lemon slices (½ lemon) during the last minute of cooking for extra flavor.

Serve: Arrange the cooked chicken on a plate with the sautéed broccolini. Serve with a wedge of lemon for an extra burst of citrus.

This degradation occurs as models trained on AI-generated data develop artifacts, leading to outputs that are progressively marred by errors.⁠

“The problems arise when this synthetic data training is, inevitably, repeated, forming a kind of a feedback loop — what we call an autophagous or 'self-consuming' loop.”

FULL ARTICLE

COMMENTS

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jrherring March 06, 2025 | 10:15 EST
Easy to hit this one today. Accidental rest day due to WFH. Lots of slow aced walking w/dogs
Mia March 05, 2025 | 14:48 EST
It’s interesting that this article opens framing the problem as “data scarcity” when that’s not the real issue at all.
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" developers are already running up against supply limitations and may soon exhaust training resources altogether.
Against this backdrop of data scarcity"
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We’re not running out of data far from it. Every second, people generate new data across social media, search queries, emails, and every other digital interaction. The problem isn’t that data doesn’t exist; the problem is that it’s expensive to extract, clean, and use in a way that won’t trigger lawsuits. This isn’t a data problem. It’s a money problem
Mia March 05, 2025 | 14:51 EST
And this idea of AI eating its own tail and leading to catastrophic results should sound familiar to all readers. This is not a new problem. This has been happening to every one of us for years. Every time anyone scrolls through a feed that only shows you what you already agree with, or headlines are believed before they're fact checked... every time the internet feeds you a slightly distorted version of reality it’s the same self-consuming loop. No fresh data. No real perspective. Just the same recycled narratives, mutating with each pass. Synthetic data is bad for AI models to be trained on the same way this 'synthetic data' were all exposed to is bad for us.
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