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Hackers Hate AI Slop Even More Than You Do

Key Takeaway: AI-generated junk is flooding cybercrime forums, and even hackers are pushing back because it makes their communities feel less human, less skilled, and less useful.

More Insights:

• Researchers analyzed nearly 98,000 AI-related conversations on cybercrime forums since ChatGPT’s launch.

• Forum users complain about low-quality AI posts, generic cybersecurity explainers, and fake expertise.

• AI has not dramatically lowered the skill barrier for low-level cybercrime so far.

• Its biggest impact appears in already automated areas like SEO fraud, bots, and romance scams.

• Some criminals still want limited AI help, such as grammar or post-structuring tools, but reject fully AI-generated forums.

Why it matters: The backlash shows that even communities built around deception still depend on trust, reputation, and human interaction—AI slop does not just pollute mainstream platforms; it weakens the social fabric of any online space it touches.

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Google’s Gemma 4 AI models get 3x speed boost by predicting future tokens

Key Takeaway: Google’s new Multi-Token Prediction drafters for Gemma 4 speed up AI inference by predicting and verifying multiple tokens at once without reducing output quality.

More Insights:

• Traditional LLMs are slow because they generate one token at a time.

• The real bottleneck is often memory bandwidth, not raw GPU power.

• Speculative decoding uses a small drafter model to propose tokens and a larger model to verify them.

• Gemma 4’s MTP drafters share KV cache and activations to avoid wasted computation.

• Google says the approach can deliver up to 3x faster inference, including gains on edge devices and Apple Silicon.

Why it matters: Faster inference does not just make AI feel snappier; it lowers the cost and friction of using powerful models in real products, which could make advanced AI far more practical outside big cloud environments.

The Chip Craze Is Turning a Glass Company and a Toilet Maker Into AI Stocks

Key Takeaway: The AI boom is lifting not only chipmakers, but also unlikely suppliers like glassmakers, machinery companies, toilet manufacturers, cooling firms, and even struggling brands chasing AI hype.

More Insights:

• Corning surged after Nvidia committed $500 million to expand fiber-optic manufacturing.

• Caterpillar is benefiting from demand for power-generation equipment used in data centers.

• Toto’s semiconductor ceramics business is growing fast, helping its stock rally sharply.

• Vertiv and other power-and-cooling companies are soaring as data centers need more energy and heat management.

• Some companies, like Allbirds and Algorhythm, are pivoting toward AI in ways that resemble dot-com-era hype.

Why it matters: AI is becoming less of a single-industry story and more of an economy-wide infrastructure race, where the biggest winners may be the overlooked companies solving bottlenecks no one was watching.

Other stuff

• Barry Diller trusts Sam Altman. But ‘trust is irrelevant’ as AGI nears, he says.

• How Elon Musk left OpenAI, according to Greg Brockman

• The ChatGPT-ification of American Business

• Introducing ChatGPT Futures: Class of 2026

• Elon Musk’s xAI Is Becoming a Cloud Firm

• Musk Weighed Offering Altman Tesla Board Seat, Jury Told

• OpenAI unveils protocol to stretch compute

• I Asked ChatGPT to Manage a Stock Portfolio. Here’s How It Did.

• Uber uses OpenAI to help people earn smarter and book faster

• Google updates AI search to include quotes from Reddit and other sources

• Writers Are Going to Extremes to Prove They Didn’t Use AI

Hope you enjoyed today's newsletter

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