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How do you define cheating in the age of AI? | TechCrunch

This AI startup raised $5.3M to help you ‘cheat on everything.’ But in the age of AI, how do you define cheating?

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This AI startup raised $5.3M to help you ‘cheat on everything.’ But in the age of AI, how do you define cheating?

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  1. @LiquidAIWater

    April 24, 2025 at 9:59 pm

    So why would anyone hire someone who didn’t verse themselves into something to the point of being an expert? Why not replace you will an AI agent? Plus, when it TechCrunch going to address the power/environmental hazards from AI? You people were all about climate change and suddenly crickets when AI boomed. We are walking into an environmental crisis!

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Science & Technology

Defense Startup Funding is Rising. Now Comes the Hard Part.

The influx of funding in defense tech could leave many startups left in the “valley of death” between initial funding and high expectations. We talked to Anduril’s first investor on the harsh realities that set in between prototyping and deployment.

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The influx of funding in defense tech could leave many startups left in the “valley of death” between initial funding and high expectations.

We talked to Anduril’s first investor on the harsh realities that set in between prototyping and deployment.

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Science & Technology

The Gap Between What You Pay for AI and What It Actually Costs is an Industry-Wide Problem

Was ChatGPT’s initial pricing based on a model…or a vibe and a guess? With costs rising, the pricing reality is crashing into the expectations set by that $20/month fee.

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Was ChatGPT’s initial pricing based on a model…or a vibe and a guess? With costs rising, the pricing reality is crashing into the expectations set by that $20/month fee.

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Science & Technology

Uber’s AI Budget Crisis Is a Warning Sign for Not Just Anthropic

The economics of AI are getting harder to ignore. Uber went from over-budget to capping internal AI usage in roughly six weeks, which sparks a bigger question…can AI labs bring costs down fast enough to meet what enterprises and consumers are actually willing to pay?

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The economics of AI are getting harder to ignore. Uber went from over-budget to capping internal AI usage in roughly six weeks, which sparks a bigger question…can AI labs bring costs down fast enough to meet what enterprises and consumers are actually willing to pay?

Continue Reading

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