OpenAI's mental health plan, upacked

OpenAI Faces Mental Health Issues

Over 1 million people per week talk to ChatGPT about suicide, according to new OpenAI data. That’s 0.15% of its 800 million weekly users—a small percentage, but still far too many people. And? OpenAI says a similar share of users show “heightened levels of emotional attachment to ChatGPT.”

Here’s how OpenAI is dealing with this stark reality ➡️ 

• OpenAI says it’s working with 170 mental health experts to improve ChatGPT’s responses.

• It says the latest version of GPT-5 is 65% better at handling sensitive conversations.

• The company is also building systems to detect underage users and flag signs of emotional dependence.

A question of ethics: OpenAI’s efforts are under the microscope after 1) a lawsuit from the parents of a 16-year-old boy who shared suicidal thoughts with ChatGPT before his death by suicide 2) warnings from state regulators and 3) CEO Sam Altman’s recent decision to relax ChatGPT’s guardrails.

Mercor’s $10B Bet on Human Feedback

Mercor just raised $350 million, hitting a $10 billion valuation. But it’s not building another chatbot—it’s hiring humans to train them.

From hiring to training: The Thiel Fellow–founded startup began as an AI-driven hiring tool before pivoting to what it now calls “human intelligence for machine learning.” Its 30,000+ contractors earn a collective $1.5 million per day refining AI models through expert feedback, context sharing, and annotation.

Timing is everything: After Meta’s $14.3 billion stake in Scale AI torpedoed its neutrality, Mercor swooped in to fill the gap. The new funding round, led by Felicis, will go toward expanding Mercor’s talent network and speeding delivery of training data to labs like Google and OpenAI.

Qualcomm’s Turning Phones Into AI Powerhouses

Qualcomm is going after Nvidia. The chipmaker announced two new processors—the AI200 and AI250—designed to run AI models instead of just training them.

Built for deployment, not labs: Using the same Hexagon architecture found in its smartphone chips, Qualcomm’s new AI processors can cluster up to 72 per rack, functioning like scaled-down data centers. The AI200 ships with 768GB of RAM, while the upcoming AI250 promises a leap in power efficiency—ideal for edge computing where speed and energy matter more than brute force.

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