🏗️ Nvidia backs $105B OpenAI mega data center

Plus, AI can now spot depression 4 years early

August 17, 2026

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Welcome back, AI Admirers!

Breaking News: Nvidia is financing up to $105 billion to build a massive new OpenAI data center in Pike City, Ohio. Managed by SoftBank’s SB Energy, the site will power the next generation of artificial intelligence models.

Get ready to dive into the latest happenings in AI.

📢 Today's Headline:

  • SoftBank, Nvidia, & OpenAI join forces in Ohio

  • New AI model spots depression risk in teens

  • DeepSeek cuts V4 Pro prices by 75%

  • 5 human skills that beat any AI prompt

  • Latest AI Tools & Resources

  • Today’s Poll and Results

Read time: 4.0 minutes!

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Hand-picked News

Nvidia is quietly stepping in to backstop the massive financial risk of building gigawatt-scale power infrastructure because utility companies refuse to build energy plants without a guaranteed payout.

  • Nvidia is providing up to $105 billion in credit guarantees to finance 4.25 gigawatts of capacity in Ohio, while OpenAI acts merely as a tenant paying minimal upfront costs.

  • SoftBank unit SB Energy must pour $4.2 billion into local grid infrastructure just to deliver the required 10 gigawatts of power.

  • The facility lets Nvidia upgrade its compute chips generationally while locking down the physical land and power contracts for decades.

As frontier AI models demand full power-plant output to train, hardware vendors are forced to become energy underwriters to keep compute scaling alive.

Keep an eye on how datacenter financing shifts from tech capex to structured credit guarantees as power availability becomes the main bottleneck for AI scaling.

Scientists have trained an AI model to read subtle brain activity patterns in teenagers, predicting who will develop depression up to four years before clinical symptoms even appear.

  • The model flags risk by scanning how the visual cortex responds to angry faces, catching a subtle negativity bias in brain wiring where people default to assuming others are hostile.

  • Predictions were tested on fMRI scans of 19-year-olds and successfully predicted who developed depressive symptoms by age 23, backed up by clinical patient data and genetic markers.

  • Beyond diagnostic health, researchers plan to adapt these brain-aligned neural networks to build emotional perception models for humanoid robotics.

Current mental health diagnostics rely heavily on self-reported questionnaires after symptoms surface, leaving zero room for early preventative intervention during critical developmental years.

Expect early diagnostic AI to shift from simple pattern matching to deep brain-aligned neural networks that map cognitive biases before they manifest outwardly.

DeepSeek is undercutting Western AI providers by dropping its flagship model pricing to pennies, forcing competitors into an unsustainable margin squeeze for high-end reasoning.

  • Standard input dropped to $0.435 per million tokens while output fell to $0.87, representing a 75 percent rate slash compared to previous flagship tiers.

  • Prompt caching reduces repetitive input costs down to $0.003625 per million tokens, making long-context agentic loops practically free.

  • The model retains its full 1-million-token context window, explicitly targeting enterprise codebases and multi-step autonomous workflows that usually trigger massive API bills.

As frontier AI developers struggle with expensive inference infrastructure, extreme price cuts make high-tier reasoning accessible for everyday production applications.

Route your high-complexity reasoning and agentic tasks to DeepSeek's V4 Pro endpoint to slash production API overhead by an order of magnitude.

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🚨 Quick Poll

Today’s Poll:

Nvidia bankrolling OpenAI's $105B data center — reaction?

Login or Subscribe to participate in polls.

Vote today, see the results tomorrow!

Previous Poll:

Will you pay 4x more for a smarter AI, or go for cheap and good enough?

  • A) Smart & pricey – Quality is worth every penny – 83% 🏆

  • B) Cheap & cheerful – Save cash, good enough wins - 17%

Turns out nobody actually wants budget AI when there's real work on the line — quality beats cost every single time. People are more than willing to pay a premium as long as it saves them from fixing lazy, hallucinated outputs.

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