Good morning. It's Thursday, July 9, and we're covering whether AI search is making us less curious, Wall Street's AI infrastructure spending spree, and Grok 4.5's push for faster, cheaper AI.

Plus: yesterday's Real or AI verdict and a new poll asking whether AI changes the case for planned economies.

Rather than chasing benchmark wins alone, Grok 4.5 emphasizes faster inference and lower token usage for coding and office work. SpaceXAI launches the model as its flagship AI for software engineering, agents, and knowledge tasks, trained alongside Cursor. It runs at 80 tokens per second, costs $2 per million input and $6 per million output tokens, and averages 15,954 output tokens per SWE Bench Pro task. Grok 4.5 is available in Grok Build, Cursor, and the API, with EU access expected in mid-July.

China is preparing to approve limited purchases of NVIDIA H200 AI chips despite its push to strengthen domestic chipmakers. Officials have reportedly told Alibaba, ByteDance, and DeepSeek they may soon receive permission to buy the chips after months of delays. Beijing could approve fewer than 200,000 H200s—less than half of what companies requested—as AI computing demand continues to outpace local supply.

After a restricted launch, OpenAI begins rolling out GPT-5.6 Sol to the public following government-approved testing. The flagship model becomes available from July 9 alongside the lighter Terra and Luna models, with added safeguards for cybersecurity, misuse, and sensitive requests. OpenAI says GPT-5.6 Sol delivers comparable performance using roughly one-third the output tokens of Anthropic's Mythos 5. The release follows weeks of evaluation with a select group of trusted partners.

Higgsfield now plugs straight into Claude via MCP. Ask for a cinematic ad, a talking avatar, a product video, and it renders inside the chat while you keep working. No tabs, no timeline, no learning curve. The whole studio, one prompt away.

Connect Higgsfield to your Claude for free — takes about a minute

Anthropic's new JSpace research reveals how AI reasons internally, offering unprecedented insight into Claude's hidden thought process.

Every morning the Forward Future team argues about the stories, papers, and launches that matter. What's real, what's hype, and where AI is headed next. These are the public notes.

Yesterday's fight: what happens when better models make information cheap, abundant, and hard to protect? The conversation moved from data moats and open-source economics to energy demand and voice interfaces.

▸ Data moats in a world of shared intelligence
▸ Jevons, energy, and the demand curve for intelligence
▸ Open source is not replacing frontier models yet

Read yesterday’s Zeitgeist →

One of the many knocks on communism: no central planner can distribute resources as efficiently as free markets. But what if AI can? If a superintelligence has access to perfect information and can allocate resources better than the price mechanism.

In an opinion essay, neuroscientist Anne-Laure Le Cunff argues that AI-powered search tools such as Google’s AI Overviews, ChatGPT, Claude, and Perplexity are reducing opportunities for curiosity by delivering instant answers instead of encouraging exploration. Drawing on neuroscience research, she says curiosity strengthens learning when people spend time seeking answers, allowing the brain to absorb related information and form broader connections.

Le Cunff contends that AI-generated summaries shorten this process, limiting incidental discoveries that have historically fueled scientific, technological, and creative breakthroughs. She calls on AI companies to redesign search experiences by making sources more visible, presenting competing perspectives, and creating modes that prioritize exploration alongside efficiency. → Read the full article here. (Paywall)

Technology companies are raising unprecedented amounts of debt to finance AI infrastructure, extending the AI investment boom from equity markets into corporate bonds. Since January 2026, Meta, NVIDIA, Oracle, SpaceX, Amazon, and Alphabet have collectively issued tens of billions of dollars in bonds, with Morgan Stanley forecasting $350–400 billion in AI-related investment-grade issuance in the U.S. this year.

While highly rated "hyperscalers" have kept borrowing costs low, investors are becoming more cautious about riskier AI-linked projects such as data centers and cloud infrastructure providers. The article argues that assessing long-term credit risk is increasingly difficult as the AI industry evolves rapidly, making it harder to predict which companies will generate enough returns to repay debt over the coming decades. → Read the full article here. (Paywall)

Prime Intellect Raises $130M: Startup hits a $1B valuation after funding to expand its platform helping enterprises build and train custom AI agents.

OpenAI Unveils GPT-Live Voice Model: Instead of waiting for users to finish speaking, GPT-Live can listen and respond simultaneously.

NVIDIA Loses $1T in Value: Shares fell 16% from May highs, leaving the AI chip leader trading at its lowest valuation since before the AI boom.

BofA Lends OpenAI $520M: Bank of America extended its first credit line to OpenAI as the AI company prepares for a potential IPO.

SambaNova Raises $1B: AI chip startup reached an $11B valuation after new funding to expand inference hardware and on-premise AI systems.

Yesterday's image was REAL. Here's how you voted: 69% of readers thought it was AI, while 31% correctly identified the image as real.

Thanks for reading. See you next time!

— Matthew Berman, Nick Wentz & the Forward Future Team