Nvidia and Six Wall Street Giants Want to Turn Data Centers Into Toll Roads.

Every rocket SpaceX launches runs on parts, materials, and tech from other companies.

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1  SpaceXAI launched Grok Bot, an always-on AI teammate that works around the clock and can teach itself new skills from a screen recording.

Grok Bot completes tasks start to finish by connecting to your most-used apps, tools, or websites, and can run continuously without waiting for you to check in. You can run multiple Grok Bots collaborating on the same project, and teach them new skills simply by recording yourself doing the task on screen. The beta is live now for SuperGrok Heavy and Cursor Ultra/Premium subscribers on desktop and iOS. See ways to use Grok Bot or watch it in action.

2  Unsloth released a desktop app that runs and trains open-weight models locally, no cloud required.

Unsloth Desktop lets you switch between leading text, image, or video open models and generate outputs directly on your own device instead of routing everything through cloud infrastructure. It runs on macOS, Windows, and Linux, with access to recently released models including Meta's Muse Glimmer, DeepSeek-V4, and Kimi K3. For anyone weighing data privacy, latency, or ongoing API cost against the convenience of the cloud, this removes the tradeoff entirely for models it supports. See how it works.

3  OpenAI's head of ethics departed less than a year after joining, the latest in a string of safety-focused executives leaving the company.

Chloé Bakalar's exit follows head of safety Johannes Heidecke and chief futurist Joshua Achiam, both of whom left in July. Longtime executive Brad Lightcap, most recently COO, also announced his departure. A pattern of safety-adjacent executives leaving in quick succession is a different signal than ordinary attrition, and it lands the same month OpenAI designated its own model as capable of a real-world cyberattack.

What's happening. Nvidia partnered with six of America's largest asset managers to help fund the ongoing AI infrastructure buildout. The stated goal is turning AI factories into an investable asset class, making it dramatically easier for Wall Street to finance new data center construction. This is fundamentally a perception project. Data centers are currently viewed by Wall Street as expensive, risky bets riding on an unproven technology. After this partnership, the pitch is that they start looking like predictable, cash-producing assets, the same category as commercial real estate or toll roads. Predictable cash flow is a much easier product for money managers to sell to their own clients.

The big number. $500 billion. That is what the partners, Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR, expect to mobilize over time. It remains genuinely unclear how the underlying mechanics will actually work in practice, which is itself worth noting: a headline figure this large, attached to a plan this early, is often more useful as a signal of intent than as a commitment with defined terms.

Why this matters beyond the tech sector. AI-linked stocks already account for a record 45% of the S&P 500's total market cap as of April. Initiatives like this tie the broader US economy even more tightly to AI's continued success. If demand for AI infrastructure falters at any point, the resulting ripple effects will not stay contained to the technology sector. They flow directly into pension funds, retirement accounts, and any portfolio holding a broad market index.

The elephant in the room. Data centers do not actually have a financing problem right now. They have a PR problem. Reports estimate that over 300 communities have banned or paused data center projects due to local backlash over power draw, water use, and noise. No amount of clever financial engineering solves that specific problem. Without genuine buy-in from the American communities where these facilities actually need to get built, it may not matter how many hundreds of billions Wall Street successfully mobilizes.

😅 Robot food. When the robots take over, this engineer will probably be first in line. He posted a Claude memory prompt claiming it 10x'd his results, but it turns out he is really just verbally abusing Opus 5. (1M views)

🖋 Market research. Thinking about launching a business or product? This post breaks down the go-to-market strategy Y Combinator startups actually use, so you can replicate it with Claude. Learn it here. (5,000 bookmarks)

🤔 AGI achieved. If someone from 1980 time-traveled to today, they would likely view current models as AGI. Paul Graham argues that this is itself evidence we have reached the singularity in a thought-provoking post that has pulled nearly 500 replies.

💔 AI overreach. Someone in San Francisco spent months in a relationship that seemed too good to be true, and it was. It turned out their partner was automating almost every aspect of the relationship with AI. (1M views)

🤝 Working together. A new update from OpenAI syncs agent work across ChatGPT Work and Codex, making it considerably easier to carry context between conversations rather than starting from scratch each time.

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