Eric Vishria

@OpenAI and @Cerebras have signed a multi-year agreement to deploy 750 megawatts of Cerebras wafer-scale systems to serve OpenAI customers. This has been a decade in the making. Deployment begins in early 2026, and when fully rolled out, it will be the largest high-speed AI inference deployment in the world. OpenAI and Cerebras were both founded in 2015 with radically ambitious goals. OpenAI set out to build the software that would push AI toward general intelligence. Cerebras set out to rethink computing hardware from first principles. Our teams met as far back as 2017. We shared ideas, early work, and a common belief: there would come a point when model scale and hardware architecture would have to converge. That point has arrived. ChatGPT set the direction for the entire industry. It showed the world what AI could be. Now we’re in the next phase - not proving capability, but delivering it at global scale. The history of technology is clear on one thing: speed drives adoption. The PC industry didn’t operate at kilohertz. The internet didn’t change the world on dial-up. AI is no different. As models grow more capable, speed becomes the bottleneck. Slow systems limit what users can do, how often they engage, and whether AI becomes infrastructure or remains a novelty. Cerebras was built for this moment. By keeping computation and memory on a single wafer-scale processor, we eliminate the data-movement penalties that dominate GPU systems. The result is up to 15× faster inference, without sacrificing model size or accuracy. That speed changes product design, user behavior, and ultimately productivity. For consumers, it means AI that feels instantaneous. For the economy, it means agents that can finally drive serious productivity growth. For Cerebras, 2026 will be a defining year. With this collaboration with OpenAI, Cerebras’ wafer-scale technology will reach hundreds of millions - and eventually billions - of users. We’re proud to work alongside OpenAI to bring fast, frontier AI to people around the world. This is what a decade of long-term thinking looks like.

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Today, we are introducing Inkling. Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. thinkingmachines.ai/news/introduci… Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

This is an amazing quote from Lindsey Graham about when he realized how politics works. theatlantic.com/ideas/2026/07/…

"A modelless company is sitting on shifting sand." Yash Patil (@ypatil125) is the founder and CEO of @appliedcompute, a company that trains custom models on company data and serves them in production. His conviction: every organization has its own definition of what good looks like, and a company that doesn't own its model is one system card away from finding out what it can no longer do. (0:00) Introduction (3:50) Betting on custom AI models (12:30) Yash's early influences and first projects (19:29) Inside OpenAI during Sam Altman's firing (28:18) What Yash admires about Sam Altman (29:43) Teaching models to reason (35:39) The core insight behind Applied Compute (45:55) Why model training never ends (51:25) The culture and people of Applied Compute (1:03:48) Final meditations Thank you to the partners who make this possible @brexHQ: The intelligent finance platform. brex.com/mario @Guru_HQ: The AI source of truth for work. getguru.com @withpersona: Trusted identity verification for any use case. withpersona.com/generalist

Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work. openai.com/index/previewi…

Half the land area of Boston, a quarter of NYC, and 15% of San Francisco were raised from the sea before 1970. Since then, land values have grown by 30x but land reclamation has ground to a halt. This failure follows the spread environmental law around the world rather than any geographic, technological, or economic constraint. Thus, our lack of land reclamation and the severe land constraints in our most important cities are self-imposed and avoidable. We should make more land! worksinprogress.co/issue/why-the-… Land reclamation was common practice in American cities in the 19th and 20th centuries. Seattle, Chicago, Boston, Charleston, San Francisco, New York, Philadelphia, Norfolk, DC, Oakland, and LA all had major land reclamation projects that extended residential living space or infrastructure or both. The Bay Area alone reclaimed an area of land equivalent to ten Manhattans between 1850 and 1957, at an inflation-adjusted cost of $330,000 per acre. Today, an acre of single-family-zoned land in San Francisco County averages $24 million. Even if the cost of land reclamation grew faster than inflation, despite technological leaps in dredging and construction technology, there should be plenty of room for profitable arbitrage. And yet, land reclamation is extinct in the Bay Area as well as in every other American city. This isn’t because we ran out of good spots to reclaim: Two thirds of the San Francisco Bay is shallower than Boston’s Back Bay was when it was reclaimed in the 1860s. Nor is it because of better transportation: We’ve used up all of the easy suburban expansions enabled by the train and the automobile so prices are rising even in outlying suburbs. Instead, land reclamation’s death is due to environmental law. Evidence for this claim shows up in the coincident timing of land reclamation’s demise across dozens of cities in the US and in the environmental compliance process of the few reclamation projects still inching along today, but the best evidence is found internationally. No country has more experience or more reason to reclaim land than the Netherlands. The Dutch built 5% of their country out of the sea over the first half of the 20th century and by 1975 they had another artificial lake in the Zuiderzee ready to drain at the flip of a switch, which would have made tens of thousands of acres of land just east of Amsterdam. But a 1969 environmental review law, similar to NEPA in the US, stopped the project before it was finished and the site is now a protected bird sanctuary. Their one major reclamation since, the Maasvlakte 2 extension of the port of Rotterdam, took 11 years and 6,000 pages of environmental review before construction began. Inversely, countries without these laws, like China, Singapore, and Japan have continued major land reclamation projects into the 21st century. China has reclaimed over 5,000 square kilometers since 2000, including a city of half a million outside Shanghai and Singapore has grown by a quarter since 1975. Every major American city has a land shortage. But we have more than enough shallow water, dredging capacity, and market incentive to make more land, just like we did 150 years ago. The only obstacle is our own choice to make making land illegal. The benefits of more land in our most productive cities are large enough to justify the effort of reforming the laws that currently prevent it. Let’s make more land!