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  12. Ontological Language Models (OLMs)(olmapp.ai)
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  13. New SDK for Photonic Compute?(github.com/q-ant-gmbh)
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  17. The state of MCP server security, after reading thirteen of them(les-k.github.io)
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  18. Advancing Private AI Compute with secure, server-side memory(deepmind.google)
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  19. Show HN: A "talk to a real person now" video chat, self-hosted on Cloudflare(github.com/yoavshalev)
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  20. KDE for People(kdeforpeople.com)
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  21. Hylio(marbletech.us)
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  22. Financial arithmetic is kind of hard(applied-algorithms.tech)
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  23. Pilgrim raises $25M seed for biological threat detection device(wsj.com)
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  24. Ask HN: What Is It Like Working with Q/KDB+? Q/KDB+ Questions?
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  25. McDonald's bets on chicken to win back diners as beef prices soar(ft.com)
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  26. OpenAI researchers might be spending >$4M/day on tokens (at API prices)(abtin.com)
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  28. Database of Databases VoltDB(dbdb.io)
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  29. Morgan Stanley Investment-Bank Deal List Leaked in Email Misfire(yahoo.com)
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  30. Qwen Image 2.1 beats Google Nano Banana 2.0 with minuscule 7B parameter model(tomshardware.com)
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A Startup Wants to Power Data Centers with 'Supercritical' Carbon Dioxide

1 pointsby 1h agowired.com
1 comments
59m agoHN ↗

The differences between simple cycle and combined cycle turbines - https://en.wikipedia.org/wiki/Gas-fired_power_plant#Gas_turb...

I'm not in this space, but I seem to recall that manufacturing capacity is badly constrained for these power plants. With the stupid money being thrown at AI now - having 2X the efficiency may not matter much, if the extra complexity means they can't ship at least 0.5X the units. There's also the much slower dispatch time issue, and folks building AI DC's may just not want the added complexity.

(And yes, a startup that just came out of stealth with $8M may be a long way from shipping anything more than a few little demo units.)