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Atomically precise mechanosynthesis of carbon structures on hydrogenated Si(100) by inverted-mode STM

Megan Cowie, Chris Deimert, Ryan Groome, Alex Inayeh, Robert J. Kirby, Cameron J. Mackie, Jonathan Myall, Sam Rohe, Luis Sandoval, Khalil Sayed-Akhmad, Bheeshmon Thanabalasingam, Reid Wotton, Rafik Addou, Aly Asani, Brandon Blue, Adam Bottomley, Kareem A. Clarcia, Tyler Enright, James Zhangming Fan, Robert A. Freitas, Alan T. K. Godfrey, Si Yue Guo, Aru Hill, Taleana Huff, Mark Jobes, Hadiya Ma, Adam C. Maahs, Oliver MacLean, Steven M. Maley, Michael Marshall, Terry McCallum, Ralph C. Merkle, Mathieu Morin, Ryan Plumadore, Henry Rodriguez, Marc Savoie, Benjamin Scheffel, Janice L. Wong, Damian G. Allis, Jeremy Barton, Michael Drew, Matthew R. Kennedy, Tait Takatani, Marco Taucer, Dusan Vobornik, Ryan Yamachika, Mathieu Durand

arXiv·2026

The ability to build atomically precise structures on surfaces with complete control over both atomic placement and chemical bonding remains a central challenge in nanoscale fabrication. Here, we demonstrate simultaneous spatial and chemical control over the mechanosynthetic fabrication of carbon structures. Using inverted-mode STM, C$_2$ units are donated from surface-deposited molecules to pre-patterned reactive sites on a hydrogen-passivated Si(100) surface. We demonstrate single-site C$_2$ donation, spatially patterned multi-site C$_2$ donation, and the stepwise assembly of polyyne structures through successive C-C bond formation. Together, these results establish controlled mechanosynthetic donation as a foundational capability for programmable atomically precise fabrication.

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The growth of template rhetoric in an AI society

John R. Gallagher

Substack·2026

Everyone seems to be noticing how bad AI writing is.

★ 4.0 (1)

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Why are you reading fewer books?

Arnold Kling

Substack·2026

Because you should be reading fewer books

★ 1.0 (1)

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If you let AI do your writing, I will come to your house and kill you

Sam Kriss

Substack·2026

Did you think I wouldn’t be able to tell? I can tell.

★ 5.0 (1)

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Encyclical Letter of His Holiness Leo XIV Magnifica Humanitas (15 May 2026)

Pope Leo XIV

vatican.va·2026

Encyclical letter magnification humanitas of His Holiness pope Leo XIV on safeguarding the human person in the time of artificial intelligence

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Untitled Blog Post

Unknown Author

x.com·2026

No abstract available

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Is Capability a Liability? More Capable Language Models Make Worse Forecasts When It Matters Most

Nick Merrill, Jaeho Lee, Ezra Karger

arXiv·2026

We document inverse scaling in LLMs on forecasting problems whose underlying time series exhibit superlinear growth and tail risk of regime change, a structure common in finance and epidemiology. On these tasks, more capable models produce worse distributional forecasts. The pattern appears on ForecastBench-Sim (FBSim), a contamination-free, simulated-world benchmark we release, in forecasting synthetic SIR epidemics with a matched linear control, and replicates in real-world datasets on COVID-19, measles, housing markets, and hyperinflation. A per-quantile decomposition shows the failure concentrates at the upper tail, which more capable models shift upward to track aggressive extrapolations of growth, while the lower tail stays put. A within-family study of Llama-3.1 shows that both model scale and post-training independently contribute to this effect. Domain knowledge does not reliably rescue calibration. This inverse scaling does not appear on single-threshold metrics common in LLM forecasting benchmarks, reversing the sign of the capability--accuracy relationship on identical outputs. Single-threshold scoring at conventional cutoffs misses the upper-tail cost; tail-inclusive scoring reverses the sign of the capability--accuracy relationship on the same outputs. We recommend that LLM forecasting evaluations use continuous (and unbounded) measures of accuracy alongside bounded binary threshold metrics.

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Multilevel associations between discrimination and sleep health among ethnically and racially minoritized students during the college transition: Coping as a mediator.

Tiffany Yip, Zhenqiang Zhao, Kyle Lorenzo, Enrique Dimagiba, Jinjin Yan, Nidia Ruedas-Gracia, Heining Cham, David Chae, Mona El Sheikh

Cultural Diversity & Ethnic Minority Psychology·2026

No abstract available

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Kundera, Hegel, and the AIs

Anna Gát

Substack·2026

Eyes that can see.

★ 2.5 (2)

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how to enter side doors

maja

Substack·2026

a field guide to jobs, cold emails, and making yourself legible to the right people

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The Future of the Humanities Looks Like Monasteries

Jared Henderson

Substack·2026

Humanistic research outside of the university

★ 4.5 (2)

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The quiet grief of adult friendship

Pranav Jain

Times of India Voices·2026

A few weeks ago, a friend called me at 01:40 AM. Not texted. Called. For a brief second, my body prepared itself for bad news. Adulthood has conditioned most of us to believe that late-night...

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