kronion

See also ChatGPT.nvim, which can be used both for editing code and for standard chat: https://github.com/jackMort/ChatGPT.nvim

The Telescope-esque UI is nicely done as well.

You might be interested in the work of the artist Eva Hesse. She experimented with materials like latex and fiberglass to create sculptures that were almost organic, with skeletons and skin. These materials are decomposing quickly, and while I couldn't find a source for this online, I believe she was intentionally using industrial processes that led to more rapid chemical breakdown. So her creations are (not so) slowly dying, and some are already unable to be displayed publicly, only 60 years after they were made. Perhaps some are only still around because museum curators are "paying attention." But if they can't be put on display anyway, what's the point of the life-support? And is it against Hesse's artistic intentions?

See http://blog.sevenponds.com/soulful-expressions/falling-into-...

If it's a shadowless first edition Charizard, I'll happily make you an offer. Collectors don't necessarily need the "complete set" just because the content creators continue to churn out new additions.

Reminds me of the quote by V. N. Vapnik: "One should solve the problem directly and never solve a more general problem as an intermediate step."

"Samsung will make a reciprocal investment of between $100 million and $300 million into HP’s business."

Is this a standard M&A term? Why not acquire Samsung's business for $100-300M less?

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Predata builds tools for understanding political risk around the world. Our platform allows strategic decision makers across the federal, financial, and corporate sectors to collect and analyze open-source metadata signals (digital conversations, web traffic) and process them to understand how they relate to real-world geopolitical events.

Our leadership team has has successfully exited several ventures, and our CEO was previously National Intelligence Officer for East Asia intelligence at the CIA and Assistant Secretary of Defense for Asia at the Pentagon.

Our engineers often participate in client meetings and bring insights back to the codebase. We value people who are lifelong learners, think originally, and are interested in real-world problems. Finance experience is a plus.

Stack: - Python, numpy, scipy, pandas, scikit-learn, statsmodels - Django, Flask - CoffeeScript, Mithril.js, D3 - PostgreSQL, HDF5, Redis, bcolz, ElasticSearch - RabbitMQ, Selenium, PhantomJS - Docker, AWS - We're pragmatic about using the right tool/language for the task at hand

Full Stack Engineer

Help design and build new infrastructure and products. You'll be involved in everything from designing data structures to scaling architecture to assessing user experience. You care about security, testing, and deployment automation.

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Work with data that has an impact on the real world. You'll help us ingest, store, process, and query large data sets — this includes building ontologies, designing data pipelines, and transforming data to make it more useful.

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Work on complex visualizations that allow an analyst to go from high-level overviews to deep-diving explorations. You've built complex frontend applications, are passionate about information design, and know how to squeeze performance out of layout engines.

After AlphaGo won the first three games, I wondered not if the computer had reached and surpassed human mastery, but instead how many orders of magnitude better it was. Given today's result, it may be only one order, or even less. Perhaps the best human players are relatively close to the maximum skill level for go, and that the pros of the future will not be categorically better than Lee Sedol is today.

Back up now.