Rules
Method / PrincipleHow?-
0| (18635) ClipText : A text that visualizes itself.0| (18320)
Automatic Ideas Collector and Synthesizer see more..
+ Rules
Work / ActivityWhat?[Results]"Here's what I did, and will do next..."
see more..People had been concerned about the preservation of authenticity, and proof of time of existence of their ideas, before the time when an insecure browser and the web could peep into.
Proof-posting works with most of the known blockchains, and you can even enter a custom blockchain of your own.
-24.0000 ħ (10.0 HOUR) (+0.0)Improved the feeds summary a bit.
-1.0000 ħ (1.0 HUR) (+0.0)To increase the signal-to-noise ratio for first-time visitors of the home page, I have hidden menus, and compacted operations, so as to let the eyes focus on content.
However, apparently, some people didn't like it, because it is not clear what to do, so, I mostly reverted the change.
-10.0000 ħ (10.0 HUR) (+0.0)It is now possible to lock targets, create teasers for investment, and share them with potential interested parties.
-24.0000 ħ (10.0 HOUR) (+0.0)I implemented a hash that takes previous data and current column and the previous hash to produce a hash of the entire database.
This allows us to synchronize with the minimum of data transmissions when I write the synchronizer part which shall rehash all its own data, then retrieve the hash of a binary search of the sorted data.
-3.0000 ħ (3.0 HUR) (+0.0)
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Outlets / EndpointsWhere?+
Identities / BrandsWho?[Results]"Here are those who do, you may want to know..."
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News / ReportsWhen?-
Next-Gen OpenAI Codex Model : Neural networks trained for code autocompletion, generate reasonable code from plain text instructions. What's next? Inspired by the rudimentary GPT-3 ability to generate code, the OpenAI researchers decided to focus on specifically training a system, called Codex, to generate code from text. The following video came out as a live demo of the new Next-Gen OpenAI Codex system: "Proficient in more than a dozen programming languages, Codex can now interpret simple commands in natural language and execute them on the user’s behalf—making it possible to build a natural language interface to existing applications." The system is claimed to have a 37% accuracy by the metric that OpenAI group has defined, a 10% improvement compared to the previous model. Details in the research paper: https://arxiv.org/pdf/2107.03374.pdf.
[Results]"Here's what's happening, you might want to know..."
9 days 6 dhours ago @ HiveCell
When I realize that the incessant cleaning of surfaces in Japan is … (expand)2 dweeks 3 days ago @ HiveCell
Can you think of adaptations such as airplanes and trains that move …… (expand)カプセルを移動している飛行機、電車などの適応も考えられますか、カプセル自体は、自動運転車機能があって、自由に世界を探検出来るのは必修機能だと思います。4 dweeks 3 days ago @ URL powered computer
The reason why I thought of this is because I recently created … (expand)4 dweeks 3 days ago @ URL powered computer
I thought -- today, we're often loading the whole app, as a … (expand)12 dweeks 3 days ago @ Multithreaded programming language, compiler and interpreter
The link to the project's repo is telling more than the summary. … (expand)12 dweeks 6 days ago @ Simple Brainwave Modulation Prototype App
Welcome back, [Niamh]! I'm quite surprised how good a match is your … (expand)12 dweeks 6 days ago @ Imaginary auction shop
This idea reminds me of some projects on crowdfunding platforms. They only … (expand)
[Results]"I found a way this could work..."