Space to Think

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Problems Rules

Wish / ProblemWhy?

[Results]"I wish this thing be like that..."

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  | (18403)  Humans Becoming Obsolete :  Where Will the Information and Computing Resources Asymmetry in AI Lead Us To?
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  | (18320)  Realize AI systems with General Intelligence Beyond Human Level
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  | (18320)  Artificial Intelligence
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Solutions Rules

Method / PrincipleHow?

[Results]"I found a way this could work..."

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  |  (18635)  ClipText :  A text that visualizes itself.
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  |  (18320)  Automatic Ideas Collector and Synthesizer
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Projects Rules

Work / ActivityWhat?

[Results]"Here's what I did, and will do next..."

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Activity
o-92001

7 dweeks 9 days ago I implemented column hashing @ Postgres synchronization solution

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.

—chronological


-3.0000 ħ (3.0 HUR) (+0.0)

o-91001

8 dweeks 3 dhours ago I implemented document storage in my database project @ Document database backed by keyvalue storage

I spent a few hours working on the remainder of this problem and got documnent retrieval working after finishing save document.

This lets you save and retrieve JSON documents

The document data inserted is also queryable by SQL.

Joins against documents are not yet supported but I plan to implement this.

—chronological


-4.0000 ħ (4.0 HUR) (+0.0)

8 dweeks 9 days ago For 100 threads I managed to get 100 million multithread communication event requests a second, taking 10 nanoseconds to communicate between threads @ Parallel multithreaded actors without locks

Most computers use locks to synchronize, which are very slow. This design is far faster and allows locks to be elided for performance.

I use unscynchronized data structures and achieve 100 million requests a second raw communication performance for a cost of 10 nanoseconds per batch of messages.

—chronological


-8.0000 ħ (8.0 HUR) (+0.0)

9 dweeks 6 dhours ago Saving JSON documents as SQL @ Document database backed by keyvalue storage

I managed to store a JSON document and I used the SQL inserter to insert the document. In theory the object is queryable by SQL

{ "items": [("name": "item1"), ("name": "item2")], "subobject": {"subobject_key": "value"} }

—chronological


-3.0000 ħ (3.0 HUR) (+0.0)

9 dweeks 9 days ago I updated epollserver to multiplex client sockets across threads. @ Efficient multithreaded server

The idea is that each thread has a ringbuffer, when a socket is accepted, a message is put on the ringbuffer and the thread begins listening to that user.

All the other threads are notified of all the users so they can also echo data to them.

This is efficient as a thread can serve thousands-millions of connections and there are multiple threads.

One problem, which is a generic problem for multithreading is servicing one of multiple kinds of events from one thread. I rely on the fact I am polling a ringbuffer and epoll.

—chronological


-7.0000 ħ (7.0 HUR) (+0.0)



Operations >>

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Products

Outlets / EndpointsWhere?

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Persons

Identities / BrandsWho?

[Results]"Here are those who do, you may want to know..."

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Stories

News / ReportsWhen?

[Results]"Here's what's happening, you might want to know..."

• 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.
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