LiveTheDream

Continue.dev is an extension and it does inline edits just fine in VS Code and IntelliJ.

Is it possible that you the files you expect mapped at not tracked in a git repo?

That would explain the empty output.

I’m on a slightly modified version of 0.52.1 which is getting a bit dated but it works well for me even with not officially supported source, like svelte.

In case this thread helps someone else, some errors with —show-repo-map can be solved by setting environment variable PYTHONIOENCODING=utf-8

In the chat, you can[0]:

- View the current repository map using `/map`

- Force a refresh of the repository map using `/map-refresh`

If you want to save the repository map to a file for inspection, you can use [1]

    aider --show-repo-map

[1] https://aider.chat/docs/config/options.html#--show-repo-map

For me, this has been perplexity.ai. Give it a query, it expands that into multiple queries (possibly chained depending on results) and synthesizes the results into an answer with citations.

Here is software engineer levels.fyi data for Walmart, Walmart Gobal Tech, and Amazon: https://www.levels.fyi/t/software-engineer?compare=Walmart+G...

Some other options:

1. Piping into `fzf -m` (use tab to toggle selections and built-in search to filter options).

2. Percol https://github.com/mooz/percol (also has filtering, use ctrl-space to toggle selection).

I wondered how this could reliably distinguish between a scene cut and a cut to commercial without content hashes and/or program schedules being shared through the network, then realized that 20 years ago was already 2003 and of course home internet was common by then.

Apparently one offline technique was checking for black frames inserted by local stations.

Some more information here: https://en.m.wikipedia.org/wiki/ReplayTV

A person today could build something to be used by a person tomorrow.

I subscribe to this theory as well. Another earlier book about the topic is I Am A Strangle Loop by Douglas Hofstadter[0]

[0] https://www.goodreads.com/book/show/123471.I_Am_a_Strange_Lo...

Update: I got an automated email from Goodreads to download this export. It contains a bunch of json files containing user/usage-related data for my account like request logs, newsfeed updates, kindle logins, site settings, etdc.

I assume this data export includes much more than just the book data (which I just discovered you can get immediately as CVS via https://www.goodreads.com/review/import) which might be part of a compliance requirement.

You can request your data here https://www.goodreads.com/user/edit?ref=nav_profile_settings

They will send a confirmation email. After you click the link to confirm, it says "We will provide your information to you as soon as we can. Usually, this should take no more than a month."

EDIT: you can export your book database as CSV (shelves, ratings, reviews, etc) here https://www.goodreads.com/review/import (there's a link towards the top to export...disregard that the URL says "import".

This reminds me of a great short story about the intelligence of parrots, "The Great Silence" by Ted Chiang.

Full text available here: https://electricliterature.com/the-great-silence-by-ted-chia...

For the Benefit of Mankind, by Cixin Liu?

The 5-place date is meant to draw attention to a longer view of time, a position advocated for by the Long Now Foundation.[0]

[0] https://blog.longnow.org/02013/12/31/long-now-years-five-dig...

Import with Anki Desktop and sync to your device with AnkiWeb. Check out https://apps.ankiweb.net/ .

https://millionshort.com/ can do this

cf "radioactive data" to tag datasets and see which downstream models used those datasets for training: https://ai.facebook.com/blog/using-radioactive-data-to-detec...

There are some search engines that help to solve this problem (no affiliation):

- https://wiby.me/

- https://millionshort.com/

Reddit is not bad for discovering content if you understand the inherent biases, and I personally have good results with blogrolls on blogs I already enjoy such as https://slatestarcodex.com/.

FTA: Although the technology is impressive, we’re still a long way from it being deployed in an actual warehouse, especially around humans. That would involve a level of complexity that robots haven't yet mastered.

Leaving this for anyone who is trying to disable Pocket...

Go to `about:config`, search for `extensions.pocket.enabled` and switch to `false`.

Not as good as uninstalling, but at least disabling is possible.

I am a huge fan of using `make` for this sort of ad hoc data pipeline. The workflow is very natural, as you can play around with each step on the command line and then drop it into the makefile once you get it right..better for reproducibility than search up through terminal history to replay individual lines!

In your example, I would drop the shell and python scripts and simply run:

    watch -n 2 -d "touch a && make"

Very cool. Reminds me of Steve Hanov's work:

http://stevehanov.ca/blog/index.php?id=33

http://zwibbler.com/

https://www.websequencediagrams.com/

https://www.eff.org/deeplinks/2013/11/busting-eight-common-e...

Where do you see the ability to break into a market that is heavily driven by peer recommendations?

Tapad | Senior Software Engineers, Data Scientists, Senior Infrastructure Engineers | NYC | Full-time | http://www.tapad.com

We build a probabilistic graph of internet-connected devices based on billions of signals. Lots of Scala-based big data problems to hack on! The realtime systems handle many 100s of thousands of QPS with mere millisecond latency.

How can you detect and remove anomalous data (from botnets perhaps) from datasets that are multiple petabytes in size? Can you write a connected components algorithm that works efficiently at such a scale? Can you write a model that detects individual behaviors within a cluster of device activity?

We run our own datacenters globally, are migrating systems over to Mesos (ooh, shiny), and infrastructure is a first-class critical project, not an afterthought.

All of this happens with a fairly small team of just over 30 engineers, all working together in NYC.

Come join us.

Email toby@tapad.com and say hi.

Tapad, New York, NY

The company that pioneered true cross-device advertising and analytics. Google for "Nielsen Tapad" to see validation :)

Looking for Scala developers with solid CS fundamentals, strong capacity for critical thinking, and experience working with low latency/high throughput systems or big data analytics. You can learn Scala on the job, but a background in Scala or functional programming in general is a major bonus! We've been coding in Scala from the ground up.

Talented co-workers, challenging problems to solve, great office and location are a few things you'll find here. We value technology and productivity and responsibility. We push ourselves to develop quality software using the latest proven tools. You may have seen us at the ny-scala meetup (hosting tonight! see you there), NE Scala Symposium, or Scala Days. Each engineer has a healthy yearly conference budget to facilitate learning.

Contact email is in my profile, or for fun try POSTing your email and a prime number to https://hello.tapad.com/hello (using parameter names "email" and "prime").

You can export org mode files as HTML, PDF, LaTex, even iCalendar. Try C-c C-e to see options.

Cache that has most of the images:

http://web.archive.org/web/20140930151228/http://www.alterna...

(Original site exceeded its traffic quota and was suspended)