docs: ✏️ update links for accuracy and improve content across multipl…

…e documents

Revised various documents to enhance accuracy and clarity by updating outdated links to archived versions. Changes include updates in Asynchronous Communications.md, COVID-19.md, Datathons.md, Decentralized Web.md, House.md, IPFS.md, Large Language Models.md, Learning.md, News.md, Science Fiction Reads.md, Social Games.md, Teamwork.md, Thinking.md, and Data/Data Culture.md. These updates ensure users have access to the most current information and resources.

Asynchronous Communications.md

@@ -2,7 +2,7 @@
 
 - Having [asynchronous communication channels and making heavy use of them can have great effects on productivity](https://www.martinklepsch.org/posts/asynchronous-communication.html).
 - Every question asked in an internal Slack is a policy failure.
-- [Asynchronous environments allows for self discovery without interruptions](https://snir.dev/blog/remote-async-communication/):
+- [Asynchronous environments allows for self discovery without interruptions](http://web.archive.org/web/20240222195139/https://snir.dev/blog/remote-async-communication/):
   - You can keep on your flow without waiting for someone to give you details.
   - You can get into "Deep [[Focus]]" session without context switching that allows for better [[productivity]].
   - You can work whenever, since you are not dependent on anyone immediately.

COVID-19.md

@@ -9,7 +9,6 @@ Most data around this crisis was incomplete, constantly evolving, and [[Politics
 - [The Basic Dance Steps Everybody Can Follow](https://medium.com/@tomaspueyo/coronavirus-the-basic-dance-steps-everybody-can-follow-b3d216daa343).
 - [Coronavirus Info-Database](https://www.lesswrong.com/coronavirus-link-database). An attempt to organize the disparate papers, articles and links that are spread all over the internet regarding the COVID-19 pandemic.
 - [Justified Practical Advice](https://www.lesswrong.com/posts/LwcKYR8bykM6vDHyo/coronavirus-justified-practical-advice-thread) and [What should we do once infected with COVID-19](https://www.lesswrong.com/posts/F3q7eL7pdQqhWFTYh/what-should-we-do-once-infected-with-covid-19#NR3wH8DxZX2eBBvG7) are useful once infected.
-- [COVID-19 Resources for the Elderly and Families](https://nanha.org/2020/09/17/covid-19-resources-for-the-elderly-and-families/).
 - [Distant Socializing, during Physical Distancing](https://github.com/Pezmc/distant-socializing/blob/master/README.md) - Suggested distant socializing tools, games and activities to help keep in touch with family, friends and loved ones during social distancing and the coronavirus (COVID-19) pandemic.
   - There are lots of [[Social Games]] out there!
   - [Activity List](https://www.reddit.com/r/nosurf/wiki/activities).

Data/Data Culture.md

@@ -18,7 +18,7 @@
       - Business Reviews are one of the best ways to get people to think about data.
   - Value of clear goals and expectations. Validate what you think your job is with your manager and stakeholders, repeatedly.
 - [Weekly Business Review meetings are a process control tool](https://commoncog.com/the-amazon-weekly-business-review/). A tool designed to uncover and disseminate the causal structure of a business.
-- [While the output of your team is what you want to maximize, you'll need some indicators that will help guide you day-to-day](https://data-columns.hightouch.io/your-first-60-days-as-a-first-data-hire-weeks-3-4/). Decide what's important to you (test coverage, documentation missing, queries run, models created, ...), and generate some internal reports for yourself.
+- [While the output of your team is what you want to maximize, you'll need some indicators that will help guide you day-to-day](http://web.archive.org/web/20240303143022/https://data-columns.hightouch.io/your-first-60-days-as-a-first-data-hire-weeks-3-4/). Decide what's important to you (test coverage, documentation missing, queries run, models created, ...), and generate some internal reports for yourself.
 - [Data teams should be a part of the business conversations from the beginning](https://cultivating-algos.stitchfix.com/). Get the data team involved early, have open discussions with them about the existing work, and how to prioritize new work against the existing backlog. Don't accept new work without addressing the existing bottlenecks, and don't accept new work without requirements. **Organizational [[politics]] matter way more than any data methods or technical knowledge**. The hard bit about becoming data driven in business isn't the technical bits. It's the political bits.
   - Including data people in meetings causes happy accidents!
   - The layout of the organization impacts time of the information to propagate and adds losses.
@@ -28,7 +28,7 @@
     - [People talk about data as the new oil but for most companies it's a lot closer uranium](https://news.ycombinator.com/item?id=27781286). Hard to find people who can to handle or process it correctly, nontrivial security/liabilities if PII is involved, expensive to store and a generally underwhelming return on effort relative to the anticipated utility.
 - The purpose of becoming data driven is to build a causal model of the business in your head. The purpose of doing all this work is that you want to understand how your business actually works and grows, not rely on superstitious beliefs about how your business works and grows.
   - You become data driven by looking at the data and not that much by hiring/expanding the data team. You can't outsource it.
-- [The pain in data teams come from needing to influence PMs/peers with having little control of them. Data teams need to become really great internal marketers/persuaders](https://anchor.fm/census/episodes/The-evolution-of-the-data-industry--data-jobs-w-Avo-CEO-and-Co-founder-Stefania-Olafsdottir-e16hu1l). That said, it shouldn't be the data team job to convince the organization to be data driven. That's not an effective way of spending resources.
+- [The pain in data teams come from needing to influence PMs/peers with having little control of them. Data teams need to become really great internal marketers/persuaders](http://web.archive.org/web/20210827235335/https://anchor.fm/census/episodes/The-evolution-of-the-data-industry--data-jobs-w-Avo-CEO-and-Co-founder-Stefania-Olafsdottir-e16hu1l). That said, it shouldn't be the data team job to convince the organization to be data driven. That's not an effective way of spending resources.
   - Executives are expected to be data driven, even if they don't know what it means.
   - Epistemology of the leadership team really really matters.
 - People problems are orders of magnitude more difficult to solve than data problems.
@@ -96,7 +96,7 @@
   - Data doesn't so much drift towards entropy, **but sprints at it**.
   - [Navigating the chaos to arrive at a trustworthy recommendation is one of the most important jobs to be done.](https://roundup.getdbt.com/p/iterating-on-your-data-team). Decisions usually need to be taken faster and data analyst are [not invited to the table early enough](https://petrjanda.substack.com/p/bring-data-analyst-to-the-table). Again, be lean and iterate.
   - Data is *not* a "set it and forget it" kind of activity. Your dashboard *will* get stale in less than six months. Your key metrics *will* eventually have bad data in them. That machine learning model you spent all of last quarter developing *will* **[drift](https://towardsdatascience.com/model-drift-in-machine-learning-models-8f7e7413b563)** from its original fit. The environment in which your business operates is constantly changing, and so will the product or service that your business delivers. As a result, what is knowable about your business, about your product or service, is constantly changing too. And fast.
-- [Have regular cleanups and audits to keep data in check](https://www.avo.app/blog/data-literacy-why-people-dont-trust-data-tips-from-patreons-dir-of-data-science). They are crucial to keeping your data trust up to par. [Schedule time to delete stuff](https://twitter.com/EdDaWord/status/1532148425487097857).
+- [Have regular cleanups and audits to keep data in check](http://web.archive.org/web/20231004070856/https://www.avo.app/blog/data-literacy-why-people-dont-trust-data-tips-from-patreons-dir-of-data-science). They are crucial to keeping your data trust up to par. [Schedule time to delete stuff](https://twitter.com/EdDaWord/status/1532148425487097857).
 - We're moving from software consumers to data consumers. Data and BI will become more and more federated (you get data insights on your JIRA card without having to leave JIRA)
 - Over time, data literacy across organizations will become commonplace the same way typewriting has. [Most professionals, at all levels of the business, will be capable of generating their own insights without requiring a data team](https://roundup.getdbt.com/p/data-expertise-everywhere).
 - Data practitioners acknowledge that solid reporting is at the bottom of the data hierarchy of needs but few companies do even basic KPI reporting well.
@@ -108,7 +108,7 @@
     - 1. Get a well-placed leader with influence to message, model, and demand data-driven execution.
     - 2. Hire/fire based on data aptitude and usage.
     - 3. Create mechanisms that force analytical conversations. Sometimes there is no way around spending an afternoon breaking down metrics by different segments until you find The Thing.
-- [Start small. Don't try to wrangle data for the entire company until you have the tools and process down for one team](https://data-columns.hightouch.io/your-first-60-days-as-a-first-data-hire-weeks-3-4/).
+- [Start small. Don't try to wrangle data for the entire company until you have the tools and process down for one team](http://web.archive.org/web/20240303143022/https://data-columns.hightouch.io/your-first-60-days-as-a-first-data-hire-weeks-3-4/).
   - Difficulty to work with data scales exponentially with size.
   - [Rule of thumb; your first customer as a data person should be growth](https://twitter.com/josh_wills/status/1577699871335010304).
 - [Data is used largely to answer these questions](https://roundup.getdbt.com/p/bring-back-scenario-analysis):
@@ -125,7 +125,7 @@
 - [Differentiate analytics from data platform work. They are two different jobs, and expecting one to do the work of the other is a trap](https://twitter.com/jamesdensmore/status/1518998298111225857).
   - Data Platform: data infra, pipelines, and a bit of data warehouse modeling
   - Analytics: Making sense of data to guide decisions
-- Make your [modeling technique](https://data-columns.hightouch.io/untitled-2/) explicit.
+- Make your [modeling technique](hhttps://web.archive.org/web/20230925091656/https://data-columns.hightouch.io/untitled-2/) explicit.
 - Have a documentation [entry-point for Data](https://github.com/mozilla/data-docs).
 - [For self-serve, aim to own as little as possible but keep in mind you can't make people do what you want but can stop them for doing what you don't want](https://youtu.be/wyW6hQGZxgY)
   - [You need to make a grocery store. You can't give folks directions to the farm to pick their own produce](https://twitter.com/teej_m/status/1603205457992044545).

Datathons.md

@@ -49,7 +49,7 @@
 - [Fold](https://github.com/dream-faster/fold)
 - [Neural Prophet](https://neuralprophet.com/) or [TimesFM](https://github.com/google-research/timesfm)
 - [Darts](https://github.com/unit8co/darts)
-- [Functime](https://docs.functime.ai/forecasting/)
+- [Functime](https://docs.functime.ai/)
 - [Pytimetk](https://github.com/business-science/pytimetk)
 - [Sktime](https://github.com/alan-turing-institute/sktime) / [Aeon](https://github.com/aeon-toolkit/aeon)
 - [Awesome Collection](https://github.com/MaxBenChrist/awesome_time_series_in_python)

Decentralized Web.md

@@ -12,7 +12,7 @@
 ## Resources
 
 - [The Complete Guide to Full Stack Web3 Development](https://dev.to/dabit3/the-complete-guide-to-full-stack-web3-development-4g74) and the [Web3 stack](https://edgeandnode.com/blog/defining-the-web3-stack).
-- [Kernel Community](https://kernel.community/en/learn/).
+- [Kernel Community](https://kernel.community/).
 - Decentralized friendly and open source alternatives:
   - [Trello](https://dework.xyz/)
   - [Notion](https://www.clarity.so/)
@@ -51,7 +51,7 @@ There is an emerging landscape of [Data and Blockchain](https://www.primodata.or
 - [Tokenflow](https://tokenflow.live/)
 - [Indexed.xyz](https://github.com/indexed-xyz)
 - [BitQuery](https://bitquery.io/) ([GitHub](https://github.com/bitquery/explorer))
-- [Coherent](https://coherent.xyz/) ([GitHub](https://github.com/coherentopensource))
+- [Coherent](https://coherent.xyz/)
 - [Covalent](https://www.covalenthq.com/) ([GitHub](https://github.com/covalenthq))
 - [Nansen](https://www.nansen.ai/)
 - [Footprint](https://www.footprint.network/) ([GitHub](https://github.com/footprintanalytics))
@@ -96,15 +96,13 @@ There is an emerging landscape of [Data and Blockchain](https://www.primodata.or
 - [Bounties Network](https://bounties.network/) - Find freelancers and bounty programs for any task paid in any token on Ethereum.
 - [Gitcoin](https://gitcoin.co/) - The easiest way to leverage the open source community to incentivize or monetize work.
 - [Inmunefy](https://immunefi.com/) - Web3's leading bug bounty platform, protecting $100 billion in user funds.
-- [DAOexchange](https://daoexchange.app/). Cross-DAO bounty board.
 - [OnlyDust](https://www.onlydust.xyz/). Contribute to innovative projects, refine your skills and create a lasting impact in the developer community.
 
 #### Analytic Bounties
 
 - [Dune](https://twitter.com/dune_bounties).
 - [Flipside](https://flipsidecrypto.xyz/).
 - [MetricsDAO](https://metricsdao.notion.site/metricsdao/Bounty-Programs-d4bac7f1908f412f8bf4ed349198e5fe).
-- [Unigrants Community Analytics](https://unigrants.notion.site/Unigrants-Community-Analytics-b09bbb16579d4a569b7e2d393afc4459)
 
 #### Data Engineering Folks
 

House.md

@@ -22,6 +22,4 @@
 
 ### Resources
 
-- [Mi Casa Modular](https://micasamodular.com/)
-  - [Related tweet with some extra resources](https://twitter.com/dsaltaren/status/1346173582959927296).
 - [La Casa Ese](https://lacasaese.com/).

IPFS.md

@@ -9,6 +9,7 @@
   - They provide Portability and Openness.
 - Keeping files available is a challenge. If the nodes storing a file go down, it'll disappear from the network.
   - Filecoin idea was to help with this adding incentives to the equation.
+- [Content addressing enables robust data integrity checks and efficient networking: systems can verify they received exactly what they asked for and avoid downloading the same content twice. The linked data part lets you link to stuff by its hash. You can build very big graphs with these primitives](https://dasl.ing/).
 
 ## [IPLD](https://ipld.io/)
 

Large Language Models.md

@@ -11,12 +11,7 @@
 
 ## Tools
 
-- [LangChain](https://python.langchain.com/en/latest/)
-- [Llama Index](https://github.com/jerryjliu/llama_index)
-- [Llama Hub](https://llamahub.ai/)
-- [Shell GPT](https://github.com/TheR1D/shell_gpt)
-- [Scapeghost](https://jamesturk.github.io/scrapeghost/)
-- [Kor](https://eyurtsev.github.io/kor/index.html)
+- [Curated GitHub Starts list](https://github.com/stars/davidgasquez/lists/robot-llms)
 
 ### FrontEnds
 

Learning.md

@@ -79,20 +79,18 @@
 - [Coursera](https://www.coursera.org/) - Online learning from the world's best universities and companies
 - [Explorable Explanations](https://explorabl.es/) - A hub for learning through play
 - [Explained Visually](http://setosa.io/ev/) -  Experiment in making hard ideas intuitive using visualizations
-- [No Excuse List](http://noexcuselist.com/) - The best place on the web to learn anything, free
 
 ### Computer Science
 
 - [Learn X in Y minutes](http://learnxinyminutes.com/) - Learn the basic of any language in Y minutes
 - [Exercism](http://exercism.io/) - Code practice and mentorship for everyone
 - [Visualizing Algorithms](http://bost.ocks.org/mike/algorithms/) - Cool visualizations of common algorithms used in Computer Science
 - [Google Developers Codelabs](https://codelabs.developers.google.com/) - Guided, tutorial, hands-on coding experience on Google Products.
-- [Google AI Hub](https://aihub.cloud.google.com/u/0/) - Learn, build and share notebooks, models, and other AI components.
 - [Katacoda](https://www.katacoda.com/) - Learn new technologies using real environments
 right in your browser.
 - [Hackr](http://hackr.io/) - Search for courses on any language, framework or [[Programming]] topic
 - Hardware
-  - [GPUBoss](http://gpuboss.com/) - Compare graphics cards head to head
+  - [UserBenchmark](https://gpu.userbenchmark.com/) - Compare GPUs
   - [PC Part Picker](https://pcpartpicker.com/) - Build guides, which cover systems for all use-cases and budgets, or create your own and share it with our community
   - [Logical Increments](http://www.logicalincrements.com/) - The PC builder's tier list
 
@@ -107,5 +105,4 @@ right in your browser.
 - Privacy
   - [Reddit r/privacy  Wiki](https://www.reddit.com/r/privacy/wiki/index) - Guide to becoming more secure online
   - [Privacy Tools](https://www.privacytools.io/) - Provides knowledge and tools to protect your privacy against global mass surveillance
-  - [Switching Social](https://switching.social/) - Ethical, easy-to-use and privacy-conscious alternatives to multiple tools
 - [Track Awesome List](https://www.trackawesomelist.com/). Track [awesome](https://github.com/sindresorhus/awesome) lists about all kinds of interesting topics.

News.md

@@ -15,7 +15,7 @@
 - [News programs are, with the exception of a few non-profit or publicly funded ones, commercial enterprises designed to turn and maximize profit](https://www.mrmoneymustache.com/2013/10/01/the-low-information-diet/).
   - The profit comes from advertising, and advertising revenue is maximized by pulling the largest audience, holding their attention for the longest possible time, and putting them into the mental state most conducive to purchasing the products of the advertisers (which turns out to be helplessness and vulnerability). This is why the news always starts out with a sensationalist take on a topic of at least plausible national interest, takes a detour into truly horrific and depressing irrelevant tragedies is one that unfortunately crossed my screen when doing research for this article, then ends on an uplifting note with something like a defiant entrepreneur or a caring soup kitchen. An emotional roller-coaster ride every day of the week. They don't explore solutions.
 - [There isn't enough actual news (ie events that are "new") to fill the standard news slot — so the fillers became pundits and commentators interpreting "news" and "potential news" for us](https://jjbeshara.com/2018/11/20/the-information-pathology-2/). Humans are good at finding efficiencies, and potential events far outweigh the number of past events, and potential negative events captivate our attention better than potential positive events, so these news-cycles naturally became dominated by commentators interpreting any number of potential negative events.
-- [Progress happens too slowly to notice](https://www.collaborativefund.com/blog/lots-of-overnight-tragedies-no-overnight-miracles/), setbacks happen too fast to ignore. Bad things can happen fast, but almost all good things happen slowly. Even if the trendlines are improving, the feeling the news give is the opposite.
+- [Progress happens too slowly to notice](http://web.archive.org/web/20220629122132/https://www.collaborativefund.com/blog/lots-of-overnight-tragedies-no-overnight-miracles/), setbacks happen too fast to ignore. Bad things can happen fast, but almost all good things happen slowly. Even if the trendlines are improving, the feeling the news give is the opposite.
 - Online & mainstream media and social networking have become increasingly misleading as to the state of the world by focusing on ‘stories' and ‘events' rather than trends and averages. This is because as the global population increases and the scope of media increases, media's urge for narrative focuses on the most extreme outlier datapoints—but such datapoints are, at a global scale, deeply misleading as they are driven by unusual processes such as the mentally ill or hoaxers.
 - [Sturgeon's law](https://en.wikipedia.org/wiki/Sturgeon%27s_law): 90% of everything is crap. News are often "correct" on a basic level, but really more like "yes, but it's complicated" on a deeper level. If you've ever seen a surface-level description of something you know about at a deep level, and you realize how wrong it is, or at least how much nuance it's missing. Realize that it's like that with everything.
   - [On certain topics, it's good to remember that you're often being informed by the most delusional people](https://twitter.com/waitbutwhy/status/1436006304892559365).