MICHAELWEINBERG.ORG KEYWORD DENSITY CHECKER

Total words: 16507 | 2-word phrases: 4291 | 3-word phrases: 5259 | 4-word phrases: 5495

PAGE INFO

Title Try to keep the title under 60 characters (70 characters)
I put things here so they are on the internet – Michael Weinberg
Description Try to keep the meta description between 50 - 160 characters (9 characters)
Home Page
Keywords Meta keywords are not recommended anymore (15 characters)
home, home page
H1 H1 tag on the page (16 characters)
Michael Weinberg

ONE WORD PHRASES 1462 Words

# Keyword H1 Title Des Volume Position Suggest Frequency Density
1the26518.13%
2of22115.12%
3to19213.13%
4a15110.33%
5and1178.00%
6that1107.52%
7is946.43%
8for734.99%
9in724.92%
10open614.17%

TWO WORD PHRASES 4291 Words

# Keyword H1 Title Des Volume Position Suggest Frequency Density
1b? this481.12%
2of the451.05%
3model b?290.68%
4of a250.58%
5open source250.58%
6in the250.58%
7on a230.54%
8to the230.54%
9in a210.49%
10or a210.49%
11at the200.47%
12to be190.44%
13is a180.42%
14to train180.42%
15for a180.42%
16training data170.40%
17training data?170.40%
18to a160.37%
19at a160.37%
20on the150.35%

THREE WORD PHRASES 5259 Words

# Keyword H1 Title Des Volume Position Suggest Frequency Density
1used to train110.21%
2as part of90.17%
3open source hardware90.17%
4the context of70.13%
5in the context70.13%
6part of the60.11%
7all of the60.11%
8open source software50.10%
9to train a50.10%
10the training data50.10%
11of open source50.10%
12a number of50.10%
13you cannot use40.08%
14the simple model40.08%
15federally funded research40.08%
16ai training data40.08%
17a list of40.08%
18definition of open40.08%
19in ai models40.08%
20context of ai40.08%
21source by default40.08%
22when it comes40.08%
23it comes to40.08%
24open source by40.08%
25licensing deals between40.08%
26developed as part40.08%
27is there a40.08%
28ai training data?40.08%
29whether or not40.08%
30of the data40.08%

FOUR WORD PHRASES 5495 Words

# Keyword H1 Title Des Volume Position Suggest Frequency Density
1in the context of70.13%
2developed as part of40.07%
3the context of ai40.07%
4open source by default40.07%
5as part of the40.07%
6when it comes to40.07%
7deals between ai companies30.05%
8between ai companies and30.05%
9of open source hardware30.05%
10ai companies and large30.05%
11companies and large publishers30.05%
12hardware open source by30.05%
13data used to train30.05%
14hardware developed as part30.05%
15you used to train30.05%
16all of the data30.05%
17an easy way to30.05%
18licensing deals between ai30.05%
19the simple model of20.04%
20simple model of how20.04%
21you cannot use content20.04%
22cannot use content in20.04%
23a roadmap for lawsuits?20.04%
24funded hardware open source20.04%
25use content in a20.04%
26may undermine the fair20.04%
27ai and machine learning20.04%
28of ai and machine20.04%
29context of ai and20.04%
30under a creative commons20.04%
31undermine the fair use20.04%
32to federally funded research20.04%
33everyone who created data20.04%
34to patent their hardware20.04%
35intend to patent their20.04%
36by fair use i20.04%
37a roadmap for lawsuits20.04%
38should establish a default20.04%
39the data they used20.04%
40is there a coherent20.04%

EXTERNAL LINKS

# URL Whois Check
1http://whatbrowser.org/ Whoiswhatbrowser.org
2https://mastodon.social/@mweinberg Whoismastodon.social
3https://linkedin.com/in/weinbergmichael Whoislinkedin.com
4https://github.com/MWWeinberg Whoisgithub.com
5https://twitter.com/MWeinberg2D Whoistwitter.com
6https://knowingmachines.org/knowing-legal-machines/legal-explainer/cases/getty-images-v-stability-ai Whoisknowingmachines.org
7https://knowingmachines.org/knowing-legal-machines/legal-explainer/cases/concord-v-anthropic Whoisknowingmachines.org
8https://www.wsj.com/business/media/openai-news-corp-strike-deal-23f186ba Whoiswsj.com
9https://www.theverge.com/2024/5/29/24167072/openai-content-copyright-vox-media-the-atlantic Whoistheverge.com
10https://www.axios.com/2024/06/27/openai-time-licensing-deal-chatgpt Whoisaxios.com
11https://knowingmachines.org/knowing-legal-machines/legal-explainer/questions/can-gen-ai-companies-train-their-systems-on-things-i-made Whoisknowingmachines.org
12https://fairuse.stanford.edu/overview/fair-use/four-factors/ Whoisstanford.edu
13https://www.metmuseum.org/art/collection/search/334037 Whoismetmuseum.org
14https://creativecommons.org/licenses/by/4.0/ Whoiscreativecommons.org
15https://opensource.org/license/mit Whoisopensource.org
16https://knowingmachines.org/knowing-legal-machines/legal-explainer/questions/can-gen-ai-companies-train-their-systems-on-things-i-made Whoisknowingmachines.org
17https://commoncrawl.org/ Whoiscommoncrawl.org
18https://laion.ai/blog/laion-400-open-dataset/ Whoislaion.ai
19https://hai.stanford.edu/news/quantifying-value-data Whoisstanford.edu
20http://ai.stanford.edu/~kzliu/blog/unlearning Whoisstanford.edu
21https://creativecommons.org/licenses/by/4.0/deed.en#ref-appropriate-credit Whoiscreativecommons.org
22https://wiki.creativecommons.org/wiki/Recommended_practices_for_attribution Whoiscreativecommons.org
23https://openfuture.eu/publication/alignment-assembly-on-ai-and-the-commons-outcomes-and-learnings/ Whoisopenfuture.eu
24https://knowingmachines.org/models-all-the-way Whoisknowingmachines.org
25https://llama.meta.com/ Whoismeta.com
26https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/ Whoisnvidia.com
27https://openai.com/index/gpt-4/ Whoisopenai.com
28https://openai.com/index/gpt-4-research/ Whoisopenai.com
29https://katedowninglaw.com/2022/11/28/is-open-source-attribution-dead/ Whoiskatedowninglaw.com
30https://www.theverge.com/23642073/best-printer-2023-brother-laser-wi-fi-its-fine Whoistheverge.com
31https://mastodon.social/deck/@[email protected]/112792571975368417 Whoismastodon.social
32https://www.gnu.org/licenses/old-licenses/gpl-1.0.en.html Whoisgnu.org
33https://github.com/qbittorrent/qBittorrent/issues/7749 Whoisgithub.com
34https://lu.is/2016/09/copyleft-and-data-database-law-as-poor-platform/ Whoislu.is
35https://lu.is/2016/09/copyleft-and-data-databases-as-poor-subject/ Whoislu.is
36https://lu.is/2016/09/copyleft-attribution-and-data-other-considerations/ Whoislu.is
37https://lu.is/2016/09/public-licenses-and-data-so-what-to-do-instead/ Whoislu.is
38https://www.metmuseum.org/art/collection/search/392777 Whoismetmuseum.org
39https://knowingmachines.org/knowing-legal-machines/legal-explainer Whoisknowingmachines.org
40https://source.plus/?size=n_100_n Whoissource.plus
41https://openfuture.eu/note/source-plus-an-image-commons-for-generative-ai/ Whoisopenfuture.eu
42https://spawning.ai/ Whoisspawning.ai
43https://knowingmachines.org/models-all-the-way Whoisknowingmachines.org
44https://source.plus/item/0cac250e74a5a008db172907ebc8e2db-8f39d178e94c72a2?size=n_100_n Whoissource.plus
45https://commons.wikimedia.org/wiki/File:Pexels-pixabay-159775.jpg Whoiswikimedia.org
46https://commons.wikimedia.org/wiki/User:Philipslearning Whoiswikimedia.org
47https://pixabay.com/es/photos/biblioteca-la-trobe-estudiar-1400313/ Whoispixabay.com
48https://pixabay.com/es/service/license-summary/ Whoispixabay.com
49https://en.wikipedia.org/wiki/Pixabay Whoiswikipedia.org
50https://pixabay.com/es/service/terms/ Whoispixabay.com
51https://pixabay.com/es/photos/biblioteca-la-trobe-estudiar-1400313/ Whoispixabay.com
52https://commons.wikimedia.org/wiki/File:Pexels-pixabay-159775.jpg Whoiswikimedia.org
53https://www.curationist.org/works/work-rijks-NL-AsdRM-lido-634290 Whoiscurationist.org
54https://fas.org Whoisfas.org
55https://www.cos.io/ Whoiscos.io
56https://www.wilsoncenter.org/program/science-and-technology-innovation-program Whoiswilsoncenter.org
57https://fas.org/accelerator/open-science/ Whoisfas.org
58https://fas.org/publication/open-source-hardware/ Whoisfas.org
59https://www.whitehouse.gov/wp-content/uploads/2022/08/08-2022-OSTP-Public-Access-Memo.pdf Whoiswhitehouse.gov
60https://www.whitehouse.gov/wp-content/uploads/2023/11/Open-Access-Publishing-of-Scientific-Research.pdf Whoiswhitehouse.gov
61https://www.si.edu/object/andrew-carnegie:npg_S_NPG.75.2 Whoissi.edu
62https://www.ntia.gov/federal-register-notice/2024/dual-use-foundation-artificial-intelligence-models-widely-available Whoisntia.gov
63https://opensource.org/licenses Whoisopensource.org
64https://creativecommons.org/licenses/list.en Whoiscreativecommons.org
65https://www.si.edu/object/physical-examination:saam_1965.18.60 Whoissi.edu
66http://creativecommons.org/licenses/by-sa/4.0/ Whoiscreativecommons.org
67http://creativecommons.org/licenses/by-sa/4.0/ Whoiscreativecommons.org