goliah0

[goliah0]

It's also on YouTube for rent or buy!

EVERYONE!!!

BECOMING LED ZEPPELIN IS NOW AVAILABLE TO BUY OR RENT ON PRIME VIDEO

I REPEAT.

BECOMING LED ZEPPELIN IS NOW AVAILABLE TO BUY OR RENT ON PRIME VIDEO!!!!

yay!!! 🤗🤗🤗

[goliah0]

Lol

THIS REVIEW FROM BECOMING LED ZEPPELIN 😭

[goliah0]

Ok I love it.

*******Major spoiler alert (does a documentary need this?)********

Do I wish there are more live footages resurfacing in the movie? For sure. Do I hope the movie covers more Zeppelin's journey after 1970? Absolutely. But I love what we got. The fresh, raw, young people who were inspiring and inspired, so in love with music and their dynamics, the unbashful heroes of the story. The three old man walking down the memory lane reliving the years with the audience, listening to the interview recording of an old friend and smiling. Just beautiful.

Jimmy is still very obsessed and particular with his narratives and knows every single details. The joy in his eyes when he saw the Bath footage and said this was the first time I saw the motions of our earliest performance in England. John Paul's dry humor and his dad, his dad was everywhere in his interview lol "I thought we would get a really cool singer and then met this maniac with crazy vocal and range" "I didn't think anybody would remember the band name 'Led Zeppelin' but I couldn't come up with a better one so whatever". Robert with the tinkles in his eyes and made the audience laugh every time, how Bonzo was so young and alive in his stories, how he pointed at the first two lines of the lyrics of Ramble On and said this is the story of my life.

And Bonzo, the major narrator of the documentary, because he lived the moments and is still living the moments, forever there in the 70s. His interview recording connects the whole story together and I'm so in love with the last scene in which Jimmy, John Paul and Robert sat there and listened to Bonzo narrating their younger years, Robert with unshed tears in his eyes.

And it ended at the glorious moment of their lives, making the piece purely happy and nostalgic without any of the darkness later on. Fits the topic pretty well, if anyone wants to make a follow up documentary, just for the sake of cheekiness, please name it Unbecoming Led Zeppelin. I would watch it.

[goliah0]

I fucking love this stupid band 😭😭

[goliah0]

Can't wait to see it in theater...

THERE SHE IS!!!!!!

ONLY FITTING TO HAVE THIS ABSOLUTE QUEEN THERE!!

[goliah0]

Nothing better than putting on some Elvis in the cottage with some wine and food while your car is stuck in the snow storm outside (rescue attempts failed, lol)

[goliah0]

I keep seeing people responding to the executive order Trump signed defining biological sex as being fixed at conception, and everyone's making the same joke that it means all Americans are women now because all embryos develop as female at first (hence male nipples).

However, since the order declared biological sex to be based on what gametes (sex cells i.e. sperm or egg) one produces, then that obviously means that no one has a biological sex since no one produces gametes at conception. Congrats Trump! Everyone's non-binary now.

[goliah0]

Robert Plant sings “Going to California” at Earl’s Court, 1975. [x]

[goliah0]

WTF America? WHAT THE FUCK????? Good luck.

Best regards,

A Canadian

[goliah0]

Those awkward body languages after all these years being a celebrity is endearing

You can’t really do it without Robert..

[goliah0]

I saw something about generative AI on JSTOR. Can you confirm whether you really are implementing it and explain why? I’m pretty sure most of your userbase hates AI.

A generative AI/machine learning research tool on JSTOR is currently in beta, meaning that it's not fully integrated into the platform. This is an opportunity to determine how this technology may be helpful in parsing through dense academic texts to make them more accessible and gauge their relevancy.

To JSTOR, this is primarily a learning experience. We're looking at how beta users are engaging with the tool and the results that the tool is producing to get a sense of its place in academia.

In order to understand what we're doing a bit more, it may help to take a look at what the tool actually does. From a recent blog post:

Content evaluation

Problem: Traditionally, researchers rely on metadata, abstracts, and the first few pages of an article to evaluate its relevance to their work. In humanities and social sciences scholarship, which makes up the majority of JSTOR’s content, many items lack abstracts, meaning scholars in these areas (who in turn are our core cohort of users) have one less option for efficient evaluation. 

When using a traditional keyword search in a scholarly database, a query might return thousands of articles that a user needs significant time and considerable skill to wade through, simply to ascertain which might in fact be relevant to what they’re looking for, before beginning their search in earnest.

Solution: We’ve introduced two capabilities to help make evaluation more efficient, with the aim of opening the researcher’s time for deeper reading and analysis:

Summarize, which appears in the tool interface as “What is this text about,” provides users with concise descriptions of key document points. On the back-end, we’ve optimized the Large Language Model (LLM) prompt for a concise but thorough response, taking on the task of prompt engineering for the user by providing advanced direction to:

Extract the background, purpose, and motivations of the text provided.

Capture the intent of the author without drawing conclusions.

Limit the response to a short paragraph to provide the most important ideas presented in the text.

Search term context is automatically generated as soon as a user opens a text from search results, and provides information on how that text relates to the search terms the user has used. Whereas the summary allows the user to quickly assess what the item is about, this feature takes evaluation to the next level by automatically telling the user how the item is related to their search query, streamlining the evaluation process.

Discovering new paths for exploration

Problem: Once a researcher has discovered content of value to their work, it’s not always easy to know where to go from there. While JSTOR provides some resources, including a “Cited by” list as well as related texts and images, these pathways are limited in scope and not available for all texts. Especially for novice researchers, or those just getting started on a new project or exploring a novel area of literature, it can be needlessly difficult and frustrating to gain traction. 

Solution: Two capabilities make further exploration less cumbersome, paving a smoother path for researchers to follow a line of inquiry:

Recommended topics are designed to assist users, particularly those who may be less familiar with certain concepts, by helping them identify additional search terms or refine and narrow their existing searches. This feature generates a list of up to 10 potential related search queries based on the document’s content. Researchers can simply click to run these searches.

Related content empowers users in two significant ways. First, it aids in quickly assessing the relevance of the current item by presenting a list of up to 10 conceptually similar items on JSTOR. This allows users to gauge the document’s helpfulness based on its relation to other relevant content. Second, this feature provides a pathway to more content, especially materials that may not have surfaced in the initial search. By generating a list of related items, complete with metadata and direct links, users can extend their research journey, uncovering additional sources that align with their interests and questions.

Supporting comprehension

Problem: You think you have found something that could be helpful for your work. It’s time to settle in and read the full document… working through the details, making sure they make sense, figuring out how they fit into your thesis, etc. This all takes time and can be tedious, especially when working through many items. 

Solution: To help ensure that users find high quality items, the tool incorporates a conversational element that allows users to query specific points of interest. This functionality, reminiscent of CTRL+F but for concepts, offers a quicker alternative to reading through lengthy documents. 

By asking questions that can be answered by the text, users receive responses only if the information is present. The conversational interface adds an accessibility layer as well, making the tool more user-friendly and tailored to the diverse needs of the JSTOR user community.

Credibility and source transparency

We knew that, for an AI-powered tool to truly address user problems, it would need to be held to extremely high standards of credibility and transparency. On the credibility side, JSTOR’s AI tool uses only the content of the item being viewed to generate answers to questions, effectively reducing hallucinations and misinformation. 

On the transparency front, responses include inline references that highlight the specific snippet of text used, along with a link to the source page. This makes it clear to the user where the response came from (and that it is a credible source) and also helps them find the most relevant parts of the text. 

[goliah0]

Robert: I wonder if plants have feelings. Like, what if when they see me, they feel a spiritual connection to me because I'm a plant? Can they understand when people talk to them? Do they answer back?

Jimmy: Robert, exactly how much weed have you smoked?

Robert:.....enough.

[goliah0]

Robert Plant’s gender neutral love song “Rainbow” was released during pride month the same year gay marriage was legalized in England which could mean nothing

[goliah0]

[goliah0]

[goliah0]

[goliah0]

i can’t fix him. but i would like to suck his dick.