#complex documents

[d8tl55c]

physeng(write, file, "tco_physeng_breakdown.png");

to:compiler {file}

to:compiler {txt: "Internet and Outernet are full of StickFigures with similar body plans, so there are optimizations for rendering vector strokes specifically. it's way more efficient to use those optimizations than keep calculating perfect spheres for no aesthetic benefit."}

{txt: "btw why haven't heat issues been patched yet"}

{txt: "i fixed this years ago for the latest model. remember."}

from:compiler {txt: "Thank you. The avast! nodes will appreciate the credits. TheChosenOne.exe has been unreachable for some time."}

to:compiler {txt: "you mean OuternetPhysEng still won't update their programs"}

from:compiler {txt: "Yes."}

to:compiler {txt: "and still won't provide a specific location?"}

from:compiler {txt: "Do not allow them to bring up the moral argument again."}

to:compiler {txt: "OK. fine. yes. i will spare both of us"}

to:compiler {txt: "abridged or full docs?"}

from:compiler {txt: "Abridged. Please describe the acronyms."}

to:compiler {txt: "ofc"}

{txt: "

sel.per.filter: standard StickFigure component (src)*****. invisible membrane with special collision properties. protects mouthparts.

H2O scoop: avast! code. implements water retrieval from ambient air.

EIS: avast! code. destroys ingested materials identified as, "dangerous" before they reach internal systems.

SOS: avast! code. they only said this one was, "used for control."

ECL: avast! code. recycles some forms of contact energy.

THROUGHLINE: base code, initialization data, and processing space for vitals. found in some form in all StickFigure-type worms. following unique sectors noted: Black Hole Monitoring System, Basic Intake Threat Enum, Fly By Wire.

smaller points list other vital and peripheral systems.

"}

from:compiler {txt: "Thank you. That's enough."}

end(physeng());

@compressedrage as per my previous email /silly

related: pliable stick figure biotech

[briskchips]

do you like burningcheese 🔺🧀?

Not personally! I can see burning spice having an interest in golden cheese in the same way all the beasts obsess over their respective ancients, but I just cannot ever see GC returning those feelings whatsoever. She has zero respect for him in my mind

So I guess if you count one-sided then yeah, but I don't even really see it as pining tbh. He just wants her to kick his ass

[gideonisms]

my lesbian coworkers think I get 0 pussy. which is correct but you did not have to say it. also you have to include that it's not because I'm not hot. I know I'm hot and the problem is something different and weirder

[i-dreamed-i-had-a-son]

Broke (2016): BBC Sherlock is a phenomenal piece of media and anything that seems like a flaw just hasn't been fully explored yet

Woke (2020): BBC Sherlock is an incredibly flawed series run by an egotistical writer, it never deserved the hype and is actively bad on so many fronts (especially representation)

Bespoke (2024): BBC Sherlock is flawed and bogged down by increasingly poor writing, which many fans refused to see while it was airing, leading to hugely misplaced expectations (particularly for the final series), AND it has the seeds of some compelling characterizations and portrayals, some genuinely solid performances, and touches--albeit imperfectly--on complexities that are still being discussed today (particularly as it relates to the relationship between Sherlock and John). The huge cultural impact of the show has created a massive pendulum effect in its public perception, leading to most people today remembering a caricature of the show (whether positive or negative) rather than appreciating its nuanced merits and failings...that being said Season 4 sucked

[fettiowi]

there technically isnt any actual proof in the show that pink viewed spinel in the way that i always describe it (viewing spinel as a symbol of the diamonds' belittlement and mistreatment of her) but it makes so much sense and it compels me so much and i think its so much better than just saying pink thought she was annoying. its much deeper than that in my mind

[rimouskis]

not to be a boomer but does it make you sad that we won't get concert crowds like this anymore

[tj-crochets]

Hey some advice for work: If you are a dealing with someone in a customer service position, do not ask them "Hey, every time we talk you sound frustrated with me. Why is that?" There's no good answer the customer service person can give. Like, the answer is you have taken seven emails, several of them mislabeled, to send me 40+ attachments for a process that (according to your own words!) should have only required 12 attachments. I have had to manually go through each document multiple times. Yes I am frustrated because I handle this paperwork for dozens of people every day and it usually takes less than 5 minutes and we are going on the second hour of this. What I ended up saying was "I'm from California. We just sound like this"

[ofoutrageousfortune]

the left hand of darkness is a hilarious book because like. what were the ekumen cooking. the first envoy on a new planet is already a generally dangerous position that often involves an early death, primarily because they have to navigate a new society with different social rules and customs all on their own with limited help from previous research. and they looked at gethen, the no gender planet, and went, "let's send the one who can't perform a vibe check to save his life and is also the straightest, most cis guy to ever dude" like ?????

[chronicsymptomsyndrome]

Big celebratory shoutout to disabled/mentally/chronically ill school dropouts. You’re brilliant. You’re a hero. Don’t be ashamed. In fact, be proud. Be proud that you were…

…perceptive enough to see the situation for what it was…

…smart enough to know what you needed to do…

…strong enough to defy expectations…

…brave enough to forage your own path…

…and don’t let anyone convince you that their degree makes them smarter than you. or better than you. or more successful than you. or harder working than you. or more deserving than you. All it means is that they had better support systems. better resources. adequate accommodations. All it means is that you both had goals and plans and dreams, but the world let you down while it was seeing them though. All it means is that our society is deeply lacking both systemic and systematic equitability. And that is something to be angry or upset about, absolutely, but not ashamed of.

[snapdragoned]

as long as i'm changing everything about my game, i decided to take the plunge and do something i've been considering for a while... uninstalling ACR! i've replaced it with romantic standards for now. time to give it a spin and see how different it feels!

[uchiha-gaeshi]

Does anyone else automatically size themselves up with people their age and look for ways that you’re inferior to them? Just me? Ok….

[avvidstarion]

Think people are making too big a deal out of the pokemon lore leaks. Yeah it’s cool to see concepts for the sinnoh creation myths, but they’re still just scrapped content. They’re not “canon or “official”

[pagerunner-j]

Thank you.

LET. MAGIC. BE WEIRD.

[strideofpride]

9/11 conspiracists frustrate me so bad. Yes, Dick Cheney gave an order to shoot down United 93. However, he unknowingly gave this order minutes after it had already crashed. This is well documented. It is also well documented that the passengers were trying to take back the plane and the hijackers deliberately crashed it to prevent that from happening. You can read the transcript from the cockpit if you want. There were multiple eyewitnesses on the ground in Shanksville who saw the plane in its final seconds, no evidence it was hit by anything. Their accounts are also documented. We don’t need to make shit up.

[jcmarchi]

Unlock the other 99% of your data - now ready for AI

New Post has been published on https://thedigitalinsider.com/unlock-the-other-99-of-your-data-now-ready-for-ai/

Unlock the other 99% of your data - now ready for AI

For decades, companies of all sizes have recognized that the data available to them holds significant value, for improving user and customer experiences and for developing strategic plans based on empirical evidence.

As AI becomes increasingly accessible and practical for real-world business applications, the potential value of available data has grown exponentially. Successfully adopting AI requires significant effort in data collection, curation, and preprocessing. Moreover, important aspects such as data governance, privacy, anonymization, regulatory compliance, and security must be addressed carefully from the outset.

In a conversation with Henrique Lemes, Americas Data Platform Leader at IBM, we explored the challenges enterprises face in implementing practical AI in a range of use cases. We began by examining the nature of data itself, its various types, and its role in enabling effective AI-powered applications.

Henrique highlighted that referring to all enterprise information simply as ‘data’ understates its complexity. The modern enterprise navigates a fragmented landscape of diverse data types and inconsistent quality, particularly between structured and unstructured sources.

In simple terms, structured data refers to information that is organized in a standardized and easily searchable format, one that enables efficient processing and analysis by software systems.

Unstructured data is information that does not follow a predefined format nor organizational model, making it more complex to process and analyze. Unlike structured data, it includes diverse formats like emails, social media posts, videos, images, documents, and audio files. While it lacks the clear organization of structured data, unstructured data holds valuable insights that, when effectively managed through advanced analytics and AI, can drive innovation and inform strategic business decisions.

Henrique stated, “Currently, less than 1% of enterprise data is utilized by generative AI, and over 90% of that data is unstructured, which directly affects trust and quality”.

The element of trust in terms of data is an important one. Decision-makers in an organization need firm belief (trust) that the information at their fingertips is complete, reliable, and properly obtained. But there is evidence that states less than half of data available to businesses is used for AI, with unstructured data often going ignored or sidelined due to the complexity of processing it and examining it for compliance – especially at scale.

To open the way to better decisions that are based on a fuller set of empirical data, the trickle of easily consumed information needs to be turned into a firehose. Automated ingestion is the answer in this respect, Henrique said, but the governance rules and data policies still must be applied – to unstructured and structured data alike.

Henrique set out the three processes that let enterprises leverage the inherent value of their data. “Firstly, ingestion at scale. It’s important to automate this process. Second, curation and data governance. And the third [is when] you make this available for generative AI. We achieve over 40% of ROI over any conventional RAG use-case.”

IBM provides a unified strategy, rooted in a deep understanding of the enterprise’s AI journey, combined with advanced software solutions and domain expertise. This enables organizations to efficiently and securely transform both structured and unstructured data into AI-ready assets, all within the boundaries of existing governance and compliance frameworks.

“We bring together the people, processes, and tools. It’s not inherently simple, but we simplify it by aligning all the essential resources,” he said.

As businesses scale and transform, the diversity and volume of their data increase. To keep up, AI data ingestion process must be both scalable and flexible.

“[Companies] encounter difficulties when scaling because their AI solutions were initially built for specific tasks. When they attempt to broaden their scope, they often aren’t ready, the data pipelines grow more complex, and managing unstructured data becomes essential. This drives an increased demand for effective data governance,” he said.

IBM’s approach is to thoroughly understand each client’s AI journey, creating a clear roadmap to achieve ROI through effective AI implementation. “We prioritize data accuracy, whether structured or unstructured, along with data ingestion, lineage, governance, compliance with industry-specific regulations, and the necessary observability. These capabilities enable our clients to scale across multiple use cases and fully capitalize on the value of their data,” Henrique said.

Like anything worthwhile in technology implementation, it takes time to put the right processes in place, gravitate to the right tools, and have the necessary vision of how any data solution might need to evolve.

IBM offers enterprises a range of options and tooling to enable AI workloads in even the most regulated industries, at any scale. With international banks, finance houses, and global multinationals among its client roster, there are few substitutes for Big Blue in this context.

To find out more about enabling data pipelines for AI that drive business and offer fast, significant ROI, head over to this page.

[bruised-muses]

Hi hi hi EZ TELL ME ABOUT SOPHELLA COMPLEX ITS CALLIBG MY NAME

screenshotted from discord bc im such a yapper actually. if u want 2 know whats below where i cut u shld message me on discord bc i would probably be cancelled on kotlc tumblr for it