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mrsiggytheimp · 9 months

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Theory Time:

•Gisela goes to Cyrah wanting the white starstone that goes to Elysian, Cyrah gives it to Biana previously because she didn’t think it would be safe elsewhere. Cyrah doesn’t know where it leads. • Ig Gisela orders Cyrah killed when she doesn’t give the Neverseen the starstone? •it doesn’t explain how Cyrah has the starstone, I don’t think, but probably has it from Prentice. Maybe Prentice told her the location of Elysian before. But how would he know?

•I think he knows because in Exile in chapter 27 when Sophie goes into Prentice’s mind when she and Aldan were in Exile for Fintan’s memory break, it described “butterflies with bright red lips” in the weird nonsense of the broken mind. It could be easily assumed that it’s just the rest of the confusion from the broken mind, and doesn’t mean anything. •But when we’re looking through Kenrics Cache, there are the butterflies “kissed with red” in the Elysian place. •in Stellarlune page 249 is says the they thought prentice calling swan song had something to do with the load star symbol, and followed up by saying that it didn’t make sense. • So I think Prentice got there, maybe transmitted the description to Kenric, and then had to call Swan Song when he got back for some reason.

•Because he agreed to be Kenrics keeper as proposed by Kenric when they’re looking through his cache. Maybe. • Summery: So Kenric somehow discovers the idea of Elysian, and gets Prentice to help him after looking into it with Ora and Fintan a bit. Prentice gets there, tells Cyrah and Kenric where it is, gives Kenric a description, goes back and Calls swan song because of Elysian for some reason, (Apparently not because the memory break was ordered? When was that ruled out?) and then gets tossed into Exile, and Cyrah gives the starstone to Biana, and Sophie, Fitz, Keefe, Maruca, Marella, and Vespera take it to Stellarlune.

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katherinebotten · 1 month

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Show text by Noah Renolds:

I look up at a television mounted to the wall. The presenter stands in the middle of a green marsh overlooking a beach. She wears black rubber boots. This looks like an old broadcast, the BBC logo hangs in the corner. Beside her is a row of trenches filled with water. Someone has dug them out to look like graves. The presenter is talking to an old man wrapped in a woollen overcoat. I read the auto-generated subtitles in big green text. They have lived the same way for generations, he explains. His father taught him how to farm this land the same way people have farmed here for hundreds of years. The water levels have been changing and their crops have been failing. Neighbouring villages use modern irrigation methods to manage water levels. Trenches and pumps channel the water back out to sea. The old man explains, their beliefs do not allow them to use non-traditional farming techniques. He recalls that many of the villagers and their families have left to find work in neighbouring towns. This goes against their faith, which is to stay with the land, so the villagers who leave have been excommunicated by the few families who remain. We have chosen to be figures within the landscape rather than the figures who change it, he proclaims.

A procession descend upon the trenches. A young woman steps into a trench. She lowers herself into the water up to her shoulders. Her shawl traps an air pocket and balloons around her in the water. Her cheeks are red. She is shaking. It looks cold, I think. Some villagers kneel and help lower her beneath the water. It reminds me of those American baptisms where they dunk people in a river. The young woman scrunches her face and opens her mouth. Her body begins to convulse. A few moments later she stops. I notice her cheeks are no longer red. One by one the other villagers enter their trenches. A teenage boy closes his eyes and pinches his nose. A stream of bubbles emerge as he sinks beneath the surface of the water. I can see him holding his nose underwater. For a moment it looks like he’s about to get up, his head jolts forward, then his hand floats away from his face. He stops moving. The old man holds each side of the trench as he lowers his face underwater. He opens his eyes and takes a gulp of water. His skin turns pale, then blue, then grey. His features disappear. He is a big grey boulder. There is some commotion. The presenter calls the camera back to the young woman’s trench. There is a large grey boulder in the water where her body had been moments before. As the camera tracks across each trench, grey boulders lie where the bodies used to be. The whole wetlands are scattered with grey boulders. I wonder if this will make it harder to farm the land.

#katherine botten #noah renolds #cache #peter corrigan

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petra-creat0r · 1 year

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addison lore? I cannot find any thing about their relationship or backstory or junk? Seems like a lots going on and I wanna know

OHOHOHOHOH THIS IS GONNA BE FUN!

Okay, the little bit I have got on them I put on their AddiName polls back when I was coming up with their names. So, let me go grab those real quick but we're gonna also get into some other stuff about them too. Banner (Blue), Cache (Orange), Click (Pink), Flash (Yellow)

Whenever I think about the Addisons, my head canons end up coming from the HotSpots (aka Chicago's friends who mirror them). This is only because I thought of the 'Spots first, and based them off any loose head canons I had of the canon Ads. My brain is weird, I admit this!

So, I've already mentioned the age order I see them in. Which, ironically, ended up being a complete coincidence that it also lined up with the HotSpots, though I can guess because I likely used the same method when figuring out age order, which was searching up "when did x advertising thing become a thing." Technically speaking, with that method I also should've had Spamton be the oldest (first spam email sent in 1978 while first ad banner was 1994) but I wanted him to be the youngest. But! Just to refresh, Banner is the oldest while Flash and Spam are the youngest! Cache is the second oldest and Click is right in the middle! However generally, they're all around the same age, and I don't see any of them being related.

I already mentioned some stuff about them as individuals/how their Addison types work, so lets focus a bit more on relationships! Which I only skimmed in the previous posts, mostly focusing on their feelings towards Spamton. (But also we're still gonna get into a bit more of the individuals because I feel it's a little necessary)

So! Starting with Banner, I've mentioned previously how Banner is often the most responsible and level headed of the group, and sees himself as some what of the older brother of the group/responsible for everyone else. Though, ironically, doesn't tend to be the one to clear up arguments, instead is often instigating them by arguing with Flash for slacking off or something. To Banner, Flash is like an annoying younger sibling who never listens to what he's supposed to do, and is just a bit more energetic than Banner would like. In the past, Banner often found it bothersome how much Flash would be a bad influence towards Spamton, with the two often doing reckless and stupid shit together and getting in trouble. You know that comic I posted earlier? Banner would believe it was mostly Flash's fault. (It wasn't. Spam was the one who caused the two to start getting chased.)

When it comes to Banner's relationship with Cache and Click? Eh, it's sorta so so. Banner often works with Cache as they both advertise fashion, though now I have the idea of Cache getting annoyed at Banner for either trying to eat some of Cache's work, or sell it as something edible. That may work for Banner's shoes and stuff, but Cache is very much of the mindset that her fashion is art, not food. As for Banner and Click, they don't really have that much of a relationship outside of work now a days but I have a sense that back before all the Big Shot drama stuff with Spam, they hung out. Likely talked over tea and stuff. As of right now, I don't imagine Banner really with anyone (If I'm being honest, the only Addisons I ship are Click and Spam, with maaaaaybe Cache and Flash being a thing at some point), but I do imagine Click teasing or getting on the Banner's back about relationships (which he probably does for a lot of people. I mean, Click's a pink addison! It's what they do!) ... Okay maybe now that I think about it, I may have some ideas for relationships with Banner, but they aren't within the main Addigroup.

Next up is Cache! The second oldest the one who takes their job seriously to a fault. Banner might be the most responsible, but Cache is the most hard working, to the point he over works himself. She didn't always, mostly because Flash would always find some way to ensure she didn't, though after Spam left... Well, you know. Asides from being a workaholic though, Cache is very fashionable and a bit eccentric. They always love trying out new things with their fashion lines and if you get them started on whatever they're working on, they likely will not stop, and will actually likely talk their way into making something for you. Now a days, I feel he doesn't like others modeling for him though, preferring to stick with his mannequins, but there was a time when Spamton was his favorite model/one of the only people she'd get to model her work.

Asides from that, I mentioned a bit of Cache and Flash's relationship previously, and the more that I think about it, the more I find them an adorable couple. If not currently, then definitely they were dating at some point. For the other Addison's though, I mentioned Banner and Cache's relationship. To this day, they refuse to ever dabble in any edible clothing, maybe out of respect for Banner, maybe out of annoyance for Banner continuing to try and eat her clothes. Likely the latter. (Idk why I'm latching onto that so much. Idk, just, no one talks about the Blue Addison in game with their edible shoe samples and telling you to try a bit of some clothes on a mannequin in Castle Town. It's very funny, it has potential.)

As for Cache and Click? I feel they have a bit of a rivalry? Like I think at times they're like the "I can't stand his fake ass. 10 minutes later me and the bestie" meme. Mostly though just... I wrote an interaction into a future chapter when we're more properly introduced to the Addisons, where Cache is just roasting Click while working on a design.

Anyways, speaking of Click! Let's talk about ol' Clicard. Click is the middle one and though he acts all nice and sweet with customers, the others know he's not as cut and dry as that. Click can honestly be a sassy little bitch and Banner, Cache and Flash are well of this. Click often finds herself being the mediator of arguments within the group (at least when she's not the one arguing) either just due to circumstance, or because there is a customer around and she's trying to save face. I find this incredibly ironic considering, hey, you know when Spamton became a Big Shot and the group kicked him out/sorta broke up? Yeah? Click instigated that. While none of them really liked Spamton's success, either being annoyed with how much he kept talking about it or being concerned about the phone, Click was absolutely bitter and jealous. He ended up calling Spam out on everything one day and fought broke out and Spamton left/was kicked out. To this day, none of them are over this, no matter how much Click defends that she feels nothing and has pushed everything down. For an Addison type attuned to emotions of customers, Click sure likes denying his own!

Speaking of denying feelings! I mentioned how Click will tease people about relationship stuff. She will do this with all of her friends, as well as give others pretty good relationship advice, however when it comes to Click's own relationships, yeah. Yeah he's terrible at that. This Addison does not know how to process her emotions. Like. Pretty much at all. This gets even more interesting when it comes to his feelings around Spamton. At the same time, bitter and jealous still from the Big Shot era, but also misses it, but also is kinda heart broken over everything, but also still has feelings for Spam. Just, one big ol mess of feelings. This makes when the Addisons and Spam finally reunite very interesting, but we won't get to that until Chapter 23. I'm still writing it.

What we will get to much, much sooner though is Chapter 12, set to release tomorrow morning. Where Chicago is going to meet the Addisons for the first time. I can't say much, but I just want to share this interesting tidbit from the Chapter which I find very interesting.

Yep. Just that.

Anyways, Click's relationships with the others. I've mentioned most the others already, but for Click and Flash? Click finds Flash to be an idiot. That's pretty much it.

Now last but not least, Flash! Second youngest and most energetic of the bunch! Back when Spamton was around, Flash was one of the closest to the littlest Addison, the two often getting into trouble, much to the other's dismay or annoyance. Now a days, Flash is just a little less energetic. Everything that happened hit them hard, and they're still trying to come to terms with it all like everyone else. Flash was the only one of the Addisons to ever go looking for Spamton after the eviction, though the fact he was never able to find his little buddy, led him into a bit of a depression. Cache pretty much being the only one to get them out of their slump and even back out advertising again.

As for Flash's relationship with Banner and Click? Flash finds a bit of enjoyment in annoying both of them, mostly Banner, but also he finds it funny when he can get Click mad. Most the time they're doing it in good fun, but there are also times when they don't know when to stop. Which can often cause problems.

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v-anrouge · 3 months

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ITS ALMOST DONE UPDATING BUT IT SAYS I DONT HAVE ENOUGHH STORAGE WHAT MORE DOES IT WANT FROM ME

TRY CLEANING THE THINGY FROM THE APPS U USE A LOT OF TIMES WE DONT REALIZE HOW MUCH SPACE THEY TAKE

#✎ ⇣‧₊˚ 【asks #ৎ୭ ⇣‧₊˚ 【stinks #♡ᭂ ⇣‧₊˚ 【 baritone's wife #CACHE

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mountrainiernps · 2 years

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Canada jay fall food storage

Some plants and animals at Mount Rainier National Park are just meant for mountains. The Canada Jay uses cold mountain temperatures to its advantage.

Adult Canada Jays are omnivores but their kids can be a bit more picky. Each spring the baby birds need a high calorie, high protein diet to grow big and strong. The best source of food for this is insects. Anyone who has visited the park in spring can tell you that you are more likely to find snow than bugs that time of year, so where do Canada Jays get the protein? Adult jays are actually out collecting those bugs right now. Throughout the fall these birds eat and regurgitate bug paste, hiding it under the bark of dead trees and in other cool dark crevices across the mountain. These food caches freeze over the winter and the jay returns in the spring to collect them for their young. If the food cache contains human food, thaws too early or thaws too often it can go rancid and the next generation of birds won’t get as strong of a start. For the Canada Jay the cold mountain winter is a good thing, because these birds were made for mountains. ~mmm

#mount rainier #mount rainier national park #canada jay #adaptation #cache

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mendfri · 1 year

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would you like cache, or credit?

#addison #addisona #cache #deltarune #deltarune chapter 2

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filmcritters · 7 months

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this month for patrons, we tackle CACHÉ (2005) 🐰🐶🎥

🔪 patreon.com/filmcritters 🔪

#cache #michael haneke

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yizr · 2 years

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controlPanel

#artists on tumblr #blender #b3d #motion #animation #computing #control panel #plants #cache #cpu #abstract #machines

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roadtrippinlilly · 9 months

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Eagle Park Vintage Sign...

Cache, Oklahoma

Source Me laf@ilyF ❤️

#original photographers #colors #artists on tumblr #my photos #oklahoma #my escape #my photgraphy #photographers on tumblr #vintage #sign #Eagle Park #Cache

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jcmarchi · 6 months

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Generative AI, innovation, creativity & what the future might hold - CyberTalk

New Post has been published on https://thedigitalinsider.com/generative-ai-innovation-creativity-what-the-future-might-hold-cybertalk/

Generative AI, innovation, creativity & what the future might hold - CyberTalk

Stephen M. Walker II is CEO and Co-founder of Klu, an LLM App Platform. Prior to founding Klu, Stephen held product leadership roles Productboard, Amazon, and Capital One.

Are you excited about empowering organizations to leverage AI for innovative endeavors? So is Stephen M. Walker II, CEO and Co-Founder of the company Klu, whose cutting-edge LLM platform empowers users to customize generative AI systems in accordance with unique organizational needs, resulting in transformative opportunities and potential.

In this interview, Stephen not only discusses his innovative vertical SaaS platform, but also addresses artificial intelligence, generative AI, innovation, creativity and culture more broadly. Want to see where generative AI is headed? Get perspectives that can inform your viewpoint, and help you pave the way for a successful 2024. Stay current. Keep reading.

Please share a bit about the Klu story:

We started Klu after seeing how capable the early versions of OpenAI’s GPT-3 were when it came to common busy-work tasks related to HR and project management. We began building a vertical SaaS product, but needed tools to launch new AI-powered features, experiment with them, track changes, and optimize the functionality as new models became available. Today, Klu is actually our internal tools turned into an app platform for anyone building their own generative features.

What kinds of challenges can Klu help solve for users?

Building an AI-powered feature that connects to an API is pretty easy, but maintaining that over time and understanding what’s working for your users takes months of extra functionality to build out. We make it possible for our users to build their own version of ChatGPT, built on their internal documents or data, in minutes.

What is your vision for the company?

The founding insight that we have is that there’s a lot of busy work that happens in companies and software today. I believe that over the next few years, you will see each company form AI teams, responsible for the internal and external features that automate this busy work away.

I’ll give you a good example for managers: Today, if you’re a senior manager or director, you likely have two layers of employees. During performance management cycles, you have to read feedback for each employee and piece together their strengths and areas for improvement. What if, instead, you received a briefing for each employee with these already synthesized and direct quotes from their peers? Now think about all of the other tasks in business that take several hours and that most people dread. We are building the tools for every company to easily solve this and bring AI into their organization.

Please share a bit about the technology behind the product:

In many ways, Klu is not that different from most other modern digital products. We’re built on cloud providers, use open source frameworks like Nextjs for our app, and have a mix of Typescript and Python services. But with AI, what’s unique is the need to lower latency, manage vector data, and connect to different AI models for different tasks. We built on Supabase using Pgvector to build our own vector storage solution. We support all major LLM providers, but we partnered with Microsoft Azure to build a global network of embedding models (Ada) and generative models (GPT-4), and use Cloudflare edge workers to deliver the fastest experience.

What innovative features or approaches have you introduced to improve user experiences/address industry challenges?

One of the biggest challenges in building AI apps is managing changes to your LLM prompts over time. The smallest changes might break for some users or introduce new and problematic edge cases. We’ve created a system similar to Git in order to track version changes, and we use proprietary AI models to review the changes and alert our customers if they’re making breaking changes. This concept isn’t novel for traditional developers, but I believe we’re the first to bring these concepts to AI engineers.

How does Klu strive to keep LLMs secure?

Cyber security is paramount at Klu. From day one, we created our policies and system monitoring for SOC2 auditors. It’s crucial for us to be a trusted partner for our customers, but it’s also top of mind for many enterprise customers. We also have a data privacy agreement with Azure, which allows us to offer GDPR-compliant versions of the OpenAI models to our customers. And finally, we offer customers the ability to redact PII from prompts so that this data is never sent to third-party models.

Internally we have pentest hackathons to understand where things break and to proactively understand potential threats. We use classic tools like Metasploit and Nmap, but the most interesting results have been finding ways to mitigate unintentional denial of service attacks. We proactively test what happens when we hit endpoints with hundreds of parallel requests per second.

What are your perspectives on the future of LLMs (predictions for 2024)?

This (2024) will be the year for multi-modal frontier models. A frontier model is just a foundational model that is leading the state of the art for what is possible. OpenAI will roll out GPT-4 Vision API access later this year and we anticipate this exploding in usage next year, along with competitive offerings from other leading AI labs. If you want to preview what will be possible, ChatGPT Pro and Enterprise customers have access to this feature in the app today.

Early this year, I heard leaders worried about hallucinations, privacy, and cost. At Klu and across the LLM industry, we found solutions for this and we continue to see a trend of LLMs becoming cheaper and more capable each year. I always talk to our customers about not letting these stop your innovation today. Start small, and find the value you can bring to your customers. Find out if you have hallucination issues, and if you do, work on prompt engineering, retrieval, and fine-tuning with your data to reduce this. You can test these new innovations with engaged customers that are ok with beta features, but will greatly benefit from what you are offering them. Once you have found market fit, you have many options for improving privacy and reducing costs at scale – but I would not worry about that in the beginning, it’s premature optimization.

LLMs introduce a new capability into the product portfolio, but it’s also an additional system to manage, monitor, and secure. Unlike other software in your portfolio, LLMs are not deterministic, and this is a mindset shift for everyone. The most important thing for CSOs is to have a strategy for enabling their organization’s innovation. Just like any other software system, we are starting to see the equivalent of buffer exploits, and expect that these systems will need to be monitored and secured if connected to data that is more important than help documentation.

Your thoughts on LLMs, AI and creativity?

Personally, I’ve had so much fun with GenAI, including image, video, and audio models. I think the best way to think about this is that the models are better than the average person. For me, I’m below average at drawing or creating animations, but I’m above average when it comes to writing. This means I can have creative ideas for an image, the model will bring these to life in seconds, and I am very impressed. But for writing, I’m often frustrated with the boring ideas, although it helps me find blind spots in my overall narrative. The reason for this is that LLMs are just bundles of math finding the most probable answer to the prompt. Human creativity —from the arts, to business, to science— typically comes from the novel combinations of ideas, something that is very difficult for LLMs to do today. I believe the best way to think about this is that the employees who adopt AI will be more productive and creative— the LLM removes their potential weaknesses, and works like a sparring partner when brainstorming.

You and Sam Altman agree on the idea of rethinking the global economy. Say more?

Generative AI greatly changes worker productivity, including the full automation of many tasks that you would typically hire more people to handle as a business scales. The easiest way to think about this is to look at what tasks or jobs a company currently outsources to agencies or vendors, especially ones in developing nations where skill requirements and costs are lower. Over this coming decade you will see work that used to be outsourced to global labor markets move to AI and move under the supervision of employees at an organization’s HQ.

As the models improve, workers will become more productive, meaning that businesses will need fewer employees performing the same tasks. Solo entrepreneurs and small businesses have the most to gain from these technologies, as they will enable them to stay smaller and leaner for longer, while still growing revenue. For large, white-collar organizations, the idea of measuring management impact by the number of employees under a manager’s span of control will quickly become outdated.

While I remain optimistic about these changes and the new opportunities that generative AI will unlock, it does represent a large change to the global economy. Klu met with UK officials last week to discuss AI Safety and I believe the countries investing in education, immigration, and infrastructure policy today will be best suited to contend with these coming changes. This won’t happen overnight, but if we face these changes head on, we can help transition the economy smoothly.

Is there anything else that you would like to share with the CyberTalk.org audience?

Expect to see more security news regarding LLMs. These systems are like any other software and I anticipate both poorly built software and bad actors who want to exploit these systems. The two exploits that I track closely are very similar to buffer overflows. One enables an attacker to potentially bypass and hijack that prompt sent to an LLM, the other bypasses the model’s alignment tuning, which prevents it from answering questions like, “how can I build a bomb?” We’ve also seen projects like GPT4All leak API keys to give people free access to paid LLM APIs. These leaks typically come from the keys being stored in the front-end or local cache, which is a security risk completely unrelated to AI or LLMs.

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