#ai designing tools

[easihome]

If you're struggling with picking furniture you should have a quick read.

Can’t Figure Out Furniture? Try This Solution Did you know 68% of Americans find it hard to pick the right furniture and decor? If you’re among them, you’re not alone. But, there’s a solution that can change everything. Meet an AI-powered tool that’s changing how we approach home decor. It uses smart algorithms to check out your space, get your style, and offer tailored advice. With just a few…

[starrysharks]

wip

[klobexia]

you can be anti ip and also anti ai art. it’s important to me that you anime profile pic ass “leftists” know that. you know that right?

[geekupdated]

If you are planning to use AI in your work, no matter whether you are a blogger, marketer, student, or designer, a suitable tool can help you achieve more, faster.

(via 30 AI tools and services that will enhance your work in 2024)

[gaydexvocaloid]

aurum and audine besties wip idk if i’ll finish + yes it’s lasso tool drawn !!

[daevguy]

Girl I just, do not get excited for triple a games anymore.

[my5hiningstars]

.

[darkjusticiar]

Idk I also find it frustrating because sometimes you meet people who design but have zero understanding how to make that achievable in reality, and that's something everybody has to face at some point (I'm still learning too obviously!) But it is like. If you're specifically looking at generative models like the ones people have been using for art (which is generally what people are referring to) you're going to get a rude awakening when shirts don't work like that in real life

[l-1-z-a]

Emergent narrative in The Sims 2

Matt Brown at AIIDE 2006

Notes from Matt Brown's (EA/Maxis) invited talk at AIIDE 2006, entitled "The Power of Projection and Mass Hallucination (Practical AI in The Sims 2 and Beyond)".

The general gist of it is that��The Sims 2 is a sandbox world that provides some small bits of narrative-promotion to try to encourage emergent narrative sequences to actually emerge, by matching them against pre-authored snippets that seem desirable. In general, Matt Brown has a very AI-minimalist style of AI design.

Some points and claims:

Perception is key: how to seem intelligent, not how to be intelligent ("Big A, little i")

Complicated behind-the-scenes computation is usually interpreted as random behavior by the player, so don't bother

Players have short memories and quickly move on, so your AI should too

Correlary to the above: Local intelligence is good enough, at least for something like The Sims. Just focus on making sure everything makes sense in relation to what comes immediately before and immediately after, and players will fill in appropriate long-term stories themselves.

Consistency leads to player storytelling and ascription of personality

Some randomness helps avoid brittleness; keeps you from getting stuck in repeated or easily exploitable weird behaviors

The Sims/NPCs react to player-driven momentum, rather than initiating much of anything

Much of the local behavior is organized around story trees

Story trees are explicitly authored bits of story, very short

In their experience, the important thing here was the authoring tools, not the AI: given good tools, a few human authors can quickly create and maintain lots and lots of story trees. Important features were sorting of story trees by roles, easy searching/comparison/etc., batch creation/edits, and variable bindings.

He was pretty adamant that it's much easier to write authoring tools to make writing extensional definitions of "good story" feasible than it is to build a generative system with an internal notion of good story, since you'd have to do a lot of manual fiddling on the latter anyway.

Events are matched against all tree prefixes simultaneously, and of high-matching trees, the events that that tree says would come next in its story snipped is scored against a model of player interest ("player likes [x] events") and personality of the NPC, etc.

Players find it easier to give specific outcomes rather than traits — answering "likes hiking (y/n)?" is easy, while "x/10 for extrovert?" isn't.

Focus the player on the details you will actually use; in character design and personalities, don't try to faithfully model things that don't matter very much to your game

Anecdote: They had a complicated model for which urinals Sims would use: if there's 3, and someone's at the leftmost one, the Sim is supposed to use the rightmost one, not the middle one, unless they have some sort of weird personality. It wasn't reliably getting the responses they wanted, so they ripped it out and replaced it with a random-number generator, which people were just as happy to make up stories about and ascribe personality to.

A bit of an admission in the conclusion: As a sort of aimless "sandbox game", The Sims only really needs to make sure something interesting happens, but it hardly matters what. The player is responsible for making up stories (this is their sandbox after all), so the story-AI part of The Sims is only intended to provide some prompts and play off what the player does. That might not be the case in other types of games.

Follow-up: Maxis ended up deviating significantly from this view of Sims narrative with The Sims 3, bringing in Richard Evans to do a less AI-lite version of the AI, which included longer-term planning rather than purely emergent narrative. Evans has given a number of talks on that, which I unfortunately don't have good notes on, but here (archived) is a brief writeup someone else did of his AIIDE 2007 talk.

Mark J. Nelson, 2006-06-21.

<Note index>

Comments welcome: mjn@anadrome.org

Many thanks to @andrevasims for searching in this post:

[easihome]

Discover Your Home's Perfect Style | Expert Tips

New blog... check it out! Find the style for your dream home.

Did you know a well-designed home can make you happier and more productive by up to 15%? Your home’s look deeply affects your happiness and health. With the right approach, you can make it truly show off your style and tastes. I’m excited to share tips and strategies for finding your home’s perfect style. Whether you’re starting fresh or updating your space, you’ll learn to use AI tools and…

[moonindoon]

Cracking the Code: Manifesting Success with AI-Driven Marketing Strategies

As the domain of marketing technology continues to grow at a rapid pace and is driven by growth in artificial intelligence (AI) and personalization, marketers encounter exciting opportunities as well as daunting challenges. Adapting to these changes requires practical approaches that allow organizations to stay current, manage change effectively, and operate at scale.

In this article, we explore five practical tactics to help modern marketing teams adapt and thrive in this dynamic environment:

Embrace More 'Human' Customer Engagement Technology:

While chatbots have been around for decades, advancements in AI have significantly enhanced their capabilities. Today, AI-powered chatbots can engage with customers in a remarkably human-like manner, providing round-the-clock support and valuable insights.

Leveraging chatbots not only improves customer experience but also generates valuable data for outbound marketing initiatives. By analyzing customer queries and interactions, marketers can easily get valuable data that can enhance their marketing strategies.

Harness Customer Data Responsibly:

Customers willingly share personal information with companies, providing valuable insights into their preferences, behaviours, and sentiments. Marketers must mine this data responsibly and use it to deliver personalized experiences and targeted offers.

By leveraging predictive analytics and machine learning, marketers can analyze data faster and make informed decisions to enhance omnichannel marketing efforts.

Utilize Content Repurposing Tools:

Authentic content remains paramount in marketing, but creating content for various channels and platforms can be challenging. Content repurposing tools like Optimizely and Interaction Studio help marketers adapt long-form content into social media posts, videos, and other formats.

Expanding your content footprint not only enhances brand visibility but also allows for faster learning and adaptation to changing market dynamics.

Invest in Upskilling Your Team:

While AI-based tools offer significant automation potential, managing and mastering these technologies require skilled professionals. Marketers must invest in continuous learning and cross-functional collaboration to stay ahead.

Effective leadership and teamwork are essential for navigating the complexities of modern marketing. Encouraging knowledge sharing and collaboration across teams fosters a culture of innovation and growth.

Embrace Transformational Opportunities:

As AI continues to reshape the marketing landscape, traditional metrics of success are being redefined. Marketers must embrace the transformative potential of AI and other emerging technologies to serve their customers better.

When evaluating new ideas and technologies, marketers should prioritize customer value and align them with their brand and company values. By focusing on solutions that genuinely benefit customers, marketers can drive meaningful impact and success.

In conclusion, navigating the ever-evolving domain of AI-driven marketing requires a blend of innovative strategies and steadfast principles. By embracing more human-centric engagement technologies, responsibly harnessing customer data, utilizing content repurposing tools, investing in team upskilling, and embracing transformational opportunities, modern marketing teams can position themselves for success. The key lies in adapting to change while remaining true to customer-centric values, fostering collaboration, and prioritizing solutions that genuinely benefit the audience. With these practical tactics in hand, marketers can not only thrive but also lead the way in shaping the future of marketing.

[audryt]

Using AI for art or writing can make you guilty of plagiarism

AI isn't free even if you don't have to pay to use it. It could cost you $$$$ from lawsuits and result in your being convicted of copyright infringement and theft.

USING AI TO GENERATE IP (CREATIVE WORK) CAN RESULT IN THEFT. If you commit theft, you can be legally prosecuted by the person you stole from. Doesn't matter if AI generated the copyright infriging work for you or not. If you use someone else's work, YOU will be the one who violated their copyright and can be held legally and FINANCIALLY responsible for your theft.

AI is derivative -- it steals and mimics works that already exist. It does not create anything original. If you use it, you could end up breaking the law, having to pay an expensive lawyer to defend you, lose in court and then have to pay the original copyright owner for damages.

If you want to draw, learn to be an artist. If you want to write, learn to be a writer. If you want to create music, learn to be a composer. The only "shortcuts" to talent are stealing from others -- and those you steal from will have the right to seek justice for the crime you committed against them.

[filmcourage]

5 AI Tools Every Editor Can't Live Without (Recommended By Pro Editor) - Lucas Harger

Watch the video interview on Youtube here.

[my-thoughts-and-junk]

my new thing is obsessing over a funny little guy for a few months before moving onto another funny little guy

[willfool]

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[everythingaboutbiotech]

ChatGPT for Academia: Anatomy of Advanced ChatGPT Prompt