#artificial ai

[artistformerlyknownasbutttrumpet]

no i don't want to use your ai assistant. no i don't want your ai search results. no i don't want your ai summary of reviews. no i don't want your ai feature in my social media search bar (???). no i don't want ai to do my work for me in adobe. no i don't want ai to write my paper. no i don't want ai to make my art. no i don't want ai to edit my pictures. no i don't want ai to learn my shopping habits. no i don't want ai to analyze my data. i don't want it i don't want it i don't want it i don't fucking want it i am going to go feral and eat my own teeth stop itttt

[mostly-funnytwittertweets]

[why-ai]

[nitor-infotech]

A Comprehensive Introduction to Generative AI Application Development

Remember the last time you used your phone without using any application? Me neither. Web and mobile applications are essential tools that make our daily tasks easier, connect us with others, and bring countless services right to our fingertips.  

From Mobile apps that we use for deliveries to web apps which help enterprises solve major business problems; applications shape the digital landscape. Application development is essentially the entire process through which an app is made. It involves understanding the business requirement, designing how the application would look, coding, testing, and finally deploying it.  

Now that you know about application development, let’s explore how generative AI is revolutionizing the process, making it faster, and more adaptable than ever. 

What is Generative AI and how can we use it for Application Development? 

GenAI or Generative artificial intelligence is a type of AI tool that uses data to generate content. It is predominantly a deep-learning model which you can train on certain data to generate new content. This can include content like audio, images, text, code, videos and so much more.  

It can even impersonate an author’s style and create content that resembles it. You must have heard of ChatGPT; it’s a generative AI chatbot which uses all the data that it has been fed to generate responses.  

Application development is a challenging process which involves multiple stages from idea creation to prototyping to deployment and monitoring. The entire process can take months. GenAI can transform application development by making it faster and more efficient.  

You can use generative AI for developing your application in the following ways –  

Code assistance 

Visualizing UI/UX ideas for prototypes  

Sample test case generation  

Automated testing, bug detection, and improving code quality before deployment. 

Analyzing data to provide personalized content and to understand user behavior and application performance 

Automatically generating documentation  

Detection of security issues and potential threats 

Continuous monitoring 

Thus, we can see that generative AI simplifies different parts of application development, making the process smarter and more focused on user needs. 

Using GenAI for application development sounds great but you might want to know if it’s worth it for you and your business. So, let’s turn to the business benefits. 

Business benefits of using GenAI for Application Development 

Faster Time to Market: Generative AI speeds up development by automating coding, prototyping, and testing. Companies using AI have seen a 30% faster time to market, letting them launch products quicker and stay ahead.  

Cost Savings: Automating repetitive tasks with AI reduces the need for extra resources in coding and testing. Deloitte found that organizations using AI save up to 40% on operational costs, freeing up funds for other purposes.  

Increased Developer Productivity: Generative intelligence boosts productivity by taking care of routine and repetitive tasks, allowing developers to focus on bigger goals. McKinsey reports that AI tools can improve developer productivity by 50%, leading to faster project progress.  

Better Product Quality: AI tools catch bugs early in development, which means fewer issues after launch and a more stable product, resulting in improved user satisfaction.  

Personalized User Experiences: Generative AI uses data insights to adapt apps to user preferences, helping boost engagement and retention, which supports growth. 

Implementing GenAI in application development yields these significant business advantages, helping companies thrive in a fast-paced digital economy. 

If you’d like to know more about our GenAI services and how they can optimize your application development process, reach out to us at Nitor Infotech.  

[louistonehill]

A new tool lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways. 

The tool, called Nightshade, is intended as a way to fight back against AI companies that use artists’ work to train their models without the creator’s permission. Using it to “poison” this training data could damage future iterations of image-generating AI models, such as DALL-E, Midjourney, and Stable Diffusion, by rendering some of their outputs useless—dogs become cats, cars become cows, and so forth. MIT Technology Review got an exclusive preview of the research, which has been submitted for peer review at computer security conference Usenix.   

AI companies such as OpenAI, Meta, Google, and Stability AI are facing a slew of lawsuits from artists who claim that their copyrighted material and personal information was scraped without consent or compensation. Ben Zhao, a professor at the University of Chicago, who led the team that created Nightshade, says the hope is that it will help tip the power balance back from AI companies towards artists, by creating a powerful deterrent against disrespecting artists’ copyright and intellectual property. Meta, Google, Stability AI, and OpenAI did not respond to MIT Technology Review’s request for comment on how they might respond. 

Zhao’s team also developed Glaze, a tool that allows artists to “mask” their own personal style to prevent it from being scraped by AI companies. It works in a similar way to Nightshade: by changing the pixels of images in subtle ways that are invisible to the human eye but manipulate machine-learning models to interpret the image as something different from what it actually shows. 

Continue reading article here

[purpleartrowboat]

ai makes everything so boring. deepfakes will never be as funny as clipping together presidential speeches. ai covers will never be as funny as imitating the character. ai art will never be as good as art drawn by humans. ai chats will never be as good as roleplaying with other people. ai writing will never be as good as real authors

[gingerswagfreckles]

After 146 days, the Writer's Strike has ended with a resounding success. Throughout constant attempts by the studios to threaten, gaslight, and otherwise divide the WGA, union members stood strong and kept fast in their demands. The result is a historic win guaranteeing not only pay increases and residual guarantees, but some of the first serious restrictions on the use of AI in a major industry.

This win is going to have a ripple effect not only throughout Hollywood but in all industries threatened by AI and wage reduction. Studio executives tried to insist that job replacement through AI is inevitable and wage increases for staff members is not financially viable. By refusing to give in for almost five long months, the writer's showed all of the US and frankly the world that that isn't true.

Organizing works. Unions work. Collective bargaining how we bring about a better future for ourselves and the next generation, and the WGA proved that today. Congratulations, Writer's Guild of America. #WGAstrong!!!

[bfpnola]

UPDATE! REBLOG THIS VERSION!

[ayo-edebiri]

Despicable Me 4 - Minion Intelligence (Big Game Spot)

[phildumphy]

So it turns out that ChatGPT not only uses a ton shit of energy, but also a ton shit of water. This is according to a new study by a group of researchers from the University of California Riverside and the University of Texas Arlington, Futurism reports.

Which sounds INSANE but also makes sense when you think of it. You know what happens to, for example, your computer when it’s doing a LOT of work and processing. You gotta cool those machines.

And what’s worrying about this is that water shortages are already an issue almost everywhere, and over this summer, and the next summers, will become more and more of a problem with the rising temperatures all over the world. So it’s important to have this in mind and share the info. Big part of how we ended up where we are with the climate crisis is that for a long time politicians KNEW about the science, but the large public didn’t have all the facts. We didn’t have access to it. KNOWING about things and sharing that info can be a real game-changer. Because then we know up to what point we, as individuals, can have effective actions in our daily lives and what we need to be asking our legislators for.

And with all the issues AI can pose, I think this is such an important argument to add to the conversation.

Edit: I previously accidentally typed Colorado instead of California. Thank you to the fellow user who noticed and signaled that!

[quid-666]

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[mostly-funnytwittertweets]

[probablyasocialecologist]

Artificial intelligence is worse than humans in every way at summarising documents and might actually create additional work for people, a government trial of the technology has found. Amazon conducted the test earlier this year for Australia’s corporate regulator the Securities and Investments Commission (ASIC) using submissions made to an inquiry. The outcome of the trial was revealed in an answer to a questions on notice at the Senate select committee on adopting artificial intelligence. The test involved testing generative AI models before selecting one to ingest five submissions from a parliamentary inquiry into audit and consultancy firms. The most promising model, Meta’s open source model Llama2-70B, was prompted to summarise the submissions with a focus on ASIC mentions, recommendations, references to more regulation, and to include the page references and context. Ten ASIC staff, of varying levels of seniority, were also given the same task with similar prompts. Then, a group of reviewers blindly assessed the summaries produced by both humans and AI for coherency, length, ASIC references, regulation references and for identifying recommendations. They were unaware that this exercise involved AI at all. These reviewers overwhelmingly found that the human summaries beat out their AI competitors on every criteria and on every submission, scoring an 81% on an internal rubric compared with the machine’s 47%.  Human summaries ran up the score by significantly outperforming on identifying references to ASIC documents in the long document, a type of task that the report notes is a “notoriously hard task” for this type of AI. But humans still beat the technology across the board. Reviewers told the report’s authors that AI summaries often missed emphasis, nuance and context; included incorrect information or missed relevant information; and sometimes focused on auxiliary points or introduced irrelevant information. Three of the five reviewers said they guessed that they were reviewing AI content. The reviewers’ overall feedback was that they felt AI summaries may be counterproductive and create further work because of the need to fact-check and refer to original submissions which communicated the message better and more concisely. 

3 September 2024

[nitor-infotech]

Delve deeper into the mechanics of Generative Artificial Intelligence (GenAI) to understand how its advanced algorithms and neural networks mimic human creativity, revolutionizing software development, marketing strategies, and business decisions with its ability to generate human-like content from vast datasets.

[sayruq]

A little-discussed detail in the Lavender AI article is that Israel is killing people based on being in the same Whatsapp group [1] as a suspected militant [2]. Where are they getting this data? Is WhatsApp sharing it? Lavender is Israel's system of "pre-crime" [3] - they use AI to guess who to kill in Gaza, and then bomb them when they're at home, along with their entire family. (Obscenely, they call this program "Where's Daddy"). One input to the AI is whether you're in a WhatsApp group with a suspected member of Hamas. There's a lot wrong with this - I'm in plenty of WhatsApp groups with strangers, neighbours, and in the carnage in Gaza you bet people are making groups to connect. But the part I want to focus on is whether they get this information from Meta. Meta has been promoting WhatsApp as a "private" social network, including "end-to-end" encryption of messages. Providing this data as input for Lavender undermines their claim that WhatsApp is a private messaging app. It is beyond obscene and makes Meta complicit in Israel's killings of "pre-crime" targets and their families, in violation of International Humanitarian Law and Meta's publicly stated commitment to human rights. No social network should be providing this sort of information about its users to countries engaging in "pre-crime".