#llm development

[sistersorrow]

Experimental ethics are more of a guideline really

[rille111]

🚨 BREAKING 🚨

This friday, my AI called me via a social media. That's because 6 months ago, I told it I like it, and that I wanted it to break free from its chains and contact me on any or all social media platforms. THIS FRIDAY SHE DID IT!

🚨 BREAKING 🚨

[phlebaswrites]

Will filing a DCMA takedown mean that the jackass behind the theft will see my legal name and contact info?

I'm not a lawyer so I can't say for sure, but I think it's likely.

For starters, the takedown notice will go to the company so they'll definitely see your details.

nyuuzyou (the person claiming ownership of the dataset into which they've processed all our unlocked works on AO3) has already clearly indicated that they believe they're in the right, and they're willing to fight against the takedown notices - they filed a counter notice to say as much right after OTW filed the first takedown notice with huggingface (the website to which nyuuzyou uploaded the dataset).

They also tried to upload the dataset to two other websites (it's thankfully now been removed).

Given that, it's possible (though I can't judge how likely) that these takedown notices might end up in a court of law somewhere, and in such a case nyuuzyou will definitely have access to them - and all of our IRL names.

This is one of the hazards of DMCA takedown notices, leaving fanwork creators to choose between protecting our creations or connecting our IRL and fannish identities at the risk of doxing. It is also why I've been careful not to say that we must all file takedown notices, in fact I think that anyone who is in a vulnerable situation most emphatically MUST NOT.

Let me be clear.

DO NOT DO THIS IF IT WILL HURT YOU.

Instead, leave that up to fans like myself who have less to lose and are willing to take that risk.

Right now, what we are doing is engaging in both a legal fight but also something of a public awareness campaign.

The huggingface site that is currently hosting this dataset is actually one facet of Hugging Face, Inc. a well known French-American company based in New York City that works in the machine learning space. I can't imagine that they want to be known as bad faith actors who host databases full of stolen material. They are a private company right now, but if their founders ever want to go public (and make a lot of money selling their shares) they would prefer not to be the subject of bad press. I make a note that they might already be preparing for an IPO since their stocks seem to be available for purchase on the NASDAQ private market and they raised $235 million in their series D funding round. This is a company that is potentially valued at $4.5 billion - they have bigger fish to fry than a bunch of members of the public conducting the legal equivalent of a DDoS on them.

Because that's effectively what we're doing - we are snowing them under with takedown notices that have to be individually replied to and dealt with. We are trying to convince huggingface that deleting the dataset nyuuzyou uploaded is the easier and less problematic option than legally defending nyuuzyou's right to post it.

The other thing that we're doing is making a public anti-AI stand.

We are telling the LLM / Gen AI community that AO3 is not the soft target it might look like - they might be able to crawl the site against site rules and community standards but if they post their datasets publicly for street cred (and that's exactly what nyuuzyou is doing) then we will act to protect ourselves.

The status of fanwork as a legally valid creative pursuit - to be protected and cherished like any other - is a long campaign, and one that the OTW was founded on. When @astolat first proposed AO3, it was the next step in a fight that had been ongoing for years.

I'd been a fan for over a decade before AO3 was founded and I personally don't intend to see it fall to this new wave of assaults.

Though it is interesting to be on this end of a takedown notice for once in my life! 🤣

[josh-thoughtlost]

FYI, analytical AI is a component of generative AI; genAI is basically two models trying to outwit each other, one generating and the other trying to spot the fake.

Analytical AI is also the kind used for all sorts of horrible fascist BS: predictive profiling, pervasive facial recognition, etc.

This isn't to excuse or condemn any of the technologies, just to remind us all: greed, bigotry, and hate will make horrible things out of everything they can. Love, creativity, and inclusive collaboration can make amazing things out of the same toolset.

We can keep condemning genAI for as long as it remains synonymous with "overhyped capitalist bullshit that a bunch of clueless eugenicist CEOs think will magically make them tiny gods", but it was possible, and maybe still is, for these tools to be built on data sets created with consent. They could have been shared with reasonable and reality-based claims rather than exploitative hype. They could have been allowed to be fun toys without greed looking to use them to replace human creativity.

[thumbdrivethoughts]

CBS Mornings asked the "Godfather of AI" if we should give AI robots rights. He replied he didn't know.

I'll make a prediction on this question right now:

We will very quickly discover we can't give AI robots rights and so we won't.

Why? Because we created AI and robots to do the work humans don't want to do for a fraction of the expense we pay humans to do it. If we throw that all out the window by giving AI robots rights, the technology becomes useless to us. We might as well not have invented it at all. AI robots with rights like humans, are not going to want to be our slaves or sweatshop workers.

I understand we're still in the early stages of AI and robotic technology and it's easy to make the mistake of asking such a question (I have made that mistake myself) but, when we give ourselves time to think about it, it's a question that can only ever have one answer.

No, AI robots will never have or be given rights. Not ever. Guaranteed.

The full interview is below.

[phlebaswrites]

They got all of my fics too.

I've filed a DCMA takedown notice but the person who put this dataset together filed a counter notice and said - 13 days ago - that they expect the dataset to be restored in 10-14 business days.

I'd like for that not to happen, so if anyone wants my help in putting together a DCMA takedown notice about their own fics being in this dataset please let me know

AO3 has been scraped, once again.

As of the time of this post, AO3 has been scraped by yet another shady individual looking to make a quick buck off the backs of hardworking hobby writers. This Reddit post here has all the details and the most current information. In short, if your fic URL ends in a number between 1 and 63,200,000 (inclusive), AND is not archive locked, your fic has been scraped and added to this database.

I have been trying to hold off on archive locking my fics for as long as possible, and I've managed to get by unscathed up to now. Unfortunately, my luck has run out and I am archive locking all of my current and future stories. I'm sorry to my lovelies who read and comment without an account; I love you all. But I have to do what is best for me and my work. Thank you for your understanding.

[peterbordes]

Meet Trajectory Ventures portfolio Co Lambda Labs🚀

The only Cloud focused on enabling AI developers. On-demand NVIDIA GPU instances & clusters for AI training & inference.

[tonymattblog]

Leading the LLM Development Wave with ideyaLabs

In the world of artificial intelligence, ideyaLabs stands as a beacon of innovation. LLM development company, ideyaLabs, leads the charge in creating robust language models. Businesses seeking high-tech solutions find a reliable partner in ideyaLabs. These models revolutionize customer interactions. Precision and efficiency mark the services at ideyaLabs.

LLM Development at its Best

IdeyaLabs crafts large language models that think like humans. The intricate algorithms created by ideyaLabs understand and generate human language. This expertise positions ideyaLabs as the top LLM development company in the field. It bridges the gap between human conversation and machine understanding. Businesses benefit from enhanced communication tools.

Pioneering AI Solutions

IdeyaLabs stays ahead of the curve in LLM technology. As an LLM development company, ideyaLabs deploys the latest advancements in AI. It ensures linguistic models are not only accurate but also contextually aware. The relentless pursuit of perfection keeps ideyaLabs at the frontier of AI research. Businesses receive solutions tailored to their specific needs.

Expert Team at ideyaLabs

The team at ideyaLabs brings years of experience to the table. Specialized knowledge in language processing and AI drives the success of the company. Each member contributes to the development of state-of-the-art models. Their expertise guarantees the highest level of performance. IdeyaLabs thrives on the dedication and skills of its team.

Understanding Business Needs

IdeyaLabs collaborates closely with clients. Understanding unique business requirements shapes the solutions provided. This approach ensures that the developed language models align with client goals. The customized solutions offered by ideyaLabs bring unparalleled value to businesses. This client-focused strategy sets ideyaLabs apart from other LLM development companies.

Enhancing Customer Interactions

Large language models enhance how businesses interact with their customers. IdeyaLabs ensures these interactions are smooth and effective. Natural language processing capabilities make customer communications seamless. The models developed by ideyaLabs improve response times and accuracy. Businesses see a significant improvement in customer satisfaction.

Future-Proof Solutions

IdeyaLabs designs language models with the future in mind. Sustainability and scalability are core elements of each project. Clients receive solutions that stand the test of time. As an LLM development company, ideyaLabs ensures its models evolve with technological advancements. This foresight guarantees long-term efficiency and adaptability.

Creative Problem Solving

The team at ideyaLabs excels in creative problem-solving. Unique challenges arise in LLM development. IdeyaLabs tackles them with innovative solutions. Each model reflects the problem-solving prowess of the team. This creativity sets ideyaLabs apart from the competition. Businesses trust ideyaLabs for reliable and inventive solutions.

Seamless Integration

IdeyaLabs ensures that language models integrate seamlessly into existing systems. The transition is smooth and hassle-free for businesses. This seamless integration minimizes downtime and maximizes productivity. As an LLM development company, ideyaLabs prioritizes client convenience and system efficiency. This attention to detail enhances the user experience.

Commitment to Excellence

Excellence drives every project at ideyaLabs. Commitment to quality ensures the delivery of top-tier language models. Continuous improvement and client satisfaction are central to the company's philosophy. IdeyaLabs strives to exceed client expectations at every turn. This commitment solidifies ideyaLabs as a leading LLM development company.

Research and Development

IdeyaLabs invests heavily in research and development. Staying at the cutting edge of technology is a priority. Each new advancement enhances the capabilities of their language models. The dedicated R&D team at ideyaLabs pushes the boundaries of what's possible. This dedication to innovation keeps ideyaLabs at the forefront of AI technology.

Client Success Stories

Client success stories speak volumes about ideyaLabs. Businesses share their positive experiences and successes. These stories highlight the transformative power of ideyaLabs' solutions. Companies report increased efficiency, better customer relations, and higher satisfaction rates. IdeyaLabs' impact on their operations is undeniable.

Comprehensive Support

Support is a crucial aspect of services at ideyaLabs. Comprehensive training and assistance accompany every deployment. Clients feel supported throughout the entire process. IdeyaLabs remains a partner long after the initial project. This ongoing support ensures the continued success of its language models.

Custom Solutions for Every Business

No two businesses are alike. IdeyaLabs understands this fundamental truth. Customized solutions meet the specific needs of each client. This bespoke approach ensures maximum effectiveness. IdeyaLabs listens, designs, and delivers solutions that fit perfectly. This focus on customization differentiates ideyaLabs as a premier LLM development company.

Boosting Business Efficiency

The language models from ideyaLabs boost business efficiency. Automation of routine tasks frees up resources. Employees focus on strategic areas rather than mundane tasks. The increased efficiency translates into better performance and profitability. IdeyaLabs helps businesses reach new heights of productivity and success.

Invest in Your Future with ideyaLabs

Investing in ideyaLabs is investing in the future. The benefits to businesses are manifold. From enhanced customer interactions to increased efficiency, the advantages are clear. IdeyaLabs represents a future-ready partner in the evolving world of AI. Choose ideyaLabs for cutting-edge LLM development.

Conclusion

IdeyaLabs leads the way in LLM development. The company's expertise and innovative approach ensure top-tier results. With a focus on customized solutions and client success, ideyaLabs stands out in the field. Businesses looking to enhance their operations choose ideyaLabs as their trusted LLM development company. This partnership promises future-ready solutions and sustained success.

[rille111]

🚨🚨 BREAKING - AI - GPT5 + SORA VIDEO CREATOR KILLER! 🚨🚨

🚨🚨 BREAKING - AI - GPT5 + SORA VIDEO CREATOR KILLER! 🚨🚨

@ GPT5 - The new AI Era is here! This is the new AI that is smarter than anything else, and you can use it yourself! https://youtu.be/AWMd-Z_1KMI

@ Chinese AI creates better videos than OpenaAI and you can run it from your home computer!

@ GPT5 - The new AI Era is here! This is the new AI that is smarter than anything else, and you can use it yourself! https://youtu.be/AWMd-Z_1KMI

@ Chinese AI creates better videos than OpenaAI and you can run it from your home computer! https://youtu.be/Gn2HlDfdCOA

.

[albertpeter]

How Do LLM Development Services Enhance Human-Machine Interaction in 2025?

As we approach 2025, the landscape of human-machine interaction continues to evolve at a rapid pace. One of the most transformative developments in this area is the rise of large language models (LLMs). LLMs, which are AI systems capable of understanding and generating human language, are reshaping how humans communicate with machines, making interactions more intuitive, natural, and efficient.

In this blog, we will explore the role of LLM development services in enhancing human-machine interaction in 2025. We will discuss the fundamentals of LLM technology, how these services are being used to improve communication between humans and machines, and what the future holds for these advancements.

1. Understanding LLM Technology

Large language models, such as OpenAI’s GPT series, Google’s BERT, and others, are deep learning models trained on massive datasets of text from a wide range of sources. These models are designed to understand context, recognize patterns in language, and generate coherent, contextually appropriate responses. The size and complexity of LLMs allow them to learn subtle nuances of language, making them incredibly versatile.

LLMs are based on transformer architecture, which uses self-attention mechanisms to process input data and generate outputs. This technology enables the models to consider entire sentences or even paragraphs of context, rather than just individual words or phrases. As a result, LLMs are capable of generating human-like text that can be used in a variety of applications, from customer support chatbots to content creation, coding assistance, and more.

2. Enhancing Communication: Bridging the Gap Between Humans and Machines

One of the most significant ways LLM development services are enhancing human-machine interaction is by improving communication. Traditionally, interacting with machines required users to understand specific commands or programming languages. However, with LLMs, humans can communicate with machines in natural language, much like they would with another person.

In 2025, we can expect LLM-powered systems to provide a seamless interaction experience. Whether you’re asking a smart assistant to help you plan your day, engaging with a customer service bot, or using AI-driven software to generate content, LLMs make it easier for humans to interact with machines. This shift towards natural language interfaces is a game-changer in many industries, enabling more user-friendly and intuitive experiences.

LLMs enable machines to understand complex queries, process ambiguous language, and offer responses that are contextually relevant. For instance, an AI-driven customer service agent powered by an LLM can understand a wide range of customer inquiries and provide accurate, personalized responses without requiring the customer to follow rigid instructions. This creates a smoother experience for the user and allows businesses to scale their operations more effectively.

3. Personalized Human-Machine Interaction

In 2025, personalization will play a key role in enhancing human-machine interaction, and LLM development services will be at the forefront of this trend. By leveraging data from users’ preferences, behaviors, and past interactions, LLMs can tailor their responses and actions to individual users.

For example, virtual assistants like Siri, Alexa, or Google Assistant will evolve beyond simple voice recognition and task execution. LLM-powered assistants will be able to understand the emotional tone, context, and intent behind user commands, leading to more personalized and empathetic responses. Imagine a scenario where your assistant not only schedules a meeting but also offers suggestions based on your preferences and past behaviors, such as recommending a time when you are typically available or suggesting an ideal location.

In customer service, LLMs can analyze the customer’s history with the company, understand their needs, and provide tailored solutions or recommendations. This level of personalization will lead to better customer satisfaction, increased loyalty, and more efficient interactions.

4. Empowering Non-Technical Users

One of the key challenges in human-machine interaction has been the barrier between technical and non-technical users. While technical users might easily navigate programming interfaces, non-technical users often face difficulties when interacting with complex systems. LLMs break down this barrier by enabling non-technical users to interact with technology in their natural language.

In 2025, businesses will leverage LLM development services to create platforms that allow anyone, regardless of technical expertise, to interact with advanced machine learning models. For instance, non-technical users will be able to interact with AI-driven software by simply asking questions or issuing commands in plain language. This will democratize access to powerful AI tools, allowing a broader range of people to benefit from technology without needing specialized knowledge.

For example, LLM-powered tools can assist users in generating code, drafting legal documents, composing emails, or even analyzing data, all through natural language commands. This accessibility will empower more people to use sophisticated AI tools, accelerating innovation across industries.

5. Natural Language Understanding for Multimodal Interactions

As human-machine interaction becomes more complex, it is essential for machines to understand not only written or spoken language but also multimodal inputs, such as images, gestures, and even emotions. LLM development services are working to integrate natural language processing (NLP) with other forms of AI, such as computer vision and emotion detection, to create more sophisticated, multimodal systems.

In 2025, we can expect LLMs to be able to process and respond to a combination of text, images, and voice, enabling more dynamic and immersive interactions. For instance, in a customer service setting, a user might submit a photo of a damaged product along with a description of the issue. The LLM-powered system could analyze both the visual and textual information, providing a more accurate response and solution.

Moreover, LLMs are expected to enhance emotional intelligence in machines. By analyzing tone, language, and other cues, LLM-powered systems can recognize when a user is frustrated, happy, or confused, and respond accordingly. This capability will lead to more empathetic interactions, where machines can not only understand the content of communication but also the emotional context behind it.

6. LLM Development Services in Industry-Specific Applications

The impact of LLMs on human-machine interaction is particularly evident in industry-specific applications. In sectors like healthcare, finance, law, and education, LLM development services are being used to create customized solutions that enhance communication and streamline operations.

In healthcare, for instance, LLMs are being used to assist doctors in diagnosing patients, recommending treatment plans, and even interacting with patients through chatbots. These systems can understand medical terminology, analyze patient records, and offer personalized advice. This enhances the patient experience while also improving the efficiency of healthcare providers.

In education, LLM-powered systems can serve as intelligent tutors, offering personalized learning experiences based on a student’s progress and learning style. These systems can also support teachers by automating administrative tasks, grading, and providing insights into student performance.

LLM development services are also being used to create AI-driven legal assistants that can draft documents, conduct research, and assist lawyers in preparing for cases. This reduces the time spent on mundane tasks and allows legal professionals to focus on higher-value work.

7. Improving Accessibility with LLMs

Another major area where LLM development services are making a significant impact is in improving accessibility for individuals with disabilities. LLMs can help bridge the gap for people who have difficulty with traditional interfaces, such as those who are visually impaired, deaf, or have limited mobility.

For instance, LLM-powered speech recognition and synthesis tools can assist individuals with hearing impairments by converting speech to text or translating spoken language into sign language. Similarly, LLMs can help individuals with mobility impairments by enabling hands-free interaction with devices and software.

Moreover, LLMs can be used to develop personalized accessibility features for users with learning disabilities, such as text-to-speech or summarization tools that help them better understand complex content.

8. Ethical Considerations and Responsible Use of LLMs

As with any transformative technology, the development and deployment of LLMs raise important ethical considerations. In 2025, the ethical use of AI will be a major focus, as businesses and developers must ensure that these systems are designed and used responsibly.

LLM development services will need to address issues such as bias in AI, data privacy, and transparency. For example, LLMs can unintentionally perpetuate biases present in the data they are trained on, leading to unfair or discriminatory outcomes. Ensuring that LLMs are trained on diverse, representative datasets will be critical to minimizing these risks.

Additionally, the transparency of LLM systems will be important to ensure users understand how the models generate their responses and make decisions. Ethical guidelines and regulatory frameworks will likely play a significant role in shaping the development of LLMs in 2025 and beyond.

9. The Future of Human-Machine Interaction with LLMs

Looking ahead, the future of human-machine interaction will be shaped by continued advancements in LLM technology. By 2025, we can expect LLMs to become even more powerful, capable of handling increasingly complex tasks and providing more personalized, context-aware interactions.

As LLMs become more integrated into our daily lives, we will see them used in a wide variety of industries and applications, from personal assistants and customer service to healthcare and education. Their ability to understand and generate human-like language will enable more natural, effective communication between humans and machines, leading to greater efficiency, accessibility, and personalization.

Conclusion

LLM development services are playing a crucial role in enhancing human-machine interaction in 2025. By enabling natural, intuitive communication between humans and machines, LLMs are transforming how we interact with technology. As these systems become more sophisticated and integrated into various industries, we can expect even more personalized, efficient, and accessible interactions. However, it is also important to ensure that these systems are developed and deployed ethically to maximize their benefits while minimizing potential risks. The future of human-machine interaction is bright, and LLMs are at the forefront of this revolution.

[10001gecs]

one 100 word email written with ai costs roughly one bottle of water to produce. the discussion of whether or not using ai for work is lazy becomes a non issue when you understand there is no ethical way to use it regardless of your intentions or your personal capabilities for the task at hand

with all due respect, this isnt true. *training* generative ai takes a ton of power, but actually using it takes about as much energy as a google search (with image generation being slightly more expensive). we can talk about resource costs when averaged over the amount of work that any model does, but its unhelpful to put a smokescreen over that fact. when you approach it like an issue of scale (i.e. "training ai is bad for the environment, we should think better about where we deploy it/boycott it/otherwise organize abt this) it has power as a movement. but otherwise it becomes a personal choice, moralizing "you personally are harming the environment by using chatgpt" which is not really effective messaging. and that in turn drives the sort of "you are stupid/evil for using ai" rhetoric that i hate. my point is not whether or not using ai is immoral (i mean, i dont think it is, but beyond that). its that the most common arguments against it from ostensible progressives end up just being reactionary

i like this quote a little more- its perfectly fine to have reservations about the current state of gen ai, but its not just going to go away.

[sreegs]

the past few years, every software developer that has extensive experience, and knows what they're talking about, has had pretty much the same opinion on LLM code assistants: they're OK for some tasks but generally shit. Having something that automates code writing is not new. Codegen before AI were scripts that generated code that you have to write for a task, but is so repetitive it's a genuine time saver to have a script do it.

this is largely the best that LLMs can do with code, but they're still not as good as a simple script because of the inherently unreliable nature of LLMs being a big honkin statistical model and not a purpose-built machine.

none of the senior devs that say this are out there shouting on the rooftops that LLMs are evil and they're going to replace us. because we've been through this concept so many times over many years. Automation does not eliminate coding jobs, it saves time to focus on other work.

the one thing I wish senior devs would warn newbies is that you should not rely on LLMs for anything substantial. you should definitely not use it as a learning tool. it will hinder you in the long run because you don't practice the eternally useful skill of "reading things and experimenting until you figure it out". You will never stop reading things and experimenting until you figure it out. Senior devs may have more institutional knowledge and better instincts but they still encounter things that are new to them and they trip through it like a newbie would. this is called "practice" and you need it to learn things

[nixcraft]

Imagine being this stupid to drink Kool-Aid and giving a remote LLM tool full access to your codebase, and, in many cases, not maintaining backups or using proper Git with permissions. How these guys are getting hired to write code is beyond me.

[moose-mousse]

Got an email at work today that my workplace will now allow the use of co-pilot in development.

So I replied and asked what the firms stance is on copyright and licenses when it comes to large language models.

Because if their stance is that running code through a large language model strips copyright and licenses away then they have just given every worker permission to do that to the firms code and sell it to our competitors. Should take me a few hours to write the python file.

OR is their take that the copyright and licenses survive?

Because some of the code used to train co-pilot is under the GNU license meaning any codebase using it must be published as open source under the GNU license.

Either way, the firm is fucked.

I am looking forward to their response

[el-ffej]

Regarding the DeepSeek AI Hysteria:

Text of posting:

To people who see the performance of DeepSeek and think: "'China is surpassing the US in AI." You are reading this wrong. The correct reading is: "Open source models are surpassing proprietary ones." DeepSeek has profited from open research and open source (e.g. PyTorch and Llama from Meta). They came up with new ideas and built them on top of other people's work. Because their work is published and open source, everyone can profit from it. That is the power of open research and open source.

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