#AI data enhancement

[cyle]

still confused how to make any of these LLMs useful to me.

while my daughter was napping, i downloaded lm studio and got a dozen of the most popular open source LLMs running on my PC, and they work great with very low latency, but i can't come up with anything to do with them but make boring toy scripts to do stupid shit.

as a test, i fed deepseek r1, llama 3.2, and mistral-small a big spreadsheet of data we've been collecting about my newborn daughter (all of this locally, not transmitting anything off my computer, because i don't want anybody with that data except, y'know, doctors) to see how it compared with several real doctors' advice and prognoses. all of the LLMs suggestions were between generically correct and hilariously wrong. alarmingly wrong in some cases, but usually ending with the suggestion to "consult a medical professional" -- yeah, duh. pretty much no better than old school unreliable WebMD.

then i tried doing some prompt engineering to punch up some of my writing, and everything ended up sounding like it was written by an LLM. i don't get why anybody wants this. i can tell that LLM feel, and i think a lot of people can now, given the horrible sales emails i get every day that sound like they were "punched up" by an LLM. it's got a stink to it. maybe we'll all get used to it; i bet most non-tech people have no clue.

i may write a small script to try to tag some of my blogs' posts for me, because i'm really bad at doing so, but i have very little faith in the open source vision LLMs' ability to classify images. it'll probably not work how i hope. that still feels like something you gotta pay for to get good results.

all of this keeps making me think of ffmpeg. a super cool, tiny, useful program that is very extensible and great at performing a certain task: transcoding media. it used to be horribly annoying to transcode media, and then ffmpeg came along and made it all stupidly simple overnight, but nobody noticed. there was no industry bubble around it.

LLMs feel like they're competing for a space that ubiquitous and useful that we'll take for granted today like ffmpeg. they just haven't fully grasped and appreciated that smallness yet. there isn't money to be made here.

[pochapal]

just found out the upcoming flight simulator has a walkaround mode where you can literally wander around uncanny ai 3d upscaled bing maps earth with zero restrictions. they finally went and put heaven in a video game.

[techdriveplay]

The Impact of AI on Everyday Life: A New Normal

The impact of AI on everyday life has become a focal point for discussions among tech enthusiasts, policymakers, and the general public alike. This transformative force is reshaping the way we live, work, and interact with the world around us, making its influence felt across various domains of our daily existence. Revolutionizing Workplaces One of the most significant arenas where the impact…

[leidensygdom]

So, Discord has added a feature that lets other people "enhance" or "edit" your images with different AI apps. It looks like this:

Currently, you can't opt out from this at all. But here's few things you can do as a protest.

FOR SERVERS YOU ARE AN ADMIN IN

Go to Roles -> @/everyone roles -> Scroll all the way down to External Apps, and disable it. This won't delete the option, but it will make people receive a private message instead when they use it, protecting your users:

You should also make it a bannable offense to edit other user's images with AI. Here's how I worded it in my server, feel free to copypaste:

Do not modify other people's images with AI under ANY circumstances, such as with the Discord "enhancement" features, amidst others. This is a bannable offense.

COMPLAIN TO DISCORD

There's few ways to go around this. First, you can go to https://support.discord.com/hc/en-us/requests/new , select Help and Support -> Feedback/New Feature Request, and write your message, as seen in the screenshot below.

For the message, here's some points you can bring up:

Concerns about harassment (such as people using this feature to bully others)

Concerns about privacy (concerns on how External Apps may break privacy or handle the data in the images, and how it may break some legislations, such as GDPR)

Concerns about how this may impact minors (these features could be used with pictures of irl minors shared in servers, for deeply nefarious purposes)

BE VERY CLEAR about "I will refuse to buy Nitro and will cancel my subscription if this feature remains as it is", since they only care about fucking money

Word them as you'd like, add onto them as you need. They sometimes filter messages that are copypasted templates, so finding ways to word them on your own is helpful.

ADDING: You WILL NEED to reply to the mail you receive afterwards for the message to get sent to an actual human! Otherwise it won't reach anyone

UNSUSCRIBE FROM NITRO

This is what they care about the most. Unsuscribe from Nitro. Tell them why you unsuscribed on the way out. DO NOT GIVE THEM MONEY. They're a company. They take actions for profit. If these actions do not get them profit, they will need to backtrack. Mass-unsuscribing from WOTC's DnD beyond forced them to back down with the OGL, this works.

LEAVE A ONE-STAR REVIEW ON THE APP

This impacts their visibility on the App store. Write why are you leaving the one-star review too.

_

Regardless of your stance on AI, I think we can agree that having no way for users to opt out of these pictures is deeply concerning, specially when Discord is often used to share selfies. It's also a good time to remember internet privacy and safety- Maybe don't post your photos in big open public servers, if you don't want to risk people doing edits or modifications of them with AI (or any other way). Once it's posted, it's out of your control.

Anyways, please reblog for visibility- This is a deeply concerning topic!

[ronaldtateblog]

Mastering AI Optimization Techniques for Success

As AI models become increasingly integral to various industries, from biometric security to e-commerce recommendation systems, their performance is crucial for success. A recent study by McKinsey Global Institute found that AI could potentially deliver $14 trillion of total economic value by 2030, significantly impacting global GDP. I will explore how optimization techniques are revolutionizing…

[goodoldbandit]

Privacy-Enhancing Technologies (PET): How IT Leaders Must Respond.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Privacy-enhancing technologies (PETs) are redefining digital leadership. Learn how IT leaders can turn data privacy into a strategic edge. Redefining Leadership in the Age of Privacy-First Innovation Ten years ago, protecting data was largely about firewalls, passwords, and perimeter defenses. Today, the landscape has…

[manmishra]

🚀 Exciting news! Google has launched Gemini 2.0 and AI Mode, transforming how we search. Get ready for faster, smarter responses to complex queries! Explore the future of AI in search today! #GoogleAI #Gemini2 #AIMode #SearchInnovation

[tejasviaddagadaa]

Privacy Enhancing Technologies | Tejasvi Aadagada

Tejasvi Addagada is a thought leader in Privacy-Enhancing Technologies (PETs), driving innovation to safeguard data in an increasingly digital world. His expertise spans advanced cryptographic techniques, data anonymization, and secure multi-party computation, enabling organizations to harness data utility while maintaining strict privacy compliance. Through his strategic vision, Tejasvi is redefining how businesses implement PETs to mitigate risks, enhance data security, and build trust in digital ecosystems. His approach combines robust technical knowledge with a pragmatic understanding of regulatory landscapes, positioning him at the forefront of privacy technology advancements.

[websyn]

Streamline Your Workflow with Microsoft 365 Suite Deployment Services in 2025

In today’s fast-paced business environment, achieving efficiency and seamless collaboration is critical to staying ahead. The Microsoft 365 Suite offers a comprehensive range of tools designed to streamline workflows, enhance productivity, and foster better communication. However, to unlock its full potential, businesses need tailored deployment services that align with their specific goals and operational requirements.

Why Microsoft 365 Suite is Essential in 2025

Unified Communication and Collaboration Microsoft Teams, SharePoint, and Outlook provide integrated platforms that support real-time communication, file sharing, and collaboration across teams—whether they’re in the same office or dispersed globally.

Enhanced Productivity with AI and Automation Tools like Microsoft Viva and Power Automate bring AI-driven insights and automation capabilities, enabling businesses to reduce manual tasks and focus on strategic initiatives.

Scalable and Secure Solutions With advanced security features and compliance tools, Microsoft 365 ensures businesses can scale their operations confidently while safeguarding sensitive data.

Flexibility for Hybrid Work Models The suite’s cloud-based architecture empowers employees to work from anywhere, ensuring a seamless transition between remote and on-site operations.

The Importance of Professional Deployment Services

While Microsoft 365 offers robust features, implementing it effectively can be challenging without expert guidance. Professional deployment services are crucial for:

Customised Solutions: Tailoring the suite’s features to your business’s unique needs ensures maximum ROI.

Efficient Migration: Migrating data from legacy systems with minimal disruption requires technical expertise.

Training and Support: Ensuring your teams are equipped to leverage the suite effectively enhances adoption rates.

Ongoing Optimisation: Regular assessments and updates keep your systems aligned with evolving business objectives.

Addressing Modern Business Challenges

Reducing Silos By integrating tools like Teams, OneDrive, and Planner, organisations can eliminate data silos and promote cross-departmental collaboration.

Improving Decision-Making Power BI within Microsoft 365 provides actionable insights through real-time analytics, enabling leaders to make informed decisions swiftly.

Boosting Employee Engagement Features like Viva Insights prioritise employee well-being and productivity, helping organisations retain top talent.

Key Considerations for Microsoft 365 Deployment

Assess Your Business Needs: Understand your current challenges and how Microsoft 365 can address them.

Plan for Change Management: Foster a culture of adaptability to ensure smooth adoption.

Focus on Security: Leverage tools like Microsoft Defender to mitigate cybersecurity risks.

Partner with Experts: Collaborate with experienced providers to ensure a seamless deployment process.

Conclusion

Microsoft 365 Suite is not just a productivity tool; it’s a strategic asset for driving innovation and efficiency in 2025. By partnering with a trusted deployment service provider, businesses can ensure a smooth transition, empowering their teams to achieve more while staying agile in a competitive landscape.

Ready to revolutionise your workflow? Explore how Microsoft 365 Suite deployment can transform your business today.

[michaelgabrill]

Expanded AI Model with Global Data Enhances Earth Science Applications

NASA, IBM, and Forschungszentrum Jülich have released an expanded version of the open-source Prithvi Geospatial artificial intelligence (AI) foundation model to support a broader range of geographical applications. Now, with the inclusion of global data, the foundation model can support tracking changes in land use, monitoring disasters, and predicting crop yields worldwide.  The Prithvi Geospatial […] from NASA https://ift.tt/phbczAm

[ajmishra]

Dominating the Market with Cloud Power

Explore how leveraging cloud technology can help businesses dominate the market. Learn how cloud power boosts scalability, reduces costs, enhances innovation, and provides a competitive edge in today's digital landscape. Visit now to read more: Dominating the Market with Cloud Power

[code-of-conflict]

AI, Cybersecurity, and National Sovereignty

Introduction: The Role of AI in Cybersecurity

As artificial intelligence (AI) becomes integral to national security, cyber threats increasingly exploit AI-driven vulnerabilities. Both India and China face the challenge of securing their cyber infrastructure while mitigating espionage and offensive cyber operations. The risks include large-scale data breaches, intellectual property theft, and attacks on critical infrastructure. With AI enhancing the scope and speed of cyberattacks, national sovereignty is increasingly threatened by cyber vulnerabilities that transcend borders.

AI-Driven Cyber Threats and Espionage

China has heavily integrated AI into its cyber capabilities, using it to enhance espionage, cyber warfare, and information manipulation. AI-enabled cyber operations allow China to gather vast amounts of intelligence data through advanced hacking techniques. These tools are often deployed through state-sponsored groups, exploiting zero-day vulnerabilities and penetrating government and corporate networks worldwide​.

For example, in 2021, China was accused of orchestrating a large-scale cyber-attack targeting Microsoft Exchange servers, affecting over 30,000 organizations globally. This attack was designed to facilitate espionage, capturing sensitive information ranging from corporate intellectual property to government data​. China's cyber operations underscore the increasing use of AI in orchestrating sophisticated, large-scale intrusions that threaten national sovereignty.

India, while lagging behind China in offensive cyber capabilities, faces persistent cyber espionage threats from Chinese state-sponsored actors. The most notable incidents occurred during the 2020 India-China border standoff, where Chinese hackers targeted India's critical infrastructure, including power grids and government networks​. These attacks highlight the vulnerabilities in India's cybersecurity architecture and its need to enhance AI-driven defenses.

Vulnerabilities and National Sovereignty

AI-driven cyber threats pose significant risks to national sovereignty. For India, the challenges are magnified by the relatively underdeveloped nature of its cybersecurity infrastructure. Although the establishment of the Defence Cyber Agency in 2018 marked a step forward, India still lacks the offensive cyber capabilities and AI sophistication of China​. India's defensive posture primarily focuses on securing critical infrastructure and mitigating cyber intrusions, but it remains vulnerable to cyber espionage and attacks on its digital economy.

China's integration of AI into both military and civilian cyber systems, through its Military-Civil Fusion policy, has bolstered its ability to conduct large-scale cyber operations with deniability. This fusion allows China to leverage private sector innovations for military purposes, making it a formidable cyber power in the Indo-Pacific region​.

Case Studies: Cyber Confrontations

In 2019, a significant cyberattack targeted India's Kudankulam Nuclear Power Plant, which was traced back to North Korea, but was believed to be part of a broader effort involving Chinese actors. This incident highlighted the potential for AI-enhanced malware to target critical infrastructure, posing severe risks to national security.

Similarly, the 2020 Mumbai blackout, reportedly linked to Chinese hackers, emphasized how AI-driven cyberattacks can disrupt essential services, creating chaos in times of geopolitical tension​. These incidents illustrate how AI-driven cyber capabilities are increasingly weaponized, posing severe risks to India's sovereignty and its ability to protect critical infrastructure.

Implications for Future Conflicts

As AI continues to evolve, the cyber domain will become a primary battleground in future conflicts between India and China. AI-enhanced cyber operations provide both nations with the ability to conduct espionage, sabotage, and information warfare remotely, without direct military engagement. For China, these tools are integral to its broader geopolitical strategy, while India must develop its AI and cybersecurity capabilities to protect its national sovereignty and counteract cyber threats​.

Conclusion

The integration of AI into cybersecurity poses both opportunities and challenges for India and China. While China has aggressively developed AI-driven cyber capabilities, India faces an urgent need to enhance its defenses and develop its offensive cyber tools. As cyberattacks become more sophisticated, driven by AI, both nations will continue to grapple with the implications of these developments on national sovereignty and global security.

[hanasatoblogs]

Revolutionize Retail with AI-Driven Product Image Management System

In the fast-paced and highly competitive retail landscape, the quality of product information can significantly impact a brand’s success. Among the various aspects of product information management (PIM), product images play a crucial role in influencing purchasing decisions. In this article, we will explore how AI-driven Product Image Management Systems are revolutionizing the retail industry, enhancing PIM data quality, and driving business growth.

The Importance of Product Image Quality in Retail

Product images are often the first interaction a customer has with a product online. High-quality images not only attract potential buyers but also convey trust and credibility. In a world where e-commerce is thriving, having clear, accurate, and well-managed product images is essential. Poor image quality or misalignment with product descriptions can lead to customer dissatisfaction, increased return rates, and ultimately, loss of revenue.

Watch the PIQaaS'O' Demo on YouTube: Revolutionize Retail with AI-Driven Product Image Management

The Challenge: Maintaining High PIM Data Quality

Maintaining high data quality in PIM systems is a challenge for many retailers. Inconsistent or outdated product information, including images, can result in errors that affect the customer experience. Traditional methods of managing product images often involve manual processes, which are time-consuming, prone to human error, and inefficient at scale. This is where AI-driven solutions come into play.

How AI-Driven Product Image Management Systems Work

AI-driven Product Image Management Systems leverage advanced technologies such as machine learning, computer vision, and natural language processing to automate and optimize the process of managing product images. These systems can analyze, categorize, and tag images with incredible accuracy, ensuring that the right images are associated with the correct products in the PIM system.

Key Features of AI-Driven Systems:

Automated Image Tagging and Categorization: AI algorithms can automatically analyze product images, identifying key attributes such as color, size, and shape, and then tagging these images with relevant metadata. This reduces the need for manual tagging, which is often inconsistent and error-prone.

Image Quality Enhancement: AI can automatically detect and correct image quality issues such as low resolution, poor lighting, and incorrect color balance. This ensures that all product images meet the high standards required for online retail.

Consistency Across Channels: AI-driven systems can ensure that product images are consistent across all sales channels, from e-commerce websites to mobile apps and social media platforms. This uniformity enhances brand recognition and trust.

Real-Time Updates: With AI, product images can be updated in real-time across all platforms as soon as changes are made in the PIM system. This is particularly useful for retailers with large catalogs and frequent product updates.

Real-World Applications and Success Stories

Several retailers have successfully implemented AI-driven Product Image Management Systems, resulting in significant improvements in PIM data quality and overall business performance.

Example 1: Zalando

Zalando, a leading European e-commerce company, integrated AI into their PIM system to manage their vast collection of fashion products. By automating the tagging and categorization of product images, Zalando reduced manual efforts by 75% and improved the accuracy of product listings. This led to a 30% increase in customer satisfaction and a 20% reduction in return rates.

Example 2: Amazon

Amazon, a pioneer in e-commerce, uses AI-driven systems to manage millions of product images across its platform. By leveraging machine learning algorithms, Amazon ensures that all product images meet strict quality standards, leading to a more consistent and trustworthy shopping experience. This has been a key factor in Amazon’s continued dominance in the online retail space.

The Impact on PIM Data Quality

AI-driven Product Image Management Systems significantly enhance PIM data quality by ensuring that product images are accurate, consistent, and high-quality. This, in turn, improves the overall customer experience, leading to higher conversion rates, reduced return rates, and increased customer loyalty.

Benefits of Improved PIM Data Quality:

Enhanced Customer Trust: Accurate and high-quality product images build trust with customers, making them more likely to complete a purchase.

Reduced Operational Costs: Automating image management processes reduces the need for manual labor, cutting down on operational costs.

Faster Time-to-Market: With AI-driven systems, product images can be processed and uploaded faster, allowing retailers to get products to market more quickly.

Data-Driven Insights: The Future of AI-Driven Product Image Management

The future of AI-driven Product Image Management Systems looks promising, with continuous advancements in AI technology. As these systems become more sophisticated, we can expect even greater improvements in PIM data quality. Retailers that embrace AI-driven solutions will be better positioned to meet the demands of the modern consumer, who expects nothing less than perfection in their online shopping experience.

According to a recent report by McKinsey, companies that invest in AI-driven PIM solutions see a 15-20% increase in online sales and a 30% reduction in product returns. These statistics highlight the tangible benefits of adopting AI in product image management and underscore the importance of staying ahead of the curve in the competitive retail landscape.

Conclusion

AI-driven Product Image Management Systems are revolutionizing the way retailers manage and present their products online. By enhancing PIM data quality through automation and optimization, these systems not only improve the customer experience but also drive significant business growth. Retailers who invest in AI-driven solutions today will be the ones leading the market tomorrow, setting new standards for excellence in the industry.

In a world where the quality of product information can make or break a sale, AI-driven Product Image Management is no longer a luxury—it’s a necessity.

[ai-innova7ions]

Video Autogenerated by Faceless.Video

Micro AI is revolutionizing the way we interact with technology.

Micro AI is transforming our interaction with technology by providing lightweight, hyper-efficient models tailored for Edge devices such as smartwatches, IoT sensors, drones, and home appliances. This cutting-edge innovation facilitates real-time data processing and decision-making directly on the device, eliminating reliance on constant cloud connectivity. Imagine your smartwatch instantly analyzing health data or your smart home system making immediate adjustments based on real-time inputs—all thanks to micro AI. One of the key benefits of micro AI lies in its low latency and local processing capabilities. In industrial automation, it can monitor machinery in real time to predict failures before they occur. For smart homes, it enhances convenience and security by allowing appliances to learn from user behavior while optimizing energy consumption. In healthcare, wearable devices equipped with micro AI can provide critical monitoring of vital signs and alert medical professionals during emergencies—ensuring timely interventions that could save lives.

#microai #EdgeComputing

[ronaldtateblog]

Unlock the Power of AI for Customer Engagement

In today’s technology-driven era, businesses are reinventing their models to stay ahead in the competitive landscape. The rise of artificial intelligence in customer experience is transforming how companies interact with their customers. I will explore how AI is revolutionizing customer engagement, creating more meaningful relationships between businesses and their customers. As digital…

[techdriveplay]

How to Use AI Tools to Boost Productivity

In an age where efficiency is paramount, knowing how to use AI tools to boost productivity can make the difference between thriving in your career or simply getting by. The integration of artificial intelligence into everyday workflows is no longer a futuristic concept; it’s a practical reality that’s reshaping how we approach tasks, manage time, and drive results. Whether you’re an entrepreneur,…