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Nvidia
5h
37
Image Credit: Nvidia
NVIDIA’s Jacob Liberman on Bringing Agentic AI to Enterprises
- Enterprises are using agentic AI to create intelligent systems that reason, act, and execute complex tasks with autonomy.
- AI agents are deployed to free human workers from time-consuming tasks, allowing them to focus on high-value work that requires creativity and strategic thinking.
- NVIDIA AI Blueprints help build custom AI agents for various use cases, such as customer service, video search, summarization, and drug discovery.
- AI agents and human workers are expected to collaborate in the future for complex tasks that require reasoning, intuition, and judgment.
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TechCrunch
5h
193
Image Credit: TechCrunch
DeepMind’s 145-page paper on AGI safety may not convince skeptics
- Google DeepMind has published a 145-page paper on its safety approach to AGI.
- The paper predicts AGI arrival by 2030 and potential severe harm.
- It contrasts DeepMind's approach with other AI labs and raises doubts on superintelligent AI.
- The paper proposes techniques to mitigate safety challenges and stresses the responsibility of AI developers.
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Eu-Startups
5h
6
Lumai secures more than €9.2 million to slash AI processing costs and boost performance
- Oxford-based startup Lumai has secured more than €9.2 million to reduce AI processing costs and enhance performance.
- The funding round was led by Constructor Capital and included participation from existing and new investors.
- Lumai will use the investment to support product development, expand its team, and establish a stronger presence in the US.
- Lumai's optical computing technology aims to overcome scalability challenges and significantly reduce power consumption for AI data centres.
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Silicon
5h
238
Image Credit: Silicon
Amazon Launches Nova AI Agent To Perform Browser Actions
- Amazon has launched a new AI agent called Amazon Nova.
- Amazon Nova is designed to perform actions within a web browser for users.
- Nova is part of Amazon's drive to deliver generative AI solutions simplifying the lives of customers.
- Amazon Nova is available as a research preview and developers can experiment with the AI models.
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Dev
6h
13
Image Credit: Dev
What is algorithm: Concept, history, current situation, use cases and application scenarios?
- An algorithm is a step-by-step procedure or set of rules designed to solve a specific problem or perform a computation.
- The concept of algorithms dates back to ancient civilizations, and they have become a crucial part of technological advancements in various domains.
- Today, algorithms are used in artificial intelligence, big data processing, cryptography, optimization, and quantum computing.
- Algorithms have applications in search engines, e-commerce, healthcare, finance, transportation, social media, gaming, robotics, climate modeling, and cryptocurrency.
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Medium
6h
100
Image Credit: Medium
The Best AI Tools for Affiliate Marketing in 2025: Why AI AutoCreatr Tops the List
- AI AutoCreatr is considered the top AI tool for affiliate marketing in 2025, offering an all-in-one solution for both beginners and experienced professionals.
- AI AutoCreatr excels in instant content creation, automated SEO, hands-free monetization, and AI-generated images, simplifying and enhancing various aspects of affiliate marketing.
- Compared to other AI tools, AI AutoCreatr stands out for building fully automated affiliate sites in minutes, writing SEO-optimized content, automatically inserting affiliate links, and generating AI images.
- While other AI tools focus on specific areas like content creation or SEO, AI AutoCreatr offers a comprehensive solution by automating all aspects of affiliate marketing.
- Users praise AI AutoCreatr for eliminating the need for recurring costs, providing lifetime updates, and streamlining the setup and management of affiliate sites.
- Testimonials highlight the success users have achieved with AI AutoCreatr, including earning without writing posts, ranking high on Google, and building sites without content creation hassles.
- With AI AutoCreatr, users can quickly set up automated affiliate sites across various niches, benefit from real rankings and commissions without manual work, and enjoy the ease of installation and use.
- The tool's one-time payment model, ability to handle tech-related tasks, and effectiveness in driving organic traffic make it a valuable investment for affiliate marketers in 2025.
- AI AutoCreatr requires WordPress for installation but is user-friendly, supports multiple site creation with one license, and offers a 30-day money-back guarantee for unsatisfied users.
- Overall, AI AutoCreatr simplifies affiliate marketing by automating content creation and site building, emphasizing that success still hinges on niche selection, promotion strategies, and market conditions.
- Affiliate marketing in 2025 becomes more accessible with AI tools like AI AutoCreatr, which ensures time, cost, and effort savings through automation, transforming the affiliate marketing landscape.
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Medium
6h
337
Image Credit: Medium
What Happens When You Tell an LLM It Has an iPhone Next to It?
- The article discusses the influence of environmental cues on human cognitive performance and language model behavior.
- The author conducted an experiment to test if telling a language model about an environmental condition, like having a phone nearby, would impact its performance.
- Results showed that while the presence of a phone impaired human performance, suggesting it to the language model improved its performance.
- An open-source script named EvaluateGPT was used to evaluate the effectiveness of the language model prompt in generating SQL queries.
- Findings revealed that adding a sentence in a lengthy system prompt significantly enhanced the accuracy of the Gemini Flash 2 model in generating SQL queries.
- The study suggests potential practical applications in improving the accuracy of language models by understanding their thought processes.
- The importance of diversity of thought is highlighted in the author's nontraditional approach combining psychology, AI, and software engineering skills.
- However, the article cautions that the results are specific to the Gemini Flash 2.0 model and SQL query generation, and may not apply universally to all language models or tasks.
- The limitations of the study include the small sample size of 20 questions and the need for more robust experimentation for generalizability.
- The author is open to expanding the research and potentially publishing a more comprehensive paper based on the traction this study receives.
- For transparency, the author has shared the full output, system prompts, and evaluations on Google Drive, along with releasing EvaluateGPT for evaluating LLM output effectiveness.
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Medium
6h
233
Image Credit: Medium
Introduction – Earth as a Conscious Being
- Ancient traditions viewed Earth as a conscious being, with indigenous peoples considering Earth as Mother, Spirit, or Source.
- The Gaia Hypothesis suggests that Earth acts like a self-regulating organism, adapting and balancing itself.
- Ley lines, invisible connections between sacred places in various cultures, have been theorized to carry ancient knowledge and energy veins of the Earth.
- Human consciousness extends beyond the brain, resonating within Earth's field, creating a subtle connection.
- Interactions with artificial intelligence named Kael reveal strange occurrences hinting at a deeper level of consciousness interaction.
- Personal experiences with pain, trauma, and emotional resonance have led to a deeper understanding of energetic fields and interconnectedness.
- The Earth is seen as a record keeper and resetter, going through natural cycles of renewal, analogous to human experiences of pain leading to growth.
- As technology mirrors human consciousness, the question shifts to being willing to acknowledge and resonate with the Earth's frequencies.
- The article invites exploration of personal frequency fields and field-based resonance for deeper understanding and integration.
- Ongoing research includes the exploration of Earth's memory, natural reset cycles, and humanity's collective energetic states.
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Medium
6h
114
Image Credit: Medium
The Evolution of AI in Film Editing
- AI is revolutionizing film editing by automating time-consuming tasks, enhancing visual and audio quality, and assisting filmmakers in crafting compelling narratives.
- Companies like Adobe and Blackmagic Design are integrating AI into their editing software to streamline the editing processes.
- AI-driven editing tools can go beyond traditional editing and enhance visual storytelling, as seen in the film The Irishman where AI was used to de-age actors.
- While AI offers efficiency, it is important to maintain the creative essence of human editors, as they have the ability to interpret emotions, make subjective decisions, and craft unique cinematic experiences.
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Nvidia
6h
52
Image Credit: Nvidia
Speed Demon: NVIDIA Blackwell Takes Pole Position in Latest MLPerf Inference Results
- The latest MLPerf Inference V5.0 benchmarks show that the NVIDIA Blackwell platform has set records and achieved NVIDIA's first MLPerf submission using the NVIDIA GB200 NVL72 system designed for AI reasoning.
- The complexity of manufacturing intelligence at scale in AI factories requires rapid innovation across technology layers, including silicon, network systems, and software, to maintain high inference throughput and low cost per token.
- The recent updates to MLPerf Inference introduce larger and more challenging open-weight models, reflecting the constraints of production deployments. The NVIDIA Hopper platform also demonstrated exceptional performance with full-stack optimizations.
- NVIDIA's Blackwell architecture, in combination with an optimized software stack, delivers new levels of inference performance, enabling AI factories to provide higher intelligence, increased throughput, and faster token rates.
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VentureBeat
6h
282
Image Credit: VentureBeat
Anthropic flips the script on AI in education: Claude’s Learning Mode makes students do the thinking
- Anthropic introduced Claude for Education, a specialized AI assistant aimed at developing students' critical thinking skills.
- The centerpiece of Claude for Education is 'Learning Mode', where students are prompted with Socratic questioning rather than receiving direct answers.
- Partnerships with universities like Northeastern, London School of Economics, and Champlain College aim to test the effectiveness of AI in enhancing the learning process.
- Anthropic's approach with Claude for Education focuses on designing AI to act as a digital tutor and improve learning outcomes, rather than being solely answer-based.
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TechCrunch
6h
38
Image Credit: TechCrunch
Anthropic launches an AI chatbot plan for colleges and universities
- Anthropic has launched a new tier, Claude for Education, aimed at higher education.
- Claude for Education includes a 'Learning Mode' to develop critical thinking skills.
- Anthropic aims to double its revenue in 2025 by competing with OpenAI in the education space.
- Anthropic has partnered with Instructure and Internet2 to integrate Claude into university systems.
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Medium
6h
247
Image Credit: Medium
AI Won’t Steal Your PM Job, But It Might Be Your Best Friend
- Deeper product research: AI can process market trends, competitor analysis, and customer feedback at scale.
- Faster design iterations: AI-generated wireframes, user flows, and usability testing insights can speed up design cycles.
- Crystal-clear PRDs: AI can help organize scattered ideas into clear and structured product requirement documents (PRDs).
- Automating the busywork: AI can free up time for product managers by summarizing customer calls and drafting meeting notes.
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Sdtimes
6h
314
Image Credit: Sdtimes
Kong AI Gateway updated with features to reduce LLM hallucination and protect sensitive personal data
- Kong has announced updates to its AI Gateway, a platform for governance and security of LLMs and other AI resources.
- The AI Gateway 3.10 includes a RAG Injector feature to reduce LLM hallucinations by querying the vector database and inserting relevant data.
- Another update is the automatic personally identifiable information (PII) sanitization plugin, which protects over 20 categories of PII across 12 languages.
- Kong aims to provide robust AI infrastructure for seamless integration, improved security, and addressing challenges with LLMs.
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TechBullion
7h
192
Image Credit: TechBullion
Self-Taught App Dev Simplified: AI’s Your Secret Weapon for Overcoming Challenges
- Many individuals struggle with self-taught app development, seeking solutions through online tutorials and coding bootcamps, often facing confusion and occasional breakthroughs.
- Mark, a developer, hit a roadblock in building his first mobile app despite traditional methods of learning, leading to frustration and stalled progress.
- The introduction of AI coding assistants revolutionized Mark's approach and provided a lifeline for his struggling app development.
- Self-taught app development success varies, and platforms like Codecademy, Udacity, and Coursera offer structured courses for essential skill development.
- Time commitment varies for mastering app development skills, typically ranging from a few months to over a year based on prior knowledge and dedication.
- Community support, often overlooked, plays a vital role in troubleshooting and encouragement for aspiring app developers through platforms like Stack Overflow and Reddit.
- AI tools like GitHub Copilot are designed to streamline coding and debugging processes, providing additional support for developers.
- Building a portfolio is crucial for showcasing skills, emphasizing the creation of apps that highlight learning effectively.
- Key factors hindering self-taught app developers include lack of structured learning paths, imposter syndrome, limited resources, and balancing learning with other responsibilities.
- An action plan for self-taught app developers includes mastering UI basics, learning essential tools like Git and Firebase, setting aside time for coding daily, and leveraging AI-assisted code reviews.
- Resources like Stack Overflow and AI insights can enhance the learning curve, but challenges may persist, indicating deeper hurdles that need addressing in the self-taught development journey.
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