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Dev
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168
Image Credit: Dev
Stop Waiting, Start Building: My Practical Dive into GitHub Copilot Agent Mode
- The author shares their experience with GitHub Copilot Agent mode in VS Code, motivated by ease of access through their organization's GitHub enterprise account and interest in AI for enhancing engineering practices.
- The Copilot Agent mode offers unique capabilities like planning, running terminal commands, and collaborating on higher-level tasks beyond code completion, enhancing user workflows.
- Through initial experiments, the author found Copilot Agent mode to quickly generate project templates and automate various tasks, showcasing its efficiency and usability.
- Real-world usage included analyzing Jira tickets, implementing features, and sharing successes with colleagues, leading to increased productivity and positive feedback among team members.
- The article emphasizes the importance of prompt engineering, custom instructions, and context management to maximize Copilot's effectiveness for specific project needs and coding standards.
- Managing the context window by storing high-level design decisions in a file and utilizing Model Context Protocol (MCP) for accessing external tools are highlighted as beneficial strategies for Copilot users.
- The author anticipates the evolution of Copilot Agent mode post-beta, foreseeing advanced features, enhanced context handling, and improved user experience for newer developers.
- Overall, the author recommends trying out GitHub Copilot Agent mode for its time-saving benefits, better adoption rates, and ongoing learning opportunities, encouraging readers to explore its potential in coding workflows.
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Dev
1d
74
Image Credit: Dev
Revolutionizing B-Cell Leukemia Treatment: How Cellogen Therapeutics’ 3rd-Generation CAR-T Cell Therapy Offers New Hope
- CAR-T cell therapy has emerged as a groundbreaking treatment for B-cell leukemia.
- Cellogen Therapeutics is developing 3rd-generation CAR-T cell therapy with enhanced efficacy, safety, and long-lasting remission.
- Key benefits of 3rd-generation CAR-T therapy include increased T-cell persistence, greater anti-tumor activity, reduced toxicity, and overcoming tumor escape mechanisms.
- This advanced therapy offers new hope for B-cell leukemia patients by increasing remission rates, providing a potentially curative option, offering a safer alternative, and expanding eligibility.
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The Fintech Times
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86
Image Credit: The Fintech Times
RS2 Urges Banks to Invest in Innovation as 70% of IT Budgets are Spent on Legacy Systems
- As much as 70 per cent of banks’ IT budgets are being consumed by maintaining outdated legacy systems, according to a new whitepaper by RS2.
- Legacy systems pose challenges such as reduced efficiency, rising operational costs, and an inability to deliver superior digital experiences.
- RS2 suggests that adopting AI-powered orchestration layers can enhance existing systems without the need for a full-scale overhaul, enabling banks to allocate investments in innovation and new products.
- AI-driven orchestration layers can optimize banking operations, strengthen fraud detection, provide deep customer insights, streamline compliance, and enhance system reliability.
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Tech Radar
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314
Image Credit: Tech Radar
Is ChatGPT's Studio Ghibli craze a copyright timebomb? Here's the verdict from expert lawyers
- OpenAI's latest generative model, GPT-4o, has been updated to include training on a variety of image styles, leading users to recreate Studio Ghibli's hand-drawn look through images.
- This trend has sparked legal and ethical debates as users generate Ghibli-style images, raising concerns about the usage of such imitations while living artists like Hayao Miyazaki are still active.
- While fan art imitating animation styles is common, the easy replication enabled by GPT-4o has led to questions about the value and originality of the recreated content.
- The potential copyright implications of mimicking Studio Ghibli's style have been discussed, with experts suggesting that while visual style itself may not be copyrighted, its usage could pose legal challenges.
- Expert IP litigators like Chris Mammen emphasize that copyright law doesn't protect ideas or styles, but misrepresentation of AI-generated images as official Studio Ghibli products could lead to trademark and unfair competition issues.
- OpenAI's decision to restrict image generation in the style of living artists reflects the evolving challenges in navigating copyright and IP laws amidst the rapid advancements in AI technology.
- As AI tools like ChatGPT continue to evolve, policymakers are faced with the task of adapting regulations to address the complexities surrounding derivative and generative content creation.
- The debate on legal and ethical implications of AI-generated content like Ghibli-style images continues to push for legal reforms and highlights the need for ongoing refinement of policies in response to real-world use and feedback.
- The intersection of AI, copyright law, and artistic integrity remains a focal point for discussions, reflecting the need for a balancing act between innovation and protection of intellectual property.
- With the rapid advancement of AI technologies like ChatGPT and OpenAI Sora, stakeholders are grappling with the complex issues arising in the realm of intellectual property rights and seeking legal guidance for effective regulation.
- The evolving landscape of AI-generated content presents challenges and opportunities for both creators and regulators, driving the conversation on legal reforms and policy refinements in response to the growing impact of AI tools in creative industries.
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Digitaltrends
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63
Image Credit: Digitaltrends
Anthropic debuts a new version of its Claude AI chatbot for schools
- Anthropic has introduced Claude for Education, a new version of its AI chatbot designed for use in educational environments.
- Claude for Education features a Learning mode, where users are encouraged to reason their way through questions, fostering critical thinking skills.
- The chatbot also provides tools for faculty to provide feedback to students and administrators to analyze enrollment trends.
- Anthropic has partnered with institutions such as Northeastern University and the London School of Economics to make Claude available to students and faculty.
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Geeky-Gadgets
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304
Image Credit: Geeky-Gadgets
How to Use NotebookLM’s New Discover Sources Tool for Faster Research
- Google Labs has introduced “Discover sources,” a new feature in NotebookLM designed to streamline the process of exploring and analyzing topics.
- The feature curates relevant sources from reputable websites, enabling users to quickly gather information and start projects more efficiently.
- Users can input a topic or question, and NotebookLM generates up to 10 relevant sources accompanied by annotated summaries.
- The feature aims to save time, enhance productivity, and provide credible information for research and decision-making.
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Alvinashcraft
1d
210
Dew Drop – April 3, 2025 (#4396)
- Microsoft partners with Anthropic to create official C# SDK for Model Context Protocol.
- Celebrating 50 years of Microsoft with the release of Altair BASIC source code by Bill Gates.
- .NET Conf Focus on Modernization scheduled for April 22-23.
- Web & Cloud Development highlights include Aspire platform, Vonage Video Reference App, and Blazor WebAssembly AOT Compilation.
- Updates on Svelte, AzUrlShortener migration, .NET DateTime to JavaScript Date Ticks, and Jetpack Account Protection.
- WinUI, .NET MAUI & XAML articles cover WPF Excel XLSX Viewer, CodeRush for Roslyn, and IValueConverter usage.
- Visual Studio Hub launched, File Operations in C#, MassTransit v9 announcement, and AutoMapper and MediatR going commercial.
- AI-related topics include GitHub Copilot experiment, Azure DeepSeek-R1 app, and Adobe’s Premiere Pro AI video extender.
- Design, Methodology & Testing articles focus on Measuring Continuous Delivery, Isolator++ v5.1 release, and Design Systems.
- Mobile, IoT & Game Development update on Flutter 2025 roadmap.
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Siliconangle
1d
86
Image Credit: Siliconangle
Global VC funding hits $113 billion in first quarter driven by outsized AI deals
- Global venture capital rebounded sharply in the first quarter of 2025, posting its strongest performance since mid-2022.
- A small set of companies and sectors, particularly artificial intelligence, are capturing an outsized share of investment.
- AI funding reached $59.6 billion, accounting for 53% of global VC activity in the first quarter.
- Late-stage deals reached $81 billion in the first quarter, while early-stage and seed-stage investments declined.
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Medium
1d
214
Image Credit: Medium
Stop Thinking Like a AI Worker. Start Thinking Like a AI System Architect.
- As technology advances, professionals must shift from a task-doer mindset to that of designing systems that accomplish tasks effectively with the help of AI.
- The most valuable individuals are those who design systems that execute tasks, not just those who perform tasks efficiently.
- Professionals need to rethink how they approach tasks and focus on designing systems that utilize AI to handle entire workflows rather than individual tasks.
- Employees are silently creating their automation solutions using AI tools in the workplace, improving efficiency without management's knowledge.
- A new trend of professionals concealing their use of AI tools at work is emerging, indicating a gap between official processes and actual methods.
- Transitioning from a worker to an architect mindset involves creating systems that enhance productivity and efficiency by leveraging AI technology.
- Designing prompt structures and systems can significantly improve task completion times and overall workflow efficiency.
- The competitive advantage lies in designing smarter systems that streamline tasks, rather than personally executing tasks that could be automated.
- Professionals are encouraged to start redesigning their work processes to focus on designing systems and utilizing AI effectively.
- The key is to shift from being a task executor to a system architect in order to thrive in the modern era of advanced technology.
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Eletimes
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26
Image Credit: Eletimes
Keysight Introduces AI Data Center Builder to Validate and Optimize Network Architecture and Host Design
- Keysight Technologies, Inc. introduces Keysight AI Data Center Builder, an advanced software suite that emulates real-world workloads to evaluate the performance of AI training.
- KAI Data Center Builder integrates AI workloads with AI infrastructure components, improving system performance by optimizing hardware design, protocols, architectures, and AI training algorithms.
- The solution allows experimentation with parallelism parameters and provides insights into the impact of communication and network utilization on job completion time and performance.
- Keysight's AI Data Center Builder enables AI operators and infrastructure vendors to validate and optimize AI cluster designs and fine-tune model partitioning schemas, parameters, and algorithms to improve AI workload performance.
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Dev
1d
157
Image Credit: Dev
AI Learns Like Humans: Easier Tasks First Leads to Better Math and Logic Performance
- Research examines staged reinforcement learning approach for enhancing reasoning in LLMs
- Uses difficulty-aware training method that progresses from simple to complex problems
- Introduces DA-SRL (Difficulty-Aware Staged Reinforcement Learning) to improve reasoning
- Shows significant performance gains across multiple reasoning benchmarks
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Medium
1d
266
Image Credit: Medium
The Water Impact of Artificial Intelligence: How Much Water Is Consumed When Querying and…
- Interacting with AI systems consumes water due to cooling systems in data centers, with an average query associated with very low water consumption.
- The exponential growth of AI interactions and image generation could lead to significant water consumption figures in data centers.
- Projections indicate a surge in AI demand in the next 5 to 10 years, highlighting the need for increased efficiency to limit water usage.
- Companies are investing in sustainable cooling technologies to reduce water consumption in data centers and improve water usage effectiveness.
- AI's water consumption, though increasing, is minimal compared to sectors like agriculture, manufacturing, and urban consumption.
- AI benefits various sectors by enhancing efficiency, which can indirectly optimize water use, offsetting its own consumption.
- Besides water consumption, the environmental impact of AI includes energy usage, carbon footprint, and e-waste generation.
- Balancing risks and benefits, advancements in AI's sustainable technologies can mitigate environmental impacts and enhance efficiency in other industries.
- Transitioning toward more efficient and sustainable AI infrastructures is crucial to reducing water and energy footprints while leveraging AI's potential for societal benefits.
- Despite water consumption for AI, the industry's impact is comparatively modest and continually improving through technological advancements.
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Dev
1d
304
Image Credit: Dev
Small AI Model Matches GPT-4's Performance Using High-Quality Training Data
- LeX-Art is a framework for high-quality text generation data synthesis
- Creates LeX-10K dataset with 10,208 expert-level responses across 9 domains
- Trains LeX-1B model (1.3B parameters) that outperforms much larger models
- Achieves GPT-4 level performance on text generation tasks with vastly fewer parameters
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The Verge
1d
255
Image Credit: The Verge
Google’s NotebookLM can now find its own sources
- Google has added a new feature to NotebookLM that allows the AI note-taking tool to find its own web sources.
- Users can now tap the "Discover" button and describe a topic they want to learn more about.
- NotebookLM will search through potential web sources and provide up to ten recommendations with summaries explaining their relevance.
- This is the first of several Gemini-powered NotebookLM features that aim to make it easier for users to find relevant reference materials.
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Dev
1d
78
Image Credit: Dev
AI Breakthrough: Training Vision Models Without Images Cuts Computing Costs by 37x
- Unicorn synthesizes text-only data for training Vision Language Models (VLMs)
- Eliminates need for image generation during training
- Reduces computational cost by 37x compared to methods using synthetic images
- Proves VLMs can learn visual concepts from purely textual data
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