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Medium

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UBT: A Mathematical Revolution

  • UBT's Super-Pi (πs) is a mathematical concept that eliminates the need for dark matter and dark energy.
  • πs is derived by redefining π as a variable and introducing entropy into Einstein's equations.
  • UBT's mathematical approach matches empirical results in gravitational wave anomalies and black hole evaporation.
  • The implications of UBT's findings include potential uses in interstellar communication.

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THE HABIT CONTRACT

  • Wearing a seat belt has become enforceable by law in 49 states and the number of people wearing seat belts has increased significantly over the years.
  • Laws and regulations represent a social contract that shapes our habits by collectively agreeing to abide by certain rules and enforcing them as a group.
  • Creating a habit contract can help individuals hold themselves accountable by committing to a particular habit and establishing consequences if they fail to follow through.
  • Bryan Harris, an entrepreneur from Nashville, Tennessee, used a habit contract to commit to healthy eating and involved his wife and personal trainer as accountability partners.

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Towards Data Science

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Build Your Own AI Coding Assistant in JupyterLab with Ollama and Hugging Face

  • Jupyter AI is a JupyterLab extension for generative AI that works seamlessly in different environments like Google Colaboratory and Visual Studio Code.
  • Setting up Jupyter AI involves creating a new environment, ensuring the latest versions of JupyterLab, and installing the Jupyter AI extension.
  • Jupyter AI supports model providers like Hugging Face and Ollama, offering a variety of models to work with.
  • While Jupyter AI integrates with Hugging Face models directly, Ollama provides a more reliable way to load models locally.
  • Ollama supports downloading and running pre-trained models locally, ensuring flexibility and ease of model usage.
  • You can also load custom models in Ollama by creating a Model File or directly use Hugging Face Hub models through Ollama.
  • Configuring Jupyter AI with a local model via Ollama involves selecting the provider and model ID in the Jupyter AI chat interface.
  • The AI coding assistant enables tasks like code autocompletion, debugging help, and code generation from scratch within JupyterLab.
  • Interact with the AI assistant through the chat sidebar or notebook cells using %%ai magic commands for various coding tasks.
  • Using a local model offers benefits like privacy, reduced latency, and decreased dependence on proprietary model providers with comparable performance.

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Analyticsindiamag

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ChatGPT Use Linked to Increased Loneliness, Finds OpenAI Study

  • Frequent users of ChatGPT who emotionally bond with the AI chatbot are more likely to experience loneliness and social isolation, according to a study by OpenAI and MIT Media Lab.
  • The study found that users who engaged deeply with ChatGPT reported higher loneliness and dependence over time.
  • Increased daily usage of ChatGPT correlated with heightened loneliness and reduced socialization.
  • While voice-based interactions initially appeared beneficial in mitigating loneliness, the advantages diminished at high usage levels, especially with the neutral-tone chatbot.

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Dev

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3169. Count Days Without Meetings

  • The task is to find the count of days when the employee is available for work but no meetings are scheduled.
  • The approach involves merging overlapping meetings and calculating the gaps between these merged meetings.
  • Sort the meetings based on their start times to handle overlaps efficiently.
  • Merge overlapping or adjacent meetings into non-overlapping intervals and calculate the count of days without any meetings.

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HRKatha

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AI in the workplace: The dangerous illusion of neutrality

  • Executives embracing artificial intelligence as a pinnacle of workplace objectivity are dangerously misled.
  • AI implementing companies like Salesforce are perpetuating a myth that algorithms are unbiased, which is false.
  • AI fails to grasp cultural nuances in workplace behavior, exemplified by Indian practices like 'jugaad' and 'adjusting'.
  • AI perpetuates generational stereotypes and lacks the ability to fairly evaluate diverse workplaces.
  • Accountability becomes murky when AI influences hiring, evaluation, and promotion decisions.
  • Human judgment's irreplaceable nature lies in empathy, intuition, and contextual understanding, beyond AI's capabilities.
  • AI evaluation systems in workplaces create a surveillance state, impacting autonomy and creating psychological stress.
  • The framing of AI as benevolent in the workplace can lead to false expectations and undermine trust.
  • Organizations must acknowledge AI's limits while valuing human judgment and cultural understanding in workplace dynamics.
  • Transparent implementation of AI in workplaces, considering cultural contexts and human values, is crucial for balanced integration.
  • By utilizing AI alongside human judgment, workplaces can benefit from technology while preserving the essence of human interactions.

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Analyticsindiamag

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FuriosaAI Rejects $800 Million Acquisition Offer from Meta, Reports

  • Seoul-based AI chip startup FuriosaAI has rejected an $800 million acquisition offer from Meta.
  • The negotiations between the two companies fell apart over disagreements around post-acquisition strategy and organisational structure.
  • FuriosaAI has developed RNGD, an AI chip optimized for Llama 2 and Llama 3, consuming less power than NVIDIA’s H100 GPUs.
  • The acquisition was intended to reduce Meta’s reliance on NVIDIA for AI chips, as the tech giant plans to spend up to $65 billion on AI initiatives in 2025.

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Medium

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Accelerating AI/generative AI with assetization

  • Assetization is crucial for accelerating gen AI projects by reusing assets like code, data, and models.
  • Maintaining digital assets in a central repository enhances efficiency, accelerates development, and fosters innovation.
  • Scaling AI effectively involves assetizing code, insights, and resources to streamline operations and boost productivity.
  • Sharing prompts and pre-configured agents is gaining importance in gen AI projects over technical details of training models.
  • Brix, a solution by QuantumBlack Labs, centralizes assets for discoverability and accessibility in AI projects, reducing operating costs.
  • Reusing assets can accelerate time-to-value, enhance solution quality, and mitigate risks in new GenAI projects.
  • Promoting reuse at scale requires positive incentives, culture changes, and alignment of interests within organizations.
  • A 'choose to use' philosophy, celebrating contributions, and fostering a culture of reuse are essential for sustainable asset reuse.
  • Brix transforms how teams operate by integrating existing storage into a centralized, platform-agnostic solution for better business outcomes.
  • The goal of Brix is to enable organizations to focus on reuse, streamline AI workflows, boost efficiency, and gain a competitive edge.

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Analyticsindiamag

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Infineon Technologies to Establish GCC in Gujarat, Employ  400 Engineers

  • Germany-based semiconductor giant, Infineon Technologies, is set to establish a Global Capability Centre (GCC) in GIFT City, Gujarat.
  • The new facility will employ approximately 400 engineers and is expected to play a crucial role in supporting Infineon's global research and development (R&D) and digital initiatives.
  • The GCC will focus on areas such as semiconductor chip design, product software, information technology, supply chain management, systems, and applications engineering.
  • Infineon's decision to choose Ahmedabad as the location for the new GCC is due to the city's emergence as a growing technology and semiconductor hub.

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Medium

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Why AI Gets Strawberries Wrong: The Paradox of Perfect Logic

  • AI's perfect answers often falter due to its limited understanding.
  • Strawberry's Paradox highlights the complexity of human judgment and decision-making.
  • AI can struggle with tasks that require a deep understanding of context and subjective human values.
  • The revelation challenges the perception of AI as an infallible tool.

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Auto-Tag Sensitive BigQuery Data & Never Touch The UI Again

  • Implementing a data governance policy at an organization level is integral to data security, especially regarding sensitive data.
  • Many individuals will be able to view, query, and manipulate the data throughout its journey.
  • Data engineers focus on data presentation rather than ensuring appropriate access.
  • PaaS vendors like Google Cloud Platform provide tools to define and enforce data governance policies.

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Analyticsindiamag

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Browser Use, an Open Source Alternative to OpenAI Operator, Raises $17 Million

  • Browser Use, a tool that helps AI agents connect with the browser, has raised $17 million in a funding round led by Felicis Ventures.
  • The company, founded by Magnus Müller and Gregor Žunič, aims to build an infrastructure that enables AI to interact with the web like humans.
  • Browser Use's approach involves converting website interfaces into structured text that AI models can process for more efficient and precise interaction.
  • The funding will further accelerate the development of Browser Use's vision in creating a reliable and deterministic solution for AI-web interaction.

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The Impact of Artificial Intelligence on Call Center Jobs: Evolution or Extinction?

  • AI is rapidly automating routine customer service tasks, such as chatbots, voice assistants, and AI-powered IVR.
  • AI is shifting job roles in call centers, automating repetitive tasks while creating new roles in AI management.
  • Call center employees can adapt by developing soft skills, learning AI and automation tools, and transitioning to higher-value roles.
  • The future of call centers is a hybrid model where AI handles routine queries and humans focus on complex issues and personalized interactions.

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AI in Healthcare: Revolutionizing Diagnostics, Drug Discovery & Care

  • AI is transforming healthcare through diagnostics and drug discovery, enhancing patient outcomes with unprecedented accuracy and efficiency.
  • AI algorithms are being used to analyze medical scans, offering a level of precision that was once unimaginable.
  • AI in drug discovery has the potential to accelerate the development of new treatments and reduce costs.
  • AI-powered care systems can provide personalized treatment plans and improve healthcare efficiency.

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Analyticsindiamag

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Accenture Sparks ‘Anxiety’ for Indian IT, But its Impact May Be Short-Lived

  • Accenture reported a revenue decline for Q2, impacted by US government contract uncertainty.
  • Indian IT firms are gearing up to release their financials, with concerns over maintaining growth.
  • The review of federal contracts by the US administration adds challenges for Accenture.
  • Analysts differ on the impact of US policy changes on Indian IT, suggesting initial challenges.
  • Accenture allocates $3 billion for acquisitions amid the revenue slowdown.
  • Forecasted revenue for the next quarter by Accenture is between $16.9 billion and $17.5 billion.
  • Accenture acknowledges trust in generative AI, showcasing growth in cloud, security, and creative divisions.
  • Impact of US government changes on Indian IT remains uncertain, with the industry projected to grow by 6%.
  • Indian IT companies are urged to demonstrate tangible AI-driven revenue amidst slower growth expectations.
  • Despite challenges, Accenture's revenue from generative AI projects continues to show growth and sets a benchmark.

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