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GitHub Unveils Automated Code Scanning and Repair, Driven by Copilot and CodeQL

GitHub has introduced a new public beta feature named "code scanning autofix" for their Advanced Security customers. Powered by GitHub Copilot and CodeQL, the tool is designed to assist developers in rectifying vulnerabilities in a swift and simple manner, tackling the process of application security debt. Code scanning autofix can support over 90% of alert types…

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Microsoft strengthens its influence through the acquisition of Mustafa Suleyman from Inflection.

Mustafa Suleyman, former co-founder of DeepMind and CEO of Inflection AI, has joined Microsoft's Copilot team, less than a year after Inflection raised $1.3 billion. Suleyman, known for his innovative work at Google's DeepMind, will serve as EVP and CEO of Microsoft AI. His appointment, alongside several key members of his Inflection team, was announced…

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Introducing OneGrep: A Start-up DevOps Copilot that Assists Your Team in Lowering Observability Expenses

Software Engineering teams often face significant challenges in managing observability costs and handling incidents, especially when there is a high pace of development. Such difficulties often lead to expensive errors due to inefficient code instrumentation. Additionally, on-call engineers frequently face challenges in incident mitigation, mainly due to the dependence on tribal knowledge and expertise with…

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Anticipating the Transition from GPT-4 to GPT-5: Enhancements in Multimodality, Multilingualism, and Beyond

OpenAI’s development of GPT-5 has garnered considerable interest in the tech community and business sector due to its predicted enhancements over the previous iteration, GPT-4. Notably, GPT-4 made considerable strides toward human-like communication, logical reasoning, and multimodal input processing. As revealed in Lex Fridman's podcast with Sam Altman, GPT-5 is expected to further advance these…

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IBM and Princeton’s AI research introduces Larimar, a unique, brain-based machine learning structure designed to improve Long-lived machines (LLMs) through a disseminated episodic memory.

Enhancing Large Language Models (LLMs) capabilities remains a key challenge in artificial Intelligence (AI). LLMs, digital warehouses of knowledge, must stay current and accurate in the ever-evolving information landscape. Traditional ways of updating LLMs, such as retraining or fine-tuning, are resource-intensive and carry the risk of catastrophic forgetting, which means new learning can override valuable…

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Microsoft’s latest AI-driven Copilot Plugins transform efficiency throughout Office.

Microsoft is taking significant steps to more deeply incorporate artificial intelligence (AI) into the workplace. They have introduced an array of new plugins, collectively known as Copilot, which aim to enhance the user experience across its Office suite of products, including Word, Excel, PowerPoint, and Outlook. The new plugins, which essentially function as a ChatGPT for…

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Agent-FLAN: Transforming AI Through Advanced Broad Language Model Agents + Boosted Performance, Efficiency, and Dependability.

The field of large language models (LLMs), a subset of artificial intelligence that attempts to mimic human-like understanding and decision-making, is a focus for considerable research efforts. These systems need to be versatile and broadly intelligent, which means a complex development process that can avoid "hallucination", or the production of nonsensical outputs. Traditional training methods…

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Stanford and Google AI researchers have developed MELON, an AI method capable of identifying object-focused camera angles completely from the ground up, while also creating a 3D reconstruction of the object.

In the current digital age, reconstructing 3D objects from 2D images is crucial for numerous applications, such as creating 3D models for e-commerce websites and aiding autonomous vehicle navigation. However, computers struggle to imitate the human ability to infer an object's shape from a 2D image without having prior knowledge of the camera poses. This…

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The AI article, a collaborative work of IBM and Princeton, introduces Larimar – an innovative, brain-imitating machine learning structure designed for amplifying LLMs through a dispersed episodic memory.

The refinement of large language models (LLMs) is an essential challenge in the field of artificial intelligence. The major difficulty lies in ensuring that these digital repositories of knowledge stay current and accurate. Traditional ways of updating LLMs, such as retraining or fine-tuning, demand considerable resources and carry the associated risk of catastrophic forgetting, whereby…

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Presenting the Data Interpreter by MetaGPT: Top-of-the-line Open Source Solutions for Data, Based on LLM.

MetaGPT is a multi-agent software system designed to create collaborative entities that can execute complex instructions. The system conceives itself as a “software company as multi-agent system,” signifying the varied nature of the collaborative entities it can formulate. Designed as both a standalone app and a Python scripts library, the software maintains flexibility and control…

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Dusko Pavlovic discusses the scenario of four elephants interacting with chatbots in a room during February 2024.

The article "Language processing in humans and computers: Part 2" by Dusko Pavlovic discusses chatbots, their origins, functioning, and the challenges they face. The author compares chatbots to search engines, both of which are built on web crawlers and process data scraped from the web. Chatbots, unlike search engines, are an interface of a language…

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