News from the AI & ML world
DeeperML - #codegeneration
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@www.marktechpost.com
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Windsurf, an AI coding startup reportedly on the verge of being acquired by OpenAI for a staggering $3 billion, has just launched SWE-1, its first in-house small language model specifically tailored for software engineering. This move signals a shift towards software engineering-native AI models, designed to tackle the complete software development workflow. Windsurf aims to accelerate software engineering with SWE-1, not just coding.
The SWE-1 family includes models like SWE-1-lite and SWE-1-mini, designed to perform tasks beyond generating code. Unlike general-purpose AI models adapted for coding, SWE-1 is built to address the entire spectrum of software engineering activities, including reviewing, committing, and maintaining code over time. Built to run efficiently on consumer hardware without relying on expensive cloud infrastructure, the models offer developers the freedom to adapt them as needed under a permissive license. SWE-1's key innovation lies in its "flow awareness," which enables the AI to understand and operate within the complete timeline of development work. Windsurf users have given the company feedback that existing coding models tend to do well with user guidance, but over time tend to miss things. The new models aim to support developers through multiple surfaces, incomplete work states and long-running tasks that characterize real-world software development. Recommended read:
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info@thehackernews.com (The@The Hacker News
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Google is significantly ramping up its efforts to combat online scams through the integration of advanced AI technologies across various platforms, including Search, Chrome, and Android. The company's intensified focus aims to safeguard users from the increasing sophistication of cybercriminals, who are constantly evolving their tactics. Google's strategy centers around deploying AI-powered defenses to detect and block fraudulent activities in real-time, providing a more secure online experience.
AI is now central to Google's anti-scam strategy, with the company reporting a substantial increase in its ability to identify and block harmful content. Recent updates to AI classifiers have enabled Google to detect 20 times more scam pages than before, leading to a significant improvement in the quality of search results. Notably, the AI systems have proven effective in targeting specific scam types, such as those impersonating airline customer service providers, where dedicated protections have reduced related attacks by over 80%. The Gemini Nano LLM will soon expand to Android devices as well. Beyond Search, Google is extending its AI-driven security measures to Chrome and Android to provide comprehensive protection across multiple surfaces. Chrome's Enhanced Protection mode now utilizes Gemini Nano, an on-device AI model, to instantly identify scams, even those previously unseen. Android devices will also benefit from AI warnings that flag suspicious website notifications and scam detection in Google Messages and Phone, bolstering defenses against deceptive calls and texts. This multi-layered approach demonstrates Google's commitment to staying ahead of scammers and ensuring a safer digital environment for its users. Recommended read:
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info@thehackernews.com (The@The Hacker News
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Google is integrating its Gemini Nano AI model into the Chrome browser to provide real-time scam protection for users. This enhancement focuses on identifying and blocking malicious websites and activities as they occur, addressing the challenge posed by scam sites that often exist for only a short period. The integration of Gemini Nano into Chrome's Enhanced Protection mode, available since 2020, allows for the analysis of website content to detect subtle signs of scams, such as misleading pop-ups or deceptive tactics.
When a user visits a potentially dangerous page, Chrome uses Gemini Nano to evaluate security signals and determine the intent of the site. This information is then sent to Safe Browsing for a final assessment. If the page is deemed likely to be a scam, Chrome will display a warning to the user, providing options to unsubscribe from notifications or view the blocked content while also allowing users to override the warning if they believe it's unnecessary. This system is designed to adapt to evolving scam tactics, offering a proactive defense against both known and newly emerging threats. The AI-powered scam detection system has already demonstrated its effectiveness, reportedly catching 20 times more scam-related pages than previous methods. Google also plans to extend this feature to Chrome on Android devices later this year, further expanding protection to mobile users. This initiative follows criticism regarding Gmail phishing scams that mimic law enforcement, highlighting Google's commitment to improving online security across its platforms and safeguarding users from fraudulent activities. Recommended read:
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@www.pcworld.com
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Entrepreneur
, PCWorld
Microsoft CEO Satya Nadella revealed that a significant portion of the company's new code is being written by artificial intelligence. Nadella stated at Meta's LlamaCon conference that approximately 20% to 30% of Microsoft's code is now generated by AI. This marks a significant shift in software development practices, with AI tools becoming increasingly integrated into the coding process. He also noted the increased usage of AI agents for code reviews, highlighting AI's role in enhancing efficiency and productivity within the company's software engineering workflows.
This trend isn't exclusive to Microsoft. Google CEO Sundar Pichai has also indicated that a substantial percentage of Google's new code is being written by AI, exceeding 30%. Meta, under the leadership of Mark Zuckerberg, is also aggressively pursuing AI-driven software development, with plans to have AI handle half of its software development within the next year. These developments signify a broader industry movement towards leveraging AI to automate and augment coding tasks, transforming how software is created. The rise of AI in code development and review has significant implications for software engineers. While some experts, like Microsoft CTO Kevin Scott, predict that AI could write as much as 95% of code within the next five years, others view it as an opportunity to enhance productivity and focus on more complex, creative tasks. The transition to AI-assisted coding requires software engineers to adapt and learn how to effectively collaborate with AI tools. These technologies, like Microsoft's Copilot, powered by OpenAI's ChatGPT, are increasingly vital for businesses aiming to drive innovation and efficiency through AI-driven solutions. Recommended read:
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@blogs.microsoft.com
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ai fray
, The Microsoft Cloud Blog
Microsoft is expanding its digital commitments to Europe, focusing on open access to AI and cloud infrastructure. The company's efforts are aimed at fostering mutual economic growth and prosperity across the Atlantic, and they emphasize the importance of sustaining customer trust. This initiative includes datacenter operations across 16 countries and a Digital Resilience Commitment, promising to stand by European customers regardless of geopolitical shifts. Microsoft’s commitment signals a willingness to fight for its European customers in U.S. courts if necessary, drawing on a history of prior legal actions when deemed essential.
Satya Nadella, Microsoft CEO, revealed that AI is now responsible for a significant portion of the company's code. AI writes between 20% and 30% of the code in Microsoft's repositories and projects. This advancement highlights the transformative impact of AI on software development, enhancing efficiency and cutting down on entry-level jobs by automating repetitive tasks. Microsoft is observing that AI produces better results with Python code compared to C++, primarily due to Python's simpler syntax and dynamic typing style. Microsoft is also enhancing its AI Access Principles, ensuring open access to its AI and cloud platform across Europe. While there are differing opinions on the sufficiency of these commitments to achieve a "sovereign Europe," the tech community generally acknowledges Microsoft's efforts. Some believe government-funded European Digital Public Infrastructure is needed, while others feel Microsoft deserves credit for its initiatives. The company hopes that ongoing talks can resolve tariff issues and reduce non-tariff barriers, aligning with the recommendations in the recent Draghi report. Recommended read:
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Harsh@Composio
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Composio
, Windows Copilot News
The integration of Artificial Intelligence (AI) into coding and software development is rapidly evolving, sparking both excitement and ethical considerations. GitHub's COO, Kyle Daigle, recently discussed the impact of AI-assisted coding, highlighting tools like GitHub Copilot and the potential of ambient AI to seamlessly integrate into developer workflows. The discussion included licensing concerns and the importance of developers understanding and navigating the ethical complexities that arise with AI-driven development. This comes as developers are exploring AI Agents SDK, a framework that simplifies the creation of multi-agent systems.
The appeal of AI in development is further underscored by the comparison of Agents SDK with alternatives like LangGraph, Autogen, and CrewAI. Each framework offers unique strengths, with Agents SDK focusing on simplicity and production readiness, while LangGraph excels in complex workflows. However, amidst the enthusiasm, ethical considerations are surfacing, most notably the controversy surrounding OpenAI employees questioning the company's military deal with startup Anduril, raising concerns about the potential misuse of AI and its impact on OpenAI's reputation. This highlights the ongoing debate about the ethical boundaries of AI development and deployment, particularly in sensitive areas like defense and healthcare. Recommended read:
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