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Nov 27, 2024
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385 archived articles (Page 4 of 20)

GenAI suffers from data overload, so companies should focus on smaller, specific goals

GenAI suffers from data overload, so companies should focus on smaller, specific goals

November 3, 2024: Focus on Small Goals for GenAI Success - At TechCrunch Disrupt 2024, experts including Chet Kapoor and Vanessa Larco emphasized prioritizing specific, manageable goals in generative AI, rather than attempting large-scale implementations. Companies should focus on practical, incremental progress and tackle present issues by carefully selecting applicable data. This strategic approach contrasts with trying to apply AI broadly across organizations, which risks costly inefficiencies. Kapoor highlighted this as an Angry Birds era of AI, suggesting foundational groundwork now will lead to transformational applications in the future.

MIT debuts a large language model-inspired method for teaching robots new skills

MIT debuts a large language model-inspired method for teaching robots new skills

November 2, 2024: MIT Advances Robot Training with LLM Approach - MIT researchers unveiled a novel method for teaching robots by emulating large language models, using extensive data to improve adaptability. This approach, termed Heterogeneous Pretrained Transformers (HPT), integrates diverse environmental and sensory information, offering a more robust solution than traditional imitation learning, especially when facing variable conditions. The ultimate goal is to create a universal robot brain applicable without additional training, reminiscent of breakthroughs achieved with large language models. Supported by Toyota Research Institute, this development is part of a broader effort to harmonize robotic learning advancements with platforms like Boston Dynamics hardware.

Microsoft and a16z set aside differences, join hands in plea against AI regulation

Microsoft and a16z set aside differences, join hands in plea against AI regulation

November 1, 2024: Microsoft and a16z Unite Against AI Regulation - Microsoft and Andreessen Horowitz have united to oppose Californias proposed AI regulation, SB 1047, claiming it would harm startups despite protections. They advocate for a federal approach favoring market-based solutions and reactive measures against AI misuse, while opposing strict IP laws. Their push seeks to minimize regulations, allowing tech companies freedom over data usage. Although they support positive actions like digital literacy, these serve as distractions from their core aim: reducing regulation to protect profits and maintain control over AI developments.

Perplexity launches an elections tracker

Perplexity launches an elections tracker

November 1, 2024: Perplexity Debuts AI-Driven Elections Tracker - Perplexity, an AI-powered search engine, has launched a dedicated hub for tracking U.S. general election information. The platform provides live updates and answers election-related questions using data from The Associated Press and Democracy Works. While other AI services avoid election topics due to misinformation risks, Perplexity aims to offer accurate, AI-summarized analyses on candidates and policies. However, concerns linger given AIs history of inaccuracies in handling election data, as highlighted by studies revealing incorrect information from major chatbots when queried about elections.

Chinese military researchers reportedly used Meta AI to develop defense chatbot

Chinese military researchers reportedly used Meta AI to develop defense chatbot

November 1, 2024: Chinese Military Utilizes Meta AI for Defense - Chinese military researchers, linked to the Peoples Liberation Army, reportedly used Metas Llama 2 AI model to develop a defense-focused chatbot named ChatBIT. This tool is designed for intelligence gathering and operational decision-making. Meta stated that the use of its AI model was unauthorized and violated its acceptable use policy. The development highlights Chinas interest in leveraging open AI models for military applications, sparking further debate on the risks of open AI technologies.

ChatGPT: Everything you need to know about the AI-powered chatbot

ChatGPT: Everything you need to know about the AI-powered chatbot

November 1, 2024: ChatGPT Expands, Faces Challenges in 2024 - ChatGPTs popularity surged, collaborating with Apple and integrating GPT-4o with Siri. OpenAI faced internal upheaval with executive resignations and legal issues, including copyright lawsuits from major news outlets. GPT-4os voice features faced controversy over alleged imitation of Scarlett Johansson. OpenAI pursued partnerships, including with TIME and Reddit, and focused on developing in-house AI chips by 2026. Despite infrastructure challenges, OpenAI launched features like ChatGPT Search and Advanced Voice Mode, while exploring safety mechanisms and public input integration. ChatGPTs user base, especially in enterprises, continues to grow despite these hurdles.

OpenAI launches its Google challenger, ChatGPT Search

OpenAI launches its Google challenger, ChatGPT Search

October 31, 2024: OpenAI Unveils ChatGPT Search - OpenAI has launched ChatGPT Search, an advanced search feature within the ChatGPT platform, leveraging a fine-tuned GPT-4 model to deliver timely answers from various online sources. It provides web-sourced information with links for further queries and in-line and sidebar attributions. Initially available to ChatGPT Plus and Team users, the service is expanding to enterprise, educational, and eventually free users. By collaborating with publishers, OpenAI aims to refine search relevance, focusing on shopping and travel enhancements. Concerns about AI-generated content impacting publisher traffic persist.

Microsoft’s agentic AI tool OmniParser rockets up the open source charts

Microsoft’s agentic AI tool OmniParser rockets up the open source charts

October 31, 2024: OmniParser Takes Open Source AI by Storm - Microsofts OmniParser, an open-source model that converts screenshots into data understandable by vision-language models, has surged in popularity on Hugging Face. Released this month, it helps AI interact with GUIs by detecting and understanding elements like buttons and text. Utilizing models like YOLOv8, BLIP-2, and GPT-4V, it excels in parsing screens for tasks such as form-filling. While OmniParser faces challenges, such as icon differentiation and text extraction accuracy, its open-source nature encourages community-driven enhancements, distinguishing it from competitors like Anthropics Computer Use and Apples Ferret-UI.

Google brings grounding with search to Gemini in AI Studio and API

Google brings grounding with search to Gemini in AI Studio and API

October 31, 2024: Google Enhances AI Accuracy with Search Grounding - Google has introduced grounding for its Gemini AI models via Google Search, enhancing response accuracy and relevance. This feature, available in AI Studio and the Gemini API, incorporates current data from search results into AI responses. Grounding helps reduce outdated information and hallucinations by supplementing AI output with contextual and factual links. Developers can configure groundings activation based on query relevance, although it may slow response times. Free testing is offered in AI Studio, while the APIs paid tier costs $35 per 1,000 grounded queries.

OpenAI turns ChatGPT into a search engine, aims directly at Google

OpenAI turns ChatGPT into a search engine, aims directly at Google

October 31, 2024: OpenAI Transforms ChatGPT into Google Rival - OpenAI has upgraded ChatGPT into a search engine, challenging Googles dominance by delivering real-time answers with clear source attribution. Initially available to paid subscribers, the feature will soon expand to free users. The search engine uses a special version of GPT-4o, offering curated responses from significant news partnerships. OpenAIs strategic push includes developing custom AI chips, aiming for technological independence and reduced computing costs. While Google still leads, ChatGPTs conversational interface signifies a potential shift in how information is found online.

OpenAI adds large language model-powered search engine to ChatGPT

OpenAI adds large language model-powered search engine to ChatGPT

October 31, 2024: OpenAI Integrates LLM-Powered Search in ChatGPT - OpenAI has introduced a new search engine in ChatGPT, enhancing its ability to deliver direct, natural language answers instead of linking webpages. This tool, initially tested as SearchGPT, complements existing AI search features like Googles AI Overviews. It utilizes a customized GPT-4o model, optimized with synthetic data and model distillation. Currently available to paid subscribers, it will expand to free users in the future. The success of ChatGPT search depends on its unique, user-friendly approach to enhancing the search experience.

Google Maps is getting new AI features powered by Gemini

Google Maps is getting new AI features powered by Gemini

October 31, 2024: Google Maps Unveils Gemini-Powered AI Updates - Google Maps introduces AI features powered by Gemini, enhancing navigation in the U.S. with lane guidance and interactive location recommendations. Users can now ask Maps for activity ideas, like things to do with friends at night, and receive curated suggestions. Enhanced navigation displays lanes, signs, and nearby attractions clearly. The platform also aids with parking, weather updates, and provides walking directions. Google Maps Immersive View expands to 150 cities, offering 3D models in locations like Brussels, Kyoto, and Frankfurt. Updates aim to improve the user experience and compete with rival navigation services.

Google’s Gemini API and AI Studio get grounding with Google Search

Google’s Gemini API and AI Studio get grounding with Google Search

October 31, 2024: Googles Gemini Enhances AI with Search Grounding - Googles Gemini API and AI Studio now offer prompt grounding with Google Search for more accurate AI responses. Developers can test this feature for free or pay $35 per 1,000 queries on the paid tier. Grounding aids in reducing AI hallucinations by connecting models with real-time data and sources. Users can adjust grounding frequency with dynamic retrieval settings. Google emphasizes transparency by providing links to sources, ensuring publisher credit and user trust. AI Studio has evolved into a powerful tool guiding developers from testing to building applications.

Apple announces M4 Max chip, debuting on the MacBook Pro

Apple announces M4 Max chip, debuting on the MacBook Pro

October 30, 2024: Apple Unveils M4 Max Chip for MacBook Pro - Apple announced the M4 Max chip, debuting in the latest MacBook Pro, as part of their refreshed M-series lineup. Built on second-gen 3-nanometer architecture, the M4 Max supports Thunderbolt 5 for doubled transfer speeds compared to Thunderbolt 4. Additionally, it features a Neural Engine with double the speed of the M3. Following the M4 Pro announcement and its debut in the new Mac mini, the M4 Max is now available for preorder, with shipments beginning November 8.

Diffblue raises $6.3M for autonomous AI-powered test generation platform

Diffblue raises $6.3M for autonomous AI-powered test generation platform

October 30, 2024: Diffblue Secures $6.3M for AI Test Automation - Diffblue Ltd. has raised $6.3 million to enhance its AI-powered unit test generation platform for Java, Diffblue Cover. This funding round, an extension of their Series A, included existing investors and new participation from Citigroup. Diffblues platform uses reinforcement learning to automate test generation, offering a faster, error-free alternative to traditional methods. The companys machine learning models ensure privacy and security by operating entirely on-premises. With prominent customers like Citigroup and AstraZeneca, Diffblue aims to improve software development efficiency and will soon release a more accessible product version.

Perplexity’s CEO punts on defining ‘plagiarism’

Perplexity’s CEO punts on defining ‘plagiarism’

October 30, 2024: Perplexity CEO Dodges Plagiarism Definition Amid Lawsuits - During a TechCrunch interview, Perplexity CEO Aravind Srinivas declined to define plagiarism as the company faces legal challenges over content use. Despite citing sources, Perplexity is accused of closely replicating media content, with Dow Jones and The New York Post filing lawsuits. Srinivas emphasized Perplexitys aim to summarize content for user comprehension and denied its use for paywalled articles. As the platform grows, Srinivas envisions a future with universal access to facts, challenging traditional content ownership. The company is reportedly raising funds at an $8 billion valuation.

OpenAI working with Broadcom and TSMC to develop custom AI inference chip

OpenAI working with Broadcom and TSMC to develop custom AI inference chip

October 30, 2024: OpenAI Partners for Custom AI Inference Chips - OpenAI is collaborating with Broadcom and TSMC to develop a custom AI inference chip, aiming to diversify chip supply and reduce costs. Initially considering in-house foundries, OpenAI pivoted to focusing on in-house chip design while leveraging partner expertise for manufacturing. The new chips will optimize AI model inference, which requires speed and efficiency over raw computational power, unlike Nvidia GPUs used for training. As AI demand grows, creating specialized chips will help OpenAI tailor infrastructure to technical and budget needs, aligning with industry trends toward custom, efficient hardware for AI workloads.

AI contact center provider Regal closes $40M round to scale personalized customer interactions

AI contact center provider Regal closes $40M round to scale personalized customer interactions

October 30, 2024: Regal Raises $40M to Enhance AI Customer Interactions - AI contact center provider Regal Voice Inc. secured $40 million to advance its AI Phone Agents, focusing on personalized, human-centric customer interactions. Unlike traditional one-size-fits-all models, Regal uses generative AI to tailor communications based on real-time customer intent, improving satisfaction in industries like healthcare, insurance, and education. The platform supports complex service needs with features like journey builders and system integrations. Handling over 10 million interactions monthly, Regal aims to offer high-quality, personalized, and cost-effective customer experiences with this funding. Total funding now stands at $83 million.

Salesforce launches Agentforce AI agent platform into general availability

Salesforce launches Agentforce AI agent platform into general availability

October 29, 2024: Salesforce Unleashes Agentforce AI for Enterprises - Salesforce has released Agentforce, a platform enabling businesses to create autonomous AI agents to enhance employee productivity. These customizable agents, accessible with low-code or no-code tools, integrate with company data to automate tasks across sales, service, marketing, and commerce. Partnering with firms like Accenture and Deloitte, Salesforce aims to simplify AI integration and offers a free trial through Salesforce Foundations. Early users like Wiley and BACA Systems report significant efficiency improvements, highlighting Agentforces capacity to revolutionize enterprise AI deployment without extensive customization or engineering input.

GitHub’s Copilot comes to Apple’s Xcode

GitHub’s Copilot comes to Apple’s Xcode

October 29, 2024: GitHub Copilot Now Supports Apple Xcode - GitHubs Copilot is now available in Apples Xcode, marking its first introduction to this IDE. In public preview, Xcode developers can leverage Copilot for code completion, with plans to integrate features like Copilot Chat. Copilot supports Swift and Objective-C, enabling multi-line suggestions and blocking public code matches. All paying Copilot users can access the public beta via an Xcode extension. Other updates include Copilot Chat editing multiple files, enhanced code review, and Copilot Extensions remaining in preview, set to release in 2025 for custom integrations.