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- š¤ Googleās New āAgentic Era of AIā Powered By Gemini 2.0
š¤ Googleās New āAgentic Era of AIā Powered By Gemini 2.0
PLUS: MIT Enables AI to Explain Itself in Plain English, Fifth Day of ā12 Days of OpenAIā Event
Welcome back AI enthusiasts!
In todayās Daily Report:
āļøGoogleās New āAgentic Era of AIā Powered By Gemini 2.0
šFifth Day of ā12 Days of OpenAIā Event
šļøMIT Enables AI to Explain Itself in Plain English
š Trending Tools
š°Funding Frontlines
š¼Whoās Hiring?
Read Time: 3 minutes
šRECENT NEWS
āļøGoogleās New āAgentic Era of AIā Powered By Gemini 2.0
Image Source: Google DeepMind/āGemini 2.0: Built for the Agentic Eraā/Screenshot
Google introduced Gemini 2.0 and showcased the companyās new āagentic era of AIā through Jules, Project Astra, and Project Mariner.
Key Details:
Gemini 2.0: Googleās most capable AI model yet that can understand and generate various forms of content, including text, image, audio, video, and code.
Jules: Integrates with a developerās GitHub workflow to offer inline code suggestions, fix coding bugs, and prepare pull requests.
Project Astra: Understands the world around you by using cameras on the Pixel 9, Pixel 9 Pro, or Pixel 9 Pro XL to locate missing glasses and review code.
Project Mariner: Takes control of your Google Chrome browser through a Chrome extension to order food from a restaurantās website or fill out a spreadsheet on Google Sheets.
Why Itās Important:
Gemini 2.0 will support AI agents that autonomously take action, adapt in real-time, and solve multi-step problems.
āIf Gemini 1.0 was about organizing and understanding information, Gemini 2.0 is about making it much more useful,ā said Google CEO Sundar Pichai.
š©ŗ PULSE CHECK
Would you let AI agents plan your entire workweek, from meetings to breaks?Vote Below to View Live Results |
OPENAI
šFifth Day of ā12 Days of OpenAIā Event
Image Source: Stephen Robles/YouTube/āiOS 18.2 is OUT with 15+ BIG New Features! Visual Intelligence, ChatGPT, Image Playgroundsā/Screenshot
OpenAI showcased three ChatGPT integrations with Apple Intelligence during the fifth day of the ā12 Days of OpenAIā event.
Key Details:
The ā12 Days of OpenAIā event involves 12 livestreams across 12 days of āa bunch of new things, big and small.ā
Apple is rolling out the second wave of Apple Intelligence, a new suite of AI tools built directly into iOS 18.2, iPadOS 18.2, and macOS Sequoia 15.2.
Hereās a concise breakdown of the three ChatGPT integrations:
Siri + ChatGPT: Siri can utilize ChatGPT to access ābroader world knowledgeā when answering questions.
Writing Tools: Rewrites, proofreads, and summarizes text across apps. For example, ChatGPT can adjust your tone (e.g., concise, friendly, or professional).
Camera Control: ChatGPT can see, hear, and speak to quickly learn more about the places and objects around you.
Why Itās Important:
ChatGPTās āLive Cameraā feature would allow the conversational chatbot to process real-time video from any Apple deviceās camera.
These ChatGPT integrations with Apple Intelligence enable the conversational chatbot to see, engage, and take action across apps. It feels like OpenAIās gearing up to deploy AI agents.
šØWatch the three ChatGPT integrations in action here.
AI RESEARCH
šļøMIT Enables AI to Explain Itself in Plain English
Image Source: Canvaās AI Image Generators/Magic Media
Researchers at the Massachusetts Institute of Technology (MIT) introduced āEXPLINGO,ā an AI system that translates Complex AI Explanations into easy-to-understand summaries.
AI models are often referred to as āBlack Boxesā that require large amounts of high-quality datasets and computational resources. So, what does that mean? While AI models excel at generating outputs, we donāt always understand the internal workings that lead to generating those outputs.
To solve this issue, developers designed methods to identify patterns representing specific concepts within AI models. For example, OpenAI designed the āScaling and Evaluating Sparse Autoencodersā method, where an autoencoder efficiently compresses (i.e., encodes) input data and then reconstructs (i.e., decodes) that compressed input data. However, these Complex AI Explanations are filled with technical jargon thatās difficult for non-experts to understand.
āEXPLINGOā helps non-experts make sense of these Complex AI Explanations through a NARRATOR and a GRADER:
NARRATOR: Uses a Large Language Model (LLM) to turn technical jargon into easy-to-understand summaries.
GRADER: Evaluates the easy-to-understand summaries across four metrics: coherence, completeness, factuality, and style adherence.
š TRENDING TOOLS
šRemento turns spoken words into a keepsake book.
š„¾Mentor breaks down your goals into actionable tasks.
š£ļøAftercare creates AI-powered surveys that optimize user feedback.
š„Supabase offers storage, databases, and edge functions to build applications.
š±Zebracat turns boring audio into viral videos for TikTok, YouTube, and Instagram.
š®Browse our always Up-To-Date AI Tools Database.
š°FUNDING FRONTLINES
Astrix Security raises a $45M Series B to address AI-enabled security blind spots.
Exabits lands a $15M Seed Round to āfinancializeā AI compute by tokenizing enterprise-grade GPUs.
Hyperbolic closes a $12M Series A to provide accessible, affordable, and scalable computing power for AI applications.
š¼WHOāS HIRING?
Adobe (San Francisco, CA): Data Science Intern, Summer 2025
Amazon (Seattle, WA): Solutions Architect Intern, Summer 2025
Mind Company (San Francisco, CA): Software Engineering Intern, Summer 2025
Scale AI (San Francisco, CA): Frontier Reasoning Intern, Machine Learning (ML), Summer 2025
NVIDIA (Santa Clara, CA): Infrastructure Software Engineer, Deep Learning (DL) Libraries, New College Grad 2024
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šFINAL NOTE
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