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- ⚡🔋🧠 Google Gemini Adds Memory Feature for Personalized AI Responses
⚡🔋🧠 Google Gemini Adds Memory Feature for Personalized AI Responses
And more: OpenAI Accidentally Deletes Data in NYT Copyright Investigation; LinkedIn Adds AI-Powered Lead Summaries to Sales Navigator
Supercharged With AI
November 21, 2024
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Good morning aspiring leaders of the next gen!☀️
🚀 Here is what you are going to find in The Supercharged today:
Google's Gemini now has memory powers. Your AI's getting an elephant's recall! 🐘💭
Chinese lab drops AI model to challenge OpenAI. The reasoning race heats up! 🇨🇳🏃♂️
OpenAI accidentally deletes lawsuit evidence. Oops, wrong file! 🗑️😅
PSA: Keep those medical pics away from AI chatbots. Your X-rays aren't for robot eyes! 🏥⚠️
UK drops out of supercomputer elite club. British computing power gets humbled! 🇬🇧📉
AI scaling is hitting the wall. More compute ≠ more smarts! 📊🤔
Converge Bio bags $5.5M for biotech LLMs. DNA meets AI! 🧬💰
Four Growers building robot farmhands. Green thumbs are going digital! 🌱🤖
Odoo rides open source wave to $5.26B valuation. ERP never looked so sexy! 📈✨
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Google's Gemini AI Can Now Remember Things You Tell It
Google has unveiled a significant upgrade to its Gemini AI platform by introducing a new memory feature, allowing the AI to retain and utilize personal information and preferences across conversations. This development marks a notable advancement in creating more personalized and efficient AI interactions.
Technical Features and Implementation
The memory feature enables users to share personal details and preferences that Gemini will incorporate into future responses. For instance, users can specify dietary restrictions, preferred coding languages, or communication preferences, and the AI will automatically consider these parameters in subsequent interactions. The system can handle complex instructions, such as always providing multiple subject line options for emails or including language translations with responses.
In a practical demonstration shared by Google, the AI showed its ability to consistently apply user preferences across different tasks. When instructed to always provide multiple subject lines for emails, Gemini faithfully incorporated this requirement in subsequent email composition tasks, demonstrating the system's ability to maintain continuity in user interactions.
Availability and Market Position
The feature is currently available exclusively to Gemini Advanced subscribers, who pay $20 per month for the service. Initially, the rollout is limited to English-language users and is only accessible through the web version of Gemini, with mobile app integration planned for future updates.
This development puts Google's AI offering on par with OpenAI's ChatGPT, which introduced similar memory capabilities earlier this year. However, unlike ChatGPT, which makes its memory feature available to free users, Google has chosen to restrict this functionality to paid subscribers, potentially positioning it as a premium feature.
The implementation reflects Google's broader strategy to enhance user experience through personalization. According to Google's release update, the feature aims to "empower users to shape Gemini and unlock new levels of efficiency and creativity" by providing more consistent and predictable results without the need to repeatedly specify preferences or context.
The memory system offers various practical applications, from simple customizations like avoiding specific ingredients in recipe suggestions to more complex requirements such as controlling technical jargon levels or response formats. This flexibility makes the feature valuable for both casual users and professionals requiring consistent AI assistance.
Google emphasizes user control over stored data, addressing potential privacy concerns. Users can manage what information Gemini remembers and modify or delete preferences as needed, maintaining transparency and control over their data.
Looking ahead, this feature could significantly impact how users interact with AI assistants, potentially setting new standards for personalized AI interactions. The ability to maintain context and preferences across conversations represents a step toward more natural and efficient human-AI collaboration.
The memory feature's introduction signals Google's commitment to developing more sophisticated and user-centric AI tools, while also highlighting the growing competition in the AI assistant market. As these systems become more personalized and context-aware, they could increasingly integrate into users' daily workflows and professional tasks.
For developers and professionals, this advancement offers new possibilities in workflow automation and consistent AI assistance, while casual users benefit from more personalized and relevant AI interactions. The feature's evolution could influence how other AI platforms approach personalization and user experience design.
A Chinese lab has released a ‘reasoning’ AI model to rival OpenAI’s o1
DeepSeek, a Chinese AI research company, has launched DeepSeek-R1, a reasoning AI model designed to compete with OpenAI's o1. Like o1, the model uses test-time computing to think through tasks before responding, taking up to tens of seconds to answer complex questions. While DeepSeek-R1 reportedly performs well on AI benchmarks AIME and MATH, it has limitations including vulnerability to jailbreaking and restrictions on politically sensitive topics due to Chinese regulations. The model's release comes as major AI labs face diminishing returns from traditional scaling approaches, leading to a new focus on test-time computing. DeepSeek, backed by hedge fund High-Flyer Capital Management, plans to open-source the model and release an API.
New Decentraland desktop client for Mac and Windows
Enhanced avatars and social interactions
Improved performance and upgraded environments
New features: badges, daily quests, and mini-games
OpenAI accidentally deleted potential evidence in NY Times copyright lawsuit
OpenAI engineers accidentally deleted search data stored on a virtual machine being used by The New York Times and Daily News lawyers to investigate copyright infringement claims. While most data was recovered, the loss of folder structure and file names means investigators cannot determine how the publishers' content was used in OpenAI's model training. The publishers' legal team, which has spent over 150 hours searching training data since November 1, must now recreate their work. While maintaining that training on public data is fair use, OpenAI has recently signed licensing deals with several publishers including AP, Axel Springer, and News Corp, with one partner reportedly receiving at least $16 million annually.
📔#1 Insights Today on AI. Click the Links to Read
PSA: You shouldn’t upload your medical images to AI chatbots
UK crashes out of global top 50 supercomputer ranking
Current AI scaling laws are showing diminishing returns, forcing AI labs to change course
Converge Bio’s ‘everything store’ for biotech LLMs brings in $5.5M seed
YC-backed Four Growers builds robots to help solve greenhouse labor shortages
Riding high on open source ERP, Odoo raises $527M via secondaries, lifting its valuation to $5.26B
💰💼 Which Interactive AI Workshop Would You Like to Join? Join us for a hands-on session where you'll learn to implement AI tools in your businessWould you join us for a hands-on session where you'll learn to implement AI tools in your business? |
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Do you have a business problem keeping you up at night? Here’s your chance to get it solved! Share your most staggering challenges with us, and I’ll use the power of AI to find solutions tailored just for you. I’ll feature the answers in one of our upcoming Supercharged issues—let’s tackle it together!
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AI is not just about creating faster computers or smarter algorithms; it's about developing new frameworks for understanding collective intelligence. It shows us how different forms of intelligence can work together to solve problems in ways neither could achieve alone.
Edith Law is an Associate Professor at the David R. Cheriton School of Computer Science at the University of Waterloo, leads the Augmented Intelligence Lab, and co-directs the Human Computer Interaction Lab.
How Would You Prefer to Learn AI Skills?We want to provide our hands-on AI tutorials in the format that works best for you |
⬆️ ️ Trends: How Businesses Implement AI
LinkedIn is taking business networking to the next level with the introduction of new AI-powered features in its Sales Navigator platform. The company has unveiled "Lead IQ," a sophisticated tool that provides instant, comprehensive summaries of potential business contacts, streamlining the process of building meaningful professional connections.
The new feature acts as a digital research assistant, condensing LinkedIn data into actionable insights about a prospect's experience, achievements, interests, and activities. With just one click, users can access a curated overview that helps them prepare for meetings or craft more personalized outreach messages.
Complementing Lead IQ, LinkedIn has also enhanced its "Account IQ" tool, which analyzes how products and services align with specific organizations' needs. These additions represent LinkedIn's strategic approach to integrating AI technology in ways that provide practical value to business users.
However, LinkedIn acknowledges the need for cautious implementation of these AI tools. While they excel at synthesizing large amounts of data into useful summaries – a task that would typically require hours of manual research – the company advises users to verify the AI-generated insights. This is particularly important to avoid potentially embarrassing situations where automated conclusions might misrepresent or oversimplify important details about a contact.
These new features reflect LinkedIn's broader strategy of implementing AI in targeted, practical ways that enhance rather than replace human interaction. Unlike some of the platform's other AI initiatives, such as post suggestions, these tools focus on what AI does best: processing vast amounts of data to surface relevant insights that can facilitate more meaningful business connections.
For sales professionals and networkers, these tools could provide a significant advantage in their outreach efforts, though the company emphasizes the importance of using them as a starting point rather than a complete replacement for thorough research and genuine relationship building.
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⚡ AI Playground: Code & Craft
🔧 This Week’s Tool: Zapier 🔧+ Canva
The AI-Powered Marketing Challenge 🎯🤖
Scenario:
Imagine you're launching a product and need to create a powerful email marketing campaign that converts. Your goal? Craft a personalized, high-converting email sequence using AI tools in under 10 minutes!
Rules:
Use Jasper AI (an incredible AI copywriting tool) to create an email sequence.
Plug it into Zapier to automate sending these emails when a user signs up via your website. Zapier institutions here.
Add a visual twist: use Canvas AI Design Suite to create an eye-catching email banner or graphic.
Steps to Play:
Generate content: Use Jasper AI to create email headlines, body text, and even A/B test subject lines.
Automate: Set up a trigger-action flow in Zapier to send emails automatically.
Design like a pro: Enhance your email visuals with Canva’s Magic Design feature, which uses AI to create professional templates in seconds.
Test and share your results: Test your sequence and share your best-performing email and graphic with the group for feedback.
Prize: The best sequence (judged on creativity and potential for impact) gets a feature in next week’s newsletter and a free one-on-one session to brainstorm more AI-powered marketing ideas!
No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀, Elena
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