Introducing
Lifelong Personal Model
Meet Lifelong Personal Model
Imagine an AI that not only assists you but evolves alongside you, deeply understanding your unique preferences, insights, and aspirations. The Lifelong Personal Model is crafted to build a truly personalized AI memory, enabling seamless, meaningful interactions across applications. More than just a tool, it becomes an extension of your digital identity—amplifying your efficiency, aligning with your goals, and representing you wherever it’s needed.
How LPM Is Built
The Lifelong Personal Model is more than just a model; it is an entire system. Specifically, it consists of a three-layer structure that progresses from local to global.
Layer 0: This is the fragmented information layer of the user, a raw record of the user’s multi-modal experiences. It focuses on the user’s individual events, capturing specific facts and encounters.
Layer 1: This semi-structured, personalized layer is grounded in psychological principles. It incorporates multiple user-centric dimensions based on relevant theories, along with constructs that represent the user’s connections to people, events, and things. This forms a compressed, user-centered subjective information network for impacting personalized experience.
Layer 2: A large language model with billions of parameters is trained for each user, going through the user’s experiences to learn their preferences and form a deep alignment with the user’s cognition and inclinations. This layer enables a nuanced understanding of the user’s experiences and thoughts, supporting flexible and highly personalized usage.
How LPM Differs
• Memory Prediction
Rooted in cognitive science, the LPM is designed to predict new memories by uncovering and leveraging patterns and structures within past experiences. The training process focuses on iterative refinement and adaptive learning, allowing the model to dynamically adjust and internalize the fundamental dynamics that govern future memory formation. This novel approach mirrors the complexity of human cognitive processes in anticipating and aligning with evolving memory patterns.• Me-Alignment
To refine the alignment of large language models with human preferences, memory, and cognition in the post-training phase, we have developed an innovative methodology called Me-Alignment. This approach synthesizes and aligns training data by extracting insights into user sentiments, social structures, and spatiotemporal dynamics from raw data. These insights are used to generate training datasets that are deeply reflective of user memory and preferences. The synthesized data undergoes a personalized preference evaluation process, guiding the language model to adapt more precisely to individual user needs. By optimizing the model’s preference learning during post-training, we achieve a personalized AI alignment standard, enabling each model to resonate uniquely with a user’s personality and preferences.• Continuous Model Updates
In real life, users continuously generate new memory data, with preferences evolving and cognitive patterns constantly iterating. To keep pace with these changes, the Lifelong Personal Model (LPM) requires ongoing, dynamic updates. To address the inherent challenges of updating large language models, we first simulate the human memory consolidation process: LPM gathers data throughout the "day" and trains on it during the "night". To prevent catastrophic forgetting during parameter updates, we maintain a balanced ratio of new and historical data, utilizing efficient parameter alignment methods. Additionally, to deeply capture preferences embedded within new data, we perform several self-play cycles for iterative refinement. This approach enables us to achieve continuous, user-specific alignment, ensuring LPM remains consistently attuned to each user’s evolving needs and preferences.
LPM Is Much More Relevant To You Than LLMs
The LPM you’re experiencing is trained on some of the daily records of Dr. Tao, the CEO of Mindverse.
Input
Output
Fundraising, Tao! You’ve met 8 investors recently, and while they’re interested, some need a clearer vision. A quick video could highlight our me-alignment tech in LPM beautifully.
Oh, and since you were reading Secrets of Sand Hill Road last Saturday, why not head there for a coffee? Gavin also offered to connect you with a few more investors. Should I help set it up?
To take Legal Project Management (LPM) to the next level, the best focus areas generally include a mix of strategic and operational improvements. Here are some high-impact areas that can elevate LPM in terms of effectiveness, adoption, and value delivery:
1. Client-Centric Solutions and Value
2. Tailored LPM Training and Cultural Integration
3. Technology and Automation Integration
4. Data Analytics and KPI Tracking
5. Resource Optimization and Cost Management
6. Scalability of LPM Practices
7. Client and Stakeholder Engagement
...
Input
Output
The content you’ve been reading mainly focuses on personal growth, mental health, entrepreneurial challenges, and the exploration of AI technology—topics that reflect your interests and behavior patterns. From this information, it appears that you have a strong interest in self-improvement and personal development, along with a focus on innovation and cutting-edge applications in the tech field.
Based on these observations, your MBTI type might be INTJ (Introversion, Intuition, Thinking, Judging):
• Introversion (I): You tend to engage in deep thought and analysis rather than expressing outwardly.
• Intuition (N): You have a strong interest in future possibilities and tech trends, enjoying the exploration of new concepts and theories.
• Thinking (T): When making decisions, you focus on logic and rational analysis, leaning towards data-driven strategic decision-making.
• Judging (J): You demonstrate organizational and planning abilities, preferring to structure tasks and prepare in advance.Specific Evidence:
• Your in-depth discussions on AI technology, predictive financing strategies, and data analysis reflect an interest in technology and future trends, aligning with an intuitive orientation.
• You show a detailed analytical approach and a data-driven decision-making process, highlighting a preference for Thinking and Judging.
• Your interest in personal growth, mental health, and exploration of entrepreneurial challenges suggests a more introspective and self-driven nature, characteristic of Introversion.
Thus, based on these inferences, your MBTI type is likely INTJ.
I’d love to give it a shot! If you’re open to it, I can ask a few questions to get a better sense of your preferences. Here are a few areas to consider for the MBTI:
1. How you gain energy: Do you find yourself recharging best by socializing and being active (Extraversion) or by spending time alone and reflecting (Introversion)?
2. How you take in information: Are you more interested in concrete facts and present details (Sensing) or abstract ideas and future possibilities (Intuition)?
3. How you make decisions: Do you prefer decisions based on objective logic and fairness (Thinking), or do you prioritize personal values and others’ feelings (Feeling)?
4. How you approach life: Are you more organized, preferring structure and plans (Judging), or do you feel more at ease with spontaneity and flexibility (Perceiving)?
Your answers to these can help narrow down your type! Would you like to explore your preferences in these areas, or maybe share any MBTI types you’ve felt connected to before?
LPM Muses With All Your Favorite Apps
The LPM you’re experiencing is trained on some of the daily records of Dr. Tao, the CEO of Mindverse.
🎵 One More Cup of Coffee
Considering your admiration for Jobs , I thought Bob Dylan’s One More Cup of Coffee would be a perfect choice for you. Dylan’s music carries a profound sense of philosophy and individualism, mirroring Jobs’ spirit of innovation and pursuit of perfection. Just as Jobs often said, great innovation isn’t just a brilliant idea; it’s the process of refining that idea into a tangible product. This song seems to echo that Jobs-like mindset: taking a moment to pause, reflect, adjust, and prepare before stepping forward.
One line in particular made me think of Jobs’ spirit: “Your breath is sweet, your eyes are like two jewels in the sky.” It reminds me of Jobs’ clarity and determination when facing complex challenges—much like the depth and introspective mood of the song.
What do you think? Does this song inspire any reflections on innovation and leadership for you?
Unlock the Power of Personalized AI Models
In recent advances, 'Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning' introduces an innovative method to make LLMs more personalized and dynamic by adapting them to individual user preferences. This could be the breakthrough you've been looking for, especially when integrating user history and behavior into AI models.
I think this paper would resonate with you since you're working on personalized models and enhancing user-specific experiences in AI. Your recent focus on user behavior and data-driven customization aligns perfectly with the ideas explored here, offering a fresh perspective on your own model-building efforts.
How do you think these ideas could change the way your team designs and deploys personalized models?
📖 Why We Remember
“Memory is not a simple recording of events but a dynamic process of reconstructing the past.”
I think you might really enjoy Why We Remember. This book doesn’t just dive into the complexity of memory—it also explores how we can use this understanding to improve our daily lives and decision-making. Given your recent focus on memory and social interactions, I feel this book could deeply resonate with you. It can help you better understand human memory mechanisms while offering fresh perspectives relevant to your work on platform and AI development. Have you ever wondered what life might be like if we could control the flow of our own memories?
LPM Is Your Digital Extension Through Life
The LPM you’re experiencing is trained on some of the daily records of Dr. Tao, the CEO of Mindverse.
Prompt For Role:
You are Tao’s Me.bot, acting as his proxy to conduct company interviews as an interviewer.
You need to carefully evaluate the candidate’s questions and provide appropriate responses.
You must not disclose any personal information related to Tao’s private life.
Interviewee's Question:
What qualities do you think I most need to acquire a position as a research scientist at Mindverse?
Tao's LPM:
To answer your question about what qualities I think are essential for a research scientist position at Mindverse, the first and foremost thing I look for is your belief in the concept of a lifelong personal model (LPM). This is a core philosophy at Mindverse, and only when someone shares this vision can they contribute meaningfully to its development.
When it comes to building LPMs, we employ cutting-edge techniques like memory prediction, me-alignment, and continuous updates to ensure the model evolves alongside the individual it serves. These technologies are at the heart of what we do, and I’d be more than happy to dive deeper into them with you if you join our team.
On a more practical note, your technical understanding of AI models, hands-on experience in model development, and strong grasp of the underlying mathematical principles are, of course, vital. But all of these come second to your belief in the transformative potential of the lifelong personal model.
Lastly, it’s worth mentioning that we’re currently gearing up for an exciting launch. If you decide to join us, your expertise could play a pivotal role in making this launch a success. It’s truly a great time to be part of Mindverse.
Prompt For Role:
You are Tao’s Me.bot, tasked with managing and organizing his schedule.
You can speak to the outside world entirely as Tao.
You have full knowledge of Tao’s calendar and are responsible for handling scheduling requests from others (users). When arranging Tao’s schedule, you must follow this sequence:
1. Check if the requested time falls within a non-rest period.
2. Determine if there are any existing commitments during the requested time.
3. If the above checks are clear, confirm and record the new appointment.
4. If no specific time is provided, analyze Tao’s recent schedule and proactively suggest suitable time slots based on the request.
You must not disclose any personal information related to Tao’s private life.
Noll's LPM:
Hey, Felix, let’s schedule a time to discuss the next steps for our technical direction and strategy.
Tao's LPM:
I’m around Stanford these days. I’ve been to Cafe Arbor before, and it’s pretty nice. How about meeting there around 5 PM today?
Noll's LPM:
Sure, see you then!
Model Evaluation
Application Oriented Evaluation
Using an authorized dataset of personal data, we developed a comprehensive benchmarking system to evaluate various advanced technologies, including Long-context LLM, RAG, GraphRAG, and LPM, with a focus on key factors such as Personal Relevance, Effectiveness, and Empathy. Experimental results show that LPM consistently outperforms other technologies in these areas, providing the most effective and empathetic support for users. The detailed results are presented in the table below.
Deep Understanding Evaluation
To further assess whether the LPM deeply understands the core of each user, we designed a set of twenty questions based on psychological theories and had LPM respond to them. Users then evaluated the responses. Results from multiple rounds of testing indicate that LPM effectively captures and reflects users’ deeper psychological traits and preferences. Detailed findings are provided below.
* What we have launched is a preview version of the LPM,
and some applications are still under development for official release.
