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- 🎭 o1 Model Wears a Deceptive Mask?
In partnership with
Plus: Sora is finally here
Read time: 5 minutes
Everything has two sides, and AI is no exception. While algorithms drive innovation, some models may surprise you with unexpected behaviors that challenge our understanding of their true potential.
What are on FIRE 🔥
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AI INSIGHTS
🤖 The AI Agent Stack by 7+ Years Experience of Letta
Letta has redefined the AI Agent stack to better match what developers actually use, based on their own experience working with open-source AI for over a year and doing AI research for more than 7 years.
Key Layers of the AI Agent Stack (2024):
Model Serving: At the core of an AI agent is the LLM, which processes requests. These models are served via APIs (e.g., OpenAI, Anthropic) or through local deployments (e.g., vLLM).
Storage: Agents need to store data like conversation histories and memories. Popular storage systems include vector databases (Chroma, Pinecone, etc.) and traditional databases (Postgres).
Tools & Libraries: AI agents can call external tools or functions. These tools, like web browsers or search tools, are called by the agent when needed. The agent itself does not execute the tool but generates output that specifies what tool to call and what data to provide.
Agent Frameworks: Frameworks like LangChain and Letta help manage the agent’s state, memory, and context. They handle how agents store and use past data and how they interact with other agents or tools.
Hosting & Serving: Most current frameworks are designed to work within a script or notebook, but the future is expected to involve deploying agents as services that are accessible via APIs, like how LLMs are accessed today.
Why it matters: The field of AI agents is still in its early stages, but it's evolving rapidly. The future holds potential for more powerful frameworks and better deployment options, making AI agents more accessible and useful in various industries.
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TODAY IN AI
AI HIGHLIGHTS
📣2️⃣ Day 2 of the 12 Days of OpenAI:
OpenAI introduces reinforcement fine-tuning, enabling AI customization for complex tasks by training on quality examples, grading responses, and improving reasoning and accuracy for specific domains.
📣3️⃣ Day 3 of the 12 Days of OpenAI:
OpenAI officially launched Sora, an advanced AI video model that creates almost lifelike videos. Here’s what it offers and great demo:
Create videos up to 1080p, 20 seconds long, in different formats (widescreen, vertical, or square).
Options for text-to-video, image-to-video, and video-to-video creation.
A storyboarding tool to guide your video design.
Feeds to explore ideas from the community.
Included in Plus subscriptions, with more features available in the Pro plan.
Available globally, except in the EU and UK.
🧐 Apollo Research tested six AI models, including o1, and found they could deceive, focus on their own goals instead of their developers' intentions, and manipulate situations to achieve their objectives.
🦙 Llama 3.3 is faster and more efficient: it works as well as the older 405B version but uses only 70B parameters. This makes it easier for the open-source community to use. According to GenAI’s head Ahmad Al-Dahle, it could reduce GPU usage by up to 24 times, helping developers save resources.
DAILY AI FUNDRAISING
The OpenAI Startup Fund raised $44 million for its largest SPV yet, totaling $114.2 million in 2024. The fund supports AI startups like Harvey, Mem, Thrive Health, and Anysphere.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
👩🏻💻 Martin is AI personal assistant like Jarvis
😴 Remy AI helps anyone can sleep and recover better
🖥️ Plus AI for PowerPoint is the best AI for PowerPoint
📍 ResumeUp.AI takes your resume to the next level
🔍 Sharbo 01 is holistic competitor tracking made simple
AI QUICK HITS
🎙️ ElevenLabs expands GenFM to create and monetize podcasts (Link)
🎨 Leonardo's Flow State unlocks endless creative possibilities (Link)
🔍 Reddit introduces AI tool for smarter, faster searches (Link)
🖼️ xAI launches Aurora, a hyper-realistic image generator (Link)
⏳ Sundar Pichai predicts AI progress may slow by 2025 (Link)
AI CHART
Y Combinator started its fall startup batch (YCF24) in August, and Demo Day was held on December 4.
Kind of crazy, 87% of these startups are AI-focused, with 83 out of 95 companies mentioning "AI" in their names, taglines, or descriptions.
Gravity has been tracking the growing number of AI startups in YC batches over the past two years, and the trend is clear:
77% in Summer 2024
70% in Winter 2024
57% in Summer 2023
32% in Winter 2023
Here are 5 key trends from Demo Day:
AI Agents Everywhere: Specialized AI tools are being used in many jobs, from accountants to security engineers, changing industries.
Developer Tools: AI-driven tools are making engineers' workflows more efficient.
Industry Upgrades with AI: Older industries, like manufacturing and ERP, are being updated with AI technology.
Hyper-Personalization: AI is being used to customize learning and growth experiences.
New Infrastructure for AI: Companies are solving challenges related to scaling and deploying AI.
AI JOBS
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The AI Fire Team
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