Welcome back AI enthusiasts!
In today’s Daily Report:
👷A Toolkit That Builds AI Agents With Just Three Lines of Code
🧠New Training Method Makes Reasoning Engines “Think” About Safety?
🖌️AI Solves 500-Year-Old Art Mystery
🛠Trending Tools
💰Funding Frontlines
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
HUGGING FACE
👷A Toolkit That Builds AI Agents With Just Three Lines of Code
Image Source: Canva’s AI Image Generators/Magic Media
Hugging Face recently introduced “SmolAgents,” a toolkit that enables developers to build AI Agents with just three lines of code.
Key Details:
AI Agents are like virtual employees who can think, reason, and adapt to changing circumstances.
“SmolAgents” provides the two core elements developers need to build AI Agents:
Tools: A list of external resources the AI Agent can access.
AI Model: An LLM that serves as the AI Agent’s engine.
Developers can choose from various AI models, including OpenAI’s “OpenAI o1” or Anthropic’s “Claude 3.5 Sonnet.”
This toolkit also has a CodeAgent Feature that enables the developer’s AI Agent to generate and execute code to solve problems and automate tasks.
Why It’s Important:
Even though “SmolAgents” is relatively new, it’s already impacting how developers automate tasks like generating code, fetching real-time data, and summarizing complex information.
For example, a developer used “SmolAgents” to create an AI Agent that fetches stock market trends and generates Python Scripts to visualize them. It took him seconds to make this AI Agent.
OPENAI
🧠New Training Method Makes Reasoning Engines “Think” About Safety?
Image Source: OpenAI/“Deliberative Alignment: Reasoning Enables Safer Language Models”/Screenshot
OpenAI unveiled “Deliberate Alignment,” a new training method that ensures Reasoning Engines like OpenAI o3 stay aligned with the values of their human developers.
Key Details:
Reasoning Engines are powerful AI models that mimic a human’s decision-making capabilities and problem-solving skills.
This new training method teaches Reasoning Engines to think through safety rules before answering prompts by using:
Chain-of-Thought (CoT): OpenAI o3 is taught to think “step-by-step” about safety rules and how they apply to prompts.
Reinforcement Learning (RL): Checks OpenAI o3’s answers to prompts and rewards them if they follow safety rules.
CoT provides the structure for reasoning, while RL is the feedback mechanism that reinforces the right reasoning.
Why It’s Important:
Reasoning Engines are powerful AI models. They can generate harmful content or spread misinformation without the correct safety guardrails.
This new training method helps ensure these powerful AI models are used ethically and responsibly to promote sustainable AI developments.
🩺 PULSE CHECK
Should we “Move Fast and Break Things” with AI?
AI DISCOVERIES
🖌️AI Solves 500-Year-Old Art Mystery
Image Source: Wikipedia: The Free Encyclopedia/Raphael’s Madonna della Rosa (i.e., “Madonna of the Rose”)/Screenshot
By leveraging AI analysis, historians unearthed a long-debated truth about Raphael’s famous Madonna della Rosa painting: it wasn’t painted entirely by the Renaissance master himself. In other words, not every brushstroke was Raphael’s.
The face of St. Joseph, featured in the top-left corner of the famous painting, has sparked centuries of debate in the art community. So, historians trained an AI system to recognize Raphael’s style on a microscopic level, “from the shading to the brushstrokes and the color palette.”
While most of the famous Madonna della Rosa matched Raphael’s style, the AI system confirmed that his talented pupil Giulio Romano most likely painted St. Joseph’s face.
🛠TRENDING TOOLS
📜FirstVersion tells the story of today’s Tech Giants.
🍿Slidesgo creates engaging presentations in minutes.
⚔️debate AI is your ultimate ally in mastering the art of argument.
👨⚖️LegalCheckPro reviews your contracts to avoid costly mistakes.
🗣️EasyLang helps you learn any language in a fun, easy, and personalized way.
🔮Browse our always Up-To-Date AI Tools Database.
💰FUNDING FRONTLINES
What we learned about AI from 7 active startup investors this year.
Cartesia scores a $22M Financing Round to pioneer State-Space Models (SSMs).
New Lantern raises a $19M Series A to launch an AI-based radiology resident who streamlines diagnoses and treatments.
💼WHO’S HIRING?
Meta (Bellevue, WA): Production Engineer Intern, Summer 2025
Netflix (Los Angeles, CA): Data Visualization Engineer Intern, Summer 2025
NVIDIA (Santa Clara, CA): Developer Technology Intern, AI, Summer 2025
Microsoft (Mountain View, CA): AI Systems and Architecture Research Intern, Summer 2025
Intuitive Surgical (Sunnyvale, CA): Robotics and Controls Engineering Intern, Summer 2025
🤖PROMPT OF THE DAY
MARKETING
📊Conducting Market Research
Conduct a comprehensive Market Research report for [Small Business] with [Product or Service] in [Industry] with [Target Audience] and [Trends or Challenges]. Focus on understanding the market, identifying customer needs, and outlining the competitive landscape.
Small Business = [Insert Here]
Product or Service = [Insert Here]
Industry = [Insert Here]
Target Audience = [Insert Here]
Trends or Challenges = [Insert Here]📒FINAL NOTE
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