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PearAI’s secret recipe? 🍐
Copy, paste, profit 🤑
Happy Friday! Is plagiarism the new innovation? Y Combinator is facing backlash after funding PearAI, a startup that admitted to cloning an AI coding tool. With the founder’s confession stirring debate, it raises a bigger question: In a world racing for AI breakthroughs, where should we draw the line between inspiration and imitation?
By the way: I’m hosting a hackathon in LA this weekend. Come check it out!
Nvidia Shakes Up AI with Open-Source NVLM 1.0 Model
The Economic Times
GPT-4, meet your match. Nvidia’s new open-source AI model, NVLM 1.0, is here. Unveiled at an AI conference in San Francisco, this 72-billion-parameter powerhouse is multimodal, capable of handling both text and visuals, and it’s open to everyone. Nvidia’s move is poised to shift the balance of power in the world of AI.
Going public: Nvidia’s decision to open-source NVLM 1.0 disrupts the usual closed-door AI development process. By giving access to advanced tools, the company is inviting anyone to innovate in AI.
Challenging the giants: Nvidia’s bold move confronts industry giants like OpenAI and Google, who still guard their models. They now face a tough choice: open up or risk being left behind.
Could this spark an AI rebellion? Nvidia’s open-source move might ignite a rebellion among smaller AI companies and researchers. With such powerful tools now available to all, we could see a wave of new players disrupting the space, taking on tech’s biggest names with their own breakthroughs.
What’s next: Nvidia’s NVLM 1.0 might just be the beginning of a more open future for AI development. Whether or not competitors follow suit, this decision positions Nvidia as a leader in technology and transparency, setting the stage for what could be the next big leap in AI capabilities.
Can AI Fix Its Own Mistakes? DeepMind Thinks So.
DeepMind just cracked a major problem in AI—getting large language models (LLMs) to spot and fix their own errors. Enter SCoRe, a new framework that allows AI systems to self-correct without external feedback. This breakthrough could redefine how we think about AI reliability.
Self-correction matters: LLMs have long struggled with accuracy, often missing their own mistakes. SCoRe changes that, giving AI the ability to evaluate and adjust its responses on the fly.
The result? A far more reliable AI that raises the bar for AI autonomy, revolutionizing fields like coding and data analysis.
How SCoRe is different: Unlike previous methods, SCoRe trains models using only self-generated data. No human feedback, no external guides—just the AI correcting itself. This makes it a powerful tool in real-world scenarios where human input is limited.
What’s next: DeepMind’s SCoRe is just the beginning. As more companies race to develop self-correcting models, expect to see this technology applied in high-stakes industries and complex tasks, such as legal research or scientific discoveries. This shift toward self-repairing systems marks a new chapter in AI development.
Microsoft’s Copilot Just Got Way Smarter
Microsoft is pushing AI further than ever, introducing Copilot Vision, Think Deeper, and Copilot Voice—features that allow its AI to read your screen, analyze complex problems, and talk back to you (nicely). This is a bold leap toward AI-driven user experiences that go beyond just answering questions.
Here’s the rundown:
Copilot Vision: The tool gives Microsoft’s AI a view into what you’re doing on your PC. It can read the text and images on websites, answer questions, and even help you navigate tasks like shopping or research—all while maintaining user privacy by deleting data after each use.
Think Deeper: This feature takes AI reasoning up a notch. It tackles complex tasks, from solving tough math problems to managing home projects, using more advanced models fine-tuned for step-by-step answers.
Voice: You can now talk directly to Copilot, and it will respond in natural, conversational language. This AI assistant can even pick up on your tone and adjust its responses, bringing a more human-like interaction to everyday tasks.
Why it matters: These updates are just the beginning of Microsoft’s push to integrate AI more deeply into everyday workflows. Expect more AI-powered tools that blend seamlessly into apps and platforms.
Amazon’s Fire tablets get a smart upgrade with built-in AI
New AI funding poised to drive the next wave of innovation
AI artist pushes for copyright related to Midjourney-generated work
Meta's new Llama 3.2 release brings cutting-edge AI to edge devices with powerful vision and text models—explore its capabilities here*
OpenAI releases new four new features
*This is sponsored advertising content
How to go viral (with AI): Watch along as I walk through how to make these viral AI memes with the new Pika 1.5 model.
This AI took my job—JK! Come with me as I try out NotebookLM. Could this be the end?
LLMs to level up your business: Listen in as we share the best tips & tricks for making LLMs work for you (literally).
That’s all for this week! The AI world is at a crossroads—will the future be built on clones or true innovation? Hit reply and share your thoughts.
—Matt (FutureTools.io)
P.S. This newsletter is 100% written by a human. Okay, maybe 96%.