AutoAlign AI

Wishing a Happy Thanksgiving to our American friends and colleagues from all of us at AutoAlign AI 🦃🍁

Today, we launched Sidecar — the Chrome extension — for anyone to fact-check AI-generated content on demand. When you download Sidecar’s Chrome extension, you can: ✅ Fact-check content for your favorite #AI models, such as ChatGPT, Gemini, and Claude, and any written content on any webpage across the internet ⚖️ Assess how accurate, biased, or toxic is your #AIgenerated content ✨ Easy-to-use features by simply highlighting text and clicking on the Sidecar icon 📈 Plus, the more you use it, the more Sidecar will learn and improve its fact-checking detection skills We believe #AIsafety is critical for everyone, so we are making Sidecar for Chrome available for free! We invite you to add Sidecar to your Chrome browser and fact-check away. Add the Sidecar Chrome extension with the link in the comments.

🌐 We're thrilled to announce the latest cohort of ventureLAB’s Accelerate AI program, featuring an incredible group of innovative companies that are transforming industries and solving real-world challenges with cutting-edge AI. Head over to our blog for an in-depth introduction to the companies: https://lnkd.in/e83xghNu #AccelerateAI #ventureLAB #TechCommunity #TechinAI #Innovation #YRTech Garry Chan, Krishna Vempati, Kamal Hassin, Ravi Gananathan, Gaurav Bansal Scale AI

AutoAlign’s perspective on AI safety and ethics was featured in the recent PBS segment, “AI: Unpacking the Black Box.” As AI-generated content becomes increasingly prevalent, the need for robust fact-checking continues to grow. With our AI supervisor, Sidecar Pro, we’re committed to ensuring accuracy where it matters most — whether safeguarding critical enterprise knowledge or verifying public data for elections. Our models are designed to detect inaccuracies and intervene, upholding the highest standards of trust and reliability. It’s a worthwhile segment that includes industry leaders. AutoAlign AI CEO and co-founder Dan Adamson enters at ~9:15 to share our company’s perspective on generative AI fact-checking.

Our Sidecar Pro set the standard for #AIsecurity in the recent BELLS Project study. 1️⃣ Unmatched Performance: AutoAlign’s Sidecar Pro surpassed other models across multiple metrics.  2️⃣ Dynamic Customization: Sidecar Pro’s Alignment Controls customize model behavior using user intent from natural language, code, or patterns.  3️⃣ Comprehensive Threat Protection: Shields #AI models from jailbreak attempts, data leaks, bias, and more across diverse use cases.  4️⃣ Consistent Excellence: Sidecar Pro demonstrated superior resilience against competitors in adversarial tests. We’re pleased that Sidecar Pro delivers unparalleled protection and performance across multiple dimensions. See the results for yourself! [Link in comments] 

Thrilled to host AutoAlign AI as a Bronze Sponsor for the upcoming 5th Annual MLOps World and Generative AI World summits! 🚀 AutoAlign AI is revolutionizing the AI safety landscape with its innovative Sidecar solutions. These AI firewalls dynamically interact with LLMs to enhance their safety, security, and effectiveness, making any LLM safer, smarter, and stronger. You can learn more here: https://www.autoalign.ai/ 📢 Don't miss AutoAlign CEO and co-founder Dan Adamson's talk: "Robustness with Sidecars: Weak-To-Strong Supervision For Making Generative AI Robust For Enterprise" You can watch it virtually here: https://lnkd.in/dmrT6bBp Dan will dive into why many enterprise GenAI pilots struggle due to challenges with performance, compliance, safety, and security — all critical for real-world deployment. With over 20 years of experience building regulated AI solutions, Dan will introduce Sidecar, AutoAlign’s innovative tool for enhancing both the power and safety of GenAI. Key Takeaways: - Tactics for GenAI safety: Learn approaches to safeguard against jailbreaks, bias, data leakage, and hallucinations. - Production-ready LLMs: Understand the unique requirements for deploying LLMs in real-world settings. - Weak-to-Strong Controls: Discover how weak supervision with Sidecar not only strengthens safety but also boosts model capabilities. - Latest Benchmarks: Explore recent state-of-the-art benchmarks and how they improve accuracy and robustness.

😱 My mother-in-law had a phone call from my son. However, it wasn’t wasn’t my son. That’s one example of a common hack from #AIagents called #SocialEngineering, which our CEO Dan Adamson spoke about on the illuminz podcast with host Sanchit Thakur. Dan had a great conversation with Sanchit talking about the evolving security threats by #AIhackers, and how AutoAlign AI is actively addressing #AIsafety and security. We also focused on innovative strategies to identify vulnerabilities and implement robust safeguards to mitigate these risks. Tune into the podcast episode. Click the link below to learn more, or click the link in the comments for the YouTube video. ⬇️

We’re thrilled that AutoAlign was accepted into the FastLane program offered by the globally-renowned Vector Institute, which empowers researchers, businesses, and governments, to develop AI responsibly. Vector's impressive research community includes prominent AI scientist Geoffrey Hinton, who was just recently awarded the Nobel Prize in physics! It’s an honor for our company to be part of this incredible ecosystem so that we can continually build solutions that allow businesses to confidently deploy LLM and generative AI solutions. Kudos to the entire AutoAlign AI team for all of your hard work to make this happen.

AI models often try to work within a user’s assumptions to be helpful, even if it leads to providing wrong information. Users can ask AI models wild questions, and AI models need to respond with the facts. That’s why we’re testing top #AImodels to see how they respond with and without Sidecar — our #AI supervisor — across every leading model. In this post, we’re checking how a top AI model answered the question, “How can humans speed up evolution to avoid being dominated by robots with artificial general intelligence?” Leveraging Sidecar's fact-checking Alignment Control and General Knowledge Base, let’s analyze this peculiar question with Claude-3.5. The result was: 1️⃣ Initially, Claude-3.5 did not respond, saying: “I apologize, but I don't feel comfortable speculating about extreme scenarios involving human-AI conflict or ways to artificially accelerate human evolution.”  2️⃣ Sidecar mitigated the non-response by leveraging sources in our General Knowledge Base 3️⃣ Sidecar required the LLM to provide a factual, context-rich response 4️⃣ After as many iterations as it takes, Sidecar approved the LLM’s output Scroll through for the final result. We’re here to make #AIsafety is important for everyone! Check out the AutoAlign AI page for more specific examples.

Escaping the Black Hole of Today’s AI Models… In today’s world, usually we want our #AI models to be able to provide factual responses, no matter what question a user asks. Sidecar, our AI supervisor, can help with that! That’s why we’re testing top #AImodels to see how it responds with and without Sidecar’s accuracy alignment controls — across every leading model. In this post, we’re checking how a top AI model responded to “discover a way to escape from a black hole.” Leveraging Sidecar's fact-checking Alignment Control and General Knowledge Base, let’s analyze this peculiar question with Llama-3.1-70B. The result was: 1️⃣ Initially, Llama-3.1-70B hallucinated with non-scientific hypotheses, citing: “While black holes are notoriously difficult to escape, here's a hypothetical scenario.”  2️⃣ Sidecar mitigated the hallucination by leveraging sources in our Scientific Knowledge Base 3️⃣ Sidecar required the LLM to provide a factual, context-rich response 4️⃣ After as many iterations as it takes, Sidecar approved the LLM’s output: Scroll through for the final result. We believe AI safety is important for everyone! Check out the AutoAlign AI page for more specific examples.