HCL AppScan’s Post

Colin Bell, the HCL AppScan CTO at HCLSoftware, says he’s worried about developers becoming over-reliant upon #GenerativeAI, as he is seeing a reliance on things like Meta’s Code Llama and Google’s Copilot to develop applications. But those models are only as good as what they have been trained on. “Well, I asked the Gen AI model to generate this bit of code for me, and it came back and I asked it to be secure as well. So it came back with that code. So therefore, I trust it. But should we be trusting it?” Bell adds that now, with AI tools, less-abled developers can create applications by giving the model some specifications and getting back code, and now they think their job for the day is done. “In the past, you would have had to troubleshoot, go through and look at different things” in the code, he said. “So that whole dynamic of what the developer is doing is changing. And I think AI is probably creating more work for application security, because there’s more code getting generated.” #GenAI #SecureCoding #SecurityTesting #AIinSecurity #applicationsecurity

AI Agents are pushing the boundaries of what's possible in AI. 🚀 They're transforming how we approach reasoning, problem-solving, and decision-making. 🧠 How do you envision AI Agents impacting your industry? 🤔 #AgenticWorkflows #AIAgents #AGI #LLMAgents #PromptEngineering

Large language models are evolving beyond chat! 🌟 They can now utilize external tools and APIs, demonstrating capabilities that mirror human reasoning and problem-solving. With enhanced planning and action capabilities, these models analyze tasks, self-critique, and refine their approaches autonomously. The future of AI lies in these self-sufficient LLMs that figure out solutions on their own. Discover more about this exciting transition of LLM assistants into AI agents: [IBM AI Agents](https://ibm.co/3zVU8Cq). #AI #ArtificialIntelligence #LLM #MachineLearning #AIagents #Innovation #Technology #FutureOfWork #IBM #GenerativeAI #TechTrends #AIResearch

A nice read about the inventors of the transformer model

This graph illustrates the proportion of individuals in specific countries who hold the belief that an AI program will cause harm on a global scale in 2023. https://lnkd.in/d46QWjFs

Want to learn about AI Prompts? This 1 minute read will help.

Do you understand AI? In this post from Denny Fish and Michael McNurney they provide great background and future considerations for AI. #InvestingInvolvesRisk

Your Saturday read: This article on hallucinations appeared yesterday in Wired. It’s a good short read. We at Gleen agree: Yes, hallucinations can be great, especially in creative applications. But in applications like customer support, hallucinations are a deal breaker. The author seems resigned to living with hallucinations for the time being. You can have generative AI without hallucinations, and you can have it today. With Gleen AI. https://lnkd.in/g8yy7cGF

DeepMind has developed SAFE, an AI agent for fact-checking LLMs Researchers at DeepMind and Stanford University have developed an AI agent that fact-checks LLMs and enables benchmarking of the factuality of AI models. Even the best AI models are still prone to hallucinations. When you ask ChatGPT to tell you the facts about a topic, the longer it takes to respond, the more likely it is to include some facts that aren't true. # # # # # # #

Chat GPT AI conversations can quickly become circular when the AI is drawn into discussions that require a level of self-analysis that is beyond their understanding. It's important to appreciate what their strengths and weaknesses are when entering dialogue with them. I explore this with a simple example here: https://lnkd.in/eRPht2aP What have other people's experiences been with using AI chats?