The National Institute of Standards and Technology (NIST) has announced its first three post-quantum cryptographic algorithms, which will be able to safeguard data even in the event that quantum computing advances to the point that today’s cryptography can be broken. “The official publication of these algorithms marks a crucial milestone to advancing the protection of … continue reading
The Linux Foundation is making it easier for developers to find open-source AI models by hosting the Open Model Initiative (OMI). The OMI was first launched earlier this summer by Invoke, CivitAI, and Comfy Org as a way to help creators find models that don’t have restrictive licenses. “From the beginning, we have believed that … continue reading
A few weeks ago, the National Institute of Standards and Technology (NIST) released Dioptra, an open source tool for testing the trustworthiness of AI models. Dioptra offers a common platform for assessing models throughout their life cycle, from when they are being developed to when they are acquired by other parties who want to then … continue reading
Every year, Forrester puts together a list of 10 emerging technologies to watch. This year’s list was released in June, and in the most recent episode of our podcast, What the Dev?, we were able to sit down with Brian Hopkins, VP of Emerging Tech Portfolio at Forrester, about the list. Here is an edited … continue reading
The open-source distributed PostgreSQL platform, pgEdge, has a new release with advanced logical replication features, large object support, and improved error handling. “These enhancements make pgEdge an even more powerful alternative for legacy multi-master replication technologies, offering greater throughput, flexibility, and control for users,” Phillip Merrick, co-founder and CEO of pgEdge, wrote in a blog … continue reading
OpenAI is updating its API with support for Structured Outputs to ensure that the outputs of its models match the JSON Schemas provided by developers. According to OpenAI, one of the core use cases for AI today is the ability to generate structured data from unstructured inputs, but previously, developers needed to utilize open source … continue reading
JetBrains has announced the 2024.2 updates for its IDEs, the highlights being that the new UI is now the default and several improvements were made to AI Assistant. “We are thrilled to announce the 2024.2 updates to our IDEs and significant enhancements to our AI Assistant,” said Vladislav Tankov, Head of JetBrains AI. “With the impressive … continue reading
On Monday, a federal judge ruled that Google had violated antitrust laws to achieve its dominance in the search engine market, where it currently holds over 90% of the market share. “Google is a monopolist, and it has acted as one to maintain its monopoly,” Judge Amit P. Mehta of U.S District Court for the … continue reading
Qualys has announced a new tool called Qualys TotalAI that will enable teams to better address the security risks of generative AI. Specifically, it addresses the issues listed in the OWASP Top 10 for LLMs, which includes things like prompt injection, sensitive information disclosure, and model theft. According to Qualys, one of the big challenges … continue reading
GitHub is announcing a new sandbox environment — GitHub Models — where developers can experiment with AI models from different providers right from within GitHub. Developers can access models and then test different prompts and model parameters in a playground environment. “For most of us, learning to be a developer didn’t happen on a linear … continue reading
Earlier this week, Microsoft introduced the Agent Framework to its open source project Semantic Kernel, an SDK that integrates LLMs with C#, Python, and Java so that developers can incorporate AI features into their apps. With this new experimental framework, agents are now supported in the platform. According to Microsoft, agents are AI entities that … continue reading
Generative AI has the potential to have a positive impact on software development and productivity, but with that increased productivity comes increased pressure on software testing. If you can generate five or even 10 times the amount of code you previously could, that’s also five to 10 times more code that needs to be tested. … continue reading
