Tom Smith is a Publisher/Executive Producer at various media outlets. He specializes in technology and software, with a focus on artificial intelligence, machine learning, and their cultural implications. Tom's insights and analyses have been featured in numerous publications, including the Daily News-Sun, PBL Magazine, and The Scotsman.
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Tom Smith's coverage includes a mix of topics, with a focus on technology, automotive events, and house & home themes. His event coverage indicates an interest in local events related to cars and technology.
Given the diverse range of topics covered by Tom, he may be open to pitches that provide insights into the latest trends in software development, particularly internal platforms and DevSecOps collaboration as seen from Southern California or national perspectives.
For automotive-related content such as car shows and community gatherings, offering unique angles about these events or providing predictions for future trends could capture his attention. Additionally, given his focus on "Navigating the Tech Landscape" articles, tech-focused prediction pieces are likely to resonate with him.
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Microsoft published its September roundup of updates to Microsoft Foundry, its platform for building and running AI agents. The list is long.
By: Tom Smith
Customise Consent Preferences Google Research has released Harness², an open-source framework that improves AI agents by rewriting the scaffolding around a model instead of the model itself.
AI-powered reverse engineering is making it easier to understand and rebuild software without source code. Tools such as REA and increasingly capable AI models create opportunities for legacy modernization while raising fresh concerns about intellectual property, application security and functional correctness.
GitHub’s new package firewall puts enterprise security policies between npm registries and the developers, CI runners and AI coding agents consuming packages. With malware detection, attestation checks and package-age restrictions, it aims to stop malicious dependencies before installation.
OpenAI’s latest coding benchmarks show substantial improvements in handling COBOL, Fortran and other low-resource languages. But for DevOps teams modernizing legacy applications, translating code is only half the challenge. The real test is preserving business logic, arithmetic precision and production behavior.
Two questions come up regularly in my conversations with founders and finance leaders. When does a startup need a CFO and what happens to the person who takes that seat first?
By: Tom Smith
Microsoft introduced a Copilot version that's optimized for the legal industry through pre-packaged AI skills and plugins for connecting to important industry data sources.
By: Tom Smith
Formal verification has long been the gold standard for software correctness. It has also been too expensive for almost everyone. New research from Anthropic suggests that's changing.
Recursive has unveiled Flint, a 40-billion-parameter, open-weight coding model designed to run locally on developer hardware. Built with help from the company’s Eureka Machine research system, Flint promises faster inference, greater source-code privacy and freedom from per-token API fees. For DevOps teams, the launch raises fresh questions about AI agent governance, code quality and continuous model evaluation.
Reddit’s largest open-source community is cracking down on AI-generated projects, prompting criticism over sweeping restrictions that could exclude legitimate developers. As Linux takes a different approach, DevOps teams face a more important question: How can they enforce code quality and accountability without banning the tools developers use?
