Tag: AI
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Who uses LLM prompt injection attacks? Job seekers, trolls – ‘“At present,” Kaspersky concludes, “this threat is largely theoretical due to the limited capabilities of existing LLM systems.”’
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Selling shoes on the internet, the risks of waterfall enterprise AI
Just links and wastebook today. Relative to your interests Spring Boot 3.3 Boosts Performance, Security, and Observability – All these years later, Spring is still in wide use and still evolving. ‘You are a helpful mail assistant,’ and other Apple Intelligence instructions – Not that many, but interesting. Gartner Predicts 30% of Generative AI Projects…
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Gartner Predicts 30% of Generative AI Projects Will Be Abandoned After Proof of Concept By End of 2025 – ”At least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or unclear business value, according to…
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Where Facebook’s AI Slop Comes From – So cyberpunk! // ”the YouTuber who was scrolling through images of rotting old people with bugs on them.”
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The Six Five: Advancing DevOps: Infrastructure as Code, Platform Engineering and Gen AI – “we see in our latest research that 24% of organizations are looking to release code on an hourly basis, yet only 8% are able to do so.”
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The Prompt Warrior – Posts on prompts for all sorts of things.
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fabric/patterns – Whole bunch of prompts on a range of topics, even D&D!
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From Burnout to Balance: AI-Enhanced Work Models for the Future – ”Nearly half (47%) of employees using AI say they have no idea how to achieve the productivity gains their employers expect”
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Unpacking New NIST Guidance on Artificial intelligence – Guidance.
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Is Rabbit R1 the biggest AI let-down yet? Even Satya was fooled… – He’s not a fan. // “The Bottom-line: Beware of AI snake oil, as some of it is very slippery indeed. Rabbit promised us freedom from app lock-in and all we got was more lock-out.”
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A note on the EU AI Act – “The requirements look entirely reasonable considering these products are being positioned to become central to modern software – they’re effectively positioned to become the entirety of modern computing.”
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The employment effects of a guaranteed income – “1.3-1.4 hour per week reduction in labor hours.” // Yes, and: if we buy into the premise that a lot of work is Bullshit Work, this isn’t enough, we need more like six to 8 hours of wasted time to convert to living, not sitting in inefficient…
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Next Gen Application Delivery: Getting Started with Intelligent Apps Powered by AI – “Our numbers show that 65% of all enterprise developers use Java, making it essential for business-critical applications. Development frameworks, like Spring AI, enable Java developers to interact with AI models and vector databases through the framework, rather than having to learn new…
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Kubernetes getting better at speeding up development – State of Kubernetes survey, 2024
Survey says… Kubernetes getting out of appdev improvement slump This is the chart I look forward to in our annual State of Kubernetes report1: It’s been a rocky few years as Kubernetes has gone mainstream. I pay attention to the “shortened software development cycles,” which you can see started going down. It’s been going up…
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GenAI or Die – Big time pro AI for ERP here, with notes of “what’s ERP done for me lately.”
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The “Little Tech Agenda” is Just Self-Serving Nonsense – FTC: “Your therapy bots aren’t licensed psychologists, your AI girlfriends are neither girls nor friends, your griefbots have no soul, and your AI copilots are not gods. We’ve warned companies about making false or unsubstantiated claims about AI or algorithms. And we’ve followed up with actions”
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CIOs resist vendor-led AI hype, seeking out transparency – There’s a lot of AI de-hyping now. First, you have the “they’re stealing our IP” stuff. Second, you have the “no one has come up with (enterprise) apps for it yet” sentiment. Thankfully, there’s no “AI will kill us” vibing.
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Gartner Survey Finds 64% of Customers Would Prefer That Companies Didn’t Use AI For Customer Service – “Many customers fear that GenAI will simply become another obstacle between them and an agent. The onus is on service and support leaders to show customers that AI can streamline the service experience.” // I mean, that’s the…
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Jevons paradox – When you automate something very valuable (or just “costly”), people demand more, and more complex product. This pulls in more need for labor that can do the more complex work. Hopefully.
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