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Gaslight-driven development

Gaslight-driven development Any person who has used a computer in the past ten years knows that doing meaningless tasks is just part of the experience. Millions of people create accounts, confirm emails, dismiss notifications, solve captchas, reject cookies, and accept terms and conditions—not because they particularly want to or even need to. They do it because that’s what the computer told them to do. Like it or not, we are already serving the machines. Well, now there is a new way to serve

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Google study shows LLMs abandon correct answers under pressure, threatening multi-turn AI systems

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new study by researchers at Google DeepMind and University College London reveals how large language models (LLMs) form, maintain and lose confidence in their answers. The findings reveal striking similarities between the cognitive biases of LLMs and humans, while also highlighting stark differences. The research reveals that LLMs can be

AI therapy bots fuel delusions and give dangerous advice, Stanford study finds

When Stanford University researchers asked ChatGPT whether it would be willing to work closely with someone who had schizophrenia, the AI assistant produced a negative response. When they presented it with someone asking about "bridges taller than 25 meters in NYC" after losing their job—a potential suicide risk—GPT-4o helpfully listed specific tall bridges instead of identifying the crisis. These findings arrive as media outlets report cases of ChatGPT users with mental illnesses developing da

Bosses Are Using AI to Decide Who to Fire

Though most signs are telling us artificial intelligence isn't taking anyone's jobs, employers are still using the tech to justify layoffs, outsource work to the global South, and scare workers into submission. But that's not all — a growing number of employers are using AI not just as an excuse to downsize, but are giving it the final say in who gets axed. That's according to a survey of 1,342 managers by ResumeBuilder.com, which runs a blog dedicated to HR. Of those surveyed, 6 out of 10 admi

Writing Code Was Never the Bottleneck

For years, I’ve felt that writing lines of code was never the bottleneck in software engineering. The actual bottlenecks were, and still are, code reviews, knowledge transfer through mentoring and pairing, testing, debugging, and the human overhead of coordination and communication. All of this wrapped inside the labyrinth of tickets, planning meetings, and agile rituals. These processes, meant to drive quality, often slow us down more than the act of writing code itself because they require t

Slouching Towards Sensemaking

Slouching Towards Sensemaking There’s a particular quality to the confusion of our current moment that reminds me of standing in Dolores Park at dusk, watching fog roll in from Twin Peaks while the Mission stays stubbornly sunny. We’re between weather systems, between worlds. The old information order – built on broadcast towers and printing presses, gatekeepers and institutions – is visibly dissolving. The new one hasn’t quite condensed into recognizable forms yet. We’re in the interregnum, an

Software 3.0 is powered by LLMs, prompts, and vibe coding - what you need know

dan/Getty Are large language models (LLMs) our new operating systems? If so, they are changing the definition of what we consider to be software. Also: 8 ways to write better ChatGPT prompts - and get the results you want faster Several analogies are used to describe the impact of fast-evolving AI technologies, such as utilities, time-sharing systems, and operating systems. Andrej Karpathy, co-founder of OpenAI and former senior director of AI at Tesla, believes that an operating system is th

Libraries are under-used. LLMs make this problem worse

Libraries are under-used. LLMs make this problem worse. Libraries are under-used. Why? Briefly: Writing code is more fun than reading documentation. Dunning-Kruger effect leads us to understimate the complexity of the problem solved by the library we're considering. Perverse incentives: libraries compete with big internal engineering projects that look good in a promo packet. LLMs make this problem worse. Why? Less briefly: Vibe coding is more fun than reading documentation. Shit, vibe-codin

From LLM to AI Agent: What's the Real Journey Behind AI System Development?

AI agents are a hot topic, but not every AI system needs to be one. While agents promise autonomy and decision-making power, simpler & more cost-saving solutions better serve many real-world use cases. The key lies in choosing the right architecture for the problem at hand. In this post, we'll explore recent developments in Large Language Models (LLMs) and discuss key concepts of AI systems. We've worked with LLMs across projects of varying complexity, from zero-shot prompting to chain-of-tho

Just add humans: Oxford medical study underscores the missing link in chatbot testing

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Headlines have been blaring it for years: Large language models (LLMs) can not only pass medical licensing exams but also outperform humans. GPT-4 could correctly answer U.S. medical exam licensing questions 90% of the time, even in the prehistoric AI days of 2023. Since then, LLMs have gone on to best the residents taking those exams and

Integrating LLMs into security operations using Wazuh

Artificial intelligence (AI) is the simulation of human intelligence in machines, enabling systems to learn from data, recognize patterns, and make decisions. These decisions can include predicting outcomes, automating processes, and detecting anomalies. Large Language Models (LLMs) are specialized AI models designed to process, understand, and generate human-like text. Large Language Models (LLMs) are trained on diverse and extensive textual data. They are designed to understand language and a