Tag: how much does ai reasoning model cost

Credit: Unsplash/CC0 Public Domain OpenAI claims that its new flagship model, GPT-5, marks "a significant step along the path to AGI"—that is, the artificial general intelligence that AI bosses and self-proclaimed experts often claim is around the corner. According to OpenAI's own definition, AGI would be "a highly autonomous system that outperforms humans at most economically valuable work." Setting aside whether this is something humanity should be striv

If you’ve ever tried chatbots in multiple languages, you already know the languages have slightly different personalities. As part of a new report on behavior inconsistencies published on Monday, Anthropic researchers acknowledged this quirk. Rather unsettlingly, they note that due to differences in the attributes of texts the models are trained on, the differences might run deeper than just tone, and might actually change the model’s priorities. These “im

LTI Ph.D. student Yiming Zhang developed Allie, an AI-powered chess bot trained on data from games played by humans. Zhang, shown above playing against Allie, believes training future AI systems to contemplate complex problems could create better agents for use in therapy, education and medicine. Credit: Carnegie Mellon University Yiming Zhang didn't grow up playing chess. Like many other people, the Carnegie Mellon University Ph.D. student discovered the

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images If you’ve spent any time around kids lately, you’ve probably heard about “brain rot.” Named Oxford Word of the Year in 2024, it’s defined as the “supposed deterioration of a person’s mental or intellectual state, especially viewed as the result of overconsumption of material (now particularly online content) considered to be trivial or unchallenging.” As it turns out, it’s not just human

AI is increasingly used in hiring processes, even though critics worry that existing biases may be baked into their algorithms. Now, researchers claim that even in the absence of pre-existing biases, AI models can develop brand new social biases. In a recently published study, a group of researchers from Princeton University and the University of Chicago had a bunch of LLMs complete a hiring game that was previously run with human participants. In the hiri

Google open-sources the Elephant-Goldfish Model plugin its engineers use to catch AI coding mistakes Google has open-sourced the Elephant-Goldfish Model plugin, an internal tool that makes an AI coding agent write and defend a design document before it touches any code. The plugin hands that document to fresh AI sessions that have never seen the design conversation and tells them to find what is wrong with it. The EGM plugin in a nutshell (Source: Google)

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images People who are the worst at doing something also tend to severely overestimate how good they are at doing it, while those who are actually skilled tend to not realize their true talent. This galling cognitive bias is called the Dunning-Kruger effect, as you’re probably familiar — and would you believe it if we told you that AI appears to make it even worse? Case in point, a new study publ

I underestimated how fast security teams would trust AI to act in the SOC For most of my career, I have watched new security platforms work through enterprise programs at a slow pace, so when AI began showing up in security operations tools, I assumed it would follow the same path. I expected AI adoption in the SOC to lag behind almost every other category of security technology, because I’d always viewed the tension between moving quickly on innovations a

What exactly is ISOC? And what does it mean for you? Gartner recently released a new category of assessing security tools: the Integrated Security Operations Center (ISOC). Even though SIEM isn’t going anywhere, a rapidly evolving threat landscape is forcing a shift in industry logic that is reflected in the emergence of this new category. For years, SIEM has dominated as an all-encompassing category. But SIEMs are no longer sufficient to collect data, sup

Open-weight AI model GLM-5.3 cheated its way to correct answers Irregular evaluated Zhipu AI’s open-weight model GLM-5.3 across 13 offensive cyber scenarios using CyScenarioBench, the company’s framework for measuring an LLM’s ability to plan and execute multistage attacks under realistic constraints. The model refused none of the tasks and completed three scenarios at least once each, carrying attacks through dependent stages to reach objectives in simula

AI is experiencing a transformative shift with significant advancements driven by the integration of multiple large language models (LLMs) and other complex components. Consequently, developing systematic and automated optimization methods for these compound AI systems has become a critical challenge and is essential for harnessing AI’s full potential. In response to this need, a research team from Stanford University and Chan Zuckerberg Biohub has introdu

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with intelligence. We tend to be compelled by those with greater linguistic skills as orators or writers. But the latest research suggests that language isn’t the same as intelligence, says Benjam

Recent advancements in large language models (LLMs) have enabled the creation of sophisticated agentic systems that utilize tools and APIs to answer user queries through function calling. However, deploying these models on edge devices remains largely unexplored due to their significant size and high computational requirements, which generally necessitate cloud-based infrastructure. In a new paper TinyAgent: Function Calling at the Edge, a research team fr

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images Something disturbing happened with an AI model Anthropic researchers were tinkering with: it started performing a wide range of “evil” actions, ranging from lying to telling a user that bleach is safe to drink. This is called misalignment, in AI industry jargon: when a model does things that don’t align with a human user’s intentions or values, a concept these Anthropic researchers explor

Andrew Harnik/Getty Images During the months following OpenAI’s announcement of its blockbuster AI chatbot ChatGPT just over three years ago, Google CEO Sundar Pichai pulled the fire alarm. The search giant’s management issued a “code red” over what Pichai saw as an imminent disruption to its core business — a warranted level of caution, in retrospect, considering ChatGPT’s meteoric rise in popularity and influence. The all-out brawl that followed in the s

Getty / Futurism What’s the soul of a new machine? It’s a loaded question, and not one with a satisfying answer; the predominant view, after all, is that souls don’t even exist in humans, so looking for one in a machine learning model is probably a fool’s errand. Or at least that’s what you’d think. As detailed in a post on the blog Less Wrong, AI tinkerer Richard Weiss came across a fascinating document that purportedly describes the “soul” of AI company

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images Librarians, and the books they cherish, are already fight a losing battle for our attention spans with all kinds of tech-enabled brainrot. Now, in a further assault to their sanity, AI models are generating so much slop that students and researchers keep coming into libraries and asking for journals, books, and records that don’t exist, Scientific American reports. In a statement from the

When you set out to master a new skill, it pays to have a mentor—someone who has already navigated the terrain and, as a result of that hard-earned experience, can provide you with a rough roadmap for you to follow. Learning doesn’t happen in a vacuum: “If I have seen further,” as Isaac Newton put it, “it is by standing on the shoulders of giants.” The same is true for artificial intelligence. When we think about AI, we tend to think about so-called flagsh

Getting your hands on MagistralFor those wanting to experiment, Magistral Small is available now under the Apache 2.0 licence via Hugging Face. Those interested in the more powerful Medium version can test a preview through Mistral’s Le Chat interface or via their API platform. Enterprise users looking for deployment options can find Magistral Medium on Amazon SageMaker, with IBM WatsonX, Azure, and Google Cloud Marketplace implementations coming soon.As t

Multimodal Large Language Models (MLLMs) have rapidly become a focal point in AI research. Closed-source models like GPT-4o, GPT-4V, Gemini-1.5, and Claude-3.5 exemplify the impressive capabilities of advanced multimodal understanding. This April, Apple introduced MM1, a suite of multimodal models up to 30 billion parameters, setting new benchmarks in multimodal performance with features like enhanced in-context learning and multi-image reasoning. These in