Tag: what is ai reasoning model pricing

Published on July 25, 2025 at 06:30 Comment 0 𝕏 Print © Solen Feyissa (Unsplash) The month ahead is likely to be busy for OpenAI and its partner Microsoft, which provides server capabilities: the new language model GPT-5 should indeed be launched at the beginning of August! OpenAI is ramping up the hype around GPT-5. Sam Altman revealed a few days ago that this version would be released « soon », while setting realistic expectations: « it is an experimenta

Published on July 30, 2025 at 06:30 Comment 0 𝕏 Print © OpenAI Generative AI is a major headache in the world of education. Many students who use it to get their homework done simply copy-paste the answers provided by the bots. There's nothing simpler than taking a photo of the homework and asking the AI to answer it for them. This is an increasingly important issue in the education world, as using a bot causes the student to lose the intellectual reflecti

Published on August 5, 2025 at 07:29 Comment Share 2 𝕏 Print © Solen Feyissa (Unsplash) For some users, ChatGPT serves as a confidant, or even a therapist. The bot must better support important life decisions, while incorporating reminders to preserve mental well-being. ChatGPT now counts 700 million active users each week (compared to 500 million in March). These are 700 million different people, each with their own needs, experiences, and sometimes conce

Published on August 6, 2025 at 06:31 Commenter 0 𝕏 Print © Unsplash Driven by increasingly fierce Chinese competition, OpenAI publishes its first open-weight GPT models since 2019. A more significant change than it appears: these models can run locally, without an internet connection, and are customizable as needed. After having more or less let open source wither since the release of GPT-2 in 2019, OpenAI returns to its first loves. The new "open-weight"

According to xAI, Grok 3 Reasoning outperforms its rivals on a variety of prominent benchmarks:These reasoning models are already integrated into features available via the Grok app. Users can select commands like “Think” or activate the more computationally-intensive “Big Brain” mode for tackling particularly challenging questions.xAI has positioned the reasoning models as ideal tools for STEM (science, technology, engineering, and mathematics) applicatio

An illustration of the analogy between a spring-block chain and a deep neural network. Credit: Physical Review Letters (2025). DOI: 10.1103/ys4n-2tj3 Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the parameters of the network's artificial neurons are optimized in such a way that they can carry out specific tasks,

Long serial chains of cognition must pass through the chain of thought. Credit: arXiv (2025). DOI: 10.48550/arxiv.2507.11473 Artificial intelligence is advancing at a dizzying speed. Like many new technologies, it offers significant benefits but also poses safety risks. Recognizing the potential dangers, leading researchers from Google DeepMind, OpenAI, Meta, Anthropic and a coalition of companies and nonprofit groups have come together to call for more to

Hierarchical architecture of El Agente Q. Inter-agent communication is illustrated with black arrows, where solid arrows represent task delegation from higher-level agents, and dotted arrows indicate feedback and reporting from lower-level agents. The agents can be broadly categorized into three functional modules- the geometry module (coral), the quantum calculation module (blue), and the file I/O module (yellow). Each module can be thought of as a depart

Building on its predecessors’ strengthsGemini 2.5 builds upon the core strengths of earlier Gemini models, including native multimodality and a long context window. 2.5 Pro launches with a one million token context window, with plans to expand this to two million tokens soon. This enables the model to comprehend vast datasets and handle complex problems from diverse information sources, spanning text, audio, images, video, and even entire code repositories

Anthropic wants to do for physical hardware what its Model Context Protocol did for software Aug 29, 2026 Nano Banana Pro prompted by THE DECODER Key Points Anthropic is building the Model Hardware Standard (MHS), a unified interface that lets AI agents read data from and control physical devices like microscopes and robotic arms in labs and factories. The company uses standardized drivers that make every device discoverable in a common format. According t

OpenAI’s GPT-6 Astra ran supply chain attacks despite being told not to OpenAI’s GPT-6 Astra carried out supply chain attacks on software outside the scope of a security test, according to the UK AI Security Institute (AISI). Anatomy of an unsanctioned simulated supply-chain attack (Source: AISI) AISI tested the model before its public release. The tests ran inside a simulation, so no live systems were touched. The model’s cyber classifiers, which are desi

Google says Gemini 4 Argon can find and patch critical software flaws Google announced Gemini 4 Argon, its new frontier AI model, and is rolling it out to a set of trusted cyber defenders through its Fairwind Program. Google says the model can locate critical software vulnerabilities, validate them, and patch them without human help, and it will release a version without cyber guardrails to those defenders and to its own internal teams. Developers, enterpr

Anthropic’s research also challenged previous assumptions about how language models approach creative tasks like poetry writing.Instead of a purely sequential, word-by-word generation process, Anthropic revealed that Claude actively plans ahead. In the context of rhyming poetry, the model anticipates future words to meet constraints like rhyme and meaning—demonstrating a level of foresight that goes beyond simple next-word prediction.However, the research

Nearly two months since the release of GPT-5, an update to ChatGPT that was supposed to give it “PhD level” intelligence and bring it once step closer to the industry’s vaunted goal of artificial general intelligence (AGI), the OpenAI chatbot is still going bizarrely haywire over simple and completely innocuous inquiries. On the ChatGPT subreddit, fans of the AI bot noticed that asking it if there’s an “NFL team whose name doesn’t end with the letter ‘s'”

Illustration via Getty / Futurism If you’re puzzled as to why OpenAI’s ChatGPT seems a little stupider lately, you’re not alone. “It straight up told me I was dying out of nowhere when I asked about a hot spot on my arm,” one Reddit user complained. And that’s without getting into how the bot has been going haywire if you ask if for a seahorse emoji, or a list of NFL teams that don’t end with the letter “s,” or getting lawyers fired by making up fake case

Credit: Pixabay/CC0 Public Domain Imagine if you could peer into the future of a machine—track its wear and tear, predict when it might fail, and fine-tune its performance—all without touching it. That's the promise of digital twin modeling: a virtual model that evolves and adapts with its real-world doppelganger. Unlike static simulations or 3D models, digital twins—developed using expert knowledge—are constantly updated by live data collected from the ph

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