AI Pulse

Liquid AI has introduced a new vision-language foundation model known as LFM2-VL, which is tailored for efficient deployment across various hardware, including smartphones, laptops, wearables, and embedded systems. This model is designed to deliver low-latency performance, strong accuracy, and adaptability for real-world applications. LFM2-VL is an iteration on the company’s previous LFM2 architecture, launched over […]

Russia’s APT28 group is reportedly utilizing LLM-powered malware in attacks against Ukraine, while underground platforms offer similar capabilities for a subscription fee of $250 per month. Recently, Ukraine’s CERT-UA highlighted the emergence of LAMEHUG, the first known instance of LLM-powered malware observed in active use. This malware, which has been linked to APT28, takes advantage

OpenAI has reinstated GPT-4o as the default language model for all paying subscribers of ChatGPT, including those on the Plus, Pro, Team, Enterprise, and Edu tiers. Users will no longer need to enable a “show legacy models” setting to access GPT-4o. Additionally, a new “Show additional models” setting will allow access to GPT-4.1, o3, and

OpenAI recently released gpt-oss, a powerful open-weight large language model (LLM) family, under the Apache 2.0 license. This marks the company’s first open weights model launch since GPT-2 in 2019. Following the release, Jack Morris, a PhD student at Cornell Tech, unveiled a modified version, gpt-oss-20b-base, which removes the “reasoning” behaviors of the original model,

Physical AI, which combines robotics and foundation models, is an emerging field with significant interest from companies like Nvidia, Google, and Meta. These organizations are exploring ways to integrate large language models (LLMs) with robotic systems. Recent research from the Allen Institute for AI (Ai2) introduces MolmoAct 7B, a new open-source model designed to enhance

OpenAI has recently released Chat GPT-5, bringing the concept of general-purpose superintelligence closer to reality. This has raised concerns about how prepared society is for the potential impact of such advanced AI. Many individuals express worries about various aspects of AI, including job market disruptions and the concentration of power among major AI firms; however,

A recent study conducted by Nous Research highlights that open-source artificial intelligence models consume significantly more computing resources compared to closed-source models when performing the same tasks. This finding raises questions about the cost-effectiveness of open-source AI in enterprise applications. The research found that open-weight models utilize 1.5 to 4 times more tokens, the fundamental

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