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In today’s AI news, OpenAI will ship GPT-5 in a matter of months and streamline its AI models into more unified products, said CEO Sam Altman in an update. Specifically, Altman says the company plans to launch GPT-4.5 as its last non-chain-of-thought model and integrate its latest o3 reasoning model into GPT-5.

In other advancements, Harvey, a San Francisco AI startup focused on the legal industry, has raised $300 million in a funding round led by Sequoia that values the startup at $3 billion — double the amount investors valued it at in July. The Series D funding round builds on the momentum and reflects investors’ enthusiasm for AI tools …

Meanwhile, Meta is in talks to acquire South Korean AI chip startup FuriosaAI, according to people familiar with the matter, a deal that could boost the social media giant’s custom chip efforts amid a shortage of Nvidia chips and a growing demand for alternatives. The deal could be completed as early as this month.

Then, AI took another step into Hollywood today with the launch of a new filmmaking tool from showbiz startup Flawless. The product — named DeepEditor — promises cinematic wizardry for the digital age. For movie makers, the tool offers photorealistic edits without a costly return to set.

In videos, join IBM’s Boris Sobolev as he explains how model customization can enhance reliability and decision-making of agentic systems. Discover practical tips for data collection, tool use, and pushing the boundaries of what your AI can achieve. Supercharge your AI agents for peak performance!

Continue reading “Sam Altman Announces GPT-5 Timeline Update, Cancels o3 As Standalone Model” | >

Washington State University scientists have developed genetically engineered mice that could help accelerate anti-aging research.

Globally, researchers are striving to unlock the secrets of extending human lifespan at the cellular level, where aging occurs gradually due to the shortening of telomeres—the protective caps at the ends of chromosomes that function like shoelace tips, preventing unraveling. As telomeres shorten over time, cells lose their ability to divide for healthy growth, and some eventually begin to die.

However, studying telomeres at the cellular level has been challenging in humans.

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As AIs rapidly advance and become more agentic, the risk they pose is governed not only by their capabilities but increasingly by their propensities, including goals and values. Tracking the emergence of goals and values has proven a longstanding problem, and despite much interest over the years it remains unclear whether current AIs have meaningful values. We propose a solution to this problem, leveraging the framework of utility functions to study the internal coherence of AI preferences. Surprisingly, we find that independently-sampled preferences in current LLMs exhibit high degrees of structural coherence, and moreover that this emerges with scale. These findings suggest that value systems emerge in LLMs in a meaningful sense, a finding with broad implications. To study these emergent value systems, we propose utility engineering as a research agenda, comprising both the analysis and control of AI utilities. We uncover problematic and often shocking values in LLM assistants despite existing control measures. These include cases where AIs value themselves over humans and are anti-aligned with specific individuals. To constrain these emergent value systems, we propose methods of utility control. As a case study, we show how aligning utilities with a citizen assembly reduces political biases and generalizes to new scenarios. Whether we like it or not, value systems have already emerged in AIs, and much work remains to fully understand and control these emergent representations.

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Researchers at the Institute of Science and Technology in Austria (ISTA) have achieved a major milestone in quantum computing after obtaining a complete optical readout of superconducting qubits.

This will help in building scalable quantum computers that are robust, operate at room temperature, and at a much lower cost, a press release said.

Quantum computers are the next frontier of computing, allowing calculations to occur at exponential rates compared to classical computers.

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