venturebeat
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises with a better understanding of how these models make decisions. Understanding how models choose to respond, a big selling point of reasoning models for enterprises, can provide a level of trust for organizations when they turn to AI models for insights. The method called for OpenAI scientists and researchers to look at and evaluate models not by analyzing post-training performance, but by adding interpretability or understanding through sparse circuits.OpenAI notes that much of the opacity of AI models stems from how most models are designed, so to gain a better understanding of model behavio [...]

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venturebeat
Microsoft and OpenAI gut their exclusive deal, freeing OpenAI to sell on AWS and Google Cloud

Microsoft and OpenAI on Monday announced a sweeping overhaul of the partnership that has defined the commercial AI era, dismantling key pillars of exclusivity and revenue-sharing that bound the two co [...]

Match Score: 91.56

venturebeat
Red teaming LLMs exposes a harsh truth about the AI security arms race

Unrelenting, persistent attacks on frontier models make them fail, with the patterns of failure varying by model and developer. Red teaming shows that it’s not the sophisticated, complex attacks tha [...]

Match Score: 79.57

venturebeat
Anthropic scientists hacked Claude’s brain — and it noticed. Here’s why that’s huge

When researchers at Anthropic injected the concept of "betrayal" into their Claude AI model's neural networks and asked if it noticed anything unusual, the system paused before respondi [...]

Match Score: 76.82

venturebeat
IndexCache, a new sparse attention optimizer, delivers 1.82x faster inference on long-context AI models

Processing 200,000 tokens through a large language model is expensive and slow: the longer the context, the faster the costs spiral. Researchers at Tsinghua University and Z.ai have built a technique [...]

Match Score: 75.84

venturebeat
OpenAI deploys Cerebras chips for 15x faster code generation in first major move beyond Nvidia

OpenAI on Thursday launched GPT-5.3-Codex-Spark, a stripped-down coding model engineered for near-instantaneous response times, marking the company's first significant inference partnership outsi [...]

Match Score: 71.14

venturebeat
Legacy IAM was built for humans — and AI agents now outnumber them 82 to 1

Active Directory, LDAP, and early PAM were built for humans. AI agents and machines were the exception. Today, they outnumber people 82 to 1, and that human-first identity model is breaking down at ma [...]

Match Score: 68.12

venturebeat
MiniMax-M3 debuts, eclipsing GPT-5.5 and Gemini 3.1 Pro on key benchmark performance for just 5-10% of the cost

Big news in enterprise AI broke over the weekend as Chinese AI startup MiniMax released its highly anticipated M3 large language model on Sunday evening Eastern time, pairing frontier-tier coding and [...]

Match Score: 64.20

venturebeat
Amazon’s OpenAI gambit signals a new phase in the cloud wars — one where exclusivity no longer applies

Amazon Web Services on Tuesday launched one of the most consequential enterprise AI plays in the company's 20-year history, simultaneously bringing OpenAI's most powerful models to its Bedro [...]

Match Score: 63.13

venturebeat
Meituan open sources LongCat-2.0, the 1.6T, near-frontier agentic coding model that's been leading OpenRouter — trained entirely on Chinese chips

A few hours ago, Chinese delivery app company Meituan officially unveiled LongCat-2.0 on GitHub, Hugging Face, and its native platform, unmasking the model as the computational engine behind "Owl [...]

Match Score: 61.75