WordPress.com has launched a new AI site builder that allows anyone to create a functioning website using an AI chat-style interface.

Artificial General Intelligence (AGI) promises transformative benefits but also presents significant risks. We develop an approach to address the risk of harms consequential enough to significantly harm humanity. We identify four areas of risk: misuse, misalignment, mistakes, and structural risks. Of these, we focus on technical approaches to misuse and misalignment. For misuse, our strategy aims to prevent threat actors from accessing dangerous capabilities, by proactively identifying dangerous capabilities, and implementing robust security, access restrictions, monitoring, and model safety mitigations. To address misalignment, we outline two lines of defense. First, model-level mitigations such as amplified oversight and robust training can help to build an aligned model. Second, system-level security measures such as monitoring and access control can mitigate harm even if the model is misaligned. Techniques from interpretability, uncertainty estimation, and safer design patterns c

• We’re sharing the first models in the Llama 4 herd, which will enable people to build more personalized multimodal experiences.
• Llama 4 Scout, a 17 billion active parameter model with 16 experts, is the best multimodal model in the world in its class and is more powerful than all previous generation Llama models, while fitting in a single H100 GPU. Additionally, Llama 4 Scout offers an industry-leading context window of 10M and delivers better results than Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1 across a broad range of widely reported benchmarks.
• Llama 4 Maverick, a 17 billion active parameter model with 128 experts, is the best multimodal model in its class, beating GPT-4o and Gemini 2.0 Flash across a broad range of widely reported benchmarks, while achieving comparable results to the new DeepSeek v3 on reasoning and coding—at less than half the active parameters. Llama 4 Maverick offers a best-in-class performance to cost ratio with an experimental chat version s

cross-posted from: https://lemmy.sdf.org/post/31892983

Archived

TLDR:

• China has developed an Artificial Intelligence (AI) system that adds to its already powerful censorship machine, scanning content for all kinds of topics like corruption, military issues, Taiwan politics, satire
• The discovery was accidental, security researchers found an Elasticsearch database unsecured on the web, hosted by Chinese company Baidu
• Experts highlight that AI-driven censorship is evolving to make state control over public discourse even more sophisticated, especially after recent releases like China's AI model DeepSeek

A complaint about poverty in rural China. A news report about a corrupt Communist Party member. A cry for help about corrupt cops shaking down entrepreneurs.

These are just a few of the 133,000 examples fed into a sophisticat

This blog-post compares the coding capabilites of new Gemini 2.5 Pro experimental and Claude 3.7 Sonnet (thinking)

With Cline + Gemini 2.5 Pro, one can get the exact same feature set that Cursor and Windsurf provide. They only call the APIs of the big LLM Providers without an advanced secret sauce.

It‘s even the opposite - they worsen model performance by limiting context size. The key advantage, the fixed monthly costs instead of variable API usage, is now gone with Gemini 2.5 Pro…

What is left that justifies their ridiculous valuation atm?

Gemini 2.5 is our most intelligent AI model, now with thinking.

cross-posted from: https://lemmy.sdf.org/post/31583546

Archived

Security researcher Tenable successfully used DeepSeek to create a keylogger that could hide an encrypted log file on disk as well as develop a simple ransomware executable.

At its core, DeepSeek can create the basic structure for malware. However, it is not capable of doing so without additional prompt engineering as well as manual code editing for more advanced features. For instance, DeepSeek struggled with implementing process hiding. "We got the DLL injection code it had generated working, but it required lots of manual intervention," Tenable writes in its report.

**"Nonetheless, DeepSeek provides a useful compilation of techniques and search terms that can help someone with no prior experience in writing malicious code the ability to quickly famil

cross-posted from: https://lemmy.sdf.org/post/31552333

A Trust Report for DeepSeek R1 by VIJIL, a security resercher company, indicates critical levels of risk with security and ethics, high levels of risk with privacy, stereotype, toxicity, hallucination, and fairness, a moderate level of risk with performance, and a low level of risk with robustness.