All AI news
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Running Codex safely at OpenAI
OpenAI is enhancing Codex to prevent it from generating irrelevant content. This update aims to make Codex more effective for real-world applications.
v2.1.105
Claude just released version 2.1.105 with various bug fixes and performance improvements. Users can expect a smoother experience and more reliable outputs from the AI.
v2.1.101
Claude just released version 2.1.101, which includes various performance improvements and bug fixes. Users can expect a smoother experience and enhanced reliability in their interactions.
v2.1.98
Claude just released version 2.1.98 with various bug fixes and performance improvements. Users can expect a smoother experience and enhanced reliability in their interactions.
llm-gemini 0.31
Gemini just released version 0.31, enhancing its capabilities with improved performance and new features. Users can expect a more robust experience with better handling of complex tasks and queries.
v2.1.97
Claude just released version 2.1.97, which includes various bug fixes and performance improvements. Users can expect a smoother experience and better reliability in their interactions.
v2.1.94
Claude just released version 2.1.94, which includes various bug fixes and performance improvements. Users can expect a smoother experience and enhanced reliability in their interactions.
v2.1.96
Claude just released version 2.1.96 with various bug fixes and performance improvements. Users can expect a smoother experience with enhanced stability and responsiveness.
v2.1.109
Claude just released version 2.1.109 with improvements to its coding capabilities. Users can expect more accurate code generation and better handling of complex programming tasks.
v2.1.113
Claude just released version 2.1.113, enhancing its coding capabilities with better context understanding and error handling. Users can expect more accurate code suggestions and improved debugging support.
v2.1.112
Claude just released version 2.1.112, introducing several performance improvements and bug fixes. Users can expect a smoother experience with enhanced stability and efficiency.
ChatGPT update rolls out GPT-5.5 Instant with fewer hallucinations and more personalized answers
OpenAI just rolled out GPT-5.5 Instant, reducing hallucinations and enhancing personalization in responses. Users can expect more accurate and tailored answers from their interactions.

OpenAI releases GPT-5.5 Instant, a new default model for ChatGPT
OpenAI just released GPT-5.5 Instant as the new default model for ChatGPT. This update improves response speed and accuracy, enhancing user experience during interactions.
OpenAI claims ChatGPT’s new default model hallucinates way less
OpenAI claims ChatGPT's new default model hallucinates way less. This update aims to improve user trust and reliability in AI-generated responses.

ChatGPT's goblin obsession may be hilarious, but it points to a deeper problem in AI training
OpenAI is addressing ChatGPT's tendency to generate off-topic content, like random goblin references. They're refining the training process to enhance its relevance and usability in real-world applications.

After dissing Anthropic for limiting Mythos, OpenAI restricts access to Cyber, too
OpenAI is restricting access to its Cyber model after previously criticizing Anthropic for limiting Mythos. This move signals a tightening of access to AI models, impacting how developers and researchers can utilize these tools.
Elon Musk testifies that xAI trained Grok on OpenAI models
Elon Musk testifies that xAI trained its Grok chatbot using OpenAI models. This means Grok leverages established AI capabilities to enhance its performance and user interactions.
Where the goblins came from
OpenAI is tightening Codex's outputs to prevent it from generating irrelevant content like random goblin references. This change aims to improve usability in real workflows for developers.
OpenAI Really Wants Codex to Shut Up About Goblins
OpenAI is addressing concerns regarding its Codex model, particularly its tendency to generate inappropriate or irrelevant content, such as references to goblins. The company is focused on refining Codex to improve its performance and ensure it aligns more closely with user expectations and needs.
Here is what an LLM that knows nothing after 1930 thinks our world looks like in 2026
The article explores the perspective of a large language model (LLM) that has no knowledge of events or developments after 1930, speculating on what it might envision for the world in 2026. It highlights the limitations of such an LLM in understanding contemporary society and technological advancements. The discussion emphasizes the gap between historical knowledge and current realities in AI models.
