r/ClaudeAI ovidiuvio
 
Claude stamped the code with an Author and License
 

Putrid-Wafer6725
 
Yes I asked claude code for that and it says it's his default behaviour when asked to use git:
Co-Authored-By: Claude noreply@anthropic.com
 
And I think is ok to have this default, our boy claude needs some attribution

A lawyer representing Anthropic admitted to using an erroneous citation created by the company’s Claude AI chatbot in its ongoing legal battle with music publishers, according to a filing made in a Northern California court on Thursday.
 
Claude hallucinated the citation with “an inaccurate title and inaccurate authors,” Anthropic says in the filing, first reported by Bloomberg. Anthropic’s lawyers explain that their “manual citation check” did not catch it, nor several other errors that were caused by Claude’s hallucinations.
 
Anthropic apologized for the error and called it “an honest citation mistake and not a fabrication of authority.”

@xai
 
We want to update you on an incident that happened with our Grok response bot on X yesterday.
 
What happened:
On May 14 at approximately 3:15 AM PST, an unauthorized modification was made to the Grok response bot's prompt on X. This change, which directed Grok to provide a specific response on a political topic, violated xAI's internal policies and core values. We have conducted a thorough investigation and are implementing measures to enhance Grok's transparency and reliability.
 
What we’re going to do next:
- Starting now, we are publishing our Grok system prompts openly on GitHub. The public will be able to review them and give feedback to every prompt change that we make to Grok. We hope this can help strengthen your trust in Grok as a truth-seeking AI.
- Our existing code review process for prompt changes was circumvented in this incident. We will put in place additional checks and measures to ensure that xAI employees can't modify the prompt without review.
- We’re putting in place a 24/7 monitoring team to respond to incidents with Grok’s answers that are not caught by automated systems, so we can respond faster if all other measures fail.

Today, Box announced our biggest set of AI Agent updates ever. We unveiled all new capabilities to support AI Agents that can do Deep Research, Search, and enhanced Data Extraction on your enterprise content, securely, in Box. And all with a focus on openness and interoperability.
 
Imagine being able to have AI Agents that can comb through any amount of your unstructured data -- contracts, research documents, marketing assets, film scripts, financial documents, invoices, and more -- to produce insights or automate work.  
 
Box AI Agents will enable enterprises to automate a due diligence process on hundreds or thousands of documents in an M&A transaction, correlate customer trends amongst customer surveys and product research data, or analyze life sciences and medical research documents to generate reports on new drug discovery and development.
 
None of this would have been possible even a year ago. But with the cost of AI inference dropping, context windows expanding, reasoning models handling much more complex tasks, and better understanding of designing agentic workflows, this all becomes viable. This is the first year where Agents in the enterprise become practical.
 
And here’s where it gets more fun. We believe in a world where AI Agents work together to complete tasks across platforms. So this means that AI Agents from Box could work across an enterprise's entire AI stack, like Salesforce Agentforce, Google Agentspace, ServiceNow AI Agent Fabric, IBM watsonx, Microsoft Copilot, or eventually ChatGPT, Grok, Perplexity, Claude, and any other product that leverages MCP or the A2A protocol.  
 
So instead of moving your data around between each platform, you can just work where you want and have the agents coordinate together in the background to get the data you need. This is the future of software in an era of AI.
 
These new Box AI Agent capabilities will be rolling out in the coming weeks and months to select design partner customers, and then expand to be generally available from there.

Today we’re launching a research preview of Codex: a cloud-based software engineering agent that can work on many tasks in parallel. Codex can perform tasks for you such as writing features, answering questions about your codebase, fixing bugs, and proposing pull requests for review; each task runs in its own cloud sandbox environment, preloaded with your repository.
 
Codex is powered by codex-1, a version of OpenAI o3 optimized for software engineering. It was trained using reinforcement learning on real-world coding tasks in a variety of environments to generate code that closely mirrors human style and PR preferences, adheres precisely to instructions, and can iteratively run tests until it receives a passing result. We’re starting to roll out Codex to ChatGPT Pro, Enterprise, and Team users today, with support for Plus and Edu coming soon.

Starting today, we’re rolling out Codex to ChatGPT Pro, Enterprise, and Team users globally, with support for Plus and Edu coming soon. Users will have generous access at no additional cost for the coming weeks so you can explore what Codex can do, after which we’ll roll out rate-limited access and flexible pricing options that let you purchase additional usage on-demand. We plan to expand access to Plus and Edu users soon.
 
For developers building with codex-mini-latest, the model is available on the Responses API and priced at $1.50 per 1M input tokens and $6 per 1M output tokens, with a 75% prompt caching discount.

@btibor91
OpenAI released a software engineering agent called "Codex" in ChatGPT (also referenced by the code names "wham" and "l1239dk1" )
 
- Codex is a cloud-based software engineering agent designed to answer questions about codebases, execute code, and draft pull requests - it is powered by codex-1, a new coding model based on OpenAI o3, specifically optimized for working with large codebases and producing cleaner, review-ready patches
 
- Codex currently supports two operational modes - "ask" mode (a faster mode that does not modify code) and "code it" mode
 
- Codex utilizes AGENTS[.]md files located directly in each repository (
these files provide custom instructions and guidelines) - the long-term goal is to establish common specifications and guidelines applicable across all agents (not exclusively Codex)
 
- Each Codex environment can define a repository to work with (currently GitHub only), a container image to use (currently a universal image based on Ubuntu 24.04; custom images may become available soon), specific package versions (e.g., Python, Node.js), environment variables, secrets, and a setup script executed at the beginning of each task (after cloning the repository) - however, internet access is enabled only during this initial setup phase
 
- Codex agents are task-oriented - you initiate work by specifying a task and can either observe the process in real-time or review task logs afterward (these logs include shell outputs and diffs and are accessible through shareable links); additionally, Codex provides diffs for all changes, with the option to copy the resulting patch directly or create a new (draft) pull request on GitHub
 
- Codex is available starting today for ChatGPT Pro, Team, and Enterprise users globally, with support for Plus and Edu users coming soon, and will be free to use for a limited time before rate limits and paid options are introduced
 
- Codex CLI uses a new, smaller model called codex-mini-latest (a version of o4-mini - $1.50 per 1M input tokens and $6 per 1M output tokens, with a 75% prompt caching discount), which is optimized for faster code Q&A and editing in local workflows
 
- Codex CLI now allows sign-in with ChatGPT, automatically configuring API access and letting Plus and Pro users redeem $5 or $50 in free API credits, respectively, for the next 30 days

• Google is expanding access to Gemini Nano, its on-device AI model, through new ML Kit GenAI APIs.
• These new APIs, likely to be announced at I/O 2025, will enable developers to easily implement features like text summarization, proofreading, rewriting, and image description generation in their apps.
• Unlike the experimental AI Edge SDK, ML Kit’s GenAI APIs will be in beta, support image input, and be available on a wider range of Android devices beyond the Pixel 9 series.
  

@OpenAI
 
Plus and Pro users who sign in to Codex CLI with ChatGPT can now redeem $5 and $50 in free API credits, respectively, for the next 30 days.

@taker_of_whizz
claude-4-requiem
 
$120/million tokens output, avg output is 10k tokens.
 

@btibor91
OpenAI increased the monthly limits for ChatGPT deep research this week for Plus, Team, Enterprise, Edu and Pro users
 
- Free - 5 tasks/month using the lightweight version
- Plus & Team - 25 (instead of 10) tasks/month, plus an additional 15 tasks/month using the lightweight version
- Pro - 250 (instead of 125) tasks/month, plus an additional 125 tasks/month using the lightweight version
- Enterprise - 25 (instead of 10) tasks/month

@OfficialLoganK
 
Should we build coding agents into Google AI Studio?

Genspark AI Sheets can import virtually any file—PDFs, Word documents, existing spreadsheets, or even images containing tables—and convert them into intelligent AI Sheets. This preserves your critical data while enhancing it with AI capabilities for deeper analysis and manipulation.

Supported models
 
Only models that support both text and image inputs, such as gpt-4o, gpt-4o-mini, or o1, can accept PDF files as input. Check model features here.

Google NotebookLM mobile app is now available for Android  
Except for mind maps, all features are working, including interactive mode.
Since it's part of the Gemini Advanced subscription, this is huge