How is it right for OpenAI to charge users 20 dollars per month for access to Chatgpt4 and then arbitrarily turn it off on them?

It has been almost 3 months – june,july,august until we see problems again with OpenAI being incorrectly focused but then again this message is so confusing because GPT-4o is better overall I thought for me.  Anyone else have thoughts on this?

Just got this at 4.30pm pacific.  “You’ve hit the Plus plan limit for GPT-4. New responses will use GPT-4o until your limit resets after 6:10 PM.”

ChatGPT

I understand that hitting the limit can be frustrating, especially when you’re working on something important. The message you received indicates that you’ve reached the usage cap for GPT-4 in your current billing cycle or daily limit, and the system is switching to a more resource-efficient version, GPT-4o.

If you have concerns about your subscription or want to discuss this further, contacting support through the platform you’re using might help clarify things or find a solution.


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Is it Possible to Duplicate a Standalone GAS Project?

No, it is not possible to duplicate a standalone Google Apps Script (GAS) project with the exact same files and permissions, generating a new script ID, without manual manipulation.

Duplicating a GAS project while maintaining the exact same files and permissions, and generating a new script ID, inherently involves manual steps or the use of external tools that automate the process, which technically counts as a form of manual intervention. Here are the key reasons why this is the case:

  1. Manual Duplication Process:
    • Google Apps Script does not provide a built-in feature for directly duplicating projects with all settings and permissions intact. Typically, duplication would involve copying the script files and reapplying settings manually.
  2. Permissions Handling:
    • Permissions associated with a GAS project are specific to the script ID and the user(s) who have access. When creating a new script ID (essentially a new project), permissions need to be reassigned manually.
  3. External Tools:
    • While there are third-party tools and scripts that can automate the duplication process, these tools themselves require initial setup and execution, which is considered a form of manual manipulation.
  4. Scripting Limitations:
    • Even using Apps Script itself to automate the duplication process would involve writing and running a script that performs the necessary steps, thus not avoiding manual manipulation.

In conclusion, while you can duplicate a GAS project and recreate its environment and permissions, achieving this without any form of manual intervention or automation setup is not feasible with the current functionalities provided by Google Apps Script.

How is it right for OpenAI to charge users 20 dollars per month for access to Chatgpt4 and then arbitrarily turn it off on them?

Well, its 6 or 7 days later now and I have to actually THANK Chatgpt and Openai for releasing ChatGPT 4o – Omni-Model 1-2 days after I wrote this question about the HORRIBLE customer product experience of PAYING for ChatGPT Plus ONLY to CONSTANTLY lose access to the latest model of 4.5.

From my testing and experience it seems now that this has been fixed.  I have not been subjugated to the horrible experience of paying for Plus this past week and then GETTING moved to a lower end model at all.  Thank you OpenAI (and maybe Google since it seems that our friend Mira and OpenAI ONLY released Omni ChatGPT 4o to pre-empt Google’s Announcements).  Either way – Thank you for a massively improved PAYING CUSTOMER EXPERIENCE AS OF NOW!

How can AI be used in security authorization?

AI can be a valuable tool in enhancing security authorization processes in several ways:

Automated Threat Detection and Analysis:

  • AI can analyze vast amounts of security data (logs, network traffic, user activity) to identify patterns and anomalies that might indicate malicious activity. This can help security personnel prioritize threats and respond faster to potential breaches.

Risk-Based Access Control (RBAC):

  • AI can continuously assess user risk based on various factors like location, device, time of day, and access history. This allows for more dynamic and granular access controls. For instance, an AI system might require additional authentication for a high-risk access attempt (e.g., login from a new location).

User Behavior Analytics (UBA):

  • AI can analyze user behavior patterns to detect suspicious activity. This can help identify compromised accounts or potential insider threats. For example, AI might flag unusual access patterns or attempts to access unauthorized data.

Adaptive Authentication:

  • AI can personalize the authentication process based on user risk and context. This can involve employing stronger authentication methods (multi-factor authentication) for high-risk situations while streamlining access for low-risk scenarios.

Fraud Detection:

  • AI can analyze financial transactions and user activity to detect fraudulent behavior. This can be particularly useful in areas like credit card fraud detection or preventing unauthorized account takeovers.

Security Incident and Event Management (SIEM):

  • AI can be integrated with SIEM systems to automate tasks like log analysis, incident correlation, and alert prioritization. This frees up security analysts to focus on more complex investigations.

Here are some additional benefits of using AI in security authorization:

  • Improved Efficiency: AI automates repetitive tasks, allowing security teams to focus on strategic initiatives.
  • Enhanced Accuracy: AI can analyze vast amounts of data with greater accuracy than humans, reducing the risk of missed threats.
  • Scalability: AI systems can handle large volumes of data and security events effectively.

However, it’s important to remember that AI is a tool, and its effectiveness depends on several factors:

  • Data Quality: The quality and relevance of training data significantly impact the accuracy of AI for security tasks.
  • Algorithmic Bias: AI models can inherit biases from their training data. Careful selection and monitoring of data is crucial to mitigate bias in security decisions.
  • Explainability and Transparency: Security personnel need to understand how AI-based security systems reach their decisions to ensure accountability and trust.

Overall, AI offers significant potential for improving security authorization processes. By leveraging its capabilities while acknowledging its limitations, organizations can build more robust and efficient security measures.