ChatGPT-5 Key Points:

• Simplification: OpenAI has merged its various models into a single ChatGPT-5, simplifying the user interface. An auto-selector feature now analyses the prompt and chooses the appropriate processing model, leading to greater use of its "deep thinking" capabilities.

• Legacy Access: After initial backlash, OpenAI has allowed users to revert to older models like GPT-4.

• Performance: The new model feels quicker, and token usage is cheaper.

• Expectations vs. Reality: The update is seen as an incremental improvement rather than the "game-changing step change" many anticipated.

• Accuracy: OpenAI claims it hallucinates less, but Danny & Jonathan both stress the continued need for human verification. Getting accurate results requires more precise context in prompts. The model is also reportedly less overly agreeable than previous versions. Remember the 3Ts - time you need to invest into the output, truth - how truthful is the answer and trust - do you trust the output enough to put your own name and reputation on it

General AI Market & Advice:

• Claude has also reduced its prices, following suit with OpenAI. It’s a race to the bottom in terms of pricing

• The hosts note that the AI landscape is a constant "arms race," meaning the "best" model changes frequently and depends on the specific task.

• The main advice for users is to experiment with different platforms (ChatGPT, Claude, etc.) to find the one LLM you prefer. They emphasise treating AI like a "junior coworker" whose work must be verified for accuracy and truthfulness before use.

Want to connect with Danny Denhard & Jonathan Wagstaffe

• Danny on LinkedIn - https://www.linkedin.com/in/dannydenhard/

• Jonathan on LinkedIn - https://www.linkedin.com/in/wagstaffe/

Do you have feedback or questions email us ai@dannydenhard.com

Remember to hit follow or subscribe in your favorite podcast app and if you would like to help spread the word, please share the AI Moment podcast or rate and review the podcast.

AI Integrations Not So Fast Podcast Show Notes

Thanks for listening to the AI Moment podcast today.

This conversation between Danny and Jonathan discusses new AI integrations, highlighting ChatGPT's connections with HubSpot and Google Docs.

Jonathan explains the significant opportunities these integrations create: analysing CRM data to identify prospects similar to successful customers, interrogating Google Docs for insights, and using AI to understand communication styles from email exchanges.

Danny shares the example of the Netflix's CMO using ChatGPT for 360 reviews as an executive example.

A key benefit is potentially improving CRM data quality - salespeople may be more motivated to input accurate data if they see AI can surface valuable opportunities from it.

However, both emphasize critical security considerations. Users must disable model training in ChatGPT settings and consider turning off conversation memory.

Danny stresses using corporate accounts rather than personal ones to maintain organizational control and security.

The core executive takeaway: these integrations offer powerful data analysis opportunities but require proper security setup and corporate governance to avoid "Shadow AI" risks while maximising benefits safely.

Links for tools mentioned:

• ChatGPT: www.chat.com

• Hubspot in ChatGPT: https://knowledge.hubspot.com/integrations/connect-your-hubspot-account-to-chatgpt

Want to connect with Danny Denhard & Jonathan Wagstaffe

• Danny on LinkedIn - https://www.linkedin.com/in/dannydenhard/

• Jonathan on LinkedIn - https://www.linkedin.com/in/wagstaffe/

Do you have feedback or questions email us ai@dannydenhard.com

Remember to hit follow or subscribe in your favorite podcast app and if you would like to help spread the word, please share the AI Moment podcast or rate and review the podcast.

Thanks for listening to the AI Moment podcast today.

In this podcast we tackle the hot topic of AI policies vs AI manifestos.

Why? Standard AI policies are often restrictive, focusing on what employees cannot do. While necessary for legal and IT security, these "dumb" policies can stifle innovation and encourage "shadow AI"—the secret use of unapproved tools.

We recommended our solution: to create an "AI manifesto" alongside the policy.

Why?

• A manifesto is a proactive and visionary document that outlines how the company will use AI to achieve its goals.

• It acts as a set of encouraging guardrails, defining opportunities, aligning with company values, and promoting experimentation within safe boundaries.

This dual approach empowers teams in departments like marketing and sales to innovate responsibly.

The core executive takeaway: By first establishing a vision and guiding principles with a manifesto, companies can foster a positive and productive AI culture, ensuring the technology is used effectively and safely, rather than being driven underground by fear of breaking rules.

Want to connect with Danny Denhard & Jonathan Wagstaffe

• Danny on LinkedIn - https://www.linkedin.com/in/dannydenhard/

• Jonathan on LinkedIn - https://www.linkedin.com/in/wagstaffe/

Do you have feedback or questions email us ai@dannydenhard.com

Remember to hit follow or subscribe in your favorite podcast app and if you would like to help spread the word, please share the AI Moment podcast or rate and review the podcast.