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Hi {{First Name|Guys!}}!
This was a big week for OpenAI!
Launch GPT 5.2 tailored for '“professional work”
OpenAI’s first “State of Enterprise AI” report
Disney invests $1.5bn in OpenAI + licensing deal for Sora
Then Disney sues Google for copyright infringement
Launches Adobe Photoshop in ChatGPT
Meanwhile this week:
Meta is pivoting from open source to paid - new AI model called Avocado (what is with the food names lately, OpenAI with Garlic🤭)
Google’s new experimental AI browser “Disco” lets you build custom + interative apps based on their opened tabs (not replacing Chrome but fun!)

Google Disco
Google’s Pomelli (creates social media content for your business) now lets you animate your images into video content (great if want free content without too much effort!)
OpenAI’s GPT 5.2
Sam Altman called “Code Red” after Google’s recent flurry of awesome new AI launches (in particular Gemini 3 Pro, Nano Banana, Veo 3.1, Antigravity and more).
Within the week, GPT 5.2 was launched (code name Garlic) and this was an interesting once because it is tailored more towards “professional work”. This was the complete opposite to GPT 5.1 where they made it friendlier after alot of people were not happy with the cold, less friendly upgrade from GPT 4o.
If we’re talking benchmarks, it beats all the other AI models like Gemini 3 Pro & Claude Opus 4.5 BUT if you know me, I don’t really care. It all comes down to how it performs in real life for users like us but if you want to get these details, it’s here.
Here’s a high level summary:
Agentic capabilities (more end to end workflows) - like asking it to book flights after missing connecting flight, need to stay in New York hotel & require special medical seating
Less hallucination + longer context - This means the answers it gives you can be more accurate. You know when you speak to it for a while and it starts to drift off? Apparently it will do that less and let you know about it instead of just making up something for the sake of giving you an answer
Coding - I’m not an expert in coding but from other devs it looks like it’s more accurate and better at completing longer multistep workflows which previously would have errored or gone into a loop
My 2 examples (my video here)
Clean up messy spreadsheet
GPT 5.1 - swept the unknown or negative numbers under the rug & called it a day
GPT 5.2 - Identified negative numbers as expenses, used logic to sort/tag the outliers which is a big deal if you work with spreadsheets!
Emergency gift bag disaster (need 200 gift bags but missing items & communication is from multiple teams + platforms)
GPT 5.1 - plays inside sandbox & tells CEO we can only deliver 190 gift bags & maybe we should just give the other ones later or give less (so lazy 😒)
GPT 5.2 - is a hustler & thinks outside the box! Asks for approval to source local suppliers (even if it is non branded) to meet the 200 bag requirement + accounts for Gold sponsors which needs more than 200 bags (this sounds like a staff member we definitely want on our team 😂)
Just remember, there’s nothing really new in the above. It’s just much more accurate and better answers.
OpenAI “State of Enterprise AI” Report
This ties in well with OpenAI’s first “State of Enterprise AI” report - great read if you want to find out what the frontier companies are doing at the enterprise level.
Surveyed 9000 staff across 100 companies
Staff saving 40-60min using AI while power users are saving 10hrs/week which is a full work day (can we move to 4 day work weeks now?)
Fastest growing sectors - Technology, healthcare, manufacturing BUT finance and professional services are larger in absolute terms
Australia is leading the way with highest % increase in paid users at 187% followed by Brazil (161%) & Netherlands (153%)
Top 3 things Frontier firms are doing right when adopting AI:
Allowing context + connecting to data to give richer answers/insights (1/4 companies haven’t allowed this yet)
Standard workflows - using things like CustomGPTs for repeatable solutions to common tasks
Change management - embracing culture of change and experimenting brings about more innovation
Here’s my “Cliff’s notes” video summary if you can’t be bothered reading the report!
That’s it for this week!
P.S. Fun way to use GenAI at a wedding - turning wedding guests into part of the entertainment by making them do silly things! Check out the video here.

Cheers,
Nat
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