Big_Red_Dawg_Dallas

[Church of the Holy Communion Cathedral @CHC_Cathedral]

Experience Scripture & Sacred music in harmony—join us for The Festival of Christmas Lessons & Carols .
Invite a friend and worship with us.
Pre-Concert at 6:30pm
Lessons & Carols at 7:00pm
Reception to follow
#LessonsAndCarols #AnglicanTradition

[Church of the Holy Communion Cathedral @CHC_Cathedral]

Begin your Thanksgiving in gratitude as you join us at Church of the Holy Communion for a reverent Thanksgiving Eve service of prayer, praise, and thanksgiving at 6 PM. https://t.co/f0iIxPXGrW
#ChristmasAtCHC #FamilyEvent #HolyCommunionDallas #AnglicanChurch

[Church of the Holy Communion Cathedral @CHC_Cathedral]

Listen in for great lessons from Bishop Camlin on the book of Isaiah. https://t.co/Og553YPScy #theAnglicanWay #BibleStudy

[Church of the Holy Communion Cathedral @CHC_Cathedral]

The Anglican Compass is publishing a series on St. Augustine. "Augustine is no tin saint… he’s like you and me. As we’ll see, he was a great sinner who was made a great saint by our great Savior." Give them a read. #ReformedEpiscopalChurch #StAugustine
https://t.co/l0didKE5U7

[Big_Red_Dawg_Dallas @colopez2]

@The_ACNA Hye guys, 404 error. Bad link.

[Anglican Way Institute @AWI_Conference]

Dr. Guido Verbek "Apology for Apology" @CHC_Cathedral @RECACNA @The_ACNA #AnglicanWay2024 #reclaimscience

[Big_Red_Dawg_Dallas @colopez2]

The Anglican Way Institute is next week. Dr. Alister McGrath -- Scholar, Scientist, and Theologian will headline the event. Join us for a great event. https://t.co/KuZI3tTTT8
#AWI #faithandscientism @RECACNA @The_ACNA

[Church of the Holy Communion Cathedral @CHC_Cathedral]

Come to the Anglican Way Institute and hear Dr. Alister McGrath noted scholar, theologian and scientist. https://t.co/fDt2dFNTPR #AWI @RECACNA

[Church of the Holy Communion Cathedral @CHC_Cathedral]

A fabulous evening with @malcolmguite -- Anglican poet and priest. #poetry #jazz #improv

[Big_Red_Dawg_Dallas @colopez2]

Enjoying and evening with a very special Anglican poet, some Jazz, and my bride Felicity. @malcolmguite #poetry #poetrylovers

[Malcolm Guite @malcolmguite]

for this #spellinthelibrary I read you Keats's Ode to Psyche and reflect a little on why it is a poem for our time https://t.co/rUTeNQnuqm

[DailyChoices @DailyChoicesMag]

Some movies are just hard to understand, leaving you in utter confusion at the end. The credits have long since rolled, but now your time is dedicated to figuring out this confusing conclusion. Well, not anymore, we are here to help.

[Big_Red_Dawg_Dallas @colopez2]

A bit of hyperbole? Maybe. However, worth thinking about unintended consequences and worth watching The A.I. Dilemma and also listening to @shellypalmer and his thoughts on this video. @OfficialJimLin would love your thoughts on this, my futurist friend. https://t.co/i8SBBY3VzH

[Shelly Palmer @shellypalmer]

OpenAI CEO Sam Altman has signaled a potential shift in AI research strategy, suggesting that the era of ever-larger language models (LLMs) may be coming to an end. While OpenAI's GPT-4 was developed through scaling up and fed trillions of words at a cost exceeding $100 million, Altman believes that future advancements won't come from size but by improving models in other ways.

Could GPT-4 be the last major breakthrough to emerge from the current approach of scaling up models? Both Altman and Cohere co-founder Nick Frosst see progress in AI development lying beyond scaling transformers. New AI model designs, architectures, and fine-tuning based on human feedback are considered promising directions for future research.

The idea that larger and larger LLMs may not be the path to greater GPT capabilities raises some interesting questions. Where will the value of generative AI be created? If not at the big tech infrastructure level, then where? The model level? The app level? A combination of all three? If you're trying to formulate an investment thesis for your business (or your own portfolio), this is certainly food for thought.

#openai #chatgpt #gpt4 #llm #largelanguagemodel #ai #artificialintelligence

[Shelly Palmer @shellypalmer]

Be honest – how often do you read the Terms & Conditions for the online services you use? If you're like most people, the answer is "almost never." That's fine for some things, but today, I want you to read Section 3, Paragraph (c) of OpenAI's Terms of Use. It is the most important thing you are going to read this morning:

(c) Use of Content to Improve Services. We do not use Content that you provide to or receive from our API (“API Content”) to develop or improve our Services. We may use Content from Services other than our API (“Non-API Content”) to help develop and improve our Services. You can read more here about how Non-API Content may be used to improve model performance. If you do not want your Non-API Content used to improve Services, you can opt out by filling out this form. Please note that in some cases this may limit the ability of our Services to better address your specific use case.

I call your attention to this sentence: "We may use Content from Services other than our API (“Non-API Content”) to help develop and improve our Services." This means that anything you cut and paste or type into ChatGPT (which is specifically what they mean by "Non-API Content") may be seen by someone who works for OpenAI.

The (obvious) policy for your organization should be: "Do not prompt ChatGPT with any proprietary or non-public data." Importantly, this warning does not apply to the API. When you build an application that uses one of OpenAI's APIs, the commercial license ensures that your data is secure and private. This is not the case even with the paid version of ChatGPT.

I have absolutely no evidence or indication that anyone has had any issues with ChatGPT and private data. The app is amazing and OpenAI has (so far) proven to be amazing.

All GPT models (including ChatGPT) do not learn from your data in the way that some other AI models do; they are "pretrained," hence the name “Generative Pretrained Transformer.” However, OpenAI's terms clearly state that they can use the inputs and outputs you create to improve their products. This means that human beings can look at the data – your data.

The bottom line is simple: opt out of data sharing by using the form OpenAI provides, or just use ChatGPT for things you might post publicly. That said, the best way to use conversational AI to improve corporate productivity is to build your own chatbot using OpenAI's API. -s

#openai #ai #chatgpt #privacy #howto

[Big_Red_Dawg_Dallas @colopez2]

GPT-4 Developer Livestream https://t.co/vnX26uXZvq via @YouTube

[Norton @Norton]

If they:

- Watch out for you 24/7
- Keep shady characters at bay
- Are happy being your backup plan

They aren't your Valentine; they are your Cyber Safety protection 💛

[Big_Red_Dawg_Dallas @colopez2]

What a fun night celebrating our daughter's birthday with @bughunterbug singing tonight. The new normal is so cool now that you can have a concert over Zoom. I love technology and the smart uses thereof.

[Big_Red_Dawg_Dallas @colopez2]

@bsniz You as well, good sir. Let us catch up sometime and you can wax eloquent about your new adventures. Love to hear about them.

[Big_Red_Dawg_Dallas @colopez2]

Working with @jeffberinger is such a pleasure -- his smarts, energy, and knowledge of the digital space makes our work so much better and this promotion to President of Global Digital is so well deserved.
https://t.co/qTVX40sBHa