Good morning and happy Friday. The Information reported that OpenAI execs are thinking about significantly increasing the subscription price of ChatGPT — apparently, prices ranging up to $2,000 per month were on the table (though it’s unlikely to be that high).

This is interesting in the context of the AI boom or bubble … at some point, developers need to generate a real return on spend, and what that effort might look like has been up for debate.

A shift to an expensive subscription might well price a lot of folks out.

— Ian Krietzberg, Editor-in-Chief, The Deep View

In today’s newsletter:

AI for Good: NASA is predicting water quality in the Chesapeake Bay

In 2022, NASA teamed up with the National Oceanic and Atmospheric Administration (NOAA) and the Maryland Department of the Environment (MDE) to develop machine learning software that would better allow scientists to predict water quality. 

They decided to begin with the Chesapeake Bay, which contributes about $9 million annually to the state’s economy. 

The science: Though the project is still in its early phases, the scientists have so far been able to demonstrate that their software can train machine learning algorithms that are able to identify “precursors to poor water quality in satellite images” taken over the Bay. 

Why it matters: Similar to medical applications, the name of the game is early awareness, which allows for early intervention. The sooner we know what’s going on (and where), the better we can prevent things from getting worse. 

🦾 Master AI, ChatGPT and 20+ AI Tools in just 3 hours

Don’t pay for sh*tty AI courses when you can learn it for FREE!

This incredible 3-hour Workshop on AI & ChatGPT (worth $399) makes you a master of 25+ AI tools, hacks & prompting techniques to save 16 hours/week and do more with your time.

Sign up now (free for first 100 people)🎁

This workshop will teach you how to:

You’ll wish you knew about this FREE AI masterclass sooner 😉

Register & save your seat now! (valid for next 24 hours only!)

The early days of Australia’s regulatory approach

Eager to appease the regulatory desires of its citizens, while also providing a clearer framework for businesses keen to deploy AI, the Australian government on Thursday published a list of voluntary AI safety standards. 

The voluntary standard is intended to establish consistent practices for companies, while also laying the groundwork for future legislation (which would come in the form of mandatory guardrails). It serves the additional purpose of helping businesses clearly navigate AI deployments within existing Australian law.

The framework: The 10 guardrails call for the implementation of internal accountability processes, risk identification and mitigation processes and data governance measures to assure data quality and provenance. 

The context: At the federal level, this puts Australia somewhat on par with the U.S., which has no federal AI policy aside from President Joe Biden’s (unenforceable) executive order on AI. The European Union, meanwhile, has its AI Act, which is already beginning to come into force. 

It’s not clear when these guardrails — or some form of them — will become mandatory. 

If you have an online business, you can't miss this event!

If you’re a business owner, developer, marketer, or designer, Prepathon is the key to unlocking (and dominating) the busiest sales season of the year.

The details: Running from September 10-12, you’ll get access to a series of expert webinars, networking activities and valuable panel discussions. And it’s completely FREE.

Here are the main, can’t-miss themes for the event:

You’ll get personalized advice, actionable input (and prizes).

Register Now to secure your spot so you can crush sales season!

If you want to get in front of an audience of 200,000+ developers, business leaders and tech enthusiasts, get in touch with us here.

C3.AI stock tanks despite earnings beat

Enterprise AI firm C3.AI reported earnings this week that were pretty much in line with analyst expectations. But the stock tanked anyway, starting off Thursday morning down roughly 20%. 

It recovered slightly throughout the day, closing Thursday evening down 8%.

The performance: The company reported a loss of five cents per share for the quarter (compared to analyst expectations of a loss of 13 cents) and revenue of $87.2 million, slightly ahead of expectations. 

Wedbush analyst Dan Ives called the results a “slight bump in the road,” though he remains positive on the stock due to its “strong pipeline across industries … as the AI Revolution gains more momentum.” He cut his price target to $30 from $40.

At the same time, C3.AI is not reporting in a vacuum; shares of AI giant Nvidia have been struggling since it reported (great, but not good enough) earnings … investor patience regarding AI seems to be wearing thinner and thinner every day. 

US, Europe sign first legally-binding international treaty on AI

The world’s first global, legally binding treaty on artificial intelligence has been signed by a number of international parties, including the U.S., the U.K., the European Union and Israel. 

The treaty — the Framework Convention on artificial intelligence and human rights, democracy and the rule of law — was adopted in May after years of negotiations by 57 different countries. It is designed to “promote AI progress and innovation, while managing the risks it may pose to human rights, democracy and the rule of law.” 

“We must ensure that the rise of AI upholds our standards, rather than undermining them,” Council of Europe Secretary General Marija Pejčinović Burić said in a statement. 

Let’s look at the framework: First, the scope. The agreement says that parties will apply the convention to public authorities and private actors, adding that it does NOT apply to national security applications of AI, or the research/development of AI tech that hasn’t been deployed. 

Part of the framework requires information gathering, maintenance and availability in addition to safeguards. It calls for states to carry out “risk and impact assessments” and establish appropriate mitigation measures as a result of those assessments. It also established the “possibility” for states to ban certain applications of AI as they see fit. 

The document is 12 pages long. You can read it here. 

Any good? Legal expert Francesca Fanucci told Reuters that the convention had been “watered down” into a very broad set of principles. 

Once countries sign it, they need to ratify it; after ratification, it’ll take three months for the convention to start entering into effect. This also enters into a fraught, complex regulatory environment, with U.S. states offering the early days of a varied patchwork of regulation (that has met with plenty of resistance), even as federal efforts remain sluggish to the point of nonexistence and global efforts remain more than uneven. 

Reading through the document, I’m with Fanucci — for an international treaty, it is remarkably broad, laying out very generic principles, avoiding specifics and establishing a framework for each individual country to basically mitigate risks however they see fit. 

It begs the question of why bother with an international treaty if the end result is ‘do whatever you want.’ 

Further, aside from a quick, generic mention of the ‘environment,’ it makes no mention of the environmental impact of widespread, horizontally-integrated (and entirely opaque) AI models, whose specifics remain shrouded from public view. 

I suppose something is better than nothing. But this ‘something’ doesn’t seem particularly wonderful. 

🤔 Your thought process:

Selected Image 1 (Left):

Selected Image 2 (Right):

💭 A poll before you go

Thanks for reading today’s edition of The Deep View!

We’ll see you in the next one.

Here’s your view on taking a flight in a self-flying aircraft:

45% of you said you wouldn’t get on board; 25% of you said you can’t wait to try it out.

Can’t wait:

Nope, Nope, Nope: