#54: ChatGPT Code Interpreter, the Misuse of AI in Content and Media, and Why Investors Are Betting on Generative AI

As generative AI continues to improve, iterate, and integrate,
there are news stories to discuss and advancements to break down.
That’s why we’re happy Paul Roetzer and Mike Kaput are back for
episode 54 of The Marketing AI Show. ChatGPT Code Interpreter
available for all OpenAI announced on July 6 that ChatGPT’s Code
Interpreter feature will be made available to all ChatGPT Plus
users. Previously, only select users received access after signing
up for a waitlist. Code Interpreter gives ChatGPT the ability to
run code, use files you upload to produce outputs, analyze data,
create charts, and perform sophisticated math. This gives ChatGPT
the ability to do all sorts of data analysis and code-dependent
tasks it couldn’t do well before. People are already using Code
Interpreter in interesting ways including customer segmentation,
data visualization, and data analysis.  The misuse of AI in
content and media A handful of stories in the past several weeks
are shedding light on the dangers and misuse of AI in content and
media. A report from misinformation tracking site NewsGuard shows
that content farms using AI to generate hundreds of low-quality
articles a day are raking in programmatic ad dollars—and hundreds
of brands are unwittingly supporting them. And otherwise legitimate
media sites are following their lead. Tech site Gizmodo recently
started publishing AI-generated content and the results were
problematic. One article on Star Wars movies was riddled with
inaccuracies and prompted an outcry from Gizmodo staff, who said
these types of stories were “actively hurting our reputations and
credibility” and showed “zero respect” for journalists. Last, but
certainly not least, news came out of a leaked email from German
tabloid Bild detailing how the publication plans to replace over a
hundred jobs with AI.  Investors are betting on generative AI.
Why and how? Research recently published by McKinsey estimates that
generative AI could add the equivalent of $2.6 trillion to $4.4
trillion of annual value to the global economy. The firm estimates
that about 75% of this value will accrue through four use cases:
customer operations, marketing and sales, software engineering, and
R&D.The impact will be felt across all industries and sectors,
but McKinsey specifically points out that banking, high-tech, and
life sciences could see the largest impact. The full research
report is well worth a read. But the larger point here is that the
possible market impact of generative AI is massive. And investors
are clearly responding to that, having just written some huge
checks to leading generative AI companies. One big example:
Inflection AI announced it raised $1.3 billion in a fresh
fundraising round led by Microsoft, LinkedIn founder Reid Hoffman,
Bill Gates, and NVIDIA.Inflection AI has been around just over a
year and, in that time, the company has built one of the world’s
most sophisticated large language models, which powers Pi, its
personal AI assistant product. The company is also the “largest AI
cluster in the world comprising 22,000 NVIDIA H100 Tensor Core
GPUs.” It’s also important to note that Inflection AI’s CEO and
co-founder Mustafa Suleyman also co-founded DeepMind, which was
acquired by Google and forms the backbone of their AI work. Another
example: At the same time, Runway, which builds generative AI tools
for creators, announced a $141 million extension to its Series C
funding round from companies like Google, NVIDIA, and Salesforce
Ventures.