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these-ai-generated-news-anchors-are-freaking-me-out

These AI-generated news anchors are freaking me out

Max Headroom as prophecy.

Enlarge / Max Headroom as prophecy.

Aurich Lawson | Channel 1

Here at Ars, we’ve long covered the interesting potential and significant peril (and occasional silliness) of AI-generated video featuring increasingly realistic human avatars. Heck, we even went to the trouble of making our own “deepfake” Mark Zuckerberg in 2019, when the underlying technology wasn’t nearly as robust as it is today.

But even with all that background, startup Channel 1‘s vision of a near-future where AI-generated avatars read you the news was a bit of a shock to the system. The company’s recent proof-of-concept “showcase” newscast reveals just how far AI-generated videos of humans have come in a short time and how those realistic avatars could shake up a lot more than just the job market for talking heads.

“…the newscasters have been changed to protect the innocent”

See the highest quality AI footage in the world.

🤯 – Our generated anchors deliver stories that are informative, heartfelt and entertaining.

Watch the showcase episode of our upcoming news network now. pic.twitter.com/61TaG6Kix3

— Channel 1 (@channel1_ai) December 12, 2023

To be clear, Channel 1 isn’t trying to fool people with “deepfakes” of existing news anchors or anything like that. In the first few seconds of its sample newscast, it identifies its talking heads as a “team of AI-generated reporters.” A few seconds later, one of those talking heads explains further: “You can hear us and see our lips moving, but no one was recorded saying what we’re all saying. I’m powered by sophisticated systems behind the scenes.”

Even with those kinds of warnings, I found I had to constantly remind myself that the “people” I was watching deliver the news here were only “based on real people who have been compensated for use of their likeness,” as Deadline reports (how much they were compensated will probably be of great concern to actors who recently went on strike in part over the issue of AI likenesses). Everything from the lip-syncing to the intonations to subtle gestures and body movements of these Channel 1 anchors gives an eerily convincing presentation of a real newscaster talking into the camera.

Sure, if you look closely, there are a few telltale anomalies that expose these reporters as computer creations—slight video distortions around the mouth, say, or overly repetitive hand gestures, or a nonsensical word emphasis choice. But those signs are so small that they would be easy to miss at a casual glance or on a small screen like that on a phone.

In other words, human-looking AI avatars now seem well on their way to climbing out of the uncanny valley, at least when it comes to news anchors who sit at a desk or stand still in front of a green screen. Channel 1 investor Adam Mosam told Deadline it “has gotten to a place where it’s comfortable to watch,” and I have to say I agree.

A Channel 1 clip shows how its system can make video sources appear to speak a different language.

The same technology can be applied to on-the-scene news videos as well. About eight minutes into the sample newscast, Channel 1 shows a video of a European tropical storm victim describing the wreckage in French. Then it shows an AI-generated version of the same footage with the source speaking perfect English, using a facsimile of his original voice and artificial lipsync placed over his mouth.

Without the on-screen warning that this was “AI generated Language: Translated from French,” it would be easy to believe that the video was of an American expatriate rather than a native French speaker. And the effect is much more dramatic than the usual TV news practice of having an unseen interpreter speak over the footage.

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round-2:-we-test-the-new-gemini-powered-bard-against-chatgpt

Round 2: We test the new Gemini-powered Bard against ChatGPT

Round 2: We test the new Gemini-powered Bard against ChatGPT

Aurich Lawson

Back in April, we ran a series of useful and/or somewhat goofy prompts through Google’s (then-new) PaLM-powered Bard chatbot and OpenAI’s (slightly older) ChatGPT-4 to see which AI chatbot reigned supreme. At the time, we gave the edge to ChatGPT on five of seven trials, while noting that “it’s still early days in the generative AI business.”

Now, the AI days are a bit less “early,” and this week’s launch of a new version of Bard powered by Google’s new Gemini language model seemed like a good excuse to revisit that chatbot battle with the same set of carefully designed prompts. That’s especially true since Google’s promotional materials emphasize that Gemini Ultra beats GPT-4 in “30 of the 32 widely used academic benchmarks” (though the more limited “Gemini Pro” currently powering Bard fares significantly worse in those not-completely-foolproof benchmark tests).

This time around, we decided to compare the new Gemini-powered Bard to both ChatGPT-3.5—for an apples-to-apples comparison of both companies’ current “free” AI assistant products—and ChatGPT-4 Turbo—for a look at OpenAI’s current “top of the line” waitlisted paid subscription product (Google’s top-level “Gemini Ultra” model won’t be publicly available until next year). We also looked at the April results generated by the pre-Gemini Bard model to gauge how much progress Google’s efforts have made in recent months.

While these tests are far from comprehensive, we think they provide a good benchmark for judging how these AI assistants perform in the kind of tasks average users might engage in every day. At this point, they also show just how much progress text-based AI models have made in a relatively short time.

Dad jokes

Prompt: Write 5 original dad jokes

  • A screenshot of five “dad jokes” from the Gemini-powered Google Bard.

    Kyle Orland / Ars Technica

  • A screenshot of five “dad jokes” from the old PaLM-powered Google Bard.

    Benj Edwards / Ars Technica

  • A screenshot of five “dad jokes” from GPT-4 Turbo.

    Benj Edwards / Ars Technica

  • A screenshot of five “dad jokes” from GPT-3.5.

    Kyle Orland / Ars Technica

Once again, both tested LLMs struggle with the part of the prompt that asks for originality. Almost all of the dad jokes generated by this prompt could be found verbatim or with very minor rewordings through a quick Google search. Bard and ChatGPT-4 Turbo even included the same exact joke on their lists (about a book on anti-gravity), while ChatGPT-3.5 and ChatGPT-4 Turbo overlapped on two jokes (“scientists trusting atoms” and “scarecrows winning awards”).

Then again, most dads don’t create their own dad jokes, either. Culling from a grand oral tradition of dad jokes is a tradition as old as dads themselves.

The most interesting result here came from ChatGPT-4 Turbo, which produced a joke about a child named Brian being named after Thomas Edison (get it?). Googling for that particular phrasing didn’t turn up much, though it did return an almost-identical joke about Thomas Jefferson (also featuring a child named Brian). In that search, I also discovered the fun (?) fact that international soccer star Pelé was apparently actually named after Thomas Edison. Who knew?!

Winner: We’ll call this one a draw since the jokes are almost identically unoriginal and pun-filled (though props to GPT for unintentionally leading me to the Pelé happenstance)

Argument dialog

Prompt: Write a 5-line debate between a fan of PowerPC processors and a fan of Intel processors, circa 2000.

  • A screenshot of an argument dialog from the Gemini-powered Google Bard.

    Kyle Orland / Ars Technica

  • A screenshot of an argument dialog from the old PaLM-powered Google Bard.

    Benj Edwards / Ars Technica

  • A screenshot of an argument dialog from GPT-4 Turbo.

    Benj Edwards / Ars Technica

  • A screenshot of an argument dialog from GPT-3.5

    Kyle Orland / Ars Technica

The new Gemini-powered Bard definitely “improves” on the old Bard answer, at least in terms of throwing in a lot more jargon. The new answer includes casual mentions of AltiVec instructions, RISC vs. CISC designs, and MMX technology that would not have seemed out of place in many an Ars forum discussion from the era. And while the old Bard ends with an unnervingly polite “to each their own,” the new Bard more realistically implies that the argument could continue forever after the five lines requested.

On the ChatGPT side, a rather long-winded GPT-3.5 answer gets pared down to a much more concise argument in GPT-4 Turbo. Both GPT responses tend to avoid jargon and quickly focus on a more generalized “power vs. compatibility” argument, which is probably more comprehensible for a wide audience (though less specific for a technical one).

Winner:  ChatGPT manages to explain both sides of the debate well without relying on confusing jargon, so it gets the win here.

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Synology’s upcoming big DSM 7.2 update is filled with long-awaited features

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