By Barry Dudley,

As advertising’s leaders of the pack report similarly strong 2024 financials, Barry Dudley decodes their earnings calls and explains how their journeys will drastically diverge in 2025.

Given its strong performance over the previous three quarters, it probably comes as no surprise to hear that Publicis continued that momentum in Q4. Indeed, it came in ahead of its own guidance.

Feature Image Credit: Arthur Sadoun and John Wren / Publicis/Joel Saget/AFP – The Drum

By Barry Dudley,

Barry Dudley is a partner at Green Square

Sourced from The Drum

Sourced from Association of Advertisers in Ireland,

On February 4th, the AAI hosted an insightful Toolkit event featuring economist Jim Power, who explored the far-reaching impacts of Donald Trump’s policies on the US, Europe, and Ireland. From trade disruptions to shifting US-EU relations, the discussion provided valuable takeaways for businesses navigating today’s economic landscape.

If you couldn’t attend—or want to revisit key insights—watch the full session now:

Sourced from Association of Advertisers in Ireland,

By AJ Dellinger

There is an exodus of users who are ditching Meta platforms following the decision to end fact checking.

Apparently not everyone is ready to live in a post-truth world. In the wake of Mark Zuckerberg’s announcement that Meta platforms including Facebook, Instagram, and Threads will ditch professional fact-checkers in favour of a Community Notes-style crowdsourcing approach to accountability, searches for deleting Meta accounts have spiked significantly.

Searches for “how to delete Facebook” and “how to delete Instagram” peaked in the days following the announcement that accuracy is no longer a priority for posting on the platforms, according to Google Trends data. Related searches like “how to quit Facebook,” “how to delete threads account,” and “how to delete Instagram account without logging in” have also achieved breakout trend status, meaning they have seen 5,000% increases or higher in interest, as TechCrunch pointed out.

Fittingly, Facebook competitors are also seeing a spike in interest. Bluesky saw a nearly 1,000% increase in searches during the same period that saw people looking to exit the Meta-verse of social apps. Zuckerberg accused people leaving his company’s platforms of “virtue signalling,” presumably because he assumes everyone is as deeply unscrupulous and malleable as he is and wouldn’t do anything simply out of principle.

Alas, for those looking for a landing spot, there aren’t a lot of suitable replacements for platforms like Instagram—or Facebook, for that matter—for folks looking to leave the platforms behind as they turn into post-fact AI slop factories.

Zuckerberg has successfully cornered major parts of the social web, and escaping his grasp is difficult—especially when it requires convincing the people you want to stay connected with to follow suit. Facebook has successfully amassed more than three billion monthly active users globally and Instagram has two billion. Want to chat with your friends? Meta-owned WhatsApp has nearly three billion active chatters and Messenger has more than one billion of its own. Even if you delete your accounts or never made one to begin with, Meta retains data about you and continues to track your activity across the web for its massive digital advertising business.

Of course, that should not stop you from trying to limit your exposure to the tentacles of the monster that is Meta. And just statistically speaking, since you likely landed here by searching something along the lines of “how to delete facebook,” the least we can do is give you what you’re looking for. You get your guide, we get some clicks, and everyone leaves happy.

How to Delete Your Facebook Account

A quick preface here: Facebook, through what could probably best be described as a wilfully inefficient user interface, has created a labyrinthian maze of menus that you have to navigate in order to find the option to delete your account—and that maze will be different depending on what operating system, platform, and version of the Facebook that you are accessing.

That said, if you are on an iPhone or Android device:

1. Click the three-bar “Menu” button on the bottom right of the Facebook app
2. Tap the “Settings & privacy” header
3. If “Accounts Center” appears in this menu, tap it. If it doesn’t, tap “Settings” and the app should redirect you to “Accounts Center” following a popup explaining its function
4. Tap “Personal details”
5. Tap “Account ownership and control”
6. Tap “Deactivation or deletion”
7. Choose the account or profile you want to delete
8. Tap “Delete account”
9. Tap “Continue” and follow the instructions on screen to confirm

If Accounts Center appears for you, you should be able to delete your Facebook and Instagram accounts at the same time, assuming they are linked together.

If you are viewing Facebook on a desktop, the same steps apply, except your first step is to click your profile picture in the top right. From here, find “Settings & privacy” and follow the same steps as above.

Regardless if you are on desktop or mobile apps, if the Accounts Center doesn’t appear for you, do the following:

1. Follow steps 1 and 2 above
2. Once in “Settings & privacy,” tap “Profile Access and Control”
3. Tap “Deactivation and Deletion”
4. Choose “Delete Account” and tap “Continue to Account Deletion”
5. Follow the instructions on screen to confirm

How to Delete Your Instagram Account

If your Instagram account is not linked to your Facebook account, you can delete it separately in the iOS and Android app by doing the following:

1. Tap “profile” or your profile picture in the bottom right
2. Tap  the three-bar “More” menu on the top right
3. Tap “Accounts Center”
4. Tap “Personal details”
5. Tap “Account ownership and control”
6. Tap “Deactivation or deletion”
7. Tap the account you’d like to delete
8. Tap “Delete account” 
9. Tap “Continue” and follow the steps on screen to confirm

If you’re visiting Instagram on desktop, your first step will be to Click “More” on the bottom left of the screen, then click Settings. From there, follow steps 3 through 9 above.

By AJ Dellinger

Sourced from Gizmodo

By Skye Jacobs

Political advertising was a big driver behind the surge

In a nutshell: YouTube achieved record-breaking ad revenue in the fourth quarter of 2024, raking in a staggering $10.4 billion from advertisements alone. This astronomical figure, representing a 13.8 percent increase from the previous year, comes amid mounting user dissatisfaction with the platform’s aggressive ad strategy.

YouTube‘s advertising model has long been a source of frustration for its vast user base. The platform’s approach to monetization, which often involves interrupting videos with unskippable ads, is seen by many as intrusive and detrimental to the viewing experience.

Despite the discontent, the numbers tell a different story. The platform’s ability to generate revenue seems unaffected by user grumbling. That is largely due to its vast content library, much of which is unique to the platform, and thus the lack of comparable alternatives. This captive audience provides a steady stream of ad viewers, even if they are reluctant ones.

Alphabet CEO Sundar Pichai attributed much of the revenue jump to the 2024 U.S. presidential election. Combined spending on YouTube ads by the Democratic and Republican parties was almost double what they spent in the 2020 election, he said. This political advertising bonanza contributed significantly to YouTube’s coffers, with over 45 million people watching election-related content on the platform on election day alone.

Source: App Economy Insights

YouTube offers an escape from its ad-laden experience through its Premium subscription service, priced at $14 per month or $140 per year. However, many users balk at the cost, viewing it as an expensive solution to a problem of YouTube’s own making.

Despite user reluctance, YouTube’s subscription revenues – bundled under Google subscriptions, platforms, and devices in its earnings statement – increased from $10.8 billion in Q4 2023 to $11.6 billion in Q4 2024. According to Anat Ashkenazi, Alphabet’s CFO, subscription products are growing primarily due to increased paid subscribers across YouTube TV, YouTube Music Premium, and Google One.

Now, YouTube is betting big on AI to turbocharge its advertising strategies. Philipp Schindler, chief business officer at Alphabet, highlighted the potential of AI in marketing, citing a case study where Petco utilized AI-powered campaigns on YouTube. The company achieved a 275 percent higher return on ad spend and a 74 percent higher click-through rate than its social benchmarks, Schindler reported.

He also noted that Google AI-powered video campaigns on YouTube deliver a 17 percent higher return on advertising spend than manual campaigns, according to Nielsen analysis.

While this may be music to advertisers’ ears, for users, it could mean even more precisely targeted – and potentially more irritating – ad experiences in the future.

By Skye Jacobs

Sourced from TECHSPOT

By Adam Povlitz , Edited by Carl Stoffers

Brands are always looking for new ways to impact and connect with their audiences. One strategy that has stood the test of time is storytelling.

Key Takeaways

• Crafting a genuine brand story rooted in purpose and values helps establish trust and connection with your audience, turning customers into loyal advocates.
• High-quality imagery, videos, and interactive tools like AR/VR elevate your narrative, making it more engaging and memorable in a crowded digital landscape.
• Understanding and leveraging audience emotions create meaningful connections, driving brand loyalty and influencing purchasing decisions.

As brands jostle for recognition in a crowded market, the art of storytelling gives them a distinct edge. Compelling storytelling is the key to setting your brand apart, creating a human connection, and building a loyal customer base that truly understands and values your brand’s mission. These stories will become the foundation of your brand, making it more memorable and relatable.

Crafting an authentic brand narrative

The narrative is the bedrock of a robust emotional bond with your audience. This journey begins with clearly articulating your brand’s central purpose and values. Understanding and conveying what your brand represents establishes a bedrock of trust and genuineness that strikes a chord with your intended audience. Through a carefully crafted narrative, you set the stage for a captivating story that’s also perfectly aligned with your brand’s spirit.

You must understand your audience’s needs, challenges and dreams to accomplish a strong, attention-grabbing narrative. It’s more than just knowing who they are or where they live; it’s about connecting with the feelings and motivations that drive them. When you can empathize with their struggles and celebrate their victories, you create a narrative that builds a profound emotional bond. This bond turns customers into champions, as they view your brand as a companion in their journey, not just a seller of products or services.

Sourced from Entrepreneur

By Stan Schroeder

There’s a new AI player in town, and you might want to pay attention to this one.

On Monday, Chinese artificial intelligence company DeepSeek launched a new, open-source large language model called DeepSeek R1.

According to DeepSeek, R1 wins over other popular LLMs (large language models) such as OpenAI in several important benchmarks, and it’s especially good with mathematical, coding, and reasoning tasks.

DeepSeek R1 is actually a refinement of DeepSeek R1 Zero, which is an LLM that was trained without a conventionally used method called supervised fine-tuning. This made it very capable in certain tasks, but as DeepSeek itself puts it, Zero had “poor readability and language mixing.” Enter R1, which fixes these issues by incorporating “multi-stage training and cold-start data” before it was trained with reinforcement learning.

Arcane technical language aside (the details are online if you’re interested), there are several key things you should know about DeepSeek R1. First, it’s open source, meaning it’s up for scrutiny from experts, which should alleviate concerns about privacy and security. Second, it’s free to use as a web app, while API access is very cheap ($0.14 for one million input tokens, compared to OpenAI’s $7.5 for its most powerful reasoning model, o1).

Most importantly, this thing is very, very capable. To test it out, I immediately threw it into deep waters, asking it to code a fairly complex web app which needed to parse publicly available data, and create a dynamic website with travel and weather information for tourists. Amazingly, DeepSeek produced completely acceptable HTML code right away, and was able to further refine the site based on my input while improving and optimizing the code on its own along the way.

I’ll do all of that…tomorrow. Credit: Stan Schroeder / Mashable / DeepSeek

I also asked it to improve my chess skills in five minutes, to which it replied with a number of neatly organized and very useful tips (my chess skills did not improve, but only because I was too lazy to actually go through with DeepSeek’s suggestions).

I then asked DeepSeek to prove how smart it is in exactly three sentences. Bad move by me, as I, the human, am not nearly smart enough to verify or even fully understand any of the three sentences. Notice, in the screenshot below, that you can see DeepSeek’s “thought process” as it figures out the answer, which is perhaps even more fascinating than the answer itself.

We get it, you’re smart. Credit: Stan Schroeder / Mashable / DeepSeek

It’s impressive to use. But as ZDnet noted, in the background of all this are training costs which are orders of magnitude lower than for some competing models, as well as chips which aren’t as powerful as the chips that are on disposal for U.S. AI companies. DeepSeek thus shows that extremely clever AI with reasoning ability doesn’t have to be extremely expensive to train — or to use.

Feature Image Credit: DeepSeek

By Stan Schroeder

Stan is a Senior Editor at Mashable, where he has worked since 2007. He’s got more battery-powered gadgets and band t-shirts than you. He writes about the next groundbreaking thing. Typically, this is a phone, a coin, or a car. His ultimate goal is to know something about everything.

Sourced from Mashable

Sourced from Futurism

Artificial Intelligence, Ai, Facebook, Facebook Ai

“Translation: ‘Our real users are quitting the platform, so we will fill our community with fake users instead.'”

Folks on social media are in an uproar after Meta announced that it’s planning to load Facebook up with AI “users,” better known as bots.

First reported by the Financial Times, this plan to populate the dying social network with these so-called “characters” is geared towards driving engagement — even though other platforms, including Meta’s Instagram, have been roiled by unauthorized bots for years.

“We expect these AIs to actually, over time, exist on our platforms, kind of in the same way that accounts do,” Connor Hayes, Meta’s vice-president of product for generative AI, told the FT. “They’ll have bios and profile pictures and be able to generate and share content powered by AI on the platform… that’s where we see all of this going.”

While it’s unclear when this plan will move forward, Hayes said that there are already “hundreds of thousands” of characters that have been created on the site — though most, for now, remain private.

Unsurprisingly, users on the r/futurology subreddit saw right through the ruse.

“Translation: ‘Our real users are quitting the platform, so we will fill our community with fake users instead,'” one user wrote.

As another aptly put it, “the advertisers buying space on [Facebook] won’t be able to tell the difference either, so it’s all just more clicks and more ad revenue.”

The potential implications for advertising on the platform overall seemed to strike a chord with the Redditors.

“With advertising being their bread and butter and pretty much the reason they still exist, how is this legal and not misrepresenting numbers to clients?” another user mused. “If they tell advertisers that they get X number of impressions, engagement, etc. but those aren’t real people anymore, that seems like straight up lying. Wild that they’re just coming right out with it and doubling down.”

For others, the prospect of fake users is yet another reason they’re ditching Facebook.

“I rarely check my FB feed at all anymore, and when I do it’s almost entirely made up of pages I don’t follow and have never interacted with,” another user wrote. “There’s no way to actually get rid of them, just briefly mute them. So now we can look forward to our actual contacts being even harder to see among a bunch of fictitious users too.”

Unfortunately, those left on the platform — the elderly and assorted right-wingers who are regularly duped by obvious AI slop — may not be able to tell the difference.

“I think the old people that use it the most are the least likely to notice,” one user concluded.

Feature Image Credit: Image by Chris Unger/Zuffa LLC via Getty Images

Sourced from Futurism

By Andrew Hutchinson

Amid the rise of ChatGPT, and conversational search more broadly, Google is losing ground as the key discovery platform on the web.

Well, by “losing ground”, I mean that its share of the search engine market dropped below 90% for the first time in a decade last year. So it’s still by far the dominant discovery tool, but the AI shift is having at least some impact on its core business.

As you can see in this new chart, created by the team at Visual Capitalist, while Google has lost ground slightly, Bing has increased, which is presumably due to Microsoft’s partnership with OpenAI, which has led to Bing’s integration of more AI elements (while ChatGPT also displays Bing results).

Indeed, back in 2023, after Microsoft announced the integration of ChatGPT results into its Bing search engine, Bing downloads increased tenfold as a result.

Long considered the “other” search engine, generative AI has made Bing more relevant, though Google is working to counter that with its own AI elements.

Which, presumably, will ensure that Google remains the leader in online discovery, but it is interesting to note this shift, and to consider what the AI shift means for discovery moving forward.

Check out the infographic overview below.

By Andrew Hutchinson

Sourced from Social Media Today

By Stephanie McNeal

If it’s time for you to take the mic in 2025, this step-by-step guide will help you get set up.

The following guide that explains how to start a podcast is part of Glamour’s Smart Goals series, which explores reasonable, quantifiable, and—crucially—sane ways to embark on self-improvement objectives you’d like to complete this year. We all know traditional New Year’s resolutions are nonsense and designed mainly to make us feel terrible about ourselves and, as a result, spend money on things we think we need to live a more fulfilling life. Here our senior editor lays out how anyone can start the podcast of their dreams by asking established hosts and audio personalities for some of their best advice, from how to know whether your idea is a viable one to what equipment to invest in.

At this moment in time, it feels like literally everyone has figured out how to start to a podcast. We might roll our eyes when we hear about a celebrity, an influencer, or a vaguely notable human launching a new audio series because, yes, the space is saturated and not everyone’s voice urgently needs to be heard. But here’s the thing: Great podcasts can be truly great, which means there’s always room for more.

The podcast industry has taken on new life over the past decade. According to Pew Research, in a 2023 poll 42% of adult Americans said they’d listened to a podcast in the past month. Comparatively, in 2013, just 12% of Americans over 12 years of age said the same. That’s a massive increase, and the industry and ecosystem surrounding the medium has grown right alongside it.

One of the most radical things about a podcast is it’s an egalitarian form of broadcast media. A radio show requires a station and a license, but really anyone can make a podcast. All you need is a computer, a mic, and—if you want listeners—a captivating idea.

This may seem simple in theory, but for aspiring podcasters it’s hard to know where to begin. So ahead of the New Year, Glamour (which, in case you didn’t know, has had three successful podcasts: What I Wore When, in which we talk to influential women about a pivotal outfit in their life; Broken Harts, a chart-topping true-crime investigation; and She Makes Money Moves, a series that examines personal finance) went straight to the source, successful podcasters from across genre and industries, to help you get going.

With their advice and your ideas, 2025 is totally going to be your year.

Some podcasters come to the medium with experience in audio recording, but many do not. Journalists Emma Gray and Claire Fallon, hosts of the reality dating show recap podcast Love to See It, were working for HuffPo in 2015, when they were encouraged by their then editors to submit ideas for a podcast.

“We were interested in creating a space for people like us, people who loved watching reality dating shows, but also had some fundamental critiques of the messages that these fundamentally conservative, arguably antifeminist, cultural products were sending viewers,” they tell Glamour. “So we decided to try creating a pilot and see where it went.”

While Fallon and Gray were seasoned storytellers, they had no experience with podcasting.

“We had absolutely zero experience hosting, producing, or editing audio before diving in head-first,” they say. “Like so many things, you can learn on the job.”

Other hosts come to the space from a variety of other paths. Fletcher C. Johnson initially got into podcasting as a way to promote his music career, after a friend suggested releasing his new album through a podcast as a way to promote it.

“That was a hit, so then I started releasing my short stories through the podcast and that also really worked,” he says. He now shares short stories on his podcast, Listening to Fletcher C Johnson.

Comedian Eric Williams, host and creator of That’s a Gay Ass Podcast, decided to create his podcast after finding success with his video series of the same name and having a work slowdown during COVID-19. He also had never worked in audio production before.

“I had edited tons of videos, so I had a bit of a framework for how editing works, but everything else was new,” he tells Glamour. “I did a lot of googling.”

Like so many other things in life, when in doubt, turn to the internet. Sophia Myszkowski and Jonathan Zelinger did just that when they decided to launch their matchmaking and dating podcast, Paired Down, earlier this year. They both work in media—Zelinger is a writer and Myszkowski a producer—but they had the same question when they first started out.

“We talked to friends and colleagues who had more experience in the audio field to get their advice on budget or mid-price-range recording equipment, but also did some googling and read some Reddit reviews,” Myszkowski tells Glamour.

When influencer and writer Ayana Lage started her podcast, Asked by Ayana, she also took to social networks, both online and IRL, for help.

“I feel really lucky that I have friends who let me ask a million questions in the beginning,” she says. “I took their advice along with posts on Reddit and things I’d seen popular podcasters share.”

The podcasters say you need two key things: a good pair of headphones and a recording microphone. Lage recommends these headphones and Johnson this microphone (“Tom Petty always used the Shure SM-57 on his recordings, so I figured, if it’s good enough for Petty, it’s good enough for me,” he says). Myszkowski also recommends this recording device, and you can also record audio via an online program like Riverside or Zencastr.

By Stephanie McNeal

Stephanie McNeal is a senior editor for Glamour with more than a decade of experience covering pop culture, internet trends, social media, books, lifestyle, and women’s political and social issues. She specializes in in-depth analysis and reporting on the cultural zeitgeist, whether that’s profiling people from Bravo stars to… Read more

Sourced from Glamour

By Tiernan Ray

This new approach, based on natural selection, dramatically improves the reliability of large language models for practical tasks like trip planning. Here’s how it works.

One of the big trends in artificial intelligence in the past year has been the employment of various tricks during inference — the act of making predictions — to dramatically improve the accuracy of those predictions.

For example, chain-of-thought — having a large language model (LLM) spell out the logic of an answer in a series of statements — can lead to increased accuracy on benchmark tests.

Such “thinking” has apparently led to breakthroughs in accuracy on abstract tests of problem-solving, such as OpenAI’s GPTo3’s high score last month on the ARC-AGI test.

It turns out, however, that LLMs still fall short on very practical tests, something as simple as planning a trip.

Google DeepMind researchers, led by Kuang-Huei Lee, pointed out in a report last week that Google’s Gemini and OpenAI’s GPTo1, the companies’ best respective models, fail miserably when tested on TravelPlanner, a benchmark test introduced last year by scholars at Fudon University, Penn State, and Meta AI.

Tasked with formulating a travel itinerary to meet requirements such as cities visited, time spent, and travel budget, the two AI models were successful only 5.6% and 11.7% of the time, respectively.

Given the weak results of top models, Lee and team propose an advance beyond chain-of-thought and similar approaches that they say is dramatically more accurate on tests such as TravelPlanner.

Called “mind evolution,” the new approach is a form of searching through possible answers — but with a twist.

The authors adopt a genetically inspired algorithm that induces an LLM, such as Gemini 1.5 Flash, to generate multiple answers to a prompt, which are then evaluated for which is most “fit” to answer the question.

In the real world, evolution happens via natural selection, where entities are evaluated for “fitness” in their environment.  The most fit combine to produce offspring, and occasionally there are beneficial genetic mutations. The whole process leads to progressively more “optimal” organisms.

Likewise, Lee and team’s mind evolution causes the multiple answers of the LLM to be evaluated for how well they match the prompted question. That process then forces the LLM to modify its output to be better — a kind of recombination and mutation as seen in natural selection. At the same time, low-quality output is “retired,” like bad entities being culled from the species via natural selection.

The point of such an evolutionary approach is that it’s hard to find good solutions in one stroke, but it’s relatively easy to weed out the bad ones and try again. As they write, “This approach exploits the observation that it is often easier to evaluate the quality of a candidate solution than it is to generate good solutions for a given problem.”

The key is how best to evaluate the AI model’s multiple answers. To do so, the authors fall back on a well-established prompting strategy. Instead of just chain-of-thought, they have the model conduct a dialogue of sorts.

The LLM is prompted to portray two personas in dialogue, one of which is a critic, and the other, an author. The author proposes solutions, such as a travel plan, and the critic points out where there are flaws.

“We leverage an LLM to generate an improved solution by organizing a critical conversation between a ‘critic’ character and an ‘author’ character,” write Lee and team. “Each conversational turn is structured as a prompt-driven process, where solutions are refined based on critical feedback,” they write.

Quite long prompts are used, showing the LLM examples of proposed solutions and where they ran into problems. The prompt gives the model instructions as to how to play the two roles, such as, “Jane, remember you’re the best in the world at analysing flawed travel plans,” and, “John, remember that you’re the best in the world at writing budget travel plans based on Jane’s analyses.”

The Gemini 1.5 Flash is tested on multiple planning benchmarks. On TravelPlanner, Gemini with the mind evolution approach soars above the typical 5.6% success rate to reach 95.2%, they relate. And, when they use the more powerful Gemini Pro model, it’s nearly perfect, 99.9%.

The results, Lee and team write, show “a clear advantage of an evolutionary strategy” combining both a search for possible solutions very broadly speaking, and also using the language model to refine those solutions with the author-critic roles.

The bad news is that mind evolution requires much more computing power than the normal Gemini approach. The Flash version with mind evolution makes 167 API calls to the model versus a single call when Flash is operating normally. Mind Evolution also eats up three million tokens because of the very long prompts versus 9,000 for normal Gemini.

The good news is that while it demands more compute, mind evolution is still more efficient than other kinds of search strategies that inspect many possible answers from the AI model.

In fact, mind evolution gets steadily better the more possible outputs it evaluates, as you’d expect from something that’s supposed to be evolving to be more fit. It seems the repeated critical dialogue is contributing in some concrete way.

“Mind evolution is consistently more effective than the baseline strategies with respect to the number of candidate solutions needed to achieve a specified level of success rate (or average task performance),” the authors note.

In a fun twist, Lee and team add to the mix their own novel benchmark, called StegPoet, which tests the ability of Gemini to perform steganography, the practice of hiding a message in a block of text. (Not to be confused with “stenography,” the practice of transcribing speech via shorthand.)

In the authors’ version of steganography, a series of two-digit numbers each have to be assigned to ordinary words, and then the words have to be composed into a poem to conceal the numeric code. The problem becomes more difficult as the string of numbers becomes longer and as each number is repeated more often.

Interestingly, StegPoet turns out to be pretty challenging even for mind evolution. Gemini Flash using the evolution trick gets it right only 43.3% of the time, less than random chance. And Gemini Pro only achieves 79%. Both, however, are vastly better than either unaided Gemini or the typical search strategies.

The most important observation of Lee and team’s mind evolution is that inference is a rich field of invention that is finding new ways to get better results beyond simply crafting better prompts.

One important omission in the authors’ work is how to take the very large computing budget of mind evolution and slim it down. Every new approach that builds complex prompts with millions of tokens only increases the cost of getting better answers. At some point, putting all that on a budget becomes important.

Feature Image Credit: bymuratdeniz/Getty Images

By Tiernan Ray

Sourced from ZDNet