‘Zuck May Have Killed OpenAI’ — Why Tech Influencers Are Excited About Llama 3

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  • Meta's release of Llama 3, a new open-source AI model, has gained significant praise in the tech community.
  • Influencers like Laura Wandel and Elon Musk have praised its capabilities, with many highlighting its cost-effectiveness and accessibility.
  • Llama 3's open-source nature and ability to run on personal computers without requiring large server infrastructure are the major positives, let alone offering high performance.
  • The tech world sees Llama 3 as a serious challenger to proprietary models like GPT-4, which is likely to put some pressure on OpenAI and ChatGPT.

The appetite for open-source artificial intelligence (AI) is heating up. Meta’s release of Llama 3 earlier this month has been met with an extremely positive response, as tech influencers praise the two new multimodal models for their impressive capabilities.

In one tweet seen more than a million times, Laura Wandel, a startup founder and software engineer with 32,000+ followers, was particularly enthusiastic:

“The more I use Llama 3, the more I think that Zuck may have just killed OpenAI and all other large proprietary AI vendors.

“The gap between the latest GPT4 and Llama 70b is virtually non-existent. Even if OpenAI releases GPT5 now, 400b Llama 3 is still training and will most likely be in the same ballpark — again closing the gap between open source and proprietary”.

We explore the various reactions and takeaways from the tech landscape following an outpouring of compliments, which will likely give Meta’s engineers a reason to celebrate this weekend.

How the Tech Industry Reacted to Llama 3

Even Elon Musk, CEO of Tesla and CEO of SpaceX, got in on the act, tweeting “not bad” in response to Yann LeCunn, chief AI scientist at Meta.

While Musk’s praise was quick and light, other influencers on X, formerly Twitter, have been much more vocal about their appreciation for the model.

For example, Michael Dell, CEO of Dell Technologies, posted he was “thrilled to see the launch of Meta Llama3! Open-source models are a game changer for private & secure #AI.

“Super impressive to see the rate and pace of improvement.”

However, tech influencers are talking about more than just the price — it’s that it’s free to run.

Rowan Cheung, Founder of The Rundown AI, posted to 495,000+ followers:

“A GPT-4 level chatbot, available to use completely free, running at over 800 tokens per second on Groq. I’m genuinely mindblown by Llama 3.”

Similarly, Delip Rao, CEO of MangoMind AI, posted a breakdown of the potential cost savings to his 46,000+ followers.

“Cost implication to builders: a million Llama 3 tokens can produce more user-facing content than a million GPT tokens. So, your effective cost per word is lower with llama3 than with gpt4, even if they are both offered at the same CPMT…”

The key takeaway is that Llama 3 is simultaneously seen as a less expensive and more accessible language model than GPT-4, which puts even more pressure on proprietary AI vendors like OpenAI and Anthropic to widen the gap.

If they fail to do so, then open-source models like Llama 3 could start to eat away at their market share.

Breaking Down X’s Initial Reactions to Llama 3

GlobalData has been following the initial reactions to Llama 3 on X, developing insights via its Social Media Analytics platform, which tracks 10,000 influential accounts on the platform.

Smitarani Tripathy, social media analyst at GlobalData, said:

“Influencers are mostly positive about Llama 3’s release, noting its seamless operation on personal computers and its potential to make advanced AI tools widely accessible.

“Influencers have praised its open-source nature and competitive performance, as they see the model as a game changer, positioning Meta to challenge industry leaders like OpenAI,” said in the announcement press release.

GlobalData’s report identifies some key factors driving the conversation.

One of these is Llama’s performance and accessibility. It has “ignited enthusiasm” for its solid performance and ability to function on personal computers, making it more accessible than models that require large server or cloud infrastructures.

Likewise, the analyst firm notes that “the debut of Llama 3 is perceived as a bold challenge to OpenAI,” which could eventually decrease the organization’s dominance in the sector.

Llama 3 as a Serious Challenger to OpenAI

Influencers on X have consistently referred to Llama 3 as a disruptive influence on the LLM market and an outright threat to OpenAI.

Rihard Jarc, an investor and writer at UncoverAlpha with 38,000+ followers, also provided a similar assessment.

“META’s Llama 3 release has put some pressure on OpenAI, as it has taken the current momentum.

“Sam Altman is often quoted as saying that momentum is key with a startup. Looking back at OpenAI’s release, they often followed big releases by their competitors to regain momentum,” Jarc’s post said.

Jarc’s comment on OpenAI reacting to big releases with releases appears supported by the fact — the organization expanded its enterprise-grade offerings for API offerings following the launch of Llama 3.

The high performance of Llama 3 has been a key driving force in many of the online reactions to the release.

For instance, chatbot arena lmsys.org crowned Llama-3 70B as the “new king” of open models, after it reached Top 5 on the arena leaderboard, beaten out only by top performers like GPT-4, Claude 3 Opus, and GPT-4 Turbo.

The Bottom Line

Why is Llama 3 capturing all this attention? The short answer is that it’s good at what it does, is relatively lightweight, and provides an open-source competitor to a market that’s been dominated by OpenAI and proprietary development.

Llama 3 has shown that open-source AI can’t be overlooked any longer. While releases like Llama 2, Falcon 180B, and Mistral 7B enriched the open-source ecosystem, Meta has taken this a step further with Llama 3 and presented a new challenge to OpenAI and blackbox development.

This can only be a good thing, as proprietary vendors will be under more pressure to deliver high-performance innovations and to provide greater transparency into how they train and finetune models.

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