May 16, 2025

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Meta AI Delay, AI Server Sales, and Clean AI Adoption

The tech industry is experiencing significant developments in the field of artificial intelligence (AI). Meta has delayed the release of its AI model Behemoth due to performance concerns, sparking concerns about the company's AI investments. Meanwhile, sales teams are struggling to use generative AI effectively, with a study finding that 47% of sales professionals spend between 31 and 60 minutes daily on generic AI tools. On the other hand, companies like Foxconn, Tencent, and Korean medical imaging AI companies are making significant strides in AI development and investment. India's startups are also using AI to tackle urban and environmental crises, while the film industry is turning to clean AI for film and TV production. Additionally, a teenager has developed software to detect AI-generated text, and researchers are working on accelerating AI training on supercomputers like Aurora. However, the rise of AI may also pose an existential threat to some of the biggest tech companies, including Microsoft, Meta, and Alphabet.

Key Takeaways

  • Meta has delayed the release of its AI model Behemoth due to performance concerns.
  • Sales teams are struggling to use generative AI effectively, with 47% of sales professionals spending between 31 and 60 minutes daily on generic AI tools.
  • Foxconn predicts that AI server sales will reach $33 billion in 2025.
  • India's startups are using AI to tackle urban and environmental crises.
  • Tencent's investments in AI are paying off, with the company posting its best quarter on record.
  • Korean medical imaging AI companies have secured supply contracts in Germany.
  • The film industry is turning to clean AI for film and TV production.
  • A teenager has developed software to detect AI-generated text.
  • Researchers are working on accelerating AI training on supercomputers like Aurora.
  • The rise of AI may pose an existential threat to some of the biggest tech companies, including Microsoft, Meta, and Alphabet.

Meta delays AI model Behemoth

Meta is delaying the release of its AI model Behemoth due to struggles in improving its capabilities. The model was initially scheduled for release in April, but has been postponed to fall or later. Meta engineers are questioning whether the improvements over earlier versions are significant enough to justify public release. The company had previously released two smaller Llama models in April and plans to increase spending on AI data centers this year.

Meta hits AI roadblock with Behemoth

Meta's release of its AI model Behemoth has been delayed due to performance concerns. Engineers are struggling to improve the model's capabilities compared to earlier versions, prompting internal debate about its effectiveness. The delay has raised concerns about Meta's AI investments and its ability to demonstrate meaningful progress. The company has spent billions on AI development and plans to increase spending on AI data centers this year.

Meta shares slip on AI model delay

Meta's shares have declined due to a report that the company is delaying the release of its flagship AI model, Behemoth. The delay is attributed to engineers' struggles in improving the model's capabilities. The company had initially planned to release Behemoth in April, but has now postponed it to fall or later. Meta's AI investments have raised concerns about the company's ability to demonstrate meaningful progress.

Meta delays Behemoth AI model

Meta has delayed the release of its AI model Behemoth due to performance concerns. The model was initially scheduled for release in April, but has been postponed to fall or later. Meta engineers are struggling to improve the model's capabilities compared to earlier versions. The company has previously released two smaller Llama models in April and plans to increase spending on AI data centers this year.

Meta delays Behemoth AI rollout

Meta has delayed the rollout of its AI model Behemoth due to performance concerns. The company had initially planned to release Behemoth in April, but has now postponed it to fall or later. Meta engineers are struggling to improve the model's capabilities compared to earlier versions. The delay has raised concerns about Meta's AI investments and its ability to demonstrate meaningful progress. The company plans to increase spending on AI data centers this year.

Sales teams struggle with AI

Sales teams are struggling to use generative AI effectively, according to a study by Breakthrough. The primary reason is that AI fails to capture the human element in sales. Sales personnel are using AI for content generation, prospecting research, and meeting preparation, but are finding it cumbersome to work with. The study found that 47% of sales professionals spend between 31 and 60 minutes daily on generic AI tools. AI may be able to scan through conversations and interpret actionable insights, but it can't find leads for businesses.

Sales teams struggle with AI

Sales teams are struggling to use generative AI effectively, according to a study by Breakthrough. The primary reason is that AI fails to capture the human element in sales. Sales personnel are using AI for content generation, prospecting research, and meeting preparation, but are finding it cumbersome to work with. The study found that 47% of sales professionals spend between 31 and 60 minutes daily on generic AI tools. AI may be able to scan through conversations and interpret actionable insights, but it can't find leads for businesses.

Foxconn predicts $33b AI server sales

Foxconn has predicted that AI server sales will reach $33 billion in 2025. The company is investing heavily in AI technology and is expected to play a major role in the development of AI servers. Foxconn's prediction is based on the growing demand for AI technology and the increasing use of AI in various industries.

India's startups tackle urban crises with AI

India's startups are using AI to tackle urban and environmental crises. The country has a unique position with its digital public infrastructure and a vibrant startup ecosystem. AI is being used in healthcare, agriculture, and environmental management to improve livelihoods and enhance food security. Startups like CropIn and Farmonaut are deploying AI solutions to provide farmers with actionable insights and personalized farm advice.

Tencent's AI investments pay off

Tencent's investments in AI are paying off, with the company posting its best quarter on record. Tencent's CEO, Pony Ma, said that AI capabilities have contributed tangibly to businesses such as performance advertising and evergreen games. The company has stepped up investments in AI opportunities and is expected to generate substantial incremental returns over the longer term.

Korean medical imaging AI companies secure contracts

Korean medical imaging AI companies, such as Lunit and Coreline Soft, have secured supply contracts in Germany. The companies are providing medical imaging AI solutions to private radiology networks and hospitals. Lunit has partnered with Starvision Service to deploy AI solutions across its 79 sites, while Coreline Soft has signed a deal to supply its AI-driven lung cancer screening software to the University Hospital Bonn.

Hollywood turns to clean AI

The film industry is turning to clean AI, with companies like Asteria and Flawless AI making their mark. The industry is shifting from gee-whiz tech to traditionally rigorous storytelling, with a focus on narrative and ethical AI usage. Companies like Fabula and Runway are partnering to use AI tools for film and TV production, while Netflix co-founder Reed Hastings is investing in AI and humanity initiatives.

AI a threat to Magnificent 7 stocks

The rise of AI may be an existential threat to the Magnificent 7 stocks, including Microsoft, Meta, and Alphabet. The industry is facing a sense of purpose, with companies like Apple struggling to innovate and integrate AI features into their products. The cost of Nvidia chips is also a concern, making it difficult for smaller companies to compete in the AI space.

Teen's AI text detection software

A teenager has developed software to detect AI-generated text, which has become increasingly sophisticated. The software uses machine learning to identify the unique characteristics of AI-generated text, making it a valuable tool in the fight against misinformation. The teen's software has the potential to help combat the spread of fake news and propaganda.

Accelerating AI training on Aurora supercomputer

The Argonne Leadership Computing Facility is hosting a virtual session to overview key AI frameworks and strategies for achieving high-performance training and inference on the Aurora exascale supercomputer. The session will cover examples of using PyTorch and TensorFlow on Aurora, as well as distributed training at scale using PyTorch with Distributed Data Parallel and TensorFlow with Horovod.

Sources

AI Meta Behemoth AI Model AI Investments AI Technology