šŸ‡ØšŸ‡³ New Chinese Models, Perplexity Merge With TikTok and How Good AI Is In History

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AI Innovators, Gather Round


Unlock 6 months of Notion AI for free, explore Perplexity AIā€™s bold bid to merge with TikTok, and learn how the Pentagon is using AI to accelerate its ā€œkill chain.ā€ Meanwhile, a new study highlights AIā€™s struggles with history, while Chinese AI company MiniMax claims its new models rival the industryā€™s best. 

In todayā€™s knowledge-packed edition: 

  • Unlock 6 Months of Notion AIā€”Free For Startups!

  • Perplexity AI Submits Bid To Merge With TikTok

  • The Pentagon Says AI Is Speeding Up Its ā€˜kill chainā€™

  • AI Isnā€™t Very Good At History, New Paper Finds

  • Chinese AI Company MiniMax Releases New Models It Claims Are Competitive With The Industryā€™s Best

  • 5 Customer Service Tools with Exclusive GenAI Discounts

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DAVID PAUL MORRIS/


Perplexity AI has submitted a bid to merge with TikTok US, aiming to create a new entity that includes Perplexity, TikTok US, and new equity partners. 

The move comes as ByteDance faces a US government deadline to sell TikTok or face a ban starting January 19, President Bidenā€™s last day in office. 

While President-elect Trump has indicated he might grant a 90-day extension, TikTok has warned it may have to shut down operations without clear assurances from the current administration. 

Perplexity hopes the merger will integrate more video content into its AI search engine.

BRYCE DURBIN

Leading AI developers like OpenAI, Anthropic, and Meta are partnering with the Pentagon to enhance military efficiency using AI, focusing on identifying and assessing threats while ensuring these systems do not harm humans. 

Generative AI is being deployed to accelerate decision-making in the militaryā€™s ā€œkill chainā€ processes, particularly during planning and strategizing phases. Companies like Anthropic and OpenAI are striking a balance between enabling innovation and adhering to policies that prohibit harmful applications of AI.

Recent collaborations include Meta working with Lockheed Martin, Anthropic teaming up with Palantir, and OpenAI partnering with Anduril. These partnerships highlight the growing role of AI in defense, despite ongoing debates about the ethical implications of autonomous weaponry and life-and-death decisions. 

The Pentagon emphasizes human oversight in decision-making processes and aims to use AI as a collaborative tool rather than an independent decision-maker.

While the defense sector increasingly integrates AI, some experts argue that working with militaries is essential to ensure responsible deployment and prevent misuse, recognizing that AIā€™s involvement in defense is inevitable.

METAMORWORKS

A new study has revealed that large language models (LLMs) like GPT-4, Metaā€™s Llama, and Googleā€™s Gemini struggle with advanced historical questions, achieving only 46% accuracy at best. Researchers tested these models using the Hist-LLM benchmark, which draws from the Seshat Global History Databank. 

While LLMs excel at tasks like coding, their historical knowledge is limited, often extrapolating from prominent data and failing with obscure or nuanced topics.

For example, GPT-4 incorrectly stated that scale armor existed in ancient Egypt 1,500 years before it actually appeared, highlighting gaps in historical understanding. The study also identified regional biases, with worse performance for areas like sub-Saharan Africa. 

Despite these limitations, researchers remain optimistic that refining benchmarks and training data could help LLMs support historians in the future.

Yuchiro Chino

Chinese AI startup MiniMax, backed by Alibaba and Tencent, has unveiled three new modelsā€”MiniMax-Text-01, MiniMax-VL-01, and T2A-01-HDā€”showcasing capabilities that rival leading U.S. AI systems. 

MiniMax-Text-01, with 456 billion parameters and a 4-million-token context window, excels at text-based tasks, outperforming models like Googleā€™s Gemini 2.0 Flash on benchmarks such as MMLU. MiniMax-VL-01 supports multimodal understanding, while T2A-01-HD specializes in advanced audio generation, cloning voices in 17 languages from just 10 seconds of input.

While these models are available via GitHub and Hugging Face, licensing restrictions limit their open-source usability. MiniMaxā€™s projects, such as the AI role-playing app Talkie and text-to-video tools, have sparked controversies over training on copyrighted material. The new releases come amid escalating U.S. export restrictions on AI technologies for Chinese ventures, tightening access to advanced chips and models necessary for cutting-edge AI development.

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