Today in AI

• News roundup

• Today’s big story

• AI research changing the world

• Tool spotlight

• This week on the podcast

News roundup

The top stories in AI today.

MODELS

Deployment, research, training, infrastructure

• Schrödinger’s LLM: Why deriving meaning from AI requires human observation

• A well-paid niche job market is emerging for human experts to train AI models

• Can AI save a slowing SaaS industry?

• Rabbit Launches Beta Version of New Large Action Model

• New research shows bigger AI models not always better

NEW LAUNCHES

The latest features, products & partnerships in AI

• Gmail replaces Smart Replies with ‘contextual’ AI suggestions

• SFChronicle unveils AI tool to answer your Kamala Harris questions

• Google, Warner Bros partner to bring AI captions to Max streaming

• Google’s NotebookLM will now summarize and analyze YouTube videos

FUTURE OF WORK

Jobs are changing — are you?

• Strategies for leaders to overcome the AI skills gap

• Samsung AI chief foresees a future where AI is embedded in everything

• How to remain competitive in the emerging AI job market

• How IT leaders are approaching AI for data management

• Teachers are turning to AI for help as students return to school

• HBR: Why data collectives are the next frontier of labor relations

• The AI gender paradox: women are most impacted but least engaged

GOVERNMENT

Press releases, regulation, defense & politics.

• Maryland launches free AI training for 40,000 state workers

• AI-powered 911 tech firm Prepared secures $27M funding

• Inside China’s plan to make AI watermarks happen

• Existential risk and the need for US-China AI cooperation

• California governor faces deadline on crucial AI safety bill

• Super Micro faces DOJ probe for allegedly circumventing Russia sanctions

• 100+ companies have pledged compliance with the EU AI Act

HARDWARE

Computers, phones, chips & AI powered devices

• What mysterious AI gadget is Jony Ive Really building?

• Spigen’s new iPhone 16 case adds AI-powered camera button

• AI chip race heats up as Google and Meta upgrade models

• HP EliteBook X tested: Powerful AI laptop or overhyped?

• Skydio unveils new docking station for its X10 AI drone

• Musk’s Memphis AI hub achieves major breakthrough

• The Hohem iSteady is a truly useful AI-powered phone camera accessory

• Apple rumored to be working on new AI-powered ‘HomeAccessory’

What’s happening in AI right now

Open models and the future of innovation

A seismic shift is underway in the artificial intelligence landscape. As tech giants race to build ever-larger language models, a parallel movement is gaining momentum: the democratization of AI through open-source models. This trend, exemplified by recent developments from AMD and the Allen Institute for AI, could reshape the future of innovation in the field.

Open models: the new frontier

AMD's release of its first small language model, marks a significant milestone. Based on the Llama family, this open-source model comes in two variants and was trained using AMD's own hardware. By open-sourcing the model's code, dataset, and weights, AMD is not just showcasing its AI capabilities; it's inviting collaboration and innovation from the wider community.

This move aligns with a broader trend in the AI ecosystem. The Allen Institute for AI's recent release of an open-source model combining image interpretation and conversational abilities, further illustrates this shift. Molmo's capabilities, previously limited to proprietary models, are now freely available for developers to build upon.

These developments suggest a future where AI innovation is not solely driven by large tech companies but by a diverse community of researchers, developers, and businesses.

The power of customization

The surge in AI model listings on platforms like Hugging Face which recently surpassed the 1 million mark, underscores another key aspect of model development: customization. As Jeff Boudier, Hugging Face's head of product, notes, "The future is not a single model to rule them all, but rather a rich ecosystem of models specialized for specific use cases and industries."

This proliferation of specialized models perhaps points to a future where AI solutions are increasingly tailored to specific needs. From audio processing to language tasks and image analysis, the diversity of models available is staggering. This trend towards specialization could lead to more efficient and effective AI applications across various industries.

Human expertise and model development

Despite the rapid advancement of AI models, human expertise remains crucial. The emerging market for highly specialized AI trainers as reported by The Information, highlights this ongoing symbiosis between human knowledge and machine learning. Companies are investing in human-assisted training programs to enhance model capabilities, reduce errors, and teach AI to distinguish fact from fiction.

This trend suggests that the future of AI development will likely involve a close collaboration between advanced models and human experts. As models become more sophisticated, the role of human trainers may evolve, focusing on increasingly specialized and nuanced aspects of knowledge and decision-making.

The road ahead

The future of AI models appears to be one of increased accessibility, customization, and collaboration. As open-source models become more sophisticated and widely available, we may see a burst of innovation across various sectors.

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AI research changing the world

The latest breakthroughs and most pivotal papers — broken down in language anyone can understand.

AI breaks 2,000-word barrier, paving the way for novel-length content generation

Imagine a world where AI doesn't just respond to prompts but crafts entire novels, comprehensive research papers, or in-depth investigative reports. This future is now on the horizon, according to groundbreaking research from Tsinghua University. Their study introduces LongWriter, a revolutionary approach that extends AI's text generation capabilities from a mere 2,000 words to an astounding 10,000+ words. This isn't just about quantity; it's a potential paradigm shift in how we create, consume, and interact with written content. The researchers have developed AgentWrite, an innovative pipeline that allows AI to plan, structure, and execute long-form writing tasks with coherence and depth previously thought impossible. This breakthrough could reshape industries from journalism to academia, potentially automating the creation of first drafts for books, research papers, and comprehensive reports. However, it also raises profound questions about the future of human creativity and the job market for writers. As AI becomes capable of producing novel-length content, how will we redefine authorship, creativity, and the value of human-generated ideas? The implications extend far beyond the realm of writing, potentially transforming how we approach complex problem-solving and project planning across various sectors.

The AI tool we’re loving right now

The best way to get AI literate? Try the tools!

BigVu

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• Eye contact correction

• Subtitle & caption generation

• Video-to-text transcription

• Script generation

• Teleprompter

• AI voice changing & cloning

• Background music generator

• Post Scheduler

• Landing page generator

• And much more

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This week on the podcast

Can’t get enough of our newsletter? Check out our podcast Future-Proof.

In this episode Anthony, Shane, and Elizabeth discuss the transformative impact of AI on sales processes and e-commerce. The conversation highlights the competitive edge that AI-native companies have over traditional businesses, the evolving landscape of customer interactions, and the potential for AI to streamline workflows and enhance personalization at the same time.