01-23-2026

Turn PDFs Into Podcasts and Slides

Adobe Acrobat now makes complex documents easier PLUS: LiveKit’s $1B boost, Inferact’s $150M raise, and Gemini’s AI answers

Good morning, AI enthusiasts. Adobe Acrobat’s new AI capabilities let users quickly turn complex PDFs into podcasts and slide decks, simplifying how information is consumed and shared. This update aims to cut down the hours normally spent processing dense documents by providing audio and visual summaries.

These features show how AI is increasingly integrated into everyday productivity tools, raising the question: how will this shift impact the way professionals manage multitasking and information overload? Streamlining document intake could change workflows significantly across many industries.

In today’s AI recap:

  • Adobe Acrobat converts PDFs into audio podcasts and slide presentations
  • LiveKit hits a $1 billion valuation powering AI voice for ChatGPT and major clients
  • Inferact raises $150 million to accelerate AI inference speeds and lower costs
  • Google’s AI Mode personalizes answers using Gmail and Photos data

Adobe Acrobat AI Transforms PDFs into Podcasts and Slides

From Larry Bruce:
"Adobe Acrobat's new AI features empower professionals to consume complex documents in minutes rather than hours. This innovation is a prime example of how AI now helps reshape daily workflows and unlock fresh productivity gains for early adopters and tech innovators alike."
— Larry Bruce, BDCbox

The Recap: Adobe Acrobat now integrates AI tools that turn long or complex PDFs into easy-to-listen podcasts and organized presentation slides, speeding how users digest and share information.

Unpacked:

  • The new AI features enable users to convert PDFs into audio podcasts, allowing professionals to listen to reports, manuals, or research while multitasking or on the go.
  • Users can also transform PDFs into clear, structured slide decks, which simplifies creating presentations directly from documents without manual work.
  • This development follows broader industry trends where AI reshapes how information is consumed in business and research workflows, similar to innovations like Google NotebookLM, but with a focus on productivity tools embedded in established software.

Bottom line: These AI tools reduce time spent processing complex documents and enable multitasking professionals to absorb content more flexibly. Adobe Acrobat’s integration marks a practical step forward in embedding AI in everyday productivity apps for real-world impact.

LiveKit’s $1B Valuation Powers Next-Gen AI Voice

From Larry Bruce:
"LiveKit’s leap to a $1 billion valuation highlights how AI voice infrastructure moves from niche tech to a must-have foundation. For professionals, this means AI-powered voice tools are becoming more reliable and integrated across industries, enabling smoother, real-time communication workflows."
— Larry Bruce, BDCbox

The Recap: LiveKit raised $100 million to hit a $1 billion valuation, cementing its role powering OpenAI’s ChatGPT voice mode and serving major clients like Tesla and Salesforce. This funding signals growing investor trust in AI voice and video infrastructure as a backbone for future productivity tools. LiveKit announcement

Unpacked:

  • LiveKit’s $1 billion valuation reflects strong investor confidence in the real-time AI voice and video infrastructure market, signaling this tech’s fast expansion.
  • The platform enables OpenAI’s voice features and supports companies like Tesla and Salesforce, showing how it drives AI communication across major tech ecosystems.
  • As voice AI grows, robust infrastructure like LiveKit’s ensures seamless, scalable integration, powering both developer tools and user experiences.

Bottom line: The growth of LiveKit underscores how AI voice infrastructure is critical for bringing AI-powered communication tools to life. This fuels practical innovations that help professionals automate tasks and collaborate more efficiently.

Inferact Powers Faster AI with $150M Seed Round

From Larry Bruce: "Inferact’s $150 million seed funding marks a key advancement in AI infrastructure, unlocking faster and more cost-effective AI deployment. Professionals looking to scale AI applications should watch how inference acceleration drives new efficiencies." — Larry Bruce, BDCbox

The Recap: Inferact raised $150 million at an $800 million valuation to commercialize vLLM technology that speeds up AI model inference—the critical step that powers real-time AI applications.

Unpacked:

  • Inferact’s vLLM technology accelerates how AI systems generate predictions, letting developers deploy models faster and at lower cost.
  • Faster, more affordable inference removes a major bottleneck in scaling AI tools, helping companies automate tasks and boost productivity.
  • This large seed round highlights growing investor confidence in AI infrastructure improvements that expand AI accessibility and usability.

Bottom line: Inferact’s infusion of capital promises accelerated AI deployment timelines and reduced operational costs. This progress brings more powerful AI tools within reach for a wider range of businesses and creators.

Google’s AI Mode Gets Personal, Boosting Workflows with Gmail and Photos

From Larry Bruce:

"Google’s AI Mode now taps into your Gmail and Photos to deliver personalized answers that transform searches from generic to contextual. Professionals seeking smarter, tailored AI tools will find this update a leap toward true productivity enhancement."

The Recap: Google Search’s AI Mode now includes 'Personal Intelligence,' which uses your Gmail and Google Photos data to provide AI-powered answers based on your personal context, upgrading the typical search experience.

Unpacked:

  • This integration lets AI pull from your emails and photos to tailor answers specifically to you, saving time and reducing manual searching.
  • It positions Google’s AI Mode to better compete with other assistants by shifting from general responses to highly customized outputs that fit your daily work and life tasks.
  • The update raises important privacy considerations, reminding users to balance convenience with data security as personalized AI grows more capable.

Bottom line: Personalized AI answers represent a practical step forward for automating routine tasks and making information retrieval more intuitive. As AI tools become more context-aware, professionals can expect workflows to become faster, smarter, and increasingly tailored to individual needs.

The Shortlist

Humans& raised $480 million seed funding to build next-gen foundation models focused on social intelligence and collaborative coordination, aiming to upgrade AI beyond solo chatbots for more realistic teamwork and decision-making.

Google updated its AI Mode Search with "Personal Intelligence," enabling it to tap into your Gmail and Google Photos to deliver personalized, context-aware answers that better match your life and plans, enhancing productivity and user experience.

Anthropic revised its technical interview test repeatedly to prevent cheating with its Claude AI, highlighting the challenge AI tools pose to candidate evaluation and how cutting-edge AI can surpass human applicants under testing constraints.

Sparkli launched an interactive AI-powered learning app for kids that combines generative AI with immersive media and choose-your-own-adventure styles, aiming to engage children aged 5-12 with educational expeditions beyond conventional text or voice.

Neurophos raised $110 million to develop compact optical processing chips that promise much higher AI inference speed and energy efficiency compared to traditional silicon GPUs, leveraging metamaterials and photonics to address AI hardware power challenges.

Google hired the CEO and key engineers from voice AI startup Hume AI, signaling the strategic importance of voice as the next dominant AI interface and DeepMind’s push to enhance Gemini’s voice capabilities with emotional intelligence.

Inferact closed a $150 million seed round at an $800 million valuation to commercialize vLLM technology that accelerates AI model inference, helping make AI applications faster and more affordable to deploy in real-world scenarios.

Mercor released a benchmark called APEX-Agents showing current AI models still struggle with complex knowledge work tasks in consulting, law, and investment banking, managing only about 24% accuracy, highlighting AI’s ongoing challenges in high-value white-collar jobs.

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