Another Crazy Day in AI 84/110

Another Crazy Day in AI: Web search joins the chat

Oct 31, 2024
4 min read

Hello, AI Enthusiasts.

With Thursday night settling in and the weekend just ahead, it’s time to catch up on the latest AI happenings.

OpenAI has updated ChatGPT to include real-time web searching, offering fresh answers that challenge traditional search engines like Google and Bing. This shift raises the question: is ChatGPT evolving into a serious alternative? Or is more needed to make that leap? 🔍

Meanwhile, Meta’s AI assistant has celebrated a significant milestone, surpassing 500 million active users just a year after its launch. Plus, Google is expanding its capabilities with new generative AI features for Google Maps Platform and Google Earth, enabling developers to tap into real-time, accurate information for various applications.

Dive into these updates as we wrap up the week! 🌙

Here's another crazy day in AI:

Live web search now in ChatGPT
Meta’s AI assistant reaches half a billion users with big plans ahead
Google boosts Maps and Earth with generative AI features
Some AI tools to try out

TODAY'S FEATURED ITEM: Introducing ChatGPT with Web Search

Image Credit: Wowza and OpenAI (edited with Canva)

Is ChatGPT becoming a serious search engine competitor?

OpenAI has just given ChatGPT a significant update: real-time web search. Reported by Melissa Heikkilä and Mat Honan for MIT Technology Review, this feature puts ChatGPT in closer competition with established search engines like Google and Bing. Now, instead of only relying on data up to October 2023, ChatGPT can search the internet for live updates, whether it’s breaking news, sports scores, or trending topics. This development raises an intriguing question: Could ChatGPT’s conversational search capabilities pose a real challenge to traditional search engines?

How ChatGPT’s New Search Works:

Live Answers to Recent Questions: ChatGPT now retrieves and provides answers from the web on current events and real-time topics.
Seamless, Automatic Search: When it detects a need for live data, ChatGPT searches the web automatically, while users can also choose to start searches as needed.
Expanded Reach for Subscribers: Currently available to paid users, the feature is expected to roll out to all users in the future.
Engaging Follow-Up Conversations: ChatGPT retains chat history, allowing it to remember prior discussions and build on them, creating a more nuanced search experience.
Partnerships with Established Sources: OpenAI leverages reputable publishers like Reuters and the Financial Times, along with broader online sources, to generate reliable responses.
Remaining Challenges: There are some risks—like the potential for misinformation—especially when AI retrieves information from sources that may not be fully accurate or vetted.

These features reflect OpenAI’s ambition to make ChatGPT a flexible, knowledgeable assistant for users. With the power of live search, ChatGPT is no longer confined to past data, enhancing its relevance and utility. Rather than serving up a list of sources, it synthesizes information into cohesive answers and supports users in exploring topics through ongoing conversation. This unique format could appeal to users looking for something beyond the traditional search experience.

Yet, there are some important limitations. For example, as natural language models can sometimes introduce inaccuracies or "hallucinations," ChatGPT’s AI-generated responses may occasionally pull in questionable information from less reliable sites, a known concern with open-access web data. As University of Washington’s Chirag Shah points out, the AI’s format and approach differ significantly from Google’s, where users still trust the traditional, vetted link results. OpenAI will need to manage these issues as it ventures deeper into the world of real-time information retrieval.

As ChatGPT’s search capability evolves, it opens a broader question about how AI might reshape the online information landscape. This feature could shift user expectations around search itself, making it less about endless scrolling and more about direct interaction. Whether or not it ultimately rivals search engines like Google, ChatGPT’s enhanced role in information gathering and interaction is a sign of AI’s growing influence in how we find and use information.

Read the full article here.

OTHER INTERESTING AI HIGHLIGHTS:

Meta’s AI Assistant Reaches Half a Billion Users with Big Plans Ahead

/Samantha Kelly on CNET

Meta’s AI assistant has surpassed 500 million active users just one year post-launch. CEO Mark Zuckerberg announced the platform’s impressive growth during a recent earnings call, highlighting Meta’s plans to further integrate AI across Facebook, Instagram, Messenger, and WhatsApp. As competition in the AI space heats up, Meta plans to bolster infrastructure to enhance capabilities and address complex tasks, cementing its position as a leader in consumer AI. Meta’s open-source Llama model is also growing in use, with Llama 4 anticipated early next year.

Another Crazy Day in AI: Data Done Right

Oct 30, 2024
4 min read

Hello, AI Enthusiasts.

It's Wednesday evening, and we're officially on the downhill slope of the week! How’s it been going so far?

As AI transforms how we handle data, the importance of applying it thoughtfully has never been greater. Pryon’s CEO Igor Jablokov and Cosima Piepenbrock from the World Economic Forum offer three strategic approaches to ensure AI-driven decisions stay on track. 📊

PLUS: Oracle’s latest EHR system uses AI and the cloud to innovate healthcare, and Elon Musk’s interview with Dr. Alexander A. Khalessi covers Neuralink’s mission and tech hurdles at the Congress of Neurological Surgeons.

Take a breather and dive into these midweek updates. 🌙

Here's another crazy day in AI:

Three strategies for responsible AI data use
Oracle debuts next-gen EHR with AI integration
Exploring Neuralink’s vision for brain-computer interfaces with Elon Musk
Some AI tools to try out

TODAY'S FEATURED ITEM: Strategies for Responsible AI-Powered Insights

Image Credit: Wowza (created with Ideogram)

In a world drowning in data, how do organizations stay afloat while ensuring they're swimming in the right direction?

As the amount of data generated globally continues to soar, organizations are facing the challenge of finding actionable insights in an ocean of information.

The World Economic Forum brings us a timely perspective from Igor Jablokov (CEO of Pryon) and Cosima Piepenbrock (Head of Product Intelligence & UX) on navigating today's data challenges. With data expected to reach 175 zettabytes by 2025—triple the amount from 2019—organizations need more than just advanced tools; they need a clear strategy for turning this flood of information into meaningful insights. They outline practical approaches for organizations to harness AI's potential while maintaining data integrity.

Three Practical Approaches for Responsible AI Use:

Expand Information Visibility:
With AI, companies can weave a "knowledge fabric" from diverse data sources. This approach enables leaders across all levels to access a comprehensive view of information, making insights available to more people, not just those with exclusive data access.
Curate Reliable Data Sources
By creating a curated library of trustworthy information—such as proprietary data, licensed publications, and verified public resources—organizations can rely on dependable insights and protect themselves against misinformation.
Balance AI Use with Control
Establishing a framework for monitoring AI content and tools allows organizations to reduce the risks of bias, error, or inaccuracy. This measured approach makes it easier to scale AI use without compromising data quality or control.

Content and security | Image Credit: Pryon — Content and Security | Image Credit: Pryon

As organizations continue to implement generative AI, responsibly managing these vast data sources becomes crucial. Jablokov and Piepenbrock point out that, without thoughtful safeguards, AI’s potential risks—from spreading misinformation to compromising proprietary data—could lead to unintended consequences that impact both reputation and trust. These risks remind us that simply having access to data doesn’t equate to meaningful insights.

In the future, the companies that thrive will be those that balance AI-driven innovation with robust data governance. They’ll be the ones to leverage AI as a transformative tool, helping their teams make better, faster, and more accurate decisions. With strategies in place to address responsible AI use, these organizations will have a competitive edge in not just handling but truly understanding the flood of data surrounding them.

The goal isn't to process everything, but to process what matters most—and to do it well.

Read the full article here.

OTHER INTERESTING AI HIGHLIGHTS:

Oracle Debuts Next-Gen EHR with AI Integration

/Ashley Capoot on CNBC

Oracle recently launched a next-generation electronic health record (EHR) equipped with cloud and AI capabilities, marking its most substantial product release since its $28 billion acquisition of Cerner in 2022. Designed to streamline workflows, Oracle’s EHR simplifies navigation and enables doctors to access patient information with voice commands. The update arrives as Oracle strives to secure a foothold in the competitive EHR market, with innovations that allow clinicians to pull up detailed patient data quickly, freeing up more time for patient care.

Read the full article here.

Exploring Neuralink’s Vision for Brain-Computer Interfaces with Elon Musk

/Elon Docs (@elon_docs) on X

In a recent interview with Dr. Alexander A. Khalessi for the Congress of Neurological Surgeons, Elon Musk elaborates on Neuralink's mission and technological challenges. Musk outlines Neuralink’s early success with brain-machine interface implants and the potential applications for treating neurologic conditions, from ALS to spinal cord injuries. He emphasizes the ambitious goal of a “whole-brain interface” and describes how robotics and scalable design could make implants widely available, setting the stage for potentially revolutionary advancements in neurological healthcare.

Watch it with timestamps on X here.

SOME AI TOOLS TO TRY OUT:

Sourcely - Paste your paper to find, summarize, and cite credible academic sources.
Clarity AI - High-resolution upscaler that enhances images with customizable detail.
Inncivio - Learn faster with personalized AI-driven micro-learning.

That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is now on LinkedIn!!!

Another Crazy Day in AI: The careful path forward

Oct 29, 2024
4 min read

Hello, AI Enthusiasts.

This Tuesday evening, after the hustle of the day, let’s explore some intriguing developments in AI.

With AI rapidly reshaping industries, the race to implement it across enterprises is on—but few CIOs have achieved full implementation. What’s holding them back? Find out in the recent Salesforce survey report, which highlights the challenges faced by organizations in their AI adoption journey.

Plus, check out the insights from the new longitudinal GenAI adoption survey by the Wharton AI & Analytics Initiative and GBK Collective. Also, catch Elon Musk's recent thoughts on AI evolution, as he claims it may soon rival human intelligence.

Let’s jump right in!

Here's another crazy day in AI:

Data and Security concerns leave only 11% of CIOs fully implementing AI
AI Adoption Report: Wharton highlights Gen AI's expanding role
Musk predictions on AI's exponential growth and human parity
Some AI tools to try out

TODAY'S FEATURED ITEM: New Survey Reveals AI Adoption Challenges

Gmail | Image Credit: Wowza (created with Ideogram)

Image Credit: Wowza (edited with Canva)

How prepared are businesses really for the AI revolution, and what's holding them back?

A recent Salesforce survey of 150 enterprise CIOs reveals a striking contrast between AI aspirations and reality. While business leaders widely acknowledge AI's transformative potential, the actual implementation tells a different story. This comprehensive study across 18 countries and 17 industries shows that organizations are taking a more calculated approach, focusing on building strong foundations before diving into full-scale AI adoption.

CIO's AI Fears — Source: Salesforce Survey

What the research reveals:

Vision vs. Reality: 84% of CIOs believe AI will be as transformative as the internet, but real-world challenges keep full integration out of reach for most.
Data Takes Priority Over AI: CIOs are currently investing four times more in data management than in AI, seeing solid data infrastructure as a necessary foundation.
Pressure to Lead on AI: Over 60% of CIOs feel a high expectation to become AI experts, even as many turn to industry peers for insights and support.
Balancing Expectations and ROI: 68% of CIOs sense that business partners have high expectations for AI’s return on investment, often with timelines that feel unrealistic.
Readiness Mismatches Across Departments: While customer service is often seen as AI-ready, some CIOs find it less prepared, while marketing is enthusiastic yet lacking in AI-specific skills.

While enthusiasm for AI is high, getting from concept to full deployment demands a strong data strategy, foundational technologies, and robust security protocols—especially as unregulated “shadow AI” tools risk slipping into daily use without oversight.

Moving forward, many CIOs are taking the long view, recognizing that AI success is about building an infrastructure that not only meets immediate goals but is flexible enough to grow with the company. AI offers immense possibilities, but by taking a measured approach and focusing on sustainable growth, CIOs can help create a future where AI becomes a fully integrated and valuable part of business operations—not just a trendy add-on.

It’s a long-term game, and those who approach it with the right groundwork will likely see the rewards as AI continues to evolve.

Read the full article here.

OTHER INTERESTING AI HIGHLIGHTS:

AI Adoption Report: Wharton Highlights Gen AI's Expanding Role

/Jeremy Korst, Stefano Puntoni, and Mary Purk, Wharton AI & Analytics Initiative

In a new report from the Wharton AI & Analytics Initiative and GBK Collective, researchers provide insight into the swift growth of Generative AI in business, with 72% of senior leaders at large firms using Gen AI weekly—double the previous year’s rate. While enthusiasm and positive outcomes are widespread, challenges around measuring ROI remain, especially as companies explore targeted, scalable use cases. The report suggests future success will rely on adaptable cultures and continued investment, though the pace may taper as organizations seek efficiency. Featured on LinkedIn by Ethan Mollick.

Check out Mollick's LinkedIn post here.

Read the full report here.

Musk Predictions on AI's Exponential Growth and Human Parity

/Tsarathustra (@tsarnick) on X

In a recent conversation, Elon Musk shared predictions on AI’s acceleration, suggesting it is advancing at ten times the rate each year and could soon match human cognitive abilities. Musk foresees AI achieving the intelligence of a single human within one or two years and equaling the combined intelligence of all humans by 2029. This rapid evolution, he notes, will likely reshape our understanding of human-machine parity within the decade. Published on X.

Check it out on X here.

Watch the full conversation here.

SOME AI TOOLS TO TRY OUT:

Quillminds - Personalized study guides, concept explanations, and practice questions.
SwarmStack - AI-powered product planning tool with targeted recommendations.
Read AI - AI-driven meeting summaries, transcriptions, and insights.

That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is now on LinkedIn!!!