Image of OpenAI’s logo on a black background in a big white font.
Hey Everyone,
I’ve been waiting for this moment for many many months.
(☝—💎For a limited time get a Yearly sub for just $5 a month✨— ☝).
We live in interesting times. They finally did it, OpenAI has released a Search product. Well, kinda. In this article we are going to analyze all things Search in the era of Generative AI. There’s more to unpack than one would assume.
Two years after ChatGPT went live, OpenAI have 250 million weekly active users, and 75% of their revenue comes from paid consumers of ChatGPT. So no wonder they put their SearchGPT prototype into ChatGPT with ChatGPT Search, a big new announcement late last week.
If you are like me, two years later, you likely use Google for search a lot less due to ChatGPT and Perplexity. However Google is also using Generative AI to boost Ad sales in Google’s Search Ad’s dominance, with Google Cloud and Search revenue booming while BigTech will spend around $200 Billion in capex in 2024, mostly due to investments in AI related infrastructure.
Search GPT inside of ChatGPT
Take a look inside the new ChatGPT Search:
A short video on ChatGPT Search within ChatGPT 44 seconds long:
OpenAI, Nvidia, Anthropic and Perplexity – in a League of their Own
With OpenAI’s CFO talking about PhD capabilities (listen to the 14 minute interview here) of their AI technology, you really have to wonder. Two years after ChatGPT went live, Nvidia has now captured 92% of the data center, (AI chip) GPU market, according to market researcher IoT Analytics. If you didn’t know who Nvidia, OpenAI, Anthropic or Perplexity were before, you likely do now – because these are the four horsemen of the Generative AI revolution.
From a massive list of AI tools, winners are starting to emerge and dominate how consumers are adopting Generative AI. These tools are so powerful, minor AI tools and products are usually not needed. It’s somewhat a numbers game here of scale. OpenAI love them or hate them have scale.
ChatGPT Search 🔎
OpenAI’s search is now embedded within ChatGPT, and could be a significant feature that begins to disrupt Google, just based on the volume they will handle with their growing user base.
ChatGPT search is available to all ChatGPT Plus and Team users, as well as SearchGPT waitlist users, and will be available to ChatGPT Edu and Enterprise users in the coming weeks.
Whether you believe Generative AI is just another Silicon Valley hype bubble, OpenAI have managed to achieve scale in just two years. The nearly $15 billion they received from Microsoft enabled them to build an AI monopoly in chatbots, that gives them a huge advantage when it comes to agents and improved Search capabilities.
ChatGPT can now search the web in a much better way than before so you get fast, timely answers with links to relevant web sources.
It’s about Utility Stupid
We are at an unprecedented moment in technology that could change the internet forever. I can summarize and draft Emails with AI, engage with Generative AI with dubious hallucination rates, and believe I am being empowered by AI at every turn. Simply being able to search without traditional Ads is a nice change. Meanwhile category leaders like ElevenLabs in audio and Midjourney in text-to-image just keep improving and building new products.
ChatGPT Upgraded
Two years later after ChatGPT came online, the world is a vastly different place.
ChatGPT is becoming more immersive now with Search capabilities where it blends the benefits of a natural language interface with the value of up-to-date sports scores, news, stock quotes, and real-time explainability.
Is OpenAI the Apple of Generative AI? 🍎
If 75% of OpenAI’s revenue comes from consumers, it’s the Apple of Generative AI. Anthropic and xAI may never have that kind of consumer emphasis, and have to have bigger B2B and Enterprise AI plays.
OpenAI has such a lead in scale, it’s hard to quantify at times but two years later, ChatGPT is more than a killer product. The consumer strategy of the firm for its ChatGPT product begins at $20 a month and according to Bloomberg reporting OpenAI is turning 5% to 6% of its free users into paying memberships. That’s a really good conversion rate and a way they can spin out more products. That means for as much as OpenAI will spend in 2025 and 2026 to grow, it might actually be worth it. In many ways these are the companies to watch:
OpenAI
Anthropic
Meta
xAI
When we talk about search however we need to consider what Perplexity could become in the next two years.
How to Use Perplexity in your daily workflow
OpenAI Search vs. Perplexity
According to data from FlexOS, and their AI for Work Top 100 report:
Perplexity grew 1.5x in traffic over nine months, reaching 72.3 million site visits and moving up two spots in September. It now holds 60% of the AI research category’s traffic and is 3x its closest competitor, Liner (#11). And while the US is the primary market for Perplexity in absolute numbers, Perplexity sees just as much total traffic from Asian countries, including Indonesia, the Philippines, Japan, and India.
Even though Perplexity shows real signs of becoming “the new Google” according to the report, it isn’t yet competing on the same scale as Google. In fact, Perplexity’s usage is less than 0.1% of Google’s volume.
Perplexity is a great product, but it’s no ChatGPT. And you have to wonder how the two will compete for eyeballs.
Perplexity has a Huge Challenge to Scale
Graph showing the traffic volume of Perplexity relative to traditional search engines.
Perplexity Upgrades
Until recently, Perplexity mainly prioritized informational queries. But search is about anything you want to do. A navigational query is essentially a link/sitemap as an answer. They recently made it even easier to navigate the web, especially useful when you set Perplexity as your default search.
Is Google Labs’ NotebookLM the Next ChatGPT?
Two years later after ChatGPT, there is another AI product that is going viral – read our guide. NotebookLM is yet another way to summarize and organize information with the help of Generative AI or create Audio Overviews that are like synthetic podcasts.
According to a Tweet by Olivia Moore of a16z, NotebookLM is sustaining its traffic spike.
Graph of NotebookLM product weekly web visits showing a plateau trend after a huge spike in late September, 2024.
The Future of Consumer and Enterprise Search
What’s clear is Generative AI are impacting our behaviors online, and doing more specialized searches and summarizing information faster is a big part of that. In Enterprise Search a company called Glean is making waves.
Everything from Apple Intelligence to desktop apps of ChatGPT and Perplexity are changing our daily workflows. The launch of a search product at OpenAI and now in ChatGPT was long awaited and fairly anticipated. With all the noise few people realize that Google launched real-time search capabilities for its Gemini AI platform on Thursday, enabling its language models to access current information from Google Search.
Meta that saw astounding growth in Ads due to its capex in 2024 so far, is also working on a Search engine for its family of apps. It may not be Perplexity or OpenAI who are the big winners of Generative AI search, but actually Meta. So the playing field just got a lot more intense. Search Ad revenue is outside of Cloud computing, the best and most lucrative business model in the world. Amazon with its Ads business growing needs to build its own search engine too to remain competitive and to gain even more marketshare. This means Anthropic, whose biggest investor is Amazon, is likely to also build some sort of Search capabilities in Claude.
Two years ago ChatGPT stunned the world and it’s actually made companies like Google and Meta fundamentally better companies and more innovative. I cannot say the same yet for Amazon or Microsoft but Apple is making more solid product-driven progress. Amazon’s R&D has always been impressive but capex is $75 billion in 2024 the company will have to spend more in 2025. Amazon could be even half of BigTech’s capex in 2025. That’s how fierce the battle for AI supremacy is becoming in BigTech.
All of this scale and spending is eventually going to lead to better products, more convenience and more advanced AI capabilities for consumers. Some of the customer testimonials for Perplexity are also starting to sound a bit more legit. Since things like search, Emails, research, writing and coding are such a big part of our lives – Generative AI is starting to get a better handle on these things two years later.
The launch of ChatGPT has meant that our digital life is increasingly mediated by AI intermediaries, for good and for ill with profound implications that I try to cover in this Newsletter to the best of my ability.
ChatGPT Search in a Nutshell – Omnichannel OpenAI Era
In ChatGPT Search there’s no clutter of advertising or promoted queries pinned to the top.
ChatGPT Search is designed to give “timely answers” to questions in a natural conversational flow, OpenAI says, drawing from a range of online sources.
Powered by a fine-tuned version of OpenAI’s GPT-4o model, ChatGPT Search serves up information and photos from the web.
OpenAI has an extensive list of partners its made deals with including much of legacy media.
Rather than launching as a separate product, web search will be integrated into ChatGPT’s existing interface.
The new search functionality will be available across all ChatGPT platforms: iOS, Android, and desktop apps for macOS and Windows.
ChatGPT will choose to search the web based on what you ask, or you can manually choose to search by clicking the new web search icon.
So the way Search is embedded in ChatGPT feels different and less manual. Search offers a new customer retention feature within ChatGPT that might make it grow even faster.
“SearchGPT is designed to help users connect with publishers by prominently citing and linking to them in searches,” according to OpenAI’s blog post. OpenAI has touted how closely they worked with publishers, e.g. SearchGPT was developed in collaboration with various news partners, which include organizations like the owners of The Wall Street Journal, The Associated Press, and Vox Media (Verge).
Are we witnessing “a winner takes all” Scenario?
Students are driving ChatGPT usage and adoption. ChatGPT added 50 million weekly users in just two months in a seasonal display of dominance in AI products. Back to school time means a lot more kids want to prompt, query, get ahead and evolve with the times too. So why would you search on Google if you are already doing other things within ChatGPT? Wouldn’t you prefer the No-Ads option? It begs a lot of questions in how adoption of Search within a Chatbot will be experienced and take place.
Given the amount of web traffic that ChatGPT gets, it’s not entirely surprising that paid subscriptions make up the bulk of their revenue model in late 2024. OpenAI recently secured $6.6 billion (provisional on a pivot to a new for-profit structure) in funding and a $4 billion line of credit to support its infrastructure plans. At this juncture of the article, let’s return to the report by FlexOS that I always find interesting.
With Ben Tossell’s AI Newsletter going from news to an AI for work course and learning ecosystem, it makes me wonder about AI for Work. It’s actually a monthly series by FlexOS and this is the 8th edition.
It’s not just that AI tools or search is getting better, but Enterprise AI is pushing AI for work now. AI agents of 2025 are supposed to not just be shiny text-to-video platforms but actually improve our productivity and task automation at scale. The actual ecosystem of AI tools leaves a lot to be desired which brings one back to the massive scale of ChatGPT as a kind of winner-takes-all of the hype trend.
What Types of AI Tools are Trending in October 2024?
Two years later, research and coding tools are trending compared to text-to-image and writing AI software.
It’s not surprising that AI tools that help with these activities are popular at work as they get a bit better:
Research
Programming & Coding
Presentation Generators
Meeting assistants
Graph by FlexOS depicting trending categories in AI for work tools.
Perplexity is at the Intersection of Search & Research
The reason academics and a lot of white collar professionals use Perplexity over Google is because it’s not just casual search, but a deep and specialized research tool. In my projection, 2025 really is the big year for Perplexity’s adoption.
Evidence of its popularity is clear: monthly traffic has surged 25%, and searches have increased by 24%, boosting Perplexity’s ranking by two spots in the top 10 AI tools for work, according to FlexOS:
Oddly they rank Canva’s AI suite as their number two. Canva this year acquired Leonardo AI. Both Canva and Notion are making interesting plays to take on the likes of Google and Microsoft. Notion that uses AI extensively in its product, announced a waitlist for Notion Mail that will have a lot of AI features.
I am not sure how text-to-music app Suno made it on to an AI for Work Tools list, but it does have great consumer adoption in 2024. Meanwhile I think text-to-video will have a breakout year in 2025 where OpenAI’s Sora will likely also go live. They will likely bake Sora into ChatGPT itself as well.
Claude certainly has a lot of business applications and Enterprise adoption happening in the next six months, as Anthropic has gotten so much better in product-market fit. Most people in tech today use Claude over ChatGPT for many tasks including coding related activities. I think their report analyzes consumer adoption of various AI tools in a useful way, but it’s not strictly for work.
Perplexity is not a Search but a Research App
To understand Perplexity, read our guide here, it’s not search that is the key component, it’s deeper research. It commands over 60% of AI research traffic. The FlexOS report highlights that Perplexity dominates the AI research tool category, capturing 61.64% of all traffic.
While consumers might use ChatGPT Search for light everyday trival searches and Google for other basic things, for work related search and actual research, Perplexity has a huge market to tap into including white collar professionals.
This is going to be a huge advantage for Perplexity, and it’s unclear if it can survive as an independent company or will get acquired in the consolidation that we have already witnessed in 2024.
Perplexity is Growing Quickly in South and South East Asia
Perplexity is seeing growth and momentum in not the countries you might have suspected including the Philippines, Indonesia, Japan and of course India. While the U.S. is its home market no doubt, the global increase we’re going to see in 2025 will be considerable.
While the US remains Perplexity’s largest market by absolute number, almost 80% of its traffic comes outside the US.
Google is more Innovative in Search than Ever
The arrival of ChatGPT has made Google a bit more innovation centric. A fairly good example of this is Gemini pointing at Google Maps in Ask Maps feature. This feature allows users to ask natural language questions about specific places directly within the Google Maps interface.
That’s right so Generative AI is enabling us to have more spatial intelligence within the Google Maps app. Google AI has a number of integrations in Search and search journeys that are profound and not fully understood yet that go way beyond just Search Generative Experiences (SGE). Google’s Q3 Earnings and Waymo being worth $40 Billion are evidence of decent momentum for Alphabet after a slow start to the Generative AI era.
Now if only I could get Audio Overview quality summaries of places at a click of a button. Spatial intelligence isn’t just about 3D Models of the Metaverse or gaming, but how AI helps us navigate the real world. This is a big deal that a lot of folk aren’t taking seriously.
In many ways what Perplexity and Google are doing are way more impactful than ChatGPT announcing a “search” feature within their growing chatbot that promises ridiculous PhD level augmentation. But time will tell and the market really does decide. ChatGPT has a lot of momentum, but can it translates into the many prototypes and spin-off products OpenAI is doing?
The world is moving fast. Faster it seems since the Generative AI began in mid to late 2022.
Other Generative AI Tools in Search to Check Out
But there are still other Gen AI search tools worth checking out. In terms of AI tools, these are the ones that you should really check out in addition to Perplexity:
Liner: Liner AI is a versatile tool that has gained popularity for its dual functionalities as both an AI-powered search engine and a no-code machine learning platform.
Genspark: This is a RAG summarizing tool with AI agent capabilities based on a innovative AI-powered search engine designed to enhance how users access information online.
You dot com: You.com is an AI-powered search engine that has evolved significantly since its launch in November 2021.
Komo: Komo AI is an innovative search engine that leverages generative AI technologies to enhance the way users interact with information online. It offers a unique, ad-free, and private search experience.
Of the above I likely use Genspark the most. Depending on the kind of query or research you are doing, over time you learn to use the tool that you trust the most for the right task or workflow. Two years after ChatGPT went live, search experiences online are therefore bifurcating just as social media has been doing as well.
Meta is Building Its Own Search Engine
Meta is building its own backbone of a search Engine for its 3 Billion users. This is actually the biggest threat to Google Search Ad dominance we’ve seen in a long time. The scale is also the issue here: Mea Platforms has 3.29 billion daily active people for the third quarter of 2024, and while Amazon grew their Ads business 19% in the latest earnings, Meta’s third-quarter advertising revenue came in at $39.9 billion, which was up 19% compared with the year prior.
The Alphabet-Meta duopoly is extremely powerful and more so with each dollar of capex spend in AI. To understand the future, you need to understand advertising growth in the era of Generative AI.
Graph shoring digital advertising revenue growth of Google, YouTube, Meta, Microsoft and Amazon.
Hyperscale utilization of Generative AI in their products is accelerating their bottom lines justifying any amount of capex they want to spend in 2025 in my opinion. The past week of earnings saw this in the Cloud and Ads growth. These are gigantic pillars of the Silicon Valley internet now.
The evolution of Search two years later, is related to all of these trends. OpenAI’s CEO has said he does not feel aligned with the Ads model, but when they go IPO they will certainly be talking about it just like Netflix and Amazon eventually gave into the temptation. Digital Ads are just too efficient at driving revenue to ignore in your product for long. But they are still early days for the ramp of the ChatGPT flagship product.
Meta Search > Bing
Meta’s capex is therefore potentially a very big deal not for the Metaverse but for the future of Search Advertising. Meta is actively developing an AI-powered search engine aimed at reducing its reliance on Google and Microsoft’s Bing. This initiative is part of a broader strategy to enhance its AI capabilities and provide users with conversational answers about current events through its Meta AI chatbot, which is integrated into platforms like Facebook and Instagram.
Ad spending in the Search Advertising market worldwide is forecasted to reach US$316.30bn by the end of 2024. Ultimately I believe Amazon and Apple need to go after search as well, if Google shows any weakness. More companies like Meta and Perplexity are entering into the sorts of deals OpenAI pioneered for the next era of Search.
I don’t see how Microsoft’s Bing can fair very well in such a competitive ecosystem. Microsoft’s Copilot era has been totally overshadowed by OpenAI’s ChatGPT success. OpenAI integrating a Search functionality into ChatGPT, signals a new era of search and likely search advertising competition has begun.
Bing’s overall search engine market share is approximately 7.85% in the U.S. In the context of global search engine market shares, Bing holds about 3.42% worldwide as of early 2024. A lot of Perplexity’s growth in 2025 will actually be international. If Meta’s 3.3 Billion users begin to use their own Search crawler, what can it evolve into? Meta’s incentives to execute in Search and Search Ads as a product will be extremely high as advertising is their one and only major revenue driver.
It’s when you realize how much Google, OpenAI and Meta are doing with Generative AI products that you see how poorly Microsoft, Amazon and Apple (to a lesser extent) have been performing. Meanwhile Google Cloud is also growing faster than Microsoft Azure. Generative AI products and mostly its integration into existing products is where Google is really shining with its own sparks of AGI vibes in late 2024.
OpenAI’s SearchGPT was originally released to 10,000 test users as a prototype called SearchGPT in July, 2024 OpenAI have been essentially aggressively trying to poach Google employees for its own search team. That they released it just three months later is fairly impressive though it’s more of a feature than a platform or a distinct product. This means two years later, OpenAI is still riding the momentum wave of its own virality of ChatGPT.
Midjourney launches AI image editor
About a week ago the incredible bootstrapped Midjourney text-to-image tool released an editor. Run by former Magic Leap engineer David Holz, it’s worth checking out if you use text-to-image tech and want to test out what an AI editor might feel like.
Time’s Best Innovation of 2024
Time’s 200 Best innovation of 2024 is also perhaps worth check out. There are some AI related products mentioned there. Meanwhile I’m not sure Tycoon owned legacy media has a future and Mark Benioff the CEO of Salesforce reportedly wants to sell Times.
Mistral Le Chat gains Traffic
In the most recent period French AI startup Mistral’s Le Chat chatbot has gained some momentum.
Why is Perplexity growing so Slowly?
According to the FlexOS Report, Similarweb shows that Perplexity’s traffic distribution is driven almost entirely by direct visits (67.92%) and branded organic searches (93% of 29.68%), with virtually no traffic coming from ads, paid search, or referrals. They want to raise another $500 million soon at an $8 Billion valuation, but realistically they need to raise a lot more than that in 2025 to get things really going.
xAI is on Pace for another Massive Funding Round
Elon Musk’s xAI in Funding Talks That Could Value Company at $40 Billion. The financing efforts follow that of rival OpenAI, which recently closed a funding round that valued it at $157 billion. There is some likelihood that xAI can get Nvidia’s participation but they invested in OpenAI’s latest round so it’s not clear.
Both xAI and Meta have AI infrastructure in place that’s possibly even superior to what OpenAI has access to. Meta is touting Meta AI’s adoption but xAI is more of a pure-play frontier model AI play. In terms of funding prowess it’s looking like xAI will be more aggressive as compared to Anthropic with ramping it up. Which could have implications on the race to future AI models.
XAI somehow has a valuation of valuation was $24 billion going to up to a reported (WSJ) $40 billion without much of a product to speak of. Musk explained during a virtual appearance at the the Future Investment Initiative conference (5 days ago) in Riyadh that his aim was to double xAI’s access to compute — the coveted resource that fuels AI. Musk has said that xAI’s facility in Memphis is already the largest such data center. It’s not clear how xAI will compete with Google, OpenAI and Anthropic exactly, though they certainly might have the capability of doing so.
Elon Musk has a reputation of bulldozing innovation like he did with SpaceX and Tesla, but it’s not clear if he can do the same with Generative AI and xAI. In both of those cases he had a significant first-mover advantage as a pioneer, that distinction goes to OpenAI which he helped co-found. Elon Musk and Sam Altman founded OpenAI together, but now trade barbs.
Trending AI Tools
According to FlexOS’s report, a few AI tools are really seeing some good momentum. Let’s list some of them here:
Gamma – (Presentations) Gamma AI is an innovative software platform designed to streamline the creation of presentations, documents, and web pages using artificial intelligence. It allows users to generate polished content quickly from simple prompts or by uploading existing files.
Blackbox – (Coding) Blackbox AI is an innovative coding platform designed to assist developers by leveraging artificial intelligence for various coding tasks.
Runway AI – (Synthetic Video) Runway AI, also known as RunwayML, is a generative artificial intelligence platform that specializes in creating multimedia content, including videos, images, and audio. It’s a leader in text-to-video capabilities.
QuillBot – (Writing paraphrasing) QuillBot is an AI-powered writing tool designed to enhance the quality of your writing. It offers a suite of features including paraphrasing, grammar checking, tone analysis, and fluency improvement.
Graph of trending AI tools and their September 2024 traffic as shown by FlexOS.
These may or may not be category leaders but they have a lot of momentum according to traffic patterns. ElevenLabs not too long ago released an audio reading app. So everything from presentations, to meetings, to editing writing to more complex coding and text-to-video integrations in work tasks are now being powered by Generative AI and of course our search and research capabilities have been extended in the past two years to an unreasonable degree.
When I reviewed the capex patterns of BigTech which look like $200 Billion in 2024 and at least a 40-60% increase in 2025, the results are astounding. Generative AI is a hype bubble and a legit technology for some companies all at the same time. The Search experience and consumer behavior is changing due to ChatGPT and the resulting ripple effects in the ecosystem. Five years later, say by 2027 we’ll have a fundamentally transformed internet.
While I’m bullish on Anthropic’s Claude and Perplexity, they might not have the scale required to actually compete and survive against the Google and OpenAI’s of this world. Mistral, Cohere and others are on even shakier ground. Nothing is assured except that BigTech is consolidating and pushing the tech in a direction that is self-serving. That’s more about producing shareholder value than utility to actual consumers.
Category winners of the first phase of Generative AI’s era will consolidate further in 2025 and the big picture will become more clear. What emerges from the B2C consumer side is that what AI tools trend and fall is changing constantly and few of these tools will reach a critical stage of mass adoption that would enable them to be sustainable companies. Even OpenAI’s revenues should grow rapidly but likely not at the rate they have projected for their prospective investors.
Apple and Amazon are going to take capex in AI much more seriously in 2025 as they cannot afford to be left behind. They are late to the party but will likely bring bigger contributions for it. I’ll be watching closely the latest AI tools and Anthropic and xAI’s next funding rounds because they will indicate the competition OpenAI is likely going to face not just from the likes of Google.
Generative AI is a bit of a bipolar technology that both illustrates how dire monopoly capitalism has become and yet how AI has so much potential in terms of it enabling decent long-term narratives and positive net outcomes for the majority of civilization. This contrast colors my work and analysis on so many levels.
If you know someone who might enjoy these AI tools, feel free to share the post with them.
If you have some spare time why not fiddle with some of these AI Tools and see if they could be of any value to you professionally, personally or otherwise.
Other Popular or Trending AI Tools to Check Out
NotebookLM – (research assistant and summarization tool) NotebookLM is an AI-powered note-taking and research assistant developed by Google Labs, launched in July 2023. It is designed to help users synthesize complex information from various sources, including documents, videos, and books, by summarizing content, generating follow-up questions, and creating study guides. One of its standout features is the ability to digest up to 50 sources at once, making it a powerful tool for research and learning. Audio Overviews, synthetic podcasts based on resources, made the tool go viral in the Fall of 2024. Google Labs recently included custom instructions to these Audio Overviews.
Suno AI – (text to music) Suno AI, or simply Suno, is a generative artificial intelligence music creation program designed to generate realistic songs that combine vocals and instrumentation based on user-provided text prompts.
Poe by Quora – (chatbot interface) Poe AI is a versatile platform designed to facilitate interactions with various AI chatbots, allowing users to ask questions, receive instant answers, and engage in back-and-forth conversations.
ElevenLabs – (text-to-speech and Audio AI) ElevenLabs is a software company founded in 2022 that specializes in artificial intelligence-driven text-to-speech (TTS) technology and voice generation, including voice cloning. It’s a leading AI audio platform now.
Ideogram – (text-to-image) Ideogram AI is a generative AI image generator that transforms user-provided text prompts into images, catering to various artistic styles and applications. It is designed for artists, designers, marketers, and content creators who need to produce high-quality visuals quickly and efficiently. It’s improved to the point it’s worth mentioning.
FigJam by Figma – (team collaboration & productivity) FigJam is a digital whiteboard tool developed by Figma designed to facilitate collaboration and brainstorming among teams. It allows users to create a virtual workspace where they can ideate, sketch, and organize thoughts in real-time.
Luma AI Dream Machine – Luma AI’s Dream Machine is an advanced AI video generator launched on June 12, 2024, by the San Francisco-based startup Luma AI. This tool is designed to create high-quality, realistic videos quickly from both text and images. It utilizes a scalable transformer model that has been trained directly on video data, enabling it to produce physically accurate and consistent shots with dynamic motion.
ChatPDF – ChatPDF is an innovative AI-powered tool designed to facilitate natural language interactions with PDF documents. Users can upload a PDF file and engage in a conversational manner, asking questions and receiving answers based on the content of the document. This tool leverages advanced natural language processing (NLP) and machine learning techniques to understand and extract relevant information from PDFs, making it particularly useful for students, researchers, and professionals who need to quickly comprehend complex materials.
Otter.AI – (Meeting Notes) Otter.ai is an advanced transcription software that utilizes artificial intelligence to convert spoken language into written text. Founded in 2016, the company originally operated under the name AISense and has since evolved into a leading tool for recording and transcribing meetings, lectures, and conversations. It’s a likely category winner.
OpusClip – OpusClip AI is an advanced video repurposing tool designed to transform long videos into engaging, short clips suitable for platforms like TikTok, YouTube Shorts, and Instagram Reels. This tool leverages sophisticated AI technology to analyze video content and identify the most compelling segments for viral potential. For specific personal brand development, curated video can be useful.
NoteGPT – NoteGPT is an innovative AI-powered tool designed to enhance learning efficiency by providing quick summaries and notes from various content types, including YouTube videos, PDFs, articles, and more. It aims to save users time and improve their understanding of complex materials through its advanced summarization capabilities. A lot of interesting AI tools are actually targeted for students.
HeyGen – (AI Avatars) HeyGen is an innovative AI-powered video generation platform that allows users to create high-quality videos using AI-generated avatars and voices. It streamlines the video creation process, making it accessible for both professionals and beginners. This includes AI Avatars, voice generation an so forth. It was formerly a Chinese AI startup known as Surreal.
Looka – (Visual branding and logo) Looka AI is an advanced logo design and brand identity tool that leverages artificial intelligence to assist users in creating professional logos and comprehensive branding materials quickly and affordably. It is particularly beneficial for entrepreneurs, small business owners, and freelancers who may not have extensive design skills or budgets for hiring professional designers.
Typeset AI – Typeset AI is a generative design engine that leverages artificial intelligence to streamline the creation of visual content, such as presentations, social media posts, eBooks, and marketing materials. Launched on September 15, 2023, Typeset aims to simplify the design process by allowing users to input text and automatically generate visually appealing layouts without requiring extensive design skills.
Consensus AI – (Academic Search) Consensus AI is an advanced search engine designed specifically for scientific research. It utilizes artificial intelligence to streamline the process of finding and analyzing academic papers, providing users with evidence-based answers quickly and efficiently.
There are a lot of trending AI related tools to explore in the research of FlexOS. Who have various blog articles on productivity tools and so forth.
Digging into OpenAI
Sam Altman had recent AMA on Reddit which stands for ask me anything. Some of the PR talking points where kind of bizarre like:
Using ChatGPT as a therapist
Expect ChatGPT to message you first in 2025 (i.e. taking actions on its own in a personalized way)
ChatGPT Search could mess with the Internet’s SEO
Hallucinations will always be a tough problem
Altman said the company has “some very good releases coming later this year,” though nothing “we are going to call GPT-5.”
Others participating on the AMA were Kevin Weil, Chief Product Officer, Mark Chen, SVP of Research and Srinivas Narayanan, VP Engineering.
What is DevRev?
The Generative AI funding round of the week for me has to go to DevRev which is just a fascinating AI startup. Their AgentOS platform, which is rapidly advancing GenAI adoption in enterprises is all about agents and knowledge graphs. They had just a massive Series A in September.
They consider themselves an AI-native platform that unifies customer support and product development. They feel very 2025-ish. They leverage knowledge graphs and enable Contextual Intelligence for AI Agents and employees.
ChatGPT Search
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