This handy macOS 15 2 feature puts Apple Intelligence to shame

I tried Apple Intelligence on my Mac it could change the way you use macOS

Systems integrators make billions of dollars configuring Salesforce to meet your needs. With nothing but access to your email and calendar and answers to a one-page questionnaire, Day automatically generates a CRM that is perfectly tailored to your business. It doesn’t have all the bells and whistles (yet), but the magic of an auto-generated CRM that remains fresh with zero human input is already causing people to switch. With Generative AI’s budding reasoning capabilities, a new class of agentic applications is starting to emerge.

Yet despite the proliferation of sales tools, account executives at leading companies still spend countless hours manually gathering intelligence, tracking customer signals, and managing workflows across disconnected systems. That’s why we’re excited to announce our partnership with Rox, leading their seed round with participation from GV and General Catalyst and now joining this new Series A, to bring the power of AI agents to enterprise sales teams. 2023 was a strong year for infrastructure overall, and includes some formidable new entrants like Mistral, a major contender in foundation models. In the cloud data platform category, Pinecone and Weaviate demonstrated the importance of vector databases. Meanwhile, Databricks, through its acquisition of MosaicML last year, has also moved to join Anyscale, Baseten, Replicate and Together in the inference provider category. And LangChain has established itself in a category of its own as an all-purpose application development framework for working with LLMs.

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Some features are incomplete or unavailable at all, and the AI suite is actually delayed entirely. Being that Apple Intelligence is bundled with macOS 15.1, it will not launch with the regular public builds of iOS 18, iPadOS 18, and macOS Sequoia. As such, the Apple Intelligence beta is limited at the moment, lacking features like Generative Playground, Genmoji, and ChatGPT integration. There are a few cool tools available now, and I tried five of the biggest ones. “Decart’s journey has been unconventional from the outset—and we are executing a game-changing platform that maximizes AI training efficiency for organizations,” said Dean Leitersdorf, Co-Founder and CEO of Decart.

• Intel’s Core Ultra (Series 2) processors power the AI features of the Galaxy Book 5 Pro and Galaxy Book 5 360.
• They live inside the right-click menu and are available when you select a piece of text on any app.
• For decades, software has provided the lever to move the world—now AI that can create software is levering that lever.
• More importantly, Apple will soon allow you to link the ChatGPT app with your Mac’s onboard AI functions.
• Predictable software-as-a-service businesses are out; big, bold bets on the future are in.
• While simultaneously serving in the IDF’s elite Unit 8200, he earned his Ph.D. from Technion, Israel’s most prestigious technical university, at just 23 years old.

Companies like Nvidia deserve enormous credit for the role they’ve played in enabling this transition, and are likely to play a critical role in the ecosystem for a long time to come. It can do all this while also acting as a chatbot or preserving other user-facing AI capabilities. Instead of losing a major client and having to change their entire product and technology, they were approached with a new opportunity. At the time, Expedia’s AI models were predictive, or discriminative in nature. They would show a consumer the cost of a hotel or flight, and the prediction of whether or not they would purchase the room or the ticket was AI driven. Robust’s firewall needed to analyze the accuracy of Expedia’s AI’s predictions, while also testing it for vulnerabilities.

Leading in the Intelligence Age

~20 application layer companies with $1Bn+ in revenue were created during the cloud transition, another ~20 were created during the mobile transition, and we suspect the same will be true here. Of course, these updates represent only the first set of Apple Intelligence powered tools. The second wave, including Apple’s image-focused features, is already rolling out in developer betas, and are likely to arrive as public betas in the not too distant future. It’s probably fair to say that the features get more ambitious as they go; Apple was slow to ramp up its generative AI efforts, and this first set is more about table stakes than anything truly transformative. The Proofread feature is meant to offer a set of intuitive corrections that go beyond a standard spelling or grammar checker (both of which are already offered by Apple’s built-in text system). It’s sort of an inbuilt version of something like Grammarly Pro, which costs $144 a year.

• The way you plan and prosecute actions to reach your goals as a software engineer is vastly different from how you would work as a scientist, and moreover it’s different as a scientist at different companies.
• Artificial intelligence (AI) has taken the markets by storm, catapulting several AI-related stocks to all-time highs.
• In Silicon Valley, the frenzy of 2023 was productive in attracting talent to AI.
• The medical coding market in the U.S. is worth around $21B, comprising about 35K medical coders.

It can free up more people to tackle more problems to create a better society. Technological progress this century has radically driven down the cost of hardware, but the costs of services delivered by humans, from healthcare to education, have skyrocketed. AI has the potential to reduce costs in such crucial areas making them more accessible and affordable.

Sequoia investing into DecaartAI for engineless game creation

For example, the first PC, the Kenback 1, was introduced in 1971 and it was not until 1979 that Visicalc — the first electronic spreadsheet — hit the market and gave many more people a compelling reason to buy a PC. While some of these companies report how much capital they are investing in AI hardware and other assets, they do not quantify their AI revenue in dollar terms. It could be a long time before their AI revenue is high enough to report as a distinct line item. The AI companies making the investment include “AWS, Google, Meta, Microsoft, and many others” that spent money on AI hardware for applications such as OpenAI’s ChatGPT, noted Tom’s Hardware. In light of the $2 trillion in market capitalization these five technology giants have added in the last year, investors are projecting the companies will add between $300 billion and $400 billion to their top lines, The Economist reported. Meanwhile, teams are also increasingly shifting to compound AI systems, which combine multiple model calls, retrievers or external tools, offer better performance, reliability and control, versus relying on a single model.

AI in 2025: Building Blocks Firmly in Place – Sequoia Capital

AI in 2025: Building Blocks Firmly in Place.

Posted: Mon, 09 Dec 2024 08:00:00 GMT [source]

We all lived through the crypto buildout where tons of money was dumped into new blockchains and infrastructure before anyone realized they couldn’t come up with applications that justified all the Web3 excitement. Apple Intelligence won’t revolutionize how you operate your Mac yet, but I can see how it could refine your experience one update at a time. It’s similar to the advancements tech companies have made over the years with the help of much less glamorous machine learning technologies.

The Messy Real World: Custom Cognitive Architectures

From iOS 18.2 it will also have ChatGPT integration but only the specific prompt is sent to ChatGPT, not your personal data. Similar to Microsoft Copilot in Windows, Apple’s interpretation of AI is able to perform tasks within the operation system, as well as generate text or images inside any app on your phone, tablet or laptop. Where they stand out is that they have access to your personal information, calendar, Mail and other data stored on your various Apple devices.

Ishan, Chris, Avanika, Diogo, Shriram and their team are combining GTM and AI expertise to build a single source of truth for enterprise sales. We have rapidly scaled from 1% to 19% on SWE-bench, a benchmark that under-states AIs’ actual performance on properly scoped coding tasks. And there are a plethora of highly capable teams attacking this problem from multiple angles.

When I’m stuck figuring out how to perform a certain Mac function, I no longer have to head to Google; I can just double-press the command button and ask Siri. In subsequent updates, your Mac’s Siri will be more aware of your personal context and able to easily look up local files and data shared with you on compatible messaging apps. On the Apple Mail app, there’s now a nifty “Summarize” button on top of each email that produces a mini synopsis of its content. Like on AI email services such as Shortwave, there’s no redo button, and clicking the thumbs-down icon next to a summary simply lets you send your feedback to Apple, not regenerate it. While Writing Tools works on its own in a snap, I would expect it over time to be better integrated into at least Apple’s native apps. I could, of course, select an online article’s entire text, and go through a multi-step dropdown to summarize it, but it would simply make more sense to have a quick “Summarize” button on Safari, like you do on Microsoft Edge.

Sequoia upped its wager on SpaceX again in February 2021 at a $74 billion valuation. Now SpaceX is reportedly considering a tender offer that pegs the company’s worth at $200 billion. Apple Intelligence is available for free in iOS 18.1, iPadOS 18.1 and macOS Sequoia. Not all features are available, initially, it is just Writing Tools and some Photos updates, but the rest of the features will come with iOS 18.2 and so on later in the year.

He was proud when he finally got the physics of the bouncing ball to work properly, and soon started building games of his own. The reason the Mac can get Apple Intelligence probably concerns the big Digital Markets Act (DMA) legislation that forced Apple to change the iOS and iPadOS experiences for EU users, but not the macOS one. It’s because of the DMA that Apple had to allow third-party App Store alternatives on iPhone and iPad, but not Mac. And it’s probably the DMA’s stringent regulations that prevent Apple from rolling out Apple Intelligence to the iPhone and iPad as fast as the US.

The promise is that Apple’s algorithms are analyzing messages to let you know when there’s something important you need to see; it then moves it into a special highlighted section at the top of your inbox so you can’t miss it. Unfortunately, the analysis has been less than great; most days I don’t even see a priority message in my inbox (which I guess means maybe my mail isn’t important enough?). The messages it has shown me have included an emailed verification code for a login.

The New Language Model Stack

Cahn assumes that Alphabet Inc, Microsoft Corp, Apple Inc, Meta Platforms Inc, Oracle Corp, ByteDance, Alibaba Group, Tencent Holdings, X and Tesla Inc will generate a combined $100 billion from new AI-related revenue each year. And a new report from Sequoia Capital cast doubt on whether firms will ever be able to recoup hardware costs. Simply put, companies will fall short of investors’ expectations unless the billions they are investing in AI hardware result in significantly higher revenue growth rates.

Other features of Apple Intelligence, including writing tools such as the ability to rewrite your text in different styles, trickled out to customers starting in October. This website is using a security service to protect itself from online attacks. There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data. Second, the models have largely failed to make it into the application layer as breakout products, with the notable exception of ChatGPT. Great researchers don’t have the desire to understand the nitty gritty end-to-end workflows of every possible function in every possible vertical. It is both appealing and economically rational for them to stop at the API, and let the developer universe worry about the messiness of the real world.

In my view, this outcome will only happen if a killer app — as the electronic spreadsheet was for personal computers or the iTunes store was for the iPod — emerges for generative AI. If the payoff is defined as adding enough revenue to sustain expectations-beating growth that boosts the tech giants’ stock prices, this could happen in the next few years. Efficient engineering is required to transform a model’s raw capabilities into a compelling, reliable, end-to-end business solution. ChatGPT’s rise was the spark that lit the fuse, unleashing a density and fervor of innovation that we have not seen in years—perhaps since the early days of the internet. The breathless excitement was especially visceral in “Cerebral Valley,” where AI researchers reached rockstar status and hacker houses were filled to the brim each weekend with new autonomous agents and companionship chatbots. AI researchers transformed from the proverbial “hacker in the garage” to special forces units commanding billions of dollars of compute.

O’Donnell spent more than 10 years at HubSpot, initially turbocharging the company’s marketing automation solution, and was later tapped by the founder and former CEO Brian Halligan to build HubSpot’s customer relationship management tool. That CRM later became the product HubSpot is best known for, which eventually helped earn O’Donnell the title of chief product officer. In 2024, we will build from the substrate of Transformers, GPUs, RAG, Diffusers, open source and everything else that has been floating around the ecosystem in 2023. From these primitives, we will discover new ideas and new insights about how to build advanced AI systems. We will look back at 2024 and say, this is the year that we began to convert AI’s potential into real solutions.

Replicate would be a platform where machine learning researchers could host and share AI models, and where engineers of all backgrounds could use those models to build applications. Already, the customers Fireworks has signed reflect its stellar reputation. Following competitive bake-offs, enterprises (Uber, DoorDash, Upwork, Quora) and AI-native startups (Cursor, Superhuman, Sourcegraph Cody, Cresta) alike have chosen to build their stack around Fireworks. The platform is making it easier for these to achieve large model performance from small model cost and latency—and to build agentic workflows that utilize specific underlying models.

The arXiv printing press has become so prolific that researchers have jokingly called for a pause on new publications so they can catch up. Matan, Tomer and their team are helping AI dreams come true—by preventing security teams’ worst nightmares. One helpful way to frame the types of agents we see in the wild is a spectrum between simple, hard-coded agents and full-blown autonomous agents.

This is known as personal context and allows the AI to make more accurate recommendations and changes. Described as a form of “personal intelligence,” it “makes your most personal products more useful and delightful,” according to Tim Cook. One afternoon, sitting by a pool, Firshman watched as Jansson struggled to read a research paper about AI on his phone. The paper, only available as a PDF, wasn’t designed to be read on a smartphone, so Jansson had to zoom in on every sentence.

Today’s launch of Oasis, powered not by a gaming engine but by a single AI model trained on videos, marks a milestone in inference. Dean, Moshe, and their team are moving quickly, continuing to innovate on Decart’s infrastructure stack. Just as Google’s team did decades ago, we believe they can unlock even more efficiencies in the months ahead—and with those advances, usher in the next chapter of AI-generated experiences. The golden road to riches started with NVIDIA, which has accrued a staggering market value in a short period of time. A wholesale digital transformation is taking place in what I like to divide into three major stages.

This was a $350B opportunity.Thanks to agentic reasoning, the AI transition is service-as-a-software. That means the addressable market is not the software market, but the services market measured in the trillions of dollars. Mainstream enterprises can’t deal with black boxes, hallucinations and clumsy workflows. One hypothesis at the outset of the Generative AI market was that a single model company would become so powerful and all-encompassing that it would subsume all other applications. The foundation layer of the Generative AI market is stabilizing in an equilibrium with a key set of scaled players and alliances, including Microsoft/OpenAI, AWS/Anthropic, Meta and Google/DeepMind. Only scaled players with economic engines and access to vast sums of capital remain in play.

As Noam Brown pointed out on our latest episode of Training Data, thinking for longer about what the capital of Bhutan is doesn’t help—you either know it or you don’t.

Speculative frenzies are part of technology, and so they are not something to be afraid of. Those who remain level-headed through this moment have the chance to build extremely important companies. But we need to make sure not to believe in the delusion that has now spread from Silicon Valley to the rest of the country, and indeed the world. That delusion says that we’re all going to get rich quick, because AGI is coming tomorrow, and we all need to stockpile the only valuable resource, which is GPUs. “While leaderboards emphasize larger models, real-world AI results, especially in production, increasingly come from compound systems with multiple components,” said Qiao. Some stocks may have run ahead of the market and others may lag in real AI-driven value.

We can run our own servers and deliver this stuff over the internet too! EPD went from waterfalls and PRDs to agile development and AB testing. GTM went from top-down enterprise sales and steak dinners to bottoms-up PLG and product analytics. Business models went from high ASPs and maintenance streams to high NDRs and usage-based pricing. The Factory droid will break down all of the dependencies, propose the relevant code changes, add unit tests and pull in a human to review. Then after approval, run the changes across all of the files in a dev environment and merge the code if all the tests pass.

We now have shared techniques to make models useful, as well as emerging UI paradigms that will shape generative AI’s second act. Co-founders Matan Derman and Tomer Avni are the perfect team for the job. Matan graduated from Stanford GSB and the prestigious leadership training program of the Israeli Defense Forces, Talpiot, where alumni also include founders of Sequoia companies Wiz, Cyera, Oasis Security and Zafran. In order for AI software engineers to become the ideal compound lever, they first need to actually work. We’re still a ways off—but things are progressing at a very fast pace.

When he’s not writing about the most recent tech news for BGR, he closely follows the events in Marvel’s Cinematic Universe and other blockbuster franchises. I never considered the possibility of running Apple Intelligence only on the Mac. I spend most of my time on the Mac, so that’s where Apple Intelligence might help me the most once Apple is ready to release more features. There are also a smaller number of standalone Generative AI web apps, such as Jasper and Copy.ai for copywriting, Runway for video editing, and Mem for note taking.

But it might be an example of how game creation is changing due to AI, as the idea of an engine-less model might birth new terms as developers come to grips with the technology. In the meantime, this waterfall of AI spend that starts with power, thermals, design, silicon and manufacturing flows to systems including compute, storage and networking. Following that, it flows to OEMs/ODMs, and then to ISVs and consultants that support implementation. Google has published a table mapping available subscription plans to new pricing.

Instead of the rewriting abilities, I was more intrigued by Apple Intelligence’s ability to break down and summarize the text. Apart from prompting it to generate brief digests of a paragraph, for example, it can pick up and list down the key points and turn them into a list or a table. When I asked it to rewrite a laptop review’s conclusion into a tabular form, it created a column for a feature, and another for its verdict. “One of the most comfortable for typing,” for instance, was put in the “Keyboard” row.