#Grok AI LLM integrated in X

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Claude 3.7 Sonnet is Anthropic’s AI Resurgence

New Post has been published on https://thedigitalinsider.com/claude-3-7-sonnet-is-anthropics-ai-resurgence/

Claude 3.7 Sonnet is Anthropic’s AI Resurgence

Anthropic has released Claude 3.7 Sonnet, a highly-anticipated upgrade to its large language model (LLM) family. Billed as the company’s “most intelligent model to date” and the first hybrid reasoning AI on the market, Claude 3.7 Sonnet introduces some major enhancements over its predecessor (Claude 3.5 Sonnet) in speed, reasoning, and real-world task performance. 

The rollout comes amid fast advances from competitors like OpenAI and xAI’s recent Grok 3, leading many AI enthusiasts (including me) to view this launch as Anthropic’s answer to recent innovations. The new model aims to blend quick conversational answers with deeper analytical thinking in one system – a unified approach that could show us what future interaction with AI will look like. 

Long-Awaited Upgrade to a Beloved AI Assistant

For many regular AI users, Claude 3.5 Sonnet had already been a go-to tool. It was regarded as one of the best out there. However, in recent months Anthropic faced growing pressure. The AI industry has been going crazy with new features and models – OpenAI’s ChatGPT gained voice, multi-step reasoning abilities, and deep research. Grok 3 made its debut with real-time X data, and other platforms like Perplexity and Gemini kept the releases coming. Many observers started to note that Anthropic was starting to fall behind. The community had been eagerly awaiting Anthropic’s response, with expectations that a new Claude model was due any day.

Claude 3.7 Sonnet arrived at last to meet those expectations. It is a significant leap forward from Claude 3.5, rather than a minor tweak. Anthropic touts it as a comprehensive upgrade: faster, smarter, and more versatile.

The model’s speed and output quality are striking. In my own tests, I found it to be incredibly fast compared to the last version, processing lengthy text inputs almost instantaneously. Given Anthropic’s slow update cycle, the 3.7 release feels like a long-awaited catch-up that reclaims Claude’s position in the AI race. Claude 3.7 doubles down on what made users love Claude 3.5 – exceptional performance in practical tasks – while adding innovative reasoning capabilities under the hood.

Hybrid Reasoning: Quick Answers and Deep Thinking in One

The headline feature of Claude 3.7 Sonnet is its hybrid reasoning capability. In simple terms, this model can operate in two modes: a standard mode for near-instant responses, and a new “extended thinking” mode where it works through problems step-by-step, showing its chain-of-thought to the user.

Rather than releasing a separate Claude reasoning edition, Anthropic has merged both quick and deep thinking into one AI. “Just as humans use a single brain for both quick responses and deep reflection, we believe reasoning should be an integrated capability… rather than a separate model entirely,” the company explained in its announcement, emphasizing a unified approach for a seamless user experience.

In practice, this means users can decide when they want a fast answer and when to let Claude deliberate at length. A simple toggle lets you switch to extended mode if a question requires detailed analysis or multi-step logic. In standard mode, Claude 3.7 Sonnet functions like an improved version of 3.5 – faster and more refined, but with the familiar quick conversational style. In extended mode, the AI “self-reflects” before answering, writing out its reasoning process internally (and making it visible) to arrive at more accurate or complex solutions.

The chain-of-thought scrolls out step by step on screen, a feature that has become popular in other advanced AI systems and now finally comes to Claude.

Alex McFarland/Unite AI

Anthropic’s philosophy here deliberately contrasts with some competitors. OpenAI, for instance, has offered separate models or modes, which some find confusing to juggle. Claude 3.7’s all-in-one approach is meant to simplify things for users. Switching between modes is straightforward, and prompt style remains the same. Power users can even fine-tune how much the AI thinks: through the API, developers can set a token budget for reasoning, telling Claude how long to ponder (from just a few steps up to a massive 128k-token thought process) before finalizing an answer. This granular control lets one trade off speed for thoroughness on demand.

Key Improvements in Claude 3.7 Sonnet:

Here are some of the main improvements that we see from Claude 3.7 Sonnet:

Hybrid Reasoning Modes – Offers both instant answers and an Extended Thinking mode where the AI works through problems stepwise with visible reasoning. Users choose the mode per query, unifying fast chat and deep analysis in one system.

Unified Model Philosophy – Integrates quick and reflective thinking in a single AI “brain” for ease of use. This contrasts with rivals requiring multiple models or plugins, reducing complexity for the end-user.

Speed and Responsiveness – Delivers answers faster than Claude 3.5. Early tests show noticeably snappier performance in standard mode.

Expanded Thinking Control – Through the API, users can limit or extend the AI’s reasoning length (up to 128,000 tokens) to balance speed vs. quality as needed. This ensures extended mode is used only as much as necessary.

Real-World Task Focus – According to the company, Claude 3.7’s training was shifted toward practical business and creative tasks rather than tricky math Olympiad puzzles. The model excels at everyday problem-solving and tasks that reflect common use cases.

Coding and Tool Use – Stronger performance in programming tasks, especially front-end web development. Anthropic even launched a companion tool, Claude Code, which allows developers to use Claude from the command line for writing and fixing code. Early benchmarks show Claude 3.7 topping charts in solving real software issues.

Limitations and What’s Next for AI Users

Despite all the excitement, Claude 3.7 Sonnet is not without limits, and it is not a magic bullet for all AI challenges. For one, Anthropic consciously de-emphasized certain domains in training this model. They “optimized somewhat less for math and computer science competition problems” in favor of more everyday business tasks. This means that while Claude 3.7 can certainly solve math and coding questions (often better than 3.5 could), it might not top the leaderboard on every academic benchmark or puzzle. Users whose needs skew toward complex math proofs or specialized coding contests might still find areas where Claude’s answers require double-checking or where a competitor’s model tuned for that niche does better. Anthropic seems to have accepted this trade-off, aiming the model at practical utility over theoretical prowess.

Additionally, Extended Thinking mode, while powerful, introduces some complexity. It is inherently slower than the standard mode; when the AI is in deep thought, users will notice a brief pause as it works through its reasoning. This is expected – trading speed for thoroughness – but it means users must decide when they actually need that extra power. In many everyday chat queries, the standard mode will suffice and be more efficient. There is also the fact that extended reasoning can sometimes overdo it and provide a lot more than you actually need. In some cases, this could overwhelm or veer off track. Anthropic will need to ensure that the AI’s willingness to “go big” with ideas remains relevant and on-topic. Users may learn to prompt more precisely or set token limits to curb runaway tangents.

In terms of knowledge and modalities, Claude 3.7 remains primarily a text-based model. Unlike ChatGPT’s vision features or other models incorporating image or voice inputs, Claude does not yet natively “see” images or speak aloud. Its strength is in textual understanding and generation. For most, this is not necessarily a downside – but those hoping for a Claude that can analyze a photo or handle voice commands will have to wait for future iterations. Anthropic has not announced any multimodal functionality in Sonnet at this time. The focus has clearly been on refining the core language abilities and reasoning process.

The Bottom Line

Claude 3.7 Sonnet’s release is a statement that Anthropic is very much in the game alongside OpenAI, Google/DeepMind, and new players like xAI. For AI enthusiasts and developers, it adds another top-tier model to experiment with, one that offers a unique twist with its hybrid reasoning.

In the competitive AI industry, Anthropic’s latest move may also influence how companies position their models. By choosing not to do a massive model size jump or a glitzy multi-modal demo, but instead refining the user experience (unification of modes, speed, practical use cases), Anthropic is carving a niche focused on usability and reliability. 

Overall, Claude 3.7 Sonnet is a pivotal moment for Anthropic. It is an evolution of the Claude series that shows the company learning from the community’s needs – doubling down on strengths while addressing weaknesses. There are still areas to watch (and future Claude iterations to anticipate), but this release has clearly re-energized Anthropic’s user base. 

[fahrni]

Saturday Morning Coffee

Good morning from Charlottesville, Virginia! ☕️

It’s been pouring overnight and into this morning. We have a flood watch in effect until 10AM. I bet it extends.

I finally got the opportunity to do a little async/await Swift this week. Using a combination of generics, Decodable, and async/await makes for an extremely powerful network client. It’s pretty shocking how simple it was to combine those three items to form a set of methods that return fully decoded models with so few lines of code and zero blocks/closures/whatever you call them in your favorite language.

I’m sure some folks will laugh and say “We’ve had that for X years in language Y!” I get it. It’s fairly new to Swift and I’m finally getting to work with it properly.

I’ve also been dabbling with SwiftUI and find some of the concepts weird, but as with all moves to new frameworks or languages, I’ll pick it up and it’ll feel natural at some point.

It’s past time to get my first cup of coffee. I hope you enjoy the links.

Kyle Barr • Gizmodo

Everything Announced at Google I/O: Gemini Takes Over

The week was Google’s Developer Conference. I’m not too much into Google or Android for that matter and while I know LLM’s are here to stay I’m not deep minded enough to find them exciting. Super smart developers find it exciting because they’re challenging in a way they grok and Management find them exciting because they’re a way to do more with fewer people and charge you a ton of money for it. 🤣

Hey, I just want to back away on my little iOS and Mac Apps and build something I love that I hope others will too. I’m sure someday I’ll have to integrate an LLM into an app. 🤖

Raymond Chen • The Old New Thing

In other words, take the existing component and run it before making any changes to it at all. Does it work?

I’ve said it before so I’ll say it again: Raymond Chen is a gift to computing and Microsoft is fortunate to have him.

He’s done so much for Microsoft and the tools we use everyday so when he shares his pearls of wisdom, I listen.

Baldur Bjarnason

React, Electron, and LLMs have a common purpose: the labour arbitrage theory of dev tool popularity

This was a very interesting read and I found myself nodding in agreement a lot but I also disagreed with things.

Something that does bother me about the move to more abstract tooling is the loss of expertise about the platform and knowing the platform provided tools will be the best for solving problems and creating the best possible apps I’m capable of.

Of course you can still make a crummy app with native tools and a brilliant app with tools like React Native.

When I was a Windows developer I could always tell when an application was written in Classic Visual Basic because of how the windows drew. It was a dead giveaway. That always bothered me. Nothing against Classic Visual Basic, it was a native development tool, and you could be extremely productive with it. Just like modern web tooling being used everywhere.

Chris Kirkham • Reuters

The meeting could not have gone worse. Musk, the employees said, was not pleased with Tinucci’s presentation and wanted more layoffs. When she balked, saying deeper cuts would undermine charging-business fundamentals, he responded by firing her and her entire 500-member team.

Musk isn’t a genius. He’s a bully who wins by being an asshole to folks until he gets his way. During the entire charging team over a plan he didn’t agree with is a prime example of how big a baby man he really is.

Why Tesla keeps him around is beyond me. Jettison the man so he can go work on X so you can continue to lead in the EV space. Who needs a network of cars being used for their compute so some dude and do AI stuff with it? What?

How about getting Tesla to do more good for the world by building trucks for hauling large loads across country or building all electric high speed rail systems and busses. You know, mass transport.

Musk talks about a desire to save mankind but he’s only paying lip service to it as far as I can tell. He is obviously obsessed with making crap tons of money and getting his way at the expense of others.

Joseph Savona, Ricky Hanlon, Andrew Clark, Matt Carroll, and Dan Abramov • react.dev

React Compiler is no longer a research project: the compiler now powers instagram.com in production, and we are working to ship the compiler across additional surfaces at Meta and to prepare the first open source release.

I need to go read more about this React Compiler or at the very least get the lowdown from a friend. I wonder if this will come to the React Native world and if it does what would that look like? Would we get everything compiled down to Web Assembly we push through a mobile device JavaScript runtime?

Web stuff is such a hodge-podge of stuff. It’s like the duct tape and baling wire of development.

I consider myself a duct tape a baling wire developer, so that’s not an insult to me. 😃

Robert Reich

America’s second civil war? It’s already begun

I try to stay away from links to Substack articles but I thought this River Reich article was important enough to break my rule.

If the Orange Menace gets back in office I’d fully expect us to see skirmishes break out all over the country at times due to his draconian policies.

Full on war would only break out if things get bad enough the people finally stand up and say enough is enough.

I hope beyond hope we can keep Joe Biden in the White House for four more years and TFG goes away, either to jail, Russia, or succumbs to a natural end.

Having said that we’re going to be fighting against authoritarian MAGA’s for years and years to come. Here’s hoping the GOP comes to its senses and stops this horseshit.

Federico Viticci • MacStories

Still, as I was thinking about my usage of the iPad and why I enjoy using the device so much despite its limitations, I realized that I have never actually written about all of those “limitations” in a single, comprehensive article.

Nice piece that goes into the things Federico finds lacking on iPad. My knee jerk reaction is to think “just move back to a Mac” but folks should do what they want and complaining about the state of things is the only real power they have to hopefully influence Apple to make changes.

I’m still a big fan of Federico’s FrankenMac or MonsterPad, whatever you’d like to call it, it’s extremely cool so of course Apple will never do it. It would poach sales from Mac and iPad and they certainly want you to purchase both, separately. 🧌

David Zipper • Fast Company

Last week, General Motors announced that it would end production of the Chevrolet Malibu, which the company first introduced in 1964. Although not exactly a head turner (the Malibu was “so uncool, it was cool,” declared the New York Times), the sedan has become an American fixture, even an icon, appearing in classic films like Say Anything and Pulp Fiction. Over the past 60 years, GM produced some 10 million of them.

This is really weird to see from American car companies. Why abandon the sedan? Well it’s because American’s are ridiculous. We want the biggest darned cars we could possibly fit on the road.

For me personally I’d really love to have a $10k or less, limited range, EV. It could be small, that’s fine. It would be for running errands and commuting into town, not that I have a commute any longer but if I did I’d like a super economical EV.

Something like this. Would I prefer to buy a ‘Murican version of one, heck yeah! Will a ‘Murican company build one, heck no! 😄

JanerationX

The recent news that the NFL is in negotiations with Netflix (!!!) for the two Christmas Day games this year really made my blood boil. I mean, I shouldn’t be surprised. The league has been slowly chipping away at fans’ goodwill for years. But the fact that Netflix (!!!) is involved makes it extra offensive.

Professional sporting is just as greedy as any other business. They’re there to make money, not just break even, they want to make crap tons of money. This is how they do it. They make deals with the highest bidder. If that means selling the rights to some special games at jacked up rates, it’s what they’re gonna do.

Fans be damned.

The Eclectic Light Company

The only clue given by Apple comes in a single word buried in the sentence “Share code between apps on multiple platforms with views and controls that adapt to their context and presentation.” The key word there is adapt. SwiftUI is a forceful move in delivering an adaptive human interface, one that adapts to the user, the task, the data, and the platform.

Really nice piece on using SwiftUI and how it’s built to adapt to each device, at least that’s the idea.

I also like that it points out there’s nothing wrong with UIKit and AppKit.

Heck, one of the most beautiful, high quality, iOS apps made today is Ivory from Tapbots and last I heard it’s still written in Objective-C on UIKit and AppKit. No need to throw out perfectly good code in favor of an expensive rewrite for the sake of the new hotness.

[jcmarchi]

AI in 2024: Major Developments & Innovations

New Post has been published on https://thedigitalinsider.com/ai-in-2024-major-developments-innovations/

AI in 2024: Major Developments & Innovations

Every technology goes through an evolutionary arc, triggering the breakout moment by a strategic breakthrough event. For Artificial Intelligence (AI), that moment was the launch of ChatGPT in 2022.

As per Emerging Technology Survey 2023, of the 54% companies surveyed, more than half have integrated generative AI in their business operations within a year. With the tremendous growth in AI in 2023, we have to ask: What does 2024 hold for AI? Will the hype convert into a robust AI ecosystem?

Here, we make 6 bold predictions about the major developments and innovations shaping AI in 2024. Let’s quickly recap AI’s wild 2023 year and what the future holds now.

2023: A Year in AI

January: Released in November 2022, ChatGPT marked the beginning of AI’s explosive growth. By January 2023, ChatGPT became the fastest service to reach 100 million monthly active users (within 2 months).

February: Google announces ChatGPT competitor Bard, kickstarting the AI wars.

March: OpenAI makes significant advancements with the release of GPT-4, APIs for ChatGPT, and its text-to-speech model Whisper.

April: Google announces Google DeepMind, combining the teams of Google Research and DeepMind.

May: Microsoft announces AI assistant for Windows 11, and NVIDIA reaches a $1 trillion market cap fueled by the AI boom.

June: The European Parliament makes significant developments on the EU AI Act. It is the first time a widely recognized regulatory body has penned down AI regulation.

July: Meta announces its open-source LLM model Llama 2, and Anthropic releases ChatGPT competitor Claude 2.

August: Quora announces its own AI chatbot called ‘Poe’.

September: Amazon makes historic $4 billion investment into OpenAI competitor Anthropic.

October-November: Elon Musk announces AI chatbot for X called ‘Grok.’ Also, chaos emerges with the OpenAI board as Sam Altman is briefly fired as CEO (and later reinstated).

December: Google announces Gemini, its multimodal AI model.

AI in 2024: What’s to Come

Prediction#1: Increased Regulation and the Need for Compliance

As AI takes off and continues its upward ascent, the technology will come under increased scrutiny from regulatory bodies. This has been evident from 2023 events such as the EU AI Act and the U.S. Senate hearings on AI.

Regulation has become a concern even inside the private sector, such as the recent events with OpenAI where disagreements emerged over AI regulation.

We predict that 2024 will mark a significant moment socially and legally for AI regarding what it should be used for and how it should be used.

Prediction#2: The Rise of Multimodal AI

After Large Language models (LLMs), diffusion models, and generative AI, we will see even more powerful new ways of AI interaction emerge in 2024 with ‘Multimodal AI’.

With this, users can use images, speech, numerical data, etc., to interact with the AI systems intuitively. Think of Google’s recent announcement of its Gemini LLM model, which will succeed LaMDA and PaLM 2 with multimodal AI capabilities.

OpenAI’s GPT-4 has multimodal capabilities in research settings, with multimodal features available in ChatGPT for plus and enterprise users.

Prediction#3: AI Personal Assistants as ‘Copilots’ Will Gain Traction

We predict AI will enable every user to have their own personalized assistants to help accomplish more with less. Moreover, companies will equip their customers with an AI assistant to give each user more personalized interaction.

Companies can also train AI on internal data to create personal AI assistants, enabling employees to work better and smarter with a personal AI sidekick.

Prediction#4: AI Deepfakes Will Make Misinformation and Political Propaganda Bigger Problems

Digital misinformation and its influence on politics have been a widespread concern since the onset of social media. But now, with the rise of AI-generated multimedia propaganda, i.e., ‘deepfakes’, the problem will become a force multiplier.

Especially with elections in the U.S. in 2024 and other parts of the world, such as India, being able to tell if a certain video, audio, or image is real or AI-generated will be an important issue.

Prediction#5: How We Look Up Information Online Will Change

Today, looking up information online involves typing something into a search engine and getting search results pointing to different websites. But now, with the rise of advanced models like Bard and ChatGPT, the way we look for information has changed.

We predict LLMs will act more as reliable dialogue partners, allowing for deeper, intuitive, and contextual access to knowledge. Moreover, this will be supported by the LLMs providing relevant website links where the user can go to verify information.

Prediction#6: Biotech Will Be the Biggest Benefactor of AI

AI’s impact in 2023 was rapid and spanned various industries. While biotech might not have dominated the public conversation, it is one industry that will see AI’s impact the most.

AI’s ability to take complex data and help derive meaningful insights at an unparalleled scale is remarkable. While previous traditional means faced roadblocks, the biotech industry will now take advantage of this event.

For example, in genomics and gene editing, researchers can now analyze complex gene data to identify targets for CRISPR. This can help understand genetic diseases and even map out the impact of gene editing in advance.

The possibilities are endless, so we believe biotech will continue to benefit from AI technology.

More to Come

If 2023 was the year AI captured public attention, 2024 will be the year the technology consolidates and firmly strengthens its presence. This will include breakthroughs in medicine/biotech, new ways to interact with technology through multimodal AI, and much more.

To stay informed about the latest AI news, stay connected with us at unite.ai.