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AI might make your own series and movies a reality, but is it really what you want to see?

One of the heaviest arguments from die-hard fans of Artificial Intelligence is that in a few years it will be able to make your greatest dreams come true: you will become Luke Skywalker, it will create endless sequels of Avengers, you will have your personalized series finale, exclusive, just for you, tailored to the parameters you enjoy the most. Do you want Phineas and Ferb to appear in Game of Thrones and for you to help them get crowned? Of course you do. You will be able to see all that and more by entering a prompt. And I won’t even deny that it’s possible, because after all the […]

One of the heaviest arguments from die-hard fans of Artificial Intelligence is that in a few years it will be able to make your greatest dreams come true: you will become Luke Skywalker, it will create endless sequels of Avengers, you will have your personalized, exclusive series finale, just for you, tailored to the parameters you enjoy the most. Do you want Phineas and Ferb to appear in Game of Thrones and help them get crowned? Of course you do. You will be able to see all that and more by just entering a prompt. And I won’t even deny that it’s possible, because after all, the world has embraced generative AI, with all its mistakes, its junk, and its nonsense, with a strong hug that says “Thank you, we can finally stop paying those annoying creatives.” But is that really what we want? Really?

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An AI to rule them all

Audiovisual content, especially since the advent of streaming, is an individual activity that becomes collective when we talk about it. We don’t watch series just for our own enjoyment, but to discuss them over coffee and recommend them to our friends. The same goes for movies: enjoying them (or not) is just a small part of the process, but it usually doesn’t stop there. Then comes the moment to share your opinion on platforms like Letterboxd and social media, see what others have thought, modify your point of view, and evolve as a viewer.

Have you ever talked about a movie that you didn’t like and ended up appreciating why other people value it positively after a conversation or reading reviews online? It is part of our audiovisual training that helps us build our own opinion, which can vary based on your experience and tastes. Our criteria grow and evolve because it is part of a shared experience, because you can read what others think about what you just watched, because you can modify your opinion based on others.

That’s why I don’t fully understand -nor will I ever understand- the excitement of some for having an absolutely personalized experience, beyond the gimmick, the carnival attraction, the mere curiosity. Would the ending of Lost be better if you were the screenwriter? Would you really enjoy it if there were no room for surprise because everything is tailored to your interests? And above all, do you really want to see something that you can’t discuss with anyone because it belongs only to you? I don’t think so.

The churro factory

The main function of AI is to please you always. Literally, you are right constantly, even if that means lying to you or giving you incorrect data. Of course, it will not dare to say that the fantastic idea you had makes no sense or that the dramatic progression would be completely broken: in a world where we have been increasingly accustomed to series and movies that repeat the plot over and over so that people looking at their phones do not feel excluded, it is likely that a script written in the moment by AI could satisfy a percentage of the population.

But in the end, these kinds of ideas are just part of the circus, the fair attraction, of sharing on social media “what you got.” If we are already overwhelmed with the thousands of series and movies that come out each year that interest us, are we really going to spend time on a personalized experience that we can’t talk about with anyone afterwards because they won’t understand us, nor will they be interested? Imagine for a moment that the ending of Lost was different and modified for each person: there would have been no controversy, and it wouldn’t still be talked about 15 years later.

Damn, we wouldn’t have even been lost, focused on our own individual navel-gazing, where no one challenges us, no one looks us in the eye and holds a mirror in front of us, they only live to please us. Art must confront you with yourself, with your own fears, with gray characters, with things you would never believe you would enjoy. And for that, it needs the human hand, not that of a machine which, at best, can create a basic coherent story. If your dream is for Spider-man to take off his mask and for you to appear in the movie, what you want is not to see a movie, but the typical Christmas video you used to send to your family in proto-Internet where some elves danced and had your face.

If we normalize that AI takes care of our leisure, they have won. If we want that to be the case, we have lost. Deep down, it is that basic. It is that sad.

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Attention, internet users! An anonymous programmer launches Nepenthes, which will fight against bots

Did you still believe that AI wasn’t going to affect your life? Think again. Amid a growing debate over the misuse of generative artificial intelligence and deep learning technologies, an anonymous programmer has developed an innovative tool, Nepenthes, aimed at curbing the advance of web scanning bots. Although AI has beneficial applications, such as in medical science, the proliferation of software that extracts content from the web has raised widespread concerns in the digital community. AI is fine Nepenthes, whose creators describe it as a “digital trap,” works by generating links […]

Did you still think that AI wasn’t going to affect your life? Think again. Amid a growing debate over the misuse of generative artificial intelligence and deep learning technologies, an anonymous programmer has developed an innovative tool, Nepenthes, aimed at curbing the advance of web scanning bots. Although AI has beneficial applications, such as in medical science, the proliferation of software that extracts content from the web has raised widespread concerns in the digital community.

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AI is fine

Nepenthes, whose creators describe it as a “digital trap,” works by generating random links that always point back to itself. This keeps bots trapped in an endless loop, preventing access to real content. According to the programmer who goes by the name Aaron B, crawlers are not particularly intelligent: “They download a URL and, if they find links to others, they download those too”, he explains. Through this mechanism, Nepenthes can saturate valid URLs and consume resources inefficiently.

The creator of Nepenthes has expressed his frustration about the evolution of the Internet, describing it as a “money-extracting panopticon”, dominated by oligarchs who control digital discourse. With this perspective, the programmer has decided to act offensively by allowing bots to “swallow” useless information, although he also warns that the software can cause high resource consumption, which could frustrate less technical users.

Despite its intentions, some critics consider that Nepenthes is a form of malicious software, whose real effectiveness against the growing tide of bots is questionable. Aaron B states that his creation will not eliminate the demand for resources generated by these systems, but it could waste the time of some of the more intrusive ones. The discussion about the role of artificial intelligence and its ethical use remains very relevant in the technological field.

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iOS 18.2 and ChatGPT: This is everything we can do

With the arrival of iOS 18.2, a huge change comes that makes using Open AI’s artificial intelligence on our iPhone easier and more efficient than ever. The integration of ChatGPT with Apple Intelligence allows us to perform tasks that previously required several steps with just the press of a button. Siri becomes a much more capable tool, as it combines its usual power with the knowledge and creativity of ChatGPT, while we can create texts from, literally, any part of the system. Let’s see how to set up these features and everything we can do now. Simple setup, and […]

With the arrival of iOS 18.2, comes a huge change that makes using Open AI’s artificial intelligence on our iPhone easier and more efficient than ever. The integration of ChatGPT with Apple Intelligence allows us to perform tasks that previously required several steps with just the press of a button. Siri becomes a much more capable tool, as it combines its usual power with the knowledge and creativity of ChatGPT, while we can create texts from, literally, anywhere in the system. Let’s see how to configure these functions and everything we can do now.

Simple setup, and without a ChatGPT account

Activating the ChatGPT integration in iOS 18.2 is extremely simple. From the settings on our iPhone, in the Apple Intelligence and Siri section, we will find a new extension called ChatGPT. Just activate the option and, if desired, log in with a ChatGPT account to access the models reserved for Plus or Pro accounts.

It is important to highlight that we do not need an account to start using ChatGPT on the iPhone. We can enjoy the basic features of the service at no cost, although if we want to go further, a free or paid account will allow us to access more functionalities.

Siri and ChatGPT: A Winning Combination

The collaboration between Siri and ChatGPT marks a before and after in what we can ask our favorite assistant. Now, Siri can turn to ChatGPT to answer the most complex questions. For example, if we ask Siri to identify an object through the camera, the assistant will use ChatGPT to provide us with a more accurate response.

We also have the possibility to generate images directly from Siri. Just say something like “ChatGPT, create an image of a futuristic landscape” for the system to use Dall-E and provide us with the result. We can save the image or send it immediately.

Another very interesting function that Siri opens the door to is the ability to send the screen content to ChatGPT. If we are viewing a document or a web page and want a more detailed explanation, Siri can send the file or a screenshot for ChatGPT to analyze.

Writing Tools and Visual Intelligence: More than text

The integration of ChatGPT also extends its capabilities to Writing Tools and Visual Intelligence, two tools that completely change the way we interact with our environment and with the text we manage on our devices.

With Writing Tools, ChatGPT allows us to write texts, analyze documents, or even interpret images. From an email to a poem, we can describe what we want to write, and the system will generate it with great precision. If necessary, we can upload files or images to serve as a reference, making the task even easier.

On its side, Visual Intelligence relies on the iPhone’s camera to identify objects, places, and people. By pointing the camera, we can ask Siri to give us more information about what we are seeing. Here, ChatGPT will provide the answer. Whether we need to recognize a specific location, know the type of plant in front of us, or simply describe what appears in an image, all we need to do is focus the camera.

Comfort, yes, but privacy above all

Apple assures us that the data sent to ChatGPT is not linked to our Apple account and that our IP address remains hidden. Additionally, according to the agreement between Apple and OpenAI, the latter does not store our queries or the generated responses, ensuring a much more private use than when we interact with ChatGPT directly.

With iOS 18.2 and the integration of ChatGPT, Apple has taken artificial intelligence to a new level, offering us features that combine the power of ChatGPT and the ease of use of iOS. From image generation to text writing, the possibilities are almost endless. An advancement that greatly enhances our daily interactions with the iPhone and sets a new standard for what we can expect from technology in our devices.

The ChatGPT app is updated on Mac and PC: these are its new abilities

With the latest update of the ChatGPT app for Mac and PC, OpenAI has surprised us with a series of improvements that continue to evolve how we use this tool on our computers. From new integrations with applications to the possibility of using the Advanced Voice Mode in them, we are seeing how ChatGPT is becoming much more than an AI assistant. Enhanced integrations: ChatGPT more connected than ever. If a few weeks ago we saw the beginning of integration with third-party apps on the desktop, now the list is expanding. And this includes not only […]

With the latest update of the ChatGPT app for Mac and PC, OpenAI has surprised us with a series of improvements that continue to evolve how we use this tool on our computers. From new integrations with applications to the possibility of using the Advanced Voice Mode in them, we are seeing how ChatGPT is becoming much more than an artificial intelligence assistant.

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Enhanced integrations: ChatGPT more connected than ever

If a few weeks ago we saw the beginning of the integration with third-party apps on the desktop, now the list is expanding. And this includes not only more code editors but also text applications, terminals, and productivity platforms. Among the new integrations are BBEdit, MatLab, TextMate, and the JetBrains ecosystem, with options like IntelliJ IDEA or PyCharm, among others.

Additionally, support has been added for applications like Apple Notes, Notion, and Quip, allowing us to enjoy the power of ChatGPT within the environments we already work in daily. This means we can draft notes in Notion, edit projects in BBEdit, or create workflows in Quip while ChatGPT offers contextual suggestions, resolves our doubts, or even helps us with the creation of the content itself.

OpenAI has clarified that these new features are only activated with our consent so that we can, at all times, maintain privacy and control over our data. In the words of Kevin Weil, product director at OpenAI: “We are moving towards a more agentive experience, where ChatGPT will not only answer questions but also do things for us.”

Advancements in voice use: Advanced voice mode expands its reach

Another really interesting change that comes with this update is the integration of the Advanced Voice Mode with the new applications. This mode, which had already shown its potential in previous updates, now allows ChatGPT to interact more naturally and quickly with compatible applications, such as Notes or TextEdit.

The Voice Mode can interpret the context of the application we are working in. If we are writing a note, for example, we can ask ChatGPT to summarize our ideas or even suggest ways to improve them. In the case of platforms like VS Code, we can dictate code snippets that the system will adjust according to our instructions. All of this, without pressing a single key.

ChatGPT: one step closer to using the computer for us

The ChatGPT app is beginning to take the first steps towards more autonomous computer use. Although OpenAI has been cautious in this regard, Weil hinted in his comments that, with our permission, ChatGPT could read what appears on the screen or even perform certain tasks automatically, such as writing text, organizing documents, or modifying settings.

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An approach that is similar to the model Anthropic has developed with Claude and which, according to OpenAI, will be gradually rolled out, with more features planned for 2025. While we wait for these updates, it is clear that the latest update of ChatGPT for Mac and PC marks a before and after in how we interact with this tool on the desktop. Thanks to its new integrations, the Advanced Voice Mode now available in these integrations, and its growing ability to manage tasks, ChatGPT is becoming an indispensable companion for our daily activities.

ChatGPT 01 vs 4.0: What are the differences and when should we use one or the other

With the arrival of the ChatGPT o1 model, OpenAI has once again raised the bar in the world of artificial intelligence —and significantly, we must add—. If it was already easy to be impressed with the capabilities of GPT-4o, o1 reaches an unprecedented level of reasoning and precision. Slower and not designed for the same tasks, we must consider which model to use in each situation. Both are impressive in their own categories, but they offer different results depending on our needs. Let’s see what the key differences are and when we should choose one or the other. What o1 offers us: advanced reasoning for the most […]

With the arrival of the ChatGPT o1 model, OpenAI has once again raised the bar in the world of artificial intelligence—and significantly, we must add. If it was already easy to be impressed with the capabilities of GPT-4o, o1 reaches an unprecedented level of reasoning and precision. Slower and not designed for the same tasks, we must consider which model to use in each situation. Both are impressive in their own categories, but they offer different results depending on our needs. Let’s see what the key differences are and when we should choose one or the other.

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What o1 offers us: Advanced reasoning for the most demanding

The o1 model, also known as Project Strawberry, was introduced as OpenAI’s first model with reasoning capabilities. This means that it not only generates answers but also reviews its own results to offer us the highest possible accuracy. This way of operating is tremendously useful in complex math problems, code creation, or scientific issues.

The model uses a completely new optimization algorithm and a dataset specifically tailored to this reasoning approach. Thanks to this, according to OpenAI, serious errors have been reduced by 34% compared to its previous version, resulting in more reliable responses.

The o1 model, however, is not accessible to all users. Its availability is reserved for those with Plus or Pro subscriptions. With the Plus version, we have 50 weekly messages with o1, while the Pro subscription removes these restrictions.

If our work involves solving highly technical problems or analyzing large volumes of complex data, o1 is the ideal choice. It allows for much more extensive text input; it enables the system to break down a complex request into individual tasks and complete it; and, although its focus is not as centered on creativity or natural language as other models, it offers us unparalleled calculation and analysis capabilities.

The versatility of GPT-4o: Speed and multimodal capability

GPT-4o has been designed to offer a balance between speed, cost, and performance. This model was a significant step forward compared to GPT-4, and it excels in natural language tasks, creative generation, and especially multimodal processing. The latter includes text, audio and vision.

Unlike o1, GPT-4o is also available in the free tier of ChatGPT, although with daily usage limits. With a Plus subscription, the restrictions are considerably relaxed, allowing for much smoother use of the model. Among its strengths is its 128,000-character context window, making it ideal for long or complex projects that require working with large volumes of information, and the Canvas mode.

GPT-4o delivers excellent results in creative tasks such as story generation, text writing, or visual content creation. If we are looking for a model that is fast, efficient, and more affordable, this option is sure to meet our needs.

When to choose one or the other

The decision between o1 and GPT-4o largely depends on the type of task at hand. If we need a complete and specific solution for complex questions, o1 is the right choice. This includes projects that require detailed data analysis, complex calculations, or rigorous answer verification. Also, those in which the request itself includes several steps or subtasks.

On the contrary, if we are looking for a more versatile, flexible, fast model oriented towards creative or more general tasks, GPT-4o is the ideal option. Its balance between cost and performance makes this model a valuable tool for our daily activities, from content generation to solving more general queries.

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Overall, o1 offers us maximum precision in complex statements, while GPT-4o stands out for its versatility and flexibility. Depending on our needs, having both models allows us to always have the right tool at hand.

Sora, the video generator from OpenAI is now available: how to try it

As part of OpenAI’s 12 days of releases, the company has taken a huge step forward in the world of artificial intelligence with the public launch of Sora, its video generation model, a tool that aims to change the way we create and edit content. Since its initial presentation in February, Sora had been available only to some researchers, but now, finally, we can access this tool as part of the ChatGPT Plus and ChatGPT Pro subscriptions. What is Sora and what can we do with it Sora is an artificial intelligence model that […]

As part of the 12 days of OpenAI launches, the company has taken a huge step forward in the world of artificial intelligence with the public release of Sora, its video generation model, a tool that aims to change the way we create and edit content. Since its initial presentation in February, Sora had been available only to some researchers, now, finally, we can access this tool as part of the ChatGPT Plus and ChatGPT Pro subscriptions.

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What is Sora and what can we do with it

Sora is an artificial intelligence model that allows us, primarily, to generate videos from simple text descriptions. Its functionality goes far beyond creating content from scratch, however. The OpenAI tool has integrated options that allow us to edit, transform, and personalize videos in a simply astonishing way.

Among the most notable features of Sora, we find these:

Remix: A tool to modify elements of an existing video, such as replacing an object, removing it completely, or simply presenting it differently. For example, we can remove a person from a shot or add trees to a scene.
Re-cut: Allows us to find and extend the best moments of a video, and with those frames, extend the video and narrative by naturally completing a scene.
Storyboard: A tool to organize and structure shots in a customized timeline, making editing much more accessible.
Loop: Ideal for creating looped videos that repeat seamlessly for, for example, social media or presentations.
Blend: Combines two videos into a single smooth sequence, eliminating abrupt transitions.
Style Presets: Offers predefined styles to customize the aesthetics of our videos. Additionally, we can share our presets with the community to inspire others.

How we can access Sora

Access to Sora is integrated into the paid subscriptions of ChatGPT, although with certain limitations depending on the chosen plan.

With ChatGPT Plus: For a cost of 20 dollars per month, we can generate up to 50 priority videos with a maximum resolution of 720p and a duration of up to 5 seconds. It is important to note that the videos include a watermark.
With ChatGPT Pro: For 200 dollars per month, this plan allows us to create up to 500 priority videos with resolutions up to 1080p and durations up to 20 seconds, in addition to having unlimited generation in relaxed mode and the ability to download videos without watermarks. We also have the option to work on up to five generation projects simultaneously.

Currently, Sora is available in all countries where ChatGPT is available, except in the United Kingdom, Switzerland, and Europe, due to regulatory difficulties. From what we have been seeing, access —especially now, with the launch— may be intermittent due to high demand.

According to Sam Altman, CEO of OpenAI, new sign-ups to use the tool are intermittently disabled, so trying to access several times a day increases our chances of gaining access. Finally, OpenAI has explained that it is working on a pricing model more suited to different types of users, planned for next year.

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Sora represents a very important evolution in the field of video editing powered by artificial intelligence, something that will undoubtedly attract the attention of both individual creators and professional teams. Its ability to simplify complex tasks and generate quality content quickly makes it an option to seriously consider, especially for those of us already familiar with OpenAI tools. If we are subscribed to any of the ChatGPT plans, Sora is already at our disposal. We just need to log in, explore its tools, and be amazed by what we can create with just a few words.

SearchGPT is much easier to use on the iPhone thanks to new shortcuts

The arrival of SearchGPT has marked a before and after in how we search for and find information. Developed by OpenAI, this AI-powered search engine provides us with precise results without having to read endless pages and articles. Now, thanks to the latest update of the ChatGPT app on the iPhone and iPad, usage has been further simplified thanks to integration with Shortcuts. A combination that gives us instant access to everything SearchGPT offers directly from the home screen or even through Siri. The integration with Shortcuts changes it […]

The arrival of SearchGPT has marked a before and after in how we search for and find information. Developed by OpenAI, this AI-powered search engine provides us with precise results without having to read endless pages and articles. Now, thanks to the latest update of the ChatGPT app on the iPhone and iPad, usage has been further simplified thanks to integration with Shortcuts. A combination that gives us instant access to everything SearchGPT offers directly from the home screen or even through Siri.

Integration with shortcuts changes everything

With the new version of ChatGPT, we can add a shortcut for SearchGPT to almost any part of the system. A small change that is huge in terms of convenience, as it allows us to access the search engine from anywhere with just a tap or a voice command. We simply invoke Siri with “Hey Siri, Search with SearchGPT” and the app opens directly in web search mode.

Access is not limited to Siri, however. We can place SearchGPT on our home screen as a dedicated icon or even on the lock screen, making SearchGPT as accessible a tool as any other search service.

SearchGPT is drawing attention in the field of searches. When making a query, we not only get clear answers but also links to verified sources and real-time data. Do we want to read the full information? We have it before us. Do we just want an answer? We can resolve any doubt with the first two sentences.

With this latest integration, OpenAI reaffirms its position as a substitute for Google and other search engines. Now, more than ever, searching for information with artificial intelligence is fast, efficient, and, above all, easier.

Apple Intelligence is possible thanks to this key decision from 2017

Apple has shaped its artificial intelligence with a unique focus on privacy and local processing that makes a difference in how we interact with our devices while distinguishing itself from what other companies propose. The path that has led this technology to where it is today began longer ago than we might imagine. A key decision in 2017, based on the forward-thinking vision that characterizes Apple, laid the foundation for us to enjoy Apple Intelligence today on devices with M1 chips and later. The origin of Apple Intelligence: a […]

Apple has shaped its artificial intelligence with a unique focus on privacy and local processing that makes a difference in how we interact with our devices while distinguishing itself from what other companies propose. The path that has led this technology to where it is today began longer ago than we might imagine. A key decision in 2017, based on the forward-thinking vision that characterizes Apple, laid the groundwork for us to enjoy Apple Intelligence on devices with M1 chips and later.

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The Origin of Apple Intelligence: A Vision That Began in 2017

In 2017, the Apple team was already looking beyond the horizon of the technology available at that time. It was then that the first version of the Bionic chips with the Neural Engine was introduced, initially conceived as a tool to enhance the computational photography capabilities in the iPhone.

That same year, Apple’s engineering team realized the opportunity they had on their hands when they read a scientific paper titled Attention is All You Need, which introduced the world to transformer neural network models. As explained by Tim Millet, Apple’s Vice President of Hardware Engineering, in an interview on The Circuit podcast (via 9to5mac), the team saw the potential of this technology to revolutionize the field of artificial intelligence.

Instead of limiting itself to the initial capabilities of the Neural Engine, Apple made a strategic decision: completely rethink its architecture to pave the way for something much bigger. From the very beginning, the company understood that the development of technologies like transformer networks would take years to materialize, but it would take almost the same time to adapt the chips to those capabilities. Therefore, according to Millet, starting in 2017, the team began working on a more advanced version of the Neural Engine, which was finally introduced with the M1 chip in 2020.

A Path Prepared to Lead the Future

The arrival of the M1 chip —four years ago— marked a before and after in Apple’s transition to its own chips and laid the foundation for what today makes Apple Intelligence possible. The enhanced Neural Engine allowed devices with the M1 chip to efficiently run advanced neural networks, and most importantly, on the device itself.

This not only offers us greater power and speed, but also an unparalleled level of privacy, as the data does not need to leave the device to be processed. A fundamental difference compared to other artificial intelligence solutions that rely on cloud servers.

The fact that Apple Intelligence is available on all Macs with an M1 chip or later is no coincidence. It is, as clearly seen in the interview, the result of very careful planning and a long-term vision —seven years to be exact— that began with that decision in 2017.

Thanks to that vision, today we can enjoy features such as object removal in Photos, intelligent notification sorting, or real-time personalized emoji generation, all processed directly on our device. And that’s just the beginning, as the second part of Apple Intelligence with the Image Tools will arrive shortly, and subsequently, the new Siri with knowledge of our personal context will follow.

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Without that key decision in 2017, the landscape of Apple Intelligence would be very different. While we wait to know when Google Gemini will be integrated with Siri or see how to use ChatGPT to transcribe our handwritten notes for free, it’s easy to hear comments along the lines that Apple has missed the train when it comes to artificial intelligence, but interviews like this give us another perspective. Seven years ago, Apple was not content with what was possible at that time, it bet on what was to come, and that bet has resulted in something that today makes our lives easier and, above all, smarter.

Everything you need to know about Claude, Anthropic’s AI

Claude, the set of artificial intelligence models from Anthropic, has quickly gained ground in the competitive AI space, rivaling giants like OpenAI. This family of models is designed to perform a variety of tasks ranging from drafting emails and captioning images to solving complex programming and math problems. Although the name Claude may not be as recognized as others in AI, its versatility and capabilities are positioning it as one of the most promising tools for businesses and developers. A literary family: Haiku, Sonnet, and Opus Anthropic has given a […]

Claude, the set of artificial intelligence models from Anthropic, has quickly gained ground in the competitive AI space, rivaling giants like OpenAI. This family of models is designed to perform a variety of tasks ranging from drafting emails and image captioning to solving complex programming and math problems. Although the name Claude may not be as recognized as others in AI, its versatility and capabilities are positioning it as one of the most promising tools for businesses and developers.

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A literary family: Haiku, Sonnet, and Opus

Anthropic has given an artistic touch by naming its models Claude, drawing inspiration from literary works such as the haiku and the sonnet. The current versions are Claude 3 Haiku, Claude 3.5 Sonnet, and Claude 3 Opus, each with features and performances tailored to different needs.

Claude 3 Haiku is the lightest and fastest model, ideal for simple tasks or those requiring immediate responses. Although its capacity is limited compared to the other versions, its speed makes it a noteworthy option for applications that do not need highly advanced processing.
Claude 3.5 Sonnet is the intermediate model, and currently the most robust in terms of its ability to handle complex and nuanced tasks. This model has even surpassed Claude Opus in some aspects, especially in understanding more detailed instructions and processing speed.
Claude 3 Opus, although it is the high-end model of the Claude family, has been overshadowed by Sonnet in this generation, although this could change with the future version Claude 3.5 Opus.

Analytical capacity and context

One aspect that makes the Claude models stand out is their ability to analyze large volumes of data in a single interaction. This is due to their context capacity, which in the standard versions of Claude can handle up to 200,000 tokens.

To put it in perspective, 200,000 tokens are approximately equivalent to 150,000 words, or the content of a 600-page novel. This capability allows Claude to analyze large amounts of text, images, graphics, and technical diagrams, which is useful for a variety of applications.

In addition to analyzing texts, Claude models can also generate structured outputs in formats like JSON, making them very useful if we need organized and precise information. This allows us to process data, so to speak, and change their format or perform operations with them while maintaining a formatted response.

In conclusion, it is worth noting that these models can also follow multistep instructions, making them more efficient for solving complex problems.

Connection and image limitations, for now

Despite their versatility, Claude models are not, like all other AI systems, free from some shortcomings. One of the main ones is that they do not have internet access. This means they are not the best option for answering questions about current events or obtaining real-time information.

Additionally, although Claude can generate simple diagrams, it cannot create complex images, which can be a disadvantage compared to other AI models that do have this capability.

Claude’s models, for now, focus on text and very specific datasets to achieve the performance they boast. Although there is no official confirmation, it is expected that Anthropic is already developing new versions with network access capability or image generation.

Subscription plans and pricing

We can access Claude from claude.ai for free, just by creating an account. Anthropic offers subscription plans that cater to both individual users and businesses. The plans, and their prices, are as follows:

Claude Pro, which for 20 dollars a month increases usage limits, grants priority access, and allows testing of new features before their official release.
Claude Team, designed for small businesses, costs 30 dollars per user per month and offers integrations with business management tools like Salesforce, in addition to administrative controls.
Claude Enterprise, focused on large companies, allows uploading of own data and features an expanded context window of 500,000 tokens.

Token prices and availability via API

The Claude models are available through the Anthropic API, as well as on managed platforms like Amazon Bedrock and Google Cloud’s Vertex AI. Prices vary depending on the model, giving us the flexibility we need according to our requirements:

Claude 3 Haiku is priced at $0.25 per million input tokens (~750,000 words), and $1.25 per million generated tokens.
Claude 3.5 Sonnet costs $3 per million input tokens and $15 per million generated tokens.
Claude 3 Opus is the most expensive model, costing $15 per million input tokens and $75 per million generated tokens.

Additionally, Anthropic offers additional tools to optimize costs and performance, such as prompt caching and batch processing of requests, which save time and money by reusing contexts from previous requests or grouping lower-priority tasks.

The Claude models from Anthropic are both powerful and versatile, with applications across a wide range of sectors. Their ability to process large volumes of data, combined with their simplicity, makes these tools, although less known than ChatGPT, very capable and undoubtedly interesting.

Traces of ChatGPT discovered in Siri: integration is approaching quickly

Apple is preparing one of the most important updates in the history of its virtual assistant, Siri: integration with ChatGPT. According to a recent discovery in the internal code made by MacRumors, this integration is in full development and we will most likely see it in the form of a beta version sooner rather than later. The biggest change for Siri in its entire history. The integration of ChatGPT with Siri was officially announced at the Worldwide Developers Conference last June, as part of the Apple Intelligence feature set. This integration will allow Siri to handle […]

Apple is preparing one of the most significant updates in the history of its virtual assistant, Siri: integration with ChatGPT. According to a recent discovery in the internal code made by MacRumors, this integration is in full development and it is most likely that we will see it in the form of a beta version sooner rather than later.

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The biggest change in Siri’s history

The integration of ChatGPT with Siri was officially announced at the Worldwide Developers Conference last June, as part of the Apple Intelligence feature set. This integration will allow Siri to handle more complex queries by delegating them to ChatGPT, which will provide detailed and accurate responses. Additionally, according to the discovered code, Siri will be able to generate both text and images through this integration, significantly expanding its capabilities.

Apple will not store requests made to ChatGPT through Siri, and our privacy will be protected by hiding IP addresses. Unlike Apple Intelligence systems, which summarize or correct an already given text, ChatGPT will have the ability to create content from scratch.

Another feature in development is Visual Intelligence, designed for iPhone 16 users and its Camera Control. With a tap, the device’s camera will recognize objects and places, providing us with relevant information, if necessary with the help of ChatGPT.

We are waiting for Apple Intelligence to arrive, for now without integration with ChatGPT, in the upcoming iOS 18.1 scheduled for October 28. Around this date, we should also see the first beta of iOS 18.2, which will indeed feature the integration for which references have already been discovered. Looking at the calendar, there is little time left for what will be the biggest change for Siri in its entire history.