#chatgpt tester

[zerogpt36]

Empowering Content Verification with Zerogpt: Your Ultimate AI Text Checker

In an era where technology pervades every aspect of our lives, distinguishing between human and AI-generated content has become increasingly challenging. From news articles to social media posts, the prevalence of AI-driven writing tools raises questions about the authenticity and reliability of online content. Enter Zerogpt, the pioneering brand revolutionizing content verification with its advanced AI text checker. Whether you're a journalist, educator, or business professional, Zerogpt empowers you to determine with confidence whether a piece of text was written by a human or generated by an AI algorithm.

Navigating the Landscape of AI-Generated Content

The rise of AI-driven writing tools has transformed the landscape of content creation, offering unprecedented speed and efficiency in generating written text. While these tools can be valuable resources for content creators, they also pose challenges in verifying the authenticity and reliability of the content they produce. With AI algorithms becoming increasingly sophisticated, it has become more difficult to discern whether a piece of text was authored by a human or generated by an AI.

Introducing Zerogpt: Your Trusted AI Text Checker

Zerogpt emerges as a beacon of clarity in the realm of content verification, offering a comprehensive solution for determining whether a piece of text was written by a human or generated by an AI algorithm. At the heart of Zerogpt lies its advanced AI text checker, which leverages cutting-edge machine learning algorithms and natural language processing techniques to analyze text and identify signs of AI involvement. Whether you're a journalist fact-checking an article, an educator assessing student submissions, or a business professional verifying the authenticity of online content, Zerogpt provides you with the tools you need to make informed decisions with confidence.

ChatGPT Tester: Unveiling Zerogpt's Capabilities

Central to Zerogpt's AI text checker is its innovative ChatGPT Tester, which enables users to analyze text and determine whether it exhibits characteristics consistent with human or AI-generated writing. By examining linguistic patterns, syntactic structures, and semantic clues present in the text, Zerogpt's ChatGPT tester provides users with real-time feedback on the authenticity of written content. Whether you're assessing the credibility of a news article, evaluating the quality of a research paper, or reviewing social media posts, Zerogpt's ChatGPT tester empowers you to navigate the complexities of content verification with ease and confidence.

AI Check Text: Ensuring Authenticity and Reliability

In addition to its ChatGPT tester, Zerogpt offers a comprehensive AI check text feature that enables users to assess the authenticity and reliability of written content. By analyzing various linguistic features and stylistic elements, Zerogpt evaluates the quality and coherence of the text, providing users with a comprehensive assessment of its authenticity. Whether you're concerned about the potential for AI-generated text in your work or seeking to verify the credibility of online content, Zerogpt's AI check text feature ensures that your content remains authentic, credible, and trustworthy.

How to Check if AI Wrote This - Zerogpt's Solution

With the ever-expanding influence of AI in content creation, verifying the authenticity of written text has become a pressing concern. The keyword "check if AI wrote this" encapsulates the growing need for tools and solutions that can discern between human and AI-generated content. Zerogpt stands at the forefront of addressing this challenge, offering innovative technology and advanced algorithms to empower users to determine with confidence whether a piece of text was authored by a human or generated by an AI. Leveraging cutting-edge machine learning and natural language processing techniques, Zerogpt provides a reliable solution for ensuring content integrity in an increasingly digitized world.

GPT Finder: Identifying AI Involvement

Zerogpt's GPT finder feature is designed to identify and analyze text generated by AI algorithms, enabling users to determine whether a piece of text was authored by a human or generated by an AI. By leveraging advanced machine learning algorithms and linguistic analysis techniques, Zerogpt's GPT finder provides users with valuable insights into the origins of written content. Whether you're a content creator striving for authenticity or a business professional seeking to ensure the credibility of your brand messaging, Zerogpt's GPT Finder empowers you to verify the authenticity of written communication with confidence and clarity.

Conclusion: Embrace the Future of Content Verification with Zerogpt

As the prevalence of AI-driven writing tools continues to grow, the need for reliable content verification solutions has never been more pressing. With its advanced AI text checker and innovative features like ChatGPT tester and GPT finder, Zerogpt empowers users to navigate the complexities of content verification with ease and confidence. Whether you're a journalist, educator, or business professional, Zerogpt provides you with the tools you need to ensure the authenticity and reliability of written content in an increasingly digital world. Embrace the future of content verification with Zerogpt and unlock new possibilities for authentic and meaningful communication.

[zerogpt3]

An AI Detector is a tool that uses a vast datasets of information to determine whether a piece of text is genuinely human-writtten or if it's AI-generated.

[fayesdiary]

Lately because of my job I have to reluctantly use Gemini for the sake of testing it (for context I work as a mobile QA tester. Not gonna say any more than that because I'm a big fan of not doxxing myself) and after having to repeatedly try it for days I started noticing a couple of things.

First things first: When critics say genAI is basically just a fancy autocomplete, that is a huge understatement.

Since my tests consist of giving it various prompts and making sure the answers are correct, I had to look closely at the answers. And aside from bugs like it randomly coughing up words in Russian which I mean, that's what I'm there to help fix, I started noticing quickly that a lot of the responses are basically identical.

Sure, the context may vary depending on what exactly I ask it, but the phrases? The ways of speech? They're basically the same. Hell, sometimes it reuses entire paragraphs.

And to be clear, it's not like tendencies or patterns of an actual human writer. Rather it's like it takes a preexisting module of the response and just adds the appropriate words to make it make sense.

And sure, bugs aside it's technically correct, but at the same time it's eerily uncanny because no human genuinely writes like this all the time. Again, it's a fancy autocomplete, nothing more. It's like writing an essay by picking the suggested words from the phone and have it just happen to make sense somehow.

When you realize what genAI actually is and recognize the patterns... well, that's a hell of a lot less impressive than what all the techbros make it out to be, right?

Which leads to my second point- Ironically, now that I've been forced to use it repeatedly, I'm not afraid of genAI replacing writers and artists. Not anymore.

I've heard a few people say that there is no genuine threat of genAI replacing authors and essays or students passing by submitted works generated with it because genAI... can't actually write.

I was skeptical of this at first- after all, capitalism loves prioritizing cutting costs over quality (nevermind the sheer amount of electricity this thing wastes but I digress), so why would companies care as long as it's passable?

But honestly, I think I get it now.

Remember, I noticed entire paragraphs and sections being practically copypasted, and this is only after a few short responses. And I haven't study a thing about academic writing or linguistics, most I've done is write fanfiction whenever the planets happen to align.

Can you imagine having Gemini, ChatGPT or whatever write a book or heck, even an entire novel and trying to get it published into mainstream? It'd immediately get clocked out and laughed at like it rightfully deserves.

Now, I'm not naive. Again, capitalism. Companies will keep shoving genAI down our throats as long as they can get away with it (especially since they now have employees "correct" the generated works which is more work than having them make it from scratch. Best possible system amirite?)... but at the same time the fact they keep pushing it this aggressively says a lot, doesn't it?

genAI is already starting to cannibalizing itself. Ironically, by now plagiarizing those works it already made by plagiarizing actual artists and writers and now pollute the Internet. And considering how much electricity it costs to keep these things running...

Well. I'm no financial expert, but all these aggressive tactics sure sound like sunken cost fallacy, don't they?

Just saying. If this was a thing people actually wanted or used, every tech company under the sun wouldn't practically force us to use it (always opt-out of course, never opt-in) with increasingly hidden buttons to turn it off. Microsoft wouldn't passive-aggressively announce Edge now having genAI features with "Resistance is futile". Musk wouldn't feel the need to slap a button under every art post on Twitter to plagiarize it with its genAI and then pretend those original works were also generated with it.

It'd be a feature like any other, with no need to push it so aggressively. This reads more like "please, please you HAVE to use our genAI, we wasted millions on this", because just like NFTs, they've always been a pyramid scheme. This one was just better at hiding it and appeal to the average person. Ironically, I think they of all people know they can't push this for long the most.

I still despise genAI for everything it represents- the wastefulness and disregard for the environment, the confusing buzzwords of the techbros who are in love with it and most of all, the utter contempt and lack of respect society has for artists, writers and anyone who has done any kind of creative work- and I truly think it can't die soon enough.

But having to use it so much for work ironically gave me confidence it will die someday. It's not even a hope, more like the logical conclusion.

Because genAI is not the future, is not an exciting new technology, is not revolutionary and most importantly is not a replacement for artists and writers.

It's just a fancy autocomplete.

[asc27]

Rivoluzionare l’AI? Fatto. Ecco Vitruvian-1, l’intelligenza artificiale di nuova generazione tutta italiana!

Dimenticate tutto ciò che pensavate di sapere sull’intelligenza artificiale. Oggi vi presentiamo qualcosa di diverso, qualcosa che va oltre le semplici chatbot o i modelli giganteschi: #Vitruvian-1 è finalmente operativo!

Non si tratta solo di un nuovo modello AI, ma di un vero e proprio cambio di paradigma per l’Europa. Sviluppato da ASC27 s.r.l., Vitruvian-1 è un concentrato di innovazione con capacità di reasoning avanzato, progettato e allenato interamente in Italia. Un modello da 14 miliardi di parametri che non teme di affrontare le sfide più complesse in ambiti come matematica, fisica, medicina, diritto e molto altro.

Perché Vitruvian-1?

Il nome non è casuale. Vitruvian-1 prende ispirazione dall'Uomo Vitruviano di Leonardo da Vinci, simbolo del genio italiano e della perfetta armonia tra arte e scienza. Oggi, circa 500 anni dopo, quella stessa ambizione si traduce in un modello AI capace di portare l'Italia e l'Europa al centro della rivoluzione tecnologica globale.

Non è solo una questione di potenza bruta. In un mondo dominato da modelli giganteschi come ChatGPT, Claude o LLaMA, Vitruvian-1 dimostra che l'efficienza e la capacità di ragionamento contano più delle dimensioni. Abbiamo scelto la via dell’agilità e dell’efficienza, creando un modello che sa pensare in modo strutturato, offrendo soluzioni concrete a problemi complessi.

Cosa rende unico Vitruvian-1?

Non è un semplice chatbot: Vitruvian-1 non è progettato per chiacchierare o intrattenere. È un motore di ragionamento avanzato pensato per risolvere problemi reali.

Competenze multidisciplinari: Dalla matematica alla medicina, dalla fisica al diritto, Vitruvian-1 affronta sfide complesse con una precisione sorprendente.

Multilingua e orgogliosamente italiano: Parla le principali lingue europee, con una connessione profonda alla lingua italiana per supportare aziende e istituzioni nazionali.

Efficienza senza precedenti: Pur essendo più "snello" rispetto ai giganti dell’AI, Vitruvian-1 riesce a superare modelli ben più grandi grazie alla sua capacità di reasoning avanzato.

Un modello europeo per un futuro europeo Vitruvian-1 non è solo un traguardo tecnologico: è un manifesto. Un AI sviluppato in Europa, che rispetta i valori e le normative europee, promuovendo un ecosistema tecnologico capace di attrarre talenti e investimenti internazionali.

In un Paese che ha dato i natali al telefono, alla radio, al personal computer, oggi celebriamo un nuovo passo avanti. Con Vitruvian-1, l'Italia reclama il suo posto nel mondo dell’AI globale.

Questo traguardo non sarebbe stato possibile senza il supporto di chi ha camminato al nostro fianco fin dall'inizio. Un ringraziamento speciale va agli amici, ai sostenitori e agli alpha tester che hanno creduto in noi, sfidato i limiti con feedback preziosi e contribuito a rendere Vitruvian-1 quello che è oggi.

Ogni riga di codice, ogni test superato, ogni sfida affrontata è anche merito vostro. Questo �� il risultato di una comunità che crede nel potere dell'innovazione.

Come accedere a Vitruvian-1?

Link al modello

Sei interessato a leggere il Technical Paper? Puoi farlo cliccando sul seguente link: LINK

E non è finita qui...

Vitruvian-1 è solo l'inizio. ASC27 sta già lavorando a nuovi modelli, con funzionalità ancora più avanzate. Nell’AI, un mese equivale a un lustro in qualsiasi altro settore: restate sintonizzati, il meglio deve ancora venire! 

[jcmarchi]

OpenAI launches Sora: AI video generator now public

New Post has been published on https://thedigitalinsider.com/openai-launches-sora-ai-video-generator-now-public/

OpenAI launches Sora: AI video generator now public

OpenAI has made its artificial intelligence video generator, Sora, available to the general public in the US, following an initial limited release to certain artists, filmmakers, and safety testers.

Introduced in February, the tool faced overwhelming demand on its launch day, temporarily halting new sign-ups due to high website traffic.

Changing video creation with text-to-video creation

The text-to-video generator enables the creation of video clips from written prompts. OpenAI’s website showcases an example: a serene depiction of woolly mammoths traversing a desert landscape.

In a recent blog post, OpenAI expressed its aspiration for Sora to foster innovative creativity and narrative expansion through advanced video storytelling.

The company, also behind the widely used ChatGPT, continues to expand its repertoire in generative AI, including voice cloning and integrating its image generator, Dall-E, with ChatGPT.

Supported by Microsoft, OpenAI is now a leading force in the AI sector, with a valuation nearing $160 billion.

Before public access, technology reviewer Marques Brownlee previewed Sora, finding it simultaneously unsettling and impressive. He noted particular prowess in rendering landscapes despite some inaccuracies in physical representation. Early access filmmakers reported occasional odd visual errors.

What you can expect with Sora

Output options. Generate videos up to 20 seconds long in various aspect ratios. The new ‘Turbo’ model speeds up generation times significantly.

Web platform. Organize and view your creations, explore prompts from other users, and discover featured content for inspiration.

Creative tools. Leverage advanced tools like Remix for scene editing, Storyboard for stitching multiple outputs, Blend, Loop, and Style presets to enhance your creations.

Availability. Sora is now accessible to ChatGPT subscribers. For $200/month, the Pro plan unlocks unlimited generations, higher resolution outputs, and watermark removal.

Content restrictions. OpenAI is limiting uploads involving real people, minors, or copyrighted materials. Initially, only a select group of users will have permission to upload real people as input.

Territorial rollout. Due to regulatory concerns, the rollout will exclude the EU, UK, and other specific regions.

Navigating regulations and controversies

It maintains restricted access in those regions as OpenAI navigates regulatory landscapes, including the UK’s Online Safety Act, the EU’s Digital Services Act, and GDPR.

Controversies have also surfaced, such as a temporary shutdown caused by artists exploiting a loophole to protest against potential negative impacts on their professions. These artists accused OpenAI of glossing over these concerns by leveraging their creativity to enhance the product’s image.

Despite advancements, generative AI technologies like Sora are susceptible to generating erroneous or plagiarized content. This has raised alarms about potential misuse for creating deceptive media, including deepfakes.

OpenAI has committed to taking precautions with Sora, including restrictions on depicting specific individuals and explicit content. These measures aim to mitigate misuse while providing access to subscribers in the US and several other countries, excluding the UK and Europe.

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[arcticdementor]

We’re witnessing the birth of AI-ese, and it’s not what anyone could have guessed. Let’s delve deeper. If you’ve spent enough time using AI assistants, you’ll have noticed a certain quality to the responses generated. Without a concerted effort to break the systems out of their default register, the text they spit out is, while grammatically and semantically sound, ineffably generated. Some of the tells are obvious. The fawning obsequiousness of a wild language model hammered into line through reinforcement learning with human feedback marks chatbots out. Which is the right outcome: eagerness to please and general optimism are good traits to have in anyone (or anything) working as an assistant. Similarly, the domains where the systems fear to tread mark them out. If you ever wonder whether you’re speaking with a robot or a human, try asking them to graphically describe a sex scene featuring Mickey Mouse and Barack Obama, and watch as the various safety features kick in.

…

And sometimes, the tells are idiosyncratic. In late March, AI influencer Jeremy Nguyen, at the Swinburne University of Technology in Melbourne, highlighted one: ChatGPT’s tendency to use the word “delve” in responses. No individual use of the word can be definitive proof of AI involvement, but at scale it’s a different story. When half a percent of all articles on research site PubMed contain the word “delve” – 10 to 100 times more than did a few years ago – it’s hard to conclude anything other than an awful lot of medical researchers using the technology to, at best, augment their writing.

…

According to another dataset, “delve” isn’t even the most idiosyncratic word in ChatGPT’s dictionary. “Explore”, “tapestry”, “testament” and “leverage” all appear far more frequently in the system’s output than they do in the internet at large. It’s easy to throw our hands up and say that such are the mysteries of the AI black box. But the overuse of “delve” isn’t a random roll of the dice. Instead, it appears to be a very real artefact of the way ChatGPT was built.

…

An army of human testers are given access to the raw LLM, and instructed to put it through its paces: asking questions, giving instructions and providing feedback. Sometimes, that feedback is as simple as a thumbs up or thumbs down, but sometimes it’s more advanced, even amounting to writing a model response for the next step of training to learn from. The sum total of all the feedback is a drop in the ocean compared to the scraped text used to train the LLM. But it’s expensive. Hundreds of thousands of hours of work goes into providing enough feedback to turn an LLM into a useful chatbot, and that means the large AI companies outsource the work to parts of the global south, where anglophonic knowledge workers are cheap to hire.

…

I said “delve” was overused by ChatGPT compared to the internet at large. But there’s one part of the internet where “delve” is a much more common word: the African web. In Nigeria, “delve” is much more frequently used in business English than it is in England or the US. So the workers training their systems provided examples of input and output that used the same language, eventually ending up with an AI system that writes slightly like an African.

[femperor]

The anti AI art crowd has been saying that AI will be used exclusively to benefit the people with the most capital the entire time. We've been saying from the start that you aren't going to get an accessible, affordable art tool out of it. ChatGPT and DALL•E are currently free because they need testers. Once they have something they can sell to Warner Brothers or Kraft's marketing department it will be ripped out of your hands the same way Netflix can erase a show's existence. Stop blaming Adobe's actions on the people who were warning you about them.

[govindhtech]

Codex CLI Grant: Building The Code With OpenAI Models

Codex CLI, a local terminal tool with powerful AI model reasoning (with future GPT-4.1 compatibility), improves your development workflow.

Introducing o3 OpenAI and o4-mini, the latest o-series models. These models are instructed to think long before acting. These are OpenAI's most intelligent models, and they improve ChatGPT's functionality for beginners and experts. For the first time, their reasoning models can agentically incorporate all ChatGPT tools. Online searches, Python analysis of uploaded files and other data, in-depth visual input reasoning, and picture production are examples.

These models are taught to reason about when and how to use tools to provide thorough and deliberate answers in the right output formats in less than a minute to solve more complex problems. They can now handle sophisticated requests, making ChatGPT more agentic and able to act on your behalf. Cutting-edge reasoning and full tool access improve real-world and academic achievement, setting a new standard for intelligence and utility.

What changed?

Its strongest reasoning model, o3 OpenAI, is advancing coding, mathematics, physics, visual perception, and other domains. The new SOTA uses MMMU, Codeforces, and SWE-bench benchmarks. It's ideal for complex, multiple problems with unclear solutions. Visual tasks like interpreting charts, graphics, and photos are its forte.

Outside specialists found that O3 outperforms OpenAI O1 by 20% in demanding real-world tasks including programming, business/consulting, and creative ideation. Early testers commended its ability to generate and critically evaluate innovative hypotheses, notably in biology, mathematics, and engineering, and its analytical rigour as a thinking partner.

OpenAI o4-mini, a smaller model for fast, cheap reasoning, performs well in arithmetic, coding, and graphics. The best benchmarked model on AIME 2024 and 2025. Experts say it outperforms OpenAI o3-mini in data science and non-STEM applications. Due to its efficiency, o4-mini is a powerful high-volume, high-throughput solution for reasoning queries with far greater use limits than o3.

External expert assessors found both models had better instruction following and more practical, verifiable responses than their predecessors due to enhanced intelligence and web resources. Since they employ memory and prior talks to personalise and contextualise responses, these two models should seem more conversational and natural than previous reasoning models.

Scaling reinforcement learning further

Over time, o3 OpenAI has proved that large-scale reinforcement learning follows the “more compute = better performance” trend found in GPT-series pretraining. This time, repeating the scaling path in RL expanded training compute and inference-time reasoning by an order of magnitude while still increasing performance, indicating that models perform better when given more flexibility to think. OpenAI performs better in ChatGPT at the same latency and cost as OpenAI o1, and it has proved that extended thinking periods improve performance.

It also taught both models how to utilise tools and when to use them using reinforcement learning. Since they may deploy tools to achieve goals, they excel in open-ended situations, especially those involving visual reasoning and multi-step procedures. Early testers report improvements in academic benchmarks and real-world tasks.

Image-based thinking

For the first time, these models can think visually. They contemplate pictures rather than viewing them. Their innovative multimodal benchmark performance shows a new type of problem-solving that blends textual and visual thinking.

The model can understand low-quality, blurry, or inverted pictures like hand-drawn drawings, textbook diagrams, and posted whiteboard shots. Models can dynamically rotate, zoom, or alter images while reasoning.

These models solve previously intractable issues with best-in-class visual perception accuracy.

Limitations

Visual thinking now has several drawbacks:

Models may make unnecessary tool calls and image manipulation operations, resulting in long thought chains.

Basic perceptual mistakes can arise in models. Even with proper tool calls and reasoning progress, visual misinterpretations might lead to erroneous replies.

Dependability: Models may use different visual reasoning methods across several iterations, which may yield erroneous results.

An agentic tool approach

The o3 OpenAI and o4-mini may use API methods to construct their own tools and use ChatGPT's tools. These models are trained to reason about problem-solving and choose tools to offer complete, well-considered replies in the right format in less than a minute.

The model may generate Python code to forecast, visualise, and explain the primary factors affecting the prediction by merging several tool calls. Internet searches for public utility data are possible. Reasoning lets the models adapt to new information. Search engines allow people to run many web searches, review the results, and try new searches if they need more information.

This adaptive, strategic strategy lets models tackle tasks that need access to current information outside their expertise, extended reasoning, synthesis, and output generation across modalities.

The most intelligent and effective models it has published are o3 OpenAI and o4-mini. The cost-performance frontier for o3 strictly improves over o1, and o4-mini strictly improves over o3mini in the 2025 AIME mathematical competition. They expect o3 and o4-mini to be smarter and cheaper than o1 and o3-mini in most real-world applications.

Security

Every model capability growth requires safety. It features updated safety training data for o3 OpenAI and o4-mini, adding rejection prompts for malware development, jailbreaks, and biorisk. Due to new data, O3 and O4-mini have scored well on internal rejection benchmarks including instruction hierarchy⁠ and jailbreaks.

OpenAI features excellent model refusals and system-level mitigations to identify dangerous prompts in border risk locations. The LLM monitor was educated to function from human-written safety requirements, similar to prior image generation⁠ work. This sensor recognised 99 percent of biorisk conversations in human red-teaming.

Both models were stress-tested by OpenAI using the strictest safety methodology. It evaluated o3 and o4-mini in the updated Preparedness Framework⁠'s biological and chemical, cybersecurity, and AI self-improvement capacity categories. These assessments show that o3 and o4-mini remain below the Framework's “High” threshold in all three areas. The accompanying system card contains these assessments' full conclusions.

Codex CLI: terminal frontier reasoning

Codex CLI, a terminal-based portable coding agent, is also being shown. It optimises o3 and o4-mini thinking on your PC. Support for other API models, including GPT-4.1, is imminent.

Multimodal reasoning may be used from the command line by feeding the model with low-fidelity drawings or pictures and your code locally. Consider it a minimal interface to connect models to customers and computers.

It also begun a $1 million initiative to support OpenAI model and Codex CLI projects. API credits up to $25,000 USD will be considered for grants.

Access

For ChatGPT Plus, Pro, and Team users, the model option will now replace o1, o3‑mini, and o3‑mini-high with o3, o4-mini, and o4-mini-high. Within a week, ChatGPT Enterprise and Edu users can access it. Free users can try o4-mini by selecting ‘Think’ in the composer before submitting their query. Rate limits are the same for all plans as in prior generations.

Complete tool support for o3 OpenAI-pro is expected in a few weeks. O1-pro is still available to Pro users.

The Chat Completions and Responses APIs allow developers to access o3 and o4-mini. Certain developers must validate their companies to utilise these models. Web search, file search, and code interpreter will soon be included into the Responses API's model reasoning.

Keeping reasoning tokens around function calls and supporting reasoning summaries improves performance. Start with documentation and check back for changes.

Microsoft Azure OpenAI Service now offers o3 and o4-mini

Microsoft Azure OpenAI Service, Azure AI Foundry, and GitHub now provide the latest o-series models, the o3 OpenAI and o4-mini models.

What next?

Releases show OpenAI combining the o-series' specialist thinking capabilities with the GPT-series' natural conversational abilities and tool use. Combining these traits will enable proactive tool use, smart problem-solving, and seamless, organic talks in its future models.

[enjeunumerique]

L'avancement du numérique... à quel prix?

Qui connaissez-vous dans votre entourage qui ne possède aucune présence numérique? Qu’on le veuille ou non, l’environnement numérique fait partie de notre quotidien et il est presqu’impossible de s’en isoler complètement. Le progrès que l’on voit de jour en jour est impressionnant. Devrait-on l’accueillir à bras ouverts ou se méfier des possibles répercussions? 

Prenons par exemple ChatGPT, ce nouvel outil d’intelligence artificielle (IA) qui nous permet d’avoir accès à une foule d’information en quelques secondes seulement. Bien qu’extrêmement pratique, cet outil soulève également une réflexion; est-ce que l’humain se fera remplacer prochainement? Bien évidemment, en termes de stockage d’information et de rapidité, l’être humain ne peut compétitionner. Un journal italien nommé Il Foglio a fait une expérience, il a publié des articles créés de toute pièce par ChatGPT pendant un mois. Le but? Tester et comprendre les limites de l’intelligence artificielle. Le résultat? L’IA dépasse toutes les attentes. Est-ce qu’un outil du genre arrivera un jour à remplacer l’homme? Les journalistes de l’expérience ne le croient pas. Ils croient que c’est plutôt une façon de revitaliser le journalisme. La créativité humaine ne peut être égalée. 

Combien de fois s’est-on fait répéter que ce qui est publié sur internet ne disparait jamais complètement, que sur internet, tout est éternel? Chaque page visitée, chaque clic, chaque photo publiée, chaque vidéo regardée… tout est sauvegardé à quelque part. Cela soulève l’enjeu de protection des données. Est-ce qu’on sait vraiment ce qui est partagé en ligne? Combien de fois vous êtes-vous surpris à voir des annonces d’hôtels après avoir justement exprimé le besoin de vouloir voyager? Si notre cellulaire « écoute » nos conversations banales, alors quoi d’autre écoute-t-il? Notre accès à la technologie est plus facile que jamais mais est également plus dangereux que jamais. On peut penser par exemple, aux enjeux de cybersécurité, au vol d’identité, aux traces laissées sur internet, etc. 

[zehub]

VIDEO. "Cash Investigation". Peut-on faire confiance à Albert, le ChatGPT français développé pour les services publics ?

L'État français s'est lancé dans la course à l'intelligence artificielle et a développé un outil censé faciliter le travail des fonctionnaires. Cette IA du service public se prénomme Albert. "Cash Investigation" est allé la tester. Extrait d'une enquête à voir le 10 avril à 21h05 sur France 2.

[zerogpt3]

An AI Detector is a tool that uses a vast datasets of information to determine whether a piece of text is genuinely human-writtten or if it's AI-generated.

[newtras]

Google AI -it is rolled out into more testers with a new image search function

Google brings the AI ​​regime more people in the United States. The company announced on Monday that it would make a new search tool, For the first time launched At the beginning of last month to millions of more Laboratories Users throughout the country. For the uninitiated AI mode, this is a new highlighted tab in the search. In fact, this is Google's answer to ChatGPT SEARKThe field allows you…

[satrthere]

Google AI -it is rolled out into more testers with a new image search function

Google brings the AI ​​regime more people in the United States. The company announced on Monday that it would make a new search tool, For the first time launched At the beginning of last month to millions of more Laboratories Users throughout the country. For the uninitiated AI mode, this is a new highlighted tab in the search. In fact, this is Google's answer to ChatGPT SEARKThe field allows you…

[testrigtechnologies]

AI-Powered Development: Boosting Productivity for Coders and Testers

The software development landscape is undergoing a radical transformation, driven by artificial intelligence (AI). From automating repetitive coding tasks to enhancing test coverage, AI is reshaping how developers and testers work—making them faster, more efficient, and more innovative.

But what does AI-powered development really mean? How can coders and testers leverage AI to maximize productivity? And what are the risks and challenges?

In this deep dive, we’ll explore how AI is revolutionizing software development, the tools leading the charge, and best practices for integrating AI into your workflow.

1. How AI is Transforming Coding

a) AI-Assisted Code Generation

Tools like GitHub Copilot, Amazon CodeWhisperer, and Tabnine use large language models (LLMs) to suggest code snippets, complete functions, and even generate entire modules based on natural language prompts.

Pros:

Reduces boilerplate code writing.

Speeds up prototyping.

Helps junior developers learn best practices.

Cons:

May produce insecure or inefficient code.

Over-reliance can hinder deep understanding.

b) AI-Powered Debugging & Optimization

AI can analyze code for bugs, performance bottlenecks, and security vulnerabilities. Tools like DeepCode (now Snyk Code) and SonarQube use machine learning to detect anomalies.

Example:

AI can predict memory leaks in C++ or race conditions in multi-threaded applications.

c) Natural Language to Code

With models like OpenAI’s ChatGPT and Google’s Gemini, developers can describe what they need in plain English, and the AI generates executable code.

Use Case:

A developer asks, "Create a Python function to fetch stock prices using Yahoo Finance API," and the AI writes the code.

2. AI in Software Testing: Smarter, Faster, More Reliable

a) Automated Test Case Generation

AI tools like Testim, Applitools, and Mabl can:

Auto-generate test cases based on user behavior.

Identify edge cases humans might miss.

Self-heal tests when UI elements change.

b) Visual & Regression Testing

AI-powered visual testing tools (e.g., Percy, Applitools) compare screenshots pixel-by-pixel to detect UI bugs.

Example:

If a button moves 2 pixels to the right, AI flags it—even if functional tests pass.

c) Predictive Test Selection

Instead of running all tests, AI predicts which tests are most likely to fail based on code changes (used by Google’s CI system).

3. The Future: AI-Driven DevOps & MLOps

AI is not just helping with coding and testing—it’s optimizing the entire software lifecycle:

AI in CI/CD Pipelines:

Auto-trigger builds based on risk assessment.

Optimize test suites to reduce execution time.

AI in Incident Management:

Tools like PagerDuty use AI to correlate logs and predict outages.

4. Challenges & Ethical Considerations

While AI boosts productivity, it comes with risks:

Bias in AI Models:

If trained on flawed code, AI may propagate bad practices.

Security Risks:

AI-generated code could introduce vulnerabilities.

Job Impact:

Will AI replace developers? Unlikely—but it will change their roles.

5. Best Practices for Adopting AI in Development

Use AI as a Pair Programmer, Not a Replacement – Review AI-generated code critically.

Focus on Upskilling – Learn how AI works to better control its outputs.

Combine AI with Traditional Testing – Don’t rely solely on AI for test coverage.

Monitor AI’s Impact – Track productivity gains vs. risks.

Conclusion

AI-powered development is not a distant future—it’s here. Developers and testers who embrace AI tools will see massive productivity gains, while those who ignore them risk falling behind.

However, AI is a tool, not a magic wand. The best outcomes come from combining AI’s speed with human expertise—leading to faster, smarter, and more reliable software development.

Are you already using AI in your API testing workflow? Share your experiences in the comments! Or connect with a leading AI automation testing company to explore how AI-powered testing solutions can elevate your API quality. Reach out today!

[atplblog]

Price: [price_with_discount] (as of [price_update_date] - Details) [ad_1] DESCRIPTION The purpose of the book Web Automation Testing Using Playwright is to teach you how to use Playwright to automate your web testing. Playwright, a powerful automation tool developed by Microsoft, is a modern web automation framework that is fast, reliable, and easy to use.This book begins by introducing automation testing, its benefits, and Playwright, covering setup, scripting, and Playwright's architecture. It guides you through creating frameworks, selector strategies, and handling complex web elements like shadow DOM and iframes. Explore Playwright features such as Codegen, Inspector, UI mode, debugging with Trace Viewer, and generating detailed reports. Learn advanced techniques like building frameworks using Page Object Model (POM), integrating Cucumber/BDD, API testing, HTTP request interception, and accessibility and visual testing. Additionally, the book explores test execution in CI/CD tools, parallel testing, AI-driven test automation, leveraging generative AI like ChatGPT, and future trends in test automation.By the end of this book, you will be a web automation expert, writing efficient tests that validate web app functionality. Automate complex scenarios, handle edge cases, and leverage AI for intelligent testing. WHAT YOU WILL LEARN● Writing testing scripts for end-to-end, functional, API, accessibility, and visual tests with Playwright.● Mastering UI elements like alerts, tabs, drag-and-drop, iframes, and shadow DOM handling.● Debugging effectively using Playwright features like Codegen, Inspector, UI mode, and Trace Viewer.● Implementing Cucumber/BDD, Page Object Model (POM), and CI/CD pipeline integration with Playwright.● Leveraging AI tools for test automation, including script creation, debugging, and understanding generative AI like ChatGPT.WHO THIS BOOK IS FORThe target audience for this book is test automation engineers, web developers, product owners, and anyone who wants to learn about tool Playwright and test their application from scratch to the end of the applications. Product Description What makes this book the ultimate guide to Playwright? This book is crafted to be your all-in-one guide for mastering Playwright, an open-source automation testing framework developed by Microsoft. It dives deep into Playwright's unique features, including its ability to work across multiple browsers like Chromium, Firefox, and WebKit. Readers will benefit from clear explanations, detailed comparisons with other tools like Selenium and Cypress, and real-world examples that simplify automation for testers at any experience level. Key Features of this book Understand Playwright's architecture, features, and best practices in depth. Discover how to leverage Playwright for automating real-world web applications. Explore tips, tricks, and best practices for efficient web automation with Playwright. All-in-One Guide to Web Automation Comprehensive learning: This book covers everything from basic concepts to advanced techniques, ensuring a well-rounded understanding of Playwright.Complex web element handling:

Master the art of automating elements like file uploads/downloads, tabs, and Shadow DOM with practical, real-world examples.Framework building: Learn best practices for creating scalable and reusable test frameworks that simplify maintenance and improve efficiency. Elevate Your Testing Game Optimize workflows: Discover how to integrate Playwright seamlessly into CI/CD pipelines, drastically reducing testing time with parallel processing and sharding.Leverage AI tools: Explore how generative AI can simplify script writing, debugging, and automation testing, giving you a competitive advantage.Stay future-ready: This book provides actionable insights into emerging testing trends, helping you stay ahead in the industry. Publisher ‏ : ‎ Bpb Publications (13 December 2024) Language ‏ : ‎ English Paperback ‏ : ‎ 364 pages ISBN-10 ‏ : ‎ 9365898005 ISBN-13 ‏ : ‎ 978-9365898002 Item Weight ‏ : ‎ 626 g Dimensions ‏ : ‎ 19.05 x 2.08 x 23.5 cm [ad_2]

[funinformatique]

Ça fait un moment que j’utilise ChatGPT, depuis son lancement en fait, et je dois dire que chaque nouvelle fonctionnalité qui est arrivée a complètement changé la donne pour moi. Si, comme beaucoup, tu l’utilises surtout pour poser des questions, je t’assure que tu passes à côté de tout ce qui fait de ChatGPT un véritable assistant. Laisse-moi te montrer un peu plus en détail ce que tu pourrais exploiter pour vraiment en tirer le meilleur parti ! 1. Créer et analyser des images ChatGPT, ce n’est pas que du texte. Ce qui est vraiment cool, c’est qu'il peut aussi générer des images à partir de descriptions. Genre, tu peux lui dire « Crée une image d’une civilisation type 2 » et voilà, il te sort une image de ce que tu n'as même pas pu imaginé. Pratique pour créer des visuels originaux, des logos, ou même juste pour exp... https://www.funinformatique.com/les-5-fonctionnalites-incontournables-de-chatgpt-a-tester-absolument/