Chrome-Android will be one platform

July 15, 2025 in Technology

Chrome-Android will be one platform

Google has announced to merge Chrome operating system and Android into one platform. The news of this plan came out in November 2024, and now the company has publicly accepted it.

July 15, 2025 in Technology

Those typing will be counted

WhatsApp has added a new update to its Android app. In version 2.25.20.17, the new update under the Google Play Beta program will count the people typing in the group bat. This will make it easier for users to decide whether to participate in this chat or not.

July 15, 2025 in Technology

Trial reels feature for those with thousand followers

Instagram has made its trial reels feature available to all those creators who have at least 1,000 followers and whose account is public. With this, it is possible to increase the rich by using old content.

July 15, 2025 in Technology

Humanoid robots are managing hotels

Tokyo, Agency. An Argentine social media influencer was surprised when she arrived at a hotel in Japan. Actually, robots were managing all the activities from check-in to check-out. There was no human present. A humanoid robot welcomed her at the reception.

The influencer posted a video of this robot-run hotel on social media which went viral. The hotel chain started in Nagasaki in 2015. Now it has reached Seoul and New York.

July 15, 2025 in Technology

how chatgpt work

ChatGPT works by using a type of artificial intelligence called a large language model (LLM), specifically based on the GPT (Generative Pre-trained Transformer) architecture developed by OpenAI. Here’s a simple breakdown of how it works:

1. Training on Text Data

ChatGPT was trained on a massive amount of text from books, websites, conversations, and more. This process includes:

• Reading billions of words to learn grammar, facts, reasoning patterns, and styles of writing.
• Learning by prediction: The model’s core task during training was to predict the next word in a sentence. For example, given “The sky is”, it learns to likely say “blue”.

2. Transformer Architecture

GPT uses a machine learning architecture called a transformer, which excels at handling sequences of data—like words in a sentence. It understands context by:

• Using attention mechanisms to weigh the importance of each word in a sentence.
• Capturing complex relationships between words, even if they are far apart.

3. Fine-Tuning with Human Feedback

After the initial training, ChatGPT was fine-tuned with Reinforcement Learning from Human Feedback (RLHF). This involves:

• Showing the model different responses.
• Asking human reviewers to rank which response is better.
• Teaching the model to prefer helpful, honest, and safe responses.

4. Generating Responses

When you type a question:

1. Your input is tokenized (split into chunks).
2. The model uses its learned patterns to predict the most likely next words.
3. It continues predicting word by word until the response is complete.

The result is a natural-sounding reply that’s based on patterns it has seen during training—not a lookup or copy-paste.

Important Notes

• It doesn’t “understand” like a human. It doesn’t have beliefs, emotions, or consciousness.
• It can make mistakes or “hallucinate” facts.
• It doesn’t access the internet in real time (unless tools are enabled).

July 15, 2025 in Technology

how chatgpt work

ChatGPT said:

ChatGPT works by using a large language model (LLM) — a kind of artificial intelligence trained to understand and generate human-like text. Here’s a simple explanation of how it works:

1. What It’s Built On

ChatGPT is based on a neural network architecture called Transformer, introduced by Google in 2017. The specific version used is called GPT (Generative Pretrained Transformer).

2. Two Main Phases

a. Pretraining

• ChatGPT is trained on a massive amount of text from books, websites, articles, and more.
• It learns language patterns by predicting the next word in a sentence, over and over again.
• For example: Given the text “The cat sat on the”, it might learn that “mat” is a likely next word.

b. Fine-Tuning (RLHF)

• It is then fine-tuned using a technique called Reinforcement Learning from Human Feedback (RLHF).
• Humans review model responses and score them to teach the model how to be more helpful, safe, and conversational.

3. How It Answers You

When you type a question:

1. Your input is converted into tokens (small text chunks).
2. The model processes the tokens using its internal knowledge and patterns it has learned.
3. It generates a response one token at a time, choosing the most likely next word at each step.
4. The result is sent back to you as a full answer.

4. What’s Inside ChatGPT?

• Parameters: These are like brain cells. GPT-4 has trillions of them, helping it understand complex language.
• Training Data: It was trained on publicly available data and licensed datasets — but not real-time data or private chats.
• No Memory (unless enabled): Normally, ChatGPT doesn’t remember past chats, unless memory is turned on.

5. What It Can and Can’t Do

✅ Can:

• Write code, stories, and essays
• Translate languages
• Solve math problems
• Answer questions based on learned knowledge (up to 2024 for GPT-4)

❌ Can’t:

• Access the internet (in most cases)
• Know anything you haven’t told it or that it wasn’t trained on
• Have real emotions or consciousness

July 15, 2025 in Technology

how chatgpt work

ChatGPT said:

ChatGPT works by using artificial intelligence (AI) and machine learning to understand and generate human-like text. Here’s a simple breakdown of how it works:

1. Trained on Large Amounts of Data

• ChatGPT is built on a language model called GPT (Generative Pre-trained Transformer).
• It was trained using billions of words from books, websites, articles, and more (until its knowledge cutoff: June 2024, for the current version you’re using).
• It learned patterns of grammar, meaning, reasoning, and context—not by memorizing answers, but by learning how language works.

2. Transformer Architecture

• It uses a model architecture called a Transformer, which is good at handling long-range dependencies in text.
• The Transformer uses mechanisms like attention to focus on relevant parts of the input while generating responses.

3. Input → Processing → Output

1. You type a message.
2. ChatGPT converts your input into tokens (chunks of words/letters).
3. It then predicts what should come next in the response, one token at a time, using probability.
4. This prediction continues until a full answer is formed.

4. Fine-tuning & Safety

• After pretraining, it was fine-tuned using human feedback (called RLHF: Reinforcement Learning with Human Feedback).
• This makes it better at being helpful, safe, and aligned with user intentions.
• Filters are also in place to avoid harmful, biased, or inappropriate responses.

5. No Internet Access (During Use)

• ChatGPT doesn’t “look things up” live on the internet.
• It generates answers from the patterns and knowledge it has already learned during training.

Summary

July 15, 2025 in Technology

How ChatGPT works

ChatGPT is a cutting-edge artificial intelligence (AI) chatbot developed by OpenAI. It uses natural language processing (NLP) to generate human-like responses to a wide array of user prompts. 

Here’s a simplified explanation of the process

• 1. Data Collection & Processing: ChatGPT is trained on an enormous dataset of text and code gathered from books, articles, websites, and other online content. Before training, this data undergoes cleaning, removing irrelevant information, and is broken down into tokens (numerical representations) that the model can understand.
• 2. Model Training: ChatGPT utilizes a two-stage training approach.
  • Pre-training: The model learns language patterns, grammar, and world knowledge from the vast dataset through unsupervised learning. It learns by predicting the next word in a sentence.
  • Fine-tuning: After pre-training, the model undergoes fine-tuning on conversational datasets. This phase often involves Reinforcement Learning from Human Feedback (RLHF) where human trainers rank the model’s responses, helping it learn to generate more appropriate and contextually accurate replies.
• 3. Transformer Architecture: At its heart, ChatGPT utilizes a powerful neural network architecture called the Transformer. Unlike older models that processed text sequentially, Transformers can process and evaluate each word in a sentence simultaneously, thanks to a mechanism called self-attention. This allows ChatGPT to better grasp context and generate more intelligent and coherent responses.
• 4. Natural Language Processing (NLP): NLP is crucial for ChatGPT’s ability to understand, interpret, and generate human language. It involves:
  • Natural Language Understanding (NLU): Breaking down and interpreting the meaning and intent behind your input.
  • Natural Language Generation (NLG): Crafting the response in a natural, human-like way.
• 5. Response Generation: When you provide a prompt, ChatGPT converts it into tokens, processes it through its Transformer layers, and generates a response one token (roughly a word or part of a word) at a time, predicting the most probable next token based on its training and fine-tuning. It’s a bit like a highly advanced version of predictive text. 

Key takeaways

• ChatGPT learns from vast amounts of existing text and code.
• It’s not “thinking” or “understanding” in a human sense but generating responses based on learned patterns and probabilities.
• The Transformer architecture with its self-attention mechanism is crucial for its contextual understanding and generation of coherent text.
• Human feedback plays a vital role in fine-tuning the model for better performance and alignment with human expectations. 

In essence, ChatGPT is a sophisticated language model that leverages advanced AI techniques to create engaging and informative conversational experiences.

July 10, 2025 in Technology

Artificial solar eclipse will reveal the secrets of the sun

London, Agency. To reveal the secrets of the sun, an artificial solar eclipse will be created in space. Scientists have named it Artificial Solar Eclipse Mission.

This mission has been sent to the European Space Agency. If approved, it can be launched between 2026 and 2028. British scientists will send a small satellite into space under the mission. This satellite will repeatedly create artificial solar eclipses in space using the shadow of the moon. The satellite will be placed in such an orbit where it can pass through the shadow of the moon. When this happens, the innermost part of the sun will be visible as it happens in a real solar eclipse. This satellite will create conditions like a solar eclipse for 48 minutes at a time. Benefits of artificial solar eclipse You will be able to understand the solar flames and space weather of the sun well This information will help in protecting satellites and weather The satellite can take many high quality pictures which is 10 times longer than the solar eclipse of the earth. With this, the Sun can be observed closely and the secrets of the Sun will be revealed quickly and new studies will be conducted.

सूरज के राज खोलेगा कृत्रिम सूर्यग्रहण

लंदन, एजेंसी। सूरज के राज खोलने र के लिए अंतरिक्ष में कृत्रिम सूर्यग्रहण बनाया जाएगा। वैज्ञानिकों ने इसका नाम आर्टिफिशियल सोलर एकलिप्स मिशन रखा है।

इस मिशन को यूरोपियन स्पेस एजेंसी को भेजा गया है। अगर मंजूरी मिल गई, तो इसे 2026 से 2028 के बीच लॉन्च किया जा सकता है। ब्रिटेन के वैज्ञानिक मिशन के तहत एक छोटा उपग्रह स्पेस में भेजेंगे। यह उपग्रह चांद की छाया को इस्तेमाल करके बार-बार स्पेस में कृत्रिम सूर्यग्रहण बनाएगा। उपग्रह को ऐसी कक्षा में रखा जाएगा जहां वह चांद की छाया से होकर गुजर सके। जबऐसा होगा तो सूरज का सबसे अंदर वाला भाग दिखाई देगा जैसे असलो सूर्यग्रहण में होता है। ये उपग्रह एक बार में 48 मिनट तक सूर्यग्रहण जैसे हालात बना ई कृत्रिम सूर्यग्रहण से फायदे सूरज के सौर लपटों और स्पेस वेदर को अच्छे से समझ सकेंगे ये जानकारी सैटेलाइट्स और मौसम को बचाने में मदद करेगी उपग्रह के साथ कई हाई क्वालिटी तस्वीरें लेगा सकता है जो धरती के सूर्यग्रहण से 10 गुना ज्यादा समय है। इससे सूरज को करीब से देखा जा सकेगा और इससे सूरज के राज जल्दी खुलेंगे और नए अध्ययन होंगे।

July 10, 2025 in Technology

YouTube is bringing AI tool ‘Ask Studio’

YouTube is testing a new AI tool ‘Ask Studio’.

It focuses on channel analytics within YouTube Studio. This tool will analyze the channel statistics. Also give a summary of the user’s performance.