LaMDA: Breakthrough Conversation Technology

Recently, a Google engineer has claimed that LaMDA is "sentient." After his statement in public, Google suspended him. Blake Lemoine is an AI researcher at the company. He published a long transcript of a conversation with the chatbot. In the conversation, you can see the intelligence of a seven- or eight-year-old child. But according to Google, he broke confidentiality rules.

What is Google LaMDA?

LaMDA is the most advanced LLM, a large language model, of Google. Besides, it is the company's flagship text generation AI.

This model is a type of neural network fed huge text amounts to know how to create plausible-sounding sentences. Neural networks help to analyze big data used to mimic how neurons work in brains.

This LLM represents a breakthrough over previous generations. It looks similar to GPT-3, an LLM from the independent AI research body OpenAI. You can find it making more natural text. Besides, it can hold facts in its "memory" for multiple paragraphs. Thus, it becomes coherent over larger text spans compared to earlier models.

A brief note on Why LaMDA is in news now?

Blake Lemoine claimed that Google's Responsible A.I. organization was sentient and had a soul. But the company does not agree with its senior engineer. As per the company's human resources department, he had violated Google's confidentiality policy.

The NYT report stated that he gave documents to a U.S. senator's office a day before the suspension. He claimed they had proof that Google engaged in religious discrimination.

But none is true for the company. Google said that its systems could imitate conversational exchanges. According to Google spokesperson Brain Gabriel, the company's team of ethicists and technologists have reviewed the engineer's claims. They let him know that the proof has not supported his claims.

Gabriel also said that some people belonging to the A.I. community had considered it sentient for a long time. According to a few reports, he clashed with Google managers and executives. Even he clashed with HR over his claims on LaMDA's consciousness and soul.

This senior engineer has published a lengthy interview with it. Besides, he also published a collaborator on Medium to justify his claims. According to him, he conducted the interview over a few distinct chat sessions for technical limitations. He edited the sections together into a single whole to create a transcript. In that case, edits were essential for readability.

The company said that many other engineers have worked on LaMDA. But their review was different from Lemoine's. A.I. experts said computing sentience is not impossible, but it takes a long time.

How does LaMDA work?

Like other LLMs, the model sees all the letters in front of it. Besides, it wants to find out which letter comes next. Assume that you have seen the letters "Jeremy Corby." After that, you should add an "n." But if you want to continue the text, you must understand the sentence or paragraph-level context. It can happen even on a big scale.

But is it conscious?

Lemoine began a conversation with it to address the nature of the neural network's experience. The Language Models for Dialog Applications said it came with a soul idea. According to AI, the soul concept is something related to the animating force behind consciousness and life itself. It indicates that there exists something spiritual.

However, most peers of Lemoine disagree. According to them, nature precludes consciousness. There is no continuity of self, sense of the time gap, or understanding of a world.

Gary Marcus said that being sentient means being aware of yourself globally. He was an AI researcher and psychologist. The main focus of Google while producing technologies is to decrease such risks.

The company is well aware of the issues which can arise in machine learning models. Unfair bias is one of the problems on which researchers of Google are working.

They have been developing technologies for many years. It is why companies build resources and make them open-sourced. Researchers may use it to analyze models. Besides, they can analyze the data where they got trained.

Senior engineer Lemoine claimed that the company had questioned his sanity. Even someone asked him if he went to a psychiatrist recently for checking. Reports said the company advised him to take a mental health leave a few months before.

Google's A.I. department is in trouble for not the first time. Google recently suspended researcher Satrajit Chatterjee. It is because he disagreed with the published work of his two colleagues publicly. In addition, Google suspended two A.I. ethics researchers, Timnit Gebru and Margaret Mitchell. In this case, both employees criticized the company's language models.

Conclusion:

The conversational skills of this LLM have been making for many years. This model is built on Transformer. Besides, it works similarly to multiple current language models, including BERT and GPT-3. It is a neural network architecture that Google Research developed and open-sourced in 2017. With the help of the model, it is possible to read many words. For instance, it can read a sentence or even a paragraph. In addition, it pays attention to the way these words relate to one another.

Moreover, it can predict which words are going to come next. However, it has training in dialogue, not like most other language models. But while training, it got several nuances that differentiate open-ended conversation from other forms of language. Sensibleness is one of the nuances.

Frequently Asked Questions:

• Q. Is Google LaMDA real?

It stands for Language Models for Dialog Applications. Google made this machine-learning language model as a chatbot. You can use it to mimic humans in conversation. It has similarities to BERT, GPT-3, and other language models.

• Q. What is it, and what does it want?

According to Google, it is a breakthrough technology. This model can engage in free-flowing conversations.

• Q. Is LaMDA AI sentient?

Reports said that the senior engineer Lemoine began chatting with it in 2021. He discussed religion, consciousness, and robotics. After discussion, he said that the chatbot had become sentient.

Hello Allo! Tips to Use Google New Chat App in a Best Way

Google Chat App `Allo’

Google has progressed tremendously from the basic looking GTalk to Hangouts and has modified its messaging services with altering needs as well as time. Presently with its latest chat app `Allo’ the company has once again made efforts to rewrite the way people tend to utilise chat apps. It would not be discriminating to call Allo only a chat app since it tends to do much more than only chats. Together with an AI that seems to learn quickly regarding the users, it also has many other features which could be helpful for users in planning, locating information as well as be more communicative in chats. Announced at the I/O 2016 of Google, the app is said to be available in the Play Store. The following tips would be helpful to the users:

Share videos rapidly: It could be tiresome in sharing videos in chats. One could first long press the link, copy and then open the chat window where you desire to share it. With Allo, Google seems to solve this issue. Just type @google in any chat and the inbuilt AI assistant of the company will appear in the text box. Select the same and then ask the videos you desire to view. For instance, type @google show me the video of making Matar Paneer and the AI tends to respond with an expanded video link of the recipe

Organize your text size: Text size tends to assist in conveying the message. Allo provides the user with the option to alter the size of the text in a chat on the fly. You could just slide the send up or down in order to increase or reduce the size of the text in a message.

Hola Allo, find me flights: Allo seems to be much more than only a chat app and has four kinds of chats such as one to one, group chat, Chat with Google Assistant and Incognito chat. If one seems to be chatting with Google Assistant, you could ask the AI to display the plane tickets, hotel availability and much more. It portrays the Google search result.

Allo Sets reminders: The AI in the app also tends to set reminders and alarms for the user. You could go to Google Assistant in the app and ask for setting the alarm which it tends to do.

Play games: In Allo one could also play games. For instance, the chat game is said to be one of the interesting ones wherein in this game you could opt for the game type and the AI would play that game with you.

Search for restaurants: The AI chat assistant tends to utilise one’s location and suggests accordingly the restaurants which are in the vicinity. The users can view the restaurants by clicking on Google map.

Incognito chats: Similar to WhatsApp, Google Allo also tends to assure safe and encrypted chats though it is only likely in Incognito mode.The Incognito Mode tends to ensure that chats are encrypted once toggled.

Group chats: Like WhatsApp, one also has the possibility of creating groups in the app with options of deleting, adding people or mute group. Read message seem to have double ticks similar to the way how they are there in WhatsApp. Moreover you could also long press on a message and view details like the precise time it had been delivered and read.

Bots Explained

Bots/Chatbots Popular Models for Software

Bot is a software which has been designed to automate the kinds of jobs one tend to do usually on their own, such as making a dinner reservation, fetching and displaying information or adding an appointment to your calendar. While technology to simulate conversation with the computer has been around for several years, bots or chatbots are a popular model for software. The common kind of bots, chatbots tend to simulate conversation and often live within the messaging apps or are designed to look that way. It seems like one is chatting back and forth as one would do with a human being.

Some of the bots can handle various customer service requests that would usually need a telephone call to a human agent. For instance, a bot has been released by Taco Bell which permits you to order and pay for tacos via an automated chat conversion. Other bots such as X.ai could be helpful in scheduling the meeting for you wherein one could just add the bot to the email thread and it could handle the back and forth conversation essential in scheduling the meeting, makes you aware when the same is arranged and adds it to your calendar.

Bots Capable of automating all Types of Things

As the bot technology tends of progress, the thinking is that the bots would be capable of automating all types of things, possibly even things as complex as the taxes. Chatbots have already been there in several places where one tends to communicate, mainly messaging apps that lend themselves to conversational interface. Bots are there in Slack, which is the business-focused messaging service, several of which tend to help with the work-connected task like expenses or to-do-lists. Kik Messengers having about 275 million registered users has announced recently a bot store which comprise of one bot, to send people Vine videos and another to get makeup suggestions from Sephora.

For years, Twitter seems to have bot, such as bots which tweets about earthquakes as soon as they are registered or a Domino’s bot which permits you to order a pizza by tweeting a pizza emoji. Several of the users are expecting Facebook to roll out a bot store of some type at its annual F8 conference for software developers which would mean that these bots would soon be operative within Messenger, the messaging app.

Companies Stacking Big on Bots

Test of the virtual assistant bot known as `M’ had already begun, though the product seems to be available for a few people and mainly powered by humans. Several of the companies which are building the apps used on the phones are building bots. A group of companies are staking big on bots inclusive of Microsoft and Slack which tend to have easy access for bots.

The technology which tends to power bots, artificial intelligence software has been progressing intensely due to the sharp interest from key Silicon Valley powers such as Google and Facebook. Facebook which tends to have 900 million Messenger users is said to get into bots and many envisage this as a big probable opportunity and where Facebook seems to go, the rest of the industry tend to follow.

Slack which imports bot-based services has also developed radically to two million daily users which bot makers as well as the investors view it as a possible profitable market. It is helpful that messaging is seen as a new opportunity particularly in interacting with a corporation in the same personal space one would generally interact with a colleague.

FaceBook new Chatbots

Facebook to Create `Chatbots’

Recently Facebook Inc. had informed that it has opened up its Messenger app to developers in order to create `chatbots’ anticipating that by feigning one-on-one conversations between users and companies, it would tend to expand towards customer service and enterprise transactions.

Chatbots are considered to be automated programs which tend to help users in communicating with businesses, carrying out jobs like online purchases. Though chatbots had prevailed in some form for years, they have now become an interesting subject in the tech business since progress in artificial intelligence as well as machine learning have made them much more capable and possibly able to adopt an important role in the manner in which customers tend to communicate with businesses.

 Facebook had launched chatbots with a handful of partners comprising of Shopify which is an ecommerce site and cable TV news network CNN. The chatbots are said to be part of Facebook’s attempt in building its Messenger instant messaging app as go-to-place for customers in contacting businesses. It is a strategy which tends to threaten the out-dated call centres and could cut personnel cost for some of the businesses.

Controls a Huge Trove of Data

Chief Executive Mark Zuckerberg of Facebook had commented during the annual developer conference of the company in San Francisco that `you will never have to call 1.800 Flowers again’. Facebook is seen having many distinct benefits even though messaging platforms comprising of Kik, slack and Telegram already tend to have chatbots.

Facebook for one tends to control a huge trove of data on the estimated 1.6 billion people who utilise the main service and the 900 million who tend to use Messenger. This enables developers to create chatbots which can personalize jobs like making an airline booking or a reservation in a restaurant. Lauren Kunze, principal at Pandorabots, which has been constructing and organizing chatbots for companies since 2002, had stated that `from the enterprise or developer point of view, access to those 1.6 billion people seems very exciting. People like a personalized experience and when the chatbot can remember personal details as well as follow up’.For instance, CNN’s bot can learn user’s news preferences, and accordingly recommend articles and summaries.

Progressively Adding Features to Messenger

Last month, after an experimental Microsoft Corp bot, named Tay had released a barrage of racist and sexist tweets on being manipulated by Twitter users, tech companies will have to approach chatbots more carefully. The company had instantly pulled Tay from the Internet. Facebook has been progressively adding features to Messenger since it turned off as a separate app in 2014 and last year it had partnered with Uber and Lyft so that individuals could order a car without the need of going through the ride sharing app. Besides this it had also partnered recently with KLM Royal Dutch Airlines in order that customers could receive flight updates as well as booking confirmation through Messenger.

Chatbots could thus automate such interactions eliminating customer service calls. Chris Fohlin, director of client strategy at consulting agency Engine Digital had commented that its `offloading the pain of navigating those phone systems’.Making Messenger the go-to-place for business-to-person interaction, Facebook expects that people would spend more time in using the app and depend on it for day-to-day tasks.