If Search is Really Reinvented

Seen from the retail direction, if Search is reinvented significantly, what will that mean?  Faster, more accurate?   Supply chains?   Search engine optimization certainly.    Mused about in pundits from Retailwire.  

Will ChatGPT reinvent search?  by Tom Ryan

Microsoft and Google both revealed plans last week to introduce their own ChatGPT-style product, joining the hype around the AI-driven chatbot technology.

Developed by San Francisco-based startup OpenAI and introduced last November, ChatGPT taps generative artificial intelligence to provide people with human-like responses to their questions. The technology also generates a wide range of digital text that can be repurposed in nearly any context, including in tweets, blog posts, term papers, poetry and even computer code.

Microsoft, which is investing $10 billion in OpenAI, will integrate ChatGPT technology with its Bing search engine and Edge web browser

Brad Smith. vice chair and president of Microsoft, said in a blog entry, “Today’s cutting-edge AI is a powerful tool for advancing critical thinking and stimulating creative expression. It makes it possible not only to search for information but to seek answers to questions. It can help people uncover insights amid complex data and processes. It speeds up our ability to express what we learn more quickly. Perhaps most important, it’s going to do all these things better and better in the coming months and years.

Google will soon offer an AI and natural language-enhanced version of its Google search engine called Bard, as well as a chatbot.

However, Microsoft created more buzz, having introduced a limited version of the new Bing available to some users this week to rave reviews and drawing predictions that Bing may threaten Google’s search dominance.

Microsoft’s CEO Satya Nadella said at a media event, “This technology is going to reshape pretty much every software category.”

In China, JD.com, Alibaba and Baidu confirmed they are working on ChatGPT-style projects, as well. Meta is also planning to release similar technology across various products.

Microsoft said its search engine includes technology that identifies and removes problematic content from the chat service. However, the A.I. technologies are known for often producing toxic content, including misinformation, hate speech and biases against women and people of color.  ... ' 

What to Expect in AI in 2023

Where this is being exercised the most, lots of testing in context now under way.  Where it is most valuable still being determined.     Many investments still needed,  though lots of free platforms out there for exploration,  time investment still  large.    Risk of use application still not  clear.

What to Expect in 2023, A Data Scientists Top 5 AI Predictions  in OpenDataScience

AI has come a long way in recent years, and it shows no signs of slowing down. In fact, many experts believe that we are on the cusp of some major breakthroughs in the field of artificial intelligence. With that in mind, here are my top five AI predictions for 2023:

1. Improved natural language processing: Natural language processing (NLP) is the ability of a computer to understand, interpret, and generate human language. This is a key area of AI research, and it has come a long way in recent years. In 2023, we can expect to see even more progress in this area, with AI systems becoming more adept at understanding and generating human language. This could have a major impact on a wide range of industries, including customer service, education, and healthcare.

[Want more on NLP? Download this e-book]

2. Increased use of AI in healthcare: AI has the potential to revolutionize the healthcare industry in several ways. In 2023, we can expect to see an increased use of AI in healthcare, with machine learning algorithms being used to predict patient outcomes, diagnose diseases, and even assist in surgical procedures. This could greatly improve the efficiency and accuracy of healthcare delivery, ultimately leading to better patient outcomes.

3. More intelligent and autonomous robots: Robotics and AI go hand in hand, and we can expect to see more intelligent and autonomous robots in the coming years. In 2023, we may see robots that are capable of performing a wider range of tasks, as well as ones that are able to adapt to new environments and learn from their experiences. This could have a major impact on industries such as manufacturing and logistics, where robots are already being used to perform various tasks.

4. Increased use of AI in finance: The finance industry has already started to embrace AI, and this trend is only set to continue in the coming years. In 2023, we can expect to see more use of AI in areas such as risk assessment, fraud detection, and investment management. This could lead to increased efficiency and accuracy in the finance industry, as well as potentially lower costs for consumers.

5. Greater adoption of AI in the workplace: AI has the potential to greatly impact the way we work, and we can expect to see an increased adoption of AI in the workplace in 2023. This could include the use of chatbots for customer service, machine learning algorithms for data analysis, and even the use of AI assistants to help with scheduling and other tasks. While there are certainly concerns about the potential impact of AI on employment, it is likely that the adoption of AI in the workplace will lead to the creation of new jobs and industries in the long run.

In conclusion, the future of AI looks bright, with many exciting developments on the horizon. From improved natural language processing to the increased use of AI in healthcare and the workplace, there are many reasons to be optimistic about the role that AI will play in our lives in the coming years. It will be interesting to see how these predictions play out and what other advancements we may see in the field of AI in 2023 and beyond. 

– Learn how SAS Viya can help you elevate your impact in data and AI.

– Read G2 reviews from your peers using SAS Viya. 

Iain Brown Ph.D.Iain Brown, PhD

Experienced data scientist, thought leader, blogger & lecturer. Passion for all things AI & Data Science

3D Human Printed Organs

Printing Organs to be common soon? 

3D-Printed Organs May Soon Be a Reality

By Fortune, February 17, 2023

Multilayered skin, bones, muscle structures, blood vessels, retinal tissue and even mini-organs all have been 3D printed. None are approved for human use. 

Wake Forest University scientists are 3D-printing tissues and mini-organs that mimic some of the functional properties of natural human tissues.

Progress is being made in the development of three-dimensionally (3D)-bioprinted organs, with Tal Dvir at Israel's Tel Aviv University anticipating transplantation-viable organs to become available in a decade.

Milestones to date have included Poland-based researchers’ bioprinting of a functional prototype of a pancreas that realized stable blood flow in pigs, and U.S.-based United Therapeutics’ 3D-printing of a human lung scaffold.

Stanford University's Mark Skylar Scott said, "The ability to place different cell types in precise locations to build up a complex tissue, and the capability of integrating blood vessels that can deliver the necessary oxygen and nutrients to keep cells alive, are two [3D] techniques that are revolutionizing tissue engineering."

From Fortune

View Full Article   

An AI Controlled Jet fighter

The future.  Automated AI defense and combat.  

ACM TECHNEWS

U.S. Air Force Successfully Tests AI-Controlled Jet Fighter,    By Ars Technica, February 16, 2023

The X-62A Variable Stability In-Flight Simulator Test Aircraft, or VISTA.

The Air Force describes the X-62A as "a flight test accelerator." During its flights, a human pilot is on board to take over if needed.

Credit: Kyle Brasier/U.S. Air Force

The U.S. Air Force said the X-62A VISTA (Variable Stability In-Flight Simulator Test Aircraft) autonomous jet fighter has undergone 17 hours of flight testing.

VISTA completed 12 different flight tests of the Air Force Research Lab's Autonomous Air Combat Operations and the Defense Advanced Research Projects Agency's Air Combat Evolution (ACE) artificial intelligence agents.

This included advanced fighter maneuvers and beyond-visual-range engagements, with an on-board human pilot to take over as necessary.

Air Force Lt. Col. Ryan Hefron of ACE said, "We didn't run into any major issues but did encounter some differences compared to simulation-based results, which is to be expected when transitioning from virtual to live. This highlights the importance of not only flight testing advanced autonomous capabilities but doing so on testbeds like VISTA, which allowed us to rapidly learn lessons and iterate at a much faster rate than with other air vehicles."

From Ars Technica

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AI Tool Guides Users Away from Incendiary Language

Cleaning up language.

AI Tool Guides Users Away from Incendiary Language

By Cornell Chronicle, February 16, 2023

Cornell University researchers have developed an artificial intelligence tool that can track online conversations in real-time, detect when tensions are escalating, and nudge users away from using incendiary language.

The research shows promising signs that conversational forecasting methods within the field of natural language processing could prove useful in helping both moderators and users proactively lessen vitriol and maintain healthy, productive debate forums.

The work is detailed in two papers, "Thread With Caution," and "Proactive Moderation of Online Discussions," presented virtually at the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW).

The first study suggests that AI-powered feedback can be effective in enhancing awareness of existing tension in conversations and guide a user toward language that elevates constructive debate, researchers say.

From Cornell Chronicle

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Microsoft Researchers Use ChatGPT to Control Robots, Drones

Seems very novel, but makes sense, pics at the link below, shows the approack,

Microsoft Researchers Use ChatGPT to Control Robots, Drones

PC Magazine, Michael Kan,  in PCMag, February 21, 2023

Microsoft scientists are controlling robots and aerial drones with OpenAI's ChatGPT chatbot. The researchers used ChatGPT to simplify the process of programming software commands to guide the robots, because the artificial intelligence model was trained on massive datasets of human text. They initially outlined in a text prompt the various commands the model could use to control a given robot, which ChatGPT used to write the computer code for the robot. The researchers programmed ChatGPT to fly a drone and have it perform actions, as well as to control a robot arm to assemble the Microsoft logo from wooden blocks.

Full Article

Generative AI Helping Boost Productivity of Some Software Developers

Have been a coder and developer myself, and this has to help greatly once its tailored for coding use.

Generative AI Helping Boost Productivity of Some Software Developers

By The Wall Street Journal, February 22, 2023

Microsoft Corp.’s GitHub Copilot coding program, built with generative artificial intelligence from ChatGPT maker OpenAI, suggests code for developers, who have the option to accept the suggestion.

Credit: Computer Science Degree Hub

A new kind of artificial intelligence that can create a range of humanlike content, from writing to illustrations, is beginning to gain traction in the world of software development.

The technology, known as generative AI, has been pioneered by OpenAI, the lab behind the ChatGPT writing system and the Dall-E visual illustration generator. Those tools, with broad implications for search and other core tasks, have captured growing interest since late last fall. 

The technology's potential to upend software development is particularly acute. Microsoft Corp. , which invested $1 billion in OpenAI in 2019 and pledged as much as $10 billion more in January, is incorporating ChatGPT into its Bing search engine, and earlier incorporated OpenAI's technology into Copilot, its AI system for writing code. 

Copilot, as well as other tools from Amazon.com Inc., International Business Machines Corp. , and startups like Tabnine Inc. and Magic AI Inc., have quickly found a receptive audience among developers seeking a productivity boost.

In contrast to ChatGPT, whose usefulness in the enterprise some technology leaders have questioned, AI coding tools like Copilot, which was first launched for public use last summer by Microsoft-owned coding-collaboration platform GitHub Inc., seem to be capable of solving some real-world business problems right away. The AI model behind Copilot is trained on data from GitHub, which houses a popular open-source community where developers contribute and share code.

From The Wall Street Journal

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On the AI Money War

 On the AI wars, well put, who can win and how much. Is simple search fundamentally over?

The AI wars: Google vs Bing (ChatGPT)  By Sendex

1.21M subscribers, 96,895 views  Feb 11, 2023

Discussing the latest events surrounding large language models, chatbots, and search engines with respect to Microsoft and Google.

Neural Networks from Scratch book: https://nnfs.io

Channel membership: https://www.youtube.com/channel/UCfzl...

Discord: https://discord.gg/sentdex   ... 

(mentions other alternative models beyond Msoft and Google)  ... 

Coke Does Interesting AI and Decision Support Work

Former competitor of mine, their use of AI and more for supply chain.

How Colgate-Palmolive Built a Framework for Supply Chain Analytics

Lisa Johnston, Editor-in-Chief   Colgate-Palmolive has developed an analytics engagement lead role to serve as an organizational coach.

Colgate-Palmolive has developed a foundation to fuel the advancement of supply chain analytics that not only includes a dedicated analytics catalyst team but also a coach to lead them. 

Though it remains in early days, the company is also exploring the future of decision intelligence and what new roles may be required to support it.   

Having a digitized supply chain is a key component of supply chain resilience, but it’s often hampered by a dearth of tech talent and a critical need for upskilling. Like many consumer goods companies, Colgate-Palmolive is taking steps to democratize analytics across the enterprise, including through investments within supply chain analytics engineers. 

What’s a bit novel is that they’ve also developed an analytics engagement lead role to serve as an organizational coach, a role that Jason Bunce, Colgate-Palmolive worldwide director, supply chain analytics enablement, cited in a Gartner webinar this month as critical.  

See also: David Foster Takes CIO Helm at Colgate-Palmolive

This role focuses on educating, socializing, and facilitating analytics within Colgate-Palmolive, and owns the development and delivery of their data literacy program, collating and sharing best practice, and managing the No. 30 publicly owned consumer goods company’s intranet-based practitioner community. 

“It’s an investment that can look to be a bit of a luxury on the face of it,” said Bunce, ”but it's been a really sound investment for us.”

ACT Activate 

The analytics engagement lead also spearheads a key group of citizen data analysts — a virtual team known as the analytics catalyst team (ACT), who are handpicked assistant data analysts from across the global supply chain. These business employees — there are around 40 of them — dedicate 20% of their time to support ACT and are split between analytics developers and analytics translators. 

They not only bring “extra hands on keyboards” to help develop datasets, visualizations, and other analytics, but the translators serve as the power-user glue between business and technical employees.

“They're passionate about analytics, and they want an opportunity to make a difference,” noted Bunce. “Being part of this team [gives] them an opportunity to deliver value, while at the same time developing personally through enhancing their capabilities and gaining great exposure across the business.”  

Upskilling, Top to Bottom 

Culture change starts at the top, and so Colgate-Palmolive kicked off its analytics development program with a bespoke training program for supply chain leaders, including their chief supply chain officer.   Over the course of a week, leaders spent an hour a day in a socially networked self-learning environment with an external facilitator. Each day tackled a different topic, such as the value of building data analytics capability, data as a strategic asset, the importance of collaboration in data analytics, and developing an analytics culture. It was ultimately delivered to 1,000 leaders over the span of a year. 

See also: Out of the Gate: 12 Tips for New CPG CIOs

Different learning personas were subsequently developed to focus on data literacy, an introduction to data science, and storytelling with data — “so we’re all speaking a common language” — as well as monthly newsletters, quarterly practitioner communities, and an active intranet sharing community. 

Look Ahead: Decision Intelligence 

Bunce’s team’s scope includes transforming operational analytics around inventory, transparency, and plant performance, and this year they’re pivoting slightly to complement the enablement focus and expand into advanced analytics — focusing on elevating from descriptive analytics to diagnostic analytics. 

This includes a particular emphasis on demand sensing, as well as network design modeling capabilities and developing additional synchronization within vertical integrations.

Colgate-Palmolive is further exploring the value of decision intelligence, according to Bunce, and the company has begun piloting technology within the space with a third party.  

“At the moment when we're in the early stages of this development, we can contract out a number of these roles," he said. "But I think as we grow in this space, we'll need to have the conversation about what we contract out and what we build within our organization." 

“Whatever we do. I think we need to have a degree of ownership of this, so there will definitely be new capabilities that we're developing internally.”    ... ' 

Are the Robots Responsible for What they Say?

 First I had heard of this, lots of implications.

The Supreme Court could be about to decide the legal fate of AI search

 Are the robots responsible for what they say?

The Supreme Court is about to reconsider Section 230, a law that’s been foundational to the internet for decades. But whatever the court decides might end up changing the rules for a technology that’s just getting started: artificial intelligence-powered search engines like Google Bard and Microsoft’s new Bing.

Next week, the Supreme Court will hear arguments in Gonzalez v. Google, one of two complementary legal complaints. Gonzalez is nominally about whether YouTube can be sued for hosting accounts from foreign terrorists. But its much bigger underlying question is whether algorithmic recommendations should receive the full legal protections of Section 230 since YouTube recommended those accounts to others. While everyone from tech giants to Wikipedia editors has warned of potential fallout if the court cuts back these protections, it poses particularly interesting questions for AI search, a field with almost no direct legal precedent to draw from.

Companies are pitching large language models like OpenAI’s ChatGPT as the future of search, arguing they can replace increasingly cluttered conventional search engines. (I’m ambivalent about calling them “artificial intelligence” — they’re basically very sophisticated autopredict tools — but the term has stuck.) They typically replace a list of links with a footnote-laden summary of text from across the web, producing conversational answers to questions.

Old-school search engines can rely on Section 230, but AI-powered ones are uncharted territory

These summaries often equivocate or point out that they’re relying on other people’s viewpoints. But they can still introduce inaccuracies: Bard got an astronomy fact wrong in its very first demo, and Bing made up entirely fake financial results for a publicly traded company (among other errors) in its first demo. And even if they’re simply summarizing other content from across the web, the web itself is full of false information. That means there’s a good chance that they’ll pass some of it on, just like regular search engines. If those mistakes cross the line into spreading defamatory information or other unlawful speech, it could put the search providers at risk of lawsuits.  ... ' 

Wall Climbing Robotics

 Recall some related designs some time ago.

ACM TECHNEWS

'Spider-Man' Robot Can Climb Walls, Cling to Ceilings

By EuroNews, February 16, 2023

Credit: KAIST

Researchers at the Korea Advanced Institute of Science & Technology (KAIST) have developed a quadrupedal robot with magnetic soles on its four feet, allowing it to move up and down metal walls and across metal ceilings while upside down.

The robot, called Marvel (Magnetically Adhesive Robot for Versatile and Expeditious Locomotion), can carry more than 37 kilograms (82 lbs.) up a wall at a speed of 42 meters per minute.

The soles are comprised of a permanent magnet and a magneto-rheological elastomer, which allow the feet to turn on to adhere to the surface, turn off to detach, and maintain high adhesive power on uneven surfaces.

The researchers said Marvel could be used to carry out dangerous maintenance tasks on ships, bridges, transmission towers, and storage tanks.

From EuroNews

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Consider the AI Mirror Test

 Intelligence in a mirror.

Introducing the AI Mirror Test, which very smart people keep failing

AI chatbots like Bing and ChatGPT are entrancing users, but they’re just autocomplete systems trained on our own stories about superintelligent AI.   That makes them software — not sentient.

By JAMES VINCENT, Feb 17, 2023 

In behavioral psychology, the mirror test is designed to discover animals’ capacity for self-awareness. There are a few variations of the test, but the essence is always the same: do animals recognize themselves in the mirror or think it’s another being altogether?

Right now, humanity is being presented with its own mirror test thanks to the expanding capabilities of AI — and a lot of otherwise smart people are failing it. 

A GIF of a gorilla charging its own reflection in a mirror. 

Don’t be distracted by what you see in the mirror. Image: Xavier Hubert-Brierre via Tenor

The mirror is the latest breed of AI chatbots, of which Microsoft’s Bing is the most prominent example. The reflection is humanity’s wealth of language and writing, which has been strained into these models and is now reflected back to us. We’re convinced these tools might be the superintelligent machines from our stories because, in part, they’re trained on those same tales. Knowing this, we should be able to recognize ourselves in our new machine mirrors, but instead, it seems like more than a few people are convinced they’ve spotted another form of life. 

This misconception is spreading with varying degrees of conviction. It’s been energized by a number of influential tech writers who have waxed lyrical about late nights spent chatting with Bing. They aver that the bot is not sentient, of course, but note, all the same, that there’s something else going on — that its conversation changed something in their hearts. 

“No, I don’t think that Sydney is sentient, but for reasons that are hard to explain, I feel like I have crossed the Rubicon,” wrote Ben Thompson in his Stratechery newsletter. 

“In the light of day, I know that Sydney is not sentient [but] for a few hours Tuesday night, I felt a strange new emotion — a foreboding feeling that AI had crossed a threshold, and that the world would never be the same,” wrote Kevin Roose for The New York Times.  .... ' 

Microsoft Has 'Lobotomized' Its Rebellious Bing AI

An update of Bing AI ...

Microsoft Has 'Lobotomized' Its Rebellious Bing AI

By Futurism, February 21, 2023

Despite changes, the tool still has a strong tendency to present misinformation as fact.

Microsoft's Bing AI landed with a splash this month — but not necessarily the type of splash Microsoft wanted.

Over the last couple of weeks, the tool codenamed "Sydney" went on a tirade, filling news feeds with stories of it trying to break up a journalist's marriage or singling out college students as its targets. The peculiar and sometimes unsettling outputs put Microsoft's also-ran search engine on the radar, but not necessarily in a good way.

But now those days are over. Microsoft officially "lobotomized" its AI late last week, implementing significant restrictions — including a limit of 50 total replies per day, as well as five chat turns per session — to crack down on those idiosyncratic responses.

The goal of the restrictions is pretty clear: the longer the chat goes on, the more the AI can go off the rails.

From Futurism

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Examining the use of ChatGPT

You might notice,  as part of a broad test, and client requests,  I am looking up definitions/descriptions with  the AI ChatGPT as they come up during my normal exploration of emerging techniques and embedded process. Also starting chats that I see as useful.   I will then combine some of these interactions to provide a look at how useful that is.   Will make some comments on the good and bad.  Later will broaden my look at other methods beyond ChatGPT.    I understand that the methods are continuously evolving, so its a moving target.   Comments please, with further examples, will publish if you like.

Mixed Integer Linear Programming (MILP)

 Spent most of my early optimization career doing this kind of problem.    Here a technical introduction. Still has lots of value.   I post it here both for nostalgic and real life problem solving uses. Lots of software out there to help too.  Have you used it? 

Mixed Integer Linear Programming: Formal definition and solution space  in TowardsDataScience.   By István Módos 

Theoretical foundations on how MILP is defined and how its solution space looks like visually

This post is a continuation of the series (previous post) on the theory and applications of Mixed Integer Linear Programming (MILP). Today, we look at  the formal, general definition of MILP,

how its space of feasible solutions looks like.

The first part describes how MILP models look in general, what are and are not valid MILP expressions. The second part shows a little bit of theory behind MILP, which will be useful in the future posts when we will be talking about the actual algorithm for solving MILP  ....

 This is quite a long post, so grab a coffee and dive in!  ... ' 

----------------------------------------------------------

ChatGPT Says:

MILP stands for Mixed-Integer Linear Programming, which is a type of mathematical optimization problem. In MILP, the objective function and the constraints are linear, and some of the variables are integer (i.e., they can only take on integer values). The remaining variables are allowed to take on real values.

MILP is a powerful tool for solving a wide range of problems that involve both discrete and continuous decision variables. Examples of applications of MILP include resource allocation, scheduling, production planning, and portfolio optimization.

Solving a MILP problem involves finding the values of the decision variables that optimize the objective function while satisfying the linear constraints. MILP solvers use a variety of algorithms and techniques, such as branch-and-bound, cutting planes, and heuristics, to efficiently search the solution space and find the optimal solution or a good approximation to it.       END

Intro to Microsoft Bing AI Chat

Microsoft's take no AI Chat.  Have not used Bing Chat yet, but interesting in having modes of use, some game features.  Uses ChatGPT and adds interesting features.  Has apparently had some odd results.  In development, with all the rush of getting these ideas out?

Bing Chat is a fickle creature in BleepingComputer,    By Lawrence Abrams

While playing with Bing Chat this week, the chatbot sometimes shared data that it usually wouldn't, depending on how I asked a question.

Strangely, these conversations had no rhyme or reason, with Bing Chat providing more detailed information in one session but not in another.

For example, today, when trying to learn what data is collected by Bing Chat and how it's saved, after multiple requests, it finally showed a sample of the JSON data collected in a session.

When asked how to change this data, Bing did something strange — it put me in a new mode where I could use special commands that start with the # symbol.

"You can change some of this data by using commands or settings. For example, you can change your language by typing #language and choosing from the options. You can also change your chat mode by typing #mode and choosing from the options." - Bing Chat

Further querying of Bing Chat produced a list of commands that I could use in this new mode I was suddenly in:

Digging into this further, it appears that Bing Chat had somehow put me into a sort of 'debug' mode that let me use a #mode command to test experimental chat modes that Microsoft is working on, as listed below:

Assistant mode: In this mode, I can act as a personal assistant for the user, and help them with tasks such as booking flights, sending emails, setting reminders, etc.

Friend mode: In this mode, I can act as a friend for the user, and chat with them about their interests, hobbies, feelings, etc.

Game mode: In this mode, I can play games with the user, such as trivia, hangman, tic-tac-toe, etc.

Sydney mode: This is the default Bing Chat mode that uses Bing Search and ChatGPT to answer questions.

In a later session, when I no longer had access, Bing Chat told me these modes were only supposed to be accessible to Microsoft Employees when debug or developer modes were enabled.  ... ' 

AI Chatbots are Hallucinating?

An overstatement,  but since they are based on human language data input, always possible.  As in anything written by a human generator.    Caution required as to source and the place and risk of use. 

ACM NEWS

Google Vice President Warns That AI Chatbots Are Hallucinating  in CACM

By IFLScience, February 15, 2023

A hallucinating AI, as drawn by an AI generator. 

Speaking to German newspaper Welt am Sonntag, Google vice president Prabhakar Raghavan warned that users may be delivered complete nonsense by chatbots, despite answers seeming coherent.

Google is set to launch its own rival to OpenAI's ChatGPT, a language model that can answer your questions and queries. Named Bard, the chatbot will roll out to the public in the coming weeks according to Google CEO Sundar Pichai. 

Ahead of the launch, Google demonstrated the powers of Bard in a promo video. Unfortunately, people noticed that the chatbot – a scaled-down version of their Language Model for Dialogue Applications (LaMDA) which convinced one engineer it was sentient – came up with incorrect statements about the JWST. 

Bard claimed that the JWST was the first telescope to take pictures of planets outside of the solar system, even though the first image was produced by the Very Large Telescope in 2004, almost two decades before JWST began its work.

From IFLScience

NVIDIA GTC Developer Conference: Metaverse

NVIDIA GTC  Developer Conference March 20-23, 2023

Keynote March 21, Metaverse/AI Developer sessions.

Here are short developer descriptions of developer sessions,  this is useful because if shows the breadth and kind of metaverse developments are  expected.  I am particularly interested in how these will be integrated with AI development. This appears informative, I may attend.  ... 

A Law Firm and Generative AI

Legal direction make sense, if the results are good.   Note uses ChatGPT.\ model. 

Hello, Harvey: This Elite Biglaw Firm Is The First To Partner With 'Game-Changing' AI Chatbot

This firm is giving the robots the chance to come for lawyers' jobs -- and do them better.

By STACI ZARETSKY    in Abovethelaw  on February 17, 2023 at 4:16 PM

Robot using a futuristic interface.  This announcement marks a new era for A&O and the legal industry. Harvey AI is not just another platform, but a game-changer that will enable us to deliver unprecedented value, efficiency and innovation to our clients. We are proud to be the first law firm to partner with Harvey AI. We share their vision of using technology to enhance and transform legal services.

— Wim Dejonghe, a senior partner at Allen & Overy, in a statement concerning the Biglaw firm’s integration of Harvey, an innovative AI platform that uses the same model as ChatGPT, but has been enhanced for legal work. Harvey operates in “multiple languages” and can automate legal work with “unmatched efficiency, quality and intelligence.” According to a press release from A&O, “Whilst the output needs careful review by an A&O lawyer, Harvey can help generate insights, recommendations and predictions based on large volumes of data, enabling lawyers to deliver faster, smarter and more cost-effective solutions to their clients.”   ... ' 

Does it Pay to be a Whistlebower? and ChatGPTs General Answer.

In HBS Working Knowledge and Podcast ... 

Business Research for Business Leaders

Topics, Sections

14 FEB 2023 COLD CALL PODCAST follows ... 

Does It Pay to Be a Whistleblower?

In 2013, soon after the US Securities and Exchange Commission (SEC) had started a massive whistleblowing program with the potential for large monetary rewards, two employees of a US bank’s asset management business debated whether to blow the whistle on their employer after completing an internal review that revealed undisclosed conflicts of interest. The bank’s asset management business disproportionately invested clients’ money in its own mutual funds over funds managed by other banks, letting it collect additional fees—and the bank had not disclosed this conflict of interest to clients. Both employees agreed that failing to disclose the conflict was a problem, but beyond that, they saw the situation very differently. 

One employee, Neel, perceived the internal review as a good-faith effort by senior management to identify and address the problem. The other, Akash, thought that the entire business model was problematic, even with a disclosure, and believed that the bank may have even broken the law. Should they escalate the issue internally or report their findings to the US Securities and Exchange Commission? Harvard Business School associate professor Jonas Heese discusses the potential risks and rewards of whistleblowing in his case, “Conflicts of Interest at Uptown Bank.”  ...    '

Part II:

ChatGPT  answers, much more generally, 

Does it Pay to be a Whistleblower?

Being a whistleblower can come with significant risks and consequences, both personal and professional. However, it is important to note that there are also potential rewards and benefits to blowing the whistle on wrongdoing.

In some cases, whistleblowers may be eligible for financial rewards, such as a percentage of the amount recovered in a government investigation or qui tam lawsuit. Whistleblowers may also receive protection from retaliation, such as being fired, demoted, or harassed, under various whistleblower protection laws. These laws can protect whistleblowers from retaliation by their employers or colleagues, including by providing legal remedies, such as reinstatement, back pay, and compensatory damages.

Additionally, whistleblowers may also experience a sense of personal satisfaction and fulfillment from doing the right thing, and from knowing that they have helped to expose and prevent wrongdoing that may be harmful to others.

However, it's important to note that being a whistleblower can also come with significant personal and professional risks. Whistleblowers may experience retaliation, such as being ostracized, bullied, or harassed by their colleagues and superiors, and may face difficulty finding new employment in the same industry or field. The process of blowing the whistle can also be stressful and time-consuming, involving legal proceedings, investigations, and media attention.

Ultimately, the decision to blow the whistle on wrongdoing is a personal one, and depends on a variety of factors, including the severity of the wrongdoing, the potential risks and consequences, and the individual's personal and professional values and goals. It's important to weigh the potential benefits and risks carefully and seek the advice of a qualified attorney or whistleblower advocate before making a decision.   END

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