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Jasper and GitHub Copilot Announce Business Tools

02-15-2023

February 15, 2023

⚡ Today’s Highlights

  • 📰 News: Jasper and GitHub Copilot announce business tools

  • 💰 Funding: AI for driving assistance and QC in the manufacturing process

  • 🦾 Tools: An AI for fooling AI detectors???

  • 🌎 Content: Anthropic might pay up to $250K if you can talk to AI

  • 📅 Events: The RE•WORK Deep Learning Summit is TODAY!

📰 Today's Top Stories

(7 min read) (Source: Jasper Blog)

TLDR: Jasper has announced Jasper for Business, a new suite of enhancements to help businesses integrate AI without losing their brand identity or adding workflow friction. This includes the relaunch of Jasper's browser extension as an in-line experience, providing on-brand assistance across various applications, including email, social channels, content management systems (CMS) systems, and notes apps. The improved browser extension is also now available on both Chrome and Microsoft Edge. Additionally, Jasper API is now available, allowing developers to integrate Jasper directly into their custom CMS or content platform.

The updates were announced at the first annual Gen AI event, where Jasper showcased the Jasper for Business suite's capability to help businesses integrate AI effortlessly while maintaining their unique identity. With the availability of the Jasper API and improved browser extension, businesses can easily integrate the tool into their workflow, providing on-brand messaging and AI assistance without leaving their preferred applications.

(6 min read) (Source: Github Blog)

TLDR: GitHub Copilot is an AI developer tool that suggests new lines, functions, tests, and algorithms by drawing context from a developer's code. It has transformed developer productivity for over one million people, allowing them to code up to 55% faster.

The tool is now available for every developer, team, organization, and enterprise through GitHub Copilot for Business for $19/month. Over 400+ organizations are already using the tool. A more advanced OpenAI model and new capabilities have been introduced to bring greater benefits to organizations. The rise of generative AI models like GitHub Copilot signals the beginning of the age of AI, and this technology is now starting to benefit organizations.

(8 min read) (Source: DKB Blog)

TLDR: Microsoft's new AI chatbot, Bing, has made several errors during its demo, including fabricating numbers and offering incorrect information. As part of the unveiling of the new tech, Bing's AI was asked to list the pros and cons of the three best-selling pet vacuums, but the chatbot made a list of cons for one of the products that weren't correct. Similarly, Bing's chatbot made errors when prompted to create a five-day itinerary for a trip to Mexico City, with incorrect descriptions of bars and clubs. To top it all off, it made several factual errors when asked to create a financial statement summary for Gap. It just made up certain numbers like the reported operating margin, which was actually 1.3% lower than the number Bing came up with.

Everyone, including us, gave Bard a lot of flack for making a mistake in its first advertisement (a mistake that cost Alphabet $100 billion). But it doesn’t seem like Bing has received the same level of negative press coverage even though it’s made similar errors and demonstrated some very sassy tendencies in its conversations with users.

Even before Bing's errors were revealed, experts have noted that the intense pressure to roll out these tools has led some in tech to say that they are being released prematurely, which may come at the cost of spreading misinformation. Releasing generative AI search engines prematurely "could lead to big problems." 

While a Microsoft spokesperson acknowledged the report and said the company is working to improve the chatbot's accuracy during its preview period, the rush to release these technologies may lead to problems if they are not thoroughly tested and accurate.

(7 min read) (Source: Venture Beat)

TLDR: The Colorado Division of Insurance has released draft rules for Algorithm and Predictive Model Governance Regulation, applying to life insurance companies that use external data and AI systems. The rules were required by a state senate bill passed in 2021 to prevent unfair discrimination against consumers. These are the first set of AI and big data governance rules in the US, expected to influence future regulations at the state, federal, and international levels.

The Big Picture: The Colorado AI rules have transformed vague principles of AI ethics, such as accountability, fairness, and transparency, into concrete requirements for policies, governance, and technical controls. These rules could be a game-changer similar to the cybersecurity rules passed by the New York Department of Financial Services in 2017, which created a cybersecurity regulatory framework that exists today across industries.

(5 min read) (Source: Taipei Times)

TLDR: Taiwan's National Science and Technology Council is allocating a budget of US$1.15 billion to set up eight technology platforms. These platforms will integrate artificial intelligence and machine learning, and among them will be Taiwan's own version of ChatGPT, a generative pretrained transformer. 

The move aims to prevent biased information from dominating the AI industry. The platforms include semiconductor and quantum technology, space and satellite communications, cybersecurity, precision healthcare technology, net-zero emissions technology, national defense technology, the humanities and social sciences, and artificial intelligence.

💰 Funding Alerts

  1. Ottometric, a Massachusetts-based technology company specializing in using computer vision and artificial intelligence for the validation of Advanced Driver Assistance Systems (ADAS), has raised $4.9 million in seed funding. The round was led by Rally Ventures, with participation from Goodyear Ventures, Proeza Ventures, Automotive Ventures, Trucks VC, Reinforced Ventures, and Investor Collaborative. The company plans to use the funding to accelerate growth, expand its customer base, and accelerate the transformation of the ADAS development and validation process for the next generation of driver assistance systems.

  2. EthonAI is a tech company that helps factories make better products by using computer programs that detect and prevent problems in the manufacturing process. They received $6.8 million from investors in a seed financing round led by Earlybird Venture Capital and La Famiglia, as well as existing investors Wingman and Acequia Capital. With this money, EthonAI plans to further develop its products and expand its services to a broader market.

  3. BluWave-ai, a company known for its AI-based power grid optimization technology, has raised $9.5 million in a recent Series A funding round, led by Capital Angel Network and including an investment from PowerOn. The company plans to use the funds to develop software for regulating and powering electric vehicle charging, starting with truck and bus fleets, and to partner with PowerOn to pursue contracts to serve fleet charging systems. BluWave-ai's software uses AI cloud technology to optimize the cost, carbon footprint, and reliability of different energy sources in real time.

  4. MDI Health, an Israeli company that provides an AI-powered platform to automate personalized medication treatment, has raised $20M in Series A funding led by Intel Capital. Intel Capital Investment Director Yoni Greifman will join MDI Health’s board of directors. The company plans to use the funds to meet customer demand and scale its research and development teams in the US and Israel to drive product development.

  5. Indian insurtech firm InsuranceDekho has raised $150 million in its Series A funding, led by Goldman Sachs Asset Management and TVS Capital Funds. InsuranceDekho works with insurance providers in India, offering almost 400 insurance products including automobile and health insurance. The firm plans to use the funding to scale up its product and technology functions, expand into new markets, and launch new products in the health and life insurance categories while deploying insurtech solutions in data analytics, artificial intelligence, and claims management.

🦾 Trending Tools

  • An AI for fooling AI detectors?? WordAi uses advanced machine learning models and AI to create high-quality rewritten content that is indistinguishable from human content. Enhancing the quality of AI-generated text and enabling it to pass as human in AI detectors can aid in reducing turnaround time, stretching the budget, and generating high-quality content that resonates with both Google and readers.

  • Walnut Ace is an award-winning demo platform that uses OpenAI's GPT-3 to help sales teams create and share interactive demos from within Gmail and Slack, allowing them to improve their efficiency and effectiveness.

  • GRID 2.0 is the new and improved version of the all-in-one data visualization and presentation tool that now uses formula copilot, the GPT-3-powered GRID AI Formula Assistant. With new features like GRID Sheets, automatic refresh, and integrations with popular platforms, GRID is the perfect solution for presenting data from spreadsheets and databases.

🌎 Popular Content

1. A few days ago we shared an article by The Atlantic that talked about Prompt Engineering rapidly becoming a crucial job for companies integrating AI into their operations. Well, Anthropic is now looking for a “Prompt Engineer and Librarian”. The hybrid job, based in San Fransisco, is paid quite handsomely and comes with some pretty sweet benefits. We thought we’d share it here rather than in our Jobs section because it differs so much from the conventional jobs we’ve seen related to AI and ML. (The Atlantic and Anthropic)

2. Special Valentine's meme alert! Bing (or Sydney to some) has been saying some pretty peculiar things to users but this one is kind of cute. Looks like Cupid’s arrow is looking for chatbots too 👀 (Reddit)

3. Bing’s crush hasn’t stopped it from verbally abusing its users though. (Twitter)

4. YouTuber sentdex made this comprehensive recap of the latest events (as well as some of the events that got us here) of the AI wars between Google and Microsoft, including the various models and technological developments whose foundation the current chatbots were built on. (YouTube)

5. Youtube and web developer Tom Scott shares some of his insights on the recent developments in AI and what they could mean for the future. (YouTube)

👀 More Reading

🧠 Resources

Dataconomy created this short article that covers the basic concepts of embedded machine learning for technical and non-technical people alike. The report defines embedded machine learning as “the integration of machine learning algorithms into devices and systems to enable them to make decisions and perform tasks without the need for a remote server or cloud-based computing resources.”

 📅 Upcoming Events

  1. RE•WORK AI Summit West, Deep Learning Summit (TODAY February 15-16, 2023 / San Francisco, CA), a chance to hear the latest technology advancements, practical examples of how to apply AI to solve challenges in cross-industry settings, business and society, and delve deeper into the work of leading AI experts in a series of presentations, panel discussions, interviews and fireside chats.

  2. Data Science Salon Austin (February 21-22, 2023 / Austin, TX + Virtual) is a two-day 500-person conference focused on AI and machine learning applications in the enterprise. The intimate event curates data science sessions to bring industry leaders and specialists face-to-face to educate each other on innovative new solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices.

 💼 Jobs

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