Microsoft's Copilot Gets a Makeover for 1st Anniversary
Plus: Microsoft introduces Deep Search in Bing, DeepMind's AI that learns like humans.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 162nd edition of The AI Edge newsletter. This edition brings you all the advancements in Microsoft’s Copilot, celebrating its one year.
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🎉 Microsoft Copilot celebrates the first year with significant new innovations
and🔍Bing’s new “Deep Search” finds deeper, relevant results for complex queries
🧠 DeepMind’s new way for AI to learn from humans in real-time
📚 Knowledge Nugget: 5 Key Takeaways on the Current State of Generative AI in the Enterprise by
Let’s go!
Microsoft Copilot celebrates the first year with significant new innovations
Celebrating the first year of Microsoft Copilot, Microsoft announced several new features that are beginning to roll out:
GPT-4 Turbo is coming soon to Copilot: It will be able to generate responses using GPT-4 Turbo, enabling it to take in more “data” with 128K context window. This will allow Copilot to better understand queries and offer better responses.
New DALL-E 3 Model: You can now use Copilot to create images that are even higher quality and more accurate to the prompt with an improved DALL-E 3 model. Here’s a comparison.
Multi-Modal with Search Grounding: Combining the power of GPT-4 with vision with Bing image search and web search data to deliver better image understanding for your queries. The results are pretty impressive.
Code Interpreter: A new capability that will enable you to perform complex tasks such as more accurate calculation, coding, data analysis, visualization, math, and more.
Video understanding and Q&A– Copilot in Edge: Summarize or ask questions about a video that you are watching in Edge.
Inline Compose with rewrite menu: With Copilot, Microsoft Edge users can easily write from most websites. Just select the text you want to change and ask Copilot to rewrite it for you.
Deep Search in Bing (more about it in the next section)
All features will be widely available soon.
Why does this matter?
Microsoft seems committed to bringing more innovation and advanced capabilities to Copilot. It is also capitalizing on its close partnership with OpenAI and making OpenAI’s advancements accessible with Copilot, paving the way for more inclusive and impactful AI utilization.
Bing’s new “Deep Search” finds deeper, relevant results for complex queries
Microsoft is introducing Deep Search in Bing to provide more relevant and comprehensive answers to the most complex search queries. It uses GPT-4 to expand a search query into a more comprehensive description of what an ideal set of results should include. This helps capture intent and expectations more accurately and clearly.
Bing then goes much deeper into the web, pulling back relevant results that often don't show up in typical search results. This takes more time than normal search, but Deep Search is not meant for every query or every user. It's designed for complex questions that require more than a simple answer.
Deep Search is an optional feature and not a replacement for Bing's existing web search, but an enhancement that offers the option for a deeper and richer exploration of the web.
Why does this matter?
This may be one of the most important advances in search this year. It should be less of a struggle to find answers to complex, nuanced, or specific questions. Let’s see if it steals some traffic from Google, but it also seems similar to the Copilot search feature powered by GPT-4 in the Perplexity Pro plan.
DeepMind’s new way for AI to learn from humans in real-time
Google DeepMind has developed a new way for AI agents to learn from humans in a rich 3D physical simulation. This allows for robust real-time “cultural transmission” (a form of social learning) without needing large datasets.
The system uses deep reinforcement learning combined with memory, attention mechanisms, and automatic curriculum learning to achieve strong performance. Tests show that it can generalize across a wide task space, recall demos with high fidelity when the expert drops out, and closely match human trajectories with goals.
Why does this matter?
This can be a stepping stone towards how AI systems accumulate knowledge and intelligence over time, just like humans. It is crucial for many real-world applications, from construction sites to household robots, where human data collection is costly, the tasks have inherent variation, and privacy is at a premium.
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Knowledge Nugget: 5 Key Takeaways on the Current State of Generative AI in the Enterprise
The generative AI buzz has sparked many discussions– a three-and-a-half-day work week, 40% of today’s work can be automated, a robot revolution, and much more.
But how quickly are enterprises moving towards trusting AI with more mission-critical tasks?
From
‘s latest survey of enterprise tech buyers, here are some conclusions:The majority buyers surveyed expect to keep investing in these tools.
…but the AI market still remains pretty undefined. Most enterprises are more concerned with identifying use cases and business outcomes rather than leading with tech.
Enterprises see AI’s potential, but they’re demanding real use cases for it.
For many large enterprise customers, the main concern with AI is data security.
One huge opportunity in AI: It can help enterprise customers more effectively use the data they already gather.
Why does this matter?
This points out the major challenges in the adoption of AI at the enterprise level. It suggests that AI companies/startups should lead with the business problem their tool solves or the business opportunity it can unlock, not hype up the tech itself.
What Else Is Happening❗
💰Elon Musk is looking to raise $1 billion for xAI.
Musk has raised about $135 million so far from four unnamed investors, with the first sale occurring on November 29. That means he still has about $865 million to go to meet his $1 billion goal. It’s no small feat, but Musk is surely up for the challenge. (Link)
🧑💻Visual Electric launches a GenAI-based image generator focused at designers.
Many generative AI-based image creation interfaces are not focused on designers' workflows. Visual Electric was started to solve the interface problem. Built around the creative process, it lets you spread out, make a mess, and work spatially because creativity isn’t linear, it’s messy. (Link)
🤝Unilever and Accenture collaborate on next-generation AI.
Accenture is joining forces with Unilever, the consumer goods multinational. It is part of a strategic initiative to leverage Unilever's AI research and implementation of technologies that enhance productivity, drive efficiencies, and accelerate disruptive and AI-powered innovations at scale. (Link)
🧬Absci announces collaboration with AstraZeneca to advance AI-driven oncology.
Absci, a leader in generative AI antibody discovery, announced a collaboration with AstraZeneca to deliver an AI-designed antibody against an oncology target. This collaboration combines Absci's Integrated Drug Creation platform with AstraZeneca's oncology expertise to accelerate the discovery of a potential new cancer treatment candidate. (Link)
✨Pika’s 'Modify Region' changes background objects and outfits in real time.
Its new teaser for AI 'Modify Region' example showed changing background objects and outfits in real-time seamlessly with text prompts. (Link)
That's all for now!
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Thanks for reading, and see you tomorrow. 😊
Great stuff! I really appreciate the updates on Copilot, Bing, and DeepMind. Very useful for my work!
Interesting to see Microsoft celebrating the one-year anniversary of Copilot with some notable updates. :-)