Greetings, fellow AI apprentices

OpenAI is said to be joining the AI Chipmaking League. What’s the future landscape of AI chipmaking’s gonna be like?

Let’s take a look at this week’s updates🕹️

• OpenAI said to be considering developing its own AI chips

• IBM Announces New AI-Powered Threat Detection and Response Services

• Explore AI Innovation from Dreamforce 2023

• Quick snips for AI updates

• Weekly productivity hacKs

Read time: 6 minutes

                         FOCUS OF THE WEEK

OpenAI said to be considering developing its own AI chips

As the shortage of chips to train AI models worsens. OpenAI is reported considering to acquire an AI chip manufacturer or to design chips internally.

OpenAI relies on GPU-based hardware to develop models such as ChatGPT, GPT-4 and DALL-E 3.

However, hardware as an unforgiving business is subjected factors like macroeconomic environment. It remains to be seen if the investors have the appetite for the audacious bet.

⚡️Insights:

Microsoft, one major OpenAI investor, is in the process of crafting its custom AI chip. It is worth paying attention to OpenAI’s potential move as it could hint a strategic drift between the two and the impact to the market dynamics of AI chipmaking industry.

🧠Extended reads:

Top 10 AI Chip Makers of 2023: In-depth Guide

IBM Announces New AI-Powered Threat Detection and Response Services

IBM has introduced its next-gen Threat Detection and Response Services (TDR), featuring advanced AI capabilities that can automatically escalate or close up to 85% of security alerts. These services offer:

• continuous 24x7 monitoring, investigation

• automated remediation of security alerts across hybrid cloud environments

• leveraging AI and contextual threat intelligence to prioritize critical threats and reduce noise

IBM's TDR Services include crowdsourced detection rules, MITRE ATT&CK framework assessment, seamless integration with existing security assets, and 24x7 global support.

⚡️Insights:

The contextual intelligence provides far more value than a simple rules-based digital sentinel. However, what are the questions that we need to ask for the AI proposition on cybersecurity? Let’s take a look into the article below and see.

🧠Extended reads:

How to Know if an AI Cybersecurity Claim is Legit

Explore AI Innovation from Dreamforce 2023

Salesforce introduced the Einstein 1 Platform, built on metadata frameworks, combines CRM solutions with generative AI, data cloud architecture, and Einstein insights. Additionally, they unveiled:

• Einstein Copilot, a conversational AI assistant that guides users through Salesforce, and the accompanying Copilot Studio for building AI agents.

• Einstein for Developers, an AI-powered code generation tool specialized in Salesforce languages.

• Einstein Trust Layer, ensuring secure interactions with large language models, and teased generative AI capabilities with the Einstein LLM Generations API.

⚡️Insights:

Basically reinforcing Salesforce’s commitment to integrating AI into their services as one of the leading institutions in CRM business. With LLM being the crucial leverage in social media marketing revolution, we are expected to see the rise of AI-powered Saas changing the industry ecosystem.

                           QUICK SNIPS

Artificial intelligence such as ChatGPT to be allowed in Australian schools from 2024 - Link

New tools are available to help reduce the energy that AI models devour - Link

Bill Gates-Backed Startup Launches AI Chatbot for Personalized Movie, Book Picks - Link

Former Tinder CEO’s startup to fight loneliness with AI chatbot gets backing by Sequoia - Link

AI-powered parking platform Metropolis raises $1.7B to acquire SP Plus - Link

                       PRODUCTIVITY HACKS

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