🤯Meta’s huge AI event

Report: At Meta Connect 2024, CEO Mark Zuckerberg introduced a whole new era of AI and showed the powerful capability that the newly released Llama 3.2 model offers. This latest innovation in AI now involves image editing, interaction of voice, and real-time translation to elevate user experiences with Meta’s suite of apps.

🔑Key Points:

• Introduction of Llama 3.2: Llama 3.2 is new with the capability for multimodal; it will understand and edit images. In the event, Zuckerberg showed how users can modify images using simple text prompts to show off advanced understanding and versatility.
• Improved Voice Interaction: Meta AI now supports voice conversations within its apps, such as Instagram and WhatsApp, with a range of celebrity voice options. The company is looking for ways to provide users with more organic-feeling interactions, with Zuckerberg saying that in the future, people will use voice interaction way more often than traditional chatbots.
• AI Translation Features: Meta launched automatic video dubbing in Reels, instantly translating English to Spanish and vice versa. The feature uses the power of AI to make faces and lips move in cadence, like the person would be speaking naturally in the translated language.

🤔Why It Matters:

These developments mark a direction for Meta on how committed the platform is toward integrating sophisticated AI technologies into its ecosystem for better user engagement and accessibility. With image editing, voice interaction, and real-time translation, it means Meta intends to make the experience more interactive and immersive with the evolution of generative AI.

• Supportiveness of the EU AI Pact: In order to follow some basic principles in the new EU AI Act on AI governance, the identification of risks, and AI literacy on a totally voluntary basis, more than 100 companies have signed up for the EU AI Pact, with OpenAI, Amazon, Microsoft, and Google part of that list.
• Commitments to Governance: The signatories to the letter are committed to the creation of policies in AI governance and in the finding of high-risk systems; many vowed to ensure that humans would be ultimately responsible, labeling AI-generated content, including deepfakes.
• Exclusion of Apple and Meta: Neither Apple nor Meta signed the pact; Apple was reportedly afraid of EU regulations, while Meta has continued to lobby against the AI Act, citing issues of regulatory uncertainty and catching user data.

• Revolutionary Design Technique: AlphaChip designs superhuman-quality chip layouts using reinforcement learning independently, completing in hours what human designers do in weeks or months. This has been applied so far in the last three generations of Google’s TPU.
• Wide Adoption: From Google’s TPUs, AlphaChip finds applications across organizations, from MediaTek, to create better chip development. Their technology is inspiring a new wave of research in AI for chip design that improves aspects like logic synthesis and macro selection.
• The Future of Chip Design: With plans for ongoing development, AlphaChip wants to optimize every stage of the chip design cycle and perhaps reform the manufacturing of custom hardware used in smartphones, medical devices, and more.

• For-Profit Structure: OpenAI will restructure to a for-profit benefit corporation from its current nonprofit governance structure in an effort to attain more venture capital investment.
• Equity Stake for Sam Altman: There is an reported equity stake for the CEO, Sam Altman, at about 7% with the new structure that is introduced in the company.
• Executive Switches in Restructuring: The moves come as OpenAI deals with executive churn, including the recent departure of its CTO Mira Murati and negotiations for a giant funding round that could value the company above $150 billion.

Our Report: Perplexity AI’s code interpreter feature enables users to effortlessly install Python libraries, retrieve financial data, and generate charts directly within the platform.

The Tutorial:

1. Visit Perplexity AI, click “Sign Up” to create an account or “Log In” if you already have one.
2. Locate the search bar on the homepage and select the “Pro” search option.
3. Type a command like: “Install a library to get the stock market returns of the DAX index over the past 20 years. Then use it to make a chart.”
4. Perplexity will install necessary Python libraries, retrieve the DAX index data, and generate a chart automatically.
5. Examine the generated chart to understand the DAX index trends over the last 20 years.
6. Interact further by asking questions such as: “What influenced the DAX in 2008?” or “Compare DAX performance with the S&P 500.”
7. Once satisfied, save or export your charts for future use.
8. Important notes: Free users get 5 Pro searches daily, so if preferred, you can upgrade to premium for unlimited access and additional features.

• Improved Note-taking Capabilities: With the upgraded features, Google’s NotebookLM will be able to summarize YouTube videos and audio files. An added capability will enable users to create, share, and publish AI-generated audio discussions with a public URL, rather than being confined to text sources.
• Diverse User Base Growth: Although targeted at educators and learners initially, NotebookLM gained the interest of a huge pool of business professionals, hence creating a balanced user demography to justify new features development in order to enable increased user interaction and sharing.
• Focus on User Feedback: User feedback and commitment to privacy have played an important role in developing NotebookLM. Google wants to ensure the tool does not harm the way users retain their reading habits, while additionally providing clickable citations for deeper engagement with original texts.