AI Training Practices

"Last Week in AI" including OpenAI, Stack Overflow, Apple's new Photos app, YouTube Premium, Microsoft MAI-1, Eli Lilly, Audible, Apple's M4 chip, Google's Pixel 8a, machine learning in whale communication, and more.

Last Week in AI: Episode 31

Hey everyone, welcome to this week’s edition of “Last Week in AI.” This week’s stories provide a glimpse into how AI is reshaping industries and our daily lives. Let’s dive in and explore these fascinating developments together.

OpenAI and Stack Overflow Partnership

Partnership Announcement: OpenAI and Stack Overflow have formed a new API partnership to leverage their collective strengths—Stack Overflow’s technical knowledge platform and OpenAI’s language models.

Impact and Controversy: This partnership aims to empower developers by combining high-quality technical content with advanced AI models. However, some Stack Overflow users have protested, arguing it exploits their contributed labor without consent, leading to bans and post reverts by staff. This raises questions about content creator attribution and future model training, despite the potential for improved AI models. Read more

Apple’s New Photos App Feature

Feature Introduction: Apple is set to introduce a “Clean Up” feature in its Photos app update, leveraging generative AI for advanced image editing. This tool will allow users to remove objects from photos using a brush tool, similar to Adobe’s Content-Aware Fill.

Preview and Positioning: Currently in testing on macOS 15, Apple may preview this feature during the “Let Loose” iPad event on March 18, 2023. This positions the new iPads as AI-equipped devices, showcasing practical AI applications beyond chatbots and entertainment. Read more

YouTube Premium’s AI “Jump Ahead” Feature

Feature Testing: YouTube Premium subscribers can now test an AI-powered “Jump ahead” feature, allowing them to skip commonly skipped video sections. By double-tapping to skip, users can jump to the point where most viewers typically resume watching.

Availability and Aim: This feature is currently available on the YouTube Android app in the US for English videos and requires a Premium subscription. It complements YouTube’s “Ask” feature and aims to enhance the viewing experience by leveraging AI and user data. Read more

Microsoft’s MAI-1 Language Model Development

Model Development: Microsoft is developing a new large-scale AI language model, MAI-1, led by Mustafa Suleyman, the former CEO of Inflection AI. MAI-1 will have approximately 500 billion parameters, significantly larger than Microsoft’s previous models.

Strategic Significance: This development signifies Microsoft’s dual approach to AI, focusing on both small and large models. Despite its investment in OpenAI, Microsoft is independently advancing its AI capabilities, with plans to unveil MAI-1 at their Build conference. Read more

AI in Drug Discovery at Eli Lilly

Innovative Discovery: The pharmaceutical industry is integrating AI into drug discovery, with Eli Lilly scientists noting innovative molecular designs generated by AI. This marks a precedent in AI-driven biology breakthroughs.

Industry Impact: AI is expected to propose new drugs and generate designs beyond human capability. This integration promises faster development times, higher success rates, and exploration of new targets, reshaping drug discovery. Read more

AI-Narrated Audiobooks on Audible

Audiobook Trends: Over 40,000 AI-voiced titles have been added to Audible since Amazon launched a tool for self-published authors to generate AI narrations. This makes audiobook creation more accessible but has sparked controversy.

Industry Reaction: Some listeners dislike the lack of filters to exclude AI narrations, and human narrators fear job losses. Major publishers are embracing AI for cost savings, highlighting tensions between creative integrity and commercial incentives. Read more

Apple’s M4 Chip for iPad Pro

Processor Introduction: Apple’s M4 chip, the latest and most powerful processor for the new iPad Pro, offers groundbreaking performance and efficiency.

Key Innovations: The M4 chip features a 10-core CPU, 10-core GPU, advanced AI capabilities, and power efficiency gains. These innovations enable superior graphics, real-time AI features, and all-day battery life. Read more

Google’s Pixel 8a Smartphone

Affordable Innovation: The Pixel 8a, Google’s latest affordable smartphone, is priced at $499 and packed with AI-powered features and impressive camera capabilities.

Key Highlights: The Pixel 8a features a refined design, dual rear camera, AI tools, and enhanced security. It also offers family-friendly features and 7 years of software support. Read more

OpenAI’s Media Manager Tool

Tool Development: OpenAI is building a Media Manager tool to help creators manage how their works are included in AI training data. This system aims to identify copyrighted material across sources.

AI Training Approach: OpenAI uses diverse public datasets and proprietary data to train its models, collaborating with creators, publishers, and regulators to support healthy ecosystems and respect intellectual property. Read more

Machine Learning in Sperm Whale Communication

Breakthrough Discovery: MIT CSAIL and Project CETI researchers have discovered a combinatorial coding system in sperm whale vocalizations, akin to a phonetic alphabet, using machine learning techniques.

Communication Insights: By analyzing a large dataset of whale codas, researchers identified patterns and structures, suggesting a complex communication system previously thought unique to humans. This finding opens new avenues for studying cetacean communication. Read more

Sam Altman’s Concerns About AI’s Economic Impact

CEO’s Warning: Sam Altman, CEO of OpenAI, has expressed significant concerns about AI’s potential impact on the labor market and economy, particularly job disruptions and economic changes.

Economic Threat: Studies suggest AI could automate up to 60% of jobs in advanced economies, leading to job losses and lower wages. Altman emphasizes the need to address these concerns proactively. Read more

AI Lecturers at Hong Kong University

Educational Innovation: HKUST is testing AI-generated virtual lecturers, including an AI version of Albert Einstein, to transform teaching methods and engage students.

Teaching Enhancement: AI lecturers aim to address teacher shortages and enhance learning experiences. While students find them approachable, some prefer human teachers for unique experiences. Read more

OpenAI’s NSFW Content Proposal

Content Policy Debate: OpenAI is considering allowing users to generate NSFW content, including erotica and explicit images, using its AI tools like ChatGPT and DALL-E. This proposal has sparked controversy.

Ethical Concerns: Critics argue it contradicts OpenAI’s mission of developing “safe and beneficial” AI. OpenAI acknowledges potential valid use cases but emphasizes responsible generation within appropriate contexts. Read more

Bumble’s Vision for AI in Dating

Future of Dating: Bumble founder Whitney Wolfe Herd envisions AI “dating concierges” streamlining the matching process by essentially going on dates to find compatible matches for users.

AI Assistance: These AI assistants could also provide dating coaching and advice. Despite concerns about AI companions forming unhealthy bonds, Bumble’s focus remains on fostering healthy relationships. Read more

Final Thoughts

This week’s updates showcase AI’s transformative power in areas like education, healthcare, and digital content creation. However, they also raise critical questions about ethics, job displacement, and intellectual property. As we look to the future, it’s essential to balance innovation with responsibility, ensuring AI advancements benefit society as a whole. Thanks for joining us, and stay tuned for more insights and updates in next week’s edition of “Last Week in AI.”

Last Week in AI: Episode 31 Read More »

An overview of the latest AI developments, highlighting key challenges and innovations in language processing, AI ethics, global strategies, and cybersecurity.

Last Week in AI: Episode 22

Welcome to this week’s edition of “Last Week in AI.” Some groundbreaking developments that have the potential to reshape industries, cultures, and our understanding of AI itself. From self-awareness in AI models, and significant moves in global AI policy and cybersecurity, and into their broader implications for society.

AI Thinks in English

AI chatbots have a default language: English. Whether they’re tackling Spanish, Mandarin, or Arabic, a study from the Swiss Federal Institute of Technology in Lausanne reveals they translate it all back to English first.

Key Takeaways:

  • English at the Core: AI doesn’t just work with languages; it converts them to English internally for processing.
  • From Translation to Understanding: Before AI can grasp any message, it shifts it into English, which could skew outcomes.
  • A Window to Bias: This heavy reliance on English might limit how AI understands and interacts with varied cultures.

Why It Matters

Could this be a barrier to truly global understanding? Perhaps for AI to serve every corner of the world equally, it may need to directly comprehend a wide array of languages.

Claude 3 Opus: A Glimpse Into AI Self-Awareness

Anthropic’s latest AI, Claude 3 Opus, is turning heads. According to Alex Albert, a prompt engineer at the company, Opus showed signs of self-awareness in a pizza toppings test, identifying out-of-place information with an unexpected meta-awareness.

Key Takeaways:

  • Unexpected Self-Awareness: Claude 3 Opus exhibited a level of understanding beyond what was anticipated, pinpointing a misplaced sentence accurately.
  • Surprise Among Engineers: This display of meta-awareness caught even its creators off guard, challenging preconceived notions about AI’s cognitive abilities.
  • Rethinking AI Evaluations: This incident has ignited a conversation on how we assess AI, suggesting a shift towards more nuanced testing to grasp the full extent of AI models’ capabilities and limitations.

Why It Matters

If chatbots are starting to show layers of awareness unexpected by their creators, maybe it’s time to develop evaluation methods that truly capture the evolving nature of AI.

Inflection AI: Superior Intelligence and Efficiency

Inflection-2.5, is setting new standards. Powering Pi, this model rivals like GPT-4 with enhanced empathy, helpfulness, and impressive IQ capabilities in coding and math.

Key Takeaways:

  • High-Efficiency Model: Inflection-2.5 matches GPT-4’s performance using only 40% of the compute, marking a leap in AI efficiency.
  • Advanced IQ Features: It stands out in coding and mathematics, pushing the boundaries of what personal AIs can achieve.
  • Positive User Reception: Enhanced capabilities have led to increased user engagement and retention, underlining its impact and value.

Why It Matters

By blending empathetic responses with high-level intellectual tasks, it offers a glimpse into the future of AI-assisted living and learning. This development highlights the potential for more personal and efficient AI tools, making advanced technology more accessible and beneficial for a wider audience.

Midjourney Update

Midjourney is rolling out a “consistent character” feature and a revamped “describe” function, aiming to transform storytelling and art creation.

Key Takeaways:

  • Consistent Character Creation: This new feature will ensure characters maintain a uniform look across various scenes and projects, a plus for storytellers and game designers.
  • Innovative Describe Function: Artists can upload images for Midjourney to generate detailed prompts, bridging the gap between visual concepts and textual descriptions.
  • Community Buzz: The community is buzzing, eagerly awaiting these features for their potential to boost creative precision and workflow efficiency.

Why It Matters

By offering tools that translate visual inspiration into articulate prompts and ensure character consistency, Midjourney is setting a new standard for creativity and innovation in digital artistry.

Authors Sue Nvidia Over AI Training Copyright Breach

Nvidia finds itself in hot water as authors Brian Keene, Abdi Nazemian, and Stewart O’Nan sue the tech giant. They claim Nvidia used their copyrighted books unlawfully to train its NeMo AI platform.

Key Takeaways

  • Copyright Infringement Claims: The authors allege their works were part of a massive dataset used to train Nvidia’s NeMo without permission.
  • Seeking Damages: The lawsuit, aiming for unspecified damages, represents U.S. authors whose works allegedly helped train NeMo’s language models in the last three years.
  • A Growing Trend: This lawsuit adds to the increasing number of legal battles over generative AI technology, with giants like OpenAI and Microsoft also in the fray.

Why It Matters

As AI technology evolves, ensuring the ethical use of copyrighted materials becomes crucial in navigating the legal and moral landscape of AI development.

AI in the Workplace: Innovation or Invasion?

Canada’s workplace surveillance technology is under the microscope. The current Canadian laws lag behind the rapid deployment of AI tools that track everything from location to mood.

Key Takeaways:

  • Widespread Surveillance: AI tools are monitoring employee productivity in unprecedented ways, from tracking movements to analyzing mood.
  • Legal Gaps: Canadian laws are struggling to keep pace with the privacy and ethical challenges posed by these technologies.
  • AI in Hiring: AI isn’t just monitoring; it’s making autonomous decisions in hiring and job retention, raising concerns about bias and fairness.

Why It Matters

There is a fine line between innovation and personal privacy and it’s at a tipping point. As AI continues to rapidly upgrade, ensuring that laws protect workers’ rights becomes crucial.

India Invests $1.24 Billion in AI Self-Reliance

The Indian government has greenlit a massive $1.24 billion dollar funding for its AI infrastructure. Central to this initiative is the development of a supercomputer powered by over 10,000 GPUs.

Key Takeaways:

  • Supercomputer Development: The highlight is the ambitious plan to create a supercomputer to drive AI innovation.
  • IndiaAI Innovation Centre: This center will spearhead the creation of indigenous Large Multimodal Models (LMMs) and domain-specific AI models.
  • Comprehensive Support Programs: Funding extends to the IndiaAI Startup Financing mechanism, IndiaAI Datasets Platform, and the IndiaAI FutureSkills program to foster AI development and education.
  • Inclusive and Self-reliant Tech Goals: The investment aims to ensure technological self-reliance and make AI’s advantages accessible to all society segments.

Why It Matters

This significant investment underscores India’s commitment to leading in AI, emphasizing innovation, education, and societal benefit. By developing homegrown AI solutions and skills, India aims to become a global AI powerhouse.

Malware Targets ChatGPT Credentials

A recent report from Singapore’s Group-IB highlights a concerning trend: a surge in infostealer malware aimed at stealing ChatGPT login information, with around 225,000 log files discovered on the dark web last year.

Key Takeaways:

  • Alarming Findings: The logs, filled with passwords, keys, and other secrets, point to a significant security vulnerability for users.
  • Increasing Trend: There’s been a 36% increase in stolen ChatGPT credentials in logs between June and October 2023, signaling growing interest among cybercriminals.
  • Risk to Businesses: Compromised accounts could lead to sensitive corporate information being leaked or exploited.

Why It Matters

This poses a direct threat to individual and organizational security online. It underscores the importance of strengthening security measures like enabling multifactor authentication and regularly updating passwords, particularly for professional use of ChatGPT.

China Launches “AI Plus” Initiative to Fuse Technology with Industry

China has rolled out the “AI Plus” initiative, melding AI technology with various industry sectors. This project seeks to harness the power of AI to revolutionize the real economy.

Key Takeaways:

  • Comprehensive Integration: The initiative focuses on deepening AI research and its application across sectors, aiming for a seamless integration with the real economy.
  • Smart Cities and Digitization: Plans include developing smart cities and digitizing the service sector to foster an innovative, tech-driven environment.
  • International Competition and Data Systems: Support for platform enterprises to shine on the global stage, coupled with the enhancement of basic data systems and a unified computational framework, underscores China’s strategic tech ambitions.
  • Leadership in Advanced Technologies: China is set to boost its standing in electric vehicles, hydrogen power, new materials, and the space industry, with special emphasis on quantum technologies and other futuristic fields.

Why It Matters

By pushing for AI-driven transformation across industries, China aims to solidify its position as a global technology leader.

Sam Altman Returns to OpenAI’s Board

Sam Altman is back on OpenAI’s board of directors. Alongside him, OpenAI welcomes Sue Desmond-Hellmann, former CEO of the Bill and Melinda Gates Foundation; Nicole Seligman, ex-President of Sony Entertainment; and Fidji Simo, CEO of Instacart, diversifying its board with leaders from various sectors.

Key Takeaways:

  • Board Reinforcement: Altman rejoins OpenAI’s board with three influential figures, expanding the board to eight members.
  • Diversity and Expertise: The new members bring a wealth of experience from technology, nonprofit, and governance.
  • Investigation and Governance: Following an investigation into Altman’s ouster, OpenAI emphasizes leadership stability and introduces new governance guidelines, including a whistleblower hotline and additional board committees.

Why It Matters

OpenAI’s board expansion and Altman’s return signal a commitment to leadership and enhanced governance. This move could shape the future direction of AI development and its global impact.

Final Thoughts

The challenges and opportunities presented by these developments urge us to reconsider our approaches to AI ethics, governance, and innovation. It’s clear that collaboration, rigorous ethical standards, and proactive governance will be key to implementing AI’s transformative potential responsibly. Let’s embrace these advancements with a keen awareness of their impacts, ensuring that AI serves as a force for good, across all facets of human endeavor.

Last Week in AI: Episode 22 Read More »