AI Talent Shortage

☕️ Happy Friday! Welcome back to my daily dive into the AI landscape.

♨️ According to TheNewStack, the AI field is facing a significant gap with only about 150,000 machine learning engineers worldwide amidst a rising demand, especially for large language model (LLM) developers. A potential solution lies in retraining existing software engineers. The journey begins with becoming a 'Prompt Engineer,' focusing on understanding AI model limitations and enhancing interaction through prompt design, which is seen as a short-term fix. While technical skills are crucial, incorporating human-centric skills like empathy and linguistic abilities are equally vital. The ongoing global chip shortage emphasizes the need for efficient computing, urging organizations to optimize LLM training and deployment. With training programs like Activeloop's Gen AI 360, there's a pathway for technologists to transition into this burgeoning field, bridging the AI engineer gap while addressing the evolving challenges in AI development. Read more here.

Reference: (Tech Works: How to Fill the 27 Million AI Engineer Gap)

🗞️ Today’s Highlights:

• LATEST NEWS & TRENDS — US Space Force Pauses Generative AI Use Based on Security Concerns

• INDUSTRY | FUNCTION — Humans Who Use AI Will Replace the Ones Who Don’t

• RESOURCES — State of AI Report 2023

• WORK — The Rise of Generative AI and the Jobs That Follow

• AI TOOLS — LangoTalk: Master a language faster by chatting with AI.

• CHARTS — Breaking Down Deloitte’s “Generative AI Dossier”

🗞️ LATEST NEWS & TRENDS

1️⃣ The US Space Force has temporarily halted the use of web-based generative AI tools including large language models due to data security concerns, per a memo. This affects the Guardian Workforce, preventing the use of government data with these tools unless approved. The pause comes despite the acknowledged potential of generative AI to significantly enhance operations. This decision impacts users of platforms like Ask Sage, highlighting a cautious approach towards AI adoption amid cybersecurity and data handling worries.

Reference: (US Space Force Pauses Generative AI Use Based on Security Concerns)

2️⃣ Google's AI-powered search engine SGE, akin to a web-connected ChatGPT, offers summarized answers but falls short of efficiency and accuracy. Despite its new image and text drafting features, it's overshadowed by ChatGPT's superior capabilities. However, with Google dominating the search market, the phrase "just Google it" remains unrivaled, showcasing users' preference despite SGE's current limitations.

Reference: (Get AI-powered overviews & ask follow-ups in Search)

3️⃣ Foundation models like OpenAI's are gaining traction in enterprises, especially for data analytics, offering speedy innovation. Yet, a critical choice looms: owning a private foundation model or leveraging a third-party one. Third-party models shine in quick prototyping with generic tasks but stumble when tailored enterprise knowledge is vital, escalating IP concerns. Private models, while resolving IP issues and offering control, demand hefty investment in AI expertise. An intermediary solution like Numbers Station advocates for private models, offering tailored solutions sans the need for a dedicated AI team, ensuring enterprises don't trade off data privacy and ownership in their quest for AI-empowered innovation.

Reference: (Private vs. Third-Party Foundation Models: Navigating the Path to an AI-Driven Future)

4️⃣ The essence of the text elucidates the transformative impact of generative AI on how we manage and interpret information. By automating information handling, these AI tools, although convenient, could reshape our cognitive processes and potentially narrow our perspectives. The text hints at a future where personalized AI could either augment our problem-solving skills or leave us in a cognitive bubble, underscored by biases. It suggests fostering AI literacy and building AI tools that propel human autonomy and critical contemplation as proactive steps towards harmonizing our interaction with AI.

Reference: (How generative AI could change the way we think)

5️⃣ In response to concerns of AI scraping their work for training, many writers on AO3 have restricted their pieces to registered users, potentially impacting newer authors by reducing guest traffic. This reaction stemmed from instances where AI tools, notably Sudowrite, generated content reflecting AO3's unique genres, causing a ripple in the fan fiction community. Despite measures advised by AO3 and individual protections, the discourse on AI's ethical boundaries in fan fiction continues, amidst varying levels of concern among writers and readers.

Reference: (Fearing AI, fan fiction writers lock their accounts)

🗞️ INDUSTRY | FUNCTION

In a dialogue with Caroline Carruthers from Carruthers and Jackson, Huma.AI's co-founders Lana Feng and Greg Kostello disclose their professional trajectories and the impetus behind Huma.AI. They emphasize the pivotal role of accurate data in healthcare and explore the synergy between Generative AI and human expertise. With diverse backgrounds, they aim to ease the data analysis process in healthcare, underlining the essence of human intelligence in harnessing AI, while addressing the industry's hesitations toward this technology. They envision AI as a catalyst to expedite drug development and tackle real-world healthcare challenges.

Reference: (Humans Who Use AI Will Replace the Ones Who Don’t)

🗞️ RESOURCES

The State of AI Report 2023, curated by AI investors Nathan Benaich and Air Street Capital, delves into notable AI advancements to foster educated discussions on AI's future implications. Reviewed by eminent AI professionals, it examines key facets like research, industry application, political regulation, safety measures against potential AI threats, and future predictions. Highlighted themes include GPT-4's superiority, efforts to replicate proprietary performance, real-world breakthroughs driven by LLMs, the booming compute industry, GenAI's funding success amid tech valuation dips, escalating safety debatehttps://www.stateof.ai/s, and the challenges in evaluating cutting-edge models for robustness.

Reference: (State of AI Report 2023)

Generative AI tools, growing in both number and capabilities, offer a spectrum of applications. Following are the main categories of tools:

1. Text to Text (TTT): Tools like ChatGPT generate text responses to textual queries, aiding in language translation, code generation, and more.

2. Text to Speech (TTS): Transforming text to audible speech, assisting in navigation or making textual content accessible to visually impaired individuals.

3. Text to Image (TTI): Creating or modifying images based on text descriptions, allowing for artistic or photorealistic image generation.

4. Text to Video (TTV): Generating videos from textual descriptions, enhancing informational, marketing, or artistic video creation.

5. Speech to Text (STT): Converting audio to text, facilitating transcription of meetings, interviews, or lectures.

6. Text to Audio (TTA): Generating music or sound effects from text, expanding audio creativity.

7. Image to Text (ITT): Translating image content to text, improving accessibility or enabling image analysis.

8. Image to Image (ITI): Modifying existing images based on user instructions, allowing for style transfer, correction, colorization, or super-resolution.

9. Image to Video (ITV): Creating video clips from images, catering to animation or immersive 3D scene creation.

10. Video to Video (VTV): Generating new videos from existing ones, enhancing video editing and animation with multimodal capabilities.

Reference: (10 categories of generative AI tools)

🗞️ WORK

Generative AI is reshaping the global work landscape, automating roles like data entry and legal research while birthing new, specialized jobs. It's making businesses smarter, driving efficiencies in operations from marketing to R&D. But fear not—AI isn't taking over completely. Jobs demanding critical thinking, creativity, and emotional intelligence are still human territory. To stay ahead, focus on the human strengths that AI can't replicate and get savvy about ethical and practical AI applications. It's not about replacement; it's about collaboration and evolution.

Reference: (The Rise of Generative AI and the Jobs That Follow)

🗞️ AI TOOLS

🔧 LangoTalk: Master a language faster by chatting with AI.

🔧 OpenRead: Experience the future with AI-powered interactive papers.

🔧 Observe.ai: Boost contact center performance and drive business outcomes. Faster.

🔧 Beautiful.ai: AI presentation software for the workplace.

🔧 PolyAI: Customer-Led Voice Assistants. Consistently deliver your best brand experience, achieve accurate resolution, and uncover data-driven business opportunities.

Disclaimer: 1) The tool descriptions are from the company behind each tool/app. 2) Please read the site details thoroughly before using and/or acquiring any of the tools listed above. We have not tested these tools and we will not be liable for anything.

🗞️ CHARTS

 👀  Deloitte's recent report, “The Generative AI Dossier,” tries GenAI’s impact. A sweeping look across industries—from finance and media to health care—reveals its transformative influence. This technology decodes consumer behaviors, streamlines tedious processes, and even fosters more personalized government-citizen relations. Gone are the days of AI as an experiment; it's now an established value driver guiding the next wave of enterprise evolution.

Reference: Unite.AI (Breaking Down Deloitte’s “Generative AI Dossier”)

Disclaimer: The audio-visual content is courtesy of the source provided above.

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