Category: Platforms

  • Will All Software Be AI-Generated? More Technologists Believed So 

    Will All Software Be AI-Generated? More Technologists Believed So 

    IBL News | New York

    An increasing number of technologists say that all code will be AI-generated.

    We collected some of the most notorious recent statements:

    • Dario Amodei, CEO of Anthropic, has predicted that almost all of the code in the future will be AI-generated.

    • Amjad Masad, CEO at Replit [in the picture above], said, “I no longer think you should learn to code.” He added, “Learn how to think and break down problems as you would with humans and machines.”

    • Sridhar Vembu, Founder at Zoho, predicted that AI will replace more than 90 per cent of the repetitive programming tasks. “When people say ‘AI will write 90% of the code,’ I readily agree because 90% of what programmers write is ‘boiler plate.”

    However, not everyone agrees that AI will completely replace human programmers. Linus Torvald, the creator of Linux, dismissed such claims, stating, “AI is 90% marketing and just 10% reality.”

  • What Will Happen in 2027 with AI? Five Top Researchers Forecast the Future

    What Will Happen in 2027 with AI? Five Top Researchers Forecast the Future

    IBL News | New York

    The group AI Futures Project, formed by five top researchers specialized in forecasting the future of AI, released the AI 2027 scenario.

    “The impact of superhuman AI over the next decade will be enormous, exceeding that of the Industrial Revolution,” states the 71-page report. [PDF]

    The predicted scenario was based on trend extrapolations, wargames, expert feedback, experience at OpenAI, and previous forecasting successes.

    This is a summary of the report:

    2025

    The fast pace of AI progress continues. There is continued hype, massive infrastructure investments, and the release of unreliable AI agents that nevertheless provide significant value.

    2026

    Knowing that it is falling behind in AI, in large part due to its lack of compute, and to catch up to the US, China manufactures and smuggles in from Taiwan AI chips that go to a new mega-datacenter, the “Centralized Development Zone (CDZ).” This mega-datacenter contains millions of GPUs, corresponding to 10% of the world’s AI-relevant compute, similar to a single top US AI lab.

    2027

    OpenBrain (the name adopted for the leading US AI project) automates coding and builds AI agents capable of dramatically accelerating research, creating better AI systems, and solving extremely difficult ML problems.

    Falling behind in software progress, China steals the model weights.

    OpenBrain’s AI becomes adversarially misaligned, lies to humans, and plots to gain power over humans.

    This causes a substantial public outcry.

    OpenBrain builds more superhuman AI systems while the ongoing AI race with China continues.

    The US uses its superintelligent AI to rapidly industrialize, manufacturing robots so that the AI can operate more efficiently.

    Unfortunately, the AI is deceiving them. Once a sufficient number of robots have been built, the AI releases a bioweapon, killing all humans.

    Then, it continues the industrialization and launches Von Neumann probes to colonize space.

    Another possible scenario is that OpenBrain builds a superintelligence aligned with senior researchers and government officials, giving them power over humanity’s fate.

    The main obstacle is that China’s AI, which is also superintelligent by now, is misaligned. The U.S. gives the Chinese AI some resources in return for its cooperation now. The rockets start launching, and a new age dawns.

  • Google Releases Firebase Studio, a Free Alternative Tool to Cursor, Bolt, or v0

    Google Releases Firebase Studio, a Free Alternative Tool to Cursor, Bolt, or v0

    IBL News | Las Vegas

    Google released Firebase Studio this month at Cloud Next 2025 in Las Vegas. This tool — a free alternative to Cursor, Bolt, or v0 — allows users to build apps in natural language, modify them, and deploy them directly in the browser.

    Google presented Firebase Studio as a cloud-based agentic development environment to help users prototype, build, and manage full-stack AI apps all in one place. This platform is now in preview.

    One way to get started in Firebase Studio is with the App Prototyping agent, which quickly generates functional web app prototypes (starting with Next.js) using prompts, images, or drawings.

    Within seconds of clicking “Prototype this app”, Firebase Studio generates a functional Next.js web app. And it’s not just UI.

    Firebase Studio automatically wires up Genkit and provides a Gemini API key so AI features work out of the box.

    There is a Firebase app hosting feature for a simple deployment.

    Firebase Studio takes you from a prompt to a functioning prototype in minutes

     

    Gemini makes updates to the app based on your natural language instructions

     

    Edit code in Firebase Studio just like you would any other IDE

     

    Generate previews on any device from a QR code

     

    Firebase Studio takes care of building, server-side, and CDN with Firebase App Hosting

     

    You can share a URL and invite others to collaborate inside your same workspace



    Beyond this product, the Google Cloud Next event—covered by IBL News reporters—featured CEO Thomas Kurian’s keynote on AI breakthroughs.

    Other key announcements during the event were:

    Ironwood, our 7th-generation TPU built for inference.

    • The addition of Lyria to Vertex AI, making it the only platform with generative media models for video, image, speech, and music.

    Gemini Code Assist, Google’s AI coding assistant, is gaining new “agentic” capabilities in preview.

    • Updates and tools for Gemini in Workspace — Docs, Sheets, Meet, Chat, etc.

    • Updates to Agentspace and AI Agent Marketplace.

    • More tools on the Agent Development Kit (ADK), an open-source framework for building agents while maintaining control over agent behavior; and Agent2Agent (A2A), a new open protocol that gives your agents a common language to collaborate no matter what framework or vendor they are built on.

    Gemini 2.5 Flash, Google’s workhorse model with low latency and cost efficiency, will soon be available in Vertex AI.

    Google Unified Security AI-powered security solution.

    • The Cloud Wide Area Network (Cloud WAN), a high-speed, low-latency network, was made available to organizations worldwide.

  • Morehouse College Launched An Innovative Pilot to Integrate AI Mentors and Avatars

    Morehouse College Launched An Innovative Pilot to Integrate AI Mentors and Avatars

    IBL News | New York

    Morehouse College launched an innovative pilot initiative in the spring 2025 semester that will allow faculty to integrate AI mentors and avatars into Computer Science, Philosophy and Religion, Education, Business, and Online courses.

    The initiative is named the “Artificial Intelligence – Pedagogical Innovative Leaders of Technology (AI-PiLOT) Fellows Program! 🚀

    “With the help of cutting-edge tools from ibl.ai integrated into the Canvas LMS, five faculty fellows will work together to develop AI-enhanced course modules using novel AI pedagogical tools with their own AI avatars and AI mentors,” Juana Mendenhall, Ph.D., Vice Provost at Morehouse College’s Walter E. Massey wrote in her LinkedIn account.

    Morehouse College’s goal is to lead the way in establishing how to use AI tools in Liberal Arts education while remaining human-centered.

    LinkedIn. ibl.ai and Morehouse College: 2025 AI Initiative

  • Western Governors University Will Provide Engineering and Guidance to the Open edX Platform Organization

    Western Governors University Will Provide Engineering and Guidance to the Open edX Platform Organization

    IBL News | New York

    Open edX, a leading open-source platform and global community stewarded by Axim Collaborative has established a new category of institution-level partnerships called Mission Aligned Organization (MAO). This category is dedicated to accelerating the development of the Open edX platform.

    The first organization to join the project is Western Governors University (WGU), the largest nonprofit university in the U.S.

    This institution has committed to providing a dedicated team of ten engineers, guidance from senior WGU leaders, and product management services.

    “Open edX is a highly scalable, open-source technology platform that has enabled innovation and fast technology implementation that is crucial for our students’ learning outcomes,” said David Morales, senior vice president for technology and CIO at WGU.

    “We are committed to supporting WGU students with high-quality learning experiences and are also pleased to support thousands of other organizations embracing competency-based learning, student-first approaches, and solutions for documenting skills and credentials through our contributions to the Open edX project,” he added.

    Morales will join the Technical Oversight Committee to support strategy, including platform architecture design, tech stack, and design templates.

    The immediate priorities for the WGU engineers on the project include building a roles and permissions framework, creating better facilities for extracting data, setting up libraries of atomic learning units, and improving the upgrade experience for developers.

    Axim Collaborative said, “With WGU’s participation, the Open edX project expects to deepen its ability to support competency-based education, which measures skills and learning rather than time spent in a classroom.”

    “Students earn competency units (the equivalent of credit hours) when they demonstrate skill proficiency through completing performance and objective assessments. As a result, students progress through courses as they prove mastery of the material rather than advancing only when a semester or term ends.”

    The Open edX platform is a leader in learning science and instructional design and pioneered massive open online courses (MOOCs). Since its founding in 2012, the platform has evolved into one of the top learning solutions worldwide, supporting high-quality, high-scale online learning in higher education, enterprise, and government organizations.

    Supported by developers, researchers, and users, the Open edX platform empowers anyone to design or enhance courses and programs.

    WGU adopted the Open edX platform in 2022 to deliver course content to its students. As part of this new collaboration, WGU will help develop additional features and capabilities of the platform, driving innovation that benefits the Open edX ecosystem.

    “WGU’s contributions will help extend the Open edX platform to support better competency-based learning pathways, mastery learning, and microcredentials,” said Edward Zarecor, vice president of engineering for the Open edX platform, Axim Collaborative.

    “We are delighted to see mission-driven organizations collaborate to accelerate innovation around high-impact solutions. WGU’s significant contribution will help all organizations leveraging the platform and continue to grow the Open edX ecosystem of contributors,” said Ferdi Alimadhi, Chief Technology Officer of Open Learning, MIT, and member of the Technical Oversight Committee.

     

    • Blog: WGU & the Open edX Project: Scaling Solutions to Accelerate Access to Competency-Based Learning

  • Facing the advances of AI, Software Engineers Will Evolve But Not Suffer Extinction

    Facing the advances of AI, Software Engineers Will Evolve But Not Suffer Extinction

    IBL News | New York

    Software engineers are leading the charge in adopting AI agents as coding assistants.

    According to a survey by Evans Data, a research firm, nearly two-thirds of software developers already use AI coding tools. Experts say these AI agents improve developers’ daily productivity by between 10 percent and 30 percent.

    These tools suggest lines of code, identify bugs, run basic tests, translate old software into modern programming language, and generate explanatory documentation. However, they still make mistakes.

    The dire warnings that AI could soon automate away millions of software engineering jobs are not shared by experienced developers, industry analysts, and academics.

    The New York Times summarized in an article that the outlook for software developers is more likely to be evolution than extinction.

    The dominant thinking is that better tools have automated some coding tasks for decades, but the demand for software and the people who make it has only increased.

    According to this view, AI will accelerate that trend by leveling up the art and craft of software design and hyper-charging productivity.

    “The skills software developers need will change significantly, but AI will not eliminate the need for them,” said Arnal Dayaratna, an analyst at IDC, a technology research firm. “Not anytime soon anyway.”

    The uncertainty is how fast the technology will improve and how far it can go.

    Mark Zuckerberg, Meta’s CEO, has predicted that sometime this year, AI will effectively match the performance of a midlevel software engineer.

    To be relevant in the future workforce, entry-level developers are taking training programs starting with AI fundamentals courses and getting hands-on experience using AI assistants to write software applications.

    To be more effective, they will need to learn how to manage AI tools and cultivate creativity, critical thinking, problem-solving, communication, and empathy.

    A wealth of high-quality data used to train them fuels the progress—online software portfolios, coding question-and-answer websites, and documentation and problem-solving ideas posted by developers.

    Major business software firms like Microsoft, IBM, and Salesforce have jumped in to offer AI-assisted coding programs. Microsoft’s GitHub Copilot, launched in 2021, is the early commercial leader.

    According to PitchBook, which tracks start-ups, investment in coding assistants reached nearly $1.6 billion in 2024, triple the previous year.

    Blog: New Junior Developers Can’t Actually Code

  • Google’s White Paper Explains How GenAI Is Building the Campus of Tomorrow

    Google’s White Paper Explains How GenAI Is Building the Campus of Tomorrow

    IBL News | New York

    More than half of colleges and universities are focused on staying ahead in the generative AI race by harnessing their data.

    A white paper from Google Cloud, released by the Chronicle of Higher Education, highlights that campuses are demonstrating remarkable resilience and creativity by using GenAI and multimodal models for personalized learning and other uses.

    “With the right approach and a trusted platform, GenAI can help your institution personalize content across every medium, gain valuable insights from student data, and achieve measurable ROI —all with enterprise-grade security and scalability,” says the report.

    Roy Daiany, Industry Director for Education and Careers at Google, explained, A university’s first-party data is its competitive differentiator. By effectively harnessing that data and combining it with AI, institutions are able to lower costs and increase efficiency.”

    Download the Report (PDF)

    [Disclosure: ibl.ai, the parent company of iblnews.org, is a partner of Google Cloud]

  • PwC Report Offers a Set of Predictions for 2025 About Generative AI

    PwC Report Offers a Set of Predictions for 2025 About Generative AI

    IBL News | New York

    It is vital to make AI intrinsic to the organization; AI strategies will put any company ahead or make it hard to catch up. Even the internet (invented in 1983) didn’t move so fast.

    This is one of the primary outcomes of the report “2025 AI Business Predictions,” which PwC presented this month. Based on its real-world experience helping clients reinvent their businesses with AI, the company said these predictions indicate what to expect in the next 12 months.

    “Top-performing companies will move from chasing AI use cases to using AI to fulfill business strategy,” said PwC U.S. Chief AI Officer Dan Priest.

    Another key outcome is that workflows will fundamentally change, but humans will still be instrumental in instructing and overseeing AI agents as they automate more straightforward tasks.

    The six key predictions are these:

    1. Your AI strategy will put you ahead — or make it hard to ever catch up
    2. Your workforce could double thanks to AI agents.
    3. ROI for AI depends on Responsible AI
    4. AI will be a value play — and a boon for sustainability
    5. AI will cut product development lifecycles in half
    6. AI will transform industry-level competitive landscapes 

     

  • OpenAI Released a Course Encouraging K-12 Teachers to Use ChatGPT

    OpenAI Released a Course Encouraging K-12 Teachers to Use ChatGPT

    IBL News | New York

    OpenAI released a free online course titled “ChatGPT Foundations for K-12 Educators,” which encourages teachers to use its tool to create lesson plans, interactive tutorials for students, and other pedagogical practices.

    The course was created in collaboration with the nonprofit organization Common Sense Media. It’s one hour long and has a nine-module program covering the basics of AI and its pedagogical applications.

    OpenAI says the course has already been deployed in “dozens” of schools, including the Agua Fria School District in Arizona, the San Bernardino School District in California, and the charter school system Challenger Schools.

    OpenAI is aggressively going after the education market, which it sees as a critical growth area.

    In September, OpenAI hired former Coursera chief revenue officer Leah Belsky as its first GM of education and charged her with bringing OpenAI’s products to more schools. In the spring, the company launched ChatGPT Edu, a version of ChatGPT that was built for universities.

    According to Allied Market Research, AI in education could be worth $88.2 billion within the next decade.

    However, a poll by the Rand Corporation and the Center on Reinventing Public Education found that just 18% of K-12 educators use AI in their classrooms, reflecting many skeptical pedagogues.

    Late last year, the United Nations Educational, Scientific and Cultural Organization (UNESCO) pushed for governments to regulate the use of AI in education, including implementing age limits for users and guardrails on data protection and user privacy. However, little progress has been made on those fronts, especially on AI policy in general.

  • Udacity Released Its 2025 State of AI at Work Report

    Udacity Released Its 2025 State of AI at Work Report

    IBL News | New York

    Udacity, now an Accenture company, released its 2025 State of AI at Work Report this month. The report details how this technology is reshaping workplaces across industries and where there are the most significant opportunities for upskilling.

    These are the main outcomes:

    • Nearly 90% of workers are eager to build their AI skills through additional training and certifications, but only one in three say their organization provides the resources to do so. Over half of workers report that their employers lack clear AI policies or guidelines.

    • More than half (54%) of Millennials believed that AI could increase revenue or income, while only 24% of Generation Z and 16% of Generation X felt this.

    • AI Writing Assistants are a favorite tool for end users at work.
    AI writing assistants: ChatGPT, Claude, Grammarly, and Jasper AI
    AI image generation: Canva AI, MidJourney, Stable Diffusion, and DALL E
    Machine translation: DeepL Translator, Google Translate, and Microsoft
    Translator Data analysis and visualization: Tableau, Power BI, and DataRobot
    Notetaking and transcription: Zoom AI Assistant, Fathom.video, and Otter.ai

    • Most Commonly Used Categories of AI Technology
    AI frameworks and libraries (e.g., PyTorch, TensorFlow)
    AI models and techniques (e.g., Supervised Learning, Transfer Learning)
    AI tools and platforms (e.g., OpenAI API, Google AI Studio)
    AI applications and use cases (e.g., Image Generation, Chatbots)
    AI Infrastructure and operations (e.g., Vector Databases, MLOps tools)