AI Forum

This past week, OpenAI dropped a powerful update: GPT-4o can now generate images – and not just any images, but ones with customized styles. Whether you're into fantasy illustrations, educational graphics, or marketing visuals, this update opens a whole new world of creative possibilities. Here are

Where do we truly see the AI landscape evolving? Artificial intelligence has moved from research labs to the heart of business operations. Tools like ChatGPT or Copilot can write, summarize, and generate ideas but they are fundamentally processing engines, not automatic transformers of business. The

🔗https://www.oneusefulthing.org/p/real-ai-agents-and-real-work?utm_source=substack&utm_medium=email By Ethan Mollick 1. Introduction Mollick opens by pointing out that AI has quietly crossed a threshold: it can now complete tasks that have real economic value. He cites a recent OpenAI test in wh

🔗https://thinkingmachines.ai/blog/defeating-nondeterminism-in-llm-inference/?utm_source=substack&utm_medium=email 1. Introduction The paper begins by addressing a problem many AI developers face but rarely fully understand: why do LLMs (like ChatGPT) produce different outputs even when using gree

🔗 https://supabase.com/state-of-startups?utm_source=substack&utm_medium=email 1. Who’s Building Startups • Founders are overwhelmingly technical and under 40, with most building their first company. • Startups are mostly bootstrapped or at early stages of funding. They are small teams,

🔗https://shre.ink/GenAI-Assessment-Framework-GAF by Anushrut Gupta 1. Motivation Enterprises are racing to integrate Generative AI, but many struggle to pick the right tools or prioritize effectively. This article introduces the need for a durable and actionable framework that helps map business

https://www.wsj.com/tech/ai/alibaba-ai-chip-nvidia-f5dc96e3 • Alibaba was long one of the biggest customers of American AI-chip leader Nvidia • Now it and other chip designers are filling the void left after Nvidia ran into regulatory barriersto selling its products in China. • Alibaba, founde

🔗https://shre.ink/OpenAI-expanding-economic-opportunity-with-AI by Fidji Simo The article “Expanding economic opportunity with AI” by Fidji Simo, CEO of Applications at OpenAI, opens with a fundamental question: What do recent AI advancements mean for your job or your business? The answer: AI has

🔗Seizing the agentic AI advantage | McKinsey 1. The Gen AI Paradox: Widespread Deployment, Minimal Impact McKinsey coins the term "gen AI paradox" to describe a striking disconnect: nearly 80% of organizations have adopted generative AI—but about the same percentage report no significant impact o

🔍 What’s Going On? Earlier this month, Meta (the company behind Facebook and Instagram) bought nearly half of Scale AI, a startup that provides labeled data for training AI models. That deal was worth around $14–15 billion. But there’s a catch: Big clients like Google and OpenAI didn’t like that M

🔗https://shre.ink/Tobias-Zwingmann-Open-Source-AI By Tobias Zwingmann 1. The Open Source AI Explosion In just the past couple of months (from around June to August 2025), open-source AI has surged. Models like Kimi K2, Qwen3, GLM 4.5—and even a new open-source model from OpenAI—now match or surpa

🔗https://shre.ink/developers-reinvented 1. A Transformation in the Making Software development is changing fast—driven by the integration of AI tools like GitHub Copilot, ChatGPT, and others. Developers once skeptical of these tools are now embracing them, moving through a learning journey that b

🔗https://ig.ft.com/ai-data-centres/ The world is witnessing an extraordinary transformation—a global arms race for AI infrastructure that is reshaping the physical and economic landscape of technology. As companies chase breakthroughs in artificial intelligence, they are also racing to secure the

Interesting article trying to forecast how the world will change as GAI evolves with more sophisticated tools and agents. At the end of 2027, two scenarios are contemplated. https://ai-2027.com/

Microsoft just analyzed 200,000 conversations with Bing Copilot to reveal the jobs and tasks people are currently delegating to AI, investigating which occupations will be most and least impacted by the rapidly transforming workforce. Physical and hands-on jobs are still the safest bet

Elon Musk’s artificial intelligence startup xAI has hired two former Nvidia researchers to accelerate the development of advanced “world models”—AI systems designed to understand and navigate real environments, beyond traditional text-based language models. This move positions xAI in direct competi

Executive summary (what this is, why it matters) Perplexity describes how they built a web-scale Search API designed for AI agents/models—not humans. Two pillars stand out: (1) an AI-native architecture that retrieves and ranks at span/sub-document level with hybrid (lexical + semantic) retrieval a

Search is undergoing a profound shift: from classic SEO built on “10 blue links” to GEO, where LLM-powered engines (ChatGPT with search, Google SGE/Gemini, Perplexity) deliver direct, cited answers. Queries are longer and more conversational, and systems remember context, reason across sources, and

Introduction AI agents represent a new paradigm in software engineering, empowering startups to automate workflows, create novel user experiences, and tackle previously impossible problems. However, going from prototype to production requires solving challenges around reliability, grounding, scalab

🔗 https://shre.ink/Learning-how-to-learn By Derek Gatopoulos Demis Hassabis, CEO of DeepMind and 2024 Nobel laureate, delivered a speech in Athens in which he emphasized that the most essential skill for the next generation will be “learning how to learn.” He argued that as AI transforms education

Interesting article from Fortune (by Jeremy Khan) - see below link and the MIT report. https://fortune.com/2025/08/21/an-mit-report-that-95-of-ai-pilots-fail-spooked-investors-but-the-reason-why-those-pilots-failed-is-what-should-make-the-c-suite-anxious/

🔗https://shre.ink/ChatGPT-buzzwords-in-everyday-speech by McKenzie Harris The article uncovers a fascinating shift in how we speak. Researchers from Florida State University’s Departments of Modern Languages and Linguistics, Computer Science, and Mathematics analyzed whether certain AI‑style buzzw

🔗 https://www.factory.ai/context-window-problem?utm_source=substack&utm_medium=email by Varin Nair 1. Critical Context for Effective Agents Large language models (LLMs) are limited to around 1 million tokens in their context window. In contrast, enterprise monorepos and the surrounding knowledge

🔗https://hackernoon.com/the-crossroads-of-ai-unpacking-the-divergent-futures-envisioned-by-zuckerberg-and-lecun by Anthony Laneau 1. Yann LeCun’s Blueprint: The Open‑World Architect Yann LeCun, Meta’s Chief AI Scientist and deep learning pioneer, champions a philosophy of radical openness and a b

The rollout of 𝐆𝐏𝐓-𝟓 should have been a world-changing moment. Instead, it sparked frustration: technical glitches, low rate limits, a now-viral “𝐜𝐡𝐚𝐫𝐭 𝐜𝐫𝐢𝐦𝐞”, and the sudden removal of 𝐆𝐏𝐓-𝟒𝐨 — a model users valued for its 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐭𝐲 and 𝐞𝐦𝐨𝐭𝐢𝐨𝐧𝐚𝐥 𝐢𝐧𝐭𝐞𝐥�

🔗https://go.stripe.global/rs/072-MDK-283/images/Indexing_the_AI_economy_EN-GB.pdf?utm_source=substack&utm_medium=email 1. Introduction The AI economy is booming. Stripe’s data shows AI companies are growing faster, reaching customers globally sooner, and creating new business models. This new wav

🔗https://shre.ink/Anthropic-Persona-Vector Anthropic's new research on persona vectors offers a groundbreaking way to measure and guide the personality traits of large language models (LLMs). As these models become central to sensitive tasks — from customer support to mental health — ensuring they

➡️ More than a third (36%) of investors say
 social media is a top source for financial news ➡️ Though more than half (53%) of respondents report using generative AI for financial purposes at least once a month ➡️ 30%
 said they trust AI to give them financial advice ➡️ 26% would let AI manage th

🔗https://www.wissen.com/blog/from-agile-to-platforms-why-genai-demands-a-new-cio-playbook 1. Agile for the Cloud Era: A Solid Foundation For years, agile methodologies have powered the cloud revolution. Enterprises adopted agile to deliver faster, collaborate better, and prioritize customer-centr

🔗 Call Me A Jerk: Persuading AI to Comply with Objectionable Requests - Wharton Generative AI Labs 1. How We Tested AI’s Social Behavior The researchers designed a rigorous experimental setup with 28,000 conversational trials using GPT‑4o‑mini. They tested whether the seven classic persuasion pri