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🚹 OpenAI wants to replace LinkedIn and control on recruitment

Plus, 4 more crazy AI updates in this week’s edition – don’t miss out 👇

Author

Avinash Mada
September 11, 2025

In partnership with

Welcome to the Future//Proof 🚀 

👋 Hello , the AI Enthusiast.

In this week’s edition, we brought AI updates backed by high-quality research and data to give you deeper insights. You'll find the Top AI Breakthrough of the Week, a featured AI tool with a mini-tutorial, learning resources to help you master these tools, the top 3 AI news stories, and more.

Our goal is to help you improve your knowledge and stay ahead in the rapidly evolving AI landscape. You can submit your questions, queries, thoughts, opinions or anything regarding AI as a reply to this email and we'll feature and address them in our next newsletter.

🚀 Now Let’s dive in and explore the new AI Insights together!

⌛ Read Time: 6m:03s

How 433 Investors Unlocked 400X Return Potential

Institutional investors back startups to unlock outsized returns. Regular investors have to wait. But not anymore. Thanks to regulatory updates, some companies are doing things differently.

Take Revolut. In 2016, 433 regular people invested an average of $2,730. Today? They got a 400X buyout offer from the company, as Revolut’s valuation increased 89,900% in the same timeframe.

Founded by a former Zillow exec, Pacaso’s co-ownership tech reshapes the $1.3T vacation home market. They’ve earned $110M+ in gross profit to date, including 41% YoY growth in 2024 alone. They even reserved the Nasdaq ticker PCSO.

The same institutional investors behind Uber, Venmo, and eBay backed Pacaso. And you can join them. But not for long. Pacaso’s investment opportunity ends September 18.

Paid advertisement for Pacaso’s Regulation A offering. Read the offering circular at invest.pacaso.com. Reserving a ticker symbol is not a guarantee that the company will go public. Listing on the NASDAQ is subject to approvals.

An in-depth look at a major AI development, its industry impact, how it could affect your career, and a bold future prediction.

❝

OpenAI proposes new evaluation standards to reduce false answers

OpenAI’s latest research explains why large language models generate false answers: current training regimes reward correct guesses but give zero credit when the model admits uncertainty. This incentive structure hardwires systems to “always answer,” even when they don’t know, leading to confident but wrong outputs. In controlled tests like asking for specific birthdays or dissertation titles models consistently produced different, equally confident mistakes. The paper proposes a redesign of evaluation metrics that penalize confident errors more than honest uncertainty. This shift could redefine AI reliability, prioritizing truthfulness over benchmark scores and opening a path toward models that know when not to answer.

Potential Impact

This research directly affects high-stakes domains where hallucinations are unacceptable: healthcare diagnostics, financial forecasting, and legal or compliance work. Systems that can reliably decline to answer when unsure will gain trust in regulated industries. Developers building copilots, enterprise search, and research assistants could integrate “uncertainty-aware” responses, reducing liability while boosting adoption. For enterprises, this means more dependable automation and fewer costly errors in workflows where misinformation carries real financial or reputational risk.

Implications for People/Careers

Roles that depend on fact verification—analysts, researchers, compliance officers will shift from double-checking AI outputs to managing uncertainty thresholds. Junior staff once tasked with fact-checking may see parts of their role automated, while senior professionals who design workflows around uncertainty-aware AI will gain leverage. Careers tied to rote content generation will erode, while expertise in auditing, prompt engineering, and AI evaluation metrics will rise in demand. The shift is blunt: jobs built on catching machine errors decline, jobs built on designing trust systems for machines grow.

Our Future//Take

This marks the beginning of a new standard: honesty as a competitive edge in AI. Expect labs to race toward models that say “I don’t know” with confidence, and regulators to favor them. If you’re building products, start testing for uncertainty and incorporate refusal modes into your UX. If you’re in education or workforce planning, emphasize skills in model evaluation and interpretability, not just usage. The future of AI adoption hinges on trust, and the companies that solve for reliability not raw cleverness will control the next decade of enterprise AI. Master AI for FREE 🎁

Quick summaries of this week's top AI news, their relevance to your career, and our expert opinions.

OpenAI is launching a jobs platform to connect businesses with AI-skilled workers, paired with a certification program inside ChatGPT to validate AI fluency. Partnering with Walmart and other employers, OpenAI will offer tiered certifications that measure practical AI literacy, with a stated goal of certifying 10 million Americans by 2030. The move builds on the OpenAI Academy and coincides with White House initiatives on AI literacy and workforce development. By combining training and placement, OpenAI is positioning itself not just as a toolmaker but as a labor-market infrastructure player. This directly challenges LinkedIn’s dominance in talent matching while addressing the looming skills gap for businesses and governments adopting AI. If successful, it accelerates both AI adoption in the workplace and the retraining of displaced workers, making AI literacy a baseline skill for employment rather than a niche advantage.

Why It Matters to You

This shift means AI literacy will no longer be optional. Whether you’re building a startup, scaling a team, or freelancing, employers will start filtering for certified AI skills the way they once did for Excel or coding. If you can’t demonstrate fluency, you’ll be shut out of new opportunities. If you can, you’ll move faster than peers and tap into high-demand roles across industries. The clock is ticking to get ahead of this curve—don’t wait for the market to demand proof of your skills before you have it.

Our Take

OpenAI is betting on becoming the credentialing layer for the AI economy, and this won’t stay optional for long. Expect certifications to become table stakes for knowledge workers, just as LinkedIn became unavoidable for professional identity. If you’re building products, integrations with these credentials will create a moat. If you’re an individual, your edge is to adopt early and build demonstrable fluency. Watch for employers to start requiring OpenAI certification in job postings within 12–18 months, especially in Fortune 500s and public sector contracts. Treat this as an onramp, not an afterthought.

DeepSeek, the Hangzhou based startup, is developing an AI agent with multi step capabilities and autonomous learning, targeting release in late 2025. The agent is designed to go beyond simple Q&A and act on behalf of users by carrying out workflows, improving through feedback, and executing tasks with minimal direction. Earlier this year, DeepSeek’s R1 platform outperformed benchmarks while being cost efficient, and the company now aims to extend that edge into agents that can function more like digital workers than chatbots. This move aligns with the global shift from static large language models to autonomous agents capable of handling complex, multi step processes. If successful, DeepSeek will force a reset in user expectations, raising the bar for what people demand from AI systems while positioning itself as a serious challenger to OpenAI and Anthropic.

Why It Matters to You

If you’re building products or services with AI, DeepSeek’s new agent signals a shift in how users will interact with technology. The model of “prompt and response” is being replaced by agents that can handle multi step workflows over time. That means you need to think about integration points, APIs, and systems that support autonomous action. Cost efficiency is also a key factor, which could make these tools accessible to wider audiences faster. The bottom line: if your stack isn’t agent ready, you risk being outpaced when users start expecting this level of functionality as standard.

Our Take

DeepSeek is making a bold move into agentic AI, betting that autonomy, not just intelligence, will define the next wave. This is the same direction OpenAI and others are moving, but DeepSeek is racing to position itself as a cost effective alternative. Expect 2026 to be the year agents become mainstream across productivity, research, and software development. You should prepare by experimenting with modular agent frameworks, building systems that can tolerate feedback loops and task persistence, and monitoring safety implications closely. The companies and founders who design around agents now will own the advantage when adoption tips. 👉 Do Not Delay Anymore - Master AI Before Its Too Late.

AlterEgo (Boston) introduced a wearable interface that decodes neuromuscular signals from the jaw and throat when you internally “speak” words (without vocalizing) and turns them into text or device commands. It uses machine-learning models trained on subtler facial/throat muscle activations, plus bone-conduction audio to give users private feedback. The tech builds on research from MIT’s Media Lab (2018 prototype) with the goal of making a non-invasive alternative to brain implants or bulky EMG hardware. The company hasn’t shared pricing or full launch dates, but plans to show it publicly at the Axios AI+ Summit in mid-September 2025. Potential applications include silent control in noisy environments, private commands, and restoring speech ability in people who can’t speak.

Why It Matters to You

You’ll need to rethink interfaces. If users can issue commands silently—no voice, no screen, no keyboard—that shifts UX expectations. For product-builders, this opens up new interaction paradigms: invisible input, minimal friction, high privacy. If you’re in accessibility, healthcare, or enterprise (where privacy or noise are constraints), this could become a competitive edge. If you wait till mainstream, you’ll be playing catch up with companies embedding silent-speech or neuromuscular control in their products.

Our Take

This device marks a boundary shift from “assistive tech novelty” to “interaction backbone.” I expect companies will start integrating subvocal communication as an option in wearables and AR/VR gear within 18-24 months. You should begin prototyping for silent input modes now. Make sure your products can accept commands without speech or touch. Also map out privacy implications, user training, calibration issues, they’ll make or break adoption. Whoever gets this right first wins a lot of trust and stickiness.⚡AI Mastery for FREE (Sign up Now).

Discover a comprehensive guide to an AI tool, exploring its features, practical use cases, and learning resources to help you master it.

đŸ—Łïž Delphi AI

Delphi AI is an innovative platform that enables experts, influencers, and professionals to create AI-driven digital clones of themselves, facilitating scalable and personalized interactions with their audience.

⭐ Top Features

  • Digital Cloning Technology: Allows users to create AI replicas by uploading content such as videos, podcasts, and documents, capturing their unique knowledge and communication style.

  • Natural Language Processing: Employs advanced NLP to ensure interactions with digital clones are coherent and contextually relevant, enhancing user engagement.

  • Expert Marketplace: Provides a platform where users can access a variety of digital clones across different domains, offering personalized advice and insights from various experts.

  • Predictive Analytics: Offers tools for forecasting business outcomes and understanding customer intent, aiding in the development of hyper-personalized experiences.

  • Monetization and Analytics: Enables experts to monetize their digital clones and provides analytics to understand audience engagement, refining content strategies effectively.

📚 Resources for Learning

A curated list of noteworthy AI tools and their key details to help you stay ahead in your field.

Imagen 3 is an advanced AI image generation model by DeepMind, designed for creating photorealistic and stylized visuals from text prompts. It offers unmatched image fidelity and context-aware designs, making it a powerful tool for artists, marketers, and developers who need high-quality visual content quickly and efficiently.

Conversed is a conversational AI platform built for customer support and sales automation. With capabilities like natural language understanding and sentiment analysis, Conversed provides businesses with chatbots that deliver personalized and efficient customer interactions, boosting satisfaction and streamlining operations.

Postiz is an AI-driven social media management tool that simplifies scheduling, optimizing, and analyzing posts across platforms. It provides content suggestions, engagement insights, and automated posting, helping businesses maintain a consistent online presence and grow their audience effortlessly.

Focusee is an AI-powered productivity tool that helps users manage tasks and minimize distractions. By offering time-blocking, focus-enhancing techniques, and insightful analytics, Focusee enables users to stay on track and achieve their goals efficiently, whether working remotely or in-office.

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