💼 ChatGPT wants to help you land your next job

OpenAI is testing a new feature tentatively called ChatGPT Jobs, aimed at job search, career navigation, and professional growth.

🔸 The feature is not publicly available yet, but early details suggest a full-stack assistant for job seekers.

🔸 ChatGPT Jobs will help users improve and tailor their resumes based on role, industry, and seniority level.

🔸 It will identify suitable job openings by matching skills, experience, and career goals not just keywords.

🔸 Users will get interview guidance, including how to answer questions, position strengths, and avoid common mistakes.

🔸 The system is expected to find, compare, and evaluate job offers, helping users weigh compensation, role scope, and growth potential.

🔸 The goal appears to be reducing reliance on traditional job boards and recruiters by turning ChatGPT into a career copilot. No official launch date has been announced.

If this works as intended, job hunting may shift from scrolling listings to having an AI actively represent your interests in the market.

📊 @tech

🔔 Anthropic tightens access to Claude and one change really hurts

There are two pieces of news from Anthropic, both about the same thing: they’re tightening control over how Claude is used for coding, especially Claude Opus 4.5, which many now consider the strongest coding model on the market. One move was expected. The other is painful.

🔸 Anthropic cut off xAI from Claude Opus 4.5 inside Cursor. It turned out xAI engineers were actively using Claude for coding. Anthropic didn’t like that and simply отключили доступ, no ceremony.

🔸 This wasn’t a surprise. Anthropic’s terms explicitly prohibit using their models to build competing AI products. It was only a matter of time. Still, sympathy to the xAI devs.

🔸 The painful part: Anthropic banned using personal Claude subnoscriptions inside third-party clients like OpenCode.

🔸 Previously, OpenCode let users plug in their own paid Claude subnoscription and work with the same modes and limits as the official client but at a much lower cost than buying tokens via the API. That loophole is now closed.

🔸 Anthropic’s official explanation: third-party clients “damage UX.” If something breaks in OpenCode, users might blame Claude itself, hurting Anthropic’s reputation.

🔸 Unofficially, the real issue looks like unit economics and strategic control, not UX. Subnoscription leakage into external tools undermines pricing and platform leverage.

🔸 The result: OpenCode users are scrambling for workarounds on social media but so far, nothing reliable has surfaced.

🔸 From Anthropic’s perspective, the move is understandable. From users’ perspective, it’s brutal.

Claude Opus 4.5 may be the best coding model right now but Anthropic is making it very clear: you’ll use it where and how they want, or not at all.

📊 @tech

We need this in 2026.

📊 @tech

🩺 Anthropic launches Claude for personalized healthcare

Anthropic is entering the health AI space with a new tool designed to help patients and providers make sense of medical data.

🔸 The system, powered by Claude Opus 4.5, can connect to electronic medical records as well as Apple Health and Android Health data.

🔸 It analyzes users’ health metrics, interprets test results, spots correlations between activity and wellbeing, and even suggests questions for doctor visits.

🔸 For healthcare organizations, Claude integrates with Medicare databases, ICD-10 coding, and PubMed, offering research and administrative support.

🔸 Anthropic emphasizes that all data handling complies with US privacy laws. Currently, access is limited to paid subscribers in the United States.

Claude for Healthcare aims to make AI a daily companion for medical insight, bridging personal health data and professional care.

📊 @tech

BREAKING: Anthropic just unveiled "Cowork," a major feature that turns Claude into a fully autonomous virtual assistant for everyone.

It brings the deep agentic capabilities previously reserved for coders to general users, allowing Claude to perform complex tasks directly on your computer.

📊 @tech

🛒 Google unveils a universal protocol to make AI agents real shoppers

Google has introduced the Universal Commerce Protocol (UCP), a new open standard designed to let AI agents handle more of the buying process on behalf of users and businesses.

🔸 Announced at the National Retail Federation (NRF) conference, UCP provides a shared language for AI agents to work across entire commerce workflows from product discovery through checkout and post‑purchase support without bespoke integrations for every retailer or system.

🔸 The protocol was developed in collaboration with major partners including Shopify, Etsy, Wayfair, Target, and Walmart, and is endorsed by more than 20 companies spanning payment networks and retailers.

🔸 UCP is designed to work alongside and interoperate with existing agent‑focused standards such as Agent Payments Protocol (AP2), Agent2Agent (A2A), and the Model Context Protocol (MCP), giving agents flexible interoperability across platforms.

🔸 Google says the protocol will soon power native checkout experiences directly within its AI surfaces including Google Search’s AI Mode and the Gemini app enabling users to complete purchases with Google Pay and shipping info stored in Google Wallet without leaving the conversation.

🔸 PayPal support is planned next, broadening payment options for UCP‑enabled transactions. Retailers can also embed branded “Business Agents” that answer product questions and offer direct discounts inside the AI shopping experience.

🔸 Google’s CEO Sundar Pichai described UCP as a foundational building block for an era where AI interfaces guide users from discovery to purchase seamlessly.

By standardizing how agents talk to merchants, platforms, and payment providers, Google is pushing AI beyond recommendations into actual transaction execution, potentially reshaping digital commerce.

📊 @tech

JUST IN: Google is working on a new tool for Gemini called "Auto Browse". Auto Browse will Chrome into a proper agentic browser, where Gemini will serve as a control interface.

This addition is a continuation of agentic functionalities announced in September.

📊 @tech

🔒 Deep dive guide surfaces for Cursor rival “Antigravity”

A comprehensive walkthrough of Antigravity, a competitor to Cursor and Google’s Windsurf, has appeared online, offering a rare behind-the-scenes look at the platform and its ecosystem of AI agents.

🔸 The guide was created by a developer who has analyzed the full stack, covering everything from installation to monetization.

🔸 It includes detailed instructions on setting up the platform, developing AI-powered features, and even generating revenue using the system.

🔸 The tutorial runs roughly 30 minutes, but it’s dense enough to serve as a complete primer for anyone looking to understand how Antigravity operates.

🔸 The analysis highlights how Antigravity leverages an army of AI agents to automate tasks that rival offerings like Cursor and Google Windsurf.

🔸 For developers and enthusiasts, this guide provides practical, hands-on insights that go beyond marketing materials, showing the platform’s real capabilities.

The post is already circulating among AI communities, suggesting that Antigravity’s architecture may influence future agent-based tools.

📊 @tech

💰 A profitable path to half a million:

1) Rebuild an expensive tool better
2) Launch open-source to attract users + contributors
3) Focus on SEO with programmatic content
4) Build in public for your audience

Iuliia Shnai took Papermark to $500K in 12 months - no funding

📊 @tech

📺 Google is rolling Veo 3.1 updates across Gemini, Flow, AI Studio and APIs.

🔸 Vertical formats support
🔸 Veo 3.1 Ingredients to Video
🔸 Improved ingredients to video consistency
🔸 Upscaling to 1080p and 4K across all Veo models
🔸 Verification of AI-generated videos in Gemini

📊 @tech

💻 AI code generation is turning into a real market

🔸 Analysts estimate the global market at $5.8B in 2025. Forecasts put it at $7.2B this year, with a projected path to $52B by 2035 at a 24.6% CAGR.

🔸 The smoothness of these curves deserves skepticism. Real markets rarely grow that cleanly for a decade.

🔸 Still, AI code generation is already embedded in daily developer workflows. That makes its impact on software labor costs a structural question, not a theoretical one.

📊 @tech