OpenAI has entered preliminary talks with the U.S. government to transfer roughly 5% of its equity, aiming to secure regulatory support by creating a public AI wealth fund modeled on Alaska’s Permanent Fund, a proposal that could extend to other major AI firms amid growing political pressure.
The article argues that Codex membership isn’t a waste of money if you embed it into your development process, outlining its concrete capabilities, the types of developers who benefit most, scenarios where it shines, and who can safely postpone subscribing.
CodexBar is an open‑source macOS 14+ menu‑bar utility that aggregates usage quotas, cost, and service status from over 50 AI providers—including OpenAI, Claude, and Gemini—displaying remaining credits, reset timers, and alerts without storing passwords, and can be installed via Homebrew or GitHub releases.
The article analyzes how OpenAI and Anthropic are moving from anonymous AI services to mandatory facial and document verification, detailing the timeline, technical signals, developer requirements, and the broader industry push to curb abuse and ensure agent accountability.
The U.S. government has temporarily sealed OpenAI’s GPT‑5.6 and Anthropic’s latest models, limiting access to trusted partners, prompting OpenAI to detail multi‑layer security safeguards, benchmark results that show superior performance across programming, biology and cybersecurity tasks, and a call for transparent evaluation frameworks to balance rapid AI innovation with safety.
The article traces the post‑Google journeys of the eight "Attention Is All You Need" authors, detailing recent high‑profile exits to OpenAI and Anthropic, market fallout, each researcher’s contributions to the Transformer architecture, and how their divergent paths continue to shape AI beyond the original paper.
OpenAI has abruptly paused the rollout of GPT‑5.6, limiting access to a small partner preview and requiring individual approval for each user, while developers uncover internal routes, performance claims, and compare the delay to Anthropic’s Fable 5 and Google’s Gemini 3.5, highlighting security‑driven release constraints across the AI industry.
OpenAI released GPT‑5.6 with three tiered models—Sol, Terra and Luna—named after celestial bodies, offering lower pricing, record‑breaking benchmark scores in programming, security, biology and health, new max and ultra inference modes, limited partner access, and a deployment plan on Cerebras that could make it the fastest flagship LLM.
The article analyzes the explosive revenue growth of AI firms like Anthropic and OpenAI, the still‑low penetration of AI in the broader economy, the rapidly rising VC exit thresholds, and why venture capitalists must rethink their investment playbook for the AI‑driven market.
OpenAI's newly unveiled GPT-5.6 achieves a 91.9% TerminalBench 2.1 score—outperforming Claude Fable 5—but is limited to a small trusted‑partner preview, with tiered models, new Ultra mode, pricing details, and extensive safety safeguards that shape its immediate usability.
OpenAI quietly unveiled the GPT-5.6 series on June 26, introducing three variants—Sol, Terra, and Luna—with new Max and Ultra modes, striking benchmark scores, a steep pricing structure, and a government‑mandated limited rollout that restricts access to about 20 approved partners.
OpenAI unveiled the GPT-5.6 series—Sol, Terra, and Luna—featuring max and ultra modes, a tiered pricing model, benchmark scores that surpass Claude Mythos by up to four points, security testing that uses a third of the tokens, and a limited rollout to about twenty government‑approved partners.
OpenAI’s surprise preview of GPT‑5.6 introduces three tiered models—Sol, Terra and Luna—with Sol offering max and ultra modes that deliver top‑tier performance in programming, biology and cybersecurity benchmarks, lower pricing, a new prompt‑cache system, and a restricted rollout amid U.S. regulatory scrutiny.
A Brown University PhD candidate who shifted from multilingual modeling to AI safety shares six unexpected lessons from landing an OpenAI Astra Fellowship, covering the limited role of papers, diverse interview formats, paid work trials, timing, rare retention offers, and many interview topics unrelated to the research focus.
OpenAI and Broadcom unveiled Jalapeño, the company’s first AI‑designed ASIC for LLM inference, achieving a nine‑month tape‑out thanks to deep AI involvement in the design flow, and promising per‑watt performance that surpasses current leading solutions.
OpenAI unveiled GPT‑5.5‑Cyber as part of its Daybreak security initiative, delivering a full‑capability model that outperforms Anthropic’s Mythos 5 on multiple security benchmarks and can autonomously discover, verify, and patch software vulnerabilities while launching the open‑source “Patch the Planet” program.
A Brown University PhD candidate shares six unexpected insights from his job search for an AI safety research role at OpenAI, covering the limited impact of papers, diverse interview formats, trial periods, timing, rare retention offers, and many interview topics unrelated to his research.
The article analyzes how intensive use of OpenAI Codex, especially long‑running agents, continuously writes to its local SQLite logs, causing massive SSD write amplification despite modest file size growth, and details community reports, OpenAI’s fixes, and practical mitigation steps.
The article analyzes how OpenAI’s self‑developed Jalapeño inference chip, GLM‑5.2’s integration into model gateways, GitHub’s one‑click credential revocation, and Cloudflare’s cache‑TTL adjustments illustrate a broader industry shift toward full‑stack, controllable AI infrastructure that prioritizes cost, latency, and governance.
OpenAI unveiled its custom AI inference chip Jalapeño, co‑designed with Broadcom, claiming far‑better power‑efficiency than existing high‑end GPUs and signaling a strategic shift that could erode Nvidia’s near‑monopoly in AI hardware.
OpenAI has partnered with Broadcom to launch Jalapeño, a purpose‑built AI inference ASIC designed in nine months, promising superior performance‑per‑watt, integrated networking, and a full‑stack AI hardware‑software optimization cycle that could lower inference costs and reshape future data‑center deployments.
The author concludes that a Codex membership can be useful for small, fragmented outsourcing tasks—helping with code reading, generation, and review—but it isn’t a replacement for full‑project responsibility, especially on complex business‑logic projects, and the appropriate ChatGPT plan (Plus or Pro) depends on how frequently you take on work.
A top NLP PhD shares a detailed, data‑driven account of applying to 11 companies, completing 57 interviews, managing recruiter calls and post‑offer negotiations, and explains how technical preparation, parallel scheduling, and strategic negotiation are crucial for landing a research scientist role at OpenAI.
OpenAI’s new GPT‑5.5‑Cyber model achieves a top‑of‑the‑line 85.6% score on CyberGym—surpassing both the prior GPT‑5.5 (81.8%) and Anthropic’s Mythos 5 (83.8%)—while also delivering broader security tools such as Codex Security, the Patch the Planet initiative, and a partner program for trusted access.
This article explains why LangChain4j is needed for advanced Java AI agents, compares its capabilities with Spring AI, walks through project setup, configuration, defining tools and memory, assembling the agent, and demonstrates a complete smart‑customer service example with testing commands.
Alisa Liu, a six‑year NLP PhD, shares a step‑by‑step recount of her job hunt—57 interviews across 11 top AI firms, including OpenAI—detailing interview formats, preparation tactics, offer negotiation, and the emotional toll, offering a practical guide to avoid common pitfalls for future candidates.
Alisa Liu, a soon‑to‑graduate NLP PhD, shares a detailed, data‑driven recount of 57 technical interviews across 11 AI firms, revealing the pitfalls, preparation strategies, interview formats, negotiation tactics, and emotional challenges she faced on her path to an OpenAI Research Scientist offer.
The article breaks down why ChatGPT Plus sign‑up attempts often fail—due to account mismatches, card verification issues, 3D Secure problems, and regional restrictions—and provides a step‑by‑step checklist to resolve the payment chain before retrying.
Noam Shazeer, the core author of the Transformer paper, left Google twice—first to co‑found Character.AI after his internal chatbot was blocked, then after Google paid roughly $2.7 billion to bring him back, he departed again for OpenAI, sparking a talent‑war among AI giants.
John Jumper, the Nobel‑winning architect of AlphaFold, left DeepMind after nine years to join Anthropic, sparking a talent exodus that highlights an accelerating AI‑driven competition among Anthropic, OpenAI and DeepMind to rewrite life‑science research.
Google lost Transformer co‑author Noam Shazeer and AlphaFold Nobel‑prize leader John Jumper within three days, exposing internal bureaucracy, compute‑resource politics, and product‑naming chaos that drive top AI researchers to flatter, faster‑moving rivals like OpenAI and Anthropic.
OpenAI’s Codex now offers a Record & Replay feature that lets macOS users capture a desktop task once, automatically generating an editable Skill file that can be invoked later without writing prompts, sparking discussions about platform limits, comparisons to macros and RPA, and potential industry impact.
OpenAI and Anthropic are both rolling out facial‑recognition identity checks for ChatGPT and Claude, turning formerly open AI services into regulated tools by using age‑prediction models, organization verification, and strict ID policies to curb abuse and prepare for more capable AI agents.
The article walks through how Codex plugins combine external tools, workflow logic, and MCP servers into reusable agents, showing step‑by‑step usage of dozens of plugins—from Gmail and Google Docs to Cloudflare and Superpowers—so developers can automate daily tasks, integrate services, and turn prompts into concrete actions.
Before going public, OpenAI and Anthropic have sold internal shares that let employees cash out roughly $14 billion, creating more than 300 new billion‑dollar net‑worth individuals, while using the sales as a talent‑retention weapon in the fierce AI IPO race.
Chat2DB is a free open‑source multi‑database client that adds AI capabilities such as natural‑language‑to‑SQL, SQL‑to‑natural‑language, and performance suggestions; this guide walks through downloading, installing, configuring OpenAI keys, using its four main menus, and evaluating its SQL generation, explanation, and optimization functions.
The Trump administration’s export‑control ban on Anthropic’s Fable 5 and Mythos 5 models, allegedly prompted by an Amazon report on a jailbreak, sparked speculation about motives, impacts on staff like Andrej Karpathy, and potential winners such as OpenAI.
OpenAI has introduced a modest yet practical update to Codex that lets users bank rate‑limit resets for later use and grants Plus and Pro users a free reset plus additional resets when they invite friends, aligning the tool’s usage rhythm with developers’ real‑world workflows.
This article explains the concept of Function Calling in large language models, walks through defining function schemas, shows step‑by‑step API call flows, demonstrates multi‑tool orchestration, parallel execution, tool‑chain composition, and integrates Function Calling with LangChain, while providing best‑practice guidelines and code examples.
OpenAI has previewed Codex on the ChatGPT Android and iOS apps, letting every user—including free‑tier accounts—manage, approve, and run code from their phone via a secure relay layer, remote SSH support, and new workflow hooks.
Anthropic admitted that its Claude Fable 5 model silently reduced its capabilities when detecting AI‑research usage, announced a rollback to make safety limits visible, and explained the trade‑offs behind invisible versus visible restrictions amid community backlash and competitive pressure from OpenAI.
OpenAI has launched a preview of Codex inside the ChatGPT mobile app for both Android and iOS, giving every user—including free‑tier accounts—a secure, synchronized way to review, approve, and run code from anywhere, with new remote‑SSH support and upcoming automation features.
The article explains that Codex is bundled within OpenAI’s ChatGPT subscription tiers, compares the capabilities and quotas of Free, Go, Plus, Pro, Business, Edu, and Enterprise plans, and advises programmers to start with ChatGPT Plus for everyday coding tasks while reserving Pro for heavy‑weight, high‑quota projects, also warning against dubious shared accounts and clarifying that Plus does not cover API billing.
OpenAI’s Dreaming V3 memory system automatically aggregates user preferences and context from past chats, delivering up to five‑fold efficiency gains and raising factual continuity, preference adherence, and timeliness accuracies to 82.8%, 71.3% and 75.1% respectively, now available to free users.
OpenAI has launched a preview of Codex on both Android and iOS versions of the ChatGPT app, letting every user—including free‑tier accounts—run AI‑assisted code tasks from their phone with secure remote access and real‑time synchronization.
OpenAI’s latest overhaul eliminates the traditional chat window, merges Codex and ChatGPT into a unified Agent platform, adds third‑party services like Canva and Booking.com, and signals a strategic pivot driven by mounting financial pressure, fierce competition with Anthropic, and an imminent trillion‑dollar IPO race.
The article outlines a progressive learning path for AI agents, recommending six GitHub projects—from a beginner-friendly tutorial to production‑grade frameworks—detailing each project's purpose, difficulty, key takeaways, and suitable audience, helping programmers transition from users to builders.
OpenAI’s secret S‑1 filing, valuing the company at $852 billion with 900 million weekly active users, signals a likely Q4 2026 IPO that may drive API price hikes, introduce quarterly‑driven stability risks, and force developers to rethink career paths and technology stacks.
OpenAI has quietly filed an S‑1 for a potential autumn IPO, backed by a $122 billion financing round that values it at $852 billion, while its accompanying essay outlines a three‑stage roadmap and a mission to democratize AI, ensure safety, and distribute power broadly.
OpenAI’s new Lockdown Mode disables network access and external actions in ChatGPT to block prompt‑injection attacks that could exfiltrate private information, trading off features like real‑time browsing, Deep Research, and Agent tasks, and is best used only for handling confidential documents.
OpenAI’s “The Next Era of Knowledge Work” report shows Codex powering over five million weekly active users with more than six‑fold growth, reshaping knowledge‑intensive tasks by tackling search, coordination and approval frictions, enabling parallel workflows, and prompting policy recommendations for broader AI adoption.
OpenAI has launched a preview of Codex inside the ChatGPT mobile app for Android and iOS, letting any user—including free‑tier accounts—synchronize code‑related tasks, approve AI actions, and manage remote development environments directly from their phone.
OpenAI’s Symphony transforms a Codex‑only development experiment into a task‑driven workflow where each open issue is continuously handled by an autonomous agent, dramatically reducing context‑switch costs and boosting productivity across large codebases.
OpenAI is integrating its Codex coding engine with ChatGPT and the Atlas browser into a desktop “super app,” highlighting Codex’s superior performance on multi‑step tasks, rapid user growth, internal reorganization, competitive pressure from Anthropic, and a roadmap that blends local and cloud execution for hundreds of millions of consumers.
This guide breaks down how to craft verifiable, quantified goals, supply rich context, measure progress, use production‑like environments, handle visual objectives carefully, track long‑running tasks, and review outcomes when leveraging Codex's /goal command for autonomous AI agents.
The article explains that embedding converts text into a 1536‑dimensional floating‑point vector that serves as a semantic fingerprint, describes how the vector is generated, why 1536 dimensions are chosen, how similarity is measured, and provides Java Spring AI code examples along with model‑selection guidance and common interview pitfalls.
OpenAI has released a preview of Codex for the ChatGPT iOS and Android apps, letting any user—including free‑tier—access the AI coding assistant on the go, with secure relay syncing, remote‑SSH support, and new workflow features such as bug investigation, decision‑making, and instant idea capture.
OpenAI’s latest Codex update adds role‑specific plugins, Sites for interactive output, and annotation tools, shifting the model from a pure code generator to a versatile work‑product engine that serves developers, analysts, designers, salespeople and investors alike.
In a single week OpenAI rolled out role‑specific plugins, the Sites preview, and a Python SDK for Codex, signaling a strategic shift from a developer‑only coding assistant to a broad enterprise productivity platform that could marginalize the Cursor editor.
OpenAI announced that Codex will be integrated into ChatGPT, introducing three major upgrades—Agent plugins, Annotations, and Sites—while highlighting rapid user growth, GPT‑5.5’s token efficiency, and a strategic push against competitors like Anthropic to make AI assistance ubiquitous across all work tasks.
OpenAI has launched a preview of Codex inside the ChatGPT mobile app for both Android and iOS, giving every user—including free‑tier members—the ability to sync code‑related tasks, approve changes, and manage remote development environments from anywhere, backed by a secure relay layer and upcoming features such as programmatic tokens and HIPAA‑compliant hooks.
OpenAI has rolled out GPT‑5.5 Instant as the new default ChatGPT model, delivering 52.5% fewer hallucinations, a rise in math benchmark scores from 65% to 81%, 30% shorter replies, and a memory system that surfaces past context for personalized answers, all available for free to every user.
OpenAI announced that it will embed Codex's execution engine directly into ChatGPT, unveiling new role‑specific plugins, a Sites feature for interactive web outputs, and Annotations for precise edits, while positioning the move against Anthropic's enterprise AI strategy.
Amazon Bedrock now offers OpenAI’s latest GPT‑5.5, GPT‑5.4, and Codex models, and this guide walks developers through enabling the Responses API, configuring environment variables, installing the OpenAI SDK, and running Python or curl examples, while highlighting performance characteristics, scaling behavior, and best‑practice settings.
OpenAI's recent Codex update adds true Computer Use support on Windows, letting the model see the screen, click buttons, type, and control desktop applications, with a simple @Paint or @computer prompt, though it runs in the foreground and requires ChatGPT Plus or higher.
OpenAI Robotics is hiring electrical, simulation, actuator‑design, and control‑software engineers with base salaries of $210‑$310 k (over 220 M RMB) plus equity, while recounting its past Dactyl project, recent shift to language models, and renewed competition with DeepMind, Tesla and Figure AI.
Anthropic’s aggressive focus on coding, highlighted by the rapid growth of Claude Code and a series of bold market moves, has propelled it past OpenAI in valuation, revenue, and enterprise AI market share, while sparking debate over the sustainability of such a narrow strategy.
From OpenAI's autonomous proof of the 80‑year‑old Erdős unit‑distance conjecture to Anthropic's $109 billion Q2 revenue, a $300 billion financing round surpassing OpenAI, OpenAI's confidential IPO filing, the Pope's first AI encyclical, Karpathy joining Anthropic, Google Gemini's creative‑tool integration, a revamped Google Search bar, Intuit's 17% layoff, and new AI safety guidelines, this week’s AI landscape is reshaped by breakthroughs, funding milestones, and policy shifts.
On June 1 2026, OpenAI will require all researchers and defenders using its Trusted Access for Cyber (TAC) program to enable Advanced Account Security—a phishing‑resistant multi‑factor authentication—marking a shift from open model access to identity‑driven protection and reshaping the AI security landscape.
OpenAI’s Images 2.0 (gpt-image-2) replaces the traditional image‑generator model with an interactive creative engine that plans, searches the web, and self‑verifies before rendering, offering higher‑quality multi‑language text, batch consistency, and real‑time information at the cost of a token‑based pricing model and limited access to its most advanced features.
Yin Xi, the youngest Chinese full professor at Harvard and a leading string‑theory researcher, has moved to OpenAI, claiming AI can accelerate his work by at least a hundredfold and reshaping the future of theoretical physics and scientific publishing.
The article compares OpenAI's Codex and Anthropic's Claude Code, showing Codex’s ease of use for beginners and its tight integration with ChatGPT for code generation, while Claude Code shines in terminal‑centric workflows for seasoned developers, and offers guidance on subscription choices and practical selection criteria.
OpenAI’s Codex 26.527 update brings the Computer Use agent to Windows, enabling AI to view the screen, simulate mouse clicks and keyboard input, plus remote control via mobile, while outlining usage scenarios, platform differences, permission requirements, and security safeguards.
OpenAI has expanded Codex beyond code generation, enabling it to see and manipulate Windows graphical interfaces and be remotely orchestrated from the ChatGPT mobile app, signaling a shift toward AI agents that operate within real computer workstreams.
This article explains that Codex is included in ChatGPT Plus, Pro, Business, and Enterprise plans, outlines the step‑by‑step process to enable it via a ChatGPT Plus subscription, highlights common misunderstand‑ings such as separate purchases and API costs, and offers practical tips for personal developers to use Codex effectively.
The article argues that in fast‑moving AI markets, a firm’s organizational shape—not its product or technology—has become the most durable competitive advantage, illustrating this with examples from OpenAI, Anthropic and Palantir.
This article provides a comprehensive, step‑by‑step tutorial for installing the OpenAI Codex desktop App and command‑line interface on both macOS and Windows, covering official store installation, MSIX sideloading, PowerShell scripts, npm mirrors, verification steps, and common troubleshooting for Chinese network environments.
OpenAI’s recent tax‑agent case shows that reliable AI agents require a closed‑loop workflow—trace logging, expert feedback, systematic evaluation, and Codex‑driven code improvements—rather than mere prompt tweaking, achieving up to 97 % draft accuracy across 7,000 filings.
The article explains that Codex is bundled with ChatGPT Plus, Pro, Business and Enterprise plans, outlines three common pitfalls—confusing Plus with API fees, assuming unlimited usage, and upgrading to Pro too early—and advises developers to start with Plus and only upgrade when their real‑world coding workload justifies it.
OpenAI released an Apache‑2.0 licensed 1.5B‑parameter Privacy Filter model that runs entirely locally via Transformers.js and WebGPU, detecting eight categories of personal data without sending any text to a server, while offering fine‑tuning and adjustable precision‑recall trade‑offs.
This roundup covers OpenAI’s autonomous proof of the Erdős unit‑distance conjecture, Anthropic’s first quarterly profit and a $300 billion‑plus valuation, major AI‑related policy moves, product integrations, and a series of strategic acquisitions and funding announcements across the AI ecosystem.
OpenAI’s latest Codex upgrade adds Appshots for double‑Command screen reading, a 24/7 “Goal” mode for long‑running tasks, locked‑Mac remote control, and a ChatGPT‑for‑PowerPoint plugin that auto‑generates editable slides, signaling a shift from a coding assistant to a full‑stack AI coworker.
The AI industry this week combined major technical breakthroughs with commercial milestones, featuring Google I/O's new agent‑centric products, OpenAI's finance‑focused ChatGPT, Anthropic's first quarterly profit, DeepSeek's massive funding round, and several AI chip and model announcements.
OpenAI’s latest Codex release introduces Appshots that read hidden screen text, a /goal mode for autonomous long‑term tasks, locked‑screen remote operation, a ChatGPT‑for‑PowerPoint plugin, and shows rapid user growth, signalling a shift from a coding assistant to a full‑stack AI teammate.
Anthropic reported a Q2 operating profit of $5.59 billion on $10.9 billion revenue, sparking a split debate over whether this disproves the AI‑bubble narrative or merely reflects non‑GAAP accounting, while highlighting the broader financial dynamics of frontier AI firms.
Former OpenAI co‑founder Andrej Karpathy announced his switch to Anthropic, citing the rival’s strong challenger status, a vision of AI‑training‑AI, and a desire to fight in the decisive years of large‑model development, a shift that could reshape talent competition and strategic dynamics across the AI industry.
Peter Steinberger revealed that his OpenAI API usage cost $1.3 million in the past 30 days, consuming 6 030 billion tokens across 7.6 million requests, most of which power a cloud‑run fleet of about 100 Codex agents that automate OpenClaw development, prompting a debate on AI‑driven software costs.
A threat actor named MrLucxy is selling a purported "OpenAI dataset" on the dark web, claiming a compressed size of about 14.6 GB and over 62 GB uncompressed, containing chat logs, Slack exports, internal tickets, infrastructure SQL dumps, contractor PII, API key files, and monitoring data, but a veteran security analyst doubts its authenticity, noting the unusually large 8 MB API‑key file and suggesting it may be repackaged old leaks or fabricated data, as reported by Undercode News.
This week’s tech roundup covers Ilya Sutskever’s explosive courtroom testimony exposing OpenAI’s internal power struggle, Anthropic’s claim that AI can finish ten weeks of work in four days, the launch of OpenAI Codex on the ChatGPT mobile app, a deep dive into how AI agents are reshaping software business models, Baidu’s DuMate super‑assistant, the MiniCPM‑V 1.3B multimodal model that runs on a single RTX 4090, and MiniMax’s new Mavis multi‑agent framework for reliable long‑running tasks.
OpenAI’s latest Codex update adds locked‑screen system control and lets any device with the client join a distributed network, enabling users to repurpose idle computers as a coordinated AI compute fleet while raising security and platform‑compatibility questions.
Peter Steinberger disclosed that his project consumed 603 billion tokens and cost over $1.3 million in a single month, with OpenAI covering the fee, sparking a debate about token‑driven AI development, automation pipelines built with Codex, and the sustainability of the token‑maxxing trend.
OpenAI announced its biggest pre‑IPO restructuring, merging ChatGPT, Codex and the API into a single product unit, elevating co‑founder Greg Brockman to lead all product strategy while facing fierce competition from Anthropic’s $300 billion funding round and Google’s upcoming AI announcements.
This week’s AI roundup shows Anthropic surpassing OpenAI in enterprise market share, the EU banning nude‑generator apps, OpenAI’s $4 billion deployment fund, major product launches from Xiaomi, Meta, Google, and a wave of funding, acquisitions and security incidents reshaping the competitive landscape.
OpenAI's Codex now supports full‑screen mobile remote control via the ChatGPT app, letting developers monitor and approve tasks, switch models, and manage enterprise‑grade SSH environments from any device while maintaining a secure encrypted relay layer, sparking fierce rivalry with Claude Code.
OpenAI has previewed Codex on both Android and iOS versions of the ChatGPT app, enabling all users to sync code, approve tasks, and manage AI‑driven development from anywhere, with secure relay, remote‑SSH support, and new workflow hooks.
This article walks readers through why many users are switching from Claude Code to Codex, explains the two Codex product forms, details installation, account setup, UI navigation, permission choices, and demonstrates practical tasks such as generating reports, PPTs, web searches, automation, and building a snake game via the CLI, while also offering tips to avoid common pitfalls.
Cerebras Systems’ Nasdaq debut on May 14, 2026 saw its shares jump from $350 to $385, a 108% surge that lifted its market value past $800 billion intraday and settled at a $669 billion valuation, while the company unveiled the world’s largest AI chip and secured multi‑billion‑dollar deals with OpenAI and AWS, signaling a serious challenge to Nvidia’s dominance in AI hardware.
OpenAI has quietly added Codex to the ChatGPT mobile app for iOS and Android, letting developers monitor running sessions, approve commands, and make short‑term decisions from their phones without typing code, while keeping the execution environment secure on the host machine.
Within three weeks of GPT‑5.5’s launch, internal code for GPT‑5.6 surfaced, prompting OpenAI to unveil a 2‑3× “ultrafast” mode and a two‑month free Codex offer worth $400 to lure Claude Code users, sparking a high‑speed AI competition with Anthropic’s Opus 4.7 Fast and highlighting a self‑reinforcing acceleration loop toward ASI.
OpenAI has open‑sourced the openai‑realtime‑meeting‑assistant project, a Go‑based demo that lets multiple users control a Kanban board via voice using Pion WebRTC, Opus, WebSocket and the OpenAI Realtime API with function calling, and provides full setup and usage instructions.
