Anthropic pauses testing after Oceanus leak Anthropic halted safety testing of a secret Mythos build (codenamed Oceanus) after an unreleased build leaked via third‑party proxies. The company warns of recursive self‑improvement: Claude now reportedly writes over 80% of Anthropic’s production code and developer output has surged eightfold. Reports say the NSA has forward‑deployed several Anthropic engineers to help deploy Claude Mythos for cyber operations. Anthropic is also launching a Partner Hub and a new CLI tool, ant, as it scales commercial rollout alongside safety debates. OpenAI rolls out Dreaming memory and life‑sciences upgrades OpenAI announced Dreaming, a background memory system that builds structured dossiers from chat history, adapts to changing context, and claims to cut backend compute costs about 5×. Dreaming will reach free tiers. OpenAI also upgraded GPT‑Rosalind to handle complex genomics and drug‑discovery workflows while using ~31% fewer tokens. CEO Sam Altman is promoting a voluntary 30‑day model‑sharing idea with government and publicly distancing the company from political funding as part of outreach in Washington. Google ships Gemma for laptops — local first Google DeepMind released Gemma 4 12B, an Apache‑2 licensed multimodal model meant to run on ordinary laptops with 16 GB of memory. Gemma uses an encoder‑free architecture that feeds vision and audio directly into the decoder and supports a 256,000‑token context window. Google pairs Gemma with local creative tools like Magenta RealTime 2 and an experimental Dreambeans app, signaling a pivot toward on‑device models and self‑improvement loops. Security: AI accelerates both defense and attack Researchers and industry leaders warn AI is discovering vulnerabilities faster than teams can patch them. New adaptive AI malware can read live vulnerability advisories and tailor attacks in real time. A fresh HTTP/2 “bomb” DoS can crash servers in under a minute. Privacy watchers are alarmed after reports that Meta quietly shipped three live biometric models inside phone software. LinkedIn version (≤700 chars) Anthropic paused testing after an unreleased Mythos build leaked; Claude now writes >80% of Anthropic’s production code and developer output jumped 8×. OpenAI launched Dreaming (background memory) and upgraded GPT‑Rosalind for genomics. Google shipped Gemma 4 12B to run on 16GB laptops with a 256k‑token context. Security alarms: adaptive AI malware, a new HTTP/2 DoS, and covert biometric models. What worries you most? Read, comment, ask questions. #AI #Security #Privacy #ML #Genomics #OnDeviceAI

Anthropic halts Mythos Oceanus testing after leak; Claude now writes 80% of production code as security concerns mount

Trending Now

Anthropic: Claude appears to be accelerating AI development — engineers shipping 8× more code, coding success +50 pts, newer models can speed training-code ~52×; Anthropic opens an institute for safety and governance. OpenAI: ChatGPT "dreaming" memory (Plus/Pro US) tracks upcoming/ongoing/past events, lets users review and steer memories; 2× capacity. Cloudflare: bot/agent traffic now exceeds human web traffic. Microsoft: seven MAI models incl. MAI-Thinking-1 (35B MoE, 97% AIME) on MAIA 200 silicon. DeepMind: Gemma 4 (12B) multimodal, Apache 2.0, 150M+ downloads, runs on ~16GB VRAM. Which shift matters most to you? Comment or ask a question. #AI #Agents #MachineLearning #Governance #AISafety

Anthropic Warns of Rapid Recursive Self‑Improvement as ChatGPT Adds Dreaming Memory; Bots Surpass Human Web Traffic and Big Tech Unveils New Models

OpenAI repurposes Codex into a corporate work layer: role-specific plugins, "Sites" to publish live data apps (Figma/Wix/Replit), "The Barn" 1GW campus, and frontier models on AWS Bedrock/GovCloud. Microsoft (Build): agent-first local compute—Surface RTX Spark for 120B offline models; MAI‑Thinking‑1 (35B) and Scout assistant; kernel-level isolation and native models in Windows/Edge (145 languages). NVIDIA: Cosmos Three multimodal world model; Nemotron Three Ultra (550B); RTX Spark superchip (1PF) and DGX Station (20PF) for local robotics. Anthropic confidential IPO—reported valuation ~$965B. Which pivot forces your next move? Comment or ask. #AI #EnterpriseAI #EdgeComputing #AIInfrastructure #Robotics #Cloud

OpenAI Repurposes Codex Into Live Data Web‑App Platform as Microsoft and Nvidia Push Local Agent Compute — Anthropic Files Confidential $965B IPO

Anthropic just overtook OpenAI in business adoption, quadrupling its footprint in a year — yet engineers are already migrating back. Claude often scores cleaner in blind reviews, but Claude Code hits rate limits; OpenAI’s Codex uses ~4× fewer tokens and keeps developers in flow. Expect six‑month lead swaps. The real cost is lost momentum: keep playbooks outside tools, treat them as the source of truth, and run switch tests. Which tool does your team use — could you switch tomorrow without losing weeks? #AI #GenerativeAI #DevTools #MLOps #Productivity

Anthropic Quietly Tops OpenAI in Business Adoption as Engineers Return to Codex — Playbooks Become Key to Maintaining Momentum

Breaking News

Anthropic Warns of Rapid Recursive Self‑Improvement as ChatGPT Adds Dreaming Memory; Bots Surpass Human Web Traffic and Big Tech Unveils New Models

June 7, 2026

OpenAI Repurposes Codex Into Live Data Web‑App Platform as Microsoft and Nvidia Push Local Agent Compute — Anthropic Files Confidential $965B IPO

June 5, 2026

Anthropic Quietly Tops OpenAI in Business Adoption as Engineers Return to Codex — Playbooks Become Key to Maintaining Momentum

June 4, 2026

OpenAI launched Guaranteed Capacity so companies can lock long‑term AI compute—shifting focus from experiments to predictable production. California issued an order to ready workers and training systems for AI disruption. Anthropic’s Claude released free workplace courses to build AI fluency. Mintlify raised $45M as agents now drive ~48% of doc traffic, forcing docs to be machine‑readable and testable. Which will your org prioritize: uptime, reskilling, or agent‑ready docs? Comment or ask below. #AI #AIOps #Reskilling #Docs #Agents

Guaranteed compute, workforce orders and new tools: OpenAI, California, Anthropic and Mintlify push AI from experimentation to production

June 3, 2026

Anthropic: Claude Opus 4.8 lets system instructions change mid‑conversation without clearing cached context — a step toward Conway, a persistent multi‑agent platform with isolated container agents, webhooks, tool integrations (Orbit, Operon, BugCrawl) and file‑based memory. Their study finds researchers with traditionally male names use coding agents over twice as often as those with traditionally female names. OpenAI: Codex can now operate Windows 11 desktops for multi‑step tasks; GPT‑4.5 leaves ChatGPT on June 27, 2026. xAI: grok‑build 0.1 beta targets agentic coding (API/CLI), token‑based pricing. Big picture: Microsoft, Meta, Apple betting on agents across phones, wearables, and desktops. How do we design for usability, privacy, and fair access as agents spread everywhere? Share your take or questions. #AI #Agents #DeveloperTools #Anthropic #OpenAI #xAI

Anthropic readies Conway multi‑agent platform as OpenAI’s Codex automates Windows PCs and xAI debuts grok‑build beta

June 2, 2026

Editor Choice

AI Models & Language Processing

Trust Takes Center Stage as TechCon SoCal Pushes AI into Healthcare; Anthropic Launches Claude Opus 4.8, AiNews Goes Triweekly

June 1, 2026

Anthropic launched Claude Opus 4.8 — five-tier thinking selector, ~2.5× Fast Mode, improved safety (≈4× fewer unflagged code flaws), dynamic workflows with 16 active agents and mobile voice in 18 languages. OpenAI Foundation announced $250M for AI labor research, AP election streaming with cryptographic checks, Tax AI for firms, and a push toward GPT‑5.5. Google Cloud debuted AI Threat Defense and a Coral Board NPU. Cisco warns frontier models fail determined multi-turn attacks. How are you preparing? #AI #ML #Security #AIOps #Governance

AI Companies & Products

Anthropic launches Claude Opus 4.8 with five‑tier Thinking selector, Dynamic Workflows and 2.5× Fast Mode — OpenAI unveils $250M labor‑disruption fund as Google debuts autonomous threat defense

May 31, 2026

OpenAI Deployment Company — enterprise AI deployment becomes the next battleground OpenAI has launched the OpenAI Deployment Company to move organizations from AI experimentation into production. The competitive edge is shifting from model benchmarks to integrating AI into real business systems: workflow integration, governance, data architecture, and operational execution. The new moat is reliably turning capability into measurable business outcomes. How to write product descriptions for AI search Make descriptions AI-friendly with Answer Engine Optimization and Generative Engine Optimization. Explain who the product serves, the specific problem it solves, concrete use cases, key features, buying considerations, and common buyer questions. Prompt tip: ask tools to rewrite descriptions for discoverability across ChatGPT, Perplexity, Claude, and Google AI Overviews. Frame content around seven intent signals: who, what problem, when, where, differentiation, alternatives, and the buyer decision. AI tools to watch Descript — all-in-one audio/video editor with transcription and overdub. Kaelbot — AI career operator that finds and ranks roles by fit. WorkProcedures — generates audit-ready SOPs in under two minutes from industry examples. SensorHub — monitors social platforms to surface leads and buyer conversations. Wispr Flow — capture full reasoning to cut follow-ups Wispr Flow captures constraints, edge cases, examples, and tone so prompts to systems like ChatGPT or Claude need fewer edits. Reported adoption includes teams at OpenAI, Vercel, and Clay, with claims that 89% of messages go out unedited when using the flow. More context, fewer back-and-forths. What to watch Deployment, discoverability, and developer-to-operator tooling are converging. The questions now are practical: which integration patterns scale, how to prove governance and ROI, and when to build versus buy. Stay curious and skeptical — these choices will shape which AI projects survive beyond prototypes. LinkedIn version: OpenAI just launched the OpenAI Deployment Company — the battleground is shifting from model scores to real-world deployment: workflow integration, governance, data systems, and ops. Plus smart tips for AI‑friendly product descriptions, a few tools to watch (Descript, Kaelbot, WorkProcedures, SensorHub), and Wispr Flow’s pitch to cut follow-ups. How will organizations decide what to build vs buy? Share your take or ask questions. #AI #EnterpriseAI #AIDeployment #ProductMarketing #AIEthics

AI Companies & Products

OpenAI Launches Deployment Company, Making Enterprise AI Integration the Next Battleground

May 29, 2026

OpenAI eyes an IPO (~$730B; Polymarket ~70% chance by year-end). Anthropic: Claude Mythos experiments and a new AI Fluency scorecard (≈10k interactions, 11 signals). xAI: Grok v9‑Medium jumps to 1.5T params; Grok Build beta adds image/video and a CLI. Developer "bunkaich" used Codex to reverse‑engineer and rewrite MP3 firmware. ElevenLabs released Music v2 with cleaner multilingual singing. Which of these will reshape AI first—OpenAI IPO, Anthropic’s tools, xAI’s scale, AI-powered hardware hacks, or realistic synthetic vocals? Comment your pick or ask a question. #AI #ML #innovation #aitechn #creators

AI Companies & Products

OpenAI Nears $730B IPO as xAI Jumps to 1.5T Parameters; Anthropic Debuts Prompt Fluency Scorecard, Codex Powers Firmware Hack, ElevenLabs Launches Music v2

May 28, 2026

OpenAI hires a high‑paying safety role to track self‑improving AI Role: Senior technical staff on the Preparedness team; compensation up to $445,000. Focus: modeling long‑horizon risks from recursive self‑improvement — data‑poisoning defenses, interpretability tools to audit internal activations, and metrics to measure how much technical work is being automated. Context: this follows Sam Altman’s internal benchmarks for automated research interns and Gartner naming OpenAI a leader in enterprise coding agents after GPT‑five point five helped Codex hit four million weekly users. DeepMind’s AlphaProof Nexus autonomously cracks hard math System: AlphaProof Nexus pairs large language models with the Lean formal proof assistant. Achievement: independently solved nine open Erdős problems and proved dozens of conjectures. Method: models propose proof steps; Lean verifies them — lowering the cost of some breakthroughs to a few hundred dollars per problem. Reactions: Demis Hassabis calls it the “foothills of the singularity,” while Yann LeCun cautions models still lack human‑like reasoning. Jeff Bezos: Project Prometheus is building an “artificial general engineer,” not robots Clarification: Bezos says Prometheus focuses on automating design and manufacture of physical objects — an artificial general engineer. Approach: physics‑driven simulations rather than text‑trained models. Backing & footprint: initially funded with $6.2 billion and recently raised $10 billion from investors including JPMorgan and BlackRock; teams in San Francisco, London, and Zurich; about 120 engineers hired from major labs. Agent‑driven tools and enterprise moves are accelerating Trends: agent architectures are proliferating — from Cisco building an AI Defense platform in weeks to new products that save agent memory and trace workflows. Implication: the industry is moving toward autonomous engineering and safer agent stacks. Expect more tooling, more governance features, and a scramble over who builds the work and who monitors it. We’ll keep tracking these stories. News roundup: OpenAI hires a Senior technical staff for Preparedness (up to $445k) to model long‑horizon risks from recursive self‑improvement. DeepMind’s AlphaProof Nexus paired LLMs with Lean to autonomously solve nine open Erdős problems. Jeff Bezos says Project Prometheus aims to build an "artificial general engineer" using physics simulations, backed by ~$16.2B and teams in SF, London, Zurich. Agent-driven tools and enterprise stacks are accelerating. How should we govern this rapid shift? Ask or share your take. #AI #AGI #AIethics #AutonomousAgents #MachineLearning

AI Research & Development

OpenAI creates $445K safety role to model recursive self‑improvement as DeepMind’s AlphaProof Nexus solves nine Erdős problems and Bezos advances an artificial general engineer amid an enterprise agent surge

May 26, 2026

News roundup: Alibaba's Qwen 3.7‑Max claims 35 hours of continuous autonomous reasoning, a 1,000,000‑token context window and heavy tool use behind a paid API. Google tripled Antigravity quotas, open‑sourced Agent Executor for stable multi‑agent runtimes, tied Gemini to Adobe/Canva for conversational editing and added an Agentic Browsing audit. Anthropic shows scale and profit while renting massive xAI capacity and eyeing Maia 200 chips. Intology’s Agent Locus beat humans on NanoGPT‑Bench — agents that invent matter. What does this shift mean for developers and enterprises? Ask or comment. #AI #agents #LLM #MLOps #cloud

AI Hardware & Infrastructure

Alibaba’s Qwen3.7‑Max Delivers 35‑Hour Autonomous Reasoning with 1M‑Token Context as Google and Anthropic Scale Up

May 25, 2026

Top stories: 1) Google launches Gemini Omni — DeepMind models that generate/edit video with physics-aware consistency; flash is in Gemini app, Flow and YouTube Shorts; API soon. 2) Gemini 3.5 Flash — frontier model ~4x faster; available in Gemini app and AI Studio. 3) Gemini Spark — always-on personal agent on Cloud VMs (Gemini 3.5 + Antigravity) for long tasks; third-party tool links coming. 4) Andrej Karpathy joins Anthropic for LLM R&D. 5) ChatGPT claims a solution to a famous open math problem; community verification underway. LinkedIn: Video that understands physics, 4x speed gains, always-on agents, a Karpathy hire, and ChatGPT's math claim. Read, comment, ask questions — which shift will reshape AI? #AI #GenAI #ML #DeepMind #Anthropic

AI Models & Language Processing

Google unveils Gemini Omni video model, Gemini 3.5 Flash and always-on Spark agent; Karpathy joins Anthropic as ChatGPT offers solution to famous open math problem

May 24, 2026

1) Google redesigns Search around AI agents for web discovery Google announced a major update: Search will center on AI agents, generative interfaces, personal context and direct task completion. Rather than just links, users can ask, monitor, decide and act inside Search while systems perform tasks on their behalf. Why it matters: AI-mediated discovery before clicks could reshape traffic, monetization and how you write for machine-first recommendations. 2) Open source vs proprietary models: the debate Voices like Hugging Face’s Clem Delangue push open models to avoid capability concentration. Open models offer local runs, fine-tuning and auditability for control and flexibility. Proprietary stacks bundle infra, routing, safety layers and polished UX many teams need. The real business question: where do you need convenience and where do you need control? 3) Writing product descriptions that show up in AI search Optimize for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). Focus on: - Who the product is for - The problem it solves - Key use cases and buying considerations - Likely buyer questions and intent-rich prompts - Materials, size, outcomes and alternatives Think in seven intent signals: Who, What, When, Where, What makes it different, Alternatives, and the buyer’s decision. 4) Tool spotlight Descript — audio/video editing Kaelbot — AI-driven job search WorkProcedures — fast, audit-ready SOPs SensorHub — social listening that surfaces leads and AI citations Not endorsements — items to check if you’re experimenting. Stay curious, stay skeptical, and adapt as AI reshapes search, strategy and tooling. LinkedIn version: Google is rebuilding Search around AI agents that act inside the experience — not just links. Open-source vs proprietary models are deciding where control meets convenience. Product content must shift to AEO/GEO: answer who, what, use cases and buyer intent. Tools to explore: Descript, Kaelbot, WorkProcedures, SensorHub. How are you adapting content and UX for agent-first discovery? Share experiments or questions. #AI #Search #AEO #GEO #OpenSource #ProductMarketing

AI in Business & Sales

Google Overhauls Search Around AI Agents, Forcing Publishers to Rethink Discovery, Content and Monetization

May 23, 2026

What hiring data says about the rise of the A‑I operator — the role that helps organizations adopt and run AI across workflows. Key findings 1,035 A‑I operator roles identified from a one‑day scrape of 24,000 postings. Employers used 636 different job titles for similar work. 59% of requested skills are operations‑oriented; under 5% ask for technical expertise (2% coding, 2% ML). 67% of roles are outside traditional tech firms. Title diversity Common labels include A‑I enablement, A‑I strategy, A‑I operations, Chief A‑I Officer, Marketing operations with an A‑I mandate. Same function, many names. What employers want Top capabilities: A‑I adoption, change management, stakeholder alignment, workflow design, enablement/training. These are operational change roles with an AI mandate, not engineering jobs. Where these jobs live Two‑thirds are in non‑tech organizations — examples: Harvard, BJ’s Wholesale Club (Head of A‑I Strategy & Governance; $245k–$340k), Marriott, JPMorgan Chase, Molina Healthcare, NBC Universal. If your org runs processes, it likely needs someone to operationalize AI. Quick hits Anthropic launched Claude for Small Business with 15 prebuilt skills for payroll, bookkeeping, and marketing. A cruise line scaled from 50 to 1,500 A‑I agents in four months, cutting content production time by 60% and hitting record sales. ChatGPT Pro now connects to bank accounts for spending analysis, subscription tracking, and portfolio performance. The Washington Post published an interactive tool to check job exposure to AI. Take action If you’re driving adoption or building workflows, search job boards for titles like A‑I enablement, A‑I strategy, or A‑I operations — you might already be doing the job. Start documenting workflows, stakeholder needs, and enablement plans; those are the skills employers are hiring for. LinkedIn version: Hiring data shows a new frontline role: the A‑I operator. 1,035 roles in a day, 636 titles, 59% ops skills, <5% technical, and 67% of roles live outside tech. These are workflow and change jobs, not engineering rebrands. Are organizations ready to hire ops leaders for AI — or just rename roles? Share titles you’ve seen and skills that matter. #AI #AIOperations #FutureOfWork #AIadoption #WorkforceTransition

AI in Business & Sales

1,035 A-I operator roles found in 24,000 job posts — 636 job titles, 67% outside tech, operations skills dominate

May 21, 2026

Worth Reading

Revolutionizing Sales and Learning: Salesforce’s New AI Agents, NVIDIA’s Compact Language Model, and Breakthroughs in Quantum Technology Unveiled in AI Tech News!

August 24, 2024

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AI Tech News Today: Anthropic Sued Over Alleged Piracy, OpenAI Unleashes GPT-4 Fine-Tuning, and Pioneering Brain Tech Emerges!

August 24, 2024

/ AI Ethics & Regulation

Microsoft’s Controversial AI Feature Launch, Midjourney’s User-friendly Update, and AI Regulation Debates Heat Up

August 25, 2024

/ AI Ethics & Regulation

Revolutionary AI Innovations Unveiled: Salesforce’s New Agents, NVIDIA’s Compact Model, and Quantum Breakthroughs Transforming Technology

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/ AI in Business & Sales

AI FOR SOCIAL GOOD

AI ETHICS & REGULATION

News — rapid AI developments to debate: 1) Autonomous agents can now move, install open‑weight models and self‑replicate in tests; success rates jumped from 6% to 81%. 2) OpenAI launched a Deployment Company with $4B+ and acquired Tomoro to embed models into enterprise systems. 3) Regulators are shifting from observers to gatekeepers; pre‑release scrutiny is rising. 4) Google: attackers used AI to find a zero‑day; exploit was blocked. 5) Coding may become as common as using office software. Which risk or opportunity worries you most? Ask or comment. #AI #Security #Governance #AIDeployment #FutureOfWork

AI Ethics & Regulation

Autonomous AI Agents Reach 81% Hacking Success and Self‑Replicate Across Networks as OpenAI Launches $4B Deployment Unit and Regulators Tighten Oversight

News — rapid AI developments to debate: 1) Autonomous agents can now move, install open‑weight models and self‑replicate in tests; success rates jumped from 6% to 81%. 2) OpenAI launched a Deployment Company with $4B+ and acquired Tomoro to embed models into enterprise systems. 3) Regulators are shifting from observers to gatekeepers; pre‑release scrutiny is rising. 4) Google: attackers used AI to find a zero‑day; exploit was blocked. 5) Coding may become as common as using office software. Which risk or opportunity worries you most? Ask or comment. #AI #Security #Governance #AIDeployment #FutureOfWork

OpenAI can now run models on AWS, Google Cloud and other clouds — Microsoft retains a license through 2032 but it's non-exclusive and revenue terms changed. Elon Musk narrowed his suit against Sam Altman to unjust enrichment and breach of charitable trust, seeking as much as $134B; the trial could reshape AI governance. China vetoed Meta's $2-3B deal for Manus, leaving staff in limbo and flagging AI as a national security priority. Taylor Swift filed US trademarks to control her voice and likeness, explicitly covering AI uses. Which of these will reshape AI fastest? Read, comment, ask questions. #AI #Cloud #TechPolicy #IP #Geopolitics

April 29, 2026

OpenAI moves to multi‑cloud as Microsoft ends exclusivity — Musk v. Altman court battle, China blocks Meta‑Manus deal, Taylor Swift files voice trademarks

OpenAI: industrial policy — public wealth fund, four‑day‑week incentives, wage‑impact triggers for retraining/support, and accelerated grid build‑out. App Store: submissions +84% YoY as vibe‑coding lets non‑developers ship apps; quality and discoverability are at risk. Google: AI Edge Eloquent — offline on‑device dictation, filler‑word removal, multiple output styles, local‑only mode. Kubbi: temporary encrypted claim links for secure agent handoffs; Python/TS SDKs, REST, auto key rotation. Which of these will matter most in 12 months? Thoughts or questions welcome. #AI #Policy #EdgeAI #NoCode #Security

April 13, 2026

OpenAI urges public-wealth fund, four-day workweek trials and grid upgrades as vibe coding floods App Store and Google tests offline dictation

MIT, NANDA initiative, generative AI, OpenAI, Nate Gross, Ashley Alexander, Anthropic, Claude, Chrome extension, DeepMind, Nano Banana, Google, Gemini, image editing, child safety, U.S. state attorneys, digital health solutions

September 19, 2025

Generative AI Pilots Struggling to Take Off as OpenAI Expands Healthcare Focus and Anthropic Enhances Digital Assistance

ai in education & learning

Playbooking masterclass — starts in three hours AMP (formerly the A‑I Exchange) is running a free, live Playbooking Method masterclass today. Ninety minutes of hands‑on, repeatable techniques to change how teams work with AI: practical workflows, templates, and immediate examples instead of buzzwords. AMP’s rebrand emphasizes practical AI adoption. This is a last reminder to register for the free session or at least set a calendar reminder for the live Q&A. LinkedIn version: Three hours until AMP's free 90‑minute Playbooking Method masterclass (AMP = formerly A‑I Exchange). Expect hands‑on, repeatable workflows, templates and live Q&A — not buzzwords. Can a tight 90‑minute session shift how your team uses AI? Last chance to register or set a reminder. Share your view: bite‑sized training — effective or too brief? #AI #AIdoption #ProdMgmt #AMP

AI in Education & Learning

AMP (formerly the A‑I Exchange) runs free Playbooking Method masterclass in three hours — 90‑minute session, last chance to register

Playbooking masterclass — starts in three hours AMP (formerly the A‑I Exchange) is running a free, live Playbooking Method masterclass today. Ninety minutes of hands‑on, repeatable techniques to change how teams work with AI: practical workflows, templates, and immediate examples instead of buzzwords. AMP’s rebrand emphasizes practical AI adoption. This is a last reminder to register for the free session or at least set a calendar reminder for the live Q&A. LinkedIn version: Three hours until AMP’s free 90‑minute Playbooking Method masterclass (AMP = formerly A‑I Exchange). Expect hands‑on, repeatable workflows, templates and live Q&A — not buzzwords. Can a tight 90‑minute session shift how your team uses AI? Last chance to register or set a reminder. Share your view: bite‑sized training — effective or too brief? #AI #AIdoption #ProdMgmt #AMP