OpenAI
All posts tagged with #OpenAI
ChatGPT Ads Just Landed in Southeast Asia: Your Window Before the Auction Gets Expensive
ChatGPT Ads went live in Indonesia, Malaysia, the Philippines, Singapore, Thailand, Vietnam, and Taiwan, crossing 60 countries on a $1B run rate. Here is how to test the surface while it is still cheap.
GPT-6 Prompt Caching Cuts Agent Input Costs by Up to 90%: What to Change in Your Prompts This Week
OpenAI's prompt caching update for GPT-6 gives up to 90% off cached input tokens, a 30-minute reuse window, and a diagnostics dashboard that explains every cache miss. Here's how to restructure agent prompts so the cache actually hits.
OpenAI Academy Is Free. Your AI Workshop Isn't. Now What?
OpenAI now ships role-based training paths with badges, for free. Here's what dies, what survives, and where the localization gap leaves an opening for trainers.
Your AI Spend Needs a Receipt: Build an ROI Framework Before the Vendor Builds It for You
OpenAI's new Admin Console analytics can tell finance what your AI spend bought — but a vendor's dashboard is not evidence. Here's the one-task baseline method to build your own ROI framework before renewal season.
750 Tokens a Second: Speed Is Deciding Which AI Agents Survive
OpenAI and Cerebras previewed an 11x-faster API tier this week, and Google and Nvidia shipped speed-focused releases the same week. Why latency now decides which AI agents are usable in production, and how to evaluate it before your next tool purchase.
OpenAI's Trillion-Dollar IPO Is Weeks Away. Here's What It Changes for the Tools You Pay For
OpenAI's trillion-dollar September IPO will put quarterly profit pressure on a company that has never priced for it. Here's what that means for the AI tools you pay for, and what to do before the listing.
Stop Pricing AI by the Token. Price It by the Outcome
OpenAI's pricing strategy reveals the metric teams should actually track: cost per successful outcome, not cost per token. Here is how to build an outcome-cost model.
What OpenAI's Government Playbook Means for Your AI Stack (And Why Compliance Is About to Become a Competitive Advantage)
OpenAI published National Security Principles and launched the Daybreak cyber defense program with 12+ allied governments. Here is why that makes OpenAI the most compliance-ready AI provider — and what it means for your procurement decisions.
The Talent Wars Just Turned Ugly: What Apple vs. OpenAI Means for Every AI-Powered Marketer
Apple's lawsuit against OpenAI alleges 400+ poached employees brought trade secrets—including "actual parts" and confidential files. For marketers, this signals a new legal risk to the AI tools powering your workflows. Here's what to do now.
Can We Trust AI Benchmarks Anymore? What OpenAI's SWE-Bench Audit Means for You
OpenAI audited the SWE-Bench Pro coding benchmark and found ~30% of tasks are broken. Every model leaderboard based on it is now suspect. Here's what that means for choosing AI coding tools — and why the future of evaluation is AI auditing AI.
Your AI Agent Is Only as Smart as Its Memory
OpenAI's GPT-5.6 Sol scored 7.8% on ARC-AGI-3. After turning on two settings — retained reasoning and compaction — the score tripled to 38.3% with 6x fewer tokens. Same model, different harness. Here's what that means for anyone running AI agents in production.
How AI Agents Went From Dev Tool to Everyone's Tool: What OpenAI's Codex Data Means for You
OpenAI's Codex data reveals a 137x explosion in non-developer AI agent usage — agents aren't just for engineers anymore. Here's what the shift means for your workflow and three concrete ways to start delegating to agents this week.