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BG2 Guest Interview (new experiment) - Deep Dive OpenAI Enterprise. Forward Deployed Engineering, GPT-5, and More 🚀🤖 Apoorv Agrawal Sherwin Wu Olivier Godement @openai

42,620 views • 11 months ago •via X (Twitter)

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The week in OpenAI and Anthropic news (Week 19, 2026) OpenAI rolled out GPT-5.5 Instant as the new ChatGPT default model with memory sources and ChatGPT for Excel and Google Sheets globally, launched three new realtime voice models in the API (GPT-Realtime-2, GPT-Realtime-Translate, GPT-Realtime-Whisper) and an OpenAI CLI, introduced Trusted Contact safety feature, GPT-5.5-Cyber for defenders, B2B Signals report, ChatGPT Futures Class of 2026, EMEA youth safety blueprint, privacy in model training explainer, expanded ads pilot, published engineering posts on low-latency voice, MRC supercomputer networking, running Codex safely internally, and investigating accidental chain-of-thought grading during reinforcement learning, plus discovered ChatGPT Personal Wiki and dropped a goblin-themed merch line that sold out Anthropic hosted Code with Claude developer conference in San Francisco, announced a new enterprise AI services company with Blackstone, Hellman & Friedman, and Goldman Sachs, signed a SpaceX compute partnership and raised Claude Code and API usage limits, made Claude for Excel, PowerPoint, and Word generally available with Claude for Outlook in beta, launched Workload Identity Federation, financial services agent templates, dreaming, outcomes, and multiagent orchestration in Managed Agents, shipped 60+ Claude Code reliability fixes, published research on agentic misalignment training, sandbagging mitigation, model spec midtraining, and Natural Language Autoencoders, donated Petri to Meridian Labs, introduced The Anthropic Institute research agenda, plus discovered Orbit proactive assistant for Cowork and /radio command in Claude Code, and more

Tibor Blaho

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OpenAI and Anthropic week in review (Week 15, 2026) OpenAI published industrial policy ideas for the Intelligence Age, announced Safety Fellowship pilot program, acquired Cirrus Labs for agent infrastructure, introduced new $100 Pro tier with 5x Codex usage over Plus as the existing $200 Pro tier remains the highest option, published child safety blueprint, announced over $100 million in OpenAI Foundation grants for Alzheimer's research, shared enterprise AI update with enterprise now over 40% of revenue, released GPT-5.3 Instant Mini as new fallback model, announced older Codex model retirements, added Outlook shared mailboxes and calendars support in ChatGPT, paused UK Stargate project over energy costs and regulation, disclosed macOS app signing security incident from Axios supply chain compromise, and launched Prism Paper Review, plus spotted ImageGen 2 A/B testing in ChatGPT and European Commission plans to designate ChatGPT as very large online search engine under the Digital Services Act Anthropic expanded partnership with Google and Broadcom for multiple gigawatts of next-generation compute with run rate surpassing $30B and over 1,000 enterprise customers now spending $1M+ annually, officially announced previously leaked Claude Mythos Preview through Project Glasswing finding thousands of zero-day vulnerabilities with $100M in usage credits, launched Managed Agents in public beta and published engineering blog on decoupling agent architecture, published trustworthy agents framework update, made Claude Cowork generally available on all paid plans with enterprise controls, introduced the advisor tool for pairing Opus with Sonnet or Haiku, and launched Claude for Word beta, and more

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"Projects like the New Deal, the Apollo program pale in comparison to what we're doing right now." 🆕 Greg Brockman (Greg Brockman) joins us to talk GPT-5, GPT-OSS, and what's next on OpenAI's road to crystallizing all of human intelligence! “Energy turns into compute, turns into intelligence… crystallizing compute into potential energy you can release again and again.” 0:00:04 - Introductions 0:01:04 - The Evolution of Reasoning at OpenAI 0:04:01 - Online vs Offline Learning in Language Models 0:06:44 - Sample Efficiency and Human Curation in Reinforcement Learning 0:08:16 - Scaling Compute and Supercritical Learning 0:13:21 - Wall clock time limitations in RL and real-world interactions 0:16:34 - Experience with ARC Institute and DNA neural networks 0:19:33 - Defining the GPT-5 Era 0:22:46 - Evaluating Model Intelligence and Task Difficulty 0:25:06 - Practical Advice for Developers Using GPT-5 0:31:48 - Model Specs 0:37:21 - Challenges in RL Preferences (e.g., try/catch) 0:39:13 - Model Routing and Hybrid Architectures in GPT-5 0:43:58 - GPT-5 pricing and compute efficiency improvements 0:46:04 - Self-Improving Coding Agents and Tool Usage 0:49:11 - On-Device Models and Local vs Remote Agent Systems 0:51:34 - Engineering at OpenAI and Leveraging LLMs 0:54:16 - Structuring Codebases and Teams for AI Optimization 0:55:27 - The Value of Engineers in the Age of AGI 0:58:42 - Current state of AI research and lab diversity 1:01:11 - OpenAI’s Prioritization and Focus Areas 1:03:05 - Advice for Founders - It's Not Too Late 1:04:20 - Future outlook and closing thoughts 1:04:33 - Time Capsule to 2045 - Future of Compute and Abundance 1:07:07 - Time Capsule to 2005 - More Problems Will Emerge

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305,090 views • 1 year ago