“#17 ▶️ I hate Opus 5. It’s the best model, anyway. How I AI Podcast Claire Vo runs a live How I AI benchmark comparing seven AI models (Opus 5, Sonnet 5, Fable, Opus 4, Mabu, GPT Terra and Gemini 3.1 Pro) across six tasks—PRD creation, prototype creation, wireframe creation, bug triage, agentic coding and agent voice—scored 70% by her manual vibe check and 30% by GPT-5.5, with Opus 5 emerging first on the leaderboard.”

#17 ▶️ I hate Opus 5. It’s the best model, anyway. How I AI Podcast Claire Vo runs a live How I AI benchmark comparing seven AI models (Opus 5, Sonnet 5, Fable, Opus 4, Mabu, GPT Terra and Gemini 3.1 Pro) across six tasks—PRD creation, prototype creation, wireframe creation, bug triage, agentic coding and agent voice—scored 70% by her manual vibe check and 30% by GPT-5.5, with Opus 5 emerging first on the leaderboard.

“OpenAI is launching GPT‑Live, a full‑duplex voice model that can listen and speak simultaneously, use conversational cues like “mhmm,” and delegate deeper searches or reasoning to GPT‑5.5 in the background; two versions (GPT‑Live‑1 and GPT‑Live‑1 mini) are rolling out to ChatGPT users globally today with an API sign‑up available.”

Today's top 25 insights for PM Builders, ranked by relevance from X, Blogs, and YouTube. OpenAI launches GPT-Live full-duplex voice API #1 𝕏 Sam Altman announced that GPT-5.6 Sol launches Thursday, urging builders to start integrating and experimenting with the new model. #2 📝 OpenAI News Introducing GPT-Live - OpenAI is launching GPT‑Live, a full‑duplex voice model that can listen and speak simultaneously, use conversational cues like “mhmm,” and delegate deeper searches or reasoning to GPT‑5.5 in the background; two versions (GPT‑Live‑1 and GPT‑Live‑1 mini) are rolling out to ChatGPT users globally today with an API sign‑up available.

“An experimental Web Component was built (using GPT-5.5) to embed code from GitHub URLs by converting them to raw.githubusercontent links and fetching/displaying specified ranges of lines with line numbers.”

#4 📝 Simon Willison github-code Web Component - An experimental Web Component was built (using GPT-5.5) to embed code from GitHub URLs by converting them to raw.githubusercontent links and fetching/displaying specified ranges of lines with line numbers.

“in Peter Yang switched from Claude Code to Codex for GPT-5.5’s speed, generous limits, steering controls and best-in-class browser/computer automation. He still uses Claude Code’s Opus frontend and welcomes the ongoing AI competition benefiting builders.”

#8 in Peter Yang switched from Claude Code to Codex for GPT-5.5’s speed, generous limits, steering controls and best-in-class browser/computer automation. He still uses Claude Code’s Opus frontend and welcomes the ongoing AI competition benefiting builders. #9 ▶️ My First Winning Agentic AI Trading Strategy On Polymarket All About AI An agentic AI trading strategy on Polymarket that uses AI-calculated fair values and a fixed 4¢ spread to provide liquidity as a maker on 5-minute Bitcoin up/down markets.

“He describes a Codex CLI + GPT‑5.5 high workflow (one project per window, create a failing test first, strict guardrails, /review cycles, and Codiff walkthroughs) and argues teams must change processes (e.g., push to main faster) to retain that new velocity.”

#8 📝 Mario Zechner Modern Engineering Values - The author says he rarely writes code by hand anymore and has shipped or contributed to multiple projects largely AI-written—Vite+ (Rust features, ~90% AI-written), fate 1.0 (100% AI-written), Codiff (100% AI-written), Athena Crisis (70+ bugfixes, 100% AI-written), and Void (100% AI-written, not yet shipped)—because coding agents now produce production-quality code in minutes. He describes a Codex CLI + GPT‑5.5 high workflow (one project per window, create a failing test first, strict guardrails, /review cycles, and Codiff walkthroughs) and argues teams must change processes (e.g., push to main faster) to retain that new velocity.

“OpenAI made its frontier models (including GPT‑5.5) and Codex generally available on AWS via Amazon Bedrock on June 1, 2026, enabling enterprises to run those models in Commercial and GovCloud regions using AWS-native security, procurement, billing, and governance workflows.”

OpenAI’s GPT-5.5 and Codex now on AWS Bedrock #1 📝 OpenAI News OpenAI frontier models and Codex are now available on AWS - OpenAI made its frontier models (including GPT‑5.5) and Codex generally available on AWS via Amazon Bedrock on June 1, 2026, enabling enterprises to run those models in Commercial and GovCloud regions using AWS-native security, procurement, billing, and governance workflows.

“#4 in Peter Yang highlights how Josh Pigford—fresh off a $4M exit— is solo-building five AI-agent products, using a 3-phase build process, adversarial code reviews with Opus + GPT-5.5, and a “but for real” AI bug-catching hack.”

GenAI PM Daily May 31, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 19 insights for PM Builders, ranked by relevance from X, LinkedIn, Blogs, and YouTube. Josh Pigford’s 3-phase AI-agent build process #1 𝕏 NVIDIA AI launched DynoSim, a full-Rust, workload-driven simulator for the Dynamo serving stack that models your entire inference pipeline on one virtual timeline and screens thousands of deployment configurations in high-fidelity simulation. #2 𝕏 Clement Delangue hails AI Security Institute’s open release of its evals, datasets and models on Hugging Face, empowering researchers worldwide to scrutinize, reproduce and build on their AI safety work. #3 𝕏 Guillermo Rauch rolled out per-API Key spend caps on AI Gateway, letting users set budget limits for each key to better control costs. #4 in Peter Yang highlights how Josh Pigford—fresh off a $4M exit— is solo-building five AI-agent products, using a 3-phase build process, adversarial code reviews with Opus + GPT-5.5, and a “but for real” AI bug-catching hack. #5 𝕏 There’s An AI For That launched a free, open-source AI that uses only Wi-Fi signal reflections—no cameras or sensors—to reconstruct real-time, full-body poses through walls, in the dark, and across rooms.

“They show harness choices materially affect measured capability—for example, GPT‑5.5 performs better when compaction preserves long-context task-relevant information, and UK AISI’s cyber range reported up to a 59% performance gain when test-time budget rose from 10M to 100M tokens, with performance still increasing at the highest budget.”

#6 📝 OpenAI News A shared playbook for trustworthy third party evaluations - OpenAI recommends third-party evaluations explicitly state the claim being tested (capability elicitation, safeguard performance, or comparison) and provide evidence validating results by detailing the harness (tools, scaffolding, budget/tokens/time), scoring, and checks for reward hacking, refusals, contamination, broken problems, and sandbagging. They show harness choices materially affect measured capability—for example, GPT‑5.5 performs better when compaction preserves long-context task-relevant information, and UK AISI’s cyber range reported up to a 59% performance gain when test-time budget rose from 10M to 100M tokens, with performance still increasing at the highest budget.

“Also, Opus 4.8 is about four times less likely than Opus 4.7 to let code flaws pass unremarked, scored 84% on Online-Mind2Web, was the only model to complete every Super-Agent case end-to-end (beating prior Opus models and GPT-5.5), is the first to break 10% on the Legal Agent all-pass standard, and shows misalignment rates similar to Claude Mythos Preview while Genie users report 61% cheaper token cost versus Opus 4.7 for multimodal reasoning.”

Anthropic releases Claude Opus 4.8 with dynamic workflows #1 📝 Anthropic News Introducing Claude Opus 4.8 - Anthropic released Claude Opus 4.8 today at the same price as Opus 4.7, adding user-selectable effort levels, Claude Code “dynamic workflows,” and a fast mode that runs 2.5× faster and is three times cheaper than on prior models. The company reports broad capability and alignment gains—Opus 4.8 is about four times less likely than Opus 4.7 to let code flaws pass unremarked, scored 84% on Online-Mind2Web, was the only model to complete every Super-Agent case end-to-end (beating prior Opus models and GPT-5.5), is the first to break 10% on the Legal Agent all-pass standard, and shows misalignment rates similar to Claude Mythos Preview while Genie users report 61% cheaper token cost versus Opus 4.7 for multimodal reasoning. Also covered by: @v0 , @There's An AI For That , @There's An AI For That , @Aravind Srinivas , @claire vo 🖤, building @chatprd , @Mike Krieger , @Claude, @Cognition, @Claire Vo , @Dan Shipper , @How I AI Podcast

“#8 🟣 The AI paradox: More automation, more humans, more work | Dan Shipper Lennys Podcast Dan Shipper describes Every’s custom “senior engineer benchmark” that asks models and engineers to rewrite their vibe-coded Proof application from first principles, showing GPT 5.5 (Opus 4.7 plan) scored 62/100 versus human engineers in the high 80s to low 90s.”

#8 🟣 The AI paradox: More automation, more humans, more work | Dan Shipper Lennys Podcast Dan Shipper describes Every’s custom “senior engineer benchmark” that asks models and engineers to rewrite their vibe-coded Proof application from first principles, showing GPT 5.5 (Opus 4.7 plan) scored 62/100 versus human engineers in the high 80s to low 90s. All coding models prior to GPT 5.5 scored 30/100 on the senior engineer benchmark. GPT 5.5 running on the Opus 4.7 plan achieved 62/100 on the benchmark rewrite. Human senior engineers each scored in the high 80s to low 90s out of 100 on the same benchmark.