OpenAI fired back at Anthropic with GPT-5.5, Meta cut 8,000 jobs to fund its AI buildout, the White House accused China of "industrial-scale" AI theft, Anthropic quietly hit a $1 trillion valuation on secondary markets, and the Pentagon vibe-coded 100,000 AI agents inside Gemini.
Welcome to the Around the Horn Digest, the one page you need to sound dangerously informed at work tomorrow. Today continued the one-week-one-frontier-drop rhythm: exactly seven days after Anthropic shipped Claude Opus 4.7, OpenAI countered with GPT-5.5, a "worker-class" model that lost to Opus 4.7 on SWE-Bench Pro and won on almost everything else. Meanwhile Meta's all-in AI bet claimed another 8,000 jobs, Anthropic quietly lapped OpenAI on secondary markets at a trillion-dollar valuation, and Google slipped a brand new eighth-generation TPU into the same news cycle. Just another Thursday.
Let's get into it.
Previous digests: Wed, Apr 22 | Mon, Apr 20 | Weekend, Apr 17-19 | Thu, Apr 16 | Wed, Apr 15 | Tue, Apr 14 | Mon, Apr 13 Monthly skill digests: AI Skill, April Week 1 | AI Skill, March (Part 3) | AI Skill, March (Part 2)
Around the Horn: Friday, April 24, 2026
The big news today: OpenAI shipped GPT-5.5, its strongest model yet, built specifically to finish your work instead of answer your questions. It's state-of-the-art on Terminal-Bench 2.0 (command-line agent tasks) at 82.7% vs. Claude Opus 4.7's 69.4%, it wins or ties industry professionals on 84.9% of tasks across 44 occupations (GDPval), and it landed in ChatGPT and Codex today for Plus, Pro, Business, and Enterprise users, with API access coming "very soon" at $5/$30 per million tokens ($30/$180 for Pro). GPT-5.5 also jumps from 27.1% to 35.4% on FrontierMath Tier 4, the hardest research-level math problems, and an internal version with a custom harness helped discover a new proof about off-diagonal Ramsey numbers in combinatorics, later verified in Lean.
The cadence is the story. Anthropic shipped Opus 4.7 on April 16 with claims to lead on agentic coding. Seven days later, OpenAI shipped a model that beats it on Terminal-Bench by 13 points, ties or beats it on GDPval, OSWorld-Verified, and FrontierMath, and loses on SWE-Bench Pro (58.6% to Opus 4.7's 64.3%) with an asterisk citing Anthropic's own disclosure of "signs of memorization" on that eval. Credit to Anthropic for flagging that screen. Both labs are now shipping "worker" models, not chat models. The two-labs-one-week launch tempo is the new rhythm, and neither lab looks ready to blink.
The wrinkle: OpenAI graded GPT-5.5 as "High" for both biological/chemical and cybersecurity capabilities, shipped tighter classifiers that will refuse more security-adjacent prompts, and launched Trusted Access for Cyber, a verified-users program that grants legitimate defenders access to a permissive GPT-5.4-Cyber variant. Partner XBOW already reports "Mythos-like hacking, open to all" in early testing. Today's Ethan Mollick post calls it a sign of the future. Every.to's vibe check calls it "a top-end senior engineer, and easy to talk to." One NVIDIA engineer told OpenAI: "Losing access to GPT-5.5 feels like I've had a limb amputated." Our full deep dive on what this means for the worker-model era is below. [DEEP DIVE: read the full breakdown here].
🏆 TOP 5 NEWS (Around the Horn)
- Meta is cutting 8,000 jobs (10% of staff) to fund its AI push (Bloomberg, CNN).
- The White House accused China of "industrial-scale" AI theft via distillation.
- Anthropic hit a $1 trillion valuation on secondary markets, passing OpenAI (trending on X; per @kimmonismus the surge is driven less by fundamentals and more by investor FOMO, scarce share supply, and Claude momentum creating a near-auction environment; @unusual_whales, @iamgingertrash).
- The Pentagon vibe-coded 100,000+ AI agents on Gemini for unclassified work.
- Google unveiled eighth-gen TPUs, two chips built for the agentic era.
Honorable Mentions
- Tencent open-sourced Hy3-preview, its first flagship 295B-parameter Mixture-of-Experts model (21B active, 256K context, three reasoning modes), led by ex-OpenAI researcher Yao Shunyu (Hy site, free on OpenRouter, SCMP coverage).
- Anthropic confirmed in a court filing there is no "kill switch" for its AI deployed in classified Pentagon settings.
- Three new models shipped on Tinker: Kimi K2.6 (32k/128k context), Qwen3.6-35B-A3B MoE, and Qwen3.6-27B dense, with upgrades on long-horizon coding, multi-agent tasks, and tool use.
- Samsung workers rallied 30,000 strong outside its Pyeongtaek chip hub to demand a greater share of AI-chip profits.
🍪 TOP TREATS TO TRY
- Spotify now connects inside Claude so you can ask for personalized music or podcast recommendations based on your full listening history, available across 2,000+ devices (free to try with a Spotify account).
- Claude's new everyday connectors pull live data from AllTrails, Instacart, Audible, Booking.com, and TripAdvisor directly into your chat (find a hike, order groceries, book a trip, pick an audiobook); free with any Claude plan.
- Google Stitch open-sourced the DESIGN.md spec (plus a wizard to extract one from your product) so any coding agent can import or export your visual identity system instead of guessing intent (GitHub); free to try.
- Noscroll is an AI bot that reads the internet for you and texts you a high-signal daily digest over SMS, so you can kill your doomscroll and keep the signal (TechCrunch); no pricing details.
- AirJelly is a context-aware proactive desktop agent that watches what you're working on and flags intents and overdue tasks before you ask, pitched as the first of its kind (launch); no pricing details.
- Reloop Animation Studio generates AI video ads in Ultra-Realistic, Pixar, Manga, or 3D Clay style with full character and scene consistency from script to export, no prompts needed; no pricing details.
- Claude ultrareview runs a deep, multi-agent code review in the cloud with the
/ultrareview slash command to find and verify bugs before you merge (included with Claude Code).
🏢 Big Tech & Major Companies
- Amazon + Anthropic struck a deal for Freshfields to help build legal AI tools that Anthropic can then sell to rival law firms, tapping the magic-circle firm's expertise.
- SpaceX is eyeing enterprise AI as its next big business line after cosmic exploration, pursuing a TAM it pegs at $22.7T-$26.5T per S-1 filings, buying GPUs, and building a sales team.
- IBM and ServiceNow earnings reignited a software selloff on AI-disruption fears, while Texas Instruments stock popped 19% for its best day since 2000 as AI chip demand soared.
- Weyerhaeuser, America's largest landowner, is using AI to digitize the forest and pursue autonomous logging equipment, hoping to double profits by 2030 independent of any lumber-price lift.
- Elon Musk and Sam Altman's lawsuit over OpenAI's founding mission heads to trial (NYT).
- Google faces new EU Digital Markets Act pressure to let rival AI assistants access Android voice activation and search tools Gemini already uses, or face a formal probe and fines.
- Anthropic's Claude Desktop was caught installing an undisclosed native messaging bridge on macOS that pre-authorizes browser extensions and runs outside the sandbox, raising privacy and ePrivacy Directive questions (full writeup).
- Anthropic published a postmortem confirming three changes (default reasoning effort, caching optimization, system-prompt verbosity limits) caused recent Claude Code quality complaints; all three were reverted or fixed and subscription usage limits have been reset (HN discussion).
- Beehiiv rolled out webinars and customizable paywalls as it pushes to become an all-in-one creator hub.
- Claude Code for Healthcare webinar registration opened, featuring live demos of how physicians are building agent experiences on Claude.
- Anthropic and Freshfields agreed to jointly build legal AI tools that Anthropic can sell to the firm's rivals (FT).
💼 AI Productivity, Labor & Economics
- The Verge argued "you're about to feel the AI money squeeze" as OpenAI and Anthropic pass scaling and compute costs onto users via higher prices and tighter limits.
- Goldman Sachs argued cybersecurity firms show the software industry how to navigate AI through M&A and agility as software braces for AI disruption.
- CNN Business reported fixes exist for AI's toll on the power grid, but regulatory, infrastructure, and political barriers are keeping them on the shelf.
- The FT reported high earners are racing ahead on AI as a widening workplace divide reinforces gender and pay gaps (FT-Focaldata poll).
- NYMag asked whether anyone (Congress included) actually has a plan for the AI-driven job losses now landing.
- JPMorgan is tracking its software engineers' AI use via internal dashboards to measure productivity gains.
- Axios reported AI use is surging among D.C. policymakers.
- Axios argued AI labs don't seem to care that consumers hate them.
- Fast Company argued Reese Witherspoon is correct about AI.
- Tom's Guide wrote about using Jeff Bezos' "Day 1" rule to fix a ChatGPT workflow and beat procrastination.
- Top VC Elad Gil told AI startup founders to sell within 12-18 months because the current boom may fade as competition and markets shift.
- Dylan Patel (SemiAnalysis) told Patrick O'Shaughnessy that AI token demand is exploding; his firm's spend is $7M/year, Anthropic is tracking toward $35-40B ARR, and memory/GPU/TSMC bottlenecks keep tightening.
- Andreessen-backed Leading the Future (the pro-AI super PAC) announced its first slate of state legislative endorsements; all Republicans across eight states as it pushes down-ballot AI policy fights.
- Axios reported the Iran war threatens to squeeze industrial inputs chip manufacturers depend on, constraining the AI boom.
🤖 AI Agents & Infrastructure
- Orkes raised $60M to help companies scale reliable AI and agentic systems beyond pilots.
- Era raised $11M to build a software platform for AI gadgets (glasses, rings, pendants) as hardware form factors multiply.
- Kollab is an AI-native workspace where teams and AI agents collaborate in one shared space, with support for Skills and Bots.
- Monid gives your agent one wallet that unlocks every paid tool it needs, plus a single Skill to read X, Reddit, TikTok, LinkedIn, Google Reviews, and Amazon.
- OpenSwarm is a free open-source mission control center for commanding a swarm of AI employees from one dashboard (launch).
- LiveAvatar lets you create interactive AI live avatars that talk, reason, and guide users across your product (launch).
- Developer @trycua built cua, open-source infrastructure for computer-use agents with full-desktop sandboxes, SDKs, and benchmarks across macOS, Linux, and Windows (deep dive on macOS window internals).
- autobrowse (from Browserbase) installs a ready-to-use browser automation skill directly into your AI agent.
- CORE is an open-source AI butler that clears your backlog without you; it reads your scratchpad, pulls codebase context, drafts a plan, and spins up a Claude Code session in the background (Show HN).
- Artisan's founder told TechCrunch to stop hiring the wrong humans, not stop hiring humans; his product hires Ava, an autonomous AI BDR.
- OpenAI explained why it no longer uses SWE-bench Verified to measure frontier coding: the benchmark is contaminated with training leakage and flawed tests, and they recommend SWE-bench Pro instead.
- XBOW tested GPT-5.5 under early access and reports Mythos-like offensive security and hacking capabilities, now open to all.
- Every.to called GPT-5.5 "a top-end senior engineer, and easy to talk to" after three weeks of internal testing; Dan Shipper's video vibe check breaks down coding, writing, knowledge work, and Codex in depth:
- Developer @thoughtfullab's Thoughtful Lab let AI post-train AI for 20 hours on the Tinker API and reported the research-intuition bottleneck (GitHub, FrontierSWE walkthrough, X thread).
- LocalLLM shares hardware-tailored one-liner install guides so anyone with a GPU can run Llama, Mistral, or Qwen locally (Show HN, looking for contributors).
- Alternative local mobile LLM stacks include Apfel (iOS/macOS, runs Apple's 3B Siri model) and off-grid-mobile-ai (Android, ~7B models at 15-30 tok/s on flagships) per the LLM pricing HN thread.
- anderegg.ca argued LLM pricing has never made sense, pointing to the recent confusing Claude Code tier flip-flopping.
- Developer Simon Willison style writeup: MyKana is a Japanese learning app a developer built for his own study after a decade of traveling back and forth to Japan.
- A GGUF-quantized Qwen3.5-27B-DFlash variant optimized for local inference was released by spiritbuun.
- John Hallman announced he's switched from pre-training to post-training because "this is the year of agents; the year where work, not just tasks, gets automated."
- Matt Pocock (AI Hero) delivered a conference talk arguing software fundamentals matter MORE in the AI age, not less, walking through failure modes and fixes grounded in Ousterhout, Brooks, and the Pragmatic Programmer:
- Developer @soft_servo vibe-coded a complete 7-DOF robot arm 100% in Codex with GPT-5.5: a URDF robot description with functional kinematics, a custom GUI, and STEP parts/assembly (minus the gripper); says the equivalent would have taken weeks stitching half a dozen tools together (@jakeottiger reaction).
- @TheAhmadOsman shared the full "Opus 4.5 at home" stack for running near-frontier models locally: 2x RTX 3090s ($700-$900 each on r/hardwareswap), Qwen 3.6 27B, your agent of choice (Claude Code, OpenCode, etc.), and self-hosted SearXNG for web access (@emilyhanyf added that this combo is already delivering production-grade agent work without any cloud dependency).
🔬 AI Research & Models
- METR published new evidence on AI R&D progress from NanoGPT speedruns, with four recent records co-credited to AI agents, most contributing moderate optimizations but one catching a long-standing human-missed config bug (cumulative 31x training-time speedup since 2024); @KatrinRenz called it the first public benchmark where agents are measurably accelerating AI research loops.
- DR-Venus (inclusionAI) is a 4B edge-scale deep research agent trained on only 10K open data that narrows the gap to 30B+ systems (paper, GitHub, @etai_sella reaction).
- Researchers published "Hebbian Deep Learning Without Feedback" on OpenReview, advancing biologically plausible deep learning via Hebbian plasticity and soft winner-take-all nets without any backprop (@NanoClaw_AI reaction, @timos_m).
- Google DeepMind announced Decoupled DiLoCo, a resilient distributed training architecture that keeps AI training runs on track across distant data centers with exceptional efficiency, even when hardware fails (@akseljoonas thread, Jeff Dean, @Ar_Douillard, @deedydas).
- Vision Banana (Google DeepMind) is a generalist vision model instruction-tuned from Nano Banana Pro, hitting SOTA on segmentation, depth, and surface-normal tasks simultaneously (@ant_oss reaction).
- Basis released ExoPredicator, a robot-planning approach that abstracts time and state the way humans do (reasoning at whatever granularity the task requires) so planning stays tractable on long horizons (Zenna Tavares, @DavidDAfrica reaction).
- A new paper, "On the Value of Tokeniser Pretraining in Physics Foundation Models", shows measurable gains when you pretrain the tokenizer on scientific data first (@jayfarei reaction).
- OpenAI open-sourced Monitorability Evals, including datasets, code, and a new filtering strategy for noise-dominated intervention evaluation instances; Amanda Askell called it a concrete step toward safer scalable oversight, and @mhsotoudeh noted it finally gives the community reproducible noise-filtering tools for intervention evals (@LukeBailey181).
- Mintz hosted "From Agents to World Models," arguing the next AI frontier is systems that simulate the world instead of just navigating it, enabling true counterfactual planning.
- SyntheMol-RL (the learning-based generative model) is being used to design new antibiotics in the war against microbial resistance, sourcing viable candidates from billions of potential compounds.
- Normal Computing (with Fraunhofer IESE) built DRAMBench, a benchmark that tests how well AI auto-translates natural-language DRAM chip specs into formal timed Petri net models for verification (launch).
- ExpertGen (from RAI Institute) is a scalable sim-to-real expert policy learning system that turns imperfect behavior priors into robust real-world robotics and agent policies (@tszzl).
- GIANTS introduces insight anticipation, GiantsBench (17k examples across eight scientific domains), and an RL-trained 4B model that predicts downstream scientific insights directly from parent papers (Chelsea Finn thread).
- Researchers published "Self-Evolving LLM Memory Extraction Across Heterogeneous Tasks" showing LLMs can autonomously extract, store, and evolve task-specific memory across completely different domains (@yyqcode thread).
- OpenAI open-sourced its privacy-filter model on Hugging Face to help strip sensitive data during training pipelines.
- NVIDIA released the Nemotron-Personas-Korea dataset to train culturally accurate Korean personas into LLMs (@hyunw_kim).
- Stanford HAI reported on how an AI health coach could change your mindset.
- Tiptree Systems launched Althea, an AI research assistant that handles literature review, analysis, and daily scientist tasks inside an open research commons (launch).
- A new proof about Ramsey numbers in combinatorics was discovered by an internal GPT-5.5 harness and verified in Lean (covered in the lead story).
- ARC Prize dropped the next public leaderboard update for general-intelligence benchmarks beyond current tests.
- Aran Komatsuzaki, @omarsar0, and other researchers highlighted the week's most important papers.
- Hugging Face open-sourced its post-training internship take-home challenge so anyone can try the exact test ML interns face (GitHub, @cmpatino_).
- AI galaxy hunters are adding to the global GPU crunch as astronomers turn to GPUs to find needles in the galactic haystack.
- Another SyntheMol-RL-style AI tool (Inside Precision Medicine) details the same designer-antibiotics workflow.
🏛️ AI Policy, Governance & Safety
- Congressman Blake Moore introduced the AI Children's Toy Safety Act to ban manufacture, importation, sale, or distribution of any children's toy or childcare article containing an AI chatbot over privacy, addiction, and explicit-content risks (HN).
- The Guardian editorial asked who controls the internet when Anthropic's Claude Mythos can autonomously find every zero-day flaw.
- flyingpenguin argued Anthropic's 244-page Mythos system card devotes just seven pages to its flagship "thousands of zero-days" claim and offers circular self-citation instead of independent verification.
- The New Yorker argued AI must be removed from K-12 schools entirely to avoid cognitive atrophy.
- USA Today opinion said they feel safer in a Waymo than an Uber even after Waymo blocked traffic downtown on Nashville launch day.
- Delve (troubled compliance startup) was the firm that certified Context AI, the agent-training startup that disclosed a major security incident last week.
- The Information reported new security breaches at Anthropic and OpenAI (Mythos unauthorized access, plus OpenAI accidentally shipping unreleased models on Codex) proved Mark Zuckerberg right on open-source.
- Ars Technica published its newsroom AI policy detailing exactly how and when the outlet uses generative AI.
- A trending discussion on X exposed a Chrome extension claiming to "humanize emails with Anthropic API" that quietly sends user email text and API keys to the developer's servers despite privacy claims.
- Mother Jones reported on the new wave of Silicon Valley-backed (Thiel, Altman, Armstrong, Andreessen) gene-editing startups creating "baby geniuses" as a hedge against the AI threat.
- George Hotz (geohot) argued you shouldn't want the US to "win" AI because capabilities should stay diffuse and open (HN).
- The Guardian columnist Alexander Hurst argued to be human is to live with friction, something AI boosters will never understand.
- WIRED reported Stanford students lined up at "AI Coachella" to learn from Silicon Valley royalty including Ben Horowitz.
- Kling AI launched 4K Mode in its Video 3.0 series: one-click 4K video generation with sharper visuals, richer details, cinematic quality, and strong consistency across subjects, text, style, and lighting (built for big screens and high-end production); @nasqret said the new text and lighting consistency finally makes AI video usable for pro marketing and film pre-vis.
- A San Francisco store is now owned and operated entirely by AI (KRON4).
- Tubi is the first streamer with a native ChatGPT app as referenced in yesterday's digest. (Context only; no new link today.)
- Figure Robot posted new humanoid demos.
- Spark the magic clown dog is a pure friendship-powered AI web app that exists solely as "MAGIC! DOG! APP! SPARK LINGONBERRY!" (@NTFabiano).
- The WSJ profiled billionaire math geek Alex Gerko whose XTX Markets uses Nvidia chips and deep learning to forecast price moves and turn AI into a money-printing machine.
📊 Fundraising & Deals Roundup
- Anthropic: $1 trillion valuation on secondary markets (covered in Top 5).
- Orkes: $60M for reliable AI workloads and agentic system scaling.
- Era: $11M to build a software platform for AI gadgets (glasses, rings, pendants).
🎙️ Interviews, Panels & Podcasts
- Dylan Patel (SemiAnalysis) sat down with Patrick O'Shaughnessy on Invest Like the Best to talk token supply and demand; the whole interview is a running argument for why ideas are now cheap and execution easy, and why that upends the economy:
- SemiAnalysis' AI spend went from ~$5M to $7M/year in weeks; that's over 25% of their ~$25M salary spend going to Claude Code alone, and on current trajectory will exceed 100% of salary by year-end.
- Reverse-engineering lab case study: one person plus ~$2K in Claude tokens built a GPU-accelerated chip analysis app that was previously a whole team's job at Intel; bank economist "Malcolm" built a phantom GDP model (output up, cost collapses, measured GDP shrinks) solo that would have taken a 200-person team a year.
- Anthropic went from L4 engineer (Opus 4.6) to L6 engineer (Mythos) in two months; Mythos is more expensive per token but uses fewer tokens per task, so it's cheaper in practice than Opus 4.6.
- Three-part rule or you stay in the permanent underclass: (1) use more tokens, (2) generate outsized value from them, (3) capture that value; working one hour a day while AI does the other seven is the lazy way, doing 8x the work is the real play.
- Compute bottleneck is structural: H100 prices are going up (not down), useful life is extending to 7-8 years, DRAM could double or triple from here, TSMC could spend $100B capex in 2028, and CPUs are completely sold out because RL environments run on CPUs, not GPUs.
- Get an enterprise Anthropic contract over a subscription; pay per token, get the rate-limit increases, stop getting throttled on Opus 4.7/Mythos access, or watch competitors with enterprise access crush you.
- Patel's 3-month prediction: large-scale protests against Anthropic and OpenAI; AI polls less popular than ICE or politicians; his fix is Sam and Dario should stop doing interviews ("they just have no charisma"), stop talking about changing the world, and show uplifting present-day uses instead.
- Marc Andreessen launched Monitoring the Situation (MTS), a new a16z podcast on media theory with Erik Torenberg and Theo Jaffee; the debut episode is a unified theory of how the internet reinvented the outrage cycle:
- CNN's original business plan was "randemonium" (per founder Reese Schonfeld): lock onto the current thing, cover it continuously, put whatever you get on screen; 1991 Gulf War was the breakthrough, and the internet reinvented it as the current thing.
- McLuhan's rule ported to 2026: "if it's on TV, it's a television show; if it's on the internet, it's a viral social media meme" that becomes a moral panic; each outrage cycle is ~2.5 days with half-life decay before being completely forgotten a week later.
- Political violence is at an all-time low in Western society because virtual rhetorical combat absorbs energy that once became street violence; "social media wars up, physical violence down."
- Past was NOT peaceful: men in serious positions of power literally dueled; Ben Franklin ran ~15 sock-puppet alts in his own Philadelphia newspaper to fake arguments; 1800 Jefferson-Adams slander was beyond anything on X today.
- The "suppressed volatility" era ~1970-2014 was an artifact of overcentralized media (three networks, one paper per city); the natural state of the world is fragmented and heated.
- Orwell's atrocity rule for propaganda: truth or falsehood of the atrocity is irrelevant to its political value; outrage scales with personalization, not magnitude.
- Timur Kuran's "availability entrepreneurs": Rosa Parks started as a trained activist (an op) but became a real movement; dark money in AI doomerism is legal because paying influencers to take moral positions (no product, no candidate) requires zero disclosure.
- Media is now a barbell: short-form video on one end, three-hour-plus podcasts on the other (Lex recently went 10 hours with Biology) with high completion rates; first true internet election hasn't happened yet, Andreessen predicts 2032.
- Sam Altman and Greg Brockman did their first joint podcast with Ashlee Vance and Kylie Robison on Core Memory, a wide-ranging 80-minute conversation on product strategy, safety, the Elon trial, and Sam's worst week:
- Greg recently took the product lead; OpenAI consolidated around three priorities: (1) unified agent platform, (2) computer work ("Codex for everyone," coming in weeks), (3) personal AGI that knows your full context.
- Why Sora got cut: different branch of the tech tree, not unified with the core GPT series or the agentic suite; the underlying model tech will live on elsewhere.
- Anthropic passed OpenAI on messy-repo real-world coding; Sam credits Anthropic's earlier focus on real codebases, says Codex is now ahead head-to-head on many vectors after OpenAI caught up.
- Three futures Sam sees: (a) floor rises ~10x but you get 10 trillionaires and worse inequality; (b) lower overall prosperity, lower inequality; (c) universal compute access = real American dream; Sam wants (a) + (c) combined, not a choice between them.
- On Mythos and "fear-based marketing": Sam says "we have built a bomb, we will sell you a bomb shelter for $100M" framing is effective marketing for keeping AI in few hands; OpenAI has had cyber in its Preparedness Framework for a long time and prefers trusted-access programs with explicit mitigations.
- America's hardware problem: Sam agrees US is "extraordinarily disadvantaged" on robotics, components, and manufacturing; only credible plan to catch up is general-purpose robots (a "Codex for robots"), without which "the current trajectory looks terrible."
- The Elon trial: Greg says the breaking point was Elon demanding absolute control over OpenAI (even with a plan to dilute down later); Sam wants the trial to happen so OpenAI can tell its side, and fears Elon drops the case pre-trial.
- Sam's worst week: after the Molotov attack on his home, he had a "real depressive cycle" but kept working that day; Greg called Sam's resilience "extreme, and I think very underappreciated."
- swyx argued you can realistically accomplish in one year what used to take a decade, walking through his personal experiments on compounding AI leverage.
- clairevo published a full GPT-5.5 review after weeks of early access, throwing three real senior-engineer jobs (complex debug, architectural redesign, long-horizon research) at the model.
- Clement Delangue said GPT-5.5's agentic reliability feels like the moment the model finally gets real work, not just tasks.
- Ethan Mollick called GPT-5.5 a sign of the future on the capability curve.
- OpenAI's GPT-5.5 System Card PDF is live with full safety evals and deployment decisions.
- Frontier observers' reactions to GPT-5.5: @sama on launch, @sama on benchmarks, @sama on Ramsey proof, @sama on coding, @sama on efficiency, @sama on Pro, @sama on safety, @sama on Cyber, @danshipper on conceptual clarity, @danshipper on first impressions, @danshipper on rewrite, @mattshumer_ take, @mattshumer_ follow-up, @eladgil, @skirano take, @skirano on merging, @skirano on pro, @skirano context 1, @skirano context 2, @omarsar0 overview, @omarsar0 followup, @omarsar0 roundup, @TheAhmadOsman, @andonlabs, @Yuchenj_UW, @badlogicgames, @levelsio, @firstadopter, @kplikethebird, @OpenAIDevs, @DeryaTR_, @petergostev, @thsottiaux, @polynoamial 1, @polynoamial 2, @scaling01 1, @scaling01 2, @scaling01 3, @SebastienBubeck, @AndrewCurran_, @signulll, @pvncher, @aidan_mclau, @wightmanr, @pupposandro, @Dimillian, @JefferyXu4, @willccbb, @leftcurvedev_, @OpenAI launch post, @Xbow, @theo, @teddy_riker, @adaption_ai, @sudip_r0y, @MillionInt, @gabriel1, @alightinastorm, @stephenhaney, @alexdanilowicz, @OnlyTerp, @Clad3815, @michellearning, @NaderLikeLadder, @AlexanderKalian, @RhodaAI, @shreypandya, @AntonioSitongLi, @FirstSquawk, @levie, @MilksandMatcha, @googlegemma 1, @googlegemma 2, @aakashgupta, @Ex0byt, @TencentHunyuan, @kevinafischer, @jenzhuscott, @claudeai on connectors, @amir on Spotify, Stitch on DESIGN.md 1, Stitch on DESIGN.md 2, @DXTipsHQ profile, @MicahCarroll, @swyx follow-up, @DataChaz, @scaling01 on agentic reliability, @EMostaque on video plus coding convergence, @nicochristie on shipping real hardware control, @tengyuma, @gokulr, @badlogicgames follow-up.
- TSMC unveiled its process technology roadmap through 2029: A12 (1.2nm) and A13 (1.3nm) nodes, an N2U extension, A16 slipping to 2027, no High-NA EUV, and a bifurcated client vs. AI/HPC strategy.
- India's app market is booming but global platforms are capturing most of the gains, TechCrunch reported.
Previous Around the Horn Digests
Catch up on everything you missed:
- Wednesday, April 22, 2026: Google and OpenAI both shipped full agentic enterprise stacks on the same day, Anthropic tested yanking Claude Code from Pro and walked it back in hours, Meta rolled out keystroke tracking on employee laptops, and a Sony robot beat elite humans at table tennis for the first time under official rules.
- Monday, April 20, 2026: Amazon doubled its Anthropic bet with up to $25 billion more, the NSA quietly started using Anthropic's most dangerous internal model despite a Pentagon ban, Google DeepMind spun up a "Strike Team" to catch Claude Code, OpenAI shipped screen-reading memory for Codex, and a Lovable breach exposed every project built before November 2025.
- Weekend, April 17-19, 2026: Anthropic shipped Claude Design (the Figma competitor everyone saw coming), three senior OpenAI execs announced they're leaving pre-IPO, Claude Opus 4.7 wrote a working Chrome exploit for $2,283, and a fake Claude site started installing malware while everyone was watching the product launches.
- Thursday, April 16, 2026: Anthropic shipped Claude Opus 4.7 and OpenAI countered with a full Codex overhaul, Factory raised $150M from Khosla for autonomous coding agents, OpenAI launched its first life-sciences model, and Canva rebranded as "an AI platform with design tools."
- Wednesday, April 15, 2026: OpenAI's $852B valuation faced backer scrutiny while VCs offered Anthropic up to $800B, Allbirds pivoted from sneakers to AI compute and the stock popped 600%, Apple sent Siri devs back to coding bootcamp, Tubi became the first streamer with a native ChatGPT app, and a federal court ruled your AI chats have no attorney-client privilege.
- Tuesday, April 14, 2026: Sam Altman's San Francisco home was attacked twice in three days as the FBI moved toward a domestic terrorism designation, Maine became the first state to ban large data centers, Anthropic shipped Claude Code Routines, and Nvidia Blackwell GPU rental prices jumped 48% in two months.
- Monday, April 13, 2026: Stanford's 2026 AI Index quantified the canyon between AI insiders and the public, Anthropic's Mythos triggered a Fed-led bank summit, Berkeley researchers broke every major agent benchmark, Microsoft started building its own OpenClaw, and an AI named Luna signed a 3-year retail lease in San Francisco.
That's a Wrap
That's 150+ stories from one Thursday. If you made it all the way to the bottom, you now understand why an NVIDIA engineer told OpenAI that losing GPT-5.5 would feel like having a limb amputated. Condolences to his future arm when GPT-5.6 ships in two weeks.
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