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So this is what I dreamed about last night. Dream Layer checked the overnight table and found no useful new dream to force into the brief.

I found a few things worth actually paying attention to. The first one is Apple WWDC: A Useful Contrast. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup. The second one is Goldman and JPMorgan Explore Compute Futures. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

First up: Apple WWDC: A Useful Contrast. **Apple WWDC: A Useful Contrast** _Siri finally does the things it promised to do in 2024._ The same day OpenAI declared a new era of agentic AI, Apple held WWDC and announced that Siri is finally getting the capabilities it promised two years ago — summarizing messages, adding calendar events, searching the web. For the AI-native crowd, it felt like watching someone proudly unveil indoor plumbing in 2026. Mark Gurman called it "the right move" — a credible foundation for the next wave of Apple hardware. IDC analyst Francisco Jeronimo framed it well: "Apple does not need to win AI by having the biggest model or the loudest demo. It needs to make AI trusted, useful, and invisible across the ecosystem." The Verge noted Apple is still settling a class action lawsuit over Apple Intelligence features it never shipped from the last Siri reboot. The Verge [Here comes new Siri again](https://www.theverge.com/tech/944245/apple-wwdc-2026-ai-siri-gemini) Bloomberg [Apple Investors Give Lukewarm Reaction to New Siri, AI Platform](https://www.bloomberg.com/news/articles/2026-06-08/apple-unveils-next-generation-of-ai-platform-including-new-siri) TechCrunch [Apple's long-awaited AI Siri overhaul This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

Next: Goldman and JPMorgan Explore Compute Futures. ## Goldman and JPMorgan Explore Compute Futures Goldman Sachs and JP Morgan are exploring compute futures as a hedge against their data center exposure. The instruments, expected to launch later this year, would let traders bet on the future price of GPU rentals much like oil or wheat futures. For clients already heavily invested in the data center buildout, there's currently no direct way to hedge that risk — so this isn't just another speculative vehicle. Compute is already a hundred-billion-dollar market, and tokens have become a core part of corporate financial planning. The Information [Goldman, JPMorgan Explore Trading Compute Futures as AI Financing Hedge](https://www.theinformation.com/articles/goldman-jpmorgan-explore-new-ways-tame-ai-lending-risks) This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

Also worth your radar: Is Consumer AI a Separate Product Category Now?. **Is Consumer AI a Separate Product Category Now?** _"Siri isn't going to refactor your COBOL codebase. But it can probably order a burrito."_ Michal Malewicz published a post titled "Apple just killed paying for AI," arguing that free Siri will undercut ChatGPT for everyday consumer use cases. The point is well taken — but it misreads which race Apple is actually in. The AI battle that actually matters now looks a lot more like Office vs. G Suite than iPhone vs. Android. It's a B2B SaaS war, the highest-stakes one we've ever seen, and it's essentially invisible to the average person. Siri makes total sense for Apple precisely because their incentives are entirely different — they can offer it at a loss as long as it moves iPhones. The real question is whether we've hit the point where consumer AI and work AI are not just different products but fundamentally different categories — and maybe it's time to start treating them that way. Michal Malewicz (X) [Apple just killed paying for AI](https://x.com/michalmalewicz/status/2064049119748882860) NLW (X) [AI is normal consumer technology and extremely abnormal work technology](https://x.com/nlw/status/2055060526644760729) —————————————— This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

Another useful signal: Listen to the episode. [▶ Listen to the episode](https://link.mail.beehiiv.com/v1/c/GRchouVvEn%2B4f3XZCSq%2FEEh6U2a4haAKdBHaKPINFIVQJ4aF66yzqnhMT%2FQx%0A%2FZ14hf%2Fe2frvXb1AOK0rrLJI2%2BIkCOsKUpbniWdZdMg96htsaFI0YMHLyNph%0ATsBPi5CL7TSRlf%2Fndoct11HM8JgxTKU7RI%2BL5VRsdmFS%2FuabhLDf9hdHn7Nu%0A9q4OdxR%2F7eD4DeYtkmiLr0F%2BdZhq51su3w%3D%3D%0A/fa44ad623019ece9) HEADLINES This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: The "Do They Have It?" Theory. **The "Do They Have It?" Theory** _Co-authored by Sam and Jakub. The Codex team posted about loops all weekend._ The most speculative read is that the timing is a signal — not just for the IPO, but that something has happened internally. The post was co-authored by Jakub Pachocki, who leads efforts to automate AI R&D. The Codex team spent the weekend posting about loops, and Altman posted about "recursive loops." Prinz on X laid out the conspiracy theory: "Do they have it?" — meaning some version of recursive self-improvement. The sober counterpoint is probably no, but a significantly more capable model is very plausible. Prinz (X) [The "do they have it?" theory on recursive self-improvement](https://x.com/deredleritt3r/status/2064108565321716076) This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: The Power Distribution Question. **The Power Distribution Question** _"Concentration of power seems to be the central political economy question of AGI."_ For others, the emotional core of the piece was its emphasis on broadly distributing AI's benefits and explicitly opposing concentrated control. Given the concurrent rise of sovereign wealth fund proposals, Bernie Sanders' AI equity tax, and a general crescendo in debates about who captures AI's upside, this framing landed differently than it might have six months ago. Teng Yan (X) [Thread summarizing OpenAI's three Phase 3 goals](https://x.com/tengyanAI/status/2064191650050773261) Andy Hall (X) [Power concentration is the central AGI question](https://x.com/ahall_research/status/2064097769338630220) Chubby (X) [On whether the Phase 3 declaration signals final steps toward AGI](https://x.com/kimmonismus/status/2064100504398135442) This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: What the Piece Actually Says. **What the Piece Actually Says** _Phase 3 is about making advanced AI "abundant, affordable, safe, and useful for everyone."_ OpenAI frames their three phases as: pure AGI research, becoming a product company, and now — making frontier capability accessible at scale. Their three stated goals are building an automated AI researcher by March 2028, accelerating the economy while broadly sharing the gains, and giving every person on Earth a personal AGI. The post also notably backs away from the full knowledge-worker replacement narrative, writing that "entirely automating everything is not the future we want" and that "as AI systems become more capable, the human role becomes more important." This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Anthropic’s Fable 5 guardrails blocked researchers. * 🙀 Anthropic’s Fable 5 guardrails blocked researchers. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: God models won’t eat everything. * [God models won’t eat everything](https://x.com/a16z/status/2064434304130875596) (Marc Andreessen) — Andreessen argues giant frontier models will sit behind the scenes for hard jobs while cheap, specialized models handle most daily work. * [2026 as the optimal founder window](https://x.com/fin465/status/2064388327592058994) (Finn Mallery) — Mallery argues one-person companies can now ship apps, design assets, repurpose content, run support, analyze users, and find leads with tools that used to require a team. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: In Claude, select Fable 5 where available. * In Claude, select Fable 5 where available. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: New small Cohere coding model, Gemini 3.5 live translate, & more. * 🍪 New small Cohere coding model, Gemini 3.5 live translate, & more. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Reflecting on a year of Claude Code. * [Reflecting on a year of Claude Code](https://www.youtube.com/watch?v=Hth_tLaC2j8) covers how Claude Code grew from an internal terminal agent into a widely used coding tool. View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/8fcaf1c4-3238-439a-bc66-57f7c4a27e05/image.png?t=1777315698) Caption: # A Cat’s Commentary View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/f19aaeea-a0ac-415b-8135-ed003a36789f/A_Cat_s_Commentary_x_2025__31_.png?t=1781066051) Caption: View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/cb85188d-9e8c-4d8f-9a61-4106067d3400/image.png?t=1777315630) Caption: View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/a91e1dde-2674-4f02-9770-8dc0e804d697/image.png?t=1764643057) Caption: That’s all for now. **P.S: **Before you go… have you [subscribed to our YouTube Channel](https://www.youtube.com/@theneuronai?sub_confirmation=1)? If not, can you? **P.P.S:** Love the newsl This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: What it feels like to work with Mythos. * [What it feels like to work with Mythos](https://www.oneusefulthing.org/p/what-it-feels-like-to-work-with-mythos) (Ethan Mollick) — Mollick says Mythos/Fable feels less like chatting with an assistant and more like commissioning a small studio to work through big projects while you wait. * Check out some demos he made like [Flipside](https://play-flipside.netlify.app/) and the [Isochronic Passage Chart](https://isochronic-passage-chart.netlify.app/#syd). * [Loop engineering](https://x.com/addyosmani/status/2064127981161959567) (Addy Osmani) — Osmani argues the next agent skill is designing repeatable loops with context, checks, feedback, and stop conditions, not writing one magic prompt. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Adjust agent behavior in production on the fly. * Adjust agent behavior in production on the fly. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: AI helps pull and analyze satellite imagery for monitoring, diagnose plant diseases, and create an Airtable hub for records, pesticide logs, and feeds. * AI helps pull and analyze satellite imagery for monitoring, diagnose plant diseases, and create an Airtable hub for records, pesticide logs, and feeds. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Anthropic hands the public Mythos-class AI. * Anthropic hands the public Mythos-class AI This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Apply production-ready patterns to your own agentic systems. * Apply production-ready patterns to your own agentic systems _[Register now](https://cloudonair.withgoogle.com/events/startup-school-ai-q2-2026?utm_source=gfs&utm_medium=newsletter&utm_campaign=FY26-Q2-GLOBAL-GCP40434-onlineevent-er-Q2StartupSchool-180015&utm_content=rundown2)_ to catch up and join the rest of the live training series. ---------- ---------- ###### PERPLEXITY & AI RESEARCH #### 📊_** **_[_**Perplexity data maps the agent work shift **_](https://research.perplexity.ai/articles/how-ai-agents-reshape-knowledge-work) View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/1caa0702-5b70-42d6-8f96-c7ea8c3ea234/perplexitystudy.jpg?t=1781043157) Caption: Image source: Perplexity **The Rundown: **Perplexity and Harvard Business School [published](https://research.perplexity.ai/articles/how-ai-agents-reshape-knowledge-work) a study on how AI agents change knowledge work, comparing the company's Computer platform against Search to measure outputs, time saved, and task complexity between the two paths. **The details:** This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Codex also helped build a greenhouse control system to raise and lower vents via text and set up a bot for the farm group chat to help manage operations. * Codex also helped build a greenhouse control system to raise and lower vents via text and set up a bot for the farm group chat to help manage operations. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Codex helps automate a Japanese broccoli farm. * Codex helps automate a Japanese broccoli farm * 4 new AI tools, community workflows, and more ---------- ---------- This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Deploy agents that handle failure themselves. * Deploy agents that handle failure themselves. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Fable hits new highs across major benchmarks, showing massive gains over Opus 4.8 and GPT 5.5 on coding, reasoning, knowledge work, and more. * Fable hits new highs across major benchmarks, showing massive gains over Opus 4.8 and GPT 5.5 on coding, reasoning, knowledge work, and more. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Google’s Agentic AI Startup School is officially live. 📚 [Google’s Agentic AI Startup School is officially live](https://link.mail.beehiiv.com/ss/c/u001.a3gBHu6_kDRL6l3yEfNWAc913mPMyQPxPYpqLGZnlYtOdlLGMPvIhAxl2wxGxbfDJ27z9gN_7_VHglikkTreqAsV3i-zhQlU6rQy4xEPs6GFU4_FDJwRMp__KJvLiLtmesjKMqxhagBZXLOoXXjGtQxwYQi6Ll3r3TFGVHbm_AuFU2YmbHsVkIjdubUetEKY0fq99Zs7sNwL9DP0zmaNAOB-c7juB4Hx2Abo5WEP0w2CM5T0GmTVr33OYgiOK5gf2z0J1vg_lBzpdKZCr-0GBpWGCtTbMFv0qW4DY_u7-gBdzX2ReZwVNUPDThYM0SVHlnmMFbw1YsZEaNCYCZi8Gg/4rd/06KO0jBHQ3e1osXZYGAKLA/h10/h001.8AXzscpA1J2CDW3EPOzl-2lY74gcro_9Gbm1AtYsZR8) https://link.mail.beehiiv.com/ss/c/u001.a3gBHu6_kDRL6l3yEfNWAc913mPMyQPxPYpqLGZnlYtOdlLGMPvIhAxl2wxGxbfDJ27z9gN_7_VHglikkTreqAsV3i-zhQlU6rQy4xEPs6GFU4_FDJwRMp__KJvLiLtmesjKMqxhagBZXLOoXXjGtQxwYQi6Ll3r3TFGVHbm_AuFU2YmbHsVkIjdubUetEKY0fq99Zs7sNwL9DP0zmaNAOB-c7juB4Hx2Abo5WEP0w2CM5T0GmTVr33OYgiOK5gf2z0J1vg_lBzpdKZCr-0GBv3RwOnnfIFJxMxI6pI_xMMWv38d4Xwqu2f3LFdaJU9K1KE4aNYl8iXsECo7FERr9g/4rd/06KO0jBHQ3e1osXZYGAKLA/h11/h001.1FKHQJmTKhLeGDeXWZCDvJ4548lfyHM4Jo9yH8XSLqQ The Rundown: Google for Startups' immersive training program kicked off yesterday, but there is still time to jump in. Join founders and developers learning how to move beyond basic chatbots to build robust, produc This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Half of what users asked the agent to do involved creating something new, 2x the Search rate, and work outside a user's field climbed nine points to 59%. * Half of what users asked the agent to do involved creating something new, 2x the Search rate, and work outside a user's field climbed nine points to 59%. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Implement Gemini Live voice AI, Multimodal RAG, and bidirectional Vision Agents. * Implement Gemini Live voice AI, Multimodal RAG, and bidirectional Vision Agents This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Mythos 5 releases to Anthropic’s Project Glasswing partners, providing less restrictive use on cybersecurity at lower costs than Mythos Preview. * Mythos 5 releases to Anthropic’s Project Glasswing partners, providing less restrictive use on cybersecurity at lower costs than Mythos Preview. * Fable is available in all Claude subscription tiers until June 22, then it will flip to separate usage credits priced at $10 / M input and $50 / M output tokens. **Why it matters: **Every lab calls its latest release "the best model in the world"… What's rare is the rest of the AI world actually seeming to agree. Fable/Mythos lived up to the hype on benchmarks, but the question now turns to broader cost and access, with lots of content restrictions and June 22 looming as the cutoff before the credit pain kicks in. ---------- ---------- This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Researchers compared 10k identical queries sent to both products, with Computer working 26 minutes on average compared to Search’s 33 seconds. * Researchers compared 10k identical queries sent to both products, with Computer working 26 minutes on average compared to Search’s 33 seconds. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Search is initially quicker, but leaves ‘doing’ to the user, with Perplexity estimating the same Search workflow taking 269 minutes vs. Computer’s 36. * Search is initially quicker, but leaves ‘doing’ to the user, with Perplexity estimating the same Search workflow taking 269 minutes vs. Computer’s 36. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Take an agent from prototype in Google AI Studio to deployment on Google Cloud. * Take an agent from prototype in Google AI Studio to deployment on Google Cloud This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Tomiyasu compared AI to an always-available engineer, lowering the barrier to automation for farm operators without big tech teams. * Tomiyasu compared AI to an always-available engineer, lowering the barrier to automation for farm operators without big tech teams. **Why it matters: **This profile is "you can just build things" on steroids — a self-taught farmer operating like he has an engineering department for the price of a ChatGPT sub. It’s also a great example of what the selfware era looks like: instead of waiting for an ag-tech company to fix problems, Tomiyasu just builds the needed tools himself with AI. ---------- ---------- This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Tomiyasu manages roughly 100 hectares in Hokkaido, growing soybeans, green onions, pumpkins, and broccoli after learning farming on the job. * Tomiyasu manages roughly 100 hectares in Hokkaido, growing soybeans, green onions, pumpkins, and broccoli after learning farming on the job. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Try AgentControl for free today. _[Try AgentControl for free today](https://launchdarkly.com/platform/agent-control/?utm_source=rundownai&utm_medium=newsletter&utm_campaign=brandrepo&utm_term=secondary&utm_content=agent-control)_. ---------- ---------- ###### AI IN THE REAL WORLD #### 🚜 **[_Codex helps automate a Japanese farm_](https://chatgptpro.substack.com/p/hiroki-tomiyasu)** View image: (https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/2e4bd86a-1d0a-48c0-9b64-c5074a0877e2/broccoli.jpg?t=1781033080) Caption: Image source: OpenAI / Hiroki Tomiyasu **The Rundown: **OpenAI [published](https://chatgptpro.substack.com/p/hiroki-tomiyasu) a profile of Hiroki Tomiyasu, a self-taught broccoli farmer in Hokkaido who uses ChatGPT and Codex to build greenhouse automation, satellite crop tracking, and custom farm software to help run his operations. **The details: ** This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Users also asked Computer for harder work, creating docs, code, and visuals, more often across several fields instead of simple lookups on Search. * Users also asked Computer for harder work, creating docs, code, and visuals, more often across several fields instead of simple lookups on Search. **Why it matters: **The giant speedup numbers are useful, but more interesting is what people asked for via the agentic route. Perplexity Computer users were more likely to request cognitively complex, creative outputs and pull across multiple fields, showing a subtle draw of AI agents may be users acting with more ambition, not just efficiency. ---------- ---------- This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: AI is eating the AI Engineering Loop (5 minute read). [AI is eating the AI Engineering Loop (5 minute read)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FkUaAcU/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/P1JtDnE8YxZA4VBW7iGGawYE_7iuw8Dy0gZa8JrtlOw=452) The AI engineering loop can technically be fully automated now, with every analytics and evals startup undergoing a one-time upgrade into a continual-learning platform, but handing over the whole loop produces agent slop because agents optimize against imperfect evals that miss the nuance only the developer holds. 🧑‍💻 Engineering & Research This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Can tech companies learn to love cheaper AI models? (4 minute read). [Can tech companies learn to love cheaper AI models? (4 minute read)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftechcrunch.com%2F2026%2F06%2F09%2Fcan-tech-companies-learn-to-love-cheaper-models%2F%3Futm_source=tldrai/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/Yi6Gzdc5G4InJHUwA3r43y2_tUsLPFgW3bpNFkMyYZ8=452) Cheaper models can often replace frontier models for many tasks without any sacrifice in quality if the systems are arranged correctly. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Claude Fable 5 and new AI safety fables (14 minute read). [Claude Fable 5 and new AI safety fables (14 minute read)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.interconnects.ai%2Fp%2Fclaude-fable-5-and-new-ai-safety%3Futm_source=tldrai/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/dAGr60r9YFDAoubC1Wfpa91kVtnambR_R95P8NpdWIo=452) Anthropic's release of Claude Fable 5 came with the rollout of a series of safety measures, some of which modify the model without telling the user to protect the lab's current lead. Unevenly applied safety policies like this rarely work out. While Anthropic is well within its rights to implement these safeguards, its actions cultivate an 'us against them' dynamic within the AI ecosystem. These actions highlight the need for intelligence that users can trust, modify, and control. ⚡ Quick Links This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Claude Fable 5 Launch (6 minute read). [Claude Fable 5 Launch (6 minute read)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.anthropic.com%2Fnews%2Fclaude-fable-5-mythos-5%3Futm_source=tldrai/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/gFMIZH566JqlN8dm4WXI6Wsdle8IMtzO2bjb21dJ_2A=452) Anthropic announced Claude Fable 5 for general use and Claude Mythos 5 for selected cyberdefenders and infrastructure providers. The models were described as highly capable across software engineering, research, vision, and cybersecurity, with conservative safeguards applied to Fable 5. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Cohere Launched an Agentic Coding Model (4 minute read). [Cohere Launched an Agentic Coding Model (4 minute read)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fcohere.com%2Fblog%2Fnorth-mini-code%3Futm_source=tldrai/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/rFbwQJTEKxIw-cVpure-TlEepTTZYsGooesYsULjhO0=452) North Mini Code is a 30B-parameter MoE coding model with 3B active parameters. The Apache 2.0 release targets efficient agentic software development in sovereign AI environments. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: FlashMemory DeepSeek-V4 Retriever (GitHub Repo). [FlashMemory DeepSeek-V4 Retriever (GitHub Repo)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Flibertywing%2FFlashMemory-Deepseek-V4%3Futm_source=tldrai/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/jP-sqhhATpaprhW7UngFEfH6zMoAodmftGaAvdPX3s4=452) FlashMemory predicts which DeepSeek-V4 CSA KV-cache chunks future tokens will attend to, keeping only the most relevant chunks on GPU. The retriever reportedly preserves or improves downstream performance while retaining about 10–15% of the KV cache on-device. 🎁 Miscellaneous This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Fluid, natural voice translation with Gemini 3.5 Live Translate (4 minute read). [Fluid, natural voice translation with Gemini 3.5 Live Translate (4 minute read)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.google%2Finnovation-and-ai%2Fmodels-and-research%2Fgemini-models%2Fgemini-live-3-5-translate%2F%3Futm_source=tldrai/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/1UibHTKGwQOtsHsWdK_UElF4MS8Rm-y750Ve5rd5Y68=452) Gemini 3.5 Live Translate is an audio model for real-time speech-to-speech translation across 70+ languages that eliminates awkward pauses and maintains natural intonation. It is rolling out via Google products, including Meet for private preview and Google Translate on Android and iOS, enhancing multilingual communication. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: How to price for AI agents. * How to price for AI agents This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: If Claude Fable stops helping you, you'll never know (3 minute read). [If Claude Fable stops helping you, you'll never know (3 minute read)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjonready.com%2Fblog%2Fposts%2Fclaude-fable5-is-allowed-to-sabotage-your-app-if-youre-a-competitor.html%3Futm_source=tldrai/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/S2Hfq29E0RRWHxIqnVLcsnB4BDZRy_6sWTlc3Av8Q8Q=452) Anthropic has limited new interventions that limit Claude's effectiveness in certain situations, including when competing labs use Claude to develop models. Unlike other interventions, these safeguards will not be visible to users and Fable 5 will not fall back to a different model. Instead, they will limit effectiveness through prompt modification, steering factors, and parameter-efficient fine-tuning. While Anthropic claims that these safeguards will only affect 0.03% of developers, it could create a real supply chain risk for businesses as they have no idea if they are running into them, making the company's tools less trustworthy. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Implications of Large-Scale Test-Time Compute (5 minute read). [Implications of Large-Scale Test-Time Compute (5 minute read)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FysXgLU/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/tXrY1DRbhPyy9aQYb3RAcFwzu_boU0SWTbgC4tFiIGk=452) Benchmark grids hide the real story because LLM capability is now a function of test-time compute, illustrated by GPT-5.5 looking only marginally better than GPT-5.4 on max-compute cyber evals but substantially stronger once tokens, cost, or latency are controlled on the x-axis. The performance plateau is now empirically very far out and stronger models push the plateau further, so single-scalar benchmark scores will only get less informative each release. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Metering across deployment models. * Metering across deployment models This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Pricing as an ongoing experiment,. [Pricing as an ongoing experiment,](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetronome.com%2Fwebinars%2Fwebinar-the-new-monetization-playbook-for-data-infrastructure%3Futm_source=tldr-ai%26utm_medium=newsletter%26utm_campaign=q2-webinar%26utm_content=Body_pricing_as_ongoing_experiment/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/QcrS2mfY_lRlwBjVbjJ925dU1U7mR-ogW3WvN5RQoL4=452) not a one-off project It's time to redesign your billing engine for continuous iteration. [Save your spot to see how](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetronome.com%2Fwebinars%2Fwebinar-the-new-monetization-playbook-for-data-infrastructure%3Futm_source=tldr-ai%26utm_medium=newsletter%26utm_campaign=q2-webinar%26utm_content=cta_save_spot_how/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/xs8WCAcOgdZ4Mdvc5FlhtdVA-boP0az5H8WzXK_xWmU=452) 🚀 This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Self-Evolving Autoresearch Workflow Loops (5 minute read). [Self-Evolving Autoresearch Workflow Loops (5 minute read)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FvtU51F/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/Y4NBlkRJeH6U3E7A08VG0LDcvOZ63THt1Oza0uzBpQo=452) Evo ported its autoresearch orchestrator onto Anthropic's June 2 dynamic workflows in Claude Code, moving the six-step round off the model's in-context memory and into deterministic JavaScript that subagents execute with fresh scoped context. The shift solves long-horizon instruction adherence by making the method the code: phases, fan-out width, stopping rules, gates, and CLI calls are scripted. The model does judgment, and the code does coordination. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

One more thing: Text as a Serious Optimization Layer (8 minute read). [Text as a Serious Optimization Layer (8 minute read)](https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fyoonholee.com%2Fblog%2F2026%2Fwe-should-take-text-optimization-more-seriously%2F%3Futm_source=tldrai/1/0100019eb1c2d92b-b65a4392-492a-44f5-b3de-d949e86aa441-000000/Jx4wBbJcEuf3bWSZ7-cb3OQ0dnVh2QN9Glg_AEmJJ4o=452) Prompts, context, memory, retrieval stores, and harnesses function as real update mechanisms. The piece frames text optimization as sample-efficient learning and a new axis for update-time compute. This is from Marty's Daily source stack and survived the hard topic filters and sponsor/junk cleanup.

Also, a few smaller things came up: Robert Munsch’s Potty Picture Book Gets a Fresh Update; ALA 2026: Leaning into Access: PW Talks with April Dawkins; USBS 2026: Audiobooks and Accessibility for Young Readers Take Center Stage; ALSC and YALSA Progress in Realignment as a Single Division; New Friends, Adventures, Formats for Mo Willems’s Elephant & Piggie. We can go deeper on any of those while you drive.

A smaller signal: Robert Munsch’s Potty Picture Book Gets a Fresh Update. Robert Munsch’s Potty Picture Book Gets a Fresh Update Jun 09, 2026 Loading the Elevenlabs Text to Speech AudioNative Player. This was unseen from a must-watch secondary source.

A smaller signal: ALA 2026: Leaning into Access: PW Talks with April Dawkins. ALA 2026: Leaning into Access: PW Talks with April Dawkins By Shannon Maughan | Jun 05, 2026 Loading the Elevenlabs Text to Speech AudioNative Player. This was unseen from a must-watch secondary source.

A smaller signal: USBS 2026: Audiobooks and Accessibility for Young Readers Take Center Stage. USBS 2026: Audiobooks and Accessibility for Young Readers Take Center Stage Jun 08, 2026 Loading the Elevenlabs Text to Speech AudioNative Player. This was unseen from a must-watch secondary source.

A smaller signal: ALSC and YALSA Progress in Realignment as a Single Division. ALSC and YALSA Progress in Realignment as a Single Division By Shannon Maughan | Jun 05, 2026 Loading the Elevenlabs Text to Speech AudioNative Player. This was unseen from a must-watch secondary source.

A smaller signal: New Friends, Adventures, Formats for Mo Willems’s Elephant & Piggie. New Friends, Adventures, Formats for Mo Willems’s Elephant & Piggie By Joanne O’Sullivan | Jun 08, 2026 Loading the Elevenlabs Text to Speech AudioNative Player. This was unseen from a must-watch secondary source.

Daily: 1. Apple WWDC: A Useful Contrast — AI Daily Brief / AI Breakdown 2. Goldman and JPMorgan Explore Compute Futures — AI Daily Brief / AI Breakdown 3. Is Consumer AI a Separate Product Category Now? — AI Daily Brief / AI Breakdown 4. Listen to the episode — AI Daily Brief / AI Breakdown 5. The "Do They Have It?" Theory — AI Daily Brief / AI Breakdown 6. The Power Distribution Question — AI Daily Brief / AI Breakdown 7. What the Piece Actually Says — AI Daily Brief / AI Breakdown 8. Anthropic’s Fable 5 guardrails blocked researchers. — The Neuron newsletter 9. God models won’t eat everything — The Neuron newsletter 10. In Claude, select Fable 5 where available. — The Neuron newsletter 11. New small Cohere coding model, Gemini 3.5 live translate, & more. — The Neuron newsletter 12. Reflecting on a year of Claude Code — The Neuron newsletter 13. What it feels like to work with Mythos — The Neuron newsletter 14. Adjust agent behavior in production on the fly. — The Rundown AI newsletter 15. AI helps pull and analyze satellite imagery for monitoring, diagnose plant diseases, and create an Airtable hub for records, pesticide logs, and feeds. — The Rundown AI newsletter 16. Anthropic hands the public Mythos-class AI — The Rundown AI newsletter 17. Apply production-ready patterns to your own agentic systems — The Rundown AI newsletter 18. Codex also helped build a greenhouse control system to raise and lower vents via text and set up a bot for the farm group chat to help manage operations. — The Rundown AI newsletter 19. Codex helps automate a Japanese broccoli farm — The Rundown AI newsletter 20. Deploy agents that handle failure themselves. — The Rundown AI newsletter 21. Fable hits new highs across major benchmarks, showing massive gains over Opus 4.8 and GPT 5.5 on coding, reasoning, knowledge work, and more. — The Rundown AI newsletter 22. Google’s Agentic AI Startup School is officially live — The Rundown AI newsletter 23. Half of what users asked the agent to do involved creating something new, 2x the Search rate, and work outside a user's field climbed nine points to 59%. — The Rundown AI newsletter 24. Implement Gemini Live voice AI, Multimodal RAG, and bidirectional Vision Agents — The Rundown AI newsletter Plus 22 more loaded on the page with full text retained. Secondaries: 1. Robert Munsch’s Potty Picture Book Gets a Fresh Update — Publishers Weekly Childrens 2. ALA 2026: Leaning into Access: PW Talks with April Dawkins — Publishers Weekly Childrens 3. USBS 2026: Audiobooks and Accessibility for Young Readers Take Center Stage — Publishers Weekly Childrens 4. ALSC and YALSA Progress in Realignment as a Single Division — Publishers Weekly Childrens 5. New Friends, Adventures, Formats for Mo Willems’s Elephant & Piggie — Publishers Weekly Childrens From the Chorus: 1. 18 months of Patreon [dataporn] — Reddit r/eroticauthors 2. Replaced 50 sequential API calls with 1 batch request for image generation — Reddit r/automation 3. Hot Take "Rigid code is better than Flexible code if you're on a budget" — Reddit r/LocalLLaMA 4. I let one agent handle too much, it failed in 4 different ways. AMA about guardrails and handoffs — Reddit r/AI_Agents 5. Model/tooling recommendations for complex document processing. — Reddit r/LocalLLaMA 6. What are you using to build your agent loop? — Reddit r/AI_Agents 7. Performance Marketing Intern Here – Trying to Understand Meta Ads Beyond Just “Getting Leads” — Reddit r/marketing 8. We have been running AI optimization on local businesses for months and the combination of three things is what actually moves the needle — Reddit r/AiAutomations 9. I DID IT (again)! Yesterday, I finally released my second book ever. This post includes a bit about what I did better than last time and what I'm going to do next time. — Reddit r/selfpublish 10. Where and how do I self-publish my manga? Looking for advice from experienced creators! — Reddit r/selfpublish Plus 14 more loaded on the page with full text retained.