This week frontier AI stopped asking you to come to it. Apple rebuilt Siri on Google’s Gemini and — the bigger news — let you pick Claude or ChatGPT instead; OpenAI’s Codex landed inside AWS; Claude showed up as a button in Excel. And just as the “AI ships everything now” story peaked, an NBER paper of 100,000 developers landed to remind everyone that writing 180% more code isn’t the same as shipping 180% more software.
Edition 015 · 8 June 2026
Apple opens iOS to Claude, ChatGPT and Gemini
Apple makes choosing your AI a system setting on iOS — Claude, ChatGPT or Gemini. Plus the NBER study showing AI writes far more code than it ever ships.
01
Topic of the Week
Apple opens Apple Intelligence to Claude, ChatGPT and Gemini
What happened. At WWDC on Monday — Apple’s Worldwide Developers Conference, the annual June keynote where it previews the next year of iOS, macOS and friends — Apple did two things. First, it rebuilt Siri on a custom Google Gemini model — Apple is renting the brain rather than building it, reportedly for around $1B a year. Second, and more interesting for us: iOS 27 lets you route questions to your chatbot instead of Siri, with Claude and Gemini now named alongside the existing ChatGPT integration. You can even set a third-party AI as the default for Writing Tools and Image Playground. Claude is a native option on iPhone, iPad and Mac for the first time.
Why it matters. This is bring-your-own-model, baked into the OS that sits on ~2.2 billion devices. The platform usually known for locking its ecosystem down made model choice a system setting. It’s a concrete data point for a pattern we keep seeing: distribution matters as much as raw model quality, and supporting more than one model is becoming the normal way to ship — something worth weighing when a stack depends on a single vendor.
02
Fresh Papers
Writing code vs. shipping code — the AI productivity reality check (NBER, Demirer/Musolff/Yang). This is the one to read this week. The authors tracked 100,000+ GitHub developers linked to their actual AI-tool telemetry, across three generations of tooling. The finding is sobering and precise: each new generation lifts raw coding hard — autocomplete +40% commits, interactive agents +140%, autonomous agents +180% — but that 180% commit gain shrinks to +50% for number of projects and just +30% for actual releases. They estimate an elasticity of substitution between AI and human effort of 0.25: AI complements people, it doesn’t replace them, because the bottleneck was never the typing. It’s review, integration, deployment, adoption — the unglamorous “ship it” half.
Adaptive Auto-Harness — self-improving agents quietly rot (Emory + Amazon). Last week we tracked the agent-memory problem from LongMINT to FluxMem. This week the frontier moved one layer up: agents that improve themselves. The paper’s diagnosis is great — let one agent endlessly re-optimize its own prompts and skills and it bloats and degrades: one run grew from 12 to 34 skills and a 2KB prompt to 68KB, with accuracy peaking early then sliding. The fix is a “harness tree” — version-controlled, task-routed specialization (think git branches per task type) instead of one ever-growing config. Result: 80.9% on PolyBench vs 50.8% for the best baseline.
How Anthropic does self-service analytics with Claude — a case study, not a paper, but it reads like one. Anthropic automated 95% of internal business-analytics queries at ~95% accuracy, freeing the data-science team for real modeling work. The number worth remembering: with no Skills, the agent hit 21% accuracy mapping questions to data; with structured Skills (markdown procedural knowledge), 95%+ — and 99% in specific domains. Their thesis: analytics accuracy is a context and governance problem, not a SQL-generation problem. Fewer, heavily-owned canonical datasets; colocate modeling code, semantic layer and docs in one repo with CI; “start lean — a handful of datasets, a few dozen evals, a thin knowledge skill captures most of the upside.”
03
New Models
Gemini 3.5 — the cost-leadership play. Google’s pitch isn’t bigger benchmarks, it’s frontier-level output at roughly a third of competitors’ cost (Pichai’s framing), with Gemini now at 900M monthly users (double a year ago). Gemini 3.5 Flash has shipped; 3.5 Pro is promised “this month.” Worth watching given how much of the Apple deal runs on Gemini under the hood.
Microsoft goes first-party: MAI-Code-1-Flash + MAI-Thinking-1. Microsoft shipped its own reasoning and code models (June 2) — a quiet but real signal that it wants less dependence on OpenAI even while reselling everyone’s models through Foundry. Vendor strategy, not just a spec bump.
04
Claude Code & Coding AI
The plugin/skills layer grew up (v2.1.157–162). Last week Claude learned to write its own orchestration script (/workflows); this week the platform underneath it caught up. The headline change: skills now auto-load straight from .claude/skills — no marketplace required, plus a new claude plugin init <name> to scaffold one. For a skills-heavy setup, that removes a whole step. The other theme is safety: Claude Code now asks permission before writing to files that can execute code — shell startup files (.zshenv, .zlogin), and build configs like .npmrc, .bazelrc, .pre-commit-config.yaml, devcontainers. Parallel tool calls and a pile of WSL/paste fixes round it out.
Who’s actually building on Claude — the Problem Solvers showcase. Anthropic put up founder interviews on what gets built on Claude, and the line-up is a decent snapshot of the coding-agent economy: Lovable (conversational app-building, millions of users in two months), Legora (AI-native legal OS), Cognition (Scott Wu: engineers “going three, five times faster — and just shipping so much more”), Replit (50M+ users; “Anthropic continues to have the best coding models on the market”), and Genspark (Kay Zhu: “with every other model, we had to predefine every step — Anthropic’s model changed everything”). Read it next to the NBER paper above for a nice tension: founders feel the 3-5x; the data says watch what actually ships.
05
Tools of the Week
OpenAI’s frontier models + Codex are now GA on AWS. GPT-5.5 and GPT-5.4, plus Codex (OpenAI’s coding agent, 5M+ weekly users), now run inside Amazon Bedrock. Pay-per-token at OpenAI’s own rates, no seat licenses, no per-developer commitments — and it all sits under your existing AWS governance, IAM and billing. Frontier access without onboarding a new vendor.
AlloyDB Remote MCP Server hits GA (Google Cloud). A ready-made, secure way for AI agents to read a company’s database — no password sitting in a config file, read-only by default (the agent can’t delete anything), and every query written to an audit log. Exactly the controlled, “who-asked-what” access that regulated clients keep asking for.
Claude inside Excel (Microsoft Foundry). Microsoft Foundry now runs Claude Opus 4.8 in Excel’s “Agent Mode” — the model is reachable from the spreadsheet itself, no separate window. Combined with the Apple news above, the theme of the week is plain: Claude is showing up where people already work, not as a destination you visit.
06
In the Background
Following the $965B raise we covered two weeks ago, Anthropic confidentially filed a draft S-1 with the SEC (May 31) — the first paperwork on a path to an IPO. On the policy side, the CEOs of OpenAI, Anthropic, Google DeepMind and Microsoft signed a joint letter to Congress (June 5) urging mandatory biosecurity screening of all US synthetic-DNA providers, warning that AI is eroding the barriers to weaponizing biology.
07
AI at Tenvalleys
A lot happens off the screen, too. Our team pulled together the tech and AI events worth knowing in Warsaw for June and July, plus one big hackathon in October — some pure networking, some that could start a genuinely useful conversation.
June
9.06 (Tue), 19:00 — Tech and BeersUWAGA PIWO (Żelazna 51/53). Casual tech networking, no registration, runs every two weeks.
10.06 (Wed), 18:30 — WarsawJS #139WeWork Mennica Legacy Tower (Prosta 20). Six talks: AI in a dev career, React Native, architecture, Docker security. Free, registration.
10.06 (Wed), 18:30 — Tech Startups in the PubBritish Bulldog (Al. Jerozolimskie 42). Founder/investor networking, no panels or pitches. Free.
11.06 (Thu), 18:30 — Hands-on Agile #75: Token Economicsonline. Claude token economics, i.e. how not to burn your AI budget. Free, registration.
17.06 (Wed), 18:00 — Mindstone Warsaw June AIŚwietlica Wolności (Nowy Świat 6/12). AI community meetup. Free, registration.
18.06 (Thu), 18:00 — Boxtech #3: AI in EngineeringBox Poland, Varso Tower (Chmielna 69). “Insights for Builders and Leaders”, two talks. Free, limited seats, Google Form.
July
10.07 (Fri) — Mindstone Warsaw July AIŚwietlica Wolności (Nowy Świat 6/12). Talks: “Beyond the Buzz: Practical Lessons from Bringing LLMs to Life” (Sergey Parkhomenko) and “How I use AI every day to improve sales” (Jacek Gabanowicz). Free, ~30 seats.
October — Kraków
3–4.10 (Sat–Sun) — HackYeah 2026Tauron Arena, Kraków. Europe’s largest on-site hackathon, 24h, teams of 1–6. Categories include AI, Defence, Smart City, Sport & Healthcare. On-site mentoring, conference alongside. PL/EN, registration required.
If you’re heading to any of these, come say hi. And if there’s a good AI or engineering meetup we’ve missed, tell us at contact@tenvalleys.com.
08
For Dessert
Here’s the number that stuck with me this week: Anthropic disclosed that Claude now writes over 80% of its own code — up from under 10% in February 2025. Marina Favaro and Jack Clark put it plainly in a June 5 post: “AI that can build itself would be a major development in the history of technology… but full recursive self-improvement also might increase the risks of humans losing control over AI systems.” A model writing eight of every ten lines of its own next version, with the company shipping it flagging that it finds the pace a little unsettling. (And yes — the same day, Claude itself went down: an outage hit claude.ai, the API, Claude Code and Cowork around 15:08 UTC on June 5, with full service confirmed back by 18:27 UTC. Even the self-improving need a coffee break.)
Prepared at Tenvalleys — a delivery-first AI engineering partner — by Nikola Powałka. Feedback? Email us at contact@tenvalleys.com or reach out on LinkedIn.