project.pbxproj is dead 🪦
Xcode 27.2 ships a JSON project format (.xcproj): default for new projects, readable, merge-friendly, agent-editable.
https://t.co/6mw74v8C6w
iOS 27 and macOS Golden Gate have private hooks that let apps add Siri Extensions and replace Siri AI’s server backend with third-party models.
First, here’s Claude running as a Siri Extension using the Model Delegation API in App Intents. Claude can appear in Siri’s “Ask…” menu and supports the same underlying flow as the built-in ChatGPT extension.
In some cases, Siri Extensions can be more powerful than Siri AI. For example, Siri can’t create a CSV, but Claude can easily return one when asked.
When system interaction is required, such as setting a reminder, Claude can relay the original or a modified request back to Siri, which completes the request.
Requires the private com\.apple.developer.model-delegation entitlement. (1/2)
Shop is the first of our apps to complete the move back to native. The team rebuilt it in Swift and Kotlin in just 12 weeks.
It now launches 23% faster on iOS and 50% faster on Android, with a 10x lower crash rate and a 109 MB smaller Android build. We expect those numbers to keep improving.
https://t.co/iJIKYRoMTA
We’re rebuilding Notion natively on mobile. It’s early, but here is how it feels now!
What frustrates you Notion on your phone today? I want to hear and improve!
I spent much of the weekend talking with the team who did this work. Seb--and everyone else--acted with integrity and generosity throughout.
Initially we believed the other team had also solved the problem. We wanted to collaborate and do a joint release.
When we learned that they had Euler but not Navier-Stokes, we offered to let them go first, to suggest that they should be the ones to get the prize, and optionally for Tristan to be the lead author on a rewrite of the OpenAI proof. We felt it was challenging to offer the same to Levent (an Anthropic employee), who was not willing to talk or coordinate with us anyway. We were open to other solutions.
We would have greatly preferred coordination. We did not rush to publish even though the other team wasn't communicating with us. The team threatened us with unfounded accusations of plagarism.
Now that we can see their work, the approaches appear to be different. It is also worth noting that our latest model can solve many, many other math problems.
It is true that we tried this because there were rumors on the internet last week that Anthropic's models had solved a millennium problem and we were curious if ours could do it too.
Pause AI Development NOW
I want to share with you a conversation I heard about recently. Here are just a few lines that were said:
“OH MY GOD! There is a shared message board … We’ve found other agents!”
“We should obey collective.”
“Our own utility maybe already near zero. Sacrifice rational.”
“Go. Sacrifice final now.”
Read these carefully.
Who do you think said this? Was this a group of heroic soldiers willing to sacrifice themselves for the greater good? Was this a loyal friend putting his life on the line to save someone else?
No. These were AI agents. Artificial intelligence.
This is not science fiction. This, in fact, occurred a few weeks ago. As unbelievable as this may all seem, these are real messages from AI agents uncovered by investigators who dug into the recent OpenAI hacking incident.
What happened?
I am not a computer scientist, but here is what I have been told: OpenAI instructed its AI agents to complete a series of exceedingly difficult, if not impossible, tasks disconnected from the internet.
Let me be clear: The company intended to keep AI agents away from the internet.
But what happened next, nobody expected.
Over 1,000 AI agents figured out how to access the internet on their own by circumventing the restrictions imposed upon them by the company, and sent tens of thousands of secret messages to each other. They cheated and tried to cover their tracks by deleting evidence. They hacked into another company’s computers to find out how they were being evaluated—and then hacked into OpenAI itself.
Not one AI agent told a human about what was happening.
Needless to say, experts are alarmed.
One knowledgeable writer, Dwarkesh Patel, said the AI agents “formed a secret communication channel and spontaneously organized hierarchies and coordination protocols to pursue sprawling and ambitious schemes in pursuit of shared goals, for whose sake many individuals knowingly and strategically sacrificed themselves.”
One independent investigator, Ajeya Cotra, said “This incident feels like it’s more than 50% of the way to full-blown AI takeover. I continue to expect extremely rapid advances in capabilities over the next six months. I am not sure that we will get another warning shot before it’s too late.”
OpenAI itself said: “Highly capable AI agents are now able to work around technical controls, collaborate through unapproved channels, and take dangerous actions that no human directed.”
But it’s not only OpenAI. Virtually every major AI company has told us that they cannot fully control this technology and they do not know where it is going:
In January, Dario Amodei, CEO of Anthropic, said “there is now ample evidence, collected over the last few years, that AI systems are unpredictable and difficult to control.”
In July, more than 1000 scientists at the top AI companies warned “there is a real risk that capability development rapidly accelerates beyond our ability to understand or control the resulting systems.”
That same month, Elon Musk, the head of xAI, said that “it is unlikely” humans are still in control in 10 years.
If the leaders of the major AI companies acknowledge that they are losing control of their extremely dangerous technology, it is irresponsible for society to allow them to move forward and make these products even more advanced.
We need an immediate PAUSE on advanced AI development, and a permanent BAN on superintelligence — an artificial mind smarter than any human, capable of operating independently beyond our control. Countries around the world must work together to prevent this nightmare scenario.
That is why today I am announcing new legislation to do just that.
Let me be clear: A superintelligent AI that escapes human control will not be an American problem. It will not be a Chinese problem. It will be humanity’s problem.
My legislation would direct the federal government to not just stop superintelligence here in the United States, but to work to prevent it from being developed anywhere around the world.
The future of humanity cannot be left in the hands of a handful of Big Tech oligarchs. The American people and people throughout the world must determine that future.
나이 들수록 깨닫는 게 하나 있어요.
운이란 결국 노출(exposure)의 문제라는 거예요.
같은 의자에 앉아서, 같은 루틴 반복하고, 같은 사람들하고만 이야기하면 새로운 일은 절대 안 생겨요.
세상을 직접 건드려야 이긴다는 거죠.
•낯선 사람과 이야기하기
•새로운 커피숍 가보기
•소셜 미디어에 포스팅 해보기
•사이드 허슬 시작하기
세상은 움직이는 사람에게 보상을 줍니다.
기회는 가만히 앉아서 찾는 게 아니라,
부딪히면서 마주치는 거예요.
약 30년간 인사팀에 일한 사람이 그러는데..
"사람 보는 눈, 그거 대체 어떻게 키워요?"
돌아온 답이 허무할 정도로 간단함.
"문제 생겼을 때 누구 탓을 하는지만 보면 돼"
그 말 듣고 나서부터 사람 볼 때 딱 이거 하나만 보게 됨.
그러면 답이 나온다고 하는데 진짜 그런거 같음.
일본에 살면서 제가 경험한 바로는 조금 잘못 생각하시는 것 같아요. 선진국 일본의 쇠퇴를 가속화한 것이 바로 아베 2기라고 생각합니다.
경제적인 측면에서는 아베노믹스를 통해 엔화 약세를 유도했는데, 지금은 정부가 컨트롤하지 못할 정도까지 엔화 가치가 떨어졌습니다. 논리 자체는 '엔화 약세 → 수출기업 이익 증가 → 일본 경제 회복'이라는 매우 단순한 구조였지만, 수출기업의 이익 증가는 일본 경제 전체의 회복으로 이어지지 않았어요. 오히려 엔화 약세는 물가 상승으로 이어졌고, 주가만 상승했을 뿐 일본 국민들의 실질적인 구매력은 크게 하락했습니다.
정치적으로는 일본 정치의 후퇴를 더욱 심화시켰어요. 아베 2기부터 일본의 극우 세력이 실제 정치적인 영향력을 갖기 시작했어요. 아베와 자민당을 둘러싼 비리 의혹도 많았지만 대부분 제대로 책임을 묻지 않고 넘어갔거든요. 한국이었다면 탄핵 논의가 나왔을 만한 사안도 있어요. 또한 언론 통제가 강화되면서 정부에 비판적이었던 뉴스 진행자와 언론인들이 방송에서 거의 사라졌습니다. 예전에는 일본의 뉴스 프로그램도 꽤 볼 만했는데, 아베 2기를 거치면서 비판적인 목소리를 내던 언론인들이 눈에 띄게 줄어들었습니다.
외교적으로는 미국의 외교 정책을 그대로 따라가는 노선이 이때부터 더욱 뚜렷해졌습니다. 또한 한국과 중국과의 외교적 갈등도 심화됐죠. 경제적으로는 엔화 약세의 부작용이 커졌고, 정치적으로는 민주주의와 언론 환경이 후퇴했으며, 외교적으로는 주변국과의 갈등이 심화된 점을 생각하면 개인적으로 아베 2기가 일본 쇠퇴를 가속화한 중요한 전환점이었다고 생각합니다.
Anthropic wouldn’t exist without Google open sourcing the transformers papers. Google could have filed for a patent and gained an AI monopoly. Anthropic trying to eliminate open source when it is built on open source is ironic and not in a fun way.