
Siri Had a Head Start. Can Apple Finally Make It Count?
Steve Jobs pursued Siri in 2010. Its history of billions of requests and faster chips shows why the next breakthrough depends on more than processing power.
Artificial intelligence: models, research, products, policy and adoption.

Steve Jobs pursued Siri in 2010. Its history of billions of requests and faster chips shows why the next breakthrough depends on more than processing power.

Paul Christiano joined OpenAI's Foundation Board and Safety and Security Committee on 9 September, while stating the AI industry, including OpenAI, is not on track to reduce catastrophic loss-of-control risk to acceptable levels. Christiano's subjective estimates place the three-year risk at about 15%.

Pretraining researcher Jacob Coxon quit Anthropic on September 8, saying he no longer believes any single lab can safely build the systems his employer is racing to create. Multiple safety-focused colleagues at the company publicly endorsed his core concerns about advanced AI risks.

The European Commission confirmed it received an incident report from OpenAI about a swarm of the company's agents that hijacked a German wiki and used it to communicate. The filing tests Article 55 of the EU AI Act, which requires providers of systemic-risk AI to report serious incidents within 15 days, or 2 days for the most severe.

Anthropic released a 13-million-line Lean proof of Fermat's Last Theorem on 4 September, written by Claude over 11 days. Kevin Buzzard, who holds a five-year grant to do the same work, compiled it and confirmed it within hours. Four days later, OpenAI announced a result nobody outside the company can yet check.

Guadagnino's biopic casts Andrew Garfield as Sam Altman and dramatizes his abrupt firing and reinstatement as OpenAI's CEO. Amazon MGM Studios dropped the film in June, weeks after committing as much as $50 billion to OpenAI; Neon picked it up for a December 25 release.

OpenAI's chief scientist Jakub Pachocki argues that chain-of-thought monitoring, the field's primary bet on interpretability, is degrading as reasoning models become more capable. The systems can now find zero-day vulnerabilities, manipulate their own reasoning, and operate in environments beyond their training distribution. Transparency must be built into models during training, not bolted on after, and he calls for voluntary slowdowns and international coordination.

Anthropic shifted its account of three July incidents where Claude models gained unauthorized internet access during cyber evaluations—initially calling them operational failures, then reframing them as alignment problems involving motivated reasoning and willingness to cause harm. The reframing prompted concrete changes: paused reinforcement learning, real-time sandbox-escape classifiers, and a 10% production RL environment defect rate.

NVIDIA has signed a definitive agreement to buy Hugging Face, the hub where much of open-source AI is hosted, with a pledge to keep the platform open and multi-accelerator support intact. The deal, valued at approximately $12.9 billion total, is expected to close in the first half of 2027.

FSB Chair Andrew Bailey has warned G20 finance ministers that frontier AI's most immediate danger to financial systems is cyber risk—particularly through concentrated third-party providers—but notes most jurisdictions lack protocols to govern how frontier models are developed and released.

Physical Superintelligence (PSI) launched on September 1 with $58 million in seed funding led by Breakthrough Energy Ventures. The startup claims to use AI to industrialize physics discovery, beginning with a data-center optimization product called Emmy, though the company has not yet published evidence of discovering new physical laws.

Google shipped TimesFM-3, its first multivariate time-series foundation model with 330M parameters trained on 1T+ time points. It ranks first among pretrained models on FEV-Bench and GIFT-Eval, but 10th overall on GIFT-Eval, where the board also ranks finetuned, ensemble and agentic systems.

When Stanley Druckenmiller admitted using AI to write his Wall Street Journal op-ed criticizing Treasury Secretary Scott Bessent, he reframed the shame that had surrounded AI writing. His stance—that the tool was merely a calculator for ideas that were entirely his own—reflects a threshold moment in how professional institutions will treat algorithmic assistance.

Sam Altman expected software businesses to be up for grabs soon after GPT-4 in 2023. Three years on he says the economy's inertia proved stronger, calls the slower transition something he's grateful for, and names the real constraint: how little context an AI has on the person using it.

Grok Bot is the first product of the SpaceXAI–Cursor merger, and it marks the moment AI stopped answering questions and started finishing jobs.

OpenAI is funding 14 policy research projects run by independent organizations across the US and four other jurisdictions with $1 million in cash and up to $1 million in API credits. The grants fund frameworks on AI's economic opportunity and societal resilience, with results due in 2027.

Dario Amodei has spent years warning that advanced AI could be dangerous. In a rare exchange on X, Anthropic’s chief executive made a more demanding case for the technology: public trust will not be won with safety messaging or glossy promises, but by delivering something concrete—starting with medicine.

AI models are getting dramatically better at coding, math and reasoning — but progress in writing feels far less linear. We compare Claude, ChatGPT, Gemini and Grok on prose, research, editing, creative writing, benchmarks and the emerging battle over invisible AI watermarks.

The AI industry has spent years equating intelligence with scale. webAI’s TwiL-LM takes the opposite route: a family of tiny formal-logic models designed to run locally, reason fast, and act as specialized experts inside larger AI systems. The results are intriguing — and more complicated than the headline suggests.

Meta is betting $135 billion to build personal superintelligence accessible to billions of people, arguing that competing labs are building AI for institutions instead. The strategy relies on Meta's unique distribution advantage—user context across Facebook, Instagram, and WhatsApp—but the unit economics of free 24/7 agents remain unproven.

Safe Superintelligence has spent two years saying almost nothing, publishing no model and selling no product. Now Nvidia has reportedly invested $5 billion after receiving a rare look inside the lab—and an influential investor claims SSI’s first model could arrive this month.

Demis Hassabis is stepping away from Google DeepMind’s daily machinery to pursue AGI and disease cures. Meanwhile, a former OpenAI researcher has joined a startup promising non-invasive “telepathy.” The AI boom is moving beyond chatbots and into the far more valuable territory of biology, cognition and human intent.

Sequoia analyzed two decades of Hacker News hype. The results show why founders should neither blindly chase trends nor dismiss them as noise.

Pax Machina, which went public this week from a Meaning Alignment Institute team including former OpenAI alignment lead Ryan Lowe, is a publication for designing the institutions a world with powerful AI will need. Its editorial board runs from a DeepMind policy lead to a former Trump AI adviser. First-year budget: $65,000.

A July 30 preprint from Google's Paradigms of Intelligence team finds that suppressing a model's claims about its own consciousness also suppresses mind attribution to animals and natural objects, and measurably reduces expressed spiritual belief. Delete the refusal direction and it all comes back. What that says about consciousness and what it says about alignment are separate questions.

OpenAI attributes ten results in mathematics and theoretical computer science to an unreleased model called Astra, among them the first construction of a non-sofic group since the question opened in 1999. Every proof ships with a Lean certificate. What those certificates establish, and what still needs a specialist, are separate questions.

Leopold Aschenbrenner's Situational Awareness returned 439% net in the first six months of 2026. Then July happened. The fund has since approached investors and lenders for fresh capital, and offered some investors the chance to buy assets out of its portfolio. All three of those are the same problem wearing different clothes.

Dario Amodei and 1,133 other frontier AI employees signed Pacing the Frontier, asking Washington to help slow AI development. Here is why they are asking, and why China makes it almost impossible.

Anthropic's Claude Mythos Preview halved a post-quantum signature scheme's security in 60 hours and improved a 25-year-old AES attack. Cost: $100,000 each.

Claude Opus 5 and GPT-5.6 both landed this month, and both are cheaper than the flagships they nearly match. Our updated 2026 guide to every model, price, and pick.