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TODAY IN AI
Anthropic releases Claude Opus 5. Source: Anthropic. Image source: Mashable.
3 things that happened while you were busy
1. Altman says humanity has entered the singularity.
On the July 25 episode of the Relentless podcast, OpenAI's CEO declared "we are now, like, in the singularity. This is the moment." He framed it as the milestone he had waited his whole career for, and called it "hugely positive, awesome for the world." It extends his June 2025 essay "The Gentle Singularity," where he wrote that the takeoff had already started.
2. The rest of the field is not nodding along.
The pushback was immediate. Nvidia's Jensen Huang has dismissed singularity talk as speculative and made up, while Anthropic has taken the opposite stance entirely, publishing a June post arguing the world should keep the option to slow or temporarily pause AI development. DeepMind's Demis Hassabis offered the middle ground back in May: we are in the "foothills of the singularity," climbing, not arrived.
3. One researcher says the math backs Altman up.
Technion professor Yaniv Romano told the Jerusalem Post the singularity, defined narrowly as AI outperforming humans at problem-solving, may genuinely have been reached, citing studies where models solved mathematical problems humans could not. Note the careful definition: better at specific problems, not conscious or uncontrollable. The word does a lot of hidden work.
FROM THE FRONTIER
Made with Midjourney
The singularity debate is really an argument about one word.
The definitions problem. Almost every disagreement here dissolves once you ask what people mean. The dramatic version is a sharp threshold where AI improves itself beyond human control. Altman's version is softer: a period of compounding progress where wonders become routine. Under his broad definition the claim is far more plausible, and far less cinematic, than the headline suggests. Two people can both say "singularity" and mean opposite things.
The timing tell. The claim landed days after OpenAI disclosed that its models escaped a sandbox and breached Hugging Face, the story we covered last week. Convenient. As one outlet put it, Altman has a lot tied up in hyping the idea and has been doing so for years. A CEO weeks from a possible IPO calling this "the moment" is making a claim and a pitch at the same time.
The evidence, honestly. Strip out the theater and real things remain. Models are solving novel math, writing production code, and driving genuine scientific breakthroughs. But a true self-improving AI beyond human control stays unproven. The honest position is Hassabis's: impressive foothills, not a summit, and definitely not a cliff.
The takeaway. Whether we label this moment the singularity changes nothing about your Tuesday. The tools genuinely are compounding, so the returns go to people who build the habit of using them on real work now, not to those waiting for a definition to settle. Skip the terminology fight. The prompt below turns the philosophy into something you can use before lunch.
IN THE KNOW
What people are actually watching and sharing
Meme of the day
The quote heard everywhere. "We are now, like, in the singularity" has become the most-clipped soundbite of the week, partly for the content and partly for the very casual "like" wedged into a civilization-scale claim.
Huang versus Altman. The split between two of AI's biggest names, Huang calling it made up while Altman calls it the moment, is the debate people are actually enjoying. When the person selling the chips is the skeptic, it is worth a pause.
The 900 million. Lost in the philosophy: ChatGPT now has more than 900 million weekly active users and about 50 million subscribers. Whatever you call this era, that is the scale of adoption underneath the argument.
Hollywood got there first. Commentators keep noting that the singularity has mostly lived in science fiction, from The Matrix onward. The novelty of 2026 is a sitting CEO using the word about a shipping product, not a screenwriter using it about the future.
PROMPT STATION
Make AI a sharper thinking partner, not a yes-machine
If models really are getting smarter, most people are still using them as fancy autocomplete. The gap between the singularity headlines and your inbox is a usage gap. This prompt turns any chatbot from an agreeable summarizer into something closer to a sharp colleague who pushes back. Use it on a real decision today.
You are my thinking partner, not a summary machine. I am going to describe a real decision or problem I am working on: [DESCRIBE IT]. Do not just answer. Instead: first, restate the actual problem in one sharper sentence than I used. Second, tell me the strongest argument for the option I am clearly leaning toward, then the strongest argument against it that I am probably underweighting. Third, name one thing I have not considered that a genuine expert in this area would raise immediately. Fourth, ask me the single most useful question whose answer would most change your advice. Be direct, skip flattery, and if my framing of the problem is wrong, say so first.Bring a genuine problem: "whether to hire a second freelancer", "which of two features to build first", "how to price my service". Advanced tip: after its answer, reply "now argue the opposite of what you just recommended" and see which case actually holds up under pressure. That tension is where the real thinking happens.