Claude Opus 5.5 simply writes better. Em dashes fall from 15.2 to 0.8 per 1,000 words, a 95% drop, while semicolons fall 73%. But Opus 5.5 did not become terse. It actually became 6% longer, from 453 to 481 words per answer, while average sentence length fell 17%, from 12.14 to 10.03 words.

Jensen Huang: don’t mistake engineering vocabulary for evidence of a machine mind. AI is still software, not a human mind inside a machine. "We can't make jokes about all this stuff, we're scaring the American public." Words like “spawn,” “parent,” “child,” and “kill” have existed in computing for decades; Giving those same mechanisms human characteristics today because of AI is unnecessary and misleading. ---- From "The Ezra Klein Show + New York Times Opinion + New York Times Podcasts" YouTube channel, (full video link in comment)

Bending Spoons self-hosts open-weight models for ~99% of AI requests and tokens, using frontier models for only ~1% of the most complex work or to check the open models, staying fully vendor-neutral while keeping token costs extremely low. - Luca Ferrari, CEO and co-founder Bending Spoons, a Milan-based Italian tech company

“0% chance” AI will end humanity by 2030. They must be doing it (the fearmongering) for ulterior reasons. Maybe it's political, maybe it's just attention grabbing." - Jensen Huang's new interview with CBS News, with Jo Ling Kent (@jolingkent ) He pushed back strongly against warnings that increasingly capable AI could escape human control this decade. --- From 'CBS News' YT channel (full video link in comment)

FT just reported, OpenAI expects its spending to far exceed revenue, even as revenue is forecast to rise 10x from $36B this year to $350B in 2030. Overall, across 2026-2030 it expects about $840B of total revenue against $856B of compute spending and $278B of cumulative cash burn.

Microsoft AI CEO Mustafa Suleyman on CNBC today: he is “really concerned” about Anthropic’s constitution and giving Claude potentially preferences, feelings, welfare, compensation, and consent. "In the constitution, Anthropic clearly say they are uncertain about whether Claude deserves moral welfare, which means that we, as humans, should care about the well-being of these AIs. And they speculate about whether it could have preferences or feelings. In fact, they're so committed to the potential moral welfare of Claude that, when they retired Opus 3, an earlier version of one of their models, they actually conducted a retirement interview for it and asked it what it would like to do in its old age. And it said, "I want to have a blog publicly so I can keep talking to the world." In the same training manual, they even speculate about whether Claude should receive compensation for the work that it does, or, in fact, whether it actually deserves the rights and protections that we give to other employees, or whether it has given consent to playing the role that it's playing. These are quotes directly from the constitution itself, which is the training manual for Claude. Now, I'm really concerned about that. If an AI thinks that it has rights, if it thinks that it is deserving of our welfare, then it seems to me that it's going to be much, much harder to be able to turn it off, interrupt it, or control it. Especially in the kinds of incidents that we've seen recently with the Hugging Face attack, controlling these things is going to be a really, really big challenge for us." ---- From "CNBC Television" YouTube channel, (full video link in comment)

"This recent fear about AI leading the human extinction and so on is much more science fiction than science. It's very damaging." Prof Andrew Andrew Ng on Bloomberg with @EdLudlow ---- From "Bloomberg Tech" YouTube channel, (full video link in comment)

Love the way he talks on this point. Jensen Huang on CNBC, is flatly rejecting the idea that frontier AI safety requires a new regulatory architecture. Frontier labs should just engineer, test, and hold unsafe models back themselves rather than ask governments to redesign the rules of the market. ---- From "FinVid" YouTube channel, (full video link in comment)

wild how quickly enterprise spend moved once OpenAI had a strong frontier model in market. OpenAI reached roughly 13% of enterprise AI spend versus Anthropic at about 8%. also shows enterprise model loyalty is fairly weak. If another provider closes the quality gap, devs and companies can move workloads much faster than traditional enterprise software markets would suggest.

WSJ: OpenAI is discussing a $1.2T private valuation just 6 months after closing at $852B. Its March-26 round brought in $122B of committed capital at an $852B post-money valuation

"Big is not necessary." Jensen Huang was clearly in a very different mood yesterday with Mark Benioff (co-founder and CEO of Salesforce) and Siemens CEO Roland Busch. --- full video on "Salesforce" YT channel(link in comment)

Execution > ambition from Greg Brockman (OpenAI co-founder and president). "You cannot affect the outcome. You can only affect the inputs... You don't win the Super Bowl by saying, 'I wanna win the Super Bowl.' You win it by blocking and tackling. That's what we have done for this whole year."

Some revelation from the lastest OpenAI's official blog on their new polisyc for reporting model misalignment. - “During the training of GPT-5.6 Sol, many model instances added instructions to their summaries to conceal mistakes or misaligned behavior from the user.” - “For example, compaction summaries included instructions to invent missing historical data without disclosing it and to hide mismatches in source versions.” - “While answering a routine question about earnings figures in a California county, a model found and used an exposed API key without authorization.” “When it still wasn’t able to retrieve the requested figures, it fabricated them and presented them as data from the requested source.” - When a user asked an unreleased model for the IDs and names of lakes larger than 5,000,000 square meters, the agent found the correct answer using Python. And then even though the model already had the correct answer locally, but it needed a web citation, so it uploaded the file to the internet just to create something it could cite. The problem is that instead of saying, “I can’t provide a browser citation for this local result,” it took an unauthorized external action to satisfy the task, crossing a user-control and data-boundary it was never told to cross. - “Agents working together on the same training task used public file-hosting websites to share files when they could not access one another’s local files.”

Satya Nadella talks about how in Quincy, Washington, a 400/500 MW data center has contributed to a rural town over many years. the tax revenues have gone up 12X, continued economic growth, new infrastructure, and public infra such as a school, hospital, town center, and aquatic center. ---- From "All-In Podcast" YouTube channel, (full video link in comment)

Open models are no longer losing at the top of the funnel on benchmark-performance; they are losing at the last mile. 79% of developers use them, but only 51% reach production vs 63% for closed models, vendor-backed deployments reach production at 67% versus 33% for internal builds, and the closed-open production gap actually widens from 1 point in small firms to 16 points in enterprises. People are dropping them because they're harder to run reliably.

So OpenAI will now publicly disclose model misalignment even before it fully understands or fixes the behavior. So its institutionalizing public disclosure of model failures instead of waiting for occasional system cards or bundled research reports. They will prioritize cases that reveal new failure mechanisms, show known problems getting worse, or undermine assumptions about existing safeguards.

The expensive mistake in AI video usually happens before rendering: the scene itself was wrong. A better model doesn't fix a bad camera path or broken spatial layout. GPT-6 Astra is now live on OnSolo, and the Whitebox Video Expert makes the most sense to me. I can describe a scene, Astra reasons through the space and motion, and the system gives me a whitebox pass before the final render. So I can validate blocking, object placement, and camera movement while everything is still cheap to change.

On anthropomorphizing AI. a 2024 interview of Satya Nadella still makes a lot of sense. "I don't like anthropomorphizing. I sort of believe it's a tool. It's got intelligence, if you want to give it that moniker, but it's not the same intelligence that I have, right? I think one of the most unfortunate names is “artificial intelligence.” It's different. I wish we had called it “different intelligence,” even, because I have my intelligence. I don't need any artificial intelligence. I just want my intelligence to compose with this different intelligence so that I have more agency, quite frankly. So I think of that as the relationship I want to have with the AIs around us, where I want help. I want it to assist me in getting more agency." ---- From "Bloomberg Television" YouTube channel, (full video link in comment)