Microsoft has increasingly given CEO titles to the leaders of some of its biggest businesses, such as Microsoft Gaming CEO Phil Spencer and Microsoft AI CEO Mustafa Suleyman. Microsoft also used CEO positions with its GitHub and LinkedIn acquisitions, although the GitHub CEO position disappeared after Thomas Dohmke resigned over the summer.

I wonder did the dutch India company have this problem? Everyone had to be a captain or some sort? Not dissing on the CEO title. just wondering out lout how big is too big.. I mean if companies are saying the quite part out loud “this is a separate company” why isn’t it?

The more detailed you make your prompts, the better Claude Code performs. But to get it to work correctly, you need specifications so detailed that you’ve almost done the implementation.

You’re not necessarily saving time - you’re programming in Markdown instead of code. … So, to be effective, you need to behave just like Gabriel. You need to watch Claude plotting stuff in the console. As one moment it generates sensible code, then completely loses the plot the next. … Speaking about junior devs. Many people claim that working with LLM is like working with a junior. I think that’s disrespectful and just plain wrong. Junior devs don’t have enough knowledge yet, but they learn, you can teach them, mentor them, and they will get better. They can also reason and react based on what they’re doing; they’re not just code outputters. LLMs won’t learn, as they don’t have memory; they just have context, which they happen to lose quickly and randomly.

Most organisations don’t even recognise what good engineering looks like. They treat software development as a commodity – a manufacturing production line – measured by how many features are shipped rather than whether the right outcomes are achieved. Few understand the value of investing in modern software engineering best practices and design – the things that make those outcomes sustainable.

I have never been the best engineer I’ve ever met. But I like to think I’ve been good at delivery solutions. I’m not sure that AI effectively weeds out mediocre engineers than it lowers the floor for sub optimal solutions and raises the bar for good ones. Suddenly I’m spending less time googling syntax for JOIN statements and more time engaging in a discussion of best practices for good data modeling.

Even if we may be in an AI bubble, it seems Altman is expecting OpenAI to survive the burst. “You should expect OpenAI to spend trillions of dollars on data center construction in the not very distant future,” Altman said. “You should expect a bunch of economists to wring their hands.”

I’m not sure whats more audacious. Declaring everyone ELSE is delusional or lighting billions on fire for the equivalent of a summary machine…

2025-10-06 Codex is now GA Codex is now generally available with 3 new features — @Codex in Slack, Codex SDK, and new admin tools.

Got tired of anthropic throttling me. Got worse on sonnet 3.5. So I’m giving codex a try. So far I’m both very happy with its coding ability and seemingly no limits.

_{Quote Citation: developers.openai.com, “Codex changelog”, 2025-10-21, https://developers.openai.com/codex/changelog}

Our analysis suggests that tariff measures are already exerting measurable upward pressure on consumer prices. The rise in prices beginning in early 2025 coincides closely with tariff developments, and our model-based regressions confirm that these effects are statistically and economically significant.

At the same time, the pass-through remains partial; only a portion of the model-predicted effect has materialized so far. This could reflect delays in price adjustments, competitive pressure limiting firms’ ability to raise prices, or expectations that the tariffs may prove temporary.

“If you’re, like, farming, you’re doing something people really need,” Altman explained. “You’re making them food, you’re keeping them alive. This is real work.” But the farmer would see our modern jobs as “playing a game to fill your time,” and therefore not a “real job.”

“It’s very possible that if we could see those jobs of the future,” Altman said, we’d think “maybe our jobs were not as real as a farmer’s job, but it’s a lot more real than this game you’re playing to entertain yourself.”

There are no weird files that shouldn’t belong there, no duplicate implementations, and no emojis all over the place. The comments still follow the style I want and, crucially, often aren’t there. I pay close attention to the fundamentals of system architecture, code layout, and database interaction. I’m incredibly opinionated. As a result, there are certain things I don’t let the AI do. I know it won’t reach the point where I could sign off on a commit. That’s why it’s not 100%. Research + code, instead of research and code later: Some things that would have taken me a day or two to figure out now take 10 to 15 minutes. It allows me to directly play with one or two implementations of a problem. It moves me from abstract contemplation to hands on evaluation.

Small time savings were observed across most use cases, with written tasks presenting the largest time savings. However, some tasks, like scheduling and generating images, incurred additional time to complete the task when participants used M365 Copilot. Additional time to complete tasks was primarily caused by either M365 Copilot being unable to produce high quality outputs or the task being additional workload only completed due to users having M365 Copilot. The evaluation did not find evidence that time savings have led to improved productivity, and control group participants had not observed productivity improvements from colleagues taking part in the M365 Copilot pilot. However, many pilot participants reported noticing time savings in their own roles due to M365 Copilot. M365 Copilot was found to be particularly beneficial for neurodiverse colleagues, who were statistically significantly more satisfied than other users. Non-native English speakers also anecdotally reported significant benefits, including improvements to wellbeing, technical abilities, and future career ambitions. Training was identified as a significant factor in user satisfaction, with self-led training being more effective than formal departmental training sessions at increasing user satisfaction with M365 Copilot.

In Claude Code, we’ve added checkpoints—one of our most requested features—that save your progress and allow you to roll back instantly to a previous state.

Dunno. recently I’ve been using OpenAI codex. I find I can work with much longer on the 20/month plan than I can sonnet. and I’m not nearly smart enough to detect differences in the two tools approach to solutions at this time.

_{Quote Citation: Anthropic, “Introducing Claude Sonnet 4.5 \ Anthropic”, Sep 29, 2025, https://www.anthropic.com/news/claude-sonnet-4-5}