Ai

ANTHROPIC REVOKED OPENAI’S API access to its models on Tuesday, multiple sources familiar with the matter tell WIRED. OpenAI was informed that its access was cut off due to violating the terms of service.

“Claude Code has become the go-to choice for coders everywhere, and so it was no surprise to learn OpenAI’s own technical staff were also using our coding tools ahead of the launch of GPT-5,” Anthropic spokesperson Christopher Nulty said in a statement to WIRED. “Unfortunately, this is a direct violation of our terms of service.”

There is, however, some skepticism around the extent to which AI is truly responsible for layoffs. “As a founder, seeking investments, of a company that’s in a public market that trades stock, you don’t want to rattle the market and say ‘Oh we’re actually in a really tough position because we can’t borrow money cheaply and the economic condition isn’t great,’” said Mr. Vu, “You want to be able to at least try to shape the narrative on why your company’s headcount isn’t growing as quickly as it should, and in fact right now, AI certainly seems like a good reason to attribute that to.”

Companies building AI dev tools report positive results. Cursor calls it “the smartest coding model we’ve used.” Windsurf says it has “half the tool calling error rate” of other models. Vercel praises its frontend capabilities.

Beyond the tool companies, some founders and developers have shared their early experiences. GitHub’s CEO mentioned that GPT-5 shows promise for complex refactoring tasks. Several startup founders have noted improvements in code generation quality, though most emphasize they’re still in early testing phases.

Jason Leverant, the COO and president of AtWork Group, told Newsweek that automation tended to hit jobs that fell into what he called the “Three D’s”: dull, dirty or dangerous. Many white-collar positions in the “dull” category are already being replaced by AI tools.

Feels like this is an assertion without citation.. but it has been a rough few years.

_{Quote Citation: Newsweek, “US Hits Highest Layoffs Since COVID - Newsweek”, 2025-08-12, https://www.newsweek.com/us-hits-highest-layoffs-since-covid-2111794}

Fast forward to today, and that joy of coding is decreasing rapidly. Well, I’m a manager these days, so there’s that… But even when I do get technical, I usually just open Cursor and prompt my way out of 90% of it. It’s way more productive, but more passive as well.

I’m not sure I agree with this post.. Yes with AI you can be dangerous again and sling some code. But finding Joy in writing functions? No.. find joy in shipping. ABC always be committing..

In 2023, the National Endowment for the Arts reported that, over the preceding decade, the proportion of adults who read at least one book a year had fallen from fifty-five per cent to forty-eight per cent. That’s a striking change, but modest compared to what’s happened among teen-agers: the National Center for Education Statistics—which has recently been gutted by the Trump Administration—found that, over roughly the same period, the number of thirteen-year-olds who read for fun “almost every day” fell from twenty-seven per cent to fourteen per cent. Predictably, college professors have been complaining with more than usual urgency about phone-addled students who struggle to read anything of substantial length or complexity.

In short, we are in the midst of a Cambrian explosion of developer tools, and a dizzying array of approaches are currently being tested for their evolutionary fitness. Consider even an abbreviated, absolutely non-exhaustive list of related tools: Aboard, Bolt, Cline, Copilot, Cursor, ChatGPT / Codex, Claude / Code, Gemini / CLI, Factory, Lovable, Poolside, Replit, Same.dev, vibes.diy, v0, watsonX and Windsurf. Not all of these will succeed, and indeed some argue that all of these are doomed because the economic footing they’re built on is fatally unsound. That argument is built on two core assumptions, however: that vendor costs will never come down and that user costs can not be raised – neither of which seems entirely safe.

That objective I described - meaningful Experimentation - is the first phase of our journey. We’ll then transition to a second phase centered around a goal of Adoption of AI as standard part of the day-to-day toolkit for engineers. At that point the focus shifts again to measuring Impact - where is this new tool helping, and where is it causing issues.

Deep dive in driving adoption of really anything. Change management 101.

AI is being hyped across every industry, but can it really manage money without guidance?

This project is an attempt to find out — with transparency, data, and a real budget.

Spoiler. No it cannot.

_{Quote Citation: Nathan Smith, “LuckyOne7777/ChatGPT-Micro-Cap-Experiment: This repo powers my blog experiment where ChatGPT manages a real-money micro-cap stock portfolio.”, Ongoing, https://github.com/LuckyOne7777/ChatGPT-Micro-Cap-Experiment}

Altman illustrated the productivity revolution with a personal example. He described using an upcoming OpenAI model to complete a complex home automation programming task that would have taken him “days to do” before AI assistance.

The AI completed “almost all of the work” in just “5 minutes,” he said. A year ago, “you would have paid a very high-end programmer 20 hours, 40 hours something like that to do” the same task. With AI, it cost “probably less than a dollar’s worth of compute tokens.”