So it has been for 10+ years, so it will be at least 5 more.
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Because inner peace and contentment are overrated.
So it has been for 10+ years, so it will be at least 5 more.
My experience (using a mix of Copilot & Cursor through every day) is that AI has become very capable of solving problems of low-to-intermediate complexity. But it requires extreme discipline to vet the code afterward for the FUD and unnecessary artifacts that sneak in alongside the "essential" code. These extra artifacts/FUD are to my mind the core of what will make AI-generated code more difficult to maintain than human-authored code in the long-term.
We hope it leads dev teams, and AI Assistant builders, to adopt measurement & incentives that promote reused code over newly added code. Especially for those poor teams whose managers think LoC should be a component of performance evaluations (around 1 in 3, according to GH research), the current generation of code assistants make it dangerously easy to hit tab, commit, and seed future tech debt. As Adam Tornhill eloquently put it on Twitter, "the main challenge with AI assisted programming is that it becomes so easy to generate a lot of code that shouldn't have been written in the first place."
That said, our research significance is currently limited in that it does not directly measure what code was AI-authored -- it only charts the correlation between code quality over the last 4 years and the proliferation of AI Assistants. We hope GitHub (or other AI Assistant companies) will consider partnering with us on follow-up research to directly measure code quality differences in code that is "completely AI suggested," "AI suggested with human change," and "written from scratch." We would also like the next iteration of our research to directly measure how bug frequency is changing with AI usage. If anyone has other ideas for what they'd like to see measured, we welcome suggestions! We endeavor to publish a new research paper every ~2 months.
Notion is the obvious one: https://noteapps.info/note_apps/disambiguate/evernote-vs-not...
Amplenote was heavily inspired by early Evernote: https://noteapps.info/note_apps/disambiguate/evernote-vs-amp...
Reflect is another up and comer: https://noteapps.info/note_apps/disambiguate/evernote-vs-ref...
And of course Obsidian has its many evangelists, though the sharing situation with Obsidian leaves something to be desired.
My sense after reading the article and the wikipedia "Hard problem of consciousness" page is that consciousness is an evolved biological phenomenon that makes intelligent entities stateful. Being stateful is very useful from an evolutionary standpoint. Firstly it lets us pick through & prioritize long-term state. Secondly because it imbues the will to continue maintaining said state. The second is what makes consciousness a dicey prospect to aspire to w/ AI.
While the author asserts that consciousness and intelligence are separate concepts that can develop separately, I'm less sure. It seems plausible that intelligence/problem solving is always improved by having state. And more durable with state. That's presumably why evolution brought it along.
But we already have AI agents like Bard that build a history of responses akin to state. If "recognizing consciousness" is what happens when the speaker becomes aware of their state and able to meta-optimize it, then it seems that consciousness wouldn't ever travel too far behind intelligence.
Have Musks changes have been net positive or negative? No shortage of internet opinion on that Q. Regardless of one’s personal feelings on it, it seems hard to dispute that Twitter moves faster than before. I consider that no small feat given how much legacy code and bureaucracy the company had at the time of his acquisition.
If he can free more of his time by making this hire, I am looking forward to seeing whether that translates to even faster iteration times. pg and all the others I followed are still there, so still plenty of potential to create quality entertainment/learning w less regret than Facebook
If I'm correct that PR review is currently much less efficient than it will be soon, it won't be because I'm smart or this is a new idea. It would just be because our company has spent last five years building code review tools, right place right time. Eventually there was enough infrastructure accumulated (and ambient events unfolding, ie OpenAI) that it became a small step to pass the edge of what PR review meant circa 2022.
Maybe a class action possibility here?
As the owner of a (much, much) smaller company, I'm inspired by how the Collisons run their business, especially under adverse circumstances. Yes, they fucked up in estimating the future market, but they are in good company among CEOs and non-CEOs lately.
What might be most interesting about the new set of fast moving note apps is that all seem to be built by teams of 3 or less people. Obsidian seems to have ascended to the top of the heap with a team of three and no apparent VC funding. Anyone that roots for small companies and passionate programmers should appreciate Obsidian proving that the best tools don't have to be built by the biggest teams. More the opposite.
Cal Newport is the only contemporary personality I know of that advocates for getting more done, but his method still conforms to the zeitgeist, in that his "get more done" is more precisely "get more important stuff done by doing less overall."
Perhaps this is the natural evolution that occurs when a country has reached sufficient wealth where contributing gains to per capita GDP just ain't inspiring to a comfortable generation? It's interesting to try to contextualize the current popularity of anti-productivity literature vs what has come before it.
As a fellow developer/owner, this is the mantra I'm always repeating.
Is running a small software biz a great job? Meh. The job has higher highs and lower lows than when I was a dev for other companies.
At the end of the day, there's no better way to make sustained progress on groundbreaking, long-term dev projects than to run a company that dedicated to building such projects. If one is fortunate enough to find a stable cash source (like Tarsnap), it serves as a perpetual license to work on the most interesting dev projects one can fathom succeeding at.
That’s what I thought too until I actually started trying to solve the problem. Could you offer a more specific prescription for how you would go about taking the touchpad experience of ChromeOS and getting it shipped in a Linux context, if you were running this project? You seem baffled that this has not been solved yet, which makes me wonder if you know something that we don’t about the specifics of how Google’s source for ChromeOS touchpad could be trivially co-opted?
It's OK, come out $XB fintech founders, it's safe for your temp accounts here...at least until the moderators get here and start checking the IP addresses.
Twitter is already taking steps to get less unpleasant. Having a thoughtful tech-oriented CEO work on their issues full time ought to go a long way toward accelerating their progress, if Microsoft is any example.
In our company's culture of few meetings, about 90% of the time I received a Slack message "Can we chat when you have a quick minute?" it was indeed the employee quitting. Eventually I would just respond in Slack to confirm they wanted to quit, so we could skip the dog & pony show that is assumed to be necessary for a "proper resignation," which I don't think employee nor manager enjoys.
That said, Obsidian is in rareified air among the third gen note apps. The pace of evolution is right up there alongside Craft and Amplenote, where almost every week there is some interesting new wrinkle being added. I can’t wait to see how productive we will become in the next 10 years as these tools let us leverage our brains far beyond what has been historically possible.
“The best way to predict the future is to invent it”
“Never attribute to malice what can be adequately described by stupidity.”
Most KPIs stop working when they become a target but there are a few that resist it.