If you can look past the dated graphics, the OG Deus EX is by far the better game and one of the best games of all time. The writing and philosophy alone elevates the game to masterpiece status. They dumbed down down these core elements in sequels to focus on better graphics and simpler mechanics and these games are far worse for it.
Your particular interpretation of the author's choice in words tells us more about your psychological makeup than the author.
Take the "meta-cognition" advice to heart and perform some self-debugging in order to determine what exactly in your psyche made you react in this way.
This is not just false but egregiously wrong. The regular syntax of Lisp is a tremendous asset when it comes to LLMs being able to work directly in the image. If I had to score languages by how well they work with current LLMs, Common Lisp and Emacs Lisp would be at the very top.
It's not just the syntax, but also the tools for debugging, the image paradigm itself, and the iterative approach to development!
Autolith can spawn managed Lisp REPLs either from saved images (so it can do checkpoints) and triage changes before committing them to files, and then run test suites in the same REPL, it's been very useful for this.
Do you have any benchmarks for larger tasks? The best others here have claimed is that it's not strongly proven to be harmful when you look at benchmarks.
The Department of Defense has never received a clean opinion on a full financial audit. Since starting comprehensive yearly reviews in 2018, the Pentagon has failed eight consecutive enterprise-wide audits due to scale, missing records, and untrackable assets.
The only propaganda I see here is coming from those who are so out of touch of reality that they firmly believe there's a chunk of the uniparty that doesn't increase the deficit.
The author of Reticulum's take is that the implementation is the specification, so if another implementation works with the standard Python one and implements enough of it's features then it implements Reticulum.
I suppose it means it's easier to develop the protocol only having to update one Python codebase but it does mean other implementations are kinda in a state where there isn't anything to properly verify they work.
There's also a issue with quite a few vibe coded implementations that don't actually properly work filling the space.
There is a published spec, I built a clean-room implementation from it. And mine makes at least two Python implementations. The protocol itself is solid, the spec just isn't marketed.
Perhaps. But did democrats famously take a “chainsaw for ‘government waste’” to all major federal agencies? No. That was a handful of Republican edgelords.
These bootlicking cowards all play the same game. 6 years ago, none of these dipshits had any complaints about the FDA besides - maybe - that it was a bit slow approving new medications.
Then Trump 2.0 comes along and puts the known fascist and all-around shit heal musk in charge of gutting the federal government. Now the FDA isn’t working, USAID is gone, FEMA is a disaster, we’re critically short of air traffic controllers, and on and on it goes but anytime someone points out the obvious damage that the republicans have done the legion of drooling racists comes around to babble about how actually the FDA was broken the whole time. It’s insulting to anyone with a memory that isn’t wholly owned by Rupert Murdoch.
This reads like a critique of 2023 tooling published in 2026. Their Amdahl-style arithmetic (speed up a 14% slice, cap your gains at 14%) holds only if "AI" means autocomplete. Current frontier models do far more than that: research, code comprehension, review, test authoring, debugging, exploratory prototyping, ideation. That's most of the rest of the working day or "86%".
The only point that still holds is that organizational policies and procedures that automate AI use and lower the barrier to entry are more efficient than leaving it up to each individual. Every other point they make is either stale or was never true to begin with.
I can't think of any case where that's true. Einstein was recognized as a genius before his death. Most are recognized from childhood (Carl Friedrich Gauss, John Nash, Blaise Pascal, John von Neumann, etc.)
