One of the things that hasn’t been talked about with Elizabeth Holmes:
She was created in the era of the Ted Talk Entrepreneur.
Between 2011-2015 (after the release of the Social Network), there was an entire apparatus built around “Child Prodigies”: college accelerators, young entrepreneur organizations, etc.
I watched countless founders of hard tech companies present fraudulent products at conferences. They had fake studies with fudged numbers. Most of the adults in the room excused it as “faking it ‘til you make it.” But Holmes was the one who rode the wave better than anyone else.
When the Ted Talk Era came to an end and people finally came to their senses, she was still running the same playbook—and in the most scrutinized field there is: medical technology.
When people ask how she got so far, it’s largely explained by the period she did it in. And she got caught when the world suddenly woke up.
the coding agent haters are getting dunning-kruger'd so hard right now
do you really think that your engineering ability is better than the models at this point?
it is very very likely that fable is better than you in every branch of software
it has been trained on all the code of the internet, it knows almost every trick in the book, all the design patterns of every domain, every single low-level detail, every bit-twiddling hack, it's read every single blog post from every cracked engineer that ever existed
do you really think you can beat it? do you really think you can be more creative than it?
unless you are 99th percentile expert in some niche domain of software, it simply is not possible. sorry.
Been nibbling on a Zig Gameboy emulator for a couple weeks. MiSTer (Verilog) used to describe the hardware behavior, falling back to SameBoy (C) for a reference implementation. Tested against Acid2, Blargg, and Mooneye. Mostly 6 Sol and Opus 5.5; open-weight models were not good.
@antirez@mitsuhiko With a proper Clang tidy linter and Criterion test setup you can go very far with C. I think Zig is a very LLM-friendly syntax (because it is human-friendly) and toolchain, but the language isn't stable, so your agent will burn tokens figuring out what changed from 0.15 to 0.16.
Jev may have its (narrow) use cases but the hype you see around is the perfect representation of the fact the greatest part of the AI bubble don't know what is important and what is not. Jev is a minor thing happening on AI compared to all the rest, yet the hype exploded.
Capitalism has proved so successful at reducing poverty that socialists had to create the concept of “relative poverty” to keep themselves in business.
@_lopopolo I think it’s become like a right of passage to create your own. Nobody has actually been able to say how their vibe coded TypeScript CLI is better than OpenAI Codex. They just seem to enjoy it because it makes them feel artisanal.
@LocasaleLab This also describes every public school teacher I’ve ever met at social gatherings. They brag about reading Guardian and Al Jazeera too, as if that makes them more cultured. Unsurprisingly, they are all AI doomers citing data center water myths.
@GergelyOrosz I think the current recurring use case is for video editors who need chill ambient royalty free background music for b-rolls. Could be useful for people who experiment with their own electronic music to generate samples they import into their DAW.
@rough__sea The precompiled binaries are on GitHub releases, like most popular Rust tools. I’ve also been strictly no NPM globals for years, so I suppose I’m more vigilant about this than most. My beef is they dropped gnu and only have musl for latest.