Looking back at
my last post "Mythos: Threat, Menace, or Just More Bullshit Hype?", we have a winner: "Just More Bullshit Hype". From Gary Marcus (as usual):
Three reasons to think that the Claude Mythos announcement from Anthropic was overblown
No need to panic just yet
Next, from me, an anecdote. I flew up last Thursday to visit my son & his family in Cary, NC. There didn't used to be any non-stop flights - there may be now, on Breeze Airways - my return flight was non-stop, RDU to RSW (Fort Myers FL). I usually flew on American, changing planes in Charlotte, NC, but the layover was only 40 minutes, &, in my increasing aversion to any drama, I decided to fly Delta through Atlanta, w a 2.5 hr layover. I had lunch at a nice piano bar, really good player. Nice spinach salad.
Waiting to board in Fort Myers, they called for carry-on bags to be gate checked through to your final destination. I'm like, sure, I'm happy to not have to fool with my bag in Atlanta airport.
In Atlanta, after my very nice lunch, I'm waiting to board. I'm in zone 6. They're boarding zone 4 & they announce, "All overhead bins are full, all carry-on bags must be gate checked." So I'm glad I did it in Fort Myers.
I get on the plane, the overhead bins are 2/3 empty!!! I ask a flight crew member, "Why did they say these were full?". They replied, "A computer algorithm determines when we make that announcement."
Seriously, WTF! Somebody using AI? For something involving physical things in the physical world? LLMs aren't good at anything but words.
We are going to see more & more of this, systems that are completely crappy, that don't work as often as they do, or more often than they do. LLMs, FTL! I feel that there is maybe a 50% probability that LLM use will eventually shut down large parts of the economy. Time frame, 2-3 years.
Another anecdote from me, on a more general bullshit topic. I made a little progress on my review/summary of David Graeber's "Bullshit Jobs". Spoiler alert: my current working conclusion is that "Bullshit Jobs" is bullshit - a monument to selection bias.
So I was chatting with an early 30 YO manager of a team of financial analysts working for a large insurance company. Graeber identified financial analysts as having a job that was usually bullshit. I asked them "Do you have a bullshit job?"
They replied (paraphasing):
No I don't think I have a bullshit job. I think we produce some useful results.
But, do I have to deal with tons of corporate bullshit? Of course I do! I work for a big corporation, the bigger the corporation, the more corporate bullshit you have to deal with.
So maybe "Bullshit Jobs" isn't a problem with jobs, it's a problem with corporations. Per Doctorow, corporations are "immortal colony organisms that treat human beings alternately as a source of nutrients or a form of inconvenient gut flora." Surprising that working in such an environment involves mass quantities of bullshit - NOT!
The young analyst also told me, they were under a lot of pressure to try & integrate LLMs into their workflows. Any pushback on this was treated as recidivism, & was severely career-limiting.
Finally, more from Gary Marcus. Claude Code may implement old school AI! FTW!
The biggest advance in AI since the LLM
Why Claude Code changes everything
...
The source code leak proves it. Tucked away at its center is a 3,167 line kernel called print.ts.
print.ts is a pattern matching. And pattern matching is supposed to be the *strength* of LLMs.
But Anthropic figured out that if you really need to get your patterns right, you can’t trust a pure LLM. They are too probabilistic. And too erratic.
Instead, the way Anthropic built that kernel is straight out of classical symbolic AI. For example, it’s in large part a big IF-THEN conditional, with 486 branch points and 12 levels of nesting — all inside a deterministic, symbolic loop that the real godfathers of AI, people like John McCarthy and Marvin Minsky and Herb Simon, would have instantly recognized.
Putting things differently, Anthropic, when push came to shove, went exactly where I have said for 25 years that the field needed to go: to Neurosymbolic AI.
That’s right, the biggest advance since the LLM is neurosymbolic. AlphaFold, AlphaEvolve, AlphaProof, and AlphaGeometry are all neurosymbolic, too; so is Code Interpreter; when you are calling code, you are asking symbolic AI to do an important part of the work.
So, there is more to getting real, working AI than the statistical "autocomplete-on-steriods" LLMs? Well, DUH!
Here's the home page/directory for my posts on Bullshit. This is post #115.