I have the impression that for hiring this is fundamentally the most important aspect: Finding a prospect that is just skilled enough for the position without being a risk to the person who is hiring them.
Maybe you haven't noticed that the "Bitter Lesson" had itself a "Bitter Lesson" - that scaling pure data and compute did not lead to AGI: diminishing training returns, GPT-5 disappointment, even openAI stating it was the last 'pure scale' model.
The path forward all big llm providers ("ai" labs) have gone is neuro-symbolic (even though they publicly would never labeled it as such to not admit critics like Gary Marcus were right - even though all their actions actually point in that direction).
I think me just means neural network models RLed to Chain of Thought reasoning? The thinking tokens are the symbolic bit.
Smolensky's latest paper posted here the other day has some thoughts on how modern neural networks might beconsidered neurosymbolic, or rather "gradient symbolic processing," from another perspective entirely.
I wouldn't say the bitter lesson has given out! If you haven't noticed, these things keep getting bigger and bigger.
also the new war-profiteers are profiting from a war a certain family member started.
> NEW YORK (AP) — Among dozens of companies competing for Pentagon contracts to supply attack drones, one stands out.
> Powerus is flush with cash and ballooning in size as it buys up rivals and has one other advantage: It is partly owned by President Donald Trump’s two oldest sons.
> The latest Trump venture is hoping to win some of the $1.1 billion set aside by the Pentagon to build up a U.S. manufacturing base for armed drones now that the Trump administration put a ban on importing them from China.
also the new war-profiteers are profiting from a war a certain family member started
this is true but it's also kind of falling into a trap.
first, the weird endless hunger that man has for any and all spotlights draws attention away from the policy issues and rampant criminality, which are a lot more important than his personality problems.
second, he was causing chaos overseas with military in his first administration too. Silicon Valley wasn't all-in on that.
third, Anduril, Palantir, et al represent a consistent philosophy of how the Valley takes over the military-industrial complex. they come from the same financial backer, Thiel, who also put a lot of money behind Trump. so we got a paper here about the real issue, and if we're shifting our attention from that to this clown who kind of just works for Thiel (among other, even more dubious possible bosses), the risk is that the conversation transitions from substance to gossip.
Altman needs 'innovations' for his IPO - it's not of any consequence to him that they are not oAI's as long as they can be sold among openAi's social-media propaganda ring which the gullible press feeds off.
> Apple IMO is just trying to capitalize on this phenomenon and capture the pretentious luxury market.
Yes, that aligns with Apple offering their ridiculous golden watch faces and bands of $1000s for their Watch - it's all just about projecting wealth and 'success' (i.e. in these days of capitalism: mostly exploiting others and/or making them depended).
The big LLM providers, desperate for good PR before their IPOs, are all actively looking for 'almost finished' hard problems, e.g. where the conceptual / creative parts are almost done and they only need to throw their VC-backed resources at to brute-force through the remaining computationally expensive problem (lean, etc) and claim 'they have solved it'.
It's an utterly disrespectful, exploitive process, but all in line with exploitative predator capitalism of the stock market and big companies, now exploiting the knowledge / academia domain for scraps with a thin veneer of 'for science' PR.
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