> Blitzhires are another form of an acquisition.. not everybody may be thrilled of the outcome.. employees left behind may feel betrayed and unappreciated.. investors may feel founders may have broken a social contract. But, for a Blitzhire to work, usually everybody needs to work together and align. The driver behind these deals is speed. Maybe concerns over regulatory scrutiny are part of it, but more importantly speed. Not going through the [Hart-Scott-Rodino Antitrust Act] HSR process at all may be worth the enormous complexity and inefficiency of foregoing a traditional acquisition path.
From comment on OP:
> In 2023–2024, our industry witnessed massive waves of layoffs, often justified as “It’s just business, nothing personal.” These layoffs were carried out by the same companies now aggressively competing for AI talent. I would argue that the transactional nature of employer-employee relationships wasn’t primarily driven by a talent shortage or human greed. Rather, those factors only reinforced the damage caused by the companies’ own culture-destroying actions a few years earlier.
2014, https://arstechnica.com/tech-policy/2014/06/should-tech-work...
> A group of big tech companies, including Apple, Google, Adobe, and Intel, recently settled a lawsuit over their "no poach" agreement for $324 million. The CEOs of those companies had agreed not to do "cold call" recruiting of each others' engineers until they were busted by the Department of Justice, which saw the deal as an antitrust violation. The government action was followed up by a class-action lawsuit from the affected workers, who claimed the deal suppressed their wages.
Is it? This whole piece just reads of mega funds and giga corps throwing ridiculous cash for pay to win. Nothing new there.
We can’t train more people? I didn’t know Universities were suddenly producing waaaay less talent and that intelligence fell off a cliff.
Things have gone parabolic! It’s giga mega VC time!! Adios early stage, we’re doing $200M Series Seed pre revenue! Mission aligned! Giga power law!
This is just M2 expansion and wealth concentration. Plus a total disregard for 99% of employees. The 1000000x engineer can just do everyone else’s job and the gigachad VCs will back them from seed to exit (who even exits anymore, just hyper scale your way to Google a la Windsurf)!
zer00eyz•2h ago
The fact that the author brings this up and fails to realize that the behavior of current staff shows we have hit or have passed peak AI.
Moores Law is dead and it isn't going to come through and make AI any more affordable. Look at the latest GPU's: IPC is flat. And no one is charging enough to pay for running (bandwidth, power) of the computer that is being used, never mind turning NVIDA into a 4 trillion dollar company.
> Meta’s multi-hundred million dollar comp offers and Google’s multi-billion dollar Character AI and Windsurf deals signal that we are in a crazy AI talent bubble.
All this signals is that those in the know have chosen to take their payday. They don't see themselves building another google scale product, they dont see themselves delivering on samas vision. They KNOW that they are never going to be the 1% company, the unicorn. It's a stark admission that there is NO break out.
The math isnt there in the products we are building today: to borrow a Bay Area quote there is no there there. And you can't spend your way to market capture / a moat, like every VC gold rush of the past.
Do I think AI/ML is dead. NO, but I dont think that innovation is going to come out of the big players, or the dominant markets. Its going to take a bust, cheap and accessable compute (fire sale on used processing) and a new generation of kids to come in hungry and willing to throw away a few years on a big idea. Then you might see interesting tools and scaling down (to run localy).
The first team to deliver a model that can run on a GPU alongside a game, so that there is never an "I took an arrow to the knee" meme again is going to make a LOT of money.
Avicebron•2h ago
"Local Model Augmentation", a sort of standardized local MCP that serves as a layer between a model and a traditional app like a game client. Neat :3
ythiscoyness•1h ago
Plenty out there who want authors like this believing it enough to write it
harimau777•1h ago
asdf6969•43m ago
nopinsight•41m ago
Kapura•1h ago
this feels like a fundamental misunderstanding of how video game dialogue writing works. it's actually an important that a player understand when the mission-critical dialogue is complete. While the specifics of a line becoming a meme may seem undesirable, it's far better that a player hears a line they know means "i have nothing to say" 100 times than generating ai slop every time the player passes a guard.
zer00eyz•1h ago
Factorio, Dwarf Fortress, Minecraft.
There are plenty of games where the whole story is driven by cut scenes.
There are plenty of games that shove your quests into their journal/pip boy to let you know how to drive game play.
Dont get me wrong, I loved Zork back in the day (and still do) but we have evolved past that and the tools to move us further could be there.
Kapura•24m ago
Dwarf Fortress, in fact, shows just how much is possible by committing to deep systemic synthesis. Without souped-up chatbots Dwarf Fortress creates emergent stories about cats who tread in beer and cause the downfall of a fortress, or allow players to define their own objectives and solutions, like flooding a valley full of murderous elephants with lava.
My original point is that papering over important affordances with AI slop may actually work against the goals of the game. If they were good and fun, there is no reason a company like Microsoft couldn't have added the technology to Starfield.