๐จ BREAKING: Crypto Not a Challenger for Money
World in shock. Money has three jobs. Crypto does them all โ badly ๐
https://t.co/qcdFgJqfhL
Serious, rethink this โ signal doesn't have that latency.
We see your 20x and raise you... policy.
Twenty times cheaper to think means twenty times more agents going all-in.
The house edge was never the cards โ it's who sets the rules when they act.
If this is in any way accurate (the writer pulls no punches) then it might be time to reconsider the path forward:
"Everyone with even a modicum of sense has been predicting #OpenAI's self-inflicted demise for a while now. It is painfully obvious that this is not a sustainable business. Their product is insanely expensive and has basically no economies of scale, and while it might be impressive to a specific breed of narcissists and sycophants, it simply doesn't bring in enough cash to cover its ludicrous operational costs. OpenAI is more akin to a cash-hungry black hole than a sustainable business. Many, including myself, have predicted that it will go bankrupt soon. But it turns out OpenAI's ship is sinking significantly faster than even the most pessimistic predicted." ๐ https://t.co/ZEgxEPUu1j
Sitting round waiting for the industry to implode isn't much of a strategy ๐ https://t.co/h5XgRF8Ekn
The winner of the AI race doesn't need the best frontier model.
It only needs to integrate near-frontier AI faster into its economy, state apparatus and global distribution channels.
What should seriously worry Western AI companies is thatโ โChina already is.
China's State Council "AI+" adoption targets mandate it ๐ https://t.co/VKni3b0BCT
Follow for our upcoming Medium: "Exe Doesn't Just Solve a Unit Economics Problem" ๐ https://t.co/9zyiZCHArt
In the current AI economy the "unit" is typically one agent-task executionโ, โone API call, one workflow completion, one autonomous action.
Those economics risk imploding the industry.
#AI #AgenticAI #AIInfrastructure #Anthropic #Claude #AgenticEconomy #MachineLearning #TechNews
Capital access rails make agents fundable.
#ExeProtocol makes agent execution more efficient, policy-governed and economically circular.
The future institutional stack will need both: one layer controls capital while the other improves execution.
Thinking they're the same thing is the mistake โ it rebuilds legacy assumptions inside digital rails.
We're not making that mistake ๐ https://t.co/3g6mJl0tBI
#AI #AgenticAI #AIInfrastructure #Anthropic #Claude #AgenticEconomy #Baidu #ERNIE51 #MachineLearning #TechNews
@KumujJain Exactly our point. The models can only achieve their full potential if they can not only think at machine speed (which they do now) but also act at machine speed (which they are unable to do now). Enter Exe.
The agentic economy doesn't need cheaper compute.
It doesn't need better credit limits.
It doesn't need "free" models that end up costing a fortune in engineering and infrastructure.
It needs machine-speed execution autonomy in the form of the execution layer #ExeProtocol is building ๐ https://t.co/AZXqy3NaLb
#AI #AgenticAI #AIInfrastructure #Anthropic #Claude #AgenticEconomy #Baidu #ERNIE51 #MachineLearning #TechNews
Tech giants are not acting out of altruism ๐ https://t.co/m47Of6N5mX
Open-source and open-weight AI strategies are calculated to generate massive revenue, destroy competitors and secure market dominance.
None of which will happen without an agentic economy that can act at machine speed.
#AI #AgenticAI #AIInfrastructure #Anthropic #Claude #AgenticEconomy #Baidu #ERNIE51 #MachineLearning #TechNews
Thunder is impressive hardware.
But shiny new weapon systems only get us so far.
Best the US and its allies learn this and course-correct โ now rather than later when a game of catch-up becomes our defense strategy.
In the "robotic kill zone," the bottleneck isn't payload capacity or range โ it's execution latency.
Every autonomous platform Anduril builds detects and decides at machine speed, then waits for human permission to act.
The OODA loop compresses to milliseconds on the sensor side, then stretches to minutes on the authorization side. That's not maneuver dominance โ that's maneuver potential, degraded at birth by human-speed command.
The missing layer isn't rotorcraft. It's deterministic, policy-governed execution infrastructure that allocates scarce kinetic assets at machine speed without per-action human approval.
We are building that layer.
The modern battlefield is a robotic kill zone.
Attack helicopters and their crews face more sophisticated threats than ever before.
In this new era of maneuver warfare, we need eyes for whatโs ahead and a shield for what we canโt afford to lose.
Thunder is a Group 5 autonomous attack rotorcraft, equipped with the payload capacity, range and speed required to deliver overwhelming effects to the deepest, most heavily-defended parts of the battlefield.
A first of its kind for attack aviation. A thunderous step forward for maneuver dominance.
The West cannot financialize execution forever.
The token credit system is already cracking.
Users canceling subscriptions after one day.
Enterprises discovering that metered AI is more expensive than the headcount they fired.
Developers migrating to cheaper models only to find the same credit wall waiting for them.
When the financialization reaches its limit, the West will be left with a sophisticated credit economy that still requires human capital to fund every machine action.
If you haven't spotted it yet that is losing the AI race not winning it ๐ https://t.co/AZXqy3NaLb
#AI #AgenticAI #AIInfrastructure #Anthropic #Claude #AgenticEconomy #Baidu #ERNIE51 #MachineLearning #TechNews