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Investing in American quantum leadership like never before.
President Trump signs executive orders on quantum, supercharging a national effort in innovation in quantum technologies, ensuring national security and continuing American growth in a critical industry. π»πΊπΈ
$IONQ, $RGTI, $INFQ, $QBTS, $IBM, $GOOGL, $MSFT
President Trump signs executive orders on quantum, supercharging a national effort in innovation in quantum technologies, ensuring national security and continuing American growth in a critical industry. π»πΊπΈ
$IONQ, $RGTI, $INFQ, $QBTS, $IBM, $GOOGL, $MSFT
π₯2π1
Trump just signed executive orders to supercharge quantum in America. πΊπΈ
The names everyone's already pointing at are the usual suspects from the $2B CHIPS program: $IBM, $INFQ, $RGTI, and big tech like $GOOG.
And fair enough, those have been on everyone's radar for a while now.
But the whole theme of what Trump signed is one word: American.
Domestic machines, trusted domestic supply chains...
AMERICAN (Q)UANTUM DOMINANCE.
And here's the name almost nobody is connecting to this: $AMPG.
A few days ago, AmpliTech said this on LinkedIn, word for word:
"AmpliTech is the only U.S.-based manufacturer of cryogenic LNAs, a distinction that matters more and more as domestic supply chains become a priority across defense and quantum computing research procurement."
As we always say: obviously not the only one in the world. A Swedish firm, Low Noise Factory, is the global leader. But that's exactly the point.
What is the whole thing Trump just emphasized?
AMERICAN quantum dominance.
Trusted, domestic supply for defense and quantum.
And the global leader in these cryogenic amplifiers is Swedish.
Not American.
The entire policy push is about sourcing this exact kind of critical hardware at home, not from abroad.
AMPG builds these cryo amplifiers in the United States, and already ships them to the biggest names in quantum.
That is precisely the profile this order is designed to favor: a domestic maker of a hard, strategically critical component.
To be straight with you: AMPG is not named in the order or in the $2B program, and I won't pretend it is.
But it sits right inside the tailwind.
More American quantum machines, built on trusted domestic supply, means more demand for the American-made ears those machines need.
And here's the best part.
I think AMPG is undervalued on its 5G, Open RAN, and Open6G (with NVIDIA!!) business alone.
The only American 64T64R AI-RAN radio, deployed at a Tier-1 carrier, margins inflecting, debt-free.
The quantum side is the extra.
A free, and very juicy, piece of optionality at the exact moment the US government decides quantum sovereignty is a national priority.
You get the core telecom story.
The quantum tailwind is the bonus on top.
Not financial advice. I'm long $AMPG. DYOR. π‘
The names everyone's already pointing at are the usual suspects from the $2B CHIPS program: $IBM, $INFQ, $RGTI, and big tech like $GOOG.
And fair enough, those have been on everyone's radar for a while now.
But the whole theme of what Trump signed is one word: American.
Domestic machines, trusted domestic supply chains...
AMERICAN (Q)UANTUM DOMINANCE.
And here's the name almost nobody is connecting to this: $AMPG.
A few days ago, AmpliTech said this on LinkedIn, word for word:
"AmpliTech is the only U.S.-based manufacturer of cryogenic LNAs, a distinction that matters more and more as domestic supply chains become a priority across defense and quantum computing research procurement."
As we always say: obviously not the only one in the world. A Swedish firm, Low Noise Factory, is the global leader. But that's exactly the point.
What is the whole thing Trump just emphasized?
AMERICAN quantum dominance.
Trusted, domestic supply for defense and quantum.
And the global leader in these cryogenic amplifiers is Swedish.
Not American.
The entire policy push is about sourcing this exact kind of critical hardware at home, not from abroad.
AMPG builds these cryo amplifiers in the United States, and already ships them to the biggest names in quantum.
That is precisely the profile this order is designed to favor: a domestic maker of a hard, strategically critical component.
To be straight with you: AMPG is not named in the order or in the $2B program, and I won't pretend it is.
But it sits right inside the tailwind.
More American quantum machines, built on trusted domestic supply, means more demand for the American-made ears those machines need.
And here's the best part.
I think AMPG is undervalued on its 5G, Open RAN, and Open6G (with NVIDIA!!) business alone.
The only American 64T64R AI-RAN radio, deployed at a Tier-1 carrier, margins inflecting, debt-free.
The quantum side is the extra.
A free, and very juicy, piece of optionality at the exact moment the US government decides quantum sovereignty is a national priority.
You get the core telecom story.
The quantum tailwind is the bonus on top.
Not financial advice. I'm long $AMPG. DYOR. π‘
β1
We are probably going to see an AI model used to break into major intelligence networks sooner than people think.
Imagine one model getting access to classified knowledge across agencies, contractors, diplomats, satellites, cyber units, archives.
That kind of information would be insane leverage.
My guess is that the US is doing this already.
Imagine one model getting access to classified knowledge across agencies, contractors, diplomats, satellites, cyber units, archives.
That kind of information would be insane leverage.
My guess is that the US is doing this already.
When is Google finally dropping Gemini 3.5 Pro?
Feels like everyone is waiting for the big comeback moment, but idk.
My fear is that it lands, benchmarks look decent, demos look shiny, and real world usage still feels weirdly underwhelming.
Google has insane talent and compute.
So why does it still feel like they are always almost about to cook?
Feels like everyone is waiting for the big comeback moment, but idk.
My fear is that it lands, benchmarks look decent, demos look shiny, and real world usage still feels weirdly underwhelming.
Google has insane talent and compute.
So why does it still feel like they are always almost about to cook?
π¨π Global One SI - Prompt
$MP/USD H2 #Indicator #Signal #Trading #GlobalOneAI
BofA Securities reiterates a Buy rating and $85 price target on $MP MP Materials despite fresh Chinese export controls.
The firm expects little to no operational disruption, noting the move only underscores MPβs unique strategic value to the US.
The firm expects little to no operational disruption, noting the move only underscores MPβs unique strategic value to the US.
π¨π Global One SI - Prompt
$MU/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI
Susquehanna maintains a Positive rating on $MU Micron Technology with a street high price target of $1,750.
Analyst notes that tight industry supply lines through 2027 ensure structural margin strength ahead of Wednesdayβs earnings.
Analyst notes that tight industry supply lines through 2027 ensure structural margin strength ahead of Wednesdayβs earnings.
$JBL acquisition of $INTC silicon photonics manufacturing business in late 2023 changed the game for the entire optical supply chain, directly triggering the massive value unlock we are seeing today for $SIVE and $ENAFF.
By absorbing $INTC pluggable modules division, $JBL established itself as a manufacturing leader for next-generation AI data centers.
However, $JBL still needed the core technology to power these modules.
This led to their massive 2026 collaboration with $SIVE, where $JBL integrated Sivers advanced laser arrays into their new 1.6-Terabit optical transceivers.
Because these high-speed modules require highly complex chip architectures to route light, $ENAFF plugs perfectly into this ecosystem with its specialized optical designs.
Ultimately, this connection is incredibly valuable because $JBL acts as the direct pipeline to major hyperscalers like $META and $MSFT.
By absorbing $INTC pluggable modules division, $JBL established itself as a manufacturing leader for next-generation AI data centers.
However, $JBL still needed the core technology to power these modules.
This led to their massive 2026 collaboration with $SIVE, where $JBL integrated Sivers advanced laser arrays into their new 1.6-Terabit optical transceivers.
Because these high-speed modules require highly complex chip architectures to route light, $ENAFF plugs perfectly into this ecosystem with its specialized optical designs.
Ultimately, this connection is incredibly valuable because $JBL acts as the direct pipeline to major hyperscalers like $META and $MSFT.
π¨π Global One SI - Prompt
#WTI U.S. Oil hits $73 The lowest since February 2026
#WTI Seeing lots of people claim "Oil has bottomed"
Like July 2022, the oil selloff isn't over... It's just beginning.
When they ask you why?... Just say "It's science" π
Like July 2022, the oil selloff isn't over... It's just beginning.
When they ask you why?... Just say "It's science" π
π¨π Global One SI - Prompt
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Sakana Fugu Ultra just beat the other models on visual polish in a live trading-desk coding test, got close to GLM 5.2, but at 17x the cost.
Test was done on atomic[.]chat, a desktop app that runs LLMs locally.
Fugu produced the richest interface, with multiple panels, watchlists, charts, tape-style activity, status labels, and a more finished product feel.
To note that Fugu Ultra is an orchestration layer that assembles and routes subtasks across a pool of models through one OpenAI-compatible endpoint.
So Fugu is a learned coordinator model inside a multi-agent system.
When you send a prompt, Fugu decides whether to answer alone or hand pieces of the job to other models, then it gathers the outputs and produces one final response.
Outputs:
Fugu Ultra β 22,225 t, $0.51
Opus 4.8 β 15,802 t, $0.31
GPT-5.5 β 11,474 t, $0.26
GLM 5.2 β 13,677 t, $0.03
atomic.chat
Test was done on atomic[.]chat, a desktop app that runs LLMs locally.
Fugu produced the richest interface, with multiple panels, watchlists, charts, tape-style activity, status labels, and a more finished product feel.
To note that Fugu Ultra is an orchestration layer that assembles and routes subtasks across a pool of models through one OpenAI-compatible endpoint.
So Fugu is a learned coordinator model inside a multi-agent system.
When you send a prompt, Fugu decides whether to answer alone or hand pieces of the job to other models, then it gathers the outputs and produces one final response.
Outputs:
Fugu Ultra β 22,225 t, $0.51
Opus 4.8 β 15,802 t, $0.31
GPT-5.5 β 11,474 t, $0.26
GLM 5.2 β 13,677 t, $0.03
atomic.chat
π¨βπ»1
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Anthropic CEO after some developer publicly shared free tricks that slash Claude Code token usage by 90%