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RT @cdixon: We’re excited to share our 2025 State of Crypto report.
This year’s story: the maturation of the crypto industry — with growing institutional adoption, the rise of stablecoins, better infrastructure, new consumer experiences, and long-awaited regulatory clarity.
Read the full report → https://t.co/P3gzQphOEx
Here are the biggest trends of 2025…
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RT @cdixon: We’re excited to share our 2025 State of Crypto report.
This year’s story: the maturation of the crypto industry — with growing institutional adoption, the rise of stablecoins, better infrastructure, new consumer experiences, and long-awaited regulatory clarity.
Read the full report → https://t.co/P3gzQphOEx
Here are the biggest trends of 2025…
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Clark Square Capital
RT @TheAppInvestor: Ragnarok Online 3 license confirmed for China $GRVY. For reference, Ragnarok Online was the global success in 2002 that started it all. RO2 in 2012 did not live to its expectations. RO3 is planned for 2026. Recent game preview got 1.5M views in 6 days!
https://t.co/RdDI5v8sDD https://t.co/aRTKll8IP3
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RT @TheAppInvestor: Ragnarok Online 3 license confirmed for China $GRVY. For reference, Ragnarok Online was the global success in 2002 that started it all. RO2 in 2012 did not live to its expectations. RO3 is planned for 2026. Recent game preview got 1.5M views in 6 days!
https://t.co/RdDI5v8sDD https://t.co/aRTKll8IP3
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Ahmad
RT @308Greenfield: Post add on FB marketplace for free electronics = free VCR’s
Repair the VCR
Sell the VCR
SECURE THE GPU https://t.co/esDisgLITm
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RT @308Greenfield: Post add on FB marketplace for free electronics = free VCR’s
Repair the VCR
Sell the VCR
SECURE THE GPU https://t.co/esDisgLITm
29 GPUs.
My house now has 29 GPUs.
Before AGI arrives:
Acquire GPUs.
Go into debt if you must.
But whatever you do, secure the GPUs. https://t.co/2e7oYkWKcV tweet
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RT @InvestiAnalyst: Still debating agent vs. agentless? You’re asking the wrong question.
One of the most consistent debates in cloud security over the past five years has been around deployment models: agent vs agentless. It’s easy to treat this as a binary discussion, but the reality is far more nuanced and shaped heavily by evolving infrastructure and market dynamics.
The pivotal shift came when companies like Orca and Wiz introduced agentless scanning. By leveraging cloud APIs to snapshot disk volumes and extract workload data without installation, these solutions offered a dramatically simplified deployment path. It enabled faster time to value and minimized disruption to developer workflows, two major pain points for security teams.
The market responded. Agentless scanning gained traction not because it was inherently superior, but because it addressed real operational constraints. Visibility without friction.
However, this came with tradeoffs.
Agentless tools often struggle with ephemeral workloads like containers, which may only exist for seconds. They rely on static data and lack access to runtime behavior, things like process execution, file access, and in memory activity. As cloud environments grow more dynamic and containerized, this limitation becomes more apparent.
By contrast, agent based solutions offer deeper visibility. They allow real time detection and response, more precise telemetry, and granular insight into application layer behavior. While historically harder to deploy, recent improvements, like helm charts and ArgoCD-based automation, have lowered the operational burden significantly.
In short:
Agentless = low effort, faster deployment, broader initial visibility.
Agents = higher fidelity data, runtime insights, better suited to containers.
This isn’t about which is better universally, it’s about what fits your organization’s maturity, architecture, and goals. Many security teams begin with agentless tools to quickly gain context, then incorporate agents as they move toward runtime protection and deeper incident response capabilities.
Framing the right deployment model isn’t just a technical decision, it’s a strategic one.
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RT @InvestiAnalyst: Still debating agent vs. agentless? You’re asking the wrong question.
One of the most consistent debates in cloud security over the past five years has been around deployment models: agent vs agentless. It’s easy to treat this as a binary discussion, but the reality is far more nuanced and shaped heavily by evolving infrastructure and market dynamics.
The pivotal shift came when companies like Orca and Wiz introduced agentless scanning. By leveraging cloud APIs to snapshot disk volumes and extract workload data without installation, these solutions offered a dramatically simplified deployment path. It enabled faster time to value and minimized disruption to developer workflows, two major pain points for security teams.
The market responded. Agentless scanning gained traction not because it was inherently superior, but because it addressed real operational constraints. Visibility without friction.
However, this came with tradeoffs.
Agentless tools often struggle with ephemeral workloads like containers, which may only exist for seconds. They rely on static data and lack access to runtime behavior, things like process execution, file access, and in memory activity. As cloud environments grow more dynamic and containerized, this limitation becomes more apparent.
By contrast, agent based solutions offer deeper visibility. They allow real time detection and response, more precise telemetry, and granular insight into application layer behavior. While historically harder to deploy, recent improvements, like helm charts and ArgoCD-based automation, have lowered the operational burden significantly.
In short:
Agentless = low effort, faster deployment, broader initial visibility.
Agents = higher fidelity data, runtime insights, better suited to containers.
This isn’t about which is better universally, it’s about what fits your organization’s maturity, architecture, and goals. Many security teams begin with agentless tools to quickly gain context, then incorporate agents as they move toward runtime protection and deeper incident response capabilities.
Framing the right deployment model isn’t just a technical decision, it’s a strategic one.
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Ahmad
the madlad bought another GPU and NVLink
that setup is gonna be a treat, Buy a GPU keeps on winning
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the madlad bought another GPU and NVLink
that setup is gonna be a treat, Buy a GPU keeps on winning
@TheAhmadOsman What have I done.. https://t.co/TBeFllcRhr tweet
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RT @profplum99: The ~25 year return from the S&P500 from Sep 2000 is basically EPS growth + dividend yield. What bubble? https://t.co/rxidgtXrof
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RT @profplum99: The ~25 year return from the S&P500 from Sep 2000 is basically EPS growth + dividend yield. What bubble? https://t.co/rxidgtXrof
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Clark Square Capital
RT @ClarkSquareCap: Idea thread #2!
What's your favorite special situation? (Spin/m&a/etc any market cap).
Add a sentence explaining why you like it + valuation.
I will compile the responses and share them with everyone.
Please retweet for visibility. Thx in advance! 🙏
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RT @ClarkSquareCap: Idea thread #2!
What's your favorite special situation? (Spin/m&a/etc any market cap).
Add a sentence explaining why you like it + valuation.
I will compile the responses and share them with everyone.
Please retweet for visibility. Thx in advance! 🙏
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Clark Square Capital
RT @ClarkSquareCap: Idea thread #1!
What's your favorite Japanese stock? (Any market cap/style).
Add a sentence explaining why you like it + valuation.
As usual, I will compile the responses and share them with everyone.
Please retweet for visibility. Thx in advance! 🙏
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RT @ClarkSquareCap: Idea thread #1!
What's your favorite Japanese stock? (Any market cap/style).
Add a sentence explaining why you like it + valuation.
As usual, I will compile the responses and share them with everyone.
Please retweet for visibility. Thx in advance! 🙏
tweet