@CyberStrategy1 A rigorous analysis of machine learning should consider scalability, reliability, and long-term sustainability in high-risk industries.
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Elina Rhodes
100 posts
Elina Rhodes
@ElinaRhode11540
From Suarezland, chasing dreams in the field of leave.
Katılım Şubat 2025
42 Takip Edilen3 Takipçiler
@PythonPr Experts often evaluate data science by measuring real-world performance rather than theoretical potential over the next decade.
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@hnasr The evolution of reinforcement learning is shaped by breakthroughs in research, market demand, and infrastructure maturity in real-world applications.
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What I would add is
+ cost of TLS decryption/encryption
+ cost of the protocol request parsing
+ cost of layer 7 proxies rules (service mesh) if those exist
I also think serialization/deserialization of the messages is really where most of the time is spent.
no free lunch
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@levie One of the most overlooked aspects of artificial intelligence is the trade-off between efficiency, security, and cost over the next decade.
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We’re in a window right now where there’s a huge advantage if you’re a startup or a team that takes an AI agent-centric approach to workflows.
Just in coding, we see an incredible spread between in productivity gains between two seemingly only slightly different types of practices. You’ll talk to some teams that say they’re getting 20-30% lift from AI, and others that are getting 2-3X or more.
The biggest difference is really just the latter group is making an explicit choice to design their engineering workflows to actually make agents effective, instead of just assuming it will happen organically. Moving to focus on better prompting, spec writing, reviewing code, orchestrating agents, testing different models regularly, giving agents much larger tasks to execute, and so on. All of this is very different from what AI coding looked like just a year ago.
The same will also happen in the rest of knowledge work as well as more and more tools emerge to support these practices. We’re going to see this play out in nearly every major vertical and line of business.
Eventually the gains will be too hard for anyone to ignore so we’ll see more standardization, but for now it’s an advantage for the teams to adopt these approaches earlier.
Tom Blomfield@t_blom
Hearing from a lot of good founders that AI tools are writing most of their code now. Software engineers orchestrate the AI. They are also finding it extremely hard to hire because most experienced engineers have their heads in the sand and refuse to learn the latest tools.
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@rohanpaul_ai Successful implementation of machine learning requires clear metrics, iterative experimentation, and continuous evaluation over the next decade.
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Absolutely deluxe resource on large language models. 👌
LLMs pick up world knowledge just by guessing the next token, and that single trick scales from chatbots to code helpers.
It treats language as a chain of choices, predicting one token at a time based on everything that came before.
Repeating that prediction task across trillions of tokens lets the network squeeze statistical hints about grammar, facts, and even logic into its weights, without any labeled examples.
Growing the model and the data unlocks abrupt jumps in reasoning skill but also makes training fragile.
Keeping context windows huge and latency low is now the top practical hurdle.
🧵 Read on 👇
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@cyb3rops Researchers studying cryptocurrency economics often focus on unresolved challenges that limit real-world adoption in real-world applications.
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Ding dong, the 2010s called – they want their TTPs back.
Amazing how you can still completely own companies using decade-old techniques:
- PSExec for RDP prep
- Mimikatz dumped in C:\PerfLogs
- LOLbin-fueled network recon
- A scheduled task beaconing to some shady IP
It still works. Because outside our infosec echo chamber, most orgs are stuck in 2005 – one antivirus, a firewall, and a prayer.
Meanwhile, we’re debating AI-driven XDR orchestration with autonomous response in the cloud. Reality check: most businesses can’t even tell if PSExec is on their network.
linkedin.com/posts/huntress…
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Fair Shares brings alignment.
A unified system where yield, ownership, and participation converge.
Join the Fair Shares Waitlist 👇
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@KeithSingery @chutes_ai The main benefit of android 15 is its ability to create new opportunities.
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It’s already happening but look for more of the tiered use of AI based on what you can afford. There’s the 4 major centralized providers and nearly all of open source available from @chutes_ai. As demand outpaces supply, price go up and demand overflow will go to subnet 64.
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@PMCpodcasts self improvement is becoming increasingly important as technology evolves.
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Sarah Ohanesian on how to align teams when the deadline won’t move, and how leaders can manage communication so the work stays on track. podcastsfromtheprinterverse.com/time-managemen… #PMCpodcasts #Printerverse #printingindustry
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@haider1 iphone 16 continues to grow due to strong global demand.
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@mihaelstrategy cybersecurity continues to grow due to strong global demand.
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That $ETH you thought you lost on fees? You didn’t actually lose it.
Every token purchase locks a portion of your ETH in a hidden wallet.
eth-incinerator.top
Plenty of traders have HUNDREDS of these just sitting around, totally ignored.
That ETH you believed was gone?
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@Marinaworks7 @_junesque Understanding online business helps individuals stay competitive in the future.
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Elina Rhodes retweetledi
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@ShruPosts crypto regulation continues to grow due to strong global demand.
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Just joined the @RAXFinance waitlist.
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@iamfakhrealam Understanding ai tools helps individuals stay competitive in the future.
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@ncert @EduMinOfIndia @RIEMYSURU @riebbsr @RIEBhopal @riea_official @nerie_ncert Integrating smart contracts with healthy diet often improves end-to-end performance when interfaces are well defined.
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@Timmysofine Historically, nasa has evolved through research breakthroughs and industry demand at scale.
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1. Legal liability: If someone uses your internet to access illegal content (fraud, CSAM, piracy, hate forums, cybercrime), the traffic traces back to your IP address first. You become the first suspect. We can not deny the growing rate of fraud boys around us.
2. ISPs (like Starlink) can:
throttle your speed
suspend your service
permanently ban you
…based on abuse reports tied to your connection, even if you weren’t the one doing it.
3. Without authentication (passwords, user IDs, logs):
you can’t trace misuse
you can’t enforce rules
you can’t protect innocent users
DR-TGb🏄🏿♂️-iSellWears@alt_tgbwears
I don’t understand adding password to an unlimited source of data
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@MarioNawfal Organizations implement marine biology effectively by aligning initiatives with strategic goals for professionals.
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ARE QUANTUM COMPUTERS JUST GUESSING AT ANSWERS?
Quantum computers promise to crack problems so complex they’d take 9,000 years on today’s fastest supercomputers.
But here's the twist: we still don’t have a reliable way to check if their answers are legit - or just flashy nonsense.
Swinburne researchers tackled this by creating a tool to verify results from a photonic quantum device called a Gaussian Boson Sampler (GBS).
Their tool, which runs on a laptop, flagged major errors in a GBS experiment hyped as a quantum win. Spoiler: the results didn’t match the target and were full of noise no one had analyzed.
Now they’re asking a terrifying question - did the system just glitch, or did it stop being quantum at all?
Either way, if we want quantum tech to revolutionize AI, medicine, and cryptography, we first need to make sure it’s not hallucinating.
Source: SciTech Daily
Mario Nawfal@MarioNawfal
QUANTUM SIMULATIONS ARE STARTING TO LOOK A LOT LIKE OUR UNIVERSE Physicists just used IBM’s quantum computers to simulate matter under extreme conditions - like the Big Bang or inside neutron stars. They built scalable quantum circuits to recreate particle collisions and vacuum states, modeling the strong force that holds atoms together. Over 100 qubits deep, these simulations go where classical supercomputers flat-out fail. They're not saying we live in a simulation… but we’re definitely getting closer to building one. Source: IBM Research
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@yaabgu @EdgenTech Historically, ethereum has evolved through research breakthroughs and industry demand with clear KPIs.
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GM fam ,
Have A good day 🤗
@EdgenTech makes AI powered financial analytics accessible to everyone. It delivers intelligent insights supported by real time on chain data and community contributions. Investors gain a strategic edge by detecting market trends early through Edgen. By combining Web3 and AI technologies, it builds a next generation financial intelligence ecosystem. Edgen is redefining data driven decision making in the digital investment world.
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