Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Ever wonder why network engineers are ALWAYS obsessed with "Layer 7" when the TCP/IP model only has five layers? I’m breaking down the mystery of the Application Layer and why we still use the OSI model to describe it. #Networking #Layer7 #TCPIP #Cisco

NetworkChuck's profile picture

NetworkChuck

253,614 subscribers

17,145 Aufrufe • vor 1 Monat •via X (Twitter)

#Networking#Layer7#TCPIP#Cisco
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

There are five layers in the #AI architecture: the application layer, model layer, chip layer, infrastructure layer, and energy layer. India is working on all five layers and making good progress in each of them. On the application layer, India will probably be the supplier of services to the world - Union Minister Ashwini Vaishnaw at the WEF, speaking on India’s capabilities in AI-based solutions in services #WorldEconomicForum2026 #WEF26 #WEF2026
2:04

There are five layers in the #AI architecture: the application layer, model layer, chip layer, infrastructure layer, and energy layer. India is working on all five layers and making good progress in each of them. On the application layer, India will probably be the supplier of services to the world - Union Minister Ashwini Vaishnaw at the WEF, speaking on India’s capabilities in AI-based solutions in services #WorldEconomicForum2026 #WEF26 #WEF2026

PIB India

18,676 Aufrufe • vor 5 Monaten

BREAKING EXCLUSIVE: The Mystery Of Why Peter Thiel Is Obsessed With The Antichrist Has Been Solved!
12:03

BREAKING EXCLUSIVE: The Mystery Of Why Peter Thiel Is Obsessed With The Antichrist Has Been Solved!

Alex Jones

249,329 Aufrufe • vor 9 Monaten

Don't talk directly to a model. You can make your application 10x more flexible by simply adding one intermediate layer between your code and the model. This is the simplest trick you can use to improve the architecture of whatever you are building.
9:47

Don't talk directly to a model. You can make your application 10x more flexible by simply adding one intermediate layer between your code and the model. This is the simplest trick you can use to improve the architecture of whatever you are building.

Santiago

88,884 Aufrufe • vor 2 Monaten

"You can vibe code the creation of the contract. But the contract still has to get stored somewhere. It still has to get governed somewhere. It still has to have a retention policy and access controls." Aaron Levie spoke with Casey Newton on why the most agentic enterprise future still runs on governed, structured data and why that makes the content layer more critical than ever.
1:54

"You can vibe code the creation of the contract. But the contract still has to get stored somewhere. It still has to get governed somewhere. It still has to have a retention policy and access controls." Aaron Levie spoke with Casey Newton on why the most agentic enterprise future still runs on governed, structured data and why that makes the content layer more critical than ever.

Box

788,048 Aufrufe • vor 1 Monat

Jensen Huang told a room of global investors that AI is not one industry. It is five stacked on top of each other. Most people are investing in layer four and ignoring layers one through three entirely. He called it the five-layer cake. Layer one is energy. Jensen said this is the single greatest opportunity for the energy industry in a hundred years. The first time in a century that the grid in most countries can actually attract serious capital. Nuclear, solar, wind, hydrogen, it does not matter what form. If it produces energy, it gets funded. Siemens, GE Vernova, Mitsubishi. That is why they are all doing so well right now. Layer two is chips, computers, networking, and silicon photonics. Everything that processes the intelligence. Layer three is infrastructure. Land, power, buildings, data center operations. Every single one in short supply today. Layer four is the model layer. OpenAI, Anthropic. The layer everyone talks about. Layer five is applications. Every startup applying AI to financial services, legal, healthcare, logistics, transportation. Last year alone, a hundred billion dollars of venture capital went into this layer. The single largest VC year in the history of humanity. Then he said the number that stopped me cold. We are putting one trillion dollars into this five-layer cake this year. That sounds enormous. Jensen thinks the AI industry will eventually run at twenty trillion dollars per year. We are one trillion in of a twenty trillion dollar per year ecosystem. Most people watching AI are staring at layer four. Jensen was describing layers one through five as a single compounding system where every layer feeds the one above it. The people who understand that will invest differently than the people who do not.
4:50

Jensen Huang told a room of global investors that AI is not one industry. It is five stacked on top of each other. Most people are investing in layer four and ignoring layers one through three entirely. He called it the five-layer cake. Layer one is energy. Jensen said this is the single greatest opportunity for the energy industry in a hundred years. The first time in a century that the grid in most countries can actually attract serious capital. Nuclear, solar, wind, hydrogen, it does not matter what form. If it produces energy, it gets funded. Siemens, GE Vernova, Mitsubishi. That is why they are all doing so well right now. Layer two is chips, computers, networking, and silicon photonics. Everything that processes the intelligence. Layer three is infrastructure. Land, power, buildings, data center operations. Every single one in short supply today. Layer four is the model layer. OpenAI, Anthropic. The layer everyone talks about. Layer five is applications. Every startup applying AI to financial services, legal, healthcare, logistics, transportation. Last year alone, a hundred billion dollars of venture capital went into this layer. The single largest VC year in the history of humanity. Then he said the number that stopped me cold. We are putting one trillion dollars into this five-layer cake this year. That sounds enormous. Jensen thinks the AI industry will eventually run at twenty trillion dollars per year. We are one trillion in of a twenty trillion dollar per year ecosystem. Most people watching AI are staring at layer four. Jensen was describing layers one through five as a single compounding system where every layer feeds the one above it. The people who understand that will invest differently than the people who do not.

Ihtesham Ali

96,587 Aufrufe • vor 9 Tagen

🌌Create multi-layered Membership Cards or collections with Galaxis. 🌌How do you create amazing cards with 3 layers? Here’s a quick guide: 🖼️Design 3 unique layers ✨Layers with higher numbers are placed on top of the layers with lower numbers. ☝️Layer 1 will be the background, ☝️Layer 2 will be in the middle, and ☝️Layer 3 will be on the top of the card. ☝️Remember: use a transparent background when creating layer 2 and layer 3 files. 🌌Launch your multi-layered Membership Card masterpiece on Galaxis.
0:24

🌌Create multi-layered Membership Cards or collections with Galaxis. 🌌How do you create amazing cards with 3 layers? Here’s a quick guide: 🖼️Design 3 unique layers ✨Layers with higher numbers are placed on top of the layers with lower numbers. ☝️Layer 1 will be the background, ☝️Layer 2 will be in the middle, and ☝️Layer 3 will be on the top of the card. ☝️Remember: use a transparent background when creating layer 2 and layer 3 files. 🌌Launch your multi-layered Membership Card masterpiece on Galaxis.

Galaxis

26,575 Aufrufe • vor 2 Jahren

🤔 Why do we still rely on the final layer of an LLM, when different layers encode different information? 🤔 In our new work, “Improving LLM Final Representations with Inter-Layer Geometry” (ICLR 2026 Workshop on Geometry-grounded Representation Learning and Generative Modeling) we show that actually, LLMs do not have one “best” layer. We introduce the Cayley-Encoder: an efficient and effective geometric encoder that learns one strong representation from all layer representations of the LLM, without biasing the representation toward any specific layer. While adding at most 0.1% learned parameters to the LLM, the Cayley-Encoder achieves large empirical gains over LoRA fine-tuning, final-layer representations, expensive attention-based aggregation, and methods that optimize specific layers for the task.
0:20

🤔 Why do we still rely on the final layer of an LLM, when different layers encode different information? 🤔 In our new work, “Improving LLM Final Representations with Inter-Layer Geometry” (ICLR 2026 Workshop on Geometry-grounded Representation Learning and Generative Modeling) we show that actually, LLMs do not have one “best” layer. We introduce the Cayley-Encoder: an efficient and effective geometric encoder that learns one strong representation from all layer representations of the LLM, without biasing the representation toward any specific layer. While adding at most 0.1% learned parameters to the LLM, the Cayley-Encoder achieves large empirical gains over LoRA fine-tuning, final-layer representations, expensive attention-based aggregation, and methods that optimize specific layers for the task.

Maya Bechler-Speicher

16,351 Aufrufe • vor 19 Tagen

Stablecoin transactions over the Lightning Network are superior to any other blockchain or layer 2 solution. Hear it straight from Paolo Ardoino 🤖 describe why USDT on Lightning scales and checks all the boxes to meet the demand for a truly decentralized & global payments network.
3:06

Stablecoin transactions over the Lightning Network are superior to any other blockchain or layer 2 solution. Hear it straight from Paolo Ardoino 🤖 describe why USDT on Lightning scales and checks all the boxes to meet the demand for a truly decentralized & global payments network.

Joltz

16,490 Aufrufe • vor 1 Jahr

AI is threatening ALL creative work. This is why we built Camp, the Autonomous IP Layer 1 Blockchain. But what does that mean — and why should it matter to you?
0:33

AI is threatening ALL creative work. This is why we built Camp, the Autonomous IP Layer 1 Blockchain. But what does that mean — and why should it matter to you?

Camp Network

341,779 Aufrufe • vor 1 Jahr

What is #Bitcoin? "Bitcoin is the result of a long process of energy consolidating into a more and more dense form." - Luke Broyles Monetary Layer (BTC) <---------------------- Communications Layer (TCP/IP) Information Layer (🖥️) Energy Layer (🔌⚡)
4:11

What is #Bitcoin? "Bitcoin is the result of a long process of energy consolidating into a more and more dense form." - Luke Broyles Monetary Layer (BTC) <---------------------- Communications Layer (TCP/IP) Information Layer (🖥️) Energy Layer (🔌⚡)

Blockware

20,851 Aufrufe • vor 3 Jahren

AI is not one model. It is a five layer industrial stack: energy, chips and systems, infrastructure software, models, and applications. When America leads across that stack, we lead the next wave of growth.
4:55

AI is not one model. It is a five layer industrial stack: energy, chips and systems, infrastructure software, models, and applications. When America leads across that stack, we lead the next wave of growth.

NVIDIA Newsroom

13,522 Aufrufe • vor 6 Monaten

David Sacks says $PLTR is one example of an application company being turbocharged by AI. He argues the real question behind the SaaS selloff is whether value stays with the model companies or flows to the application layer.
1:31

David Sacks says $PLTR is one example of an application company being turbocharged by AI. He argues the real question behind the SaaS selloff is whether value stays with the model companies or flows to the application layer.

Shay Boloor

75,087 Aufrufe • vor 2 Monaten

🚨 ELON MUSK: "Only 10 to 15 cents on the dollar actually gets to the end recipient. So they're just stealing the money before it even gets anywhere. There's layers of stealing, the first layer of stealing, second layer of stealing, third layer of stealing."
0:41

🚨 ELON MUSK: "Only 10 to 15 cents on the dollar actually gets to the end recipient. So they're just stealing the money before it even gets anywhere. There's layers of stealing, the first layer of stealing, second layer of stealing, third layer of stealing."

DogeDesigner

479,609 Aufrufe • vor 1 Jahr

⚠️ Three steel skyscrapers collapsed on 9/11 and critics say the biggest unanswered mystery is still Building 7. Why was it barely covered and why do so many engineers still question the official story?
6:05

⚠️ Three steel skyscrapers collapsed on 9/11 and critics say the biggest unanswered mystery is still Building 7. Why was it barely covered and why do so many engineers still question the official story?

Redacted

10,590 Aufrufe • vor 1 Monat

Ever wondered what neural networks are and how they work? Systems like ChatGPT use neural networks to work as well as they do. Neural networks are composed of "layers" of neurons, layers with different functions; connections between layers called "weights"; and mathematical functions called "activation functions". If you’re interested in learning about these systems, check the comments. Ultimately, the neural network structure of the model serves to visually demonstrate that it is, in fact, a complex mathematical equation. When companies release the model's weights, they are releasing a key component needed to run the model's complete equation. Without the weights, the equation is incomplete. For the math-minded: the weights of a model are the learned numbers (they are variables during training) that are then used as constants in the mathematical functions that make up the model. Neural networks are ultimately just one big, hyper-complex mathematical function, and when a model is trained, it learns the constants associated with the high-dimensional input.
2:37

Ever wondered what neural networks are and how they work? Systems like ChatGPT use neural networks to work as well as they do. Neural networks are composed of "layers" of neurons, layers with different functions; connections between layers called "weights"; and mathematical functions called "activation functions". If you’re interested in learning about these systems, check the comments. Ultimately, the neural network structure of the model serves to visually demonstrate that it is, in fact, a complex mathematical equation. When companies release the model's weights, they are releasing a key component needed to run the model's complete equation. Without the weights, the equation is incomplete. For the math-minded: the weights of a model are the learned numbers (they are variables during training) that are then used as constants in the mathematical functions that make up the model. Neural networks are ultimately just one big, hyper-complex mathematical function, and when a model is trained, it learns the constants associated with the high-dimensional input.

Harper Carroll

28,368 Aufrufe • vor 7 Monaten

We've been obsessed with the 3D genome lately. Our preprint will tell you why. We mapped 3D topology, layer by layer, across Development and Injury, guess what?! Neurons retain latent cellular memory that triggers rewiring of the 3D genome upon injury!!!
0:53

We've been obsessed with the 3D genome lately. Our preprint will tell you why. We mapped 3D topology, layer by layer, across Development and Injury, guess what?! Neurons retain latent cellular memory that triggers rewiring of the 3D genome upon injury!!!

Ishwariya Venkatesh

10,536 Aufrufe • vor 3 Monaten

Ever wonder why Ukraine is so obsessed with the Kerch Bridge? Attacking it wouldn’t change much, since there are other supply routes now. Well, we know why. And now you will too.
1:52

Ever wonder why Ukraine is so obsessed with the Kerch Bridge? Attacking it wouldn’t change much, since there are other supply routes now. Well, we know why. And now you will too.

Rina Lu🇷🇺

47,937 Aufrufe • vor 6 Monaten

Martin martin_casado and I had a fun hour-long chat about why we need an AI software layer, and why that's true even if AGI arrives. This is basically my take on why "the model" is definitely NOT "the product", though models are one way you may decide to implement some products
1:16

Martin martin_casado and I had a fun hour-long chat about why we need an AI software layer, and why that's true even if AGI arrives. This is basically my take on why "the model" is definitely NOT "the product", though models are one way you may decide to implement some products

Omar Khattab

32,805 Aufrufe • vor 7 Monaten

There are two essential layers to the onchain economy: chain and liquidity networks. And it is not often noted, more value is accrued at the liquidity layer ($5B+) than chain layer ($3B+). MetaDEXs treat liquidity as a network -- and will soon unify it around a single token.
2:34

There are two essential layers to the onchain economy: chain and liquidity networks. And it is not often noted, more value is accrued at the liquidity layer ($5B+) than chain layer ($3B+). MetaDEXs treat liquidity as a network -- and will soon unify it around a single token.

alexander

62,760 Aufrufe • vor 6 Monaten