Technology
Meta enters AI video wars with powerful Movie Gen model
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Meta founder and CEO Mark Zuckerberg, who built the company atop of its hit social network Facebook, finished this week strong, posting a video of himself doing a leg press exercise on a machine at the gym on his personal Instagram (a social network Facebook acquired in 2012).
Except, in the video, the leg press machine transforms into a neon cyberpunk version, an Ancient Roman version, and a gold flaming version as well.
As it turned out, Zuck was doing more than just exercising: he was using the video to announce Movie Gen, Meta’s new family of generative multimodal AI models that can make both video and audio from text prompts, and allow users to customize their own videos, adding special effects, props, costumes and changing select elements simply through text guidance, as Zuck did in his video.
The models appear to be extremely powerful, allowing users to change only selected elements of a video clip rather than “re-roll” or regenerate the entire thing, similar to Pika’s spot editing on older models, yet with longer clip generation and sound built in.
Meta’s tests, outlined in a technical paper on the model family released today, show that it outperforms the leading rivals in the space including Runway Gen 3, Luma Dream Machine, OpenAI Sora and Kling 1.5 on many audience ratings of different attributes such as consistency and “naturalness” of motion.
Meta has positioned Movie Gen as a tool for both everyday users looking to enhance their digital storytelling as well as professional video creators and editors, even Hollywood filmmakers.
Movie Gen represents Meta’s latest step forward in generative AI technology, combining video and audio capabilities within a single system.
Specificially, Movie Gen consists of four models:
1. Movie Gen Video – a 30B parameter text-to-video generation model
2. Movie Gen Audio – a 13B parameter video-to-audio generation model
3. Personalized Movie Gen Video – a version of Movie Gen Video post-trained to generate personalized videos based on a person’s face
4. Movie Gen Edit – a model with a novel post-training procedure for precise video editing
These models enable the creation of realistic, personalized HD videos of up to 16 seconds at 16 FPS, along with 48kHz audio, and provide video editing capabilities.
Designed to handle tasks ranging from personalized video creation to sophisticated video editing and high-quality audio generation, Movie Gen leverages powerful AI models to enhance users’ creative options.
Key features of the Movie Gen suite include:
• Video Generation: With Movie Gen, users can produce high-definition (HD) videos by simply entering text prompts. These videos can be rendered at 1080p resolution, up to 16 seconds long, and are supported by a 30 billion-parameter transformer model. The AI’s ability to manage detailed prompts allows it to handle various aspects of video creation, including camera motion, object interactions, and environmental physics.
• Personalized Videos: Movie Gen offers an exciting personalized video feature, where users can upload an image of themselves or others to be featured within AI-generated videos. The model can adapt to various prompts while maintaining the identity of the individual, making it useful for customized content creation.
• Precise Video Editing: The Movie Gen suite also includes advanced video editing capabilities that allow users to modify specific elements within a video. This model can alter localized aspects, like objects or colors, as well as global changes, such as background swaps, all based on simple text instructions.
• Audio Generation: In addition to video capabilities, Movie Gen also incorporates a 13 billion-parameter audio generation model. This feature enables the generation of sound effects, ambient music, and synchronized audio that aligns seamlessly with visual content. Users can create Foley sounds (sound effects amplifying yet solidifying real life noises like fabric ruffling and footsteps echoing), instrumental music, and other audio elements up to 45 seconds long. Meta posted an example video with Foley sounds below (turn sound up to hear it):
Trained on billions of videos online
Movie Gen is the latest advancement in Meta’s ongoing AI research efforts. To train the models, Meta says it relied upon “internet scale image, video, and audio data,” specifically, 100 million videos and 1 billion images from which it “learns about the visual world by ‘watching’ videos,” according to the technical paper.
However, Meta did not specify if the data was licensed in the paper or public domain, or if it simply scraped it as many other AI model makers have — leading to criticism from artists and video creators such as YouTuber Marques Brownlee (MKBHD) — and, in the case of AI video model provider Runway, a class-action copyright infringement suit by creators (still moving through the courts). As such, one can expect Meta to face immediate criticism for its data sources.
The legal and ethical questions about the training aside, Meta is clearly positioning the Movie Gen creation process as novel, using a combination of typical diffusion model training (used commonly in video and audio AI) alongside large language model (LLM) training and a new technique called “Flow Matching,” the latter of which relies on modeling changes in a dataset’s distribution over time.
At each step, the model learns to predict the velocity at which samples should “move” toward the target distribution. Flow Matching differs from standard diffusion-based models in key ways:
• Zero Terminal Signal-to-Noise Ratio (SNR): Unlike conventional diffusion models, which require specific noise schedules to maintain a zero terminal SNR, Flow Matching inherently ensures zero terminal SNR without additional adjustments. This provides robustness against the choice of noise schedules, contributing to more consistent and higher-quality video outputs .
• Efficiency in Training and Inference: Flow Matching is found to be more efficient both in terms of training and inference compared to diffusion models. It offers flexibility in terms of the type of noise schedules used and shows improved performance across a range of model sizes. This approach has also demonstrated better alignment with human evaluation results.
The Movie Gen system’s training process focuses on maximizing flexibility and quality for both video and audio generation. It relies on two main models, each with extensive training and fine-tuning procedures:
• Movie Gen Video Model: This model has 30 billion parameters and starts with basic text-to-image generation. It then progresses to text-to-video, producing videos up to 16 seconds long in HD quality. The training process involves a large dataset of videos and images, allowing the model to understand complex visual concepts like motion, interactions, and camera dynamics. To enhance the model’s capabilities, they fine-tuned it on a curated set of high-quality videos with text captions, which improved the realism and precision of its outputs. The team further expanded the model’s flexibility by training it to handle personalized content and editing commands.
• Movie Gen Audio Model: With 13 billion parameters, this model generates high-quality audio that syncs with visual elements in the video. The training set included over a million hours of audio, which allowed the model to pick up on both physical and psychological connections between sound and visuals. They enhanced this model through supervised fine-tuning, using selected high-quality audio and text pairs. This process helped it generate realistic ambient sounds, synced sound effects, and mood-aligned background music for different video scenes.
It follows earlier projects like Make-A-Scene and the Llama Image models, which focused on high-quality image and animation generation.
This release marks the third major milestone in Meta’s generative AI journey and underscores the company’s commitment to pushing the boundaries of media creation tools.
Launching on Insta in 2025
Set to debut on Instagram in 2025, Movie Gen is poised to make advanced video creation more accessible to the platform’s wide range of users.
While the models are currently in a research phase, Meta has expressed optimism that Movie Gen will empower users to produce compelling content with ease.
As the product continues to develop, Meta intends to collaborate with creators and filmmakers to refine Movie Gen’s features and ensure it meets user needs.
Meta’s long-term vision for Movie Gen reflects a broader goal of democratizing access to sophisticated video editing tools. While the suite offers considerable potential, Meta acknowledges that generative AI tools like Movie Gen are meant to enhance, not replace, the work of professional artists and animators.
As Meta prepares to bring Movie Gen to market, the company remains focused on refining the technology and addressing any existing limitations. It plans further optimizations aimed at improving inference time and scaling up the model’s capabilities. Meta has also hinted at potential future applications, such as creating customized animated greetings or short films entirely driven by user input.
The release of Movie Gen could signal a new era for content creation on Meta’s platforms, with Instagram users among the first to experience this innovative tool. As the technology evolves, Movie Gen could become a vital part of Meta’s ecosystem and that of creators — pro and indie alike.
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In recent years, Samsung Foundry, the company’s semiconductor production division, has been struggling to compete against TSMC, its main rival. The South Korean giant has even lost big clients due to problems with poor wafer yields. Now, a new report suggests that Samsung Foundry may go public as a public company in the United States in search of capital injection.
Samsung Foundry may look to raise capital by going public in the United States
According to South Korean media, Samsung Securities, a financial services unit, concluded in a report that Samsung Foundry will be listed as a public company. The main reason reportedly stems from ongoing issues during chip production. These issues have led Samsung Foundry to suffer significant losses as clients moved to TSMC in search of more reliable factories. In fact, Samsung Foundry is expected to report operating losses of 500 billion won (approximately $385 million) for Q3 2024.
Qualcomm is one of the main names that turned to TSMC after recent negative experiences with Samsung. The American company relied on Samsung’s factories to produce the Snapdragon 8 Gen 1, one of the most important chips in its history. The Snapdragon 8 Gen 1 even started a name change for the company’s SoCs, as it was the successor to the Snapdragon 888. Unfortunately, overheating and low efficiency issues inherited from Samsung’s wafers plagued the Snapdragon 8 Gen 1.
Then, Qualcomm moved the chip manufacturing to TSMC’s factories, now calling it Snapdragon 8+ Gen 1. The hardware basically used the same design as the Snapdragon 8 Gen 1, but with higher CPU frequencies. The result was one of Qualcomm’s most popular and widely used chips in history for its raw power and efficiency. Since then, Qualcomm and TSMC have worked together on all subsequent Snapdragon flagship chips. Samsung still makes some mid-range Snapdragons, though.
Samsung Foundry struggling to achieve decent yields
According to reports, Samsung’s 4nm wafer yield was 35%. That basically means that only 35 chips out of 100 were “usable.” Well, recent reports claim that Samsung’s 3nm wafer yield is somewhere between 10% and 20%. Samsung Foundry reportedly adopted Gate-All-Around (GAA) transistors for 3nm chip manufacturing earlier this year, but it is struggling to achieve high yield.
GAA is a technology that increases the performance and power efficiency of the chips produced. However, it seems that Samsung Foundry has not been up to the task. Samsung was one of the pioneers in this technology, and not even TSMC has implemented it. The Taiwanese company is said to start using GAA in 2025 for the production of 2 nm chips. Had it done things right, Samsung Foundry could have gained a competitive advantage.
The base Galaxy S25 would use Mediatek chips
Interestingly, in June, Qualcomm’s CEO opened the door to working with Samsung again. Should a deal materialize, the South Korean company would take on a portion of the Snapdragon 8 Gen 5 production. However, potential negotiations will probably depend on Samsung Foundry solving its current efficiency problems. If Samsung Foundry fails to resolve these issues, some models in the Galaxy S25 series may ditch Exynos chips. Samsung is reportedly considering using Mediatek’s Dimensity 9400 as the base SoC for the Galaxy S25 in most markets.
Servers computers
What is a Home Lab? You need one NOW #homelab #youtubeshorts #shorts #itsupport #networking #video
Home Lab Network Tour and Set Up
Since Easter Sunday, I came home from work to find the my partner at the time took my two kids away ages 3 and 2 and for months now have been in family court, as hard as this experience has been, I have learnt a lot and learnt who you can trust or not, on a good note I have been lucky with the courts and what i have managed to get with my kids
Just wanted to do a recap of the homelab I once had at my house, I am keen and excited to be able to get my lab up and running once this court custody and property case can be over and done with
DADS fight for what is yours, especially when it is your kids, they deserve to be in your life, they are not only the mothers, they forget that and for sure lies apon lies will be told but at the end of it, they get exposed
everything about what a home lab is and why you need to start investing time and money into one!
Start off small and grow it over time! Or rush like I did!
I started off with just a small synology Nas and a 8 port switch. But within months that grown into buying a 9U network rack and 2 switches with a patch panel, not long after I was moving up into a computer server. That made be happy for a month or two then I purchased a bigger rack (27) that now runs 4 servers, 1 Nas, 2 patch panels 2 switches CCTV, modem Dell OptiPlex and 2 access points.
I have purchased and bought all my equipment that has defiantly has cost a lot of money, but IT is a expensive hobby and with every cent! Of course there is the business side to a home lab, but there is also the fun stuff like media servers, docker, portainer and cool other services to play with for FUN!
#homelab #proxmox #synology #zosi #homenetworking
A home lab is a small, personal laboratory setup used for learning and experimenting with different technologies, such as networking, virtualization, or software development. It can be a valuable tool for gaining hands-on experience and advancing technical skills in a low-risk and cost-effective environment. A home lab typically includes a small number of computers, servers, and networking equipment, such as switches, routers, and firewalls. The equipment can be connected together to create a miniature network that allows the user to test and practice various configurations and scenarios. Home labs can be used for a variety of purposes, such as studying for certification exams, testing software, or learning new technologies. Whether you are a beginner or a seasoned professional, a home lab provides a valuable opportunity to enhance your technical knowledge and skills.
#networking #homelab #networking101 #family #familycourt #australia #informationtechnology #homelab #homelabs #network #servers #homeserver #homejob #homenetwork #youtube #build #built #before #after #rack
#update #minute #youtube #life #family #imissyou
My server rack and hardware:
27 Network Rack (600mm): https://www.ebay.com.au/itm/264570683778
Server 1:
Standard Acer Veriton motherboard (SFF)
Intel i5 4440
DDR3 16gb ram 1600mhz
500gb Hard drive
Server 2 IBM:
CPU: M3 Xeon quad core 3440 2.53GHz
DDR3 24gb Ram
2X 500gb hard drive
Intel dual port network card
Server 3 Dell Power edge R410:
CPU: Xeon L5630 2.12GHz
16 GB ECC Server Ram
500 GB Samsung SSD
1Tb WD hard drive
500 WD hard drive
Server 4:
16gb DDR4
500gb Kingston SSD
2tb WD Hard drive
Intel i5
Synology Nas 2 Bay DS220J
2X 2tb Seagate iron wolf Nas Hard drives
Stay Connected with US!
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TikTok: https://www.tiktok.com/@homelabnetworks
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Technology
X reportedly paid its Brazil fines to the wrong bank, causing further delay in reinstatement case
Despite the company’s recent decision to abide by the demands of the Brazilian Supreme Court, X still isn’t back online in Brazil — and according to Reuters, that’s at least in part because it paid its fines to the wrong bank. After weeks being banned in Brazil, X in late September named a legal representative for the country as ordered, and took down accounts the court accused of spreading misinformation and hate speech. Its final hurdle was to pay off the fines that it had racked up, reportedly amounting to roughly $5 million.
Citing Friday court filings, Reuters reports that X says it’s paid the fines and requested to have services restored. But, Justice Alexandre de Moraes said the funds went to the wrong bank, and the decision will have to wait until they’ve been transferred. X maintains that it paid its fines correctly, according to Reuters. X has been banned in Brazil since the end of August. While the company initially resisted the court’s orders, it recently changed its tune and said it was working with the Brazilian government to get the platform back online in the country.
Google is rolling out a new set of features aimed at making it less easy for thieves to access your data. That’s according to Mishaal Rahman, who posted on Reddit that the features are showing up in a new update after seeing that his Xiaomi 14T Pro phone now has Theft Detection Lock and Offline Device Lock, two of three features Google announced in May. Others say they only see the third one, called Remote Lock.
The flashiest of the new features is Theft Detection Lock, which uses AI to lock your screen when it detects “common motion associated with theft,” like someone snatching your phone out of your hand. Meanwhile, Offline Device Lock locks a device’s screen when it’s offline for a while, and Remote Lock lets users lock their phone using only their phone number when they can’t log into Find My Device with their password.
So far, I’m not seeing any of the features on my own Pixel 6. You can see screenshots of the new features’ settings in the overnight Threads post from Rahman below.
Theft Detection Lock and Offline Device Lock are supported on any Android device running Android 10 and up, while you’ll need at least Android 5 for Remote Lock. If you don’t have the features yet, you can try updating Google Play Services, though Google tends to roll out new features over time, rather than to everyone at once, so, like me, you may have to wait.
Servers computers
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HP ProLiant DL580 Gen8 Rack Server
Ideal For:
Form Factor:4U Rack
Processors Supported:Intel Xeon E7 4800/8800 v2 product family
Sockets:4
Cores: Maximum 60
Max Memory:6 TB
Max memory/Slot:64 GB
Memory Type: DDR3
DIMMs: 96 DIMM slots
Max Storage: 12 TB
Types of Storages: SFF SAS,SFF SAS SSD,SFF SATA SSD
Power Supplies: Dual Power Supply
———————————
HPE ProLiant DL560 Gen8 Rack Server
Ideal For:
Form Factor:2U rack
Processors Supported:Intel Xeon E5-4600v2 Processor family
Sockets:4
Cores: Maximum 48
Max Memory: 1.5 TB
Max memory/Slot: 32 GB
Memory Type: DDR3
DIMMs:48 DIMM slots
Max Storage: 19.2TB
Types of Storages: SFF SAS,SFF SAS SSD,SFF SATA,SFF SATA SSD
Power Supplies: Dual Power Supply
———————————
HP ProLiant DL385p Generation 8 Rack Server
Ideal For:
Form Factor:2U
Processors Supported: AMD Opteron™ 6386SE,6380, 6378, 6376, 6366HE, 6348, 6344, 6328, 6320, 6308 Processor
Sockets:2
Cores: Maximum 32
Max Memory:768 GB
Max memory/Slot:32GB
Memory Type: DDR3
DIMMs:24 DIMM slots
Max Storage:96.0TB
Types of Storages:SFF SAS,SFF SATA,LFF SAS,LFF SATA,SFF SAS SSD,LFF SATA SSD
Power Supplies: Dual Power Supply
———————————
HP ProLiant DL380p Generation8 Rack Server
Ideal For:
Form Factor:2U
Processors Supported: Intel® Xeon® E5-2600 and E5-2600 v2 series processors
Sockets:2
Cores: Maximum 24
Max Memory:768 GB
Max memory/Slot:32GB
Memory Type: DDR3
DIMMs:24 DIMM slots
Max Storage: 96.0TB
Types of Storages: SAS (SFF),SATA (LFF), SSD (SFF)
Power Supplies: Dual Power Supply
———————————
HP ProLiant DL360P Gen8 Rack Server
Ideal For:
Form Factor:1U
Processors Supported: Intel Xeon E5-2600 v2 or E5-2600 family
Sockets:2
Cores: Maximum 24
Max Memory:768 GB
Max memory/Slot:32GB
Memory Type: DDR3
DIMMs:24 DIMM slots
Max Storage:32.0TB
Types of Storages: SFF SAS,SFF SATA,LFF SAS,LFF SATA,SFF SAS SSD,SFF SATA SSD,LFF SAS SSD,LFF SATA SSD
Power Supplies: Dual Power Supply
———————————
HP ProLiant DL320e Generation 8 Rack Server
Ideal For:
Form Factor:1U
Processors Supported:
Intel® Pentium® G2120 ,Xeon® E3-1220Lv2,E3-1220v2,E3-1230v2,E3-1240v2,E3-1270v2,E3-1290v2 product family
Sockets:1
Cores: Maximum 4
Max Memory: 32 GB
Max memory/Slot:8GB
Memory Type: DDR3
DIMMs:4 DIMM slots
Max Storage:16.0TB
Types of Storages: SFF SAS,SFF SATA,LFF SAS,LFF SATA,SFF SAS SSD,SFF SATA SSD,LFF SATA SSD
Power Supplies: Dual Power Supply
———————————
HP ProLiant DL160 Generation 8 Rack Server
Ideal For:
Form Factor:1U
Processors Supported: Intel Xeon E5-2600 series processors
Sockets:2
Cores: Maximum 16
Max Memory:768 GB
Max memory/Slot: 32 GB
Memory Type: DDR3
DIMMs:24 DIMM slots
Max Storage: 16.0TB
Types of Storages:LFF SATA,LFF SATA SSD,LFF SAS,SFF SATA,SFF SATA SSD,SFF SAS,SAS SSD,LFF SATA,LFF SAS
Power Supplies: Dual Power Supply .
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