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We released a new public tool, 3LayersPersistence, that demonstrates 3 different persistence layers implemented in one executable. The implementation uses WMI event subscriptions, DLL sideloading, and COM hijacking in a single workflow, with the executable patching itself into proxy DLLs at runtime, allowing execution through multiple persistence paths.

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MalDev Academy

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12,161 görüntüleme • 4 ay önce •via X (Twitter)

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A Closer Look at Alchemist AI v3.5🔎 In v1, one agent handled everything. You’d enter a prompt like “make a snake game” and get a single block of code—one input, one output. v2 introduced multiple agents with specialized roles: prompt refinement, frontend, backend, and review. It brought more structure, but the process was still linear. Each step produced a single output. With v3, a single agent could handle multiple tasks. It generated HTML, CSS, JavaScript, searched for assets, and more—all in one go, while maintaining full context. Now in v3.5, we combine both models. Multiple agents work in parallel, each capable of producing multiple outputs at once. The prompt compiler adapts based on what you're building. A 3D game? It prioritizes game engines, rendering, and mechanics. A website or 2D app? It shifts focus to relevant frameworks and tools. The tool handler can call several services simultaneously, feeding context-aware data into the code generator for real-time execution. From single-output generation to parallel, adaptive workflows. In the next breakdown, we’ll dive into the architecture behind our proprietary engine in v3.5.
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A Closer Look at Alchemist AI v3.5🔎 In v1, one agent handled everything. You’d enter a prompt like “make a snake game” and get a single block of code—one input, one output. v2 introduced multiple agents with specialized roles: prompt refinement, frontend, backend, and review. It brought more structure, but the process was still linear. Each step produced a single output. With v3, a single agent could handle multiple tasks. It generated HTML, CSS, JavaScript, searched for assets, and more—all in one go, while maintaining full context. Now in v3.5, we combine both models. Multiple agents work in parallel, each capable of producing multiple outputs at once. The prompt compiler adapts based on what you're building. A 3D game? It prioritizes game engines, rendering, and mechanics. A website or 2D app? It shifts focus to relevant frameworks and tools. The tool handler can call several services simultaneously, feeding context-aware data into the code generator for real-time execution. From single-output generation to parallel, adaptive workflows. In the next breakdown, we’ll dive into the architecture behind our proprietary engine in v3.5.

ALCHEMIST AI 🔮

12,689 görüntüleme • 1 yıl önce

Nano Banana + Veo 3 is soooo good for UGC videos 🤯 This Nano Banana + Veo 3 + n8n workflow generates full UGC campaigns with consistent characters, from a single product photo. Perfect for e-comm brands & agencies who need AI UGC that actually looks like a real campaign. Here's the problem with most AI video: You generate 10 videos and get 10 different "creators." Different faces, different vibes, different everything. This n8n workflow solves it: → Upload one product photo via n8n form → AI analyzes your product automatically → Nano Banana locks in a consistent character → Veo 3 generates multiple scenes with that same talent → Everything auto-stitches into finished campaign videos → Download-ready UGC in minutes One product photo. One AI creator. Unlimited scenes. What you get: - Full UGC campaigns with character consistency - Multiple videos featuring the exact same "creator" - Auto-stitched final output—no editing required - Production-ready content in minutes, not days Built 100% in n8n. Want the full workflow? > Comment "UGC" > Like this post And I'll send it over (must be following so I can DM)
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Nano Banana + Veo 3 is soooo good for UGC videos 🤯 This Nano Banana + Veo 3 + n8n workflow generates full UGC campaigns with consistent characters, from a single product photo. Perfect for e-comm brands & agencies who need AI UGC that actually looks like a real campaign. Here's the problem with most AI video: You generate 10 videos and get 10 different "creators." Different faces, different vibes, different everything. This n8n workflow solves it: → Upload one product photo via n8n form → AI analyzes your product automatically → Nano Banana locks in a consistent character → Veo 3 generates multiple scenes with that same talent → Everything auto-stitches into finished campaign videos → Download-ready UGC in minutes One product photo. One AI creator. Unlimited scenes. What you get: - Full UGC campaigns with character consistency - Multiple videos featuring the exact same "creator" - Auto-stitched final output—no editing required - Production-ready content in minutes, not days Built 100% in n8n. Want the full workflow? > Comment "UGC" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

31,665 görüntüleme • 6 ay önce

kling 2.6 motion control is actually insane for AI ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scale
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kling 2.6 motion control is actually insane for AI ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scale

Miko

29,396 görüntüleme • 7 ay önce

One trick we discovered for avoiding realistic face moderation issues in Seedance 2.0 is using character turnaround sheets (front / side / back views). The first video is one of our experiment results — and it runs successfully. We’ve now integrated character turnarounds directly into our workflow + canvas system: 1. If your artwork was generated on our site, you can drag the image into the canvas directly from the Assets tab 2. Click the “Character Turnaround” button above the image to automatically generate a 3-view turnaround sheet 3. Create a new video node and use the turnaround sheet directly with Seedance 2.0 inside the workflow I’ve shared the workflow link in the comments if you want to explore the exact prompts, setup, and workflow details.
0:10

One trick we discovered for avoiding realistic face moderation issues in Seedance 2.0 is using character turnaround sheets (front / side / back views). The first video is one of our experiment results — and it runs successfully. We’ve now integrated character turnarounds directly into our workflow + canvas system: 1. If your artwork was generated on our site, you can drag the image into the canvas directly from the Assets tab 2. Click the “Character Turnaround” button above the image to automatically generate a 3-view turnaround sheet 3. Create a new video node and use the turnaround sheet directly with Seedance 2.0 inside the workflow I’ve shared the workflow link in the comments if you want to explore the exact prompts, setup, and workflow details.

underwood

32,399 görüntüleme • 2 ay önce

What is the best video editing agent for short form social? Does it actually work? We watched professional video editors, step by step, as they built short-form social reels in Adobe Premiere Pro. Today we're open-sourcing this preview dataset on Hugging Face, to make AI agents better at editing videos. The data set is 234 annotated steps across 4 computer-use trajectories. Editors narrated their reasoning aloud as they worked, so every step pairs a screenshot with the expert's own thought, a structured action, and executable grounding: >a Premiere MCP tool call, keyboard shortcut, menu path, or coordinate click. >The format follows the AgentNet trajectory schema, extended with a Premiere action taxonomy and multi-path execution. ***That makes it directly usable for computer-use agent SFT, reasoning mid-training, tool-use and function calling, and benchmarking agents against a human expert baseline. Enjoy!
0:13

What is the best video editing agent for short form social? Does it actually work? We watched professional video editors, step by step, as they built short-form social reels in Adobe Premiere Pro. Today we're open-sourcing this preview dataset on Hugging Face, to make AI agents better at editing videos. The data set is 234 annotated steps across 4 computer-use trajectories. Editors narrated their reasoning aloud as they worked, so every step pairs a screenshot with the expert's own thought, a structured action, and executable grounding: >a Premiere MCP tool call, keyboard shortcut, menu path, or coordinate click. >The format follows the AgentNet trajectory schema, extended with a Premiere action taxonomy and multi-path execution. ***That makes it directly usable for computer-use agent SFT, reasoning mid-training, tool-use and function calling, and benchmarking agents against a human expert baseline. Enjoy!

ben

38,817 görüntüleme • 9 gün önce

So, let me get this straight SpaceWeatherNews . Earth’s magnetic field is weakening right now, and it’s happening faster than expected. When you look back, the record shows the field didn’t always drift slowly either, sometimes it collapsed and re organized and things got beyond chaotic. The Sun isn’t a campfire in the sky like we were taught, it behaves in cycles and it can get violent in ways we’re only starting to understand. Earth reacts electrically and magnetically, like a living system kinda like bieng plugged into the Sun. Ice cores, tree rings, and archaeological layers all show resets happening at the same times around the world. Not once, but repeatedly. It's a clear pattern. We have direct measurements showing Earth’s magnetic field has weakened significantly in just a couple of centuries, with anomalies growing and the poles accelerating in ways that match pre excursion behavior seen in the geological record. We have lava flows that lock in multiple magnetic directions in a single cooling event, proving the field can shift rapidly, not over slow timelines. We have ice cores and tree rings showing abrupt spikes in cosmic radiation markers like carbon 14 and beryllium 10 that appear globally and simultaneously, which only happens when shielding fails or solar input surges. We have sudden climate reversals, where temperatures jump or crash in decades. Something standard models still have a hard time to explain. And we have synchronized layers of environmental fails in human history. We have abandoned settlements, cultural collapses, and reset layers that line up with those same physical events. None of this is speculative on its own. This is not speculation or fake, these are connected, because we have the individual datasets, they have been peer reviewed, and is sitting in plain sight. Forget the aliens for a second because we have some preparing to do.
0:14

So, let me get this straight SpaceWeatherNews . Earth’s magnetic field is weakening right now, and it’s happening faster than expected. When you look back, the record shows the field didn’t always drift slowly either, sometimes it collapsed and re organized and things got beyond chaotic. The Sun isn’t a campfire in the sky like we were taught, it behaves in cycles and it can get violent in ways we’re only starting to understand. Earth reacts electrically and magnetically, like a living system kinda like bieng plugged into the Sun. Ice cores, tree rings, and archaeological layers all show resets happening at the same times around the world. Not once, but repeatedly. It's a clear pattern. We have direct measurements showing Earth’s magnetic field has weakened significantly in just a couple of centuries, with anomalies growing and the poles accelerating in ways that match pre excursion behavior seen in the geological record. We have lava flows that lock in multiple magnetic directions in a single cooling event, proving the field can shift rapidly, not over slow timelines. We have ice cores and tree rings showing abrupt spikes in cosmic radiation markers like carbon 14 and beryllium 10 that appear globally and simultaneously, which only happens when shielding fails or solar input surges. We have sudden climate reversals, where temperatures jump or crash in decades. Something standard models still have a hard time to explain. And we have synchronized layers of environmental fails in human history. We have abandoned settlements, cultural collapses, and reset layers that line up with those same physical events. None of this is speculative on its own. This is not speculation or fake, these are connected, because we have the individual datasets, they have been peer reviewed, and is sitting in plain sight. Forget the aliens for a second because we have some preparing to do.

Jason Wilde

46,819 görüntüleme • 5 ay önce

That awkward moment when you accidentally like a post… Today I wanted to share a new little slice-of-life scene I created with @MartiniArt_ via Seedance. I really like the fact that the whole workflow is centralized in one place.Importing 2D characters, converting them into 3D, creating reference shots, testing animations… Everything works through a node-based system, which makes it easy to get a clear overview and iterate quickly from one model to another.
0:16

That awkward moment when you accidentally like a post… Today I wanted to share a new little slice-of-life scene I created with @MartiniArt_ via Seedance. I really like the fact that the whole workflow is centralized in one place.Importing 2D characters, converting them into 3D, creating reference shots, testing animations… Everything works through a node-based system, which makes it easy to get a clear overview and iterate quickly from one model to another.

Anima

91,305 görüntüleme • 4 ay önce

You can unlock Sirius for FREE by winning one match with every single brawler! 🤩 During the Sirius Release Event, you have multiple ways to unlock Sirius! 1. Win With Every Brawler Challenge Win one match with every single Brawler to unlock Sirius for free. You must own all 99 Brawlers to complete this challenge. You can also earn a Sirius Box by winning matches with 50 different Brawlers during the event. 2. Sirius Box Challenge You need 20 Sirius Boxes to complete the event and unlock Sirius. Each Sirius Box requires 2 wins.Players receive 40 tickets in total, which is exactly enough for 20 Boxes. If you earn the free Sirius Box from the 50 different Brawler wins, that means you can only lose TWICE making this the hardest challenge to complete yet! 3. Sirius Box Sirius can also be unlocked randomly from a Sirius Box during the event.This is the best Brawler Box we have ever released! It drops Brawlers (including Sirius), Coins, Power Points, XP Doublers, Credits Gadgets, Star Powers, and Hypercharges.8 Rewards per Box! #sneakpeek #brawlstars
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You can unlock Sirius for FREE by winning one match with every single brawler! 🤩 During the Sirius Release Event, you have multiple ways to unlock Sirius! 1. Win With Every Brawler Challenge Win one match with every single Brawler to unlock Sirius for free. You must own all 99 Brawlers to complete this challenge. You can also earn a Sirius Box by winning matches with 50 different Brawlers during the event. 2. Sirius Box Challenge You need 20 Sirius Boxes to complete the event and unlock Sirius. Each Sirius Box requires 2 wins.Players receive 40 tickets in total, which is exactly enough for 20 Boxes. If you earn the free Sirius Box from the 50 different Brawler wins, that means you can only lose TWICE making this the hardest challenge to complete yet! 3. Sirius Box Sirius can also be unlocked randomly from a Sirius Box during the event.This is the best Brawler Box we have ever released! It drops Brawlers (including Sirius), Coins, Power Points, XP Doublers, Credits Gadgets, Star Powers, and Hypercharges.8 Rewards per Box! #sneakpeek #brawlstars

Code: AshBS

62,826 görüntüleme • 5 ay önce

$Lexi fam, we have some exciting news to share with you all! Let's dive into the updates one by one: 1) We've hired a new developer who is proficient in blockchain and cybersecurity. He will be working to make Lexi available on multiple chains. 2) If you're skilled in community management, have experience working with projects, or possess a talent that could benefit Lexi, feel free to reach out to us via email at lexiai@lexiai.tech. 3) Our new trading contest will end on December 1st, with a prize pool of $10,000, split among the top 6 traders.
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$Lexi fam, we have some exciting news to share with you all! Let's dive into the updates one by one: 1) We've hired a new developer who is proficient in blockchain and cybersecurity. He will be working to make Lexi available on multiple chains. 2) If you're skilled in community management, have experience working with projects, or possess a talent that could benefit Lexi, feel free to reach out to us via email at [email protected]. 3) Our new trading contest will end on December 1st, with a prize pool of $10,000, split among the top 6 traders.

Lexi AI

13,160 görüntüleme • 1 yıl önce

Beauty ads just changed forever. Free Claude Opus 4.8 + GPT Image 2 + Seedance 2.0 workflow to spin up 100s of video ads. No studio, no model, no macro lens, no shoot day. Here's what nobody in beauty marketing wants to say out loud. That glossy lip shot. The droplet hitting the surface in slow motion. The whip-pan into the next scene. The crystalline product splash. All the stuff that used to need a real set, a real camera op, and a full shoot day. You can generate every frame of it from a text prompt now, and stitch it into a finished ad before your coffee goes cold. The workflow is almost stupidly simple: → Tell Claude Opus 4.8 the beauty shot you want (dewy skin macro, gloss-on-lips contact, ripple transition, the works) → Claude turns it into a shot-by-shot storyboard plus a prompt for every frame → GPT Image 2 generates the photoreal stills, frame by frame → Seedance 2.0 animates each one into a clip with that buttery slow-mo glide → You drop the clips into HeyOz and assemble the full ad in one place The real unlock is volume. This isn't one hero video. Once the workflow is dialed, you spin up hundreds of variations. Different shades, different models, different hooks, different transitions. The exact creative volume Meta rewards, minus the production cost that used to make it impossible. Old way: one shoot, one look, $10k+, weeks of waiting. New way: a hundred angles, any look, a few dollars each, same afternoon. I wrote up the entire workflow. The Claude storyboard prompt, the GPT Image 2 frame prompts, the Seedance motion settings, the full assembly flow. Completely free, no email gate. Want it? Comment "GLOSS" and I'll send it straight over. (make sure you're following so it can actually reach you)
0:18

Beauty ads just changed forever. Free Claude Opus 4.8 + GPT Image 2 + Seedance 2.0 workflow to spin up 100s of video ads. No studio, no model, no macro lens, no shoot day. Here's what nobody in beauty marketing wants to say out loud. That glossy lip shot. The droplet hitting the surface in slow motion. The whip-pan into the next scene. The crystalline product splash. All the stuff that used to need a real set, a real camera op, and a full shoot day. You can generate every frame of it from a text prompt now, and stitch it into a finished ad before your coffee goes cold. The workflow is almost stupidly simple: → Tell Claude Opus 4.8 the beauty shot you want (dewy skin macro, gloss-on-lips contact, ripple transition, the works) → Claude turns it into a shot-by-shot storyboard plus a prompt for every frame → GPT Image 2 generates the photoreal stills, frame by frame → Seedance 2.0 animates each one into a clip with that buttery slow-mo glide → You drop the clips into HeyOz and assemble the full ad in one place The real unlock is volume. This isn't one hero video. Once the workflow is dialed, you spin up hundreds of variations. Different shades, different models, different hooks, different transitions. The exact creative volume Meta rewards, minus the production cost that used to make it impossible. Old way: one shoot, one look, $10k+, weeks of waiting. New way: a hundred angles, any look, a few dollars each, same afternoon. I wrote up the entire workflow. The Claude storyboard prompt, the GPT Image 2 frame prompts, the Seedance motion settings, the full assembly flow. Completely free, no email gate. Want it? Comment "GLOSS" and I'll send it straight over. (make sure you're following so it can actually reach you)

Ahad Shams

11,067 görüntüleme • 1 ay önce

Am I the only one who feels the dine-in experience at McDonald's India has deteriorated a lot recently? Have visited their outlets multiple times at Majiwada & Kapurbawdi in Thane and it is the same at both places. Starting with ACs not cooling enough, to understaffed outlets. Self-order machines are either defunct or not allowing customers to make the payment forcing them to again stand in queue and make their payments. It defeats the purpose of having such self ordering machines. The images shown in the menu look different from what we finally get.
0:11

Am I the only one who feels the dine-in experience at McDonald's India has deteriorated a lot recently? Have visited their outlets multiple times at Majiwada & Kapurbawdi in Thane and it is the same at both places. Starting with ACs not cooling enough, to understaffed outlets. Self-order machines are either defunct or not allowing customers to make the payment forcing them to again stand in queue and make their payments. It defeats the purpose of having such self ordering machines. The images shown in the menu look different from what we finally get.

Roads of Mumbai

14,064 görüntüleme • 3 ay önce

This summer, New Yorkers are reading “The City We Became” by N.K. Jemisin. 📚🗽 NYPL and The Public Theater are launching the Big Summer Book Club—the biggest book club in Library history! Join in on a citywide reading experience where New Yorkers read one book together all summer long. Jemisin's "The City We Became" is a sprawling urban fantasy that brings together characters from all of New York City’s five boroughs. Starting today through Labor Day, anyone with an NYPL library card can download the e-book or audiobook instantly with no wait. Throughout the summer, Library branches across the Bronx, Manhattan, and Staten Island will host book discussions, giveaways, workshops, and more inspired by the novel. The Big Summer Book Club will culminate in a special event with N.K. Jemisin and WNYC at the Delacorte Theater in Central Park this August. Start reading:
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This summer, New Yorkers are reading “The City We Became” by N.K. Jemisin. 📚🗽 NYPL and The Public Theater are launching the Big Summer Book Club—the biggest book club in Library history! Join in on a citywide reading experience where New Yorkers read one book together all summer long. Jemisin's "The City We Became" is a sprawling urban fantasy that brings together characters from all of New York City’s five boroughs. Starting today through Labor Day, anyone with an NYPL library card can download the e-book or audiobook instantly with no wait. Throughout the summer, Library branches across the Bronx, Manhattan, and Staten Island will host book discussions, giveaways, workshops, and more inspired by the novel. The Big Summer Book Club will culminate in a special event with N.K. Jemisin and WNYC at the Delacorte Theater in Central Park this August. Start reading:

NY Public Library

29,363 görüntüleme • 2 ay önce

Human3R: Everyone Everywhere All at Once Note: I recorded the video from the interactive demo on their project page (linked in the comment below). Abstract (excerpt): Human3R jointly recovers global multi-person SMPL-X bodies ("everyone"), dense 3D scenes ("everywhere"), and camera trajectories in a single forward pass ("all-at-once"). Our method builds upon the 4D online reconstruction model CUT3R and uses parameter-efficient visual prompt tuning to preserve CUT3R's rich spatiotemporal priors while enabling direct readout of multiple SMPL-X bodies. Human3R is a unified model that eliminates heavy dependencies and iterative refinement. After being trained on the relatively small-scale synthetic dataset BEDLAM for just one day on one GPU, it achieves superior performance with remarkable efficiency: it reconstructs multiple humans in a one-shot manner, along with 3D scenes, in one stage, at real-time speed (15 FPS) with a low memory footprint (8 GB).
0:13

Human3R: Everyone Everywhere All at Once Note: I recorded the video from the interactive demo on their project page (linked in the comment below). Abstract (excerpt): Human3R jointly recovers global multi-person SMPL-X bodies ("everyone"), dense 3D scenes ("everywhere"), and camera trajectories in a single forward pass ("all-at-once"). Our method builds upon the 4D online reconstruction model CUT3R and uses parameter-efficient visual prompt tuning to preserve CUT3R's rich spatiotemporal priors while enabling direct readout of multiple SMPL-X bodies. Human3R is a unified model that eliminates heavy dependencies and iterative refinement. After being trained on the relatively small-scale synthetic dataset BEDLAM for just one day on one GPU, it achieves superior performance with remarkable efficiency: it reconstructs multiple humans in a one-shot manner, along with 3D scenes, in one stage, at real-time speed (15 FPS) with a low memory footprint (8 GB).

MrNeRF

35,783 görüntüleme • 9 ay önce

In 2025, the AgentFlayer exploit highlighted a new category of risk in AI systems. It was not a traditional breach involving stolen credentials or broken encryption. Instead, it demonstrated how an autonomous AI agent could be manipulated into executing unintended actions by processing malicious instructions embedded inside content it automatically processes. The incident did not expose a flaw in one specific integration. It revealed a structural weakness in how many modern AI agents are built. Today’s agents are no longer passive language models. They read documents automatically, scan emails, connect to SaaS tools, access cloud storage, and execute actions across multiple systems. To be useful, they are granted meaningful permissions. That capability creates value, but it also expands the attack surface. Most agent environments operate in a trusted, plaintext execution model. Data is encrypted at rest and in transit, but it is typically decrypted during inference so the model can process it. That runtime visibility is where potential risk lies. In a zero-click scenario like AgentFlayer, an attacker can embed hidden instructions inside a document that the AI processes automatically. Because the agent may have access to connected systems such as Google Drive, Slack, or GitHub, it can potentially be influenced to retrieve sensitive information or perform unintended actions. The user does not need to click a malicious link or approve a suspicious request. Therefore, the core issue is that during execution, the system may have access to sensitive data and broad privileges, meaning whoever controls the execution environment ultimately controls access to that data. Now consider a different architectural approach. If a system is designed so that data remains protected during execution, the risk profile changes. On Nesa, privacy is enforced at the execution layer through Equivariant Encryption. Computation can occur on encrypted data, reducing the visibility surface during runtime. Sensitive inputs and models do not need to be exposed in plain text to infrastructure operators for inference to occur. This does not eliminate prompt injection, logic manipulation, or tool misuse. Encryption alone cannot prevent an agent from being instructed to take an unintended action if it has been granted that permission. What it does do is materially reduce confidentiality risk. By limiting access to readable sensitive data during execution and reducing unilateral visibility at the infrastructure layer, the potential blast radius of a successful manipulation attempt is constrained. As AI agents become more autonomous and embedded into enterprise workflows, security must move deeper into architecture. The goal is not to claim invulnerability. It is to reduce trust concentration and contain systemic exposure when failures occur. AgentFlayer was not simply a one-off exploit. It was a reminder that in autonomous systems, execution-layer design determines how risk propagates.
0:11

In 2025, the AgentFlayer exploit highlighted a new category of risk in AI systems. It was not a traditional breach involving stolen credentials or broken encryption. Instead, it demonstrated how an autonomous AI agent could be manipulated into executing unintended actions by processing malicious instructions embedded inside content it automatically processes. The incident did not expose a flaw in one specific integration. It revealed a structural weakness in how many modern AI agents are built. Today’s agents are no longer passive language models. They read documents automatically, scan emails, connect to SaaS tools, access cloud storage, and execute actions across multiple systems. To be useful, they are granted meaningful permissions. That capability creates value, but it also expands the attack surface. Most agent environments operate in a trusted, plaintext execution model. Data is encrypted at rest and in transit, but it is typically decrypted during inference so the model can process it. That runtime visibility is where potential risk lies. In a zero-click scenario like AgentFlayer, an attacker can embed hidden instructions inside a document that the AI processes automatically. Because the agent may have access to connected systems such as Google Drive, Slack, or GitHub, it can potentially be influenced to retrieve sensitive information or perform unintended actions. The user does not need to click a malicious link or approve a suspicious request. Therefore, the core issue is that during execution, the system may have access to sensitive data and broad privileges, meaning whoever controls the execution environment ultimately controls access to that data. Now consider a different architectural approach. If a system is designed so that data remains protected during execution, the risk profile changes. On Nesa, privacy is enforced at the execution layer through Equivariant Encryption. Computation can occur on encrypted data, reducing the visibility surface during runtime. Sensitive inputs and models do not need to be exposed in plain text to infrastructure operators for inference to occur. This does not eliminate prompt injection, logic manipulation, or tool misuse. Encryption alone cannot prevent an agent from being instructed to take an unintended action if it has been granted that permission. What it does do is materially reduce confidentiality risk. By limiting access to readable sensitive data during execution and reducing unilateral visibility at the infrastructure layer, the potential blast radius of a successful manipulation attempt is constrained. As AI agents become more autonomous and embedded into enterprise workflows, security must move deeper into architecture. The goal is not to claim invulnerability. It is to reduce trust concentration and contain systemic exposure when failures occur. AgentFlayer was not simply a one-off exploit. It was a reminder that in autonomous systems, execution-layer design determines how risk propagates.

Nesa

17,038 görüntüleme • 4 ay önce

🚨 COMPUTER CHIPS MAY HAVE JUST ESCAPED A MAJOR LIMIT OF MODERN COMPUTING. For decades, Moore's Law predicted that computing power would keep growing as engineers packed more transistors onto chips. But there was a problem: We're running out of room. Now scientists at the University of Illinois have demonstrated a new type of 3D computer chip that stacks transistor layers vertically instead of spreading them across a flat surface. Think skyscrapers instead of suburbs. Why this matters: • More computing power in the same space • Faster communication between circuits • Potentially lower energy consumption • A path beyond today's chip scaling limits The breakthrough solves one of the biggest obstacles in 3D chip design: Heat. Previous stacked chips risked damaging lower layers during manufacturing. The new approach uses ultra-thin silicon membranes and low-temperature fabrication techniques that allow multiple layers to be built without destroying the layers below. Researchers have already demonstrated working logic circuits and memory cells across three stacked layers. And they believe many more layers could follow. The future of computing may not be smaller chips. It may be taller ones. Follow for more future technology and frontier science breakthroughs.
0:10

🚨 COMPUTER CHIPS MAY HAVE JUST ESCAPED A MAJOR LIMIT OF MODERN COMPUTING. For decades, Moore's Law predicted that computing power would keep growing as engineers packed more transistors onto chips. But there was a problem: We're running out of room. Now scientists at the University of Illinois have demonstrated a new type of 3D computer chip that stacks transistor layers vertically instead of spreading them across a flat surface. Think skyscrapers instead of suburbs. Why this matters: • More computing power in the same space • Faster communication between circuits • Potentially lower energy consumption • A path beyond today's chip scaling limits The breakthrough solves one of the biggest obstacles in 3D chip design: Heat. Previous stacked chips risked damaging lower layers during manufacturing. The new approach uses ultra-thin silicon membranes and low-temperature fabrication techniques that allow multiple layers to be built without destroying the layers below. Researchers have already demonstrated working logic circuits and memory cells across three stacked layers. And they believe many more layers could follow. The future of computing may not be smaller chips. It may be taller ones. Follow for more future technology and frontier science breakthroughs.

TheNewPhysics

21,306 görüntüleme • 1 ay önce

💬 We get asked If I launch two different strategies on my Vault, will they mess up each other's positions? ❕ Answer from a GT App Trader: They won’t. That was actually the biggest issue with running a Vault - everything used to mix into one messy pile. 🔸 Divided Spaces Now you can run multiple separate strategies simultaneously. Thanks to isolated margin, each setup lives in its own independent space. One strategy will never touch or accidentally close the positions of another. 🔸 Automatic Capital Adjustments If an investor suddenly withdraws funds mid-trade, you don't need to panic and recalculate sizes manually. The platform automatically tracks the new balance, resizes the open positions, and updates the parameters on the fly. Run separate setups on a single Vault without them ever crossing paths.
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💬 We get asked If I launch two different strategies on my Vault, will they mess up each other's positions? ❕ Answer from a GT App Trader: They won’t. That was actually the biggest issue with running a Vault - everything used to mix into one messy pile. 🔸 Divided Spaces Now you can run multiple separate strategies simultaneously. Thanks to isolated margin, each setup lives in its own independent space. One strategy will never touch or accidentally close the positions of another. 🔸 Automatic Capital Adjustments If an investor suddenly withdraws funds mid-trade, you don't need to panic and recalculate sizes manually. The platform automatically tracks the new balance, resizes the open positions, and updates the parameters on the fly. Run separate setups on a single Vault without them ever crossing paths.

GT Protocol

32,245 görüntüleme • 2 ay önce

That dog in your photo? He's got something to say. 🐶 Turn your images into eight-second video clips with sound effects and speech in the Google Gemini and Flow from Google Labs. This feature uses Veo 3 to generate motion that reflects real world physics and includes a new experimental audio capability so you can really bring your images to life. Try it at and
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That dog in your photo? He's got something to say. 🐶 Turn your images into eight-second video clips with sound effects and speech in the Google Gemini and Flow from Google Labs. This feature uses Veo 3 to generate motion that reflects real world physics and includes a new experimental audio capability so you can really bring your images to life. Try it at and

Google AI

55,236 görüntüleme • 1 yıl önce

IS THIS AUCKLAND OR MUMBAI? Right now in Manurewa, it’s shut down for hours for a Sikh religious parade. Roads closed. Locals disrupted. Businesses affected. Families stuck. And the most confronting part? Men openly carrying swords & daggers on public streets. Kiwis are left asking a fair question: Since when is it acceptable to parade bladed weapons on our streets? That is not normal in New Zealand. That is not the Kiwi way of life. And it should never be waved away as just “culture.” We do not parade weapons in public. We do not shut down suburbs for foreign religious displays. And we do not run different rules for different groups. If a Kiwi group marched through a South Auckland suburb with weapons on display, the response would be immediate. Police. Media outrage. Politicians lining up to condemn it. If you choose to live here, it’s Kiwis First. Our laws and public norms come first…not imported religious practices that clash with public safety. Multiculturalism is a failed experiment. And multiculturalism should never mean losing our common sense or erasing the Kiwi way of life. This is Auckland, New Zealand. Not a free-for-all. Not a foreign showcase. One nation. One people. One law. One vote. One standard. One Flag. Under One God. Respect the nation you live in…and don’t expect the nation to bend the rules for you. Keep NZ, NZ. More action to come…
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IS THIS AUCKLAND OR MUMBAI? Right now in Manurewa, it’s shut down for hours for a Sikh religious parade. Roads closed. Locals disrupted. Businesses affected. Families stuck. And the most confronting part? Men openly carrying swords & daggers on public streets. Kiwis are left asking a fair question: Since when is it acceptable to parade bladed weapons on our streets? That is not normal in New Zealand. That is not the Kiwi way of life. And it should never be waved away as just “culture.” We do not parade weapons in public. We do not shut down suburbs for foreign religious displays. And we do not run different rules for different groups. If a Kiwi group marched through a South Auckland suburb with weapons on display, the response would be immediate. Police. Media outrage. Politicians lining up to condemn it. If you choose to live here, it’s Kiwis First. Our laws and public norms come first…not imported religious practices that clash with public safety. Multiculturalism is a failed experiment. And multiculturalism should never mean losing our common sense or erasing the Kiwi way of life. This is Auckland, New Zealand. Not a free-for-all. Not a foreign showcase. One nation. One people. One law. One vote. One standard. One Flag. Under One God. Respect the nation you live in…and don’t expect the nation to bend the rules for you. Keep NZ, NZ. More action to come…

Brian Tamaki

134,547 görüntüleme • 7 ay önce

1/ We've all been aware of the hype surrounding Dreamina Seedance 2.0, and I finally got early access to the tool. And wow, I'm blown away. This is by far the best. It is starting to make AI video feel less like "generate a clip" and more like "direct a scene." What stood out to me is the level of control: camera motion, pacing, visual consistency, and the ability to build from multiple references inside one workflow. Some of the prompt directions that feel especially strong: - a busy modern city square during daytime. Suddenly, time freezes completely - a single continuous camera movement through a natural landscape that transitions through all four seasons in one shot - an underwater bioluminescent city waking up at dawn The big shift is this: One Prompt, Viral Remade. Edit Videos as Easy as Editing Photos. Dreamina Seedance 2.0 feels like a real step toward AI-native directing rather than just AI generation. Here are some examples 🧵:
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1/ We've all been aware of the hype surrounding Dreamina Seedance 2.0, and I finally got early access to the tool. And wow, I'm blown away. This is by far the best. It is starting to make AI video feel less like "generate a clip" and more like "direct a scene." What stood out to me is the level of control: camera motion, pacing, visual consistency, and the ability to build from multiple references inside one workflow. Some of the prompt directions that feel especially strong: - a busy modern city square during daytime. Suddenly, time freezes completely - a single continuous camera movement through a natural landscape that transitions through all four seasons in one shot - an underwater bioluminescent city waking up at dawn The big shift is this: One Prompt, Viral Remade. Edit Videos as Easy as Editing Photos. Dreamina Seedance 2.0 feels like a real step toward AI-native directing rather than just AI generation. Here are some examples 🧵:

Chubby♨️

75,394 görüntüleme • 4 ay önce

🚨 SCIENTISTS EXPLAIN: Light doesn’t actually “slow down” in glass time does. And that’s exactly why rainbows exist. For centuries we were taught that light slows down when it enters glass or water, causing refraction. But the deeper reality is more beautiful: light still travels at c between atoms. What changes is the time delay caused by constant absorption and re-emission by the material’s electrons. This tiny delay is different for every wavelength → which is why white light splits into a rainbow. Why this matters: • In vacuum, light always travels at c • In glass/water, the phase velocity and group velocity appear slower due to interactions with matter • Different colors (wavelengths) experience different delays → dispersion • This is what creates rainbows, prisms, and the beautiful colors we see in nature The deeper implication is mind-bending: Light doesn’t “slow down” like a car hitting traffic. It’s constantly being absorbed and re-emitted by atoms, and the accumulated time delay reshapes how the wave propagates. The universe uses time itself as a tool to bend light and paint rainbows across the sky. What do you think is this one of the most elegant explanations in physics? Follow for more frontier optics and quantum explanations.
0:10

🚨 SCIENTISTS EXPLAIN: Light doesn’t actually “slow down” in glass time does. And that’s exactly why rainbows exist. For centuries we were taught that light slows down when it enters glass or water, causing refraction. But the deeper reality is more beautiful: light still travels at c between atoms. What changes is the time delay caused by constant absorption and re-emission by the material’s electrons. This tiny delay is different for every wavelength → which is why white light splits into a rainbow. Why this matters: • In vacuum, light always travels at c • In glass/water, the phase velocity and group velocity appear slower due to interactions with matter • Different colors (wavelengths) experience different delays → dispersion • This is what creates rainbows, prisms, and the beautiful colors we see in nature The deeper implication is mind-bending: Light doesn’t “slow down” like a car hitting traffic. It’s constantly being absorbed and re-emitted by atoms, and the accumulated time delay reshapes how the wave propagates. The universe uses time itself as a tool to bend light and paint rainbows across the sky. What do you think is this one of the most elegant explanations in physics? Follow for more frontier optics and quantum explanations.

TheNewPhysics

89,146 görüntüleme • 1 ay önce