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.show more

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.show more

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)show more

we just released a new blog "Training a coding... agent using the OpenCode harness in remote HF sandboxes with TRL and OpenEnv" you can take a real coding agent (OpenCode), let it run its own tool loop against real coding problems, and train it with RL on the exact tokens it produced and every rollout runs in its own remote HF sandbox, so rollouts scale out beyond one machine the loop: - OpenCode owns its tool loop inside an OpenEnv sandbox - an in-sandbox proxy records the real token ids + logprobs, per turn - a hidden-test verifier scores the result, and that is the reward - TRL trains with AsyncGRPO, weights sync back to vLLM over NCCL blog + runnable example:show more

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 scaleshow more

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.show more

No one voted for her. Yet we pay her... roughly $240,000 a year. And this is what she brings to Senate Estimates. While you're dealing with cost of living, housing, energy, and everything else that actually affects people, Labor's youngest senator uses her limited airtime to tell the ABC boss she went and looked at the new Bananas in Pyjamas set in Adelaide. Then the room laughs. And that's it. That's the contribution. A grown adult in a $240k public job, sitting in the Australian Senate, giggling about giant cartoon characters.show more

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!show more

Growing Sl8 Means Growing Its Community Our work on... expanding Sl8 never stops. One of the key priorities for Cassator is continuously bringing new users and new creators into the ecosystem - not through isolated campaigns, but by building long-term relationships with influencers, communities, and partners across different markets. Today, Sl8 is already supported by a growing number of influencers from different countries and across multiple social platforms. This gives us a strong foundation to keep expanding our reach, strengthening awareness around the platform, and introducing Sl8 to new audiences. One of the markets currently in active development is the GCC region, where we are now significantly scaling our presence. We are preparing a large-scale creator campaign focused on bringing new audiences into Sl8, and 48 influencers have already agreed to work with us as part of this expansion. At the same time, negotiations continue with a much broader pool of creators across the region. Our approach is to enter each new market through relevant local creators and communities, building awareness around Sl8 and converting that attention into a growing, engaged user base. The expansion process continues to gain momentum, with new creators, partnerships, and markets joining the Sl8 ecosystem step by step.show more

Vorflux has opened its new cloud platform, allowing users... to run tasks from a plan to a merged PR on a dedicated machine. It can plan, build, test, and review on its own. > Diff reviews are done by a different model family than the one that wrote it by default. > First boot is saved as a snapshot, with all subsequent sessions waking up from that same starting point. > A browser agent walks through the real user flow, and the recording is included in the pull request. Video proof in the PR 👀show more

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.show more

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.show more

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 #brawlstarsshow more

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.show more

$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.show more

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:show more

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)show more

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).show more

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.show more

If you spend $2,000 a month and pay for... ChatGPT and Claude, this card hands you around $1,000 back a year - and almost nobody has done the math > 3% base cashback on Core, 5% on your AI subscriptions > Bump to Platinum and AI cashback jumps to 10%, with Claude Pro and ChatGPT Plus bundled in - roughly $500 of subscriptions covered before you count a single cashback dollar Access Code: W6TRRM That is money coming back on spending you were doing anyway. Groceries, subscriptions, the AI tools you already pay for One honest catch I cover in the article - the cashback pays in $XPL, a volatile token and the rate is capped and laddered, not flat. So run your own numbers, do not take a headline rate as gospel But the structure is real. Every other card treats your AI bill as ordinary spend. This one turns it into your highest earning category Full math, every tier, every tradeoff, in the articleshow more

💬 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.show more