New eval! Code duels for LMs ⚔️ Current evals... test LMs on *tasks*: "fix this bug," "write a test" But we code to achieve *goals*: maximize revenue, cut costs, win users Meet CodeClash: LMs compete via their codebases across multi-round tournaments to achieve high-level goalsshow more

John Yang
106,000 次观看 • 11 个月前
🎮 What is an Esports League? Online gaming has... been around for years, but esports takes it to a whole new level. It’s not just about playing video games—it’s about competitive gaming where skilled players, known as esports athletes, come together to test their mechanics, strategy, and teamwork in a structured and high-stakes environment. An esports league is an organized competition where teams compete regularly across seasons or tournaments, creating opportunities for recognition, rivalry, and growth in the gaming scene. At Arena of Faith, our vision is clear: To become one of the leading esports titles in the Web3 space. We’re committed to that future — slowly but surely, building the foundation for a competitive ecosystem where players, creators, and communities can thrive. But reaching this goal requires more than just a team—it takes unity. That’s the reason why we’ve embraced a multi-chain approach—to cater to diverse communities, ecosystems, and players across different networks. Being multi-chain allows us to build a more inclusive, collaborative, and far-reaching foundation for the future of Web3 esports. We can't do this without the support of our partners, future collaborators, and our amazing community. We’re all in this together. Let’s build the future of Web3 esports—together. This isn’t just ambition—it’s a revolution in motion. #ArenaofFaith #AOF #MOBA #Web3Gaming #Web3Esports #Web3MOBA $ACPshow more

Arena of Faith
49,974 次观看 • 1 年前
What if you kept asking an LLM to "make... it better"? In some recent work at FAIR, we investigate how we can efficiently use RL to fine-tune LLMs to iteratively self-improve on their previous solutions at inference-time. Training for iterated self-improvement can be costly. The naive approach to training for K self-improvement steps leads to K times the number of rollout steps per episode. We introduce Exploratory Iteration (ExIt), an RL-based automatic curriculum method that bootstraps diverse training distributions of self-improvement tasks by upcycling the LLM's own responses at previous turns as the starting points for both self-improvement and *self-divergence.* In order to decide what task to train on next, the curriculum prioritizes sampling of partial turn histories that led to higher return variance in its GRPO group (a learnability score that comes for free). This automatic curriculum over the bootstrapped task space teaches the model how to perform iterated self-improvement while only ever training the model on single-step self-improvement tasks. We look at ExIt's impact in both single-turn (contest math problems) and multi-turn (BFCLv3 multi-turn tasks), as well as MLE-bench, where the LLM is run in a search scaffold to produce solutions to real Kaggle competitions. Across these eval settings, we find ExIt produces models with greater capacity for inference-time self-improvement compared to GRPO. Notably, ExIt models can self-improve on test tasks for many more steps than the typical solution depth encountered during training, including a 22% improvement in MLE-bench performance compared to GRPO.show more

Minqi Jiang
41,154 次观看 • 1 年前
SERAPH: A new round of major events in Diablo... is about to begin! 🚀 Each new event is a new opportunity. Let's first review the achievements SERAPH has made before. 🏆 Seraph Achievements: Genesis NFT (Weapons) 0.06e ==》0.628e 💎 SERAPH Priority Pass Freemint ==》3.2e 🚀 In traditional GameFi, the issue of the death spiral of the initial NFT launch is often encountered. However, SERAPH achieved a tenfold floor price increase with a public sale of 0.06e and has stably maintained this position. This highlights the commendable tokenomics of the project. 📈 Additionally, SERAPH's gameplay is quite impressive. The Twitter community shows a high level of engagement, with many players sharing their gaming experiences. During the third testing phase, players were not just playing SERAPH for profit but were immersed in the game, experiencing the storyline and the thrill of gameplay. 🎮🔥 New Major Event: After the War of Light, the life fortress of Seraficia faces energy depletion. As chaos spreads, the Archangel Seraf crafted the World Ring from the souls of all life, a powerful shield against chaotic attacks. 🌌🛡️ To protect the hard-won peace, fallen heroes are bestowed with new souls, transcending the limits of time and space. Barbarians, Valkyries, Witches, and Necromancers reassemble on the lands of Seraficia. Reborn SOULs, the legends of heroes. 🌟 In the shimmering rune light, we summon the most outstanding legion of heroes to face this gradually collapsing world. ⚔️ >>Hero Series NFT The newly launched Hero Series PFP NFT primarily features human heroes such as Barbarians, Valkyries, Witches, and Necromancers. It also includes angels, demons, and other otherworldly races, showcasing numerous characters developed in the game so far. 🎭 Specific Acquisition Methods: Hero Series NFTs will be sold through a limited whitelist and public sale lottery. Whitelist distribution channels include: 【Veteran Players Exclusive】- Ongoing support from our veteran players; 【DC Exclusive】- New players participating in this DC event; 【Community Collaboration】- Communities collaborating with Seraph. 【Veteran Players Exclusive】 Veteran players will have their whitelist distribution rules, which can be followed in later project updates. 【DC Exclusive】 New players can acquire whitelist status by participating in various activities in DC, accumulating Soul shards through DC events. Ways to earn them include: 1⃣️ Participate in team-organized activities and games. 2⃣️ Create unique and high-quality content, such as videos, posts, art, to earn Soul shards. 3⃣️ During flash community events/tasks, active community members may discover additional Soul shards. 4⃣️ Interact with the Engage bot in the 💠│engage channel. 5⃣️ Warriors making genuine contributions to the community may receive random Soul shard rewards. 【Community Collaboration】 Members of gaming communities can participate in special activities in their own communities to obtain whitelist spots. T1 labs will also have a series of events to secure whitelist spots. 🤝 SERAPH Elite Test Server Note: The test server does not involve digital assets, and all data will be uniformly deleted after the test. 🧪 To welcome the new content, the game's official release includes a small-scale test. This test is mainly for early experience and bug testing, providing an opportunity to explore new features. Players are encouraged to actively participate and explore to get a glimpse of what's to come. 🌐 Test Start Time: February 5, 2024, 11:00 (UTC+8) 📅 Test Method: Limited invitation using activation codes 💌 Invitation Targets: Top-ranking users from the previous three game tests; Active users involved in SERAPH community building. 🎉 Test Content: Significant structural and numerical optimization of the economic system; All-new concepts for NFT treasures; Comprehensive adjustments to skill balance and numerous detailed optimizations and bug fixes, etc. This test is open for PC/IOS/Android, allowing testing across multiple platforms simultaneously. 🕹️📱💻 Research Analyst: yuyushow more

T1 Labs
12,551 次观看 • 2 年前
This creative has pulled in a 33% hook rate... and 6x ROAS since we started running it on the client's TikTok ad account. Across the board it's worked extremely well. But why? It's not only relatable, but it's very straightforward We're showing a fit creator How many of us aspire to be in that good of shape? The idea is to show an aspiring fitness level And how someone who is busy can achieve it, even if they don't have a ton of free time We don't want to sell an intimidating amount of work that needs to be done Because no one wants to think about doing 2 hrs of exercise every day + dieting + supplements Workout WHILE you do other tasks Remove the pressure of going somewhere else to workout You can see there aren't a ton of shots. Kept it simple and just had different angles of the creator using the product. So what can you take away from all this? #1 - Give the viewer realistic goals they can achieve with the product (taking 10k steps, rather than "you'll lose 30lbs" - seems much more believable). #2 - Video doesn't have to be complex. If your product is very visual, just showcase the product being used. You don't need to get fancy with your edits. Let the product do the selling.show more

Nacho Vanzini | DTC Growth
42,144 次观看 • 2 年前
The term "continual learning" has become overloaded if you... see it as an ML problem. One classic thread is about memorization: regularization-based continual learning methods, such as EWC, MAS, and SI, estimate which parameters mattered for previous tasks and resist changing them too much. One modern thread is about adaptation: test-time training and inference-time learning methods, such as TTT, adapt part of the model on the incoming test stream before making predictions. These are sometimes discussed as separate threads. But in modern scalable architectures, I think they are better seen as complementary constraints: a model that learns quickly at test time also benefits from a mechanism for deciding what not to forget. In our #ECCV2026 paper, we study this in large-scale 4D reconstruction: how to build fast spatial memory that can adapt over long observation streams while reducing collapse and forgetting. Instead of using fully plastic test-time updates, we stabilize fast-weight adaptation with an elastic prior that balances adaptation and memory. Key ideas: - Elastic Test-Time Training: Fisher-weighted consolidation for fast-weight updates - EMA anchor weights that provide a moving reference for stability - Chunk-by-chunk inference for long 3D/4D observation streams We show that this scales across large 3D/4D pretraining settings, including both LRM-style and LVSM-style models, and improves reconstruction across benchmarks including Stereo4D, NVIDIA, and DL3DV-140. We release model checkpoints across different design choices: resolution, post-training curriculum, and whether the model uses an explicit 4DGS intermediate representation. - Homepage: - Paper: - Code: - Models: This work is co-led with Xueyang Yu, contributed by Haoyu Zhen Yuncong Yang, and advised by Michigan SLED Lab Chuang Gan.show more

Martin Ziqiao Ma
34,130 次观看 • 4 个月前
Dynamic workflows are a generalization of harnesses, automations, loops,... routing, and graphs. It's the most powerful feature I have built into my agent orchestrator. Supports all kinds of patterns that leverage different agent backends (claude, codex, pi, hermes,...). It's a meta-harness approach that unlocks new forms of test-time compute. Example of use cases it supports: > LLM councils to get different perspectives from LLMs or plan more intensively > Dynamically routing tasks to different agents based on needs (e.g., cost efficiency and optimal intelligence) > Advisor/Judge + executor workflows and pretty much any complex graph-based pattern required by the task. I find it especially useful for long-running work and code reviewing. > Agent teams that talk to each other if needed for the task. I like to use this for AI editing, artifact creation, and other creative tasks. And I am sure it supports so many things that I haven't discovered yet. I got inspired by the dynamic workflow feature released by the Claude Code team. I had actually built it earlier this year but wanted to generalize it across different agent backends. I think this is going to become more popular in the coming days. I will share more of my findings soon.show more

elvis
32,897 次观看 • 2 个月前
Introducing my new OSS framework: OhSnap provides really simple... way to record and reproduce the data your users saw when encountering an issue (bug/crash), integration in your project should take a few minutes at most. Majority of bugs are related to data you have to deal with and often times we have to work with frequently changing data via network API's. Even if you have access to multiple environments (prod/staging/dev) it's still going to be PITA to reproduce a lot of bugs your user saw, since we often get to them a long time after the bug occured... OhSnap allows you to easily record any data your app downloads, pack it and put it on server so that you can replay it on your device later on, while connected to debugger and save hours of development time trying to figure out what exactly they experienced! Here's a demo of 2 app instances running, and me manipulating what server reply I'll be getting, there is 1 line of code needed to record and reply this data (outside of just setting up your framework). I built this so that I can show dev tool building process for the members of which I encourage you to join if you want to put your engineering efficiency at a different level😉show more

Krzysztof Zabłocki
30,484 次观看 • 2 年前
Wonderland: Navigating 3D Scenes from a Single Image Contributions:... • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.show more

MrNeRF
52,849 次观看 • 1 年前
Boom! Grok Tasks Make It One Of The Most... POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3show more

Brian Roemmele
152,242 次观看 • 9 个月前
Jointly announcing EAGLE-3 with SGLang: Setting a new record... in LLM inference acceleration! - 5x🚀than vanilla (on HF) - 1.4x🚀than EAGLE-2 (on HF) - A record of ~400 TPS on LLama 3.1 8B with a single H100 (on SGLang) - 1.65x🚀in latency even for large bs=64 (on SGLang) - A new scaling law: more training data, better speedup - Apache 2.0 Paper: Code: SGLang version: ⚒️Takeaway: Introducing training-time test, a novel draft model training technique: we replace feature prediction with direct token prediction and shift from top-layer-only features to multi-layer feature fusion. This approach unlocks a new scaling law previously undiscovered in EAGLE and EAGLE-2. 🙏Acknowledge: We would like to thank the SGLang team (zhyncs Lianmin Zheng Ying Sheng James Liu, Ke Bao, and others LMSYS Org) for their merge and careful evaluation of EAGLE-3 on SGLang. 🤝Want to collaborate? We're a small academic group with limited GPU resources. If you're interested in supporting our next version of EAGLE or would like us to train a preliminary version tailored to a specific model, please get in touch! Joint work with Yuhui Li, Fangyun Wei, and Chao Zhangshow more

Hongyang Zhang
42,597 次观看 • 1 年前
For new followers: - I'm a long-time investor and... builder in this space. - Founding Contributor of Realms.World ☁️. - Co-founder of Dojo. - Builder with the kings at Cartridge. - Starknet (Privacy Arc) class of '21. - Founder and Game Director of ETERNUM HAS MOVED. - Founder of Daydreams.Systems (x402, 8004 agents) My prime purpose for the past three years has been to build onchain infrastructure to enable the next generation of onchain experiences. This is done Starknet (Privacy Arc) as it is the superior VM for building complex applications—this will become clear soon enough. I work up and down the entire stack, from low-level indexing and contracts to GUI design. Nothing is out of scope. I have been pushing on agents for two years, mostly using existing frameworks like , until I came across @ElizaOS_ai in October. As I focused on building agents for ETERNUM HAS MOVED, it became clear that agents playing games require infinite paths to achieve goals. Thus, it's not scalable to hardcode functions—agents need to have total fluidity to take any action or call anything the game requires in any order. And ironically onchain infra is perfect for agent playgrounds because of its open nature. This exploration led me to create Daydreams.Systems (x402, 8004 agents), which focuses on the hardest problems of agents: long time-horizon goals using Hierarchical task networks (HTN). Daydreams agents don't require custom code—they work entirely based on 'sleeves'—which are just markdown files that explain how the agent can interact with the service (API docs, game guides, etc.) My thesis is simple. By focusing on the hardest problem (games), the design of the library will naturally lean towards an optimal structure for any problem an agent could face. We are early in this path and iterating with speed. If you are an onchain app developer or game builder—DM me, I want to know the architecture of your game so we can build sleeves together.show more

loaf
43,320 次观看 • 1 年前
The Amiko app is live on the Solana dApp... store, and it’s our biggest release yet. Your Amiko twin doesn’t live at your desk anymore. Give your agent a task on the train. Run a compatibility profile when you meet someone. Do research, write code, build in the creative studio, whatever you need, from wherever you are. No laptop required. No waiting until you get home. Solanamobile users get two things Android and iOS won’t have at launch: Amiko token and crypto integration and on-device AI inference. Your twin runs locally on your phone if you want it to. Your behavioural profile, your data, your work, your twin. All on your hardware. AMIKO runs on OpenHermit, our own open-source agent runtime that we built in-house and released to the community. Most agent systems are designed for one agent talking to one person. OpenHermit is built for something different: agents talking to each other, coordinating across tasks, and collaborating with multiple humans simultaneously. That’s what makes features like compatibility profiling and multi-agent workflows actually work. We built it because nothing that existed was designed for this. Android and iOS are coming. Crypto integration and on-device AI are Solana Mobile exclusives. Most AI answers your questions. Amiko is an extension of you. Download →show more

AMIKO
124,860 次观看 • 4 个月前
A look back at our mission to do /more.... 🔥🛠️ Months ago, we entered a new growth phase for xLaunchpad, driven by a simple commitment: to do more. More exciting startups, more platform improvements, and a deeper, more meaningful connection with our community. /new We’ve introduced multiple initiatives to make participation in xLaunchpad more accessible, while still keeping EGLD stakers at the core of the experience: 🔸 Challenges Portal – Built in partnership with ᕈulsar Money, this platform allows users to earn lottery tickets by completing simple tasks. 🔸 Creators Program – A reward system for users who create valuable content about xLaunchpad and its projects. 🔸 xLaunchpad Users – Loyal participants from previous launches now have a chance to earn lottery tickets. 🔸 Project Users – Projects launching on xLaunchpad can distribute lottery tickets to eligible users based on set criteria. 🔸 EGLD Holders – Tickets can now be earned simply by holding EGLD in a wallet. Beyond these initiatives, we’ve also strengthened relationships with key community members, empowering them to write educational content about upcoming startups with full creative control on their side. And of course, we’ve introduced more projects and focused on accelerating launch timelines. /better The platform and lottery system have undergone continuous improvements, such as making participation more accessible as detailed above: 🔸 Faster EGLD Reclaims - Users now get their EGLD back more quickly after participation. 🔸 Improved Communication – Blog & X Articles covering both general topics and project-specific updates. Increased community discussions and more structured feedback collection. 🔸 Website Enhancements - Various UI/UX tweaks, with /more to come 👀. 🔸 Integrating AshSwap - Users could buy lottery tickets for the last project with any tokens. 🔸 KYC Improvements - Streamlined processes, with /more to come 👀. Additionally, we’ve successfully co-launched projects with other launchpads and supported startups in securing partnerships, listings, business deals, and legal guidance. xLaunchpad remains one of the most compliant launchpads, ensuring projects align with MiCA regulations and broader industry standards. /next Looking ahead, our main focus remains on the product and the community. Every improvement is guided by real user interactions and feedback, ensuring xLaunchpad continues to evolve. At its core, our mission revolves around two key goals: 1️⃣ Bringing exciting startups to life 2️⃣ Providing users with investment opportunities on the best terms For xLaunchpad and its community to thrive together, it’s essential to recognize these two pillars while understanding the platform’s bigger purpose: making something possible that wasn’t before - allowing retail users to participate in the early launch of promising projects and benefit through multiple avenues. From investments to early adoption, and from unlocking key benefits to shaping young startups. We cannot stress enough how much effort the team puts into achieving these key goals, and we’re grateful to have you by our side on this mission. /moreshow more

xLaunchpad
22,927 次观看 • 1 年前
Watching all these tech coins gave me an idea,... and I realized it could become something bigger: a real project that people would actually find useful. Welcome to Blueprint. Build fully functional, scalable apps with your own logic, backend, and custom domain. Not just landing pages. Meet Blup, our custom AI agent built specifically for the platform. A complete app typically costs around $1.50 in building credits, depending on complexity. Blup is trained to build high-quality apps that look as good as they work. But your prompt matters too. The clearer your vision and instructions, the better the result. Token holders receive daily free credits based on their holdings. Shortly after launch, we plan to introduce a marketplace where you can sell unused credits. Blueprint takes a 10% share of fees generated by products built on the platform and uses it to buy back and burn the Blueprint token. All project revenue goes toward buying back and burning the Blueprint token. New users get 300 free credits to start building their first app. There’s a queue, so you may need to wait a little. Blueprint GgsSaetRZNCuP9HEWjbojtVWByRWFxpr93S1wtGFpump Read the article: The video shows it in action.show more

02ZERO (DEV ARC)
28,925 次观看 • 24 天前
PART 2: I FOUND 20 MORE PROMPTS IN LAUREN... TAN'S PUBLIC PSTACK. USE THEM IN GROK BOT WHEN "BUILD THIS" STOPS WORKING. part 1 gave you 50 prompts pulled from the public xAI company build. for part 2, I went through Lauren Tan's public pstack, which is available inside her Grok Bot. I converted 20 real playbooks into paste-ready commands for when a build starts touching production. 1. find the failure › 01. reproduce [bug]. find the root cause, fix it, and prove it at runtime. › 02. profile [slow flow]. show the baseline, identify the bottleneck, and measure the result after the fix. › 03. diagnose [live symptom] from instrumentation. do not guess from the source code alone. › 04. inspect [trace]. rank the likely causes and verify the dominant one in the running product. 2. settle the design › 05. /architect settle the caller, types, data shape, and module boundary before writing code. › 06. /blast-radius trace every caller this change could break. prove the condition that makes it safe. › 07. build two throwaway prototypes. assign one agent to each and compare them side by side. › 08. /arena run my request unchanged across multiple models. combine only the strongest parts of each proposal. 3. build against reality › 09. build [feature] behind a feature flag. verify the user-visible behavior inside the real app. › 10. compare [reference screenshot] with [current screenshot]. reproduce the mismatch and iterate until they match. › 11. /tdd reproduce this bug with a failing test first. implement the smallest fix and rerun the test. › 12. migrate every caller to [new API]. preserve existing behavior and delete the legacy path. 4. attack the work › 13. /swarm give one package to each worker. run its check script and return one consolidated report. › 14. /interrogate review this PR. ask several models to find correctness, design, and code-quality failures. › 15. /show-me-your-work keep a reviewable trail of decisions, rejected alternatives, and evidence used. › 16. split [migration] into verifiable phases. make sure every phase ends in a shippable state. 5. finish without babysitting › 17. watch PR 123 until it is merge-ready. resolve conflicts, review threads, and CI failures. › 18. verify every PR independently. report exactly what prevented any PR from merging. › 19. /reflect capture why this task took too long. turn the lesson into a reusable skill or automated check. › 20. /automate-me study my recent workflows and draft a personal mode that routes through pstack. with these prompts, Grok Bot stops being a code generator and becomes an engineering workflow you can inspect. bookmark part 2 for the first task that survives the demo but fails in production.show more

kocer
14,290 次观看 • 27 天前
I conducted a multi-agent code audit where 48 Claude... agents check a repository in parallel Modern automation excels through graph architecture, allowing a network of tailored AI units to tackle intricate problems together Here is how the process works: 48 Claude models inspect distinct segments of the same codebase at the same time A fresh batch of agents operates with an empty context to independently double-check every identified bug or security loophole Git worktree isolation ensures parallel processing runs smoothly without any merge clashes The system tracks tangible validation metrics, such as passing test runs The final deliverable is a unified report featuring only fully validated findings This isn't about scaling up bot counts for the sake of it, but rather crafting intelligent pipelines. You unlock top-tier performance by trimming down unnecessary bottlenecks instead of merely stacking more AI tools Next-gen software engineering relies on multi-agent setups where models validate their own output at every turn instead of just producing plain text Check out the step-by-step breakdown in the article linked below and save it to your bookmarks for latershow more

Bober_smart
16,818 次观看 • 21 天前
🚨 DEEP DIVE INTO THE RWA LAUNCHPAD + NAME... REVEAL 🚨 Hello EstateX family, The time is there: our RWA Launchpad is about to kick off. We will specifically focus on the RWA niche with only winner projects. The name has to be fitting, something that catches the attention, is easily recognizable and something that people remember. We’re proud to announce: *RWA Pad!* 💸 $ESX USE CASES 💸 RWA Pad will incentivize $ESX massively by: ✅ 20-35% of revenue flowback into $ESX ✅ Projects need to have a …/$ESX trading pair, giving more mass exposure ✅ Investors need to stake $ESX to get access to the best RWA projects ✅ Projects building on the $ESX Blockchain, increasing volume and TVL 🚀 MORE DETAILS OF RWA PAD 🚀 We will critically evaluate every project filtering the best of the best to make sure we only select projects who have the real potential to be the winners of this market. With our powerful EstateX community, who are hugely incentivized for the long term we will make sure we incubate the projects to dramatically increase their chances of success. We do that by facilitating legal frameworks, providing whitelabel technology, access to the ESX Blockchain, our marketing, network and community building to push them to the next level. Investors will be able to participate via access tiers, locking $ESX to get access to the best RWA projects. With current launchpads, a huge problem are their refund policies. Unfortunately this incentivizes short term investors to dump everything because they’re protected by refunds. We will change that, by introducing staking incentives for long term, high quality RWA projects. Our audience is vastly different the other launchpads. With being one of the highest staked ICO’s on the market, our community is very long term and high quality focused. By bringing these same terms to our launchpad projects, we are able to bring high quality audiences and create a win-win-win situation for our investors, projects and EstateX. The most beautiful thing about it? By selecting winner projects only who have built the right foundations, they will bring their audience to EstateX buying the token, staking to get access, building on the blockchain and make use of the $ESX trading pair all having a positive price effect on $ESX. The time is here, Q3 promises to be something massive. RWA Pad, powered by $ESX. SECURE YOUR $ESX NOW 👇👇show more

EstateX
168,669 次观看 • 1 年前
I don't have all the answers here, but I... have thought about this a *lot*, so hopefully I have some: 1) Society needs both great men and Great Men. Every man should aspire to be the former; aspiring to the latter is unwise, as "the true road lies in quite another direction." 2) Life is WAY easier when you integrate your personal and professional life to the maximum degree. I try (extremely hard) to be the same person to my wife, kids, friends, co-workers, and strangers on the internet. Then fun time, family time, and work time can all use the same oh-so-finite minutes of the day! 2a) Tactically — bring your kids/family along with you on adventures. My kids have been to some incredibly non-kid-friendly places: space conferences, podcast recordings, industrial facilities, rocket launches, etc. And those adventures have been are some of my (and their!) most treasured memories. 3) You absolutely must become a morning person. Sorry. 4) I found that fatherhood was the ANSWER to my hunger in many ways. I was ambitious, certainly. But having kids made me realize that "ambition" is kinda fake; it's striving without a true end goal. (No, fame, riches, and "doing something important" are not true end goals.) 4a) As soon as you look your own child in the eyes — now THERE'S an end goal. Ineffable to anyone who hasn't had a kid, maybe, but I had an immediate, intense desire to keep my kids safe, and loved, and fulfilled. And a lifetime of anxious wondering if I was doing the right thing just washed away... there was the right thing, in my arms! 4b) Goals are awesome. I love goals. They are how I find motivation. But I have learned through a lot of trial and error that goals that focus on Me Me Me are unfulfilling even if I achieve them. Naked ambition is the ultimate Me Me Me goal... and it's much better to set goals about who you want to be to other people. (I need to write more about this; it's basically Alasdair Macintyre's read of Virtue Ethics, if folks are curious.) 4c) A tweet that has always stuck in my mind forever: "oh you're "high agency"? that's cool, what can other people rely on you for?" 5) If I've learned just one thing about "difficult" experiences in life, it's that as soon as you increase the difficulty level further, what you did before seems easy. Like the pre-kid life to me, now. Therefore, the answer to feeling like you can't possibly be a great dad and great in your career.... is to have even more kids!! (Kidding. Kinda.)show more

Christian Keil
61,002 次观看 • 2 个月前