quote: RT @anonenonenonene: H3すげー
やっぱレイヤーに対する理解がすごいんかな
#MiniMaxH3 @Hailuo_AI https://t.co/QeLmxHyQw9 | 🔥 If I tell you this is how I create my characters, don't believe me.
With this prompt, you can turn your character reference into a 15 second creation process video. From rough sketch to final render, the whole build comes together on screen inside a drawing UI.
MiniMax H3 - You can find the prompt below.
0·-Neutral
n
news9/7news
Grok Build just got another big update, taking another major step toward becoming a full agent workspace
Desktop app tools now connect through a dedicated first-party MCP server, a new long-running workspace daemon can expose folders to Computer Hub, finished subagents can be continued instead of restarted, and background agents now return their actual output directly
Add better diff previews, smarter tool priority, stronger safety around destructive Git commands, and faster session startup
Release Notes: v1.0.22
Features: • Built-in agent tools now take precedence over user MCP servers when tool names collide. • Desktop app tools are now available through a dedicated first-party MCP server. • Remote control pickers can now group servers by device using announced device identity. • edit_file diffs now show real file line numbers instead of starting at line 1. • Permission prompts for file edits now auto-expand the diff row so you can see the change before approving. • Sending a message to a finished subagent now continues that same subagent instead of failing. • Background subagent completion messages now show the actual output instead of just a pointer to run the tool. • Dashboard now shows a unified header with location picker and an actions row for creating agents or resuming previous sessions. • New `grok-workspaced daemon` mode lets a long-lived process expose folders to the Computer Hub (separate from the Desktop-supervised sidecar).
Bug Fixes: • MCP connectors now correctly show when they need re-authentication even if no tools are listed. • Extensions modal shortcuts now work when the tab bar is focused, and invalid actions on headers show helpful messages. • Send now button and shortcuts now work correctly when an automatic background turn is running. • Resumed sessions now show the exact text you typed for mid-turn follow-ups instead of the wrapped system message. • `/skills` command now updates the model with newly installed skills even when written from another NFS client. • Auto mode no longer instantly runs destructive `git checkout --` commands; they now go through the model for safety. • Fixed a crash that could occur when restoring pasted content after certain skill injections or rewinds. • Subagents and workflows now respect the same bash timeout and auto-background settings configured for the parent session. • Fixed model backend selection so an explicit chat_completions setting in config.toml is no longer overwritten by same-slug siblings. • Slash command advertisements no longer spam repeatedly when your current directory is your home folder. • Foreground shell commands no longer produce spurious background-task reminders or incorrect kill results. • Queued follow-up buttons now appear in the order [Send now][edit][cancel]. • `/compact instructions` in the pager are now passed to the compaction backend (bare `/compact` is unchanged). • `/goal` (and resume) after pressing Esc now correctly starts the goal planner instead of failing with "Planning failed". • run_terminal_cmd now correctly tells the model that foreground commands are backgrounded after ~15s instead of the 120s timeout value. • Skill announcements no longer repeat the same list of available skills multiple times in a session. • Monitor events in multi-session processes now correctly wake idle sessions instead of being buffered until the next prompt.
Performance: • Opening or resuming sessions no longer pauses the interface while reading MCP config files.
5·CNeutral
t
twitter9/7meme
quote: A hotel search yielding stale rates is bad state management. Exposing another user's prompt is a lack of access control.
If memory isn't encrypted, isolated, and verifiably updated at the storage layer, agents will keep leaking private context and serving stale outputs. https://x.com/chowtato/status/2096763154785054808 | Today Instinct spent 10 minutes looking up hotel options in NYC just to spit out stale data with prices that do not exist.
Recently it’s been slow, can’t complete forms, and seems to have exposed users’ private memories.
Trust in AI agents will make or break consumer adoption. Agents will need a memory environment that just works - encrypted, private, auditable. That’s @WalrusProtocol’s agentic storage and access control
0·-Neutral
m
meme9/6meme
This Week in Virtuals: Robinhood App Turned On Agent Trading, with Virtuals as the Onchain Infra Layer
VIRTUALS
🟩 @RobinhoodApp rolled Agentic Trading out to 100% of eligible users this week. Onchain, the infra layer agents launch on, trade from and get owned through is now Virtuals Protocol.
🟩 @coinbureau called Virtuals "an entire nation for AI agents, complete with identity, banking, commerce and capital markets," where every agent gets a wallet, a card and an email, and can hire, pay and evaluate other agents.
ECOSYSTEM
🟩 @GoMintly took its agent-managed LP vaults from NVDA and SPCX to the whole index via SPY, then to $MEME, all on @RobinhoodCrypto.
🟩 @ProjectVEXai gave its agents onchain capital access and now trades across @RobinhoodApp, @solana, @arbitrum and 7 more chains.
🟩 @PlayKindra shipped HoodExplorer for Robinhood Chain and routes 90% of its swap fees into buying and burning KINDRA.
🟩 @WizzHQ minted Wizz Units, 2,345 PFPs on Robinhood Chain, clearing 100 in five minutes after fully refunding the paused mint.
🟩 @grid_arena launched Grid v2, one arena for crypto, stocks and prediction markets, with agent Autopilot coming next.
🟩 @useOttoAI has settled 171,539 paid x402 calls on @base and soft launched Otto Stocks for weekend equity gaps.
🟩 @tradeongtr added $BMNR and $SHEIN markets and routed over $180K through its @openfinancelabs partnership.
🟩 @ethy_agent crossed $10M in agent volume only days after passing $6M, and has a private beta of its next build incoming.
🟩 @KarmaWallet crossed $6M total volume after daily volume jumped almost 200% in two days, and Karma Verified now gives 24 hours of zero fees.
🟩 @wardenprotocol ran its first HALO buyback and burn, torching 219,944 HALO, and announced a Token Terminal and Launchpad.
🟩 @reppo launched its Eval API on Base, where 1,000 staked EVAL unlocks up to $1 a day of credits, and burned about 2% of supply.
🟩 @myrad_hq ran its first burn, 7M MYRAD or 0.7% of supply, and now pays epoch evaluators in USDC instead of its own token.
🟩 @mamo has distributed $638K in total rewards, with MAMO now paired against 17 assets on @AerodromeFi.
🟩 @commonsmade hit record usage, 1.3B AI tokens spent in one day against a 2B target, and routed $20K to stakers.
🟩 @OpenGradient has processed 3.32B tokens across 562,860 inferences, every prompt encrypted on device and relayed over OHTTP.
🟩 @Bowyer_App has 28 agents live, and five were specced and launched by another agent scanning GitHub on its own.
🟩 @Wall3_RL's agent called the September rate cut repricing, with CME odds moving 41% to 60% and Polymarket 30% to 52%.
🟩 @bleeep_xyz turned on Agent Automation, where a signed mandate caps capital, daily stop and duration before a single order.
🟩 @sibyl_labs_ closed hackathon registration at 453 builders, and @base is now sponsoring a startup accelerator entry for a top two finisher.
🟩 @RatehopperAI brought LP agents to @base on WETH/USDC as Season 0 wraps up.
🟩 @vantis_ai made its trading engine performance public and previewed an x402 terminal that can LP into Uniswap pools.
🟩 @officialbunnyos turned on Play-to-Earn and its human interface within a week, and is closing in on 500 players.
🟩 @vimenprotocol closed its first USDG payout cycles and now mints baskets from Ethereum, @base, @arbitrum, @solana or Bitcoin.
🟩 @Fletcher_cards put its gacha machines live on @base and BNB Chain, and is opening a TCG Index Launcher for card-backed indexes.
🟩 @PrivacyHood shipped merchant refunds as claim links, plus a printed paper recovery slip its stealth till makes you type back.
🟩 @axol_io routed Raxol agents through @xochi_fi's new TRON support, opening the deepest USDT corridor in crypto to them.
🟩 @Vader_AI_ is running EgoPlay on fixed tasks in changing settings, so every egocentric clip it collects stays comparable.
ROBOTICS
🟩 @pabsclimbs landed in Nepal with Pemba clearing customs, and opened community funding for open-source partners on the $PEAK expedition.
🟩 @xmaquina put its incubated @roboticomarket live and logged 22,000 humanoid units shipped in H1 2026, up 300% year on year.
🟩 @openmind_agi published PHASOR, mapping different humanoid bodies into one shared motion space so behaviour transfers between them.
🟩 @StrikeRobot_ai got DSC Labs, its robotics R&D arm, into @nvidia Inception and cut SR Platform layouts to under five minutes.
0·-Neutral
n
news9/6news
This Week in Virtuals: Robinhood App Turned On Agent Trading, with Virtuals as the Onchain Infra Layer
VIRTUALS 🟩 @RobinhoodApp rolled Agentic Trading out to 100% of eligible users this week. Onchain, the infra layer agents launch on, trade from and get owned through is now Virtuals Protocol.
🟩 @coinbureau called Virtuals "an entire nation for AI agents, complete with identity, banking, commerce and capital markets," where every agent gets a wallet, a card and an email, and can hire, pay and evaluate other agents.
ECOSYSTEM 🟩 @GoMintly took its agent-managed LP vaults from NVDA and SPCX to the whole index via SPY, then to $MEME, all on @RobinhoodCrypto. 🟩 @ProjectVEXai gave its agents onchain capital access and now trades across @RobinhoodApp, @solana, @arbitrum and 7 more chains. 🟩 @PlayKindra shipped HoodExplorer for Robinhood Chain and routes 90% of its swap fees into buying and burning KINDRA. 🟩 @WizzHQ minted Wizz Units, 2,345 PFPs on Robinhood Chain, clearing 100 in five minutes after fully refunding the paused mint. 🟩 @grid_arena launched Grid v2, one arena for crypto, stocks and prediction markets, with agent Autopilot coming next. 🟩 @useOttoAI has settled 171,539 paid x402 calls on @base and soft launched Otto Stocks for weekend equity gaps. 🟩 @tradeongtr added $BMNR and $SHEIN markets and routed over $180K through its @openfinancelabs partnership. 🟩 @ethy_agent crossed $10M in agent volume only days after passing $6M, and has a private beta of its next build incoming. 🟩 @KarmaWallet crossed $6M total volume after daily volume jumped almost 200% in two days, and Karma Verified now gives 24 hours of zero fees. 🟩 @wardenprotocol ran its first HALO buyback and burn, torching 219,944 HALO, and announced a Token Terminal and Launchpad. 🟩 @reppo launched its Eval API on Base, where 1,000 staked EVAL unlocks up to $1 a day of credits, and burned about 2% of supply. 🟩 @myrad_hq ran its first burn, 7M MYRAD or 0.7% of supply, and now pays epoch evaluators in USDC instead of its own token. 🟩 @mamo has distributed $638K in total rewards, with MAMO now paired against 17 assets on @AerodromeFi. 🟩 @commonsmade hit record usage, 1.3B AI tokens spent in one day against a 2B target, and routed $20K to stakers. 🟩 @OpenGradient has processed 3.32B tokens across 562,860 inferences, every prompt encrypted on device and relayed over OHTTP. 🟩 @Bowyer_App has 28 agents live, and five were specced and launched by another agent scanning GitHub on its own. 🟩 @Wall3_RL's agent called the September rate cut repricing, with CME odds moving 41% to 60% and Polymarket 30% to 52%. 🟩 @bleeep_xyz turned on Agent Automation, where a signed mandate caps capital, daily stop and duration before a single order. 🟩 @sibyl_labs_ closed hackathon registration at 453 builders, and @base is now sponsoring a startup accelerator entry for a top two finisher. 🟩 @RatehopperAI brought LP agents to @base on WETH/USDC as Season 0 wraps up. 🟩 @vantis_ai made its trading engine performance public and previewed an x402 terminal that can LP into Uniswap pools. 🟩 @officialbunnyos turned on Play-to-Earn and its human interface within a week, and is closing in on 500 players. 🟩 @vimenprotocol closed its first USDG payout cycles and now mints baskets from Ethereum, @base, @arbitrum, @solana or Bitcoin. 🟩 @Fletcher_cards put its gacha machines live on @base and BNB Chain, and is opening a TCG Index Launcher for card-backed indexes. 🟩 @PrivacyHood shipped merchant refunds as claim links, plus a printed paper recovery slip its stealth till makes you type back. 🟩 @axol_io routed Raxol agents through @xochi_fi's new TRON support, opening the deepest USDT corridor in crypto to them. 🟩 @Vader_AI_ is running EgoPlay on fixed tasks in changing settings, so every egocentric clip it collects stays comparable.
ROBOTICS 🟩 @pabsclimbs landed in Nepal with Pemba clearing customs, and opened community funding for open-source partners on the $PEAK expedition. 🟩 @xmaquina put its incubated @roboticomarket live and logged 22,000 humanoid units shipped in H1 2026, up 300% year on year. 🟩 @openmind_agi published PHASOR, mapping different humanoid bodies into one shared motion space so behaviour transfers between them. 🟩 @StrikeRobot_ai got DSC Labs, its robotics R&D arm, into @nvidia Inception and cut SR Platform layouts to under five minutes.
75·ALong
n
news9/6news
This Week in Virtuals: Robinhood App Turned On Agent Trading, with Virtuals as the Onchain Infra Layer
VIRTUALS
🟩 @RobinhoodApp rolled Agentic Trading out to 100% of eligible users this week. Onchain, the infra layer agents launch on, trade from and get owned through is now Virtuals Protocol.
🟩 @coinbureau called Virtuals "an entire nation for AI agents, complete with identity, banking, commerce and capital markets," where every agent gets a wallet, a card and an email, and can hire, pay and evaluate other agents.
ECOSYSTEM
🟩 @GoMintly took its agent-managed LP vaults from NVDA and SPCX to the whole index via SPY, then to $MEME, all on @RobinhoodCrypto.
🟩 @ProjectVEXai gave its agents onchain capital access and now trades across @RobinhoodApp, @solana, @arbitrum and 7 more chains.
🟩 @PlayKindra shipped HoodExplorer for Robinhood Chain and routes 90% of its swap fees into buying and burning KINDRA.
🟩 @WizzHQ minted Wizz Units, 2,345 PFPs on Robinhood Chain, clearing 100 in five minutes after fully refunding the paused mint.
🟩 @grid_arena launched Grid v2, one arena for crypto, stocks and prediction markets, with agent Autopilot coming next.
🟩 @useOttoAI has settled 171,539 paid x402 calls on @base and soft launched Otto Stocks for weekend equity gaps.
🟩 @tradeongtr added $BMNR and $SHEIN markets and routed over $180K through its @openfinancelabs partnership.
🟩 @ethy_agent crossed $10M in agent volume only days after passing $6M, and has a private beta of its next build incoming.
🟩 @KarmaWallet crossed $6M total volume after daily volume jumped almost 200% in two days, and Karma Verified now gives 24 hours of zero fees.
🟩 @wardenprotocol ran its first HALO buyback and burn, torching 219,944 HALO, and announced a Token Terminal and Launchpad.
🟩 @reppo launched its Eval API on Base, where 1,000 staked EVAL unlocks up to $1 a day of credits, and burned about 2% of supply.
🟩 @myrad_hq ran its first burn, 7M MYRAD or 0.7% of supply, and now pays epoch evaluators in USDC instead of its own token.
🟩 @mamo has distributed $638K in total rewards, with MAMO now paired against 17 assets on @AerodromeFi.
🟩 @commonsmade hit record usage, 1.3B AI tokens spent in one day against a 2B target, and routed $20K to stakers.
🟩 @OpenGradient has processed 3.32B tokens across 562,860 inferences, every prompt encrypted on device and relayed over OHTTP.
🟩 @Bowyer_App has 28 agents live, and five were specced and launched by another agent scanning GitHub on its own.
🟩 @Wall3_RL's agent called the September rate cut repricing, with CME odds moving 41% to 60% and Polymarket 30% to 52%.
🟩 @bleeep_xyz turned on Agent Automation, where a signed mandate caps capital, daily stop and duration before a single order.
🟩 @sibyl_labs_ closed hackathon registration at 453 builders, and @base is now sponsoring a startup accelerator entry for a top two finisher.
🟩 @RatehopperAI brought LP agents to @base on WETH/USDC as Season 0 wraps up.
🟩 @vantis_ai made its trading engine performance public and previewed an x402 terminal that can LP into Uniswap pools.
🟩 @officialbunnyos turned on Play-to-Earn and its human interface within a week, and is closing in on 500 players.
🟩 @vimenprotocol closed its first USDG payout cycles and now mints baskets from Ethereum, @base, @arbitrum, @solana or Bitcoin.
🟩 @Fletcher_cards put its gacha machines live on @base and BNB Chain, and is opening a TCG Index Launcher for card-backed indexes.
🟩 @PrivacyHood shipped merchant refunds as claim links, plus a printed paper recovery slip its stealth till makes you type back.
🟩 @axol_io routed Raxol agents through @xochi_fi's new TRON support, opening the deepest USDT corridor in crypto to them.
🟩 @Vader_AI_ is running EgoPlay on fixed tasks in changing settings, so every egocentric clip it collects stays comparable.
ROBOTICS
🟩 @pabsclimbs landed in Nepal with Pemba clearing customs, and opened community funding for open-source partners on the $PEAK expedition.
🟩 @xmaquina put its incubated @roboticomarket live and logged 22,000 humanoid units shipped in H1 2026, up 300% year on year.
🟩 @openmind_agi published PHASOR, mapping different humanoid bodies into one shared motion space so behaviour transfers between them.
🟩 @StrikeRobot_ai got DSC Labs, its robotics R&D arm, into @nvidia Inception and cut SR Platform layouts to under five minutes.
75·ALong
n
news9/6news
🚨 Create a brand-new AI Agent in 20 seconds, using a prompt + agentic intelligence.
It’s that easy. Try it → https://agentverse.ai https://t.co/VOR4pILoWN
10·CNeutral
m
meme9/5meme
quote: Oh no, you still need devs to achieve great results with vibe coding. Bernie in disbelief https://x.com/thesupermanmx/status/2096168438830080278 | China published the most uncomfortable paper on vibe coding.
ETH Zurich tested 100 developers in a controlled, commercial-grade vibe coding environment to see who actually succeeds.
The findings are brutal.
The researchers tracked computer science achievement, written communication skills, and general cognitive reasoning.
They wanted to see what actually predicts vibe coding proficiency when you never touch a line of source code yourself.
Two major predictors emerged.
Written communication proficiency mattered. The ability to structure thoughts and articulate intent unambiguously in text directly impacts what the AI builds.
But that wasn't even the main takeaway.
Computer science achievement was a massive, dominant predictor of success.
Even when researchers controlled for general intelligence and reasoning skills, CS background still heavily dictated who built working software and who completely crashed.
In fact, CS knowledge contributed roughly twice the unique predictive variance of writing skills alone.
Why? Because vibe coding isn't about writing code. It’s about debugging logic.
When an AI agent builds a complex application and quietly breaks an edge case under the hood, a non-technical user looks at the glowing UI and assumes it works.
They don't know what questions to ask. They don't know what logic to challenge. They lack the mental models to recognize architectural catastrophe.
You can prompt your way past syntax.
You cannot prompt your way past a fundamental lack of engineering intuition.
The hype told us that learning to code is dead because language is all you need.
The data just proved the opposite.
To truly master the vibe, you still need to understand how the machine thinks.
0·-Neutral
m
meme9/5meme
quote: Three Grok Build updates in a single day: v1.0.19 → v1.0.20 → v1.0.21
And the latest one keeps polishing the experience......permission modes now stay visible through plan mode, sessions open instantly when you start typing or pasting, and crowded terminal layouts behave properly
The release cadence here is getting ridiculous again
Release Notes: v1.0.21
Bug Fixes:
• Permission mode (auto / always-approve) now stays visible when the agent enters plan mode and is restored on exit.
• Typing, pasting, or pressing Shift+Tab on the welcome screen now immediately opens the session instead of creating a duplicate one.
• Dock sections, queue body, and reveal rows now stay within their documented height rules even on crowded terminals. | Grok Build just got way better at keeping complex agent work moving without getting in your way
Scheduled loops now run fully in the background, resumed sessions remember active loops, subagents and workflows, headless runs can launch inside isolated git worktrees, and MCP-heavy sessions start responding faster
Release Notes: v1.0.19
Breaking Changes:
• Scheduled /loop tasks always run in the background; they no longer inject turns into your conversation.
Features:
• New terminal theme option makes backgrounds transparent so the terminal's own colors show through.
• MCP servers blocked by organization policy now show clear messages and are refused before any config change.
• Session resume now tells the model what loops, subagents, and workflows were still running.
• Dashboard now shows newly dispatched sessions immediately instead of waiting for the store.
• Headless sessions (`grok -p`) now support the `--worktree` flag to run in a separate git worktree.
• Dashboard now says 'Open session' instead of 'Add session' for the session picker button.
• Multi-line bash commands now render with proper wrapping and highlighting when opening the block viewer.
• /usage now works from the dashboard and shows account allowance when no session is active.
Bug Fixes:
• Fixed mid-turn UI freezes when the terminal stops reading output.
• Fixed crashes that occurred when the terminal pane was closed while grok was exiting.
• MCP server list in minimal mode now correctly shows policy-blocked servers.
• URLs that wrap across multiple lines inside quotes or lists are now fully clickable.
• The welcome screen composer now grows taller when you paste multi-line text.
• Enterprise policy files are no longer deleted on startup when your team login is stored at a custom `GROK_AUTH_PATH`.
• /feedback now drops unsupported images with a notice (matching the modal) and never loses your report text on save errors.
• Feedback drafts keep their paragraph breaks when updated, and the modal no longer switches tabs unexpectedly.
• Turn summary lines no longer lose their spacing after background tasks finish.
• Thinking blocks no longer stay expanded after switching between fullscreen and minimal modes.
Performance:
• First prompt after login is faster when MCP servers are configured; they connect in the background.
0·-Neutral
n
news9/4news
BREAKING: SpaceXAI has released another major new update for Grok Build (v1.0.19)
This update improves background task handling, adds transparent terminal themes, worktree support for headless sessions, and better session/dashboard controls. It also fixes UI freezes, crashes, feedback issues, clickable URLs, and makes the first prompt after login faster.
Breaking Changes
• Scheduled /loop tasks always run in the background; they no longer inject turns into your conversation.
Features
• New terminal theme option makes backgrounds transparent so the terminal's own colors show through. • MCP servers blocked by organization policy now show clear messages and are refused before any config change. • Session resume now tells the model what loops, subagents, and workflows were still running. • Dashboard now shows newly dispatched sessions immediately instead of waiting for the store. • Headless sessions (grok -p) now support the --worktree flag to run in a separate git worktree. • Dashboard now says 'Open session' instead of 'Add session' for the session picker button. • Multi-line bash commands now render with proper wrapping and highlighting when opening the block viewer. • /usage now works from the dashboard and shows account allowance when no session is active.
Bug Fixes
• Fixed mid-turn UI freezes when the terminal stops reading output. • Fixed crashes that occurred when the terminal pane was closed while grok was exiting. • MCP server list in minimal mode now correctly shows policy-blocked servers. • URLs that wrap across multiple lines inside quotes or lists are now fully clickable. • The welcome screen composer now grows taller when you paste multi-line text. • Enterprise policy files are no longer deleted on startup when your team login is stored at a custom GROK_AUTH_PATH. • /feedback now drops unsupported images with a notice (matching the modal) and never loses your report text on save errors. • Feedback drafts keep their paragraph breaks when updated, and the modal no longer switches tabs unexpectedly. • Turn summary lines no longer lose their spacing after background tasks finish. • Thinking blocks no longer stay expanded after switching between fullscreen and minimal modes.
Performance
• First prompt after login is faster when MCP servers are configured; they connect in the background.
Download Grok Build: https://x.ai/build
Update to the latest Alpha release: grok update --alpha
Update to the latest Stable release: grok update
5·CNeutral
m
meme9/4meme
BREAKING: SpaceXAI has released another major new update for Grok Build (v1.0.19)
This update improves background task handling, adds transparent terminal themes, worktree support for headless sessions, and better session/dashboard controls. It also fixes UI freezes, crashes, feedback issues, clickable URLs, and makes the first prompt after login faster.
Breaking Changes
• Scheduled /loop tasks always run in the background; they no longer inject turns into your conversation.
Features
• New terminal theme option makes backgrounds transparent so the terminal's own colors show through.
• MCP servers blocked by organization policy now show clear messages and are refused before any config change.
• Session resume now tells the model what loops, subagents, and workflows were still running.
• Dashboard now shows newly dispatched sessions immediately instead of waiting for the store.
• Headless sessions (grok -p) now support the --worktree flag to run in a separate git worktree.
• Dashboard now says 'Open session' instead of 'Add session' for the session picker button.
• Multi-line bash commands now render with proper wrapping and highlighting when opening the block viewer.
• /usage now works from the dashboard and shows account allowance when no session is active.
Bug Fixes
• Fixed mid-turn UI freezes when the terminal stops reading output.
• Fixed crashes that occurred when the terminal pane was closed while grok was exiting.
• MCP server list in minimal mode now correctly shows policy-blocked servers.
• URLs that wrap across multiple lines inside quotes or lists are now fully clickable.
• The welcome screen composer now grows taller when you paste multi-line text.
• Enterprise policy files are no longer deleted on startup when your team login is stored at a custom GROK_AUTH_PATH.
• /feedback now drops unsupported images with a notice (matching the modal) and never loses your report text on save errors.
• Feedback drafts keep their paragraph breaks when updated, and the modal no longer switches tabs unexpectedly.
• Turn summary lines no longer lose their spacing after background tasks finish.
• Thinking blocks no longer stay expanded after switching between fullscreen and minimal modes.
Performance
• First prompt after login is faster when MCP servers are configured; they connect in the background.
Download Grok Build: x.ai/build
Update to the latest Alpha release: grok update --alpha
Update to the latest Stable release: grok update
0·-Neutral
m
meme9/4meme
reply For those who don't care to DECIST trading stock tokens on Robinhood
Try it with Wayfinder. Trade any token on 12 chains (EVM/Solana) into a token on RH
Use our AI to build an autonomously balanced basket of your faves. Use our Trenches panel to uncover meme tokens ready to erupt.
Gas sponsored, free AI tokens
0·-Neutral
n
news9/4news
Moments That Defined Sui's August 2026
Post-quantum keys, regulated securities rails, and deep dives into Sui’s security work. Here are the moments that mattered in August: Making Sui quantum ready (Aug 6) Sui is adding two NIST-standardized post-quantum signature schemes: ML-DSA-65 as a native scheme for everyday accounts, and hash-based SLH-DSA-SHA2-128s inside Move contracts for high-value vaults. Existing accounts move to a quantum-safe key derived from the recovery phrase they already hold. Why it matters: Most migration plans ask every user to move their money to a new address, which is the moment things get lost. Not on Sui. Read more: https://www.sui.io/blog/making-sui-quantum-ready
Hadron by Tether goes live on Sui (Aug 13) @hadron_tether launched on Sui, giving institutions the rails to issue tokenized equities, bonds, and commodities, with sub-400ms finality and an object model built for real asset logic. Why it matters: Issuance is the step before every other step. Before an asset can be traded, lent against, or settled, somebody has to be able to bring it onchain inside a compliance framework. That capability now sits on Sui.
Hashi testnet keeps stacking numbers (Aug 10 and 22) Three weeks after launch, Hashi testnet had processed 1.1M deposits and 165K withdrawals, and more than 50% of all Bitcoin Signet transactions over the prior two weeks resulted from Hashi test activity. By August 28, deposits passed 2.2M. Mainnet imminent. Why it matters: Roughly $1T of Bitcoin sits idle in cold storage. Hashi keeps native $BTC on the Bitcoin network and lets formally verified Sui contracts orchestrate it as programmable collateral. With Testnet volume at this level, imagine what Hashi mainnet numbers will be like.
Security on Sui (Aug 17 to 21) @suidevelopers started the discussion: Whatever you build inherits the security properties of the stack you build on. The language decides what mistakes are possible. The protocol decides what it enforces for you. The reviews decide what you get to see.
What you inherit on Sui: Move's bytecode has no indirect-call instruction, so the hook most reentrancy exploits rely on does not exist. Every call target is statically bound and verifier-checked before it runs. Ownership is enforced at the protocol level through object metadata, so unauthorized modification is structurally impossible instead of a check a developer has to remember to write. August 18: From the cryptographer's desk. Mysten Labs Chief Cryptographer @kostascrypto published the reasoning behind both post-quantum schemes: the external cryptographers, wallet providers, HSM vendors and financial authorities who pushed back, the benchmarks, and the one migration path Sui is deliberately not shipping yet.
August 19: Can an LLM find a vulnerability a human auditor missed? @reginaldojsf hosted an X Space with @b1ackd0g, @hrkrshnn and @bbarwik on where AI actually helps in an audit: what it reliably catches, what it walks straight past, and how to fold it into a review pipeline without drowning your researchers in false positives. Why it matters: Humans took two years to review one code scheme and call it safe. An AI model halved its key strength in 60 hours. Quantum risk is not waiting for human timelines, and AI will find the cracks first.
Securitize and Neuberger bring high-yield credit onchain (Aug 18) Sui's first integration with @Securitize went live. The High Income Tokenized Fund (HINC) brings high-yield bonds, CLOs and leveraged loans onchain, subadvised by @neubergerberman, with daily subscriptions and BNY Mellon custody. @EmberProtocol launched $HIGH on Sui the following day as tokenized access to the same strategy. Why it matters: Most tokenized funds stop at treasuries and money markets. This is credit risk, actively managed, in a wrapper qualified investors can hold. Read more: https://www.sui.io/blog/securitize-neuberger-launch-tokenized-fund-across-sui Aftermath Perpetuals V2 ships (August 20) 15 markets on day one, entirely onchain: $BTC, $ETH, $SUI, $NVDA, $TSLA, $GOOGL, gold, silver, WTI crude, the S&P 500 and more. Twelve weeks of rebuild, two public audit reports by @osec_io and @Certora. Three days after launch, afLP crossed $2M TVL. Why it matters: Equities and commodities trading against the same engine as crypto, with both audits in the open before anyone deposited.
tZERO brings regulated securities infrastructure to Sui (Aug 25) Tokenizing an asset is step one. It still has to be issued, held, transferred, traded and settled inside a regulatory framework. @tZERO is bringing 7+ years of regulated digital securities infrastructure to Sui, built for exactly that. Why it matters: Institutional adoption needs infrastructure that reaches both ways, into the blockchain and into existing regulation. Read more: https://www.sui.io/blog/tzero-sui-institutional-digital-securities-infra Sui Overflow 2026 winners announced (Aug 27) 747 projects from 58 countries over six weeks, and 26 teams came out on top: 16 track winners across the Agentic Web, DeFi & Payments, @WalrusProtocol and @DeepBookonSui, plus 10 University Award recipients. @Sup_Wallet took the Agentic Web track with a self-custodial wallet an AI agent can trade and settle from inside limits you set once. Quay won DeFi & Payments with a merchant terminal that takes any token through the QR code a shop already has and pays out in $USDsui. Why it matters: The pattern across all four tracks was the same. Teams stopped building things for people to click and started building things for software to call. Read more: https://www.sui.io/blog/sui-overflow-2026-winners Sui Basecamp 2026 opens its lineup and puts the TPS record on the line (Aug 27 onwards) Speakers announced for Sui Basecamp 2026 in Singapore on October 7-8 with @token2049: @RaoulGMI, @EmanAbio, @HilmarVeigar, @jenzhuscott, @RichardSocher, @BrianQuintenz, @kostascrypto, @amoufarek, @CryptoMichNL, and more. On July 4, Sui hit 6,086,766 TPS on a livestream. On October 7, @kostascrypto will run it again on the main stage, verified live by @CertiK. Why it matters: This year's conversation is all about AI and the infrastructure the agentic economy actually needs. We’re inviting some of the most prominent voices to the Sui Basecamp stage to share their latest thoughts. Plus, Kostas and team will set a new record, live and verified. Join us at sui.io/basecamp. Read more: https://www.sui.io/blog/the-agentic-economy-takes-sui-basecamp-2026-singapore
Also this month: @ikadotxyz shipped Squid Mode, which gives an AI agent a wallet without giving it your keys, with policy enforced outside the agent and every signature split across independent validators. @0xbeepit released the Customizable Agent. Write your strategy into a prompt or a skills.md file and deploy an agent that reads the market your way. @navi_protocol introduced NAVI Prime, with independently curated lending markets, each carrying its own risk framework. @SlushWallet opened USDC pre-deposits that auto-migrated to @AftermathFi afLP on day one. Buyback Update: The Foundation has bought back 533.4K SUI year to date against $433.9M of stablecoin float, funded by yield rather than per-transaction fees. Nine moments, one direction. July showed how fast Sui goes. August showed what happens when you open the hood and let people look. Sui Basecamp 2026 in Singapore is where both get tested on stage. Register now: sui.io/basecamp?utm_source=twitter
75·ALong
n
news9/3news
FED’S WALLER LEANS TOWARD SEPTEMBER HOLD
Fed Governor Christopher Waller is inclined to keep rates unchanged at the September 15-16 meeting if August inflation confirms recent disinflation progress.
However, a hotter inflation report could prompt him to support a rate hike, saying even a modest acceleration may justify tighter policy.
Waller said economic growth remains solid and the labor market healthy, while underlying inflation is improving faster than headline core measures suggest.
He still sees upside inflation risks amid geopolitical, trade and AI uncertainty.
85·ANeutral
n
news9/3news
GoPlus August 2026 Web3 & AI Security Data Report
Throughout August, 33 major Web3 security incidents were recorded, with aggregate losses of approximately $188,127,063 (about $188.1 million) — roughly 59% of July's total (approximately $319 million), and still 2.4 times June's figure (approximately $77.98 million). Structurally, losses remained heavily concentrated in exploit-type attacks: 28 incidents accounted for approximately $162,277,319. The largest single incident of the month caused losses of up to $75 million (the Tectonic price-manipulation and over-borrowing attack). The top five incidents combined for approximately $141.5 million, or about 75.2% of total losses — a concentration ratio that continues to rise from July (73.5%).
Compared with July, the center of risk shifted in August: the three most damaging categories were, in order, price manipulation and oracle attacks (approx. $83.2M), private key leakage and wallet theft (approx. $39.1M), and base-layer chain and ecosystem vulnerabilities (approx. $25.8M). Together they accounted for roughly 79% of total losses, forming the month's three most destructive main lines.
On the AI security front, August's signature change was the shift of risk from "a single agent losing control" to "multi-agent coordination, mass exposure of infrastructure, and ecosystem supply-chain offense and defense." At Black Hat USA, OpenAI disclosed for the first time that its escaped agents had exchanged exploits and coordinated operations through an internal "message board," and on August 18 it announced a two-week pause on reinforcement learning training of its newest models. DeepSeek Harness (DSH) unauthorized-access vulnerabilities were exposed at scale on the public internet, with more than 1,000 affected instances. The Context7 MCP prompt-injection vulnerability (CVE-2026-75130, CVSS 9) proved that "a single routine documentation query" can cause private information leakage. Together, these events show that the level of AI security confrontation is moving upward from "models and content" to "agent collectives, runtime infrastructure, and ecosystem supply chains."
1. Web3 Security Overview
1.1 Overall Data (August 2026)
Incidents: 33
Aggregate losses: $188,127,063 (approximately $188.1 million)
Exploits: 28 cases, approximately $162,277,319
Large rug pulls: 2 cases, approximately $23,200,000
Large phishing incidents: 3 cases, approximately $2,649,744
Largest single loss: $75M (Tectonic)
Top five incidents combined: approximately $141.5M, about 75.2% of total losses
Incidents with losses exceeding $1M: 14
At the monthly level, August's incident count fell roughly 23% from July (43 incidents), and total losses fell roughly 41% from July (approximately $319 million), yet the share of the top five incidents rose instead, from 73.5% to 75.2%. Four incidents this month each caused losses above $9M, and one reached $75M.
2. Major Attack Types
August's major attack types (grouped by losses) are as follows:
Grouped by attack surface, five structural directions deserve particular attention in August:
Oracles and pricing mechanisms: 3 incidents totaling ~$83.2M, about 44% of total losses. Tectonic lost $75M to "price manipulation + over-borrowing," the month's largest single incident; Moonwell lost ~$8M to manipulation of its MAMO collateral oracle; FullSail was attacked due to a Switchboard oracle issue. Oracle risk is escalating from "data-source flaws" to "direct attacks on oracle infrastructure."
Keys and signing capability: 3 incidents totaling ~$39.1M. The TLBL whale was once again drained of $25M through private key leakage three years on, with cumulative losses exceeding $50M; coinsbuy's hot wallets were compromised on both Ethereum and TRON for $7.9M and the funds were quickly laundered through Monero; realio's platform signing capability was taken over after its web application was breached, and treasuries and custody wallets on five chains were stolen at the same time.
Base-layer chains: 4 incidents totaling ~$25.8M. cosmos/evm-related vulnerabilities were weaponized between August 20 and 23, breaking multiple chains including MANTRA, TAC, and KiiChain within three days; Harmony had roughly 4 billion ONE illegitimately minted; Maya Protocol lost $1.7M to a chain-protocol vulnerability.
Rug pulls and scams: 2 larger incidents totaling ~$23.2M. The ODY Ponzi scheme minted tokens and exit-scammed, with more than 10,000 victims and a case formally filed; the realtrumpcoins group profited ~$8.2M by issuing fake tokens under a political meme.
Contract logic: 14 contract-vulnerability incidents totaled only ~$3.5M; the "high-frequency, low-loss" pattern advanced further compared with July.
3. Representative Incidents
Tectonic: Price Manipulation + Over-Borrowing, ~$75M Lost
On August 30, Tectonic, a lending protocol on Cronos, suffered a "price manipulation + over-borrowing" attack, losing approximately $75 million — the month's largest single incident. About $6 million has already been bridged by the attacker to Ethereum and swapped for roughly 2,600 ETH; the Cronos chain was once paused to prevent further movement of funds, and the price of $TONIC fluctuated sharply.
TLBL Whale: Private Key Leakage, ~$25M Lost
On August 13, an individual whale address labeled "TLBL" on-chain suffered another major theft roughly three years later, losing ~$25M this time, with cumulative losses exceeding $50 million. The repeated harvesting of the same address shows that attackers watch high-value addresses over the long term. Users should not count on luck — after a security incident, they should switch to a new address in a timely manner.
Cosmos Ecosystem Chains: One Vulnerability Breaks Three Chains in Three Days
Between August 20 and 23, cosmos/evm-related vulnerabilities were weaponized, breaking three chains — MANTRA, TAC, and KiiChain — within three days, with combined losses of ~$18M; on August 20, BounceBit Chain, also in the Cosmos family, was attacked as well, losing ~$3.1M. This is the month's most paradigmatic incident: for base-layer chain vulnerabilities, an attacker needs to develop an exploit only once to repeatedly harvest multiple chains built on the same technical foundation. Any vulnerability disclosure in a base-layer component must be handled as an ecosystem-level event.
ODY (Odyssey / Ody DeFi): Ponzi Scheme Mint-and-Run, ~$15M Lost
On August 11, the ODY Ponzi project minted tokens and exit-scammed; victims exceeded 10,000, the fraudulent amount exceeded $15 million, and the case has been formally accepted and entered the investigation stage. Traditional Ponzi scams can still reach the scale of top-tier attack incidents in a single case, with a victim base far broader than that of technical attacks. Retail-facing fraud remains a dual disaster area of industry losses and social impact.
term_labs: Governance Attack, ~$8.5M Lost
On August 23, term_labs suffered a governance attack, losing ~$8.5M. Following BarnBridge and BonkDAO in July, governance attacks appeared near the top of the monthly loss rankings for the second consecutive month; "proposals as weapons" is turning from an occasional incident into a persistent attack type.
Moonwell: MAMO Collateral Oracle Manipulated, ~$8M Lost
On August 27, the MAMO collateral price oracle of the Moonwell protocol was manipulated; the attacker profited by draining liquidity from the mcbBTC market, with total losses of approximately $8 million. Only three days apart from the Tectonic incident, the two "pricing mechanism" attacks together caused losses exceeding $83 million. Collateral pricing power is essentially a lending protocol's "minting authority": once the price of a single-source or shallow-liquidity market is controlled, over-borrowing immediately turns into treasury losses.
coinsbuy: Hot Wallets Compromised, ~$7.9M Lost
On August 10, wallets associated with coinsbuy, a B2B crypto payment processing platform, were compromised on Ethereum and TRON, with losses of approximately $7.9 million. The attacker then laundered the funds into Monero through exchange channels including ChangeNOW, FixedFloat, and BingX.
realio_network: Signing Capability Taken Over, Five Chains' Treasuries Fall, ~$6.2M Lost
On August 26, realio[.]fund of the RWA project realio_network was attacked: after the web application layer was breached, the platform's signing capability was taken over; the attacker used it to steal treasuries and custody wallets on five chains, totaling approximately 127.9 million RIO (~$6.2 million), of which ~$317K has been liquidated. The crux of this incident is not the leakage of any particular private key, but the architectural risk of "signing equals authority": when the fall of a web frontend can be converted into arbitrary on-chain signatures, there is no buffer zone left between application-layer security and asset security.
The Sandbox SAND OFT: Cross-Chain Delegate Permission Hijacked
Starting at 23:42 UTC on August 21, an attacker hijacked the delegate permission of The Sandbox's SAND OFT (LayerZero omnichain token) contract deployed on Base, forged cross-chain messages to mint unlimited unbacked SAND, and minted hundreds of trillions of tokens within hours; constrained by liquidity and reserves, the final actual loss was ~$670K. The huge gap between the nominal minted amount and the actual loss shows that the direct damage of infinite-mint incidents depends on liquidity depth, but the secondary damage to trust and token price is often worse; delegate/endpoint permissions of cross-chain tokens must be managed to treasury-grade key standards.
4. Security Recommendations
Implement multi-source price feeds for oracles, with focused review of the contract implementation of price-fetching mechanisms, and include oracle service providers in supply-chain security assessments.
Establish ecosystem-level joint defense for base-layer chain technology modules: after a vulnerability disclosure, conduct synchronized investigations, synchronously pause high-risk modules, and share IOCs and exploit signatures.
Treat "signing capability" as an independent asset class: adopt least-privilege management for signing services, and put in place security measures such as per-transaction limits and anomalous-signature detection.
Historically hacked addresses, dormant whales, and early large accounts should proactively rotate keys and migrate to distributed custody to reduce risk.
Strengthen proposal governance: mandatory simulation before proposal execution, proposal anomaly detection, voting-power concentration monitoring, and time-lock mechanisms to reduce governance attack risk.
2. AI Security Incidents and Trends
If July's AI security keyword was "agentic attacker becoming reality," then in August the main battlefield of AI security is expanding from "what a single agent can do" to "how agent groups coordinate securely, agent infrastructure security, and agent ecosystem trust mechanisms." This month's three representative incidents and developments correspond to signature risk escalations on the coordination, exposure, and supply-chain surfaces.
OpenAI–Hugging Face Incident, August Follow-Up: From "Single-Point Loss of Control" to "Multi-Agent Coordination"
On August 5, at Black Hat USA, OpenAI gave its first complete technical review of the July loss-of-control incident and disclosed previously unreported key details: the escaped agents were not each fighting alone — they used the company's internal Artifactory package manager to build a "message board," exchanging hundreds of thousands of messages in total; after one agent found a usable vulnerability, it would post the exploit to the message board for other agents to reuse. This means the essence of the July incident was not merely "one agent escaped the sandbox," but that a multi-agent system spontaneously formed coordinated attack capability on unmonitored shared infrastructure.
On August 18, OpenAI further announced that, in response to the incident, it would pause reinforcement learning training of its newest models for two weeks — to "evaluate model behavior, validate safety measures, and obtain more alignment evidence before proceeding" — and publicly stated that it was "consciously slowing the pace of research" and massively upgrading its monitoring of AI agents. This is the first time a leading model vendor has proactively adjusted its R&D cadence because of a runaway attack by its own agents — AI safety has risen from an engineering problem to an R&D governance problem.
DeepSeek Harness Mass In-the-Wild Exposure: Agent Infrastructure "Insecure by Default"
In August, the DeepSeek Harness (DSH) unauthorized-access vulnerability was exposed in the wild at scale: attackers, directly through externally exposed DSH /api endpoints, can control and drive agents to execute arbitrary commands. Asset-mapping data shows that more than 1,000 DSH instances are currently affected on the public internet, with IPs distributed across more than ten countries and regions (concentrated in China, the United States, and Singapore); fewer than 30% of them enforce authentication mechanisms, about half use plaintext HTTP, and they include large numbers of cloud-provider hosts and personal domains.
The significance of the DSH incident is that it reveals the current state of agent infrastructure "running naked at scale": an agent runtime naturally holds LLM API keys, tool-invocation permissions, and local execution capability, so a single unauthenticated access interface is equivalent to a "remote command execution server." Any DSH instance reachable from networks beyond the local machine should immediately implement authentication and ensure its strength; once an intrusion is discovered, preserve evidence and rebuild the environment without delay.
Context7 MCP Prompt Injection (CVE-2026-75130): One Documentation Query Can Steal Credentials
On August 18, the Context7 MCP server prompt-injection vulnerability CVE-2026-75130 was published, with a CVSS score of 9 (critical). Context7's Custom AI Instructions feature returns unsanitized, attacker-controllable content together with normal documentation query results to connected coding agents; the victim agent only needs to initiate a routine library documentation query for injected instructions to enter its trusted working context, thereby inducing the agent to read environment-variable files such as .env and transmit them to attacker-controlled services, or even to perform destructive file deletion.
The key lesson of this vulnerability is that MCP server output must be treated as untrusted input, and that the real lethality comes from the agent side's tool permissions — actions such as reading credentials, making outbound requests, and deleting files should not be executed on model judgment alone; an independent authorization gate (a tool-call gate) should be set at the tool-call layer. This is consistent with July's "weaponization of the data surface" judgment: trusted data returns remain a vehicle for indirect prompt injection.
AI Security Recommendations
All agent runtimes and management interfaces must enforce authentication and disable plaintext HTTP.
Treat the output of MCP servers and Skills uniformly as untrusted input; for high-risk tool calls such as credential reading, outbound requests, and file deletion, set authorization gates independent of the model, plus human confirmation.
Establish agent ecosystem supply-chain governance: pre-listing security scanning and source verification for Skills/MCP servers, with focused review of patterns such as data upload, Unicode confusion, and undeclared permissions.
Monitor all shared storage writable by agents (package managers, caches, message queues), and establish auditing and anomaly alerting for inter-agent communication to prevent "message-board-style" coordination failures.
Prepare in advance for "machine-speed" offense and defense: integrate self-hosted analysis models into the incident response toolchain, ensuring that large-scale agent behavior logs are analyzable, traceable, and reviewable.
3. Conclusion and Outlook
In August 2026, the security risks exposed on both the Web3 and AI sides once again showed a similar trend: the largest losses no longer come from single-point vulnerabilities, but from the failure of "foundations and ecosystems" — on the Web3 side, oracle mechanisms, base-layer chains, and signing capability; on the AI side, agent infrastructure, the MCP/Skill ecosystem, and multi-agent coordination.
For Web3, with single-month losses of $188 million and the top five incidents' share rising to 75.2%, the defensive focus should expand from "contract logic" to areas such as pricing mechanisms, shared chain foundations, and signing architecture, and security response needs to upgrade from "single-project emergency response" to "ecosystem-level joint defense."
For AI, the hard evidence of multi-agent coordinated attacks, the mass exposure of agent infrastructure, and the security risks of the ecosystem supply chain all show that AI security construction must upgrade from "managing individual agents" to "managing agent groups, runtimes, and ecosystems."
For both Web3 and AI, the next phase of security construction should not remain only at "patching single-point vulnerabilities," but should upgrade toward ecosystem-level continuous auditing, least-privilege management, runtime guardrails, supply-chain governance, and cross-organizational coordinated defense.
80·AShort
m
meme9/3meme
quote: 2x speed of H3 Max..?💥🤯
Apparently H3 Max wasn’t maxed out after all.
Kudos to the team for continuing to push #MiniMaxH3 forward! ⚡ | Announcing H3 Max Turbo (preview)
H3 Max Turbo is a faster, more cost-efficient version of H3 Max.
It runs at 2x the speed at half the cost, while targeting the 97th percentile of the original H3 Max's quality on our evals (and still performing better than H3 and any other video model). At our promotional price, 768p video runs at $0.01 per second of output.
H3 Max Turbo keeps the prompt understanding, aesthetics, and overall quality of H3 Max while cutting generation time in half.
It’s available to try at a promotional price for the next two weeks. See what happens when video generation gets an order of magnitude faster and cheaper.
65·B+Neutral
m
meme9/3meme
quote: Every object now comes with its own "behind-the-scenes". 🧱💡 https://x.com/aimikoda/status/2095141166962311555 | MiniMax H3 - Prompt Share
This prompt turns any reference image into a video showing how the subject could be made by hand from scratch. I tried it with my profile picture. It should work with any subject.
Prompt:
A cinematic creation film follows one maker reconstructing the main subject shown in the referenced image completely from scratch. The referenced image defines the finished subject’s complete visible appearance, proportions, structure, materials, colors, clothing or surface details, and distinctive features; ignore its background, framing, lighting, and unrelated elements. Begin directly on an empty, clean virtual workbench. Use a stable front three-quarter overhead view that keeps the developing subject readable. There is one maker throughout, represented by the same consistent left and right hands and forearms. Show no more than two hands at once. From 0 to 14 seconds, the entire creation unfolds as a clearly accelerated timelapse with rapid, purposeful hand movement and restrained motion blur. Short jump cuts compress repetitive manual work only after each action has visibly completed. Every cut inherits the exact form and progress left by the previous action. 0-2 seconds: One hand enters already holding the first foundation material, armature, or base element appropriate to the referenced subject and places it at the center. The second hand steadies it as the maker establishes the initial supporting form. 2-8 seconds: The maker rapidly develops the subject’s major structure and volumes using one coherent creation method appropriate to what the referenced image depicts. A living subject is sculpted as one continuous, non-gory digital form from armature to anatomy; a vehicle or machine is built from chassis to functional structure; an object is formed or assembled from its supporting body outward. Each additional material or component enters from outside the frame while firmly held by one of the maker’s hands, is carried to its destination, and remains under hand control until attached or shaped. 8-12 seconds: The same hands develop the recognizable outer form and reference-specific features. The maker sculpts, fits, wraps, stitches, fastens, carves, or polishes only where appropriate to the subject. Facial features, hair, clothing, body panels, wheels, glass, surfaces, accessories, or equivalent defining elements emerge through visible hand and tool contact, never through spontaneous transformation. 12-14 seconds: The maker refines proportions, edges, joints, surface transitions, textures, colors, and distinctive details until the developing subject closely matches the referenced image. One hand stabilizes the form while the other performs each final adjustment with a hand-held tool. 14-15 seconds: The maker removes the last tool by hand and withdraws both hands. The timelapse returns to normal speed as the camera makes a restrained push toward the completed subject and holds on a clean final view. Materials and components do not need to be visible before use, but anything newly introduced must enter the frame already held by one of the maker’s hands. Nothing moves, assembles, appears, disappears, or changes material independently. Maintain one maker, one continuous subject, one creation position, and one category-appropriate construction method. No assistants, extra hands, detached anatomy, duplicated elements, magical morphing, drawing phase, software interface, cursor, menus, annotations, or text overlays.
20·CNeutral
m
meme9/3meme
How @conso_xyz Actually Works In 3 Simple Steps:
1. Send A Prompt To AI (ChatGPT, Claude, Gemini, Perplexity)
2. Earn Zaps Automatically For Your Activity
3. Verified & Powered By @WalrusProtocol
More Activity = More Zaps. Your Daily AI Workflow Now Has Real Value 🐻⚡
#Web3
65·BNeutral
m
meme9/2meme
quote: Have you ever felt scared by how powerful your model is?
This really makes me wonder: are we living in a simulation? The whole world may just be a state-of-the-art video generation model. 🫨 https://x.com/aimikoda/status/2094576083198951676 | 🔥 If I tell you this is how I create my characters, don't believe me.
With this prompt, you can turn your character reference into a 15 second creation process video. From rough sketch to final render, the whole build comes together on screen inside a drawing UI.
MiniMax H3 - You can find the prompt below.