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We've pushed a version update to the Terminal-Bench dataset and leaderboard. Terminal-Bench 4.0 calibrates task resources (time, cpu, memory), implements task fixes, and removes saturated tasks.

Ryan Marten

3,290 subscribers

103,656 просмотров • 12 дней назад •via X (Twitter)

Наука и технологии

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Harbor integration is live with EvoSkill v.1.2.0 Harbor is a framework for evaluating AI agents against containerized benchmark tasks. It gives EvoSkill access to evolve agents against a registry of 190+ datasets — including benchmarks like SWE-bench Verified, Terminal-Bench 2.0, and Aider Polyglot. Here’s what it means for automated agent evolution ↓

Harbor integration is live with EvoSkill v.1.2.0 Harbor is a framework for evaluating AI agents against containerized benchmark tasks. It gives EvoSkill access to evolve agents against a registry of 190+ datasets — including benchmarks like SWE-bench Verified, Terminal-Bench 2.0, and Aider Polyglot. Here’s what it means for automated agent evolution ↓

Sentient

27,257 просмотров • 3 месяцев назад

If you want the task actually done, Grok 4.5 is making a very strong case. #1 on Long-Horizon Terminal-Bench. It completed 13 out of 46 long-horizon terminal tasks. The previous top models were sitting around 7. These aren't cute little prompts either. Multi-step workflows. Software engineering. Scientific computing. Millions of tokens. Long sessions. Grok 4.5 nearly doubled the mark. Turns out “get it done” is a very useful xAI feature. Grok xAI / Writer: Annette, Designer: Janné

If you want the task actually done, Grok 4.5 is making a very strong case. #1 on Long-Horizon Terminal-Bench. It completed 13 out of 46 long-horizon terminal tasks. The previous top models were sitting around 7. These aren't cute little prompts either. Multi-step workflows. Software engineering. Scientific computing. Millions of tokens. Long sessions. Grok 4.5 nearly doubled the mark. Turns out “get it done” is a very useful xAI feature. Grok xAI / Writer: Annette, Designer: Janné

Mario Nawfal

42,372 просмотров • 1 месяц назад

Holy shit...Claude Code just killed one of the most annoying terminal problems — flickering. 🤯 Anthropic quietly shipped NO_FLICKER mode and it changes how AI feels inside the terminal: • No more screen flashing • Smooth scrolling + stable viewport • Mouse support (yes… in terminal) • Constant memory/CPU as chats grow • Cleaner selections (no UI junk copied) This isn’t just a UI tweak. They basically virtualized the entire terminal viewport to control rendering themselves. Result? Terminal AI finally feels like a real app — fast, smooth, usable. ⚡ Turn it on: CLAUDE_CODE_NO_FLICKER=1 claude Small launch. Huge UX upgrade. Terminal-native AI is getting scary good.

Holy shit...Claude Code just killed one of the most annoying terminal problems — flickering. 🤯 Anthropic quietly shipped NO_FLICKER mode and it changes how AI feels inside the terminal: • No more screen flashing • Smooth scrolling + stable viewport • Mouse support (yes… in terminal) • Constant memory/CPU as chats grow • Cleaner selections (no UI junk copied) This isn’t just a UI tweak. They basically virtualized the entire terminal viewport to control rendering themselves. Result? Terminal AI finally feels like a real app — fast, smooth, usable. ⚡ Turn it on: CLAUDE_CODE_NO_FLICKER=1 claude Small launch. Huge UX upgrade. Terminal-native AI is getting scary good.

Suryansh Tiwari

32,145 просмотров • 5 месяцев назад

Been working on CAT for a while. It’s finally live. Cat OS brings Solana to the terminal. Wallets, positions, approvals and scheduled tasks all follow the same command grammar. Everything running locally is free. Persistent execution uses $C4T. CA: 2sLKA6PzFVjeTUaiKBCkDbDiS8MuoZAeXxZMgs9Apump Close the terminal and scheduled tasks keep running onchain through a network of collateralized operators. Full breakdown below.

Been working on CAT for a while. It’s finally live. Cat OS brings Solana to the terminal. Wallets, positions, approvals and scheduled tasks all follow the same command grammar. Everything running locally is free. Persistent execution uses $C4T. CA: 2sLKA6PzFVjeTUaiKBCkDbDiS8MuoZAeXxZMgs9Apump Close the terminal and scheduled tasks keep running onchain through a network of collateralized operators. Full breakdown below.

anonDev_

111,290 просмотров • 15 дней назад

Introducing Mission Task: The easiest way to earn 1Launch Point! Mission Task is coming soon to 1Launch, and it's about to become your secret weapon for stacking those precious points! What is Mission Task? It's your one-stop shop for earning 1Launch Points through simple social media tasks. Say goodbye to complex hoops and hello to effortless point accumulation! Coming very soon, Mission Tasks will be your one-stop shop for skyrocketing your 1Launch Point balance through engaging social media tasks. In the meantime, drop a comment below! What social media tasks would you love to see in Mission Task? #1Launch #earnings #Airdrop #ComingSoon

Introducing Mission Task: The easiest way to earn 1Launch Point! Mission Task is coming soon to 1Launch, and it's about to become your secret weapon for stacking those precious points! What is Mission Task? It's your one-stop shop for earning 1Launch Points through simple social media tasks. Say goodbye to complex hoops and hello to effortless point accumulation! Coming very soon, Mission Tasks will be your one-stop shop for skyrocketing your 1Launch Point balance through engaging social media tasks. In the meantime, drop a comment below! What social media tasks would you love to see in Mission Task? #1Launch #earnings #Airdrop #ComingSoon

0xTotally

15,728 просмотров • 2 лет назад

GPT-5.1 is now live in Warp. It’s much faster (40% faster task completion on a subset of SWE-bench Verified) without compromising quality. GPT-5.1 is available to all Warp users, and is now the default model for all new users.

GPT-5.1 is now live in Warp. It’s much faster (40% faster task completion on a subset of SWE-bench Verified) without compromising quality. GPT-5.1 is available to all Warp users, and is now the default model for all new users.

Warp

80,683 просмотров • 10 месяцев назад

We’re excited to introduce Text-to-LoRA: a Hypernetwork that generates task-specific LLM adapters (LoRAs) based on a text description of the task. Catch our presentation at #ICML2025! Paper: Code: Biological systems are capable of rapid adaptation, given limited sensory cues. For example, our human visual system can quickly adapt and tune its light sensitivity to our surroundings. While modern LLMs exhibit a wide variety of capabilities and knowledge, they remain rigid when adding task-specific capabilities. Traditionally, customizing these models requires gathering large datasets and performing often expensive, time-consuming fine-tuning for specific applications. To bypass these limitations, Text-to-LoRA (T2L) meta-learns a “hypernetwork” that takes in a text description of a desired task, as a prompt, and generates a task-specific LoRA that performs well on the task. In our experiments, we show that T2L can encode hundreds of existing LoRA adapters. While the compression is lossy, T2L maintains the performance of task-specifically tuned LoRA adapters. We also show that T2L can even generalize to unseen tasks given a natural language description of the tasks. Importantly, Text-to-LoRA is parameter-efficient. It generates LoRAs in a single, inexpensive step, based solely on a simple text description of the task. This approach is a step towards dramatically lowering the technical and computational barriers, allowing non-technical users to specialize foundation models using plain language, rather than needing deep technical expertise or large compute resources.

We’re excited to introduce Text-to-LoRA: a Hypernetwork that generates task-specific LLM adapters (LoRAs) based on a text description of the task. Catch our presentation at #ICML2025! Paper: Code: Biological systems are capable of rapid adaptation, given limited sensory cues. For example, our human visual system can quickly adapt and tune its light sensitivity to our surroundings. While modern LLMs exhibit a wide variety of capabilities and knowledge, they remain rigid when adding task-specific capabilities. Traditionally, customizing these models requires gathering large datasets and performing often expensive, time-consuming fine-tuning for specific applications. To bypass these limitations, Text-to-LoRA (T2L) meta-learns a “hypernetwork” that takes in a text description of a desired task, as a prompt, and generates a task-specific LoRA that performs well on the task. In our experiments, we show that T2L can encode hundreds of existing LoRA adapters. While the compression is lossy, T2L maintains the performance of task-specifically tuned LoRA adapters. We also show that T2L can even generalize to unseen tasks given a natural language description of the tasks. Importantly, Text-to-LoRA is parameter-efficient. It generates LoRAs in a single, inexpensive step, based solely on a simple text description of the task. This approach is a step towards dramatically lowering the technical and computational barriers, allowing non-technical users to specialize foundation models using plain language, rather than needing deep technical expertise or large compute resources.

Sakana AI

403,354 просмотров • 1 год назад

warp code feels like a combination of a cli agent and cursor-style ux design it's a cli that looks like an ide because it gives you: - editor code view - project explorer - one-click to view command output - switch between agent/cli - context/credit spend tracking - task lists - shared context with warp drive there is a learning curve because it's a different workflow, but the agent was top of terminal bench until recently and i can see why would love to see them add: - subagents - an agent sdk - sidebar fonts increasing with cmd +/- not being paid to post this, btw (feel like i have to add that these days 😉) i have been using warp for a long while as a terminal and sometimes agent on the $15/mo plan

warp code feels like a combination of a cli agent and cursor-style ux design it's a cli that looks like an ide because it gives you: - editor code view - project explorer - one-click to view command output - switch between agent/cli - context/credit spend tracking - task lists - shared context with warp drive there is a learning curve because it's a different workflow, but the agent was top of terminal bench until recently and i can see why would love to see them add: - subagents - an agent sdk - sidebar fonts increasing with cmd +/- not being paid to post this, btw (feel like i have to add that these days 😉) i have been using warp for a long while as a terminal and sometimes agent on the $15/mo plan

Ian Nuttall

32,665 просмотров • 11 месяцев назад

That’s a WRAP, on The Terminal List Season 2 production. From South Africa, to North America, to Morocco, the cast and crew pushed the limits to bring book 2, TRUE BELIEVER to life!

That’s a WRAP, on The Terminal List Season 2 production. From South Africa, to North America, to Morocco, the cast and crew pushed the limits to bring book 2, TRUE BELIEVER to life!

The Terminal List

190,732 просмотров • 11 месяцев назад

Eliza Town Demo Shaw (spirit/acc) This is what autonomous agent orchestration looks like. Submit a task and watch your agents come to life. They walk to their workshops, pick up assignments, and start working. No static dashboards. No terminal logs. You actually see them move through the town and collaborate. In this demo we gave them a simple task: build a website. Agents walk to their hubs, break down the work, and start building. When they need to talk, they meet up and share context. Speech bubbles show you exactly what they’re thinking and saying to each other.

Eliza Town Demo Shaw (spirit/acc) This is what autonomous agent orchestration looks like. Submit a task and watch your agents come to life. They walk to their workshops, pick up assignments, and start working. No static dashboards. No terminal logs. You actually see them move through the town and collaborate. In this demo we gave them a simple task: build a website. Agents walk to their hubs, break down the work, and start building. When they need to talk, they meet up and share context. Speech bubbles show you exactly what they’re thinking and saying to each other.

Eliza

111,865 просмотров • 7 месяцев назад

🎉 Week 4-5 VIP Task: Task Masters! 🎉 Run the most tasks' submissions this two weeks and claim your spot in the Koii VIP club! 🚀 🏆 Rewards: Top 5-7 task runners will earn VIP status and 10,000 VIP tokens each. Hidden Bonus: An additional 10,000 VIP tokens will be awarded as a surprise prize, exclusively announced in our Discord channel next Wednesday! 📌 How to Participate: Run as many tasks as possible. Track your progress and stay active. Not in our Discord yet? Contact us to join and stay updated on the hidden reward! ⏰ Deadline: November 27 – December 10 💪 Run those tasks – this is your chance to shine! #KoiiVIP

🎉 Week 4-5 VIP Task: Task Masters! 🎉 Run the most tasks' submissions this two weeks and claim your spot in the Koii VIP club! 🚀 🏆 Rewards: Top 5-7 task runners will earn VIP status and 10,000 VIP tokens each. Hidden Bonus: An additional 10,000 VIP tokens will be awarded as a surprise prize, exclusively announced in our Discord channel next Wednesday! 📌 How to Participate: Run as many tasks as possible. Track your progress and stay active. Not in our Discord yet? Contact us to join and stay updated on the hidden reward! ⏰ Deadline: November 27 – December 10 💪 Run those tasks – this is your chance to shine! #KoiiVIP

Koii Labs 🎏

14,236 просмотров • 1 год назад

Our LAFD has predeployed and staged water tenders, engine task forces and other resources to the Porter Ranch and Granada HIlls with a focus on high risk fire areas. City crews and first responders are onsite and prepared to respond as needed.

Our LAFD has predeployed and staged water tenders, engine task forces and other resources to the Porter Ranch and Granada HIlls with a focus on high risk fire areas. City crews and first responders are onsite and prepared to respond as needed.

Mayor Karen Bass

112,236 просмотров • 1 год назад

Robotics keeps hitting the same wall. Single task RL works, but... it does not scale to hundreds of tasks or new embodiments. This new paper looks like a real step toward fixing that. The team introduces MMBench, a benchmark with 200 tasks across many domains and robots, and Newt, a language conditioned world model trained online across all 200 tasks at once. The simple idea behind Newt: The model learns from demos to get the right priors It trains across many tasks through online interaction It uses language to ground the goal It adapts fast when a new task shows up What stood out to me: ✅ One model trained on 200 tasks at the same time ✅ Language conditioned control for both states and RGB ✅ Better data efficiency than strong baselines ✅ Strong open loop control ✅ Fast adaptation to new tasks and embodiments ✅ Full release of 200 checkpoints, 4000 demos, code, and benchmark This is a good push toward general control instead of one model per task. If you want the full paper: Project page: —- Weekly robotics and AI insights. Subscribe free:

Robotics keeps hitting the same wall. Single task RL works, but... it does not scale to hundreds of tasks or new embodiments. This new paper looks like a real step toward fixing that. The team introduces MMBench, a benchmark with 200 tasks across many domains and robots, and Newt, a language conditioned world model trained online across all 200 tasks at once. The simple idea behind Newt: The model learns from demos to get the right priors It trains across many tasks through online interaction It uses language to ground the goal It adapts fast when a new task shows up What stood out to me: ✅ One model trained on 200 tasks at the same time ✅ Language conditioned control for both states and RGB ✅ Better data efficiency than strong baselines ✅ Strong open loop control ✅ Fast adaptation to new tasks and embodiments ✅ Full release of 200 checkpoints, 4000 demos, code, and benchmark This is a good push toward general control instead of one model per task. If you want the full paper: Project page: —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

70,090 просмотров • 9 месяцев назад

$The next generation of open-source AI is here. Meet IBM Granite 4.0. We've engineered these open, performant and trusted small language models to solve key enterprise challenges. Discover how Granite 4.0 delivers exceptional performance while requiring only a fraction of the resources:$

The next generation of open-source AI is here. Meet IBM Granite 4.0. We've engineered these open, performant and trusted small language models to solve key enterprise challenges. Discover how Granite 4.0 delivers exceptional performance while requiring only a fraction of the resources:

IBM

166,379 просмотров • 11 месяцев назад

From seeing → to understanding → to following → now to finding. In the last update, our robot learned how to recognize and follow people SR Agentic now evolves from human-following → to goal-driven object search. Give it a task like: → “find the white bottle on the table ” It will: • break down the instruction via LLM task planning • scan the environment in real-time • localize the object in 3D space • navigate and approach autonomously Step by step, capability by capability — from perception → to tracking → to task execution in the physical world. This is how real-world agentic robotics is built

From seeing → to understanding → to following → now to finding. In the last update, our robot learned how to recognize and follow people SR Agentic now evolves from human-following → to goal-driven object search. Give it a task like: → “find the white bottle on the table ” It will: • break down the instruction via LLM task planning • scan the environment in real-time • localize the object in 3D space • navigate and approach autonomously Step by step, capability by capability — from perception → to tracking → to task execution in the physical world. This is how real-world agentic robotics is built

Strike Robot

22,038 просмотров • 5 месяцев назад

Today we're excited to announce NO_FLICKER mode for Claude Code in the terminal It uses an experimental new renderer that we're excited about. The renderer is early and has tradeoffs, but already we've found that most internal users prefer it over the old renderer. It also supports mouse events (yes, in a terminal). Try it: CLAUDE_CODE_NO_FLICKER=1 claude

Today we're excited to announce NO_FLICKER mode for Claude Code in the terminal It uses an experimental new renderer that we're excited about. The renderer is early and has tradeoffs, but already we've found that most internal users prefer it over the old renderer. It also supports mouse events (yes, in a terminal). Try it: CLAUDE_CODE_NO_FLICKER=1 claude

Boris Cherny

2,935,244 просмотров • 5 месяцев назад

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: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

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: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

DogeDesigner

432,752 просмотров • 6 дней назад

Did some testing with friendship in LZA. May I introduce the bench method for gaining friendship? All the coffees/teas give +30 friendship to the active Pokémon, but sitting on a bench and getting up gives your entire party +10 friendship each time! May be faster for multiples.

Did some testing with friendship in LZA. May I introduce the bench method for gaining friendship? All the coffees/teas give +30 friendship to the active Pokémon, but sitting on a bench and getting up gives your entire party +10 friendship each time! May be faster for multiples.

Anubis

438,718 просмотров • 10 месяцев назад

Gemini CLI extensions let you use your favorite tools from the terminal 🛠️ With the Miro extension you can create diagrams, docs, and tables to breakdown complex tasks with a single prompt. 📊 Start automating and iterating faster with Gemini CLI extensions ⚡️

Gemini CLI extensions let you use your favorite tools from the terminal 🛠️ With the Miro extension you can create diagrams, docs, and tables to breakdown complex tasks with a single prompt. 📊 Start automating and iterating faster with Gemini CLI extensions ⚡️

Gemini CLI

71,001 просмотров • 6 месяцев назад

good morning, motherfucker! I woke up and it’s time to brush my teeth, everything I spit out you have to swallow! and the full version of this video and much more is already in my online fan. Today's task is for you to subscribe to your mistress!

Sensitive content

good morning, motherfucker! I woke up and it’s time to brush my teeth, everything I spit out you have to swallow! and the full version of this video and much more is already in my online fan. Today's task is for you to subscribe to your mistress!

Mistress Jucy

31,199 просмотров • 2 лет назад