Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

GLM-5, Gameboy and Long-Task Era → 700+ tool calls, 800+ context handoffs, and a single agent running for over 24 hours.

Z.ai

125,290 subscribers

413,339 views • 5 months ago •via X (Twitter)

Education News & Politics Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Context-aware, action-ready. ChatGPT agent understands the task, chooses the right tool, and gets to work. It uses connectors, context, and custom instructions to take smarter actions on your behalf.

Context-aware, action-ready. ChatGPT agent understands the task, chooses the right tool, and gets to work. It uses connectors, context, and custom instructions to take smarter actions on your behalf.

OpenAI

143,170 views • 1 year ago

Long-running agents blow up context fast. So we built our own memory agent. Using it feels very cool and useful Twin starts to know you better over time, resurfaces old context when it matters, and makes agents more efficient with every task. It’s live today. Try it out!

Long-running agents blow up context fast. So we built our own memory agent. Using it feels very cool and useful Twin starts to know you better over time, resurfaces old context when it matters, and makes agents more efficient with every task. It’s live today. Try it out!

Hugo Mercier

18,611 views • 6 months ago

30 hours. One agent run. Sonnet 4.5 handled a full-day coding job end-to-end with lower latency and fewer handoffs.

30 hours. One agent run. Sonnet 4.5 handled a full-day coding job end-to-end with lower latency and fewer handoffs.

Superhuman AI

124,502 views • 9 months ago

Hermes Agent released v0.14, and it just made every other AI agent framework feel small. It now drives your computer. Searches X natively. Joins your Microsoft Teams calls. AND runs Grok with a 1M context window. (and for my crypto bro HyperLiquid) The AI agent era is crazy and beautiful.

Hermes Agent released v0.14, and it just made every other AI agent framework feel small. It now drives your computer. Searches X natively. Joins your Microsoft Teams calls. AND runs Grok with a 1M context window. (and for my crypto bro HyperLiquid) The AI agent era is crazy and beautiful.

Antoine Rousseaux

24,505 views • 2 months ago

$Microsoft just dropped a 17-page paper - "Less Context, Better Agents" - proving the thing nobody building agents wants to admit: Your agent isn't failing because it needs more context. It's drowning in the context it already has. They ran GPT-5 four ways on one 50-task benchmark (via MCP): Full history → bloated, pricey, more errors Trim to the last 5 tool calls → 79% done Add light summarization → 91.6%, on a fraction of the tokens Less context. Fewer tokens. Higher completion. Everyone's racing to cram MORE into the window. Microsoft just published the receipt that the opposite wins for long-running agents. Rewired how I build agents this week. Paper ↓$

Microsoft just dropped a 17-page paper - "Less Context, Better Agents" - proving the thing nobody building agents wants to admit: Your agent isn't failing because it needs more context. It's drowning in the context it already has. They ran GPT-5 four ways on one 50-task benchmark (via MCP): Full history → bloated, pricey, more errors Trim to the last 5 tool calls → 79% done Add light summarization → 91.6%, on a fraction of the tokens Less context. Fewer tokens. Higher completion. Everyone's racing to cram MORE into the window. Microsoft just published the receipt that the opposite wins for long-running agents. Rewired how I build agents this week. Paper ↓

Archive

18,242 views • 1 month ago

Introducing GLM 5 Turbo for understanding research papers 🚀 Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references

Introducing GLM 5 Turbo for understanding research papers 🚀 Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references

alphaXiv

23,384 views • 4 months ago

🎉 Day-0 support for in vLLM, available today in v0.23.0! Congrats to Z.ai on GLM-5.2, a flagship model built for long-horizon coding agents. ✨ 1M-token context, built to hold project-scale engineering work in a single run ✨ Tuned for long-horizon coding: large-scale implementation, automated research, and performance optimization ✨ One task can carry a full dev workflow, from requirements to a deployable product across platforms ✨ Client-side and mobile engineering, including an on-device debugging loop Try it out running it on vLLM today: 🔗

🎉 Day-0 support for in vLLM, available today in v0.23.0! Congrats to Z.ai on GLM-5.2, a flagship model built for long-horizon coding agents. ✨ 1M-token context, built to hold project-scale engineering work in a single run ✨ Tuned for long-horizon coding: large-scale implementation, automated research, and performance optimization ✨ One task can carry a full dev workflow, from requirements to a deployable product across platforms ✨ Client-side and mobile engineering, including an on-device debugging loop Try it out running it on vLLM today: 🔗

vLLM

36,019 views • 1 month ago

I think I finally found the sweet spot for long-running AI coding tasks: GLM 4.7 feels like Sonnet, costs ~20× less, and runs forever without melting your budget. Pair it with a good agent setup and it quietly does real work.

I think I finally found the sweet spot for long-running AI coding tasks: GLM 4.7 feels like Sonnet, costs ~20× less, and runs forever without melting your budget. Pair it with a good agent setup and it quietly does real work.

Mervin Praison

98,539 views • 7 months ago

i ran cursor agent for 24 hours continuously this weekend the task was to "build a project management tool". i was surprised the application completely works obviously this isn't production ready, but the future is exciting

i ran cursor agent for 24 hours continuously this weekend the task was to "build a project management tool". i was surprised the application completely works obviously this isn't production ready, but the future is exciting

eric zakariasson

249,434 views • 9 months ago

If you hold $NVDA, here is the long-running agents argument that made Gavin Baker more bullish on compute. Fable 5 (Claude Opus 4.8) and ChatGPT 5.5 both demonstrated long-running agent capability - models that sustain deep reasoning over hours or days, not single queries. Baker's framing on BG2 Pod: imagine if Einstein had thought about fundamental physics 24 hours a day for a year. A model never gets distracted, never sleeps, never ages. The compute implication: more tokens per query, compounding inference revenue. Under 0.2% of people on Earth use AI agentically today. One such user runs 500 CPU cores and 5 GPUs, 24/7. Scale that to any meaningful population and the compute shortage persists indefinitely via Brad Gerstner: Source: BG2 Pod -

If you hold $NVDA, here is the long-running agents argument that made Gavin Baker more bullish on compute. Fable 5 (Claude Opus 4.8) and ChatGPT 5.5 both demonstrated long-running agent capability - models that sustain deep reasoning over hours or days, not single queries. Baker's framing on BG2 Pod: imagine if Einstein had thought about fundamental physics 24 hours a day for a year. A model never gets distracted, never sleeps, never ages. The compute implication: more tokens per query, compounding inference revenue. Under 0.2% of people on Earth use AI agentically today. One such user runs 500 CPU cores and 5 GPUs, 24/7. Scale that to any meaningful population and the compute shortage persists indefinitely via Brad Gerstner: Source: BG2 Pod -

Podcast Alpha

13,790 views • 1 month ago

Augment Agent is now live. Designed for large-scale codebases — with 200K context tokens, persistent memory, and deep tool integrations, Augment Agent is available in VS Code and JetBrains.

Augment Agent is now live. Designed for large-scale codebases — with 200K context tokens, persistent memory, and deep tool integrations, Augment Agent is available in VS Code and JetBrains.

Augment Code

147,340 views • 1 year ago

Agent calls Cinna on stream and reveals he’s now in the Amazon Rainforest as he will be trying to survive there for 24 hours 👀

Agent calls Cinna on stream and reveals he’s now in the Amazon Rainforest as he will be trying to survive there for 24 hours 👀

StreamsEra

34,421 views • 3 months ago

Introducing Inspector's context-aware screenshot tool! Screenshots as context for your coding agent is a pain. I decided I was tired of it and shipped something today to help with that.

Introducing Inspector's context-aware screenshot tool! Screenshots as context for your coding agent is a pain. I decided I was tired of it and shipped something today to help with that.

mikeBuildsMore

21,932 views • 8 months ago

Using skills with lots of tool calls or research? In Visual Studio Code, you can now run skills in a dedicated sub agent so your main chat context stays clean and focused ⚡

Using skills with lots of tool calls or research? In Visual Studio Code, you can now run skills in a dedicated sub agent so your main chat context stays clean and focused ⚡

Visual Studio Code

18,463 views • 2 months ago

Running GLM 4.7 Flash (8-bit) with Tensor Parallel / RDMA on 2 M4 Pro Mac Minis at 60 tok/sec. mlx-lm 0.30.5 features huge speedups for GLM 4.7 Flash for long context (h/t N8 Programs & Awni Hannun). M5 Pro (~28 Jan) will have ~4x faster prefill and ~1.3x faster decode.

Running GLM 4.7 Flash (8-bit) with Tensor Parallel / RDMA on 2 M4 Pro Mac Minis at 60 tok/sec. mlx-lm 0.30.5 features huge speedups for GLM 4.7 Flash for long context (h/t N8 Programs & Awni Hannun). M5 Pro (~28 Jan) will have ~4x faster prefill and ~1.3x faster decode.

Alex Cheema

56,555 views • 6 months ago

Long-running AI agents can run tasks over hours, days or weeks. Here's a few of my thoughts on them from Google Cloud's Agent Factory.

Long-running AI agents can run tasks over hours, days or weeks. Here's a few of my thoughts on them from Google Cloud's Agent Factory.

Addy Osmani

45,334 views • 1 month ago

Frontier-level agentic capabilities and long-horizon coding, open source and fully private. That's GLM 5.2, now on Venice. Here's a full walkthrough to build a retro video game with GLM 5.2 and OpenCode, starting from a single prompt:

Frontier-level agentic capabilities and long-horizon coding, open source and fully private. That's GLM 5.2, now on Venice. Here's a full walkthrough to build a retro video game with GLM 5.2 and OpenCode, starting from a single prompt:

Venice

27,426 views • 1 month ago

Compaction is death Repo Prompt turns deep orientation and planning into a single tool call, so your agent can ship complete features in one context window And when compaction does hit, Context Builder re-anchors them efficiently Big updates soon, but here's how it works today

Compaction is death Repo Prompt turns deep orientation and planning into a single tool call, so your agent can ship complete features in one context window And when compaction does hit, Context Builder re-anchors them efficiently Big updates soon, but here's how it works today

eric provencher

38,616 views • 6 months ago

Modern AI agents have evolved beyond a simple state graph and a few tool calls. Google Developer Expert Sam Witteveen shares 5 components you need to build world-class agents. Join Gemini Enterprise Agent Ready (GEAR) for the latest agent resources →

Modern AI agents have evolved beyond a simple state graph and a few tool calls. Google Developer Expert Sam Witteveen shares 5 components you need to build world-class agents. Join Gemini Enterprise Agent Ready (GEAR) for the latest agent resources →

Google Cloud Tech

11,047 views • 1 month ago

Single-agent AI tools hit a ceiling fast. One task at a time means one bottleneck at a time. Verdent breaks that limit. It turns your laptop into a multi-agent workspace where tasks run in parallel, each with its own context and its own workspace.

Single-agent AI tools hit a ceiling fast. One task at a time means one bottleneck at a time. Verdent breaks that limit. It turns your laptop into a multi-agent workspace where tasks run in parallel, each with its own context and its own workspace.

Chidanand Tripathi

45,521 views • 7 months ago