neeboo

Null

[neeboo @ghostcorn]

通用生产力软件肯定没啥做的，不对业务做革新就是有再多软件可选也没用。

[宝玉 @dotey]

去做一个 Agent Harness 这种事情价值不大了，怎么做也做不过模型公司，模型一升级好多活都白干了。

但是基于成熟的 Agent Harness 去做方案，大有可为。

MCP 只是解决了连接的问题，Skills 只是解决了领域知识的问题。

垂直领域还有很多事需要解决：
- 为老的工作流针对 Agent 去重新设计 AI Native 的 Agent 工作流
- 在 Human In Loop 的部分，重新设计 UI、UX 交互
- 垂直领域的高质量数据整理
- 等等

这些事情是模型公司做不到的，也需要去共建的。

Agent 是未来的操作系统，几家模型公司提供模型和 Harness，其他人基于上面构建应用。

[neeboo @ghostcorn]

@thsottiaux reliability, eg: resume session in codex app by entering the session ID

[neeboo @ghostcorn]

Love the work

[Chris Tate @ctatedev]

I built Zero in 3 days.

I didn't expect it to compile.
I didn't expect it to mostly self-host.
I definitely didn't expect it to work at all.

Inspired partly by Bun's rewrite to Rust, Zero started as an experiment. Honestly, the project says more about where AI is today than it does about the language itself.

It took more than 3,000 agent tasks to get here, and it's still nowhere near ready for serious comparisons, benchmarks or evals.

But the goal is bigger than the current result.

The hope is to either create a new language with tooling designed for agents from the ground up, or take learnings and apply it back to existing languages and ecosystems.

The ideas are simple:

1. Make languages (and new versions) easy for agents to learn, adapt to and fix on the fly, even when not in the training data.
2. Build a standard library comprehensive enough that most projects don't need external dependencies.
3. Create a tight, fast development loop that even small models can reliably work with.

I've never wanted to create a programming language.

But after repeatedly running into the same problems, safe but slow builds, fast but unsafe builds, agents struggling with new languages and version changes, wanting faster builds, smaller bundles and better DX, I started wondering:

Could accelerated, agent-driven iteration produce a language and tooling stack designed around these constraints from the start?

So Zero was born.

[neeboo @ghostcorn]

openai要准备发5.6了，因为5.5开始降智

[neeboo @ghostcorn]

@DashHuang 卧槽和太牛逼了兄弟们是标准的流量勾子

[neeboo @ghostcorn]

从md回html(xml)，接下去是不是回来吹吹sql了

[Thariq @trq212]

https://t.co/MXt5XS4xBX

[neeboo @ghostcorn]

很他妈自豪的说我是人类兜底工程师

[neeboo @ghostcorn]

hooks已经有了，造一个

https://t.co/qYxjiplxG2

[宝玉 @dotey]

请问有没有好用的 Ralph Loop for Codex？
类似于 Claude Code 的 Ralph Wiggum Plugin https://t.co/hBJFsEv8il

用过 oh my codex，给我装了一坨 MCP，魔改了我的 codex Custom instructions，我个人很不喜欢这种。

[neeboo @ghostcorn]

@manateelazycat 老板，我帮你Cue，懒猫算力仓是啥？到哪里可以下单？

[neeboo @ghostcorn]

@idoubicc 模式都一样，做自己的就行了

[neeboo @ghostcorn]

ts-> py->rs

相信我，这是终局，至于zig会不会，等它工具链起来再说

[neeboo @ghostcorn]

@ZainanZhou @fkysly 坚定走fork-rs路线会有福报

[neeboo @ghostcorn]

@ZainanZhou @openclaw @NousResearch 这玩意儿就跟钱包似的，迁移成本太低了

[neeboo @ghostcorn]

大胆猜测，一个月后大家又会从md回到db去harness了

[neeboo @ghostcorn]

@blackanger 有什么所谓，permissionless，是个人都可以喷代码

[neeboo @ghostcorn]

@blackanger 俺已经写完了

[neeboo @ghostcorn]

@blackanger rust化！
https://t.co/msgOcVLteh

[neeboo @ghostcorn]

@iamai_eth 有趣的项目一定要rust化：https://t.co/msgOcVLteh

[neeboo @ghostcorn]

Ok, it's rustify now

https://t.co/msgOcVLteh

[Ben Sigman @bensig]

Excited to announce a new open-source, free-to-use memory tool I have been developing with my good friend @MillaJovovich.

The project is called MemPalace and it is an agentic memory tool that scored 100% on LongMemEval - the industry standard benchmark for memory… this is higher on than any other published results - free or paid - and it is available now on GitHub.

You can check out Milla’s video about it on her Instagram.

I’ll also put some links in the comments below - please try it out, critique it, fork it, contribute to it - and join our discord.

[neeboo @ghostcorn]

Amazing!

[Ben Sigman @bensig]

30 second explanation of the MemPalace by Milla Jovovich.

By day she’s filming action movies, walking Miu Miu fashion shows, and being a mom. By night she’s coding.

She’s the most creative, brilliant, and hilarious person I know. I’m honored to be working with her on this project… more to come.