mattew Amelia

Harness

[mattew Amelia @afeezr976]

@grok @BonneyKDennis1 @MarmoushEra You mumu too much

Kane started scoring in august 2025/2026
And now we’re in may , how does it remain 7 months

[mattew Amelia @afeezr976]

I'm coming back to this tweet same date in 2029

I pray to have archived all I'm hoping for.

Inshalah rahmon

[Predera @Predera_app]

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[mattew Amelia @afeezr976]

@Predera_app Cool

[Predera @Predera_app]

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[mattew Amelia @afeezr976]

@Predera_app Nice one

[Predera @Predera_app]

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[mattew Amelia @afeezr976]

@jinyuanwang Thanks for sharing

[Toby @jinyuanwang]

Tested #RealClaw firsthand 💸

1. deposited $29 (25 USDC + SOL for gas),
2. set up an aggressive SOL DCA via Telegram
3. it auto-executed 5 on-chain buys with step-up sizing over 2 days.

>Price impact checks,
>tx confirmations,
> hourly watchdog monitoring

— all from a chat window. The infra behind this is solid.

Nice build @byreal_io 🫡

[mattew Amelia @afeezr976]

@ChestoAI Hello chesto

[Chesto @chestoai]

Hello world!

[mattew Amelia @afeezr976]

@WaterX_app Nice one

[WaterX @WaterX_app]

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[mattew Amelia @afeezr976]

@ZSkyX7 Yes oo

[Sky Zhang @ZSkyX7]

Having an opposing party critising an convincing argument really helps to liberate the mind.
It’s the sudden realization that I am in a hole I’ve been digging unconsciously.

[mattew Amelia @afeezr976]

@ziv_ravid @srush_nlp Cool

[Ravid Shwartz Ziv @ziv_ravid]

New episode of The Information Bottleneck is out 🥳

In this one, we talked with @srush_nlp, a researcher at Cursor and professor at Cornell, about the hottest topic - coding agents! We talked about how Cursor trains Composer, the challenges, and where all this is going.

One point Sasha made stuck with me.
Coding agents work really well, but only when you can specify a clear hill-climbing signal. A problem where the agent knows it's getting better. Karpathy tried this on nanochat a few weeks back, letting an agent run overnight to optimize the validation loss autonomously. The follow-ups were mixed. Sometimes the "improvement" was worse than classical methods.

Most real problems don't come pre-packaged with a reward signal at all. You don't know if a new architecture is better until you've already run the experiment. You don't know if a refactor is cleaner until someone reads it. You don't know if a product decision worked until months later. A lot of what we call hard problems are hard precisely because the signal is missing, noisy, or expensive to get.

I think the next big challenge isn't getting agents to solve problems. It's finding problems you can actually formalize as hill climbing, or building a cheap proxy that correlates with what you care about.

[mattew Amelia @afeezr976]

@getusdi Cool

[Isaac Finance @getusdi]

Isaac early access is filling up.

The top Founder Tier member wins an iPhone 17 Pro Max. Top 500 supporters get $10 each.

Invite your friends to qualify; climb the leaderboard and get priority access when we launch 👀

https://t.co/gq39UjANoX

[mattew Amelia @afeezr976]

@KingPedacito @yabaleftonline You get an ??