Alice Hou

Prev. @MessariCrypto @TheBlockCo | Towards an onchain future.

[Alice Hou @Shuting_11a]

Grateful to have my perspective included in a @CoinDesk article for the first time. 🙏

Shared some thoughts on how L1/L2 DeFi dynamics are evolving.

Full piece here: https://t.co/POneo598jY

[Alice Hou @Shuting_11a]

My husband: I think AI agents are perfect for you cuz you like to boss around all the time

[Alice Hou @Shuting_11a]

Valuation is a meme.

Trade the expectations.

[Alice Hou @Shuting_11a]

Genuine question: How are these Chinese models outperforming the U.S. ones despite seemingly having much less funding?

[Arena.ai @arena]

Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5.

This is a 17-place jump from Kimi-k2.6 (#18 -> #1).

In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Simulations, and Content Creation Tools, landing #2 only in Gaming behind Fable 5.

The full model weights will be released by July 27.

Congrats to the @Kimi_Moonshot team on this major milestone!

[Alice Hou @Shuting_11a]

@0xKolten @aave Really cool initiative

[Alice Hou @Shuting_11a]

@stutireal Congratulations!

[Alice Hou @Shuting_11a]

Maybe DeFi should never serve general retail as the front end.

It should just be seen as a backend upgrade, where users can trade 24/7 with more options.

Not a perfect metaphor, but DeFi should feel like an upgraded plumbing system in your apartment. You don’t know how it works, but somehow hot water comes on the moment you turn the tap instead of making you wait 10 seconds.

[Alice Hou @Shuting_11a]

@mzhao8 @HLglobal_ We all love the greens

[Alice Hou @Shuting_11a]

@edviiz I’ll probably become your most annoying power user.

[Alice Hou @Shuting_11a]

@ohdatskate what about the chief vibe officers😭

[Alice Hou @Shuting_11a]

Having a cat is the most toxic relationship.

He destroys your stuff and ignores you 99% of the time.

But then he gives you this look and suddenly all the emotional damage is forgotten.

[Alice Hou @Shuting_11a]

@hahnbeelee I’m interested!

[Alice Hou @Shuting_11a]

Make Ethereum great again.

[Alice Hou @Shuting_11a]

@tarunchitra that's helpful thank u ser

[Alice Hou @Shuting_11a]

Isn’t AMM a natural fit for compute capital markets?

Considering the fact that computes are not fungible and currently only rely on OTCs for hedging risks

AMMs were originally designed to support long-tail, less liquid assets. wondering if any team building on this

[Alice Hou @Shuting_11a]

@sealaunch_ wonder if there's a comparison on the lending APY

[Nav Toor @heynavtoor]

You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.

You thought it was you. It is not you.

Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.

Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.

The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.

Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.

What remains is the average. The safe. The expected. The bland.

Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.

They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.

The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."

The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.

This is not a prediction anymore. It is a diagnosis.

The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.

Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.

[Aoden Teo @AodenTeoMT]

Today, we’re excited to introduce Miso One, the most emotive voice model in the world.

Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.

We’ve open-sourced the model weights, with API access coming soon.

Hear how Miso One sounds in the thread below.

[Alice Hou @Shuting_11a]

@0xCryptoSam make decisions with your heart not your mind🍵

[Zana Ventures @ZanaVentures]

https://t.co/cg06S6yESg

[Alice Hou @Shuting_11a]

@chameleon_jeff @0xSynthesis1 @HyperliquidPC 🔥