ned.less

Fan of Maths | Quants | DAOer | Advisor | Speaker | Oxbridger

[vivienna.btc @viviennaBTC]

https://t.co/KQ85leEU3Q

[ned.less @ninges]

@xiaohu @readwise save thread

[ned.less @ninges]

@dotey @readwise save thread

[Ignas | DeFi @DefiIgnas]

Uniswap fee switch proposal is killing the decentralized DAO model.

Uniswap foundation activities move to Uniswap Labs, meaning...

...decision power moves from a non-profit organization governed by $UNI holders to a Delaware centralized corporation.

- Most Foundation employees move to Uniswap Labs
- The Foundation only keeps a tiny grants team
- After the remaining ~$100M grants are deployed, the Foundation shuts down

Thus $UNI token is no longer a DAO token but a token purely valued by buybacks/fees Uniswap will be able to generate.

It's not a criticism but admitting the facts that:

- The DAO model was indeed just pretending decentralization due to regulatory struggles
- DAOs are inefficient at governing and allocating resources

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Uniswap isn't the first to do it either:

- Scroll fully shuts down the DAO and moved to centralized governance

- Arbitrum's "Vision for the Future" moves many decisions to the core group of Arbitrum Foundation and Offchain Labs to 'fix inefficiencies'

- Optimism Season 8 centralizes power by moving real decisions to curated stakeholder groups and councils while tokenholders only keep veto rights

- Lido’s BORG model centralizes execution into legal foundations run by appointed directors while the DAO only sets high level direction

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The famous a16z "Progressive Decentralization" model of finding PMF and exiting to the community for sufficient decentralization is dying.

Or it was just simply pretending in the first place.

[ned.less @ninges]

The math behind liquidity intelligence: bounded updates, exponential convergence, MEV-proof by design. Here shows you how adaptive markets actually work. From whitepaper to mainnet. 📐🔥 @EndlessProtocol @sliswap https://t.co/Kpmsdpskmu

[ned.less @ninges]

What if liquidity pools could learn? Sliswap gives AMMs a learning rate — adaptive curves that evolve with every trade, slashing slippage and starving MEV bots. DeFi just got intelligent. 🧠 @EndlessProtocol @sliswap https://t.co/gGZoMvd35I

[ned.less @ninges]

@WaFFsdzAiNop @readwise save thread

[Luffa @LuffaApp]

🎉 Big Milestone!

Luffa has officially onboarded 1 MILLION users!

We’re just getting started — thank you to our amazing community for joining us reach this incredible milestone.

#Luffa #CreatorEconomy #Milestone #SocialFi

[ned.less @ninges]

@Sumanth_077 @readwise save thread

[Miasma | Endless 𒀭 @miasmaaa_]

https://t.co/4w2b09D6jb

[ned.less @ninges]

@foxshuo @readwise save thread

[Chip Huyen @chipro]

New blog post: Multimodality and Large Multimodal Models (LMMs)

Being able to work with data of different modalities -- e.g. text, images, videos, audio, etc. -- is essential for AI to operate in the real world.

This post covers multimodal systems in general, including Large Multimodal Models. It consists of 3 parts.

* Part 1 covers the context for multimodality.
* Part 2 discusses how to train a multimodal system, using the architectures of CLIP and Flamingo, and examples from GPT-4V.
* Part 3 discusses some active research areas for LMMs, including generating multimodal outputs.

As always, feedback is appreciated!
https://t.co/5KUi1cNMqP

[Sumanth @Sumanth_077]

If you are using jupyter notebooks for Python and Data Science, try these 7 magic commands that will save you a ton of time:🧵

1. Jupyter AI: Select any model and chat with it right from the Jupyter Notebook.

[ned.less @ninges]

After Brexit, there is finally some good news.

[ned.less @ninges]

@SmartCryptology link is not working

[ned.less @ninges]

Is there anyone at the Royal Statistical Society's annual meeting this year?

[ned.less @ninges]

Get up at 6:30 am to participate in the discussion on the impact of artificial intelligence on society. It is indeed a bit cruel, but it is very, very interesting.
https://t.co/1URxvwvb0x

[ned.less @ninges]

King's College in Cambridge is a godlike existence, producing countless famous and brilliant brains.