Threading on the Edge

you can fade the points buts its harder to fade Fidelity's $1T AUM partnership

i am betting on one of the best RWA products that will own distribution, by farming thBILL in s1 and then rotated into thUSD when the points program went live

you are still early to @Theo_Network when its:
- pre tge phrase (points farming)
- build rwa products with Fidelity that manages $7T AUM
- strong rwa metrics unseen in defi with $90m in rwa capital deployed

@Theo_Network is showing how institutional funds can be packaged into crypto-native treasury products like thBILL and thUSD

FILQ now becomes the second institutional underlying inside thBILL, alongside ULTRA, the Wellington Management / Libeara product custodied at Standard Chartered.

thBILL is becoming a diversified basket of institutional-grade liquidity products, connected to onchain rails.

issuance creates assets > distribution > utility > attract capital

https://x.com/arndxt_xo/status/2072300141223252317

idk if you guys are actually paying attention but my newsletter is free

i've shared these there so if you have actually bothered to read, you would have made:

$ALAB
+310%
$CRDO
+90%
$PENG
+190%
$NBIS
+210%

with a 10x leverage

we keep printing even when
$BTC
is dumping

though i am getting skeptical with this highly leveraged financial markets which is feeling eerily similarly to the the 2008 housing crisis, where loans upon loans are being taken out

perhaps a (vicious) circular economy of money transfer?

KOPSI hitting circuit breakers
central bank are getting wary and restructuring riskapproach to ensure a safe unwind, if it were to happen

i dont have a clue when the muscial chairs will stop and if they would, so till then we just keep riding it

https://x.com/arndxt_xo/status/2072138991135277397

After months of hard work, late nights and peer reviews-- it's finally here

The most complete (meme)coin guide ever made

100% free, you can find the link below

(中文版也已上线!)

Enjoy 🫶

https://x.com/spyzer/status/2044404091002986630

the real opportunity is not to build better crypto apps

it is to build apps where crypto is the invisible infrastructure that enables new behaviors, better economics, faster settlement, global access, ownership, programmability, or coordination

the winning products will not ask users to care about crypto. they will use crypto to give users something they could not easily get before:

- most consumer crypto products have failed because they were built from the protocol outward instead of the user backward
- they started with the asset, the wallet, the chain, or the token mechanic, then tried to find a use case
- but users do not wake up wanting to use stablecoins, wallets, NFTs, or DeFi. they wake up wanting to send money, save money, earn, access opportunities, coordinate with friends, build identity, join communities, pay bills, invest, play, create, or escape broken financial systems

the next wave of crypto consumer apps will be outcome-first, not crypto-first.

crypto will become the access layer to new consumer experiences, but it should not be the main thing the user sees. the user should feel the benefit before they understand the mechanism.

1. anchor the product in a clear user outcome
2. serve users who already have the problem today
3. create a 10x advantage over incumbents
4. align with a rising consumer behavior shift

https://x.com/arndxt_xo/status/2071655922850836905

How to build a great crypto consumer app in 2026.

1. Think in terms of outcomes:
2. Real users from day one
3. 10x better, not 10% better
4. Catching key lifestyle trends

https://x.com/binji_x/status/2071536552123994203

my view is simple:

memory still remains the core of the current AI trade

but after this move, the more interesting opportunity may shift toward the second-order beneficiaries: neoclouds, interconnects, memory pooling, CXL and the broader infrastructure layer that makes inference scale possible

these are likely the specific constraints the market has not fully priced yet

the AI trade is also becoming more macro-sensitive

this is no longer just about earnings and capex. it is also about real yields, credit spreads, dollar liquidity, power costs and the long end of the curve.

AI infrastructure is capital intensive:

- if real yields rise, multiples compress. if credit spreads widen, financing becomes harder. if power costs rise, inference economics deteriorate
- but if inflation cools, long-end yields stabilize and credit remains open, the AI buildout can continue

that is where inference matters

every agent, coding workflow, enterprise automation and real-time AI interaction consumes compute. training was the first compute shock, but inference is recurring

if inference can be monetized profitably, AI infrastructure demand becomes recurring too

so no, i do not think this is the end of the AI trade

i think the market is moving into phase two

phase one was about obvious scarcity

phase two is about the next bottleneck: memory bandwidth, interconnects, neocloud capacity, CXL, power and compute utilization

the trade is not over, only becoming more selective

https://x.com/arndxt_xo/status/2071153352252272865

62 crypto projects died in 2026:

https://x.com/DefiIgnas/status/2070532814051942582

Inside the Silicon Photonics Supply Chain Powering AI

https://x.com/Eli5defi/status/2070079273357234581

Is this the end of the AI trade

https://x.com/arndxt_xo/status/2070393141019218329

https://threadingontheedge.substack.com/p/is-this-the-end-of-the-ai-trade

just fill this no question asked

thank me later

https://x.com/canbildik/status/2069452144067891699

50 WEBSITES GOOGLE DOESN'T WANT YOU TO KNOW

https://x.com/allen_explains/status/2069748007264985445

How to print 15% APY on $HYPE (Zero Price Exposure) 👇

https://x.com/DarkLord_gr/status/2069886022251397175

the chinese AI models are dominating, along with the obvious split of the AI model market into 2 very different games

the first is revenue

the second is volume

OpenAI, Anthropic and Google still dominate revenue because enterprises buy trust, support, security, procurement, and integration. that part of the market moves slowly and is heavily shaped by cloud GTM, solution architects, and existing enterprise relationships

but OpenRouter is showing the leading edge of volume

by may 2026, chinese open-weight models were roughly 61% of tokens consumed on OpenRouter. four of the top five models were Chinese. Llama, once the default open-weight leader, has effectively disappeared from the top rankings

the cost-performance center of gravity for open-weight inference has shifted east

DeepSeek-V4-Pro pricing at roughly 12x below GPT-5.5 makes the point clear. the mass market does not always pay for the absolute frontier. it pays for the cheapest model that is good enough for the task

openRouter usage shifted heavily toward code, with programming rising from roughly 11% of usage at the start of 2025 to more than 50% by mid-2026. coding is high-volume, repeatable, and price-sensitive. that is exactly where cheap, capable open-weight models compound

premium reasoning is a high-margin niche. cheap, open, good-enough inference is becoming the volume layer

if the best open weights are increasingly Chinese, large enterprises will hesitate. export controls, procurement risk, data sensitivity, and political optics matter far more to a Fortune 500 buyer than to a startup trying to cut inference cost

so the market likely bifurcates, where startups chase performance per dollar, while enterprises stay with approved Western vendors longer:

- that delay creates a temporary distortion, not a permanent moat

- the real investment implication is that margin is moving away from the model layer

- it accrues above the model through distribution, workflow ownership, and application lock-in

- it accrues below the model through cloud, inference routing, optimization, and compute infrastructure

the model itself still matters, but in the volume tier it is becoming increasingly replaceable


https://x.com/arndxt_xo/status/2069994796048158939

- $Eigen built a cool AI product where you can use your macbook pro to make money
-Token is in range since Feb
-Listed on openrouter already and token usage is uponly
-looking at the pa, people are just accumulating
-let's see what happens in a week or two

https://x.com/alpinestar17/status/2068066271053414467

but one way or another, this gap needs to move back toward equilibrium

https://x.com/arndxt_xo/status/2069824815511543814

Only a few DeFi projects do buybacks that exceed their token emissions.

In the past 90 days:

https://x.com/TheDeFinvestor/status/2069767296328061239

In practice, token value accrual models fall into a few broad categories:

https://x.com/Eli5defi/status/2069661821586510040

How To Use Loop Engineering To Build A Self-Improving Quant Trading System

https://x.com/RohOnChain/status/2069056530960490835

COMPLETE PORTFOLIO + FARMING OVERVIEW

Overall asset split:
Stables: 88.13%
HYPE: 3.69%
BTC: 2.81%
ETH: 2.51%
JLP: 1.77%
SOL: 0.61%
Others: 0.48%

https://x.com/3liXBT/status/2069475822545555496