Arcium × @BinanceWallet Booster Campaign is live.
Eligibility: Binance Wallet MPC Wallets with at least 2 Alpha Points.
Rewards: 1,500,000 ARX for 50,000 Winners
To join, go to Binance Wallet App - Discover - Booster - Arcium Booster Campaign.
I sold most of my BTC two days ago.
The reason is simple: @Strategy looks like it’s drifting into a negative feedback loop.
BTC down → MSTR/STRC down → mNAV down → common ATM becomes less useful → STRC issuance gets harder → dividend burden keeps running → BTC sales become unavoidable → confidence weakens → mNAV goes even lower.
At this point, Strategy only has about 6.3 months of dividend runway left.
If the 4-year cycle still works, the BTC bottom may come in the second half of this year.
The real question is whether Strategy can survive what might be the worst 6 months of this cycle.
Watching closely.
Mint goes live May 5th at 4 PM UTC.
Fill the form to secure your spot.
https://t.co/cyIhts6cQr
Check your whitelist status here: https://t.co/jZYNL14CoA
Mint goes live May 5th at 4 PM UTC.
Fill the form to secure your spot.
https://t.co/cyIhts6cQr
Check your whitelist status here: https://t.co/jZYNL14CoA
At first I was l0st but I have f0und my way back with @l0f0_00 🧭🐙
Just applied for whitelist:
https://t.co/nH6M7EwOCS
Join the adventure! #l0stANDf0und#IP#NFT
Week two of our first season of AMPs, our points program.
Here’s the roundup.
→ Total AMPs distributed this week: 482,666
→ Unique Wallets earning AMPs: 3,653
→ AMPs earned through referrals: 55,743
Reminder, the best way to stack AMPs is simple:
Just use Decibel 🤞
Season 1 of Decibel’s points program is live with daily distributions!
Not earning yet? Here's every way to stack AMPs 👇
▪️ Trade actively: the more you trade, the more you earn
▪️ Use leverage wisely: higher conviction positions are recognised
▪️ Hold positions: duration matters, in-and-out cycling doesn't
▪️ Explore pairs: go beyond BTC and ETH
▪️ Provide liquidity: deposit into the DLP vault and earn a dedicated daily Amps allocation
▪️ Refer friends: bring users in and earn from their activity
▪️ Stay consistent: daily streaks unlock progressive bonuses that compound over time
The optimal strategy is simple: just use Decibel.
Holy shit… Your anonymous internet identity can now be unmasked for $1 😳
Not by the FBI. By anyone with access to Claude or ChatGPT and a few of your Reddit comments.
ETH Zurich and Anthropic just dropped a paper called “Large-Scale Online Deanonymization with LLMs” and the results are the most alarming privacy research I’ve read this year.
They built an automated pipeline that takes your anonymous posts, extracts identity signals, searches the web, and figures out who you are.
No human investigator needed. Fully autonomous. Works on Hacker News, Reddit, LinkedIn, even redacted interview transcripts.
Here’s how bad the numbers are.
On Hacker News users: 67% identified correctly.
When the system made a guess, it was right 90% of the time.
On Reddit academics posting under pseudonyms: 52%.
On scientists whose interview transcripts were explicitly redacted for privacy: 9 out of 33 still got unmasked.
The pipeline works in four steps they call ESRC. Extract identity signals from your posts using LLMs.
Search for candidate matches using embeddings across thousands of profiles.
Reason over top candidates with models like GPT-5.2. Calibrate confidence so when it does guess, it’s almost never wrong.
The classical deanonymization method from the famous Netflix Prize attack? Nearly 0% recall across every test.
LLMs didn’t just improve on old techniques. They made old techniques look like toys.
When they scaled to temporally split Reddit profiles, matching a user’s old posts to their newer ones across a full year gap, the pipeline hit 67% recall at 90% precision and 38% recall at 99% precision.
Meaning even a year of changed interests and different conversations wasn’t enough to hide.
More reasoning compute = better deanonymization. High reasoning effort doubled recall at 99% precision in some tests. As frontier models get smarter, this attack strengthens automatically. Every model upgrade is a privacy downgrade.
What makes it nearly impossible to defend against: the pipeline splits into subtasks that all look benign. Summarize a profile.
Compute embeddings. Rank candidates. No single API call screams “deanonymization.” The researchers themselves say they’re pessimistic that safety guardrails or rate limits can stop it.
Their conclusion is blunt: “Users who post under persistent usernames should assume that adversaries can link their accounts to real identities.” And it extrapolates.
Log-linear projections suggest roughly 35% recall at 90% precision even at one million candidates.
Every throwaway account. Every anonymous forum post. Every “nobody will connect this to me” comment.
It’s all searchable micro-data now. And the cost to run the full agent on one target is less than a cup of coffee.
Practical anonymity on the internet just died. The paper killed it with math.