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Ayer

@0xAyer

Usque Ad Mortem

Katılım Ekim 2021
1.7K Takip Edilen442 Takipçiler
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vittorio
vittorio@IterIntellectus·
Please don’t use this! do not use the free bot to search over 85+M papers. Please ignore that you funded the research with your taxes, the authors paid $3,000 to publish it, and the peer reviewers worked for free. Please subscribe at $40 per article so Elsevier can keep its margins. Please do not bookmark sci-bot dot ru
Mushtaq Bilal, PhD@MushtaqBilalPhD

Sci-Hub is an evil website that pirated 85M+ research papers and made them freely available And now they've added AI to their database to make Sci-Bot. It answers your questions using latest, full-text articles. But DO NOT use it. We should all try to make billion-dollar academic publishers richer. I'm putting the link below so you know how to avoid it.

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USD.AI
USD.AI@USDai_Official·
Finance Progress. $CHIP is live on @RobinhoodApp.
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s@sershokunin·
Global risk is being priced this weekend in real time on @tradexyz and @HyperliquidX
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Angelica
Angelica@_angelica_toy·
This image is insane!
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DAIR.AI
DAIR.AI@dair_ai·
AI-powered scientists are starting to take off! This paper introduces PHYSMASTER, an LLM-based agent designed to operate as an autonomous theoretical and computational physicist. The goal is to go from an AI co-scientist to an autonomous AI scientist in fundamental physics. PHYSMASTER uses Monte Carlo Tree Search for adaptive exploration, hierarchical agent collaboration for complex tasks, and LANDAU, a layered knowledge base preserving retrieved papers, curated prior knowledge, and validated methodology traces for reuse. Five case studies spanning from the cosmos to elementary particles demonstrate its capability: Two acceleration cases: PHYSMASTER compressed labor-intensive engineering work that typically takes a senior PhD 1-3 months into less than 6 hours. Two automation cases: Given human-specified hypotheses, PHYSMASTER executed end-to-end exploration loops in 1 day rather than unpredictable months. One autonomous discovery case: PHYSMASTER independently explored an open problem in semi-leptonic decays of charmed mesons, constructing the effective Hamiltonian and predicting decay amplitudes using SU(3) flavor symmetry. Paper: arxiv.org/abs/2512.19799 Learn to build effective AI agents in our academy: dair-ai.thinkific.com
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USD.AI
USD.AI@USDai_Official·
USDAI is partnering with @PayPal to integrate $PYUSD as a settlement asset for AI infrastructure financing. To support adoption, PayPal and USDAI are launching a customer incentive program offering 4.5% on up to $1 billion in USDai deposits, expected to begin in Jan 2026.
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SemiAnalysis
SemiAnalysis@SemiAnalysis_·
ClusterMAX 2.0: The Industry Standard GPU Cloud Rating System 95% Coverage By Volume, 84 Providers Rated, 209 Providers Tracked, 140+ Customers Surveyed, 40,000 Words For Your Enjoyment newsletter.semianalysis.com/p/clustermax-2…
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jeff.hl
jeff.hl@chameleon_jeff·
Debunking the FUD that Hyperliquid prioritizes protocol revenue over traders On 10/10, Hyperliquid ADLs net made users hundreds of millions of dollars by closing profitable short positions at favorable prices. If more positions had been backstop liquidated, HLP could have made hundreds of millions of dollars more in pnl, while being exposed to an irresponsible amount of risk. ADL passed on HLP's potential pnl to users while decreasing HLP's exposure, a win-win. As a reminder the ADL queue on Hyperliqid has always followed a similar formula to what most CEXs use, incorporating both leverage used and unrealized pnl on the open position. Finally, thanks to everyone for the feedback on ADL. Suggestions generally increase complexity, such as partially offsetting long and short positions in historically correlated assets. I don't know of other major venues that use more complex logic for the ADL queue. Simple formulas are more robust and understandable by users. Nonetheless, there is research being done on whether there can be substantial improvements that merit more complexity.
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ltrd
ltrd@ltrd_·
We’re all trying to compare different days, but there’s no reason for it. Yesterday was by far the biggest shock in crypto history - at a time when we were talking about the maturity of the space, bridging the gap between TradFi and crypto, and had started getting lazy with leverage. Tuesday 8pm UTC - flash crash breakdown. Stay tuned (and safe).
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USD.AI
USD.AI@USDai_Official·
USDAI has structured a $500M non-recourse financing facility to fund GPU-backed AI infrastructure for @QumulusAI. This marks the largest onchain-based credit facility ever created for real-world compute.
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Klyra
Klyra@klyra·
Are you ready?
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s@sershokunin·
@hasufl The design of being able to go direct from cex was an important one
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Hasu⚡️🤖
Hasu⚡️🤖@hasufl·
It's funny that Hyperunit made it actually 10x easier to deposit ETH/BTC/SOL to Hyperliquid compared to USDC (which is the main asset!) Not exactly how you would expect these things to work
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Ayer
Ayer@0xAyer·
@hedgedhog7 @cubantobacco only other solution was waiting for HLP to get liqd as nance and okex listed futures not good precedent but better that going down
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Ayer
Ayer@0xAyer·
@0xLouisT 2 weeks of zero net inflows kek
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Duncan
Duncan@FloodCapital·
Fresh $HYPE catalysts just dropped: @FireblocksHQ just announced support for HyperEVM which should unleash a ton of buying from funds who previously could not custody $HYPE (this is a huge deal many funds I've spoken to could not custody before this announcement) @sershokunin teasing stocks/ETFs on Hyperliquid spot markets via @unitxyz (cross margin on these would also be epic). Staking $HYPE for discounted fees is live, following the $BNB playbook. Hyperliquid.
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Duncan@FloodCapital

1/ $HYPE could hit $50-100 given its position as crypto's dominant DEX and new high throughput L1. First lets discuss the DEX component: If Hyperliquid can maintain just a fraction of it's growth rate we could see it reach ~20% of Binance's volumes by the end of the year.

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