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simon

@simononchain

@privy_io | prev @delphi_digital | nfa, oamo

Manhattan, NY Katılım Şubat 2024
995 Takip Edilen10.5K Takipçiler
Ansem
Ansem@blknoiz06·
not sure brother lets ask the class: what are the best ai related tokens
Bruc333@Bruis333

@blknoiz06 Can you update a list with the best AI tokens? Been out for a while, I’m just holding $HYPE but want to expand my altcoin portafolio with AI related tokens.

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ARCHER
ARCHER@ArcherExchange_·
spot maxxing remains undefeated. long your longs without fearing the wick 🫡
ARCHER tweet media
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based16z
based16z@based16z·
Midwest breakfast place has no iced coffee but has 4 IPAs on tap
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eric
eric@defyneric·
i had a call once with someone building a neobank for the aerospace / defense industry he told me each transaction in that industry can often times be in the $100M + range and waiting 3-5 days for wires to settle was a massive pain point so now he’s building a stablecoin powered fintech for defense companies my takeaway from that call was i’m not thinking big enough lol
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New York Post
New York Post@nypost·
France bans Zyns and other nicotine pouches - with violators facing 5 years in prison and a shocking fine trib.al/5zR2Slz
New York Post tweet media
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🐧
🐧@Pentosh1·
Crazy, and not very fun fact If you had been in t-bills OR cash the past 5 years and not taken a single trade, you'd have out-performed the total crypto marketcap, including BTC. And that's without adjusting for inflation If we exclude stablecoins, btc, eth and just go with alts it's the only market in the world to not be or have made ath's during that period.
🐧 tweet media🐧 tweet media
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path.eth 🛡️
path.eth 🛡️@Cryptopathic·
zecbtc is at 7 year highs, its going to move quickly from here
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Mike Bird
Mike Bird@Birdyword·
The attempts to financialise compute are maybe the most interesting thing happening anywhere in markets right now
Steve Hou@stevehou

🚨 After six incredible years at Bloomberg building index products and portfolio solutions, I’m happy to announce I’m stepping into a new role as Head of Research @Silicon_Data. I’m honored to join my former colleague @carmenli—one of the sharpest and hardest-working humans I know—and an exceptionally talented team. We are bringing standard benchmarks and financial derivatives to the physical market of AI compute, which now numbers over a trillion $ in planned expenditures. Last week, Silicon Data and @CMEGroup announced plans to launch the first compute futures. The stakes are high and there are risks in being both too aggressive or too cautious, as evidenced recently by Anthropic’s compute constraints. This is exactly what financial derivatives were meant to do: help measure, transform, and manage capital risks. Silicon Data is systematically collecting a vast amount of data across the entire AI value chain around the globe: GPU rental prices, model token prices, usage and expenditures, utilization metrics, data center bottlenecks, and token economics, just to name a few. Traded financial derivatives on AI data leverage wisdom of the crowd, bring about liquidity and price discovery, and provide builders and users of AI compute the instruments with which they can price their risks and plan their capital allocation. If you’re building AI infrastructure, running data centers, or wrestling with compute allocation, let’s talk. I’m excited to help solve one of the biggest missing pieces in the AI ecosystem. Let’s go! 🚀

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Steve Hou
Steve Hou@stevehou·
🚨 After six incredible years at Bloomberg building index products and portfolio solutions, I’m happy to announce I’m stepping into a new role as Head of Research @Silicon_Data. I’m honored to join my former colleague @carmenli—one of the sharpest and hardest-working humans I know—and an exceptionally talented team. We are bringing standard benchmarks and financial derivatives to the physical market of AI compute, which now numbers over a trillion $ in planned expenditures. Last week, Silicon Data and @CMEGroup announced plans to launch the first compute futures. The stakes are high and there are risks in being both too aggressive or too cautious, as evidenced recently by Anthropic’s compute constraints. This is exactly what financial derivatives were meant to do: help measure, transform, and manage capital risks. Silicon Data is systematically collecting a vast amount of data across the entire AI value chain around the globe: GPU rental prices, model token prices, usage and expenditures, utilization metrics, data center bottlenecks, and token economics, just to name a few. Traded financial derivatives on AI data leverage wisdom of the crowd, bring about liquidity and price discovery, and provide builders and users of AI compute the instruments with which they can price their risks and plan their capital allocation. If you’re building AI infrastructure, running data centers, or wrestling with compute allocation, let’s talk. I’m excited to help solve one of the biggest missing pieces in the AI ecosystem. Let’s go! 🚀
Steve Hou tweet media
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Tommy
Tommy@Shaughnessy119·
Delphi Ventures June Miami Meetup?
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matthew 💭
matthew 💭@yo_itsmatt·
I’m currently going through all 2,500+ @colosseum submissions The amount of high quality projects that have applied is impressive New developer activity is growing exponentially especially in AI and trading When someone wants to start building in crypto - they choose Solana
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CoinDesk
CoinDesk@CoinDesk·
LATEST: Trump Media transfers another 2,650 $BTC worth $205M to @cryptocom, bringing its estimated unrealized loss on its Bitcoin holdings to $455M after buying 11,542 $BTC at an average of $118,522 per coin.
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RunnerXBT
RunnerXBT@RunnerXBT·
shill me a decent crypto debit card as of right now
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