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First upgrade of PhoenixONE is here - featuring agent thought log. As the research agent is thinking, get a glimpse into the data, insight extraction, and underlying processes. On an average query, Phoenix Crypto Research & Deep Research performs rapid AI contextual search & analysis on 40-50 data sources....

21,901 Aufrufe • vor 1 Jahr •via X (Twitter)

9 Kommentare

Profilbild von James
Jamesvor 1 Jahr

$PHB $50 soon

Profilbild von Virtue of Selfish Investing (VoSI)
Virtue of Selfish Investing (VoSI)vor 1 Jahr

Supercharge your profits using our time-tested, optimized, low risk buying strategies including Pocket pivots, Undercut & Rally, VooDoo low volume signatures, and Buyable Gap-Ups. Two market wizards combine fundamentals with technical timing to stack the odds in your favor.

Profilbild von Serkan Batur💱🪽
Serkan Batur💱🪽vor 1 Jahr

$phb best a.i project of crypto world 🚀🫶🔥

Profilbild von tesla369
tesla369vor 1 Jahr

Wow 🤩🤩🤩

Profilbild von Patelz
Patelzvor 1 Jahr

Hidden gem about to go parabolic $phb

Profilbild von Süleyman
Süleymanvor 1 Jahr

@Phoenix_Chain Why is it working so slowly? Thanks

Profilbild von doxuanthao🦴
doxuanthao🦴vor 1 Jahr

New ATH soon

Profilbild von Crypto Gamer
Crypto Gamervor 1 Jahr

what about those people who invested in project and your developer dump the coin to the bottom? 2.6 to 0.3

Profilbild von Muhammad Ahsan
Muhammad Ahsanvor 1 Jahr

Beautiful

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auto-research is starting to gain traction as a very viable paradigm for creating useful research discovery. now, that paradigm is still in its infancy and the infrastructure to hold all that trail of context as the agents blaze through experiments isn't well defined (to say the least). on that topic, I had the chance to chat with my boys francesco and giulio from paradigma about what underlying infra is needed to make this paradigm work. the paradigma's paradigm, which involves copious amount of DAGs, make this auto-research paradigm a paradigmatic case of essential infrastructure. here's the full video in full: - 0:00 - what is missing from auto-research? - 2:02 - giulio and francesco ai journey - 8:10 - research infra is the bottleneck? - 10:18 - paradigma vision of autonomous research - 13:17 - “important discovery per joules” - 17:15 - why is DAG the unit of research for auto-research? - 20:40 - is paradigma trying to replace the research publication? - 24:50 - how does knowledge is shared between experiments in the DAG? - 27:34 - what is even auto-research lol? - 33:53 - the value of the human mind in this auto-research future. - 37:00 - how do you reconcile hallucination in this auto-research paradigm? - 41:33 - the adoption of auto-research across varied fields? - 47:30 - ✨ introduction to the auto-research infrastructure. ✨ - 56:55 - where is the code? - 59:10 - full IDE next? - 1:03:20 - the place of the human in this DAG / code quality? manual node? token spent? - 1:16:02 - who’s the user for auto-research? - 1:18:13 - how to validate bad DAG? - 1:20:18 - ✨ auto-research agent results ✨ - 1:22:53 - ✨ how a big research DAG looks like? ✨ - 1:25:10 - how to get the canonical DAG for the final result? - 1:27:50 - the auto-research DAG being the new pre-print? - 1:30:05 - what’s next for paradigma and the auto-research infra? - 1:35:00 - what are they excited about research wise? enjoyyyyy my guys 🌹

Yacine Mahdid

12,091 Aufrufe • vor 3 Monaten