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1000 results for “simone_cmcc”

  1. @Alternatecelt It will certainly motivate very strong showings for all of #SinnFein, #Plaid_Cymru and the #SNP at the next #Westminster election, whenever that occurs.

  2. bit.ly/perdidos661
    bit.ly/perdidos661yt

    Perdidos En El Éter #661 - Birds of Prey (por Gail Simone y Ed Benes) (Parte I)

    Recibimos a Maxi, de La Biblioteca de Ultron para charlar de lo que nos gusta: comics. En esta ocasión, vamos a hacer la RE: seña del primer tomo de la etapa de Gail Simone en Birds of Prey, el comic que la catapultó al mainstream del género de superhéroes. No solo la convirtió en una guionista estrella, sino que llevó al equipo fundado por Oracle y Black Canary a ser uno de los grupos más conocidos de DC. Con lápices de Ed Benes, tintas de Alex Lei, color de Hi-Fi, y rotulado de John Workman (entre otros).

    Con música de L7, y Kiss.

    Escuchalo en tu plataforma de podcasts favorita, primero lo subimos a Ivoox:

    bit.ly/perdidos661
    bit.ly/perdidos661yt

    Próximo programa: Star Wars - Maul: Shadow Lord.
    -------------------------------------
    #perdidoseneleter #BirdsOfPrey #comics #superheroes #DCComics #Batman

  3. bit.ly/perdidos661
    bit.ly/perdidos661yt

    Perdidos En El Éter #661 - Birds of Prey (por Gail Simone y Ed Benes) (Parte I)

    Recibimos a Maxi, de La Biblioteca de Ultron para charlar de lo que nos gusta: comics. En esta ocasión, vamos a hacer la RE: seña del primer tomo de la etapa de Gail Simone en Birds of Prey, el comic que la catapultó al mainstream del género de superhéroes. No solo la convirtió en una guionista estrella, sino que llevó al equipo fundado por Oracle y Black Canary a ser uno de los grupos más conocidos de DC. Con lápices de Ed Benes, tintas de Alex Lei, color de Hi-Fi, y rotulado de John Workman (entre otros).

    Con música de L7, y Kiss.

    Escuchalo en tu plataforma de podcasts favorita, primero lo subimos a Ivoox:

    bit.ly/perdidos661
    bit.ly/perdidos661yt

    Próximo programa: Star Wars - Maul: Shadow Lord.
    -------------------------------------
    #perdidoseneleter #BirdsOfPrey #comics #superheroes #DCComics #Batman

  4. At October 28 and 29 the new #wheat experiments could be sown in the #FIP lots after a dark and wet October that didn't allow our soils to dry out sufficiently for sowing. A new European Elite set was contributed by 26 #breeders from all over Europe (Thank you so much). We planted 290 varieties including 40 Varieties of the European #PHENET wheat panel. Thanks Simon, Florent, Brigitta, Afef and Lukas for all the help.

    #crop #phenotyping #European_wheat #PHENET_wheat_panel

  5. Another bad move by #UniversityOfAlberta. Why are such decisions always taken in private? Because admin knows the music-loving public won't have it. Nobody who has heard this #Casavant organ in action will support the removal from its long-revered spot in #convocationhall.
    #yeg
    cbc.ca/news/canada/edmonton/un

  6. Another bad move by #UniversityOfAlberta. Why are such decisions always taken in private? Because admin knows the music-loving public won't have it. Nobody who has heard this #Casavant organ in action will support the removal from its long-revered spot in #convocationhall.
    #yeg
    cbc.ca/news/canada/edmonton/un

  7. Another bad move by #UniversityOfAlberta. Why are such decisions always taken in private? Because admin knows the music-loving public won't have it. Nobody who has heard this #Casavant organ in action will support the removal from its long-revered spot in #convocationhall.
    #yeg
    cbc.ca/news/canada/edmonton/un

  8. Another bad move by #UniversityOfAlberta. Why are such decisions always taken in private? Because admin knows the music-loving public won't have it. Nobody who has heard this #Casavant organ in action will support the removal from its long-revered spot in #convocationhall.
    #yeg
    cbc.ca/news/canada/edmonton/un

  9. Another bad move by #UniversityOfAlberta. Why are such decisions always taken in private? Because admin knows the music-loving public won't have it. Nobody who has heard this #Casavant organ in action will support the removal from its long-revered spot in #convocationhall.
    #yeg
    cbc.ca/news/canada/edmonton/un

  10. 英王查理三世成就解鎖:一場美國國會演說,如何同時取悅特朗普與五批對立群眾?|大學堂 021|🇬🇧🇺🇸
    youtube.com/watch?v=PtRnpwESq8E

  11. SPLITSVILLE
    An unromantic comedy.

    🧡 pradt.co/splitsville

    A film by Michael Angelo Covino, starring Dakota Johnson, Adria Arjona, Kyle Marvin, Michael Angelo Covino, Nicholas Braun, David Castañeda, O-T Fagbenle, Charlie Gillespie, and Simon Webster.

    #SPLITSVILLE

  12. SPLITSVILLE
    If you make the bad thing OK, then there's no guilt.

    🧡 pradt.co/splitsville

    A film by Michael Angelo Covino, starring Dakota Johnson, Adria Arjona, Kyle Marvin, Michael Angelo Covino, Nicholas Braun, David Castañeda, O-T Fagbenle, Charlie Gillespie, and Simon Webster.

    #SPLITSVILLE

  13. @cford I've always believed that we (or at least I) think by jumping to conclusions and then attempting to generate rational arguments to support those conclusions. A semantically augmented #LLM hybrid could generate an answer as #LLMs do now (jumping to a conclusion), and then perhaps parse that answer as a Toulmin structure and use inference to verify it (post-justification).

    I can see how that could be done. It would be interesting to try.

    #ArtificialGeneralIntelligence.

  14. @cford I've always believed that we (or at least I) think by jumping to conclusions and then attempting to generate rational arguments to support those conclusions. A semantically augmented #LLM hybrid could generate an answer as #LLMs do now (jumping to a conclusion), and then perhaps parse that answer as a Toulmin structure and use inference to verify it (post-justification).

    I can see how that could be done. It would be interesting to try.

    #ArtificialGeneralIntelligence.

  15. @cford I've always believed that we (or at least I) think by jumping to conclusions and then attempting to generate rational arguments to support those conclusions. A semantically augmented #LLM hybrid could generate an answer as #LLMs do now (jumping to a conclusion), and then perhaps parse that answer as a Toulmin structure and use inference to verify it (post-justification).

    I can see how that could be done. It would be interesting to try.

    #ArtificialGeneralIntelligence.

  16. @cford I've always believed that we (or at least I) think by jumping to conclusions and then attempting to generate rational arguments to support those conclusions. A semantically augmented #LLM hybrid could generate an answer as #LLMs do now (jumping to a conclusion), and then perhaps parse that answer as a Toulmin structure and use inference to verify it (post-justification).

    I can see how that could be done. It would be interesting to try.

    #ArtificialGeneralIntelligence.

  17. @cford I've always believed that we (or at least I) think by jumping to conclusions and then attempting to generate rational arguments to support those conclusions. A semantically augmented #LLM hybrid could generate an answer as #LLMs do now (jumping to a conclusion), and then perhaps parse that answer as a Toulmin structure and use inference to verify it (post-justification).

    I can see how that could be done. It would be interesting to try.

    #ArtificialGeneralIntelligence.

  18. It gave me a relationship between Queen Victoria and Prince Mstislav I of Kiev which, although probably correct, was not the one I expected.

    Of course, the royal houses of Europe being so intermarried, there's bound to be more than one way of tracing that correction.

    But that does illustrate the possibilities of #LLMs answers:

    1. Correct, and easy to verify;
    2. Plausible, but hard to verify;
    3. False, and easy to refute.

    It's type 2 which are most interesting, and also most dangerous.

  19. It gave me a relationship between Queen Victoria and Prince Mstislav I of Kiev which, although probably correct, was not the one I expected.

    Of course, the royal houses of Europe being so intermarried, there's bound to be more than one way of tracing that correction.

    But that does illustrate the possibilities of #LLMs answers:

    1. Correct, and easy to verify;
    2. Plausible, but hard to verify;
    3. False, and easy to refute.

    It's type 2 which are most interesting, and also most dangerous.

  20. It gave me a relationship between Queen Victoria and Prince Mstislav I of Kiev which, although probably correct, was not the one I expected.

    Of course, the royal houses of Europe being so intermarried, there's bound to be more than one way of tracing that correction.

    But that does illustrate the possibilities of #LLMs answers:

    1. Correct, and easy to verify;
    2. Plausible, but hard to verify;
    3. False, and easy to refute.

    It's type 2 which are most interesting, and also most dangerous.