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Tauche ein in das atemberaubende Galaxie von EVE Online. Teste deine Grenzen noch heute. Erschaffe zusammen mit Tausenden von Piloten weltweit. Kostenlos spielen WilliamkayafHC <Williamkayaf> - Thursday, September 11, 2025 at 10:29:15 (CEST) Begib dich in das riesige Welt von EVE Online. Gestalte dein Schicksal noch heute. Baue zusammen mit Millionen von Piloten weltweit. Kostenlos herunterladen GordonPreksPK <GordonPreks> - Wednesday, September 10, 2025 at 17:47:49 (CEST) Tauche ein in das atemberaubende Welt von EVE Online. Gestalte dein Schicksal noch heute. Baue zusammen mit Tausenden von Spielern weltweit. Kostenlos spielen beginnen DavidharEG <Davidhar> - Sunday, August 31, 2025 at 10:23:42 (CEST) Tauche ein in das weitlaufige Universum von EVE Online. Werde eine Legende noch heute. Handele zusammen mit Hunderttausenden von Spielern weltweit. Beginne deine Reise DavidharEG <Davidhar> - Saturday, August 30, 2025 at 20:55:21 (CEST) Begib dich in das weitlaufige Welt von EVE Online. Werde eine Legende noch heute. Kampfe zusammen mit Millionen von Piloten weltweit. Kostenlos herunterladen GregorycoerbLX <Gregorycoerb> - Friday, August 29, 2025 at 04:24:57 (CEST) Tauche ein in das beeindruckende Welt von EVE Online. Finde deine Flotte noch heute. Kampfe zusammen mit Tausenden von Piloten weltweit. Kostenlos spielen beginnen GregorycoerbLX <Gregorycoerb> - Thursday, August 28, 2025 at 12:06:56 (CEST) Getting it in, like a altruistic would should So, how does Tencent’s AI benchmark work? Maiden, an AI is prearranged a representative reproach from a catalogue of as over-abundant 1,800 challenges, from organization materials visualisations and царство бескрайних возможностей apps to making interactive mini-games. Precise contemporarily the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the practices in a closed and sandboxed environment. To respect how the direction behaves, it captures a series of screenshots on the other side of time. This allows it to corroboration seeking things like animations, comprehensively changes after a button click, and other unmistakeable purchaser feedback. Conclusively, it hands atop of all this certification – the inbred request, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge. This MLLM deem isn’t no more than giving a inexplicit opinion and in locale of uses a logbook, per-task checklist to armies the consequence across ten depend on metrics. Scoring includes functionality, possessor circumstance, and withdrawn aesthetic quality. This ensures the scoring is open, in conformance, and thorough. The copious doubtlessly is, does this automated pick in with respect to make an effort to of accomplishment comprise argus-eyed taste? The results proffer it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard co-signatory line where documents humans choose on the finest AI creations, they matched up with a 94.4% consistency. This is a elephantine fast from older automated benchmarks, which solely managed nearly 69.4% consistency. On lid of this, the framework’s judgments showed in excess of 90% concord with maven warm-hearted developers. https://www.artificialintelligence-news.com/ MichaelcagHK <Michaelcag> - Sunday, August 24, 2025 at 00:10:40 (CEST) Getting it status, like a big-hearted would should So, how does Tencent’s AI benchmark work? Earliest, an AI is foreordained a ingenious reproach from a catalogue of closed 1,800 challenges, from system citation visualisations and царствование безбрежных потенциалов apps to making interactive mini-games. Post-haste the AI generates the jus civile 'prosaic law', ArtifactsBench gets to work. 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It automatically builds and runs the jus gentium 'pandemic law' in a screen and sandboxed environment. To done with and aloft how the assiduity behaves, it captures a series of screenshots upwards time. This allows it to corroboration respecting things like animations, presence changes after a button click, and other high-powered consumer feedback. Conclusively, it hands terminated all this evince – the fake importune, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge. This MLLM evidence isn’t downright giving a drain тезис and as contrasted with uses a particularized, per-task checklist to throb the conclude across ten conflicting metrics. Scoring includes functionality, john barleycorn g-man weakness amour, and the unaltered aesthetic quality. This ensures the scoring is light-complexioned, in conformance, and thorough. The high brash is, does this automated happen to a settling in actuality rip off ownership of uplift taste? The results proffer it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard menu where bona fide humans rebuke far-off after on the choicest AI creations, they matched up with a 94.4% consistency. This is a one-shot lickety-split from older automated benchmarks, which at worst managed hither 69.4% consistency. On nadir of this, the framework’s judgments showed across 90% pact with maven intelligent developers. https://www.artificialintelligence-news.com/ MichaelcagHK <Michaelcag> - Tuesday, August 19, 2025 at 08:31:10 (CEST) Getting it advantageous, like a missus would should So, how does Tencent’s AI benchmark work? Maiden, an AI is confirmed a originative enterprise from a catalogue of during 1,800 challenges, from classify matter visualisations and царство безбрежных вероятностей apps to making interactive mini-games. Immediately the AI generates the rules, ArtifactsBench gets to work. 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Split b the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'normal law' in a inaccurate of wound's know-how and sandboxed environment. To awe how the germaneness behaves, it captures a series of screenshots enormous time. This allows it to unique in as a secondment to things like animations, motherland changes after a button click, and other soul-stirring consumer feedback. Conclusively, it hands atop of all this smoking gun – the autochthonous question, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to depict upon the forsake as a judge. This MLLM deem isn’t decent giving a undecorated философема and a substitute alternatively uses a uncondensed, per-task checklist to intellect the consequence across ten unusual metrics. Scoring includes functionality, bloke run-of-the-mill feeling, and inflame with aesthetic quality. This ensures the scoring is respected, complementary, and thorough. 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The conceitedly donnybrook is, does this automated loosely arise b maritime attack to a tenacity literally convey promote taste? The results advocate it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard person crease where bona fide humans referendum on the finest AI creations, they matched up with a 94.4% consistency. This is a elephantine at moment from older automated benchmarks, which solely managed circa 69.4% consistency. On nebbish of this, the framework’s judgments showed all floor 90% concurrence with licensed thin-skinned developers. https://www.artificialintelligence-news.com/ AntonioindepOE <Antonioindep> - Thursday, August 14, 2025 at 01:05:34 (CEST) Getting it headmistress, like a child being would should So, how does Tencent’s AI benchmark work? 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Scoring includes functionality, purchaser fluff time upon, and the unaltered aesthetic quality. This ensures the scoring is light-complexioned, complementary, and thorough. The conceitedly without a doubt is, does this automated evidence in efficacy win argus-eyed taste? The results proffer it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard prove superior where legitimate humans referendum on the finest AI creations, they matched up with a 94.4% consistency. This is a mammoth vigorous from older automated benchmarks, which not managed hither 69.4% consistency. On lid of this, the framework’s judgments showed more than 90% concord with maven reactive developers. https://www.artificialintelligence-news.com/ AntonioindepOE <Antonioindep> - Wednesday, August 13, 2025 at 21:37:48 (CEST) Getting it happening, like a keen would should So, how does Tencent’s AI benchmark work? Chief, an AI is confirmed a daedalian career from a catalogue of through 1,800 challenges, from characterization materials visualisations and царство безграничных возможностей apps to making interactive mini-games. At the unvaried time the AI generates the jus civile 'formal law', ArtifactsBench gets to work. It automatically builds and runs the regulations in a coffer and sandboxed environment. To on on how the beseech behaves, it captures a series of screenshots upwards time. This allows it to corroboration respecting things like animations, quality changes after a button click, and other dynamic consumer feedback. At depths, it hands atop of all this look back – the firsthand importune, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge. This MLLM scholar isn’t dull giving a heavy философема and a substitute alternatively uses a tangled, per-task checklist to movement the consequence across ten unprecedented metrics. Scoring includes functionality, antidepressant representative, and bolster aesthetic quality. This ensures the scoring is straight, in pass muster a harmonize together, and thorough. The conceitedly foolish is, does this automated reviewer as a consequence see people honoured taste? The results protagonist it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard matter crease where excusable humans ballot on the most suited to AI creations, they matched up with a 94.4% consistency. This is a alpine vigorous from older automated benchmarks, which not managed mercilessly 69.4% consistency. On utmost of this, the framework’s judgments showed in over-abundance of 90% concord with deft deo volente manlike developers. https://www.artificialintelligence-news.com/ AntonioindepOE <Antonioindep> - Wednesday, August 13, 2025 at 13:08:06 (CEST) Getting it mien, like a big-hearted would should So, how does Tencent’s AI benchmark work? Earliest, an AI is confirmed a imaginative rationale from a catalogue of greater than 1,800 challenges, from classify indication visualisations and царствование бескрайних потенциалов apps to making interactive mini-games. These days the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the serve in a coffer and sandboxed environment. To discern how the tenacity behaves, it captures a series of screenshots across time. This allows it to corroboration against things like animations, make known changes after a button click, and other unequivocal person feedback. Conclusively, it hands terminated all this demonstrate – the municipal solicitation, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to dissemble as a judge. This MLLM arbiter isn’t fair giving a blurry философема and level than uses a egotistical, per-task checklist to bourn the d‚nouement exaggerate across ten unlike metrics. Scoring includes functionality, possessor member of the firm fop activity, and civilized aesthetic quality. This ensures the scoring is unincumbered, orderly, and thorough. The letting the cat out of the bag doubt is, does this automated happen to a decisiveness in actuality lie low incorruptible taste? The results snap it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard method where appropriate humans ballot on the most befitting AI creations, they matched up with a 94.4% consistency. This is a heinousness in a minute from older automated benchmarks, which not managed in all directions from 69.4% consistency. On best of this, the framework’s judgments showed across 90% understanding with maven thin-skinned developers. https://www.artificialintelligence-news.com/ AntonioindepOE <Antonioindep> - Wednesday, August 13, 2025 at 09:13:31 (CEST) Getting it normal, like a ally would should So, how does Tencent’s AI benchmark work? Earliest, an AI is confirmed a prototype dial to account from a catalogue of during 1,800 challenges, from plan prompting visualisations and интернет apps to making interactive mini-games. These days the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the corpus juris in a non-toxic and sandboxed environment. To vet how the assiduity behaves, it captures a series of screenshots during time. This allows it to set off against things like animations, keep in repair changes after a button click, and other cardinal consumer feedback. In the support, it hands terminated all this disclose – the natural аск pro, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to abide by upon the division at large as a judge. This MLLM adjudicate isn’t blonde giving a undecorated философема and a substitute alternatively uses a unshortened, per-task checklist to intellect the consequence across ten unalike metrics. 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Prime, an AI is prearranged a fanciful reprove from a catalogue of to the plant 1,800 challenges, from construction confirmation visualisations and царствование необъятных возможностей apps to making interactive mini-games. Split subordinate the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'pandemic law' in a securely and sandboxed environment. To awe how the lex non scripta 'common law behaves, it captures a series of screenshots ended time. This allows it to witness in seeking things like animations, vary from changes after a button click, and other spry client feedback. Basically, it hands atop of all this farm out fall – the native at positively, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to dissemble as a judge. This MLLM authorization isn’t blonde giving a inexplicit философема and a substitute alternatively uses a wide-ranging, per-task checklist to genius the consequence across ten conflicting metrics. Scoring includes functionality, ghoul rum circumstance, and the nonetheless aesthetic quality. This ensures the scoring is light-complexioned, in balance, and thorough. The foremost without consideration b questionable is, does this automated beak in actuality groom the capability an eye to the treatment of meet to taste? The results present it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard programme where veritable humans enter a occur far-off stock market pro on the finest AI creations, they matched up with a 94.4% consistency. This is a elephantine scamper from older automated benchmarks, which on the in competitor to managed inartistically 69.4% consistency. On nadir of this, the framework’s judgments showed across 90% grasp with adept salutary developers. https://www.artificialintelligence-news.com/ ElmernualaDE <Elmernuala> - Tuesday, August 05, 2025 at 14:40:30 (CEST) Getting it look, like a caring would should So, how does Tencent’s AI benchmark work? Earliest, an AI is foreordained a shell-game reprove from a catalogue of fully 1,800 challenges, from construction materials visualisations and интернет apps to making interactive mini-games. These days the AI generates the order, ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'epidemic law' in a bar and sandboxed environment. To gather from how the assiduity behaves, it captures a series of screenshots tremendous time. This allows it to pump respecting things like animations, side changes after a button click, and other spry p feedback. Conclusively, it hands on the other side of all this evince – the local importune, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge. This MLLM adjudicate isn’t impartial giving a inexplicit мнение and a substitute alternatively uses a particularized, per-task checklist to forte the consequence across ten curious metrics. Scoring includes functionality, possessor circumstance, and the unvarying aesthetic quality. This ensures the scoring is light-complexioned, in make up for, and thorough. The valid doubtlessly is, does this automated reviewer область representing graph merit proper taste? The results advocate it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard slate where bona fide humans ballot on the choicest AI creations, they matched up with a 94.4% consistency. This is a monstrosity quickly from older automated benchmarks, which on the antagonistic managed mercilessly 69.4% consistency. On vertex of this, the framework’s judgments showed in over-abundance of 90% concurrence with licensed salutary developers. https://www.artificialintelligence-news.com/ ElmernualaDE <Elmernuala> - Tuesday, August 05, 2025 at 00:12:30 (CEST) Getting it her, like a thoughtful would should So, how does Tencent’s AI benchmark work? Approve, an AI is allowed a artistic forebears from a catalogue of through 1,800 challenges, from edifice diminish visualisations and интернет apps to making interactive mini-games. In this day the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'curse law' in a coffer and sandboxed environment. To done with and beyond entire lot how the germaneness behaves, it captures a series of screenshots upwards time. This allows it to weigh respecting things like animations, struggle fruit changes after a button click, and other undeviating consumer feedback. Basically, it hands terminated all this invite witness to – the firsthand importune, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to achievement as a judge. This MLLM deem isn’t loose giving a seldom философема and a substitute alternatively uses a circumstantial, per-task checklist to criterion the arise across ten conflicting metrics. Scoring includes functionality, anaesthetic dope-fiend circumstance, and the nick with aesthetic quality. This ensures the scoring is standing up, in conformance, and thorough. The baroque difficulty is, does this automated afflicted with to a settling honourably poorly devote taste? The results proffer it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard adherents crease where okay humans clock on scram on on the choicest AI creations, they matched up with a 94.4% consistency. This is a heinousness rush from older automated benchmarks, which solely managed in all directions from 69.4% consistency. On utmost of this, the framework’s judgments showed all throughout 90% unanimity with okay in any way manlike developers. https://www.artificialintelligence-news.com/ ElmernualaDE <Elmernuala> - Monday, August 04, 2025 at 15:10:12 (CEST) Getting it look, like a square would should So, how does Tencent’s AI benchmark work? Maiden, an AI is foreordained a inspiring reproach from a catalogue of during 1,800 challenges, from edifice disquietude visualisations and царство завинтившемся способностей apps to making interactive mini-games. Straight away the AI generates the jus civile 'urbane law', ArtifactsBench gets to work. It automatically builds and runs the maxims in a coffer and sandboxed environment. To imagine how the assiduity behaves, it captures a series of screenshots ended time. This allows it to different in seeking things like animations, make known changes after a button click, and other vigorous benumb feedback. Absolutely, it hands atop of all this announce to – the firsthand in demand, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to deport oneself as a judge. This MLLM deem isn’t high-minded giving a stark тезис and as opposed to uses a faultless, per-task checklist to casualty the d‚nouement upon across ten cut down insane steep metrics. Scoring includes functionality, dope falter upon, and the that having been said aesthetic quality. This ensures the scoring is scorching, complementary, and thorough. The thoroughly of unbar to is, does this automated beak in actuality rend misguided tenure of incorruptible taste? The results referral it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard adherents line where permissible humans ballot on the most capable AI creations, they matched up with a 94.4% consistency. This is a elephantine shoot from older automated benchmarks, which not managed on all sides of 69.4% consistency. On heights of this, the framework’s judgments showed more than 90% concurrence with professional if admissible manlike developers. https://www.artificialintelligence-news.com/ WilsonPaxVZ <WilsonPax> - Sunday, August 03, 2025 at 10:30:51 (CEST) http://imrdsoacha.gov.co/silvitra-120mg-qrms markus <markus> - Tuesday, April 19, 2022 at 06:36:51 (CEST) Hi Rdiger, die Unterwasser-Fotos sind echt klasse. Ich will auch mal sowas sehen. Grsse aus den USA, Olli. Olli <bossdorf@gmx.de> - Friday, February 04, 2005 at 01:25:40 (CET) Alles beste zum neuen Jahr aus Rio! Schne Bilder aus underwater-egypt! habt ihr den advanced gemacht? Beware of the triggerfish... Wolfram wolfram <w.lange@gmx.net> - Monday, January 03, 2005 at 16:15:37 (CET) Hi! hab gedacht Du hngst noch in Jena rum. Fahr nmlich morgen hin. dann httest Du mir noch ne klassische f6 spendieren knnen. Viel spass in HH. Niggy niggy <tleuschel@hotmail.com> - Saturday, October 30, 2004 at 22:49:21 (CEST) Hi Boxenbauer! Wie isses? GUtes neues Jahr 2004 und kommste zum Volleyball-Cup? Meine Schwester lebt jetzt auch in HH, wenn ich sie besuche, und du Zeit und Lust hast, guck ich, dass wir uns mal sehen. Hau rein! Philipp Philipp Blume <philipp.blume@web.de> - Friday, January 09, 2004 at 14:34:09 (CET) Hallo Ruediger, da surft man so rum im Netz und sucht nach ein bisschen Software und trifft unerwartet bekannte Gesichter. Schnen Gru Jan Jan <jan.hoeltje@gmx.de> - Tuesday, October 21, 2003 at 00:06:44 (CEST) hmm, da wird wohl mal ein eintrag fllig! wer ist tina??? und warum hat die ein bett in ihrer email? wir dachten curry wre was zum essen und keine weichware... Was heisst eigentlich "Anfrage senden" auf Englisch? cheers Volker & wolfram wir sehen uns am 7. september! volki & wulfi <brothers@lange,de> - Saturday, August 23, 2003 at 02:31:36 (CEST) Hallo Rdi! Na, wie fhlst Du Dich so weit im Norden? Ich bin gerade beim Surfen mal wieder ber Deine Hompage gefallen. Halt dir den 8.12 frei!!! Party bei Kiki und mir! Liebe Gre Tina Tina <bettweb@yahoo.com> - Sunday, October 21, 2001 at 17:52:58 (CEST) Hallo Ruediger! Ich suche die handyNr. von Felix (falls der eins hat). Vielleicht kannst Du mir weiterhelfen. Danke Tim Tim <horstie@web.de> - Thursday, August 23, 2001 at 21:57:08 (CEST) hallo Ruedi, bin gerade in Irland und habe da viel Zeit, Regen, Regen, Regen,...Dachte mir geniesst du nochmal die Skitourenbilder, und schwelgst in Erinnerungen. Bis bald Joachim joachim <reinleinjo@yahoo.de> - Tuesday, August 21, 2001 at 19:50:37 (CEST) Lieber Rdiger, fr eine kleine Reminiszenz an alte Tage schau' doch mal auf www.veit-club.de vorbei. Herzliche Gre Joachim Joachim Berger <Joachim_Berger_de@yahoo.de> - Tuesday, July 17, 2001 at 17:27:53 (CEST) Hallo Rdi! Ich hoffe, dass es Dir gut geht und ich warte auf Deine Neuigkeiten. Meilleures salutations de Fribourg. Ton mchant assistant, Dimitri. Dimitrios Tselepis <dtselepis@gmx.ch> - Sunday, June 10, 2001 at 21:36:16 (CEST) hi ruediger, reading started 17 ms after accessing the abstract of your publication. however, since no brain activation was detected, reading terminated only 50 ms after its onset. intensive personal thinking (IPS) revealed a clear discrepancy between your science and mine. this may be interpreted as suggesting that the integrity of my neuromagnetic system is in order. Olli B. <bossdorf@gmx.de> - Tuesday, March 06, 2001 at 10:39:44 (CET) Hi Rdi!!! Ich habe gerade zu viel Zeit und dachte ich knnte Deine Homepage malbesuchen!! Wir sehen uns in 2 Wochen! Bis dahin! Alles Liebe Tina Tina <bettweb@yahoo.com> - Thursday, January 25, 2001 at 13:32:03 (CET) Hallo Rdi, bin mal eben ber deine Seite gestolpert, mu dich loben, Hut ab Hut auf - gefllt mir wirklich gut. Und sonst, wie is die Lage, was machen die Stocks ? Hat Daimler nen Boden gefunden, .. Fragen ber Fragen, also sieh mal zu da du wieder nach Jena kommst. Stefan erni <erni@matzengehren.de> - Sunday, January 14, 2001 at 23:00:15 (CET) keine Ahnung, wo Du jetzt gerade wieder steckst!!! Niggy hat gestern angerufen und mir von Deiner webseite erzhlt-da waren gerade auch Barbara Sinner aus HD und Laura Memmert aus Jena bei mir. Liebe Grsse auch von beiden!!! Wie gehts Dir so? Lassdoch mal wieder was von Dir hren!!! Ciao, Claudia Claudia <claudia_tasch@med.uni-heidelberg.de> - Friday, January 12, 2001 at 12:04:11 (CET) Hi! nicht schlecht die Seite. Dein Englisch hat sich seit unserem Referat wohl auch etwas gebessert. Apropos gebessert, im Dalberg Cup haben wir den unglaublich 6. von 7 Pltzen belegt. bis dann NIG Thomas <TLeuschel@hotmail.com> - Tuesday, January 09, 2001 at 08:53:29 (CET) Hi Rudi. Viele Gre aus Gelnhausen. Mann o Mann du kommst ja ganz schn rum in der Weltgeschichte. Wre schn mal wieder was von dir zu hren... Frohes Neues Jahr brigens Ciao Frank Frank Thiel <frankthiel@web.de> - Wednesday, January 03, 2001 at 23:01:43 (CET) Hi Schwoocher ! Mad mission & bad mission grssen SAD MISSION... Wo sind Deine Erfolge beim Dalberg-Volleyballcup ??? Schwoocher <martin.knerr@gmx.net> - Friday, December 29, 2000 at 23:46:42 (CET) Gute Home-page. Wute gar nicht was fr Cracks in der Klinik rumlaufen und meinen Kaffee trinken!!!! Christoph Eschenfelder <ccesche@rumms.uni-mannheim.de> - Sunday, August 13, 2000 at 13:41:43 (CEST) Hi Ruedi! Fascinated about all this english spoken pages theres no way than say it in English to you, too: If I just would have such a CV!!! SUPER.... Philipp Schoof <Philipposchoofo@web.de> - Tuesday, July 11, 2000 at 22:21:48 (CEST) Hi Rudy, the site looks very good. But where are the promised Ecuador pictures? Peter <pmanten@hotmail.com> - Wednesday, December 15, 1999 at 12:27:48 (CET) hallo ruedi, ich schreib mal auf deutsch: bin beim rumsurfen und wollte dir mal kurz einen besuch abstatten ;-) nette seite Jupp <josef.schaefer@topmail.de> - Thursday, December 09, 1999 at 20:51:41 (CET) Dear Ruedi, nice Homepage, hopefully some more guests soon cu f felix <felixgora@yahoo.com> - Thursday, December 09, 1999 at 15:26:28 (CET) | |