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Posts with #OpenModel

#OpenModel

Public posts on X that use #OpenModel.

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  1. Myrikko✓@Myrikko
    12 days in, GLM-5.3-Flash is already our most-used open-weight model by user count. Frontier intelligence, competitive pricing. If you’ve been meaning to try it, now’s a good time to put it to work on your own workloads. #GLM #openmodel
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  3. 【ぱそこん相談室】@pc_sdn
    NVIDIA Nemotron 3.5 発表 ～ 3つのオープンモデルが登場 ～ 2026年10月15日、NVIDIA は AI モデルの Nemotron ファミリーに、新しく 3つのモデルを加えたと発表しました。企業の大きな仕事向けの Nemotron 3.5 Super V… #Nemotron #OpenModel #AIAgent #LocalAI
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  5. CARLA Simulator@carlasimulator
    CARLA community, help us welcome Alpamayo 2 Super: frontier open 34B VLA model for robotaxis & autonomous vehicles. If you're building AVs, this should be on your watch list: #AV #OpenModel #Reasoning
    NVIDIA @nvidia
    Meet Alpamayo 2 Super, now commercially available for robotaxis and autonomous vehicles. Built for complex real-world driving, this open reasoning model adds 360° awareness, high-level driving decisions and automated reasoning labels. We built it, so you can build on it.
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  6. NVIDIA✓@nvidia
    Meet Alpamayo 2 Super, now commercially available for robotaxis and autonomous vehicles. Built for complex real-world driving, this open reasoning model adds 360° awareness, high-level driving decisions and automated reasoning labels. We built it, so you can build on it.
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    801791.3K132K
  7. Jun Song✓@jun_song
    People keep asking why DeepSeek’s API is so cheap. Some even make absurd claims that they’re dumping prices to corner the market. No, the answer is simple: their model size is ridiculously small compared to its performance. It's 10x smaller than Opus, and 5x smaller than Sonnet. That means what used to require an 8-chip node can now run on a single chip. And because it's so small, it runs extremely fast. You can multi-serve multiple users from a single chip while maintaining decent speeds. By my math, they can handle 40x~ more traffic than Opus using the exact same compute. This is where the competition is heading, and it’s why they can stay profitable even at these crazy prices.
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  9. ao✓@oH2i0Dp9va51350
    ちょ すごいの出る！ どれくらい使えるか、どう使うかまだ分からないけど #MisoOne #AI #openmodel
    Aoden Teo @AodenTeoMT
    Today, we’re excited to introduce Miso One, the most emotive voice model in the world. Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency. We’ve open-sourced the model weights, with API access coming soon. Hear how Miso One sounds in the thread below.
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  10. Aoden Teo✓@AodenTeoMT
    Today, we’re excited to introduce Miso One, the most emotive voice model in the world. Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency. We’ve open-sourced the model weights, with API access coming soon. Hear how Miso One sounds in the thread below.
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    5527069.7K5.3M
  11. OpenModel_H2020@OpenModel_H2020
    Exciting news! Preparations are underway for our upcoming OpenModel #Workshop on September 17th-18th in Hamburg. For more information, visit our website at Register here for the workshop #OpenModel
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  12. Alastair Leith@AlastairClimate
    @Craig_Hotrum
    @Craig_Hotrum @DavidOsmond8 @cadlam @nicknet100 @GlenneDrover @BieglerTom @sideen_dan @cat240359 @markcojuangco @JC47053522 @TheOmeg55211733 @icowrich @jm493_au @DavidGlynneJon1 @FollowTheScien4 @EuphoricEuler @RoderickBeck @ianpmcleod @roobar99 @e2dot7182818284 @AlScottRational @stepien_przemek @richwal94842899 @Ramosen26 @AlanPeery @LesleyG78347579 @EarnestBunbury1 @aliebman @HPsiEqualsEPsi @TimLloydArts @dale_wen @xiaowang1984 @unclepete_100 @EnergyJvd @Nuclearjunkie @LesJohnsonHrvat @Daniel03187025 @civilengineer @james_jobrien @FissionGoing @montaguethecat @aaron_oakley @AustNuclear @diggerdeegs @Numbat73 @yestiseye @greg_barton @GretaThunberg @ziontree @TomHess_ it's not an emissions mistake. we should be using as much PV as we can not FF generation. firm it with dedicated batteries with AI software, they do a better job of ESS/FCAS than FF anyhow, faster, cheaper, smarter.
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  13. Tom Biegler✓@BieglerTom
    @e2dot7182818284
    @e2dot7182818284 @cat240359 @markcojuangco @nicknet100 @DavidGlynneJon1 @JC47053522 @FissionGoing @montaguethecat @DavidOsmond8 @cadlam @GlenneDrover @sideen_dan @TheOmeg55211733 @icowrich @jm493_au @FollowTheScien4 @roobar99 @AlScottRational @Ramosen26 @AlanPeery @LesleyG78347579 @EarnestBunbury1 @aliebman @TimLloydArts @dale_wen @xiaowang1984 @unclepete_100 @EnergyJvd @Nuclearjunkie @LesJohnsonHrvat @Daniel03187025 @civilengineer @james_jobrien @AustNuclear @diggerdeegs @Numbat73 @yestiseye @greg_barton @GretaThunberg @WorldNuclear Those products should never be in the same chart. Solar and wind, unless firmed, can only be sold when blended with firmed products. Except maybe to the domestic laundry market. Even then it can’t be worth much. What a con!
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  14. Defender of🇪🇺Sir Rant's Alot Res publica of🇪🇺✓@e2dot7182818284
    @BieglerTom
    Hi Tom, encourage you to supply a full #opendata #openmodel to argue your case. A good starting point would be Open-Tyndp from @OETenergy (based on @pypsameetsearth ) Open Tyndp includes a way to do standard cost benefit analysis @ENTSO_E & @ENTSOG use closed source plexos internally, but publish the data. In the 2050 scenarios, methane+H₂ is ~5% of generation capacity but only ~0.2–0.5% of total annual @ENTSO_E generation from that path . That translates to ~12–33 TWh/year in a ~6,800 TWh/year electricity system. system, with & without more nuclear generation. In other words: There is a lot less firming than you seem to assume, Tom @cat240359 there's never been & there never will be a nuclear power plant without state subsidies, so I consider the point raised against solar & wind moot.
    Defender of🇪🇺Sir Rant's Alot Res publica of🇪🇺 @e2dot7182818284
    See @ENTSO_E @ENTSOG s 2024 scenarios modeling package Global Ambition = more nuclear Distributed Energy = more renewables Near identical H2 based electricity generation capacity needed in both scenarios The only thing you get from more npp ⚡️ generation in the mix is an even lower capacity factor for h2/e-methanol peakers & seasonal balanceing plants that are necessary in any scenario ⬇️QT🧵
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  15. Defender of🇪🇺Sir Rant's Alot Res publica of🇪🇺✓@e2dot7182818284
    @e2dot7182818284
    See @ENTSO_E @ENTSOG s 2024 scenarios modeling package Global Ambition = more nuclear Distributed Energy = more renewables Near identical H2 based electricity generation capacity needed in both scenarios The only thing you get from more npp ⚡️ generation in the mix is an even lower capacity factor for h2/e-methanol peakers & seasonal balanceing plants that are necessary in any scenario ⬇️QT🧵
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  17. Tinapera.eth@ppyongjh
    GM 探索 @OpenGradient 一周了，亲测 MemSync 记忆很稳，digital twin 会记住对话，推理更连贯也更有持续性 去中心化 model hub、版本控制与可追溯 provenance，ZKML+TEE 让推理可验证不再黑盒 一起建设 #OpenModel 未来
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