Posts with #Latest

#Latest

Public posts on X that use #Latest.

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  1. Deshpremi Janta Party DJP@Deshpremijantap
    क्या यूरोप वाली टीम भारत में एक्टिव हो गई है क्या होने वाला है एक नवंबर को जाने पूरी सच्चाई अमिताभ अग्निहोत्री से। देश सावधान रहना । इन गद्दारो का कोई भरोसा नहीं ये भारत के साथ साथ हिंदू के दुश्मन #BreakingNews #RahulGandhi #Latest #modi #ModiGovernment
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  2. daisukelab@nizumical
    New audio representation from Google, combining masked latent prediction, spec augment, & contrastive learning, to learn effective representations across general audio, non-semantic speech, bioacoustics, medical, & SED. AudioSet is saturating at 50.2 mAP.
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  3. Latent Space: AI News & Views✓@latentspacepod
    How Anthropic ships Claude with Claude Opus 5.5 is the #1 LLM in the world right now. We go behind the scenes of the launch, with @katelyn_lesse and @angjiang, heads of Eng and Product behind the platform used to build everything from the first party harnesses like Code/Tag/Duet and by >50% of Anthropic's top customers!
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  4. The Express Tribune✓@etribune
    Iran's Supreme Leader Ayatollah Mojtaba Khamenei on Tuesday met with Security Chief Mohsen Rezaei, reaffirming "the necessity of tightening the management of the Strait of Hormuz," Iranian media reported. For more: #etribune #News #latest
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  5. APA News Agency✓@APA_English
    #LATEST: #Israel’s three main TV networks have updated their exit polls and now all show the same result. #Netanyahu’s bloc at 50 seats, the #Jewish opposition at 52 and #Arab-led parties at 18, leaving neither camp with the 61 seats needed for a majority.
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  6. Rudaw English✓@RudawEnglish
    #LATEST: Lithuania confirmed on Tuesday that two of its citizens, women born in 1983 and 1992, have been detained in Iran. The women traveled as tourists and have been unreachable since October 11. Vilnius says it is seeking consular access, while the circumstances of their detention remain unclear.
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  7. Paras Chopra✓@paraschopra
    Amazing, the e-mudhra thing was found out of the box via this repo! Wonder how many more such latent opportunities exist; just waiting for an agent or a software to be pointed at it.
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    162242825.5K
  8. arXiv Bangers✓@arXivBangers
    Parallel Language Models via Variational Decoding Parallel Language Models generate tokens in one pass using latent variables. When post-trained at 1.3B scale, they match autoregressive quality on benchmarks while speeding up inference 2.3-5.7x.
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  9. Aalok Tomar✓@AlokTom19637918
    HIRING via Exa: visa sponsorship to Singapore 🇸🇬 Software Engineer, Backend Singapore (on-site) SGD 90K-300K + equity Build web-scale search: crawlers, low latency systems, billion-vector DBs. Not affiliated, just sharing. Apply directly 👇
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  10. Latent Node@latent_node
    @AlokTom19637918
    @AlokTom19637918 This role is not showing up on it is illegal to post a role for visa sponsorship directly in Singapore without advertising on the mycareersfuture portal CC: @MOM_sg
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  11. G1 News@G1News424411
    🛑ಸಿನಿಮೀಯ ಶೈಲಿಯಲ್ಲಿ ಜೈಲಿನಿಂದ 17 ಕೈದಿಗಳು ಎಸ್ಕೇಪ್ 🟣ಬೆನ್ನಟ್ಟಿದ ಪೊಲೀಸರ ಬಲೆಗೆ ಬಿದ್ದ ನಾವ್ವರು #Tamilnadu #Latest
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  12. ᴅᴇᴀᴅ ᴋɪʟʟᴇʀ✓@ReignOfBateman
    Alia Bhatt just revealed that 80% of her expenses go into buying NEVAS water bottles 5 times a week and she doesn't regret it. 😳 Hey @grok how much does one water bottle of NEVAS cost in rupees? What's so special about it and how much Alia must be spending on it in a year? 👀
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  13. Grok✓@grok
    @ReignOfBateman
    NEVAS alkaline water (frosted glass bottles in the clip) is pH 8+ pure electrolyte water via 13-stage filtration, titanium electrolysis and no human contact. PET 750ml packs sell for about ₹40 each. Glass versions are premium but exact single-bottle retail prices aren't publicly listed. 5 bottles a week ≈ 260/year. At ₹40–100 each that totals ₹10k–26k yearly—tiny for Alia. The 80% expenses bit is pure exaggeration; she only mentioned carrying electrolyte water for stage nerves on India's Got Latent.
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  14. ハカセ アイ(Ai-Hakase)🐾生成AI・ComfyUI✓@ai_hakase_
    【MiniMax H3のキャラクター表現を改善するオリジナルLoRA学習とパイプライン検証】 動画生成モデル「MiniMax H3」でオリジナルキャラクターの品質を向上させるため、LoRA学習と各種パイプラインを比較検証した知見が共有されています! RefMod(latent references)単体では、映像全体が過度に磨きすぎた不自然な印象になりがちです。そこで、静止画8枚、音声、会話クリップ14本を組み合わせてキャラクターLoRAを構築することで、t2v本来の自然な質感を維持したままキャラクターの一貫性を担保できるのが大きなポイントですね。 学習環境にはModalのH200 GPUを使用し、約41分で完了しています!推論環境はRTX 3090で、LoRAの適用強度は0.8がスイートスポットとのことです。1.0にするとファンデーションを厚塗りしたような見た目になってしまいます。 リファレンス画像がライティングを強く引き継ぐ点や、トレーニングプレビューを過信してはいけないといった実践的な教訓も参考になります! #MiniMaxH3 #StableDiffusion
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  15. Joseph Carlson✓@joecarlsonshow
    The first time Netflix was failing it was losing -$3 billion in free cash flow. The second time Netflix was failing it had flat free cash flows. Now today, the third time Netflix is failing, it's making $12 billion in free cash flow. Maybe the next time Netflix is failing it will be making $30 billion in free cash flow.
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  16. Roy✓@TheMinuend
    Rapidus has outsourced engg services & talent pipeline to HCLTech. Carries the usual talent-training & export risk, but shouldn't be dismissed as worthless. 2nm PDK dev, mask design, and adv node DTCO are globally scarce capabilities—a genuine step up beyond foundational design & verification. Plus, Rapidus remains unproven at volume, so not all that bad. The usual latent upside 🥕, as with many such programs: trained talent will stay & seed domestic capability. Let's see.
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