Kimi K3 was built on top of massive Western investment in HW and model training - industrial distillation of Western frontier models reduces their training needs a lot, they do not have an algorithm for training efficiency breakthrough. And the resulting API still costs as much #KimiK3 #AI #MachineLearning #US
MOONSHOT ACABA DE LANZAR EL MODELO OPEN SOURCE MÁS GRANDE DE LA HISTORIA se llama Kimi K3. 2.8 billones de parámetros. ventana de contexto de 1 millón de tokens. multimodal nativo. lo interesante no es solo el tamaño. usa dos arquitecturas nuevas: Kimi Delta Attention y Attention Residuals. → decodificación hasta 6.3x más rápida en contextos de 1M tokens → ~25% más eficiencia de entrenamiento con menos de un 2% de coste extra → pensado para coding de largo horizonte y trabajo agéntico según los propios benchmarks de Moonshot, K3 solo queda por detrás de Claude Fable 5 y GPT-5.6 Sol. y por delante de Claude Opus 4.8. todo open source. #OpenSource #AI #MachineLearning
Der Artikel beschreibt die Forschung von Ass. Prof. Stefan Neumann von der TU Wien, der einen Algorithmus entwickelt hat, der Polarisierungen in sozialen Netzwerken präziser erfasst und ein differenziertes Bild von Konflikten sowie potenziellen Gemeinsamkeiten zwischen verschiedenen Gruppen sichtbar macht. #Polarisierung #SozialeNetzwerke #MachineLearning
We just released WatchAct, a benchmark for behavior-grounded robot manipulation (covered in the talk below). The robot has to watch a human video, infer what was done, make a plan, and then execute it. The best VLM (Gemini-3.1-Pro) only reaches 36.8% planning success rate, so #robotics #AI #machinelearning #Nocountrycodescanbeidentifiedintheprovidedtweet.
Can we use machine learning to predict longevity drugs? 💊 In our updated preprint led by @AlekseyVBelikov we trained ML models on compounds in the DrugAge database that extend lifespan in mice. Features associated with longevity drugs included receptors for neurotransmitters, #MachineLearning #Longevity #DrugDiscovery #Therearenospecificcountryreferencesinthetweetprovided.Therefore #therearenocountrycodestoreturn.
Btw, Anthropic is not the first company that keeps the good models to themselves. Google’s internal coding models are trained on their own codebase, and are not available publicly #AI #MachineLearning #TechIndustry #Nospecificcountrycodesarementionedinthetweet.
Models will more and more come to accurately gauge intelligence of the user, and take it into account, for purely practical reasons, regardless of company policies. #AI #MachineLearning #UserExperience #Nospecificcountrycodesarepresentinthetweet.
RT @scaling01: GPT-5.5-medium has lower end-to-end latency, uses less tokens and is overall smarter and cheaper than Gemini 3.5 Flash it m… #GPT55 #AI #MachineLearning #Thetweetdoesnotmentionanyspecificcountries.Hence #therearenocountrycodestoreturn.
RT @GoodfireAI: Neural networks might speak English, but they think in shapes. Understanding their rich *neural geometry* is key to unders… #NeuralNetworks #AI #MachineLearning #Thetweetdoesnotmentionanyspecificcountries.
RT @RichardSSutton: The bitter lesson in 26 words: Don’t be distracted by human knowledge, as AI has been historically. Instead focus on m… #AI #MachineLearning #HumanKnowledge #Thetweetdoesnotmentionanyspecificcountries.Therefore #therearenocountrycodestoreturn.
RT @haider1: Yann LeCun says that within a year to 18 months, we'll have a general method for training hierarchical world models These mod… #YannLeCun #AI #MachineLearning #Thetweetdoesnotmentionanyspecificcountries #sotherearenocountrycodestoreturn.
RT @haider1: Yann LeCun says LLMs are strongest in domains where language itself is the substrate of reasoning, like math and code They ca… #LLMs #ArtificialIntelligence #MachineLearning #Thetweetdoesnotmentionanyspecificcountries.Therefore #therearenocountrycodestoreturn.
RT @Cloudflare: The Internet is shifting from human-centric to machine-driven. Are you ready to build for this new reality? Join us at Clou… #MachineLearning #InternetEvolution #CloudComputing #Thetweetdoesnotmentionanyspecificcountries.Thus #therearenocountrycodestoreturn.
RT @haider1: Yann LeCun says you cannot build a reliable agentic system without a world model LLMs don't have world models. They can't pre… #AI #MachineLearning #WorldModel #Thetweetdoesnotmentionanyspecificcountries.Therefore #therearenocountrycodestoreturn.
SpaceX has leased its powerful Colossus 1 supercomputer to Anthropic, marking an unexpected partnership between Elon Musk and the AI firm previously criticized by him, providing Anthropic with significant computational resources to enhance its AI projects while raising concerns about the implications of Musk's control over the infrastructure should Anthropic's AI misbehave. #ArtificialIntelligence #MachineLearning #TechNews #US #DE #EU #IR #AS
Tento článek se zaměřuje na nedávné pokroky v diagnostice pneumonie a predikci výsledků pomocí nástrojů založených na umělé inteligenci (AI), přičemž diskutuje různé metodologie AI, včetně obrazových technik, jako jsou konvoluční neuronové sítě (CNN), a modelů predikce pro klinickou podporu rozhodování, přičemž hodnotí aktuální stav výzkumu, klíčové pokroky a výzvy v oblasti správy pneumonie. #AIDiagnosis #PneumoniaManagement #MachineLearning
Anthropic's new model, Claude Mythos, is so powerful that they're not releasing it. They must have good reasons. They're willing to forgo a lot of revenue. @robertwiblin on what we know so far about how dangerous the current situation is. https://t.co/yPYqYI7nt6 #AI #MachineLearning #Ethics #Nospecificcountriesarementionedinthearticle.Therefore #theresultisanemptyresponse.
Tento článok sa zaoberá využitím prístupov strojového učenia na rozlíšenie medzi osobami s bipolárnou poruchou a hraničnou poruchou osobnosti, pričom identifikuje päť štúdií s rôznymi predikčnými modelmi, ktoré preukázali strednú až dobrú presnosť, čím naznačujú potrebu ďalšieho výskumu na zlepšenie diagnostickej presnosti v praxi. #MentalHealth #MachineLearning #Diagnosis
Článek se zabývá komplexností a variabilitou umělé inteligence (AI) v oblasti behaviorální zdraví, rozděluje ji na umělou úzkou AI a teoretické koncepty jako AGI a super AI, představuje různé funkce AI, jako jsou generativní a prediktivní AI, analyzuje etické a praktické aspekty jejich využití při zlepšení diagnostiky a péče o pacienty, a zdůrazňuje potřebu dodržování etických směrnic a výzkumu pro zajištění bezpečné a efektivní integrace AI do klinické praxe. #ArtificialIntelligence #BehavioralHealth #MachineLearning
RT @CaptainInsightX: Neural networks were declared scientifically dead in 1987. A French PhD student bet his entire career on them anyway ~… #NeuralNetworks #AI #MachineLearning
