JanetDey369884844343 2025.03.22 15:05 查看 : 2
A Kanada és Mexikó ellen kivetett, majd felfüggesztett vámok azt mutatják, Donald Trump mindenkivel az erő nyelvén kíván tárgyalni, aki „kihasználja Amerikát". Míg korábban úgy érezhették a kormánypártiak, hogy az igazság, az erő és a siker oldalán állnak, mára inkább ciki lett fideszesnek lenni. Amiből hasonló logika mentén persze az is kijönne, hogy a gazdagok elszegényedtek, hiszen 2010-ben tíz alacsony státusú háztartás közül hétben megtalálható volt a DVD-lejátszó, ma viszont már a leggazdagabbak körében is jó, ha kettőben akad ilyen. Az amerikai elnök hivatalba lépése óta mintha fénysebességre kapcsolt volna a mesterséges intelligencia fejlesztése, ami persze csak látszat, hiszen az őrült verseny évek óta zajlik a két politikai és technagyhatalom között. Nem csak az Orbán-varázs tört meg, a Fidesznek a közéletet tematizáló képessége is megkopott a kegyelmi botrány óta. És nem csak azért, mert a gazdaságot ő tette az autó- és akkumulátorgyártás felfuttatásával a külső folyamatoknak végtelenül kiszolgáltatottá, hanem mert a vámpolitika olyan terület, ahol nincs helye a különutasságnak: az EU létrejöttét épp a vámunió alapozta meg.
Márpedig a kereskedelmi háború hatása alól - amelyről Világ rovatunk ír - Orbán sem tudja kivonni Magyarországot, még ha szentül meg is van győződve a különalku lehetőségéről. És szerinte ilyen az USA-n kívüli egész világ. AI has lengthy been thought of amongst probably the most power-hungry and cost-intensive technologies - so much in order that main gamers are shopping for up nuclear energy corporations and partnering with governments to secure the electricity wanted for his or her models. Now, serious questions are being raised concerning the billions of dollars worth of investment, hardware, and energy that tech corporations have been demanding up to now. The discharge of Janus-Pro 7B comes simply after DeepSeek despatched shockwaves throughout the American tech industry with its R1 chain-of-thought large language mannequin. Did DeepSeek steal knowledge to construct its fashions? By 25 January, the R1 app was downloaded 1.6 million times and ranked No 1 in iPhone app shops in Australia, Canada, China, Singapore, the US and the UK, based on knowledge from market tracker Appfigures. Founded in 2015, the hedge fund quickly rose to prominence in China, turning into the first quant hedge fund to boost over a hundred billion RMB (round $15 billion).
Free Deepseek Online chat is backed by High-Flyer Capital Management, a Chinese quantitative hedge fund that makes use of AI to tell its buying and selling choices. The other aspect of the conspiracy theories is that DeepSeek used the outputs of OpenAI’s model to practice their mannequin, in effect compressing the "original" mannequin through a process known as distillation. Vintix: Action Model via In-Context Reinforcement Learning. Beside studying the impact of FIM training on the left-to-right functionality, it is usually essential to indicate that the fashions are in reality studying to infill from FIM training. These datasets contained a substantial amount of copyrighted material, which OpenAI says it is entitled to make use of on the idea of "fair use": Training AI fashions utilizing publicly available internet supplies is fair use, as supported by lengthy-standing and widely accepted precedents. It stays to be seen if this approach will hold up long-term, or if its greatest use is training a similarly-performing model with larger efficiency. Because it confirmed better performance in our preliminary research work, we began utilizing DeepSeek v3 as our Binoculars model.
DeepSeek is an example of the latter: parsimonious use of neural nets. OpenAI is rethinking how AI models handle controversial topics - OpenAI's expanded Model Spec introduces tips for dealing with controversial matters, customizability, and mental freedom, while addressing points like AI sycophancy and mature content material, and is open-sourced for public feedback and business use. V3 has a total of 671 billion parameters, or variables that the mannequin learns throughout training. Total output tokens: 168B. The average output speed was 20-22 tokens per second, and the common kvcache size per output token was 4,989 tokens. This extends the context size from 4K to 16K. This produced the base fashions. A fraction of the assets DeepSeek claims that each the training and utilization of R1 required only a fraction of the assets needed to develop their competitors' greatest fashions. The release and popularity of the new DeepSeek mannequin prompted large disruptions in the Wall Street of the US. Inexplicably, the model named DeepSeek-Coder-V2 Chat within the paper was launched as DeepSeek-Coder-V2-Instruct in HuggingFace. It is a followup to an earlier model of Janus released last 12 months, and based mostly on comparisons with its predecessor that DeepSeek shared, seems to be a significant enchancment. Mr. Beast launched new tools for his ViewStats Pro content material platform, including an AI-powered thumbnail search that allows users to seek out inspiration with natural language prompts.
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