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https://finance.yahoo.com/news/alibaba-releases-ai-model-claims-051704499.html

Alibaba releases AI model it claims surpasses DeepSeek-V3

Updated Wed, January 29, 2025 at 8:16 AM GMT+1 3 min read


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By Eduardo Baptista

BEIJING (Reuters) -Chinese tech company Alibaba on Wednesday released a new version of its Qwen 2.5 artificial intelligence model that it claimed surpassed the highly-acclaimed DeepSeek-V3.

The unusual timing of the Qwen 2.5-Max's release, on the first day of the Lunar New Year when most Chinese people are off work and with their families, points to the pressure Chinese AI startup DeepSeek's meteoric rise in the past three weeks has placed on not just overseas rivals, but also its domestic competition.

"Qwen 2.5-Max outperforms ... almost across the board GPT-4o, DeepSeek-V3 and Llama-3.1-405B," Alibaba's cloud unit said in an announcement posted on its official WeChat account, referring to OpenAI and Meta's most advanced open-source AI models.

The Jan. 10 release of DeepSeek's AI assistant, powered by the DeepSeek-V3 model, as well as the Jan. 20 release of its R1 model, has shocked Silicon Valley and caused tech shares to plunge, with the Chinese startup's purportedly low development and usage costs prompting investors to question huge spending plans by leading AI firms in the United States.

But DeepSeek's success has also led to a scramble among its domestic competitors to upgrade their own AI models.

Two days after the release of DeepSeek-R1, TikTok owner ByteDance released an update to its flagship AI model, which it claimed outperformed Microsoft-backed OpenAI's o1 in AIME, a benchmark test that measures how well AI models understand and respond to complex instructions.

This echoed DeepSeek's claim that its R1 model rivalled OpenAI's o1 on several performance benchmarks.

DEEPSEEK VERSUS DOMESTIC COMPETITORS

The predecessor of DeepSeek's V3 model, DeepSeek-V2, triggered an AI model price war in China after it was released last May.

The fact that DeepSeek-V2 was open-source and unprecedentedly cheap, only 1 yuan ($0.14) per 1 million tokens - or units of data processed by the AI model - led to Alibaba's cloud unit announcing price cuts of up to 97% on a range of models.

Other Chinese tech companies followed suit, including Baidu, which released China's first equivalent to ChatGPT in March 2023, and the country's most valuable internet company Tencent.

Liang Wenfeng, DeepSeek's enigmatic founder, said in a rare interview with Chinese media outlet Waves in July that the startup "did not care" about price wars and that achieving AGI (artificial general intelligence) was its main goal.

OpenAI defines AGI as autonomous systems that surpass humans in most economically valuable tasks.

startup "did not care" about price wars and that achieving AGI (artificial general intelligence) was its main goal.

OpenAI defines AGI as autonomous systems that surpass humans in most economically valuable tasks.

While large Chinese tech companies like Alibaba have hundreds of thousands of employees, DeepSeek operates like a research lab, staffed mainly by young graduates and doctorate students from top Chinese universities.

Liang said in his July interview that he believed China's largest tech companies might not be well suited to the future of the AI industry, contrasting their high costs and top-down structures with DeepSeek's lean operation and loose management style.

"Large foundational models require continued innovation, tech giants' capabilities have their limits," he said.

(Reporting by Eduardo Baptista; Editing by Christian Schmollinger)

[Currobena]

Refloto este hilo para no abrir otro nuevo.


"Who really has the biggest economy?


USA 🇺🇸 $29 trillion gdp
China 🇨🇳 $19 trillion gdp
India 🇮🇳 $4 trillion gdp


Instead of looking at GDP, let’s look at how many goods and services are made and sold in each country.


Cars 🚗


USA 🇺🇸 11 million cars made. 16 million sold
China 🇨🇳 31 million cars made. 23 million sold
India 🇮🇳 6 million cars made. 5 million sold.


Trucks 🛻


USA 🇺🇸 330k trucks made. 800k sold
China 🇨🇳 4 million trucks made. 3.3 million sold
India 🇮🇳 1 million trucks made. 250k sold


Housing 🏠


USA 🇺🇸 2.9 billion square feet
China 🇨🇳 5.8 billion square feet
India 🇮🇳 1 billion square feet


Airplanes ✈️


USA 🇺🇸 200 fighter jets made. Boeing made 348 commercial airliners.
China 🇨🇳 250 fighter jets made. COMAC made 12 commercial airliners.
India 🇮🇳 16 fighter jets made. 0 commercial airliners.


Boats 🛥️


USA 🇺🇸 5 commercial ships made.
China 🇨🇳 1800+ commercial ships made.
India 🇮🇳 0 commercial ships made.


Steel 🏙️🗼


USA 🇺🇸 79 million tons
China 🇨🇳 1005 million tons
India 🇮🇳 150 million tons


Beef 🥩


USA 🇺🇸 12.4 million tons
China 🇨🇳 7 million tons
India 🇮🇳 0 million tons (banned in Hinduism)


Rice 🍚


USA 🇺🇸 5.1 million tons produced. 3.2 million tons exported.
China 🇨🇳 207 million tons produced. 2.3 million tons exported.
India 🇮🇳 135 million tons produced. 20 million tons exported.


Soybeans🫛


USA 🇺🇸 120 million tons. 54 million exported.
China 🇨🇳 20 million tons. Additional 100 million imported.
India 🇮🇳 13 million tons. De minims imports and exports.


Video 📹


USA 🇺🇸 838 billion hours watched
China 🇨🇳 1,238 billion hours watched
India 🇮🇳 1,059 billion hours watched


Work 👨‍💻


USA 🇺🇸 672 billion hours worked
China 🇨🇳 3.372 billion hours worked
India 🇮🇳 3,350 billion hours worked


Surgeries 👨‍⚕️


USA 🇺🇸 92 million surgeries
China 🇨🇳 130 million surgeries
India 🇮🇳 60 million surgeries


Roads 🛣️


USA 🇺🇸 less than 20k km paved
China 🇨🇳 50k km paved
India 🇮🇳 587k km paved


Movie tickets 🎟️


USA 🇺🇸 762 million tickets sold
China 🇨🇳 1,010 million tickets sold
India 🇮🇳 940 million tickets sold


Phones 📱


USA 🇺🇸 0 phones made. 145 million sold
China 🇨🇳 700 million made. 431 million sold
India 🇮🇳 330 million made. 246 million sold


Batteries 🔋


USA 🇺🇸 80 GWh produced.
China 🇨🇳 1,170 GWh produced.
India 🇮🇳 <10 GWh produced.


Electricity ⚡️


USA 🇺🇸 4300 TWh produced, 4250 TWh consumed
China 🇨🇳 10,000 TWh produced, 9000 TWh consumed
India 🇮🇳 1,800 TWh produced, 2,000 consumed.


Airplane and Train Travel 🧳


USA 🇺🇸 876 million passengers by plane, 33 million by train
China 🇨🇳 741 million passengers by plane, 4300 million by train
India 🇮🇳 211 million passengers by plane, 8300 million by train


Oil 🛢️


USA 🇺🇸 21.7 million barrels/day produced. 19 consumed.
China 🇨🇳 4.2 million barrels/day produced. 16.6 consumed.
India 🇮🇳 0.72 millions barrels/day produced. 5.4 consumed.


China’s real economy is the largest by far and India’s comparable to that of the USA, which may not even be a top 3 in 10 years".


https://x.com/Molson_Hart/status/1971781235602346425?t=4WQYhouEdJM1M2jApePUaw&s=19


Recordatorio de que China ya es la primera potencia económica mundial. Sin que tenga que tener democracia. Saludos a Ir- donde quiera que esté.

[sudden and sharp]

Estás comparando cantidades brutas.





Y hay mucha diferencia de población, por ejemplo.

[Currobena]

Estás comparando cantidades brutas.





Y hay mucha diferencia de población, por ejemplo.

Eso no importa a efectos reales. Los alemanes eran más eficientes militarmente que los aliados y aún así perdieron porque producían menos cantidad total.


Cada unidad mía puede valer por dos suyas, pero si ellos producen veinte aún así ganan.

[sudden and sharp]

Las veinte producidas... hay que venderlas luego.

[Currobena]

Las veinte producidas... hay que venderlas luego.

Por debajo de precio de coste es fácil. La diferencia la paga el estado. Igual que aquí con los pisos, solo que en occidente es usted subir su precio.

[sudden and sharp]

Las condiciones que te permiten producir mucho y barato... te impelen luego a vender poco y barato.

Hablando de tu propio mercado, claro. ¿Vas a vender fuera?









Eso... ya depende del otro también. Que no, no va a cerrar el grifo de golpe. Pero parafraseando a maestro warren... podría "administrarlo".

Digo yo.

[Currobena]

Las condiciones que te permiten producir mucho y barato... te impelen luego a vender poco y barato.

Hablando de tu propio mercado, claro. ¿Vas a vender fuera?









Eso... ya depende del otro también. Que no, no va a cerrar el grifo de golpe. Pero parafraseando a maestro warren... podría "administrarlo".

Digo yo.

No son decisiones económicas a corto plazo, sino políticas a largo. Están ganando y se lo merecen, porque no les importa el beneficio a corto plazo. Traen proveedores extranjeros, aprenden y lo mejoran. Incluso ahora:


"Global auto supplier plants and R&D centers in China


Magna: 62 + 10


Lear: 50 + 5


Bosch: 34 + 23


Valeo: 35 + 14


Continental: 23 + 28


Denso: 22


Aptiv: 21


These plants employ hundreds of thousands. Lots of knowledge transfer too".


Nadie es capaz de hacer esto en Europa o Estados Unidos a día de hoy.


https://x.com/dunne_insights/status/1971830094193955276?t=t-VZDRZ8xW5j6Y-Oq1JP_g&s=19

[sudden and sharp]

Yo no te voy a comprar nunca un régimen dictatorial. Sin sindicatos ni datos fiables ni nada de nada.




Si son tan buenos... ¿Por qué tienen que vender a pérdida, según tú?