
Samsung has its eye on Perplexity and OpenAI as it plans to expand beyond Gemini
TL;DR Samsung is reportedly looking to expand its AI offerings.
The company is said to be in talks with multiple vendors, including OpenAI and Perplexity.
The aim is to give Galaxy S26 users more choice over what AI model they use.
Samsung has long been partnering with Google to bring Gemini to its Galaxy phones. While this partnership has served Samsung well, a new report suggests the company doesn't want to be tied to only one outside AI model. The firm is said to be in talks with some of Google's biggest rivals in the AI space.
In a very Apple-like move, Samsung is looking to diversify its outside AI agent portfolio. According to Bloomberg, the Korean tech giant has its eyes set on bringing OpenAI and Perplexity into the fold. Choi Won-Joon, president and COO of Samsung's mobile division, told the outlet that the company is aiming to give its customers more choices over what AI they use on the Galaxy S26.
'We are talking to multiple vendors,' said Choi. 'As long as these AI agents are competitive and can provide the best user experiences, we are open to any AI agent out there.'
Back in June, it was reported that Samsung was close to inking a deal with Perplexity. The deal would see Perplexity's services and technologies preloaded onto Samsung phones. Additionally, it's said that Perplexity's search features could be integrated into the Samsung Internet Browser. We may even see Perplexity's technology integrated into the Bixby assistant.
In that report, it was said that Samsung may have been planning to make Preplexity's assistant the default option. The two companies were also reportedly in talks of developing an 'AI-infused' operating system and an 'AI agents' app. This app would be used to support Perplexity and other AI assistants.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
9 minutes ago
- Yahoo
China's birthplace of kung fu rocked by embezzlement probe
Chinese authorities are investigating the head of the temple where kung fu was born over alleged embezzlement and other misconduct, the monastery said. Abbot Shi Yongxin, known as the "CEO monk" for establishing dozens of companies abroad, is suspected of "embezzling project funds and temple assets", the Shaolin Temple said in a statement on WeChat Sunday. It said Shi had "seriously violated Buddhist precepts", including by allegedly engaging in "improper relationships" with multiple women. "Multiple departments" were conducting a joint investigation, the temple said. Shi has previously been accused by former monks of embezzling money from a temple-run company, maintaining a fleet of luxury cars and fathering children with multiple women. China's government exercises authority over the appointment of religious leaders, and "improper" conduct is often grounds for removal from office. A hashtag related to the temple scandal had been viewed over 560 million times on social media platform Weibo, as of Monday morning. The last post to the abbot's personal account on Weibo declared: "when one's own nature is pure, the pure land is here in the present". Shi faced similar allegations in 2015 which the temple called "vicious libel". Shi, 59, took office as abbot in 1999 and in the following decades expanded Shaolin studies and cultural knowledge overseas. He helped the temple establish dozens of companies -- but received backlash for commercialising Buddhism. The temple, established in AD 495, is known as the birthplace of Zen Buddhism and Chinese kung fu. Shi was first elected vice-chairman of the Buddhist Association of China in 2002 and has served as a representative to the National People's Congress, the country's top lawmaking body. mya/oho/tym


CNBC
12 minutes ago
- CNBC
Even with a trade deal, Taiwan will need 'carveouts' or sectoral exemptions: Economist
Nick Marro, lead for global trade & principal Asia economist at the Economic Intelligence Unit, talks about Taiwan's economic growth, from AI-related growth opportunities to tariff risks. He says that even if Taiwan does manage to secure a lower tariff rate with the US, the devil will be in the details of the trade deal.


Forbes
12 minutes ago
- Forbes
Mistral AI's Environmental Audit Puts Spotlight On AI's Hidden Costs
Mistral AI Mistral AI has quantified the environmental price of artificial intelligence with unprecedented transparency, releasing what appears to be the first comprehensive lifecycle assessment of a large language model. The French AI startup's detailed analysis of its Mistral Large 2 model reveals that training alone generated 20,400 metric tons of carbon dioxide equivalent and consumed 281,000 cubic meters of water over 18 months. This disclosure comes as enterprises face dual pressures - implementing AI to stay competitive while fulfilling sustainability commitments. The audit provides decision-makers with concrete data points that were previously hidden behind industry opacity, enabling more informed technology adoption strategies. The numbers from Mistral's assessment illustrate the resource intensity of AI. Training the 123 billion parameter model required energy equivalent to 4,500 gasoline-powered cars operating for a year, while water consumption matched filling 112 Olympic-sized swimming pools. Each individual query through Mistral's Le Chat assistant generates 1.14 grams of CO2 equivalent and consumes 45 milliliters of water, roughly equivalent to growing a small radish. Mistral AI More significantly, the analysis reveals that operational phases have a greater impact on the environment. Training and inference account for 85% of water consumption, far exceeding the environmental cost of hardware manufacturing or data center construction. This operational dominance means that environmental costs accumulate continuously as model usage scales up. Mistral's research identifies actionable strategies for reducing environmental impact. Geographic location has a significant influence on carbon footprint, with models trained in regions with renewable energy and cooler climates exhibiting markedly lower emissions. The study demonstrates a strong correlation between model size and environmental cost, with larger models generating impacts roughly one order of magnitude higher for equivalent token generation. These findings suggest specific optimization approaches. Enterprises can reduce environmental impact by selecting appropriately sized models for specific use cases rather than defaulting to larger, general-purpose systems. Continuous batching techniques that group queries can minimize computational waste, while deploying models in regions with clean energy grids substantially reduces carbon emissions. Mistral's disclosure strategy differs significantly from that of its competitors. While OpenAI CEO Sam Altman recently claimed ChatGPT queries consume just 0.32 milliliters of water per request, the lack of a detailed methodology makes meaningful comparison difficult. This transparency gap presents opportunities for companies willing to provide comprehensive environmental data, allowing them to differentiate themselves competitively. The audit establishes environmental transparency as a key differentiator in the enterprise AI market. As sustainability metrics increasingly influence procurement decisions, vendors providing detailed environmental impact data gain advantages in enterprise sales cycles. This transparency enables more sophisticated vendor evaluations that balance performance requirements against environmental costs. For technology executives, Mistral's audit provides decision-making criteria previously unavailable. Organizations can now factor environmental impact into AI procurement decisions, alongside traditional metrics such as performance and cost. The data enables more sophisticated total cost of ownership calculations that include environmental externalities. Looking ahead, environmental performance may become as critical as computational performance in selecting AI vendors. Organizations that establish environmental accounting practices now position themselves advantageously as regulatory requirements expand and stakeholder scrutiny intensifies. The Mistral audit demonstrates that detailed environmental measurement is feasible, potentially making opacity from other vendors increasingly untenable in enterprise markets.