DeepSeek vs ChatGPT how do they compare?

The tasks I set the chatbots were simple but they point to something much more significant – the winner of the so-called AI race is far from decided. How would the chatbots deal with explaining such a complex and nuanced piece of history? ChatGPT responded in seconds with six neatly summarised ideas. One was about a boy called Max who worked as a postman on the moon and was sent on an adventure.

Follow BBC on:

Google’s Gemini assistant gave a similar synopsis to ChatGPT and DeepSeek, and also gave the user the opportunity to click on links from reputable sources such as the Imperial War Museum in the UK. None of these stories are going to challenge Harry Potter or Roald Dahl any time soon, but it is a start for more refined ideas to flourish perhaps. I asked ChatGPT and DeepSeek to give me “ideas for a story for children about a boy who lives on the moon”. ChatGPT’s answer to the same question contained many of the same names, with “King Kenny” once again at the top of the list.

Industry titans have described it as a wake-up call for the West. Venture capitalist Marc Andreessen hailed the success of DeepSeek as a “Sputnik moment”, suggesting it will inject a new level of competition and innovation into the AI landscape. The downturn was triggered by the release of DeepSeek’s latest AI model, which it claims operates at a fraction of the cost of OpenAI’s ChatGPT, the current poster child for modern AI with more than 300 million active users. On Monday, US stock indices took a nosedive as jittery investors dumped tech stocks, spooked by fears that AI development costs had spiralled out of control. The sell-off sparked a trillion-dollar wipeout, according to Bloomberg, hitting US and European chipmakers, AI companies, and energy firms the hardest.

DeepSeek vs ChatGPT – how do they compare?

The buzz around the Chinese bot has hit a fever pitch, with tech heavyweights weighing in. On Monday, Elon Musk poured cold water on DeepSeek’s claims of building its advanced models using far fewer, less powerful AI chips than its US competitors. DeepSeek is increasingly a mystery wrapped inside a conundrum. There is some consensus on the fact that DeepSeek arrived more fully formed and in less time than most other models, including Google Gemini, OpenAI’s ChatGPT, and Claude AI. The emergence of Chinese AI app DeepSeek has shocked financial markets, and prompted US President Donald Trump to describe it as “a wake-up call” for the US tech industry. For all the vast resources US firms have poured into the tech, their Chinese rival has shown their achievements can be emulated.

• Meta, NVIDIA, and Google’s stock prices have all taken a beating as investors question their mammoth investments in AI in the wake of DeepSeek’s models.
• It wasn’t particularly good, with a simple focus on a character going from A to B, but it was a start – and it was impressive how quickly it delivered it.
• The tasks I set the chatbots were simple but they point to something much more significant – the winner of the so-called AI race is far from decided.
• Since we’re poor and our paymasters were unlikely to approve Grok 4 Heavy’s $300 subscription for just one question, we asked the lighter Grok 4 version available via the $30 tier.

Key stats, star players and favourites – meet Euro 2025 final four

• DeepSeek responded in seconds, with a top ten list – Kenny Dalglish of Liverpool and Celtic was number one.
• Alexandr Wang, CEO of Scale AI, who became the world’s youngest self-made billionaire in 2022, warned that the gap between US and Chinese AI is narrowing.
• DeepSeek’s claim that its R1 artificial intelligence (AI) model was made at a fraction of the cost of its rivals has raised questions about the future about of the whole industry, and caused some the world’s biggest companies to sink in value.
• Earlier on Monday, DeepSeek said it was restricting sign-ups to those with Chinese mobile phone numbers.

He highlighted an example from history – James Watt is synonymous with the steam engine, even though he improved it rather than invented it. When you ask ChatGPT what the most popular reasons to use ChatGPT are, it says that assisting people to write is one of them.

He also pointed out that for coders, the combination of models can lead to success. This was echoed by Addy Osmani, who is the Head of Chrome Developer Experience at Google. When ChatGPT experienced an outage last week, X had a number of amusing posts from developers saying they couldn’t do their work without the faithful tool by their side. DeepSeek responded in seconds, with a top ten list – Kenny Dalglish of Liverpool and Celtic was number one. It helpfully summarised which position the players played in, their clubs, and a brief list of their achievements.

The emergence of Chinese AI app DeepSeek has shocked financial markets, and prompted US President Donald Trump to describe it as “a wake-up call” for the US tech industry. Mentioning Baseball-Reference simulations or FanGraphs projections helps ground predictions in established frameworks, rather than pure speculation. DeepSeek doubled down on Los Angeles with a 23% probability, but noted the Dodgers might be riding too much positive sentiment. Despite favoring LA to win, the model said it would rather bet on the Phillies because the risk-to-reward ratio was more compelling. Rather than focusing on years of experience, the company prioritises raw talent, with many of its developers being recent graduates or newcomers to the AI field. This approach, according to its founder, has been key to the company’s growth and innovation.

Grok 4 Predicts Dodgers for World Series Win—But Other AIs Aren’t So Sure

However, Mr Wang expressed doubts about DeepSeek’s claims of using fewer resources to build its models, speculating the company may have access to a large number of chips. Alexandr Wang, CEO of Scale AI, who became the world’s youngest self-made billionaire in 2022, warned that the gap between US and Chinese AI is narrowing. Speaking to CNBC, the entrepreneur called DeepSeek’s latest AI model an “earth-shattering” release. The issues, which began at around 1.30pm UK time, are slowing down the website and playing havoc with the company’s API (the tech that lets other apps talk to DeepSeek’s AI). Either way, I do not have proof that DeepSeek trained its models on OpenAI or anyone else’s large language models – or at least I didn’t until today.

The Upbeat newsletter: Start your week on a high with uplifting stories delivered to your inbox

DeepSeek’s claim that its R1 artificial intelligence (AI) model was made at a fraction of the cost of its rivals has raised questions about the future about of the whole industry, and caused some the world’s biggest companies to sink in value. While the Chinese-US tech race is marked by increasing protectionism, DeepSeek has taken a different approach. Following in the footsteps of companies like Meta, it has decided to open-source its latest AI system.

Interestingly, it gave the Tigers a razor-thin edge over the Dodgers—less than one percentage point separated their odds. Grok’s predictions are certainly in line with other major platforms, including ESPN BET, which shows the Dodgers sitting at +225 as the MLB season approaches the All-Star break. The Detroit Tigers (+750), who are running away with the AL Central, have emerged as a dark horse contender with baseball’s best record at 59-35. Mr Liang has credited the company’s success to its fresh-faced team of engineers and researchers. DeepSeek is an AI start-up that was spun off from a Chinese hedge fund called High Flyer-Quant by its manager, Liang Wenfeng, according to local media.

The Chatbot Revolution: Transforming Healthcare With AI Language Models

And a study of doctors’ conversations with the families of dying patients found that many were not empathetic. They assist users in identifying symptoms and guide individuals to seek professional medical advice if needed. Chatbots must be regularly updated and maintained to ensure their accuracy and reliability. Healthcare chatbot technology in healthcare providers can overcome this challenge by investing in a dedicated team to manage bots and ensure they are up-to-date with the latest healthcare information. For healthcare institutions when it comes to increasing enrollment for different types of programs, raising awareness, medical chatbots are the best option.

• Without sufficient transparency, deciding how certain decisions are made or how errors may occur reduces the reliability of the diagnostic process.
• Accredited physicians must remain the primary decision-makers in a patient’s medical journey.
• This area holds tremendous potential, as an estimated ≥50% of all patients with cancer have used radiotherapy during the course of their treatment.
• That sums up our module on training a conversational model for classifying intent and extracting entities using Rasa NLU.

In addition, longer follow-up periods with larger and more diverse sample sizes are needed for future studies. Chatbots used for psychological support hold great potential, as individuals are more comfortable disclosing personal information when no judgments are formed, even if users could still discriminate their responses from that of humans [82,85]. Although studies have shown that AI technologies make fewer mistakes than humans in terms of diagnosis and decision-making, they still bear inherent risks for medical errors [104]. The interpretation of speech remains prone to errors because of the complexity of background information, accuracy of linguistic unit segmentation, variability in acoustic channels, and linguistic ambiguity with homophones or semantic expressions. Chatbots are unable to efficiently cope with these errors because of the lack of common sense and the inability to properly model real-world knowledge [105].

2 ADA HEALTH

In addition, voice and image recognition should also be considered, as most chatbots are still text based. Chatbots have been implemented in remote patient monitoring for postoperative care and follow-ups. The health care sector is among the most overwhelmed by those needing continued support outside hospital settings, as most patients newly diagnosed with cancer are aged ≥65 years [72]. The integration of this application would improve patients’ quality of life and relieve the burden on health care providers through better disease management, reducing the cost of visits and allowing timely follow-ups. In terms of cancer therapy, remote monitoring can support patients by enabling higher dose chemotherapy drug delivery, reducing secondary hospitalizations, and providing health benefits after surgery [73-75].

• However, humans rate a process not only by the outcome but also by how easy and straightforward the process is.
• With smart chatbots, not only the patient receives a reply within seconds, but exactly when the information is needed the most.
• Speaking with a chatbot and not a person is perceived in some cases to be a positive experience as chatbots are seen to be less “judgmental” [48].

He also noted that doctors may tire more quickly than a bot when providing lengthy, structured responses. Moving into the testing phase, researchers enrolled 20 participants in a study — not actual patients but actors trained to simulate specific symptoms. These individuals engaged in online text-based consultations with AMIE and 20 general practitioners. Participants were unaware of whether they were chatting with a human or a bot and simulated 149 clinical scenarios as instructed by the scientists.

Top 10 Chatbots in Healthcare: Insights & Use Cases in 2024

The literature review and chatbot search were all conducted by a single reviewer, which could have potentially introduced bias and limited findings. In addition, our review explored a broad range of health care topics, and some areas could have been elaborated upon and explored more deeply. Furthermore, only a limited number of studies were included for each subtopic of chatbots for oncology apps because of the scarcity of studies addressing this topic. Future studies should consider refining the search strategy to identify other potentially relevant sources that may have been overlooked and assign multiple reviews to limit individual bias.

This type of chatbot app provides users with advice and information support, taking the form of pop-ups. Informative chatbots offer the least intrusive approach, gently easing the patient into the system of medical knowledge. That’s why they’re often the chatbot of choice for mental health support or addiction rehabilitation services. Acropolium has delivered a range of bespoke solutions and provided consulting services for the medical industry. The insights we’ll share in this post come directly from our experience in healthcare software development and reflect our knowledge of the algorithms commonly used in chatbots.

High patient satisfaction

It is suitable to deliver general healthcare knowledge, including information about medical conditions, medications, treatment options, and preventive measures. Besides, it can collect and analyze data from wearable devices or other sources to monitor users’ health parameters, such as heart rate or blood pressure, and provide relevant feedback or alerts. An AI-enabled chatbot is a reliable alternative for patients looking to understand the cause of their symptoms. On the other hand, bots help healthcare providers to reduce their caseloads, which is why healthcare chatbot use cases increase day by day. Chatbots can also be classified according to the permissions provided by their development platform. Development platforms can be of open-source, such as RASA, or can be of proprietary code such as development platforms typically offered by large companies such as Google or IBM.

Contact to the chatbot is spread through a user’s social graph without leaving the messaging app the chatbot lives in, which provides and guarantees the user’s identity. Moreover, payment services are integrated into the messaging system and can be used safely and reliably and a notification system re-engages inactive users. Chatbots are integrated with group conversations or shared just like any other contact, while multiple conversations can be carried forward in parallel.

Minimum Viable Product (MVP) Development 101: The Main Do’s and Don’Ts

More simple solutions can lead to new costs and workload when the usage of new technology creates unexpected problems in practice. Thus, new technologies require system-level assessment of their effects in the design and implementation phase. With the vast number of algorithms, tools, and platforms available, understanding the different types and end purposes of these chatbots will assist developers in choosing the optimal tools when designing them to fit the specific needs of users. These categories are not exclusive, as chatbots may possess multiple characteristics, making the process more variable. Textbox 1 describes some examples of the recommended apps for each type of chatbot but are not limited to the ones specified. Most chatbots (we are not talking about AI-based ones) are rather simple and their main goal is to answer common questions.