DeepSeek Goes Beyond “Open Weights” AI With Plans For It's Source Code Release
Chinese AI firm says daily releases will reveal "code that moved our tiny moonshot forward."
Last month, DeepSeek turned the AI world on its head with the release of a new, competitive simulated reasoning model that was free to download and use under an MIT license. Now, the company is preparing to make the underlying code behind that model more accessible, promising to release five open source repos starting next week.
In a social media post late Thursday, DeepSeek said the daily releases it is planning for its Open Source Week would provide visibility into these humble building blocks in our online service [that] have been documented, deployed and battle-tested in production. As part of the open-source community, we believe that every line shared becomes collective momentum that accelerates the journey.
While DeepSeek has been very non-specific about just what kind of code it will be sharing, an accompanying GitHub page for DeepSeek Open Infra promises the coming releases will cover code that moved our tiny moonshot forward and share "our small-but-sincere progress with full transparency." The page also refers back to a 2024 paper detailing DeepSeek's training architecture and software stack.
The move threatens to widen the contrast between DeepSeek and OpenAI, whose market-leading ChatGPT models remain completely proprietary, making their inner workings opaque to outside users and researchers. The open source release could also help provide wider and easier access to DeepSeek even as its mobile app is facing international restrictions over privacy concerns.
More on DeepSeek AI’s plans to release source code on ARS Technica
How To Build The Future: Aravind Srinivas
Y Combinator General Partner David Lieb sits down with Aravind Srinivas, the co-founder and CEO of Perplexity, to discuss his origins in Silicon Valley, what it's like to compete with Google, and what the future of search could look like.
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Together AI's Valuation Soars To $3.3 Billion As Demand For AI Compute Grows
Together AI — an AI cloud platform that enables companies to train and deploy artificial intelligence models — has raised $305 million in Series B funding in a round led by General Catalyst, more than doubling its valuation to $3.3 billion from $1.25 billion last March. The funding comes amid growing demand for computing power to run advanced open-source models.
"We have built a cloud company for this AI-first world — combining state-of-the-art open source models and high performance infrastructure, with frontier research in AI efficiency and scalability," Together AI CEO Vipul Ved Prakash said in the company's announcement.
The San Francisco-based startup has seen explosive growth since its founding in 2022. According to Bloomberg, the company recently surpassed $100 million in annualized revenue, up from $30 million in February 2024. Together AI's funding announcement comes as the company reports increasing infrastructure demands for running advanced AI models. While some had speculated that newer models like DeepSeek-R1 might require less computing power, Together AI says it is seeing the opposite trend, stating that DeepSeek-R1 requires distribution across multiple servers and typically handles longer requests lasting two to three minutes.
Growing Demand
To meet growing demand, Together AI has secured 200 megawatts of power capacity and announced plans to deploy clusters of Nvidia's latest Blackwell GPUs across North America. The company has partnered with Hypertec to build a cluster of 36,000 Nvidia GB200 NVL72 GPUs. As for its real-world performance, Together AI claims that its platform can process DeepSeek-R1 queries at 85 tokens per second compared to Azure's seven tokens per second, though such performance metrics can vary based on specific use cases and configurations. The company states that while new Blackwell chips cost approximately 25% more than previous generations, they deliver double the performance.
Currently serving over 450,000 AI developers and supporting more than 200 open-source models across various modalities — including chat, image, audio, vision, code, and embeddings — the company's notable customers include Salesforce, Zoom, SK Telecom, and The Washington Post.
Power of Proximity: Unleashing Edge AI | Imagination In Action | Davos 2025
As AI scales from the cloud to the very edges of our devices, the potential for transformative innovation grows exponentially. Daniel Newman, CEO The Futurum Group moderates this expert panel which includes: Åsa Tamsons, Executive VP, Ericsson, Gill Pratt, CEO Toyota Research, Chief Scientist Toyota, Kinuko Masaki, CEO, VoiceBrain, Cyril Perducat, CTO, Rockwell Automation, and Alexander Amini, CSO, Liquid AI
In this talk from Davos 2025, industry leaders explore how low-latency connectivity, next-generation networks, and smaller, more efficient AI models are converging to enable everything from real-time language translation and lifesaving public safety systems to autonomous vehicles and industrial autonomy.
Learn why “owning your intelligence” at the edge is central to privacy, resilience, and new business opportunities—and how the power of proximity is redefining our relationship with technology, data, and each other.
Wayne Rasanen’s Award Winning DecaTxt 3 | A One-Handed Keyboard
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Make Generative Artificial Intelligence A Partner In Your Daily Workflow
Friendly tips for using AI tools in your business while avoiding common pitfalls.
While having lunch with a few fellow business owners recently, our conversation turned to the topic on every entrepreneur’s mind—artificial intelligence. It turns out that AI tools have quietly woven themselves into our daily routines, whether we’re brainstorming, researching, or synthesizing data, were also using it in slightly different ways.
Tools like ChatGPT are like Swiss Army Knives for productivity and creativity. It’s no surprise that in the latest McKinsey Global Survey on AI, 65% of organizations reported regularly using AI—the technology is here to stay. That said, leaning too heavily on AI can go awry. If you delegate content creation to ChatGPT, for example, it runs the risk of plagiarizing. The generative AI tool is also a notorious liar. In 2023, one startup found that ChatGPT made things up about 3% of the time. That same year, a Google chatbot’s false claim caused the company’s market value to tumble by around $100 billion.
The key is strategic integration with safeguards in place. If you’re curious about how to integrate AI smartly into your business, here are some friendly tips to get you started while keeping things safe and effective.
Use AI’s strengths—without losing your own
ChatGPT can supercharge your creativity. Wharton professor Christian Terwiesch pitted the large language model (LLM) against humans to determine which group could generate better business ideas. (Spoiler alert: The robots came out victorious.) Commenting on his findings, Terwiesch said that everybody should be using ChatGPT to help them generate ideas—if nothing else, your idea pool will improve. He called it a “no-brainer.” I like to use ChatGPT to get the ball rolling on creative brainstorming. Using simple prompts, you can ask ChatGPT to help you generate ideas and then choose and refine the best ones.
More friendly tips on using AI in your workflow on FastCompany
A Conversation With Bill Gates | Stripe
Stripe cofounder and CEO Patrick Collison sits down with Bill Gates to discuss his memoir, Source Code. Bill Gates is a technologist, business leader, and philanthropist. In 1975, he cofounded Microsoft with his childhood friend Paul Allen and today he is chair of the Gates Foundation.
Bill is the founder of Breakthrough Energy, an effort to commercialize clean energy and other climate-related technologies, and TerraPower, a company investing in developing groundbreaking nuclear technologies.
This conversation was recorded on February 11, 2025 and hosted by the Computer History Museum in Mountain View, California.
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AI Startup Genspark Raises $100 Million To Compete With Google, Source Says
Search startup Genspark has raised $100 million in a series A funding round, valuing the startup at $530 million, according to a source familiar with the matter, as the race to use artificial intelligence to disrupt Google’s stranglehold on the search engine market heats up.
The Palo Alto-based company currently has over 2 million monthly active users, and the round was led by a group of U.S. and Singapore-based investors, the source said.
The company raised a $60 million seed round last June. Its CEO Eric Jing led Baidu's AI-powered smartphone and smart speaker Xiaodu unit. Genspark is one of a number of startups attempting to uproot the search engine market dominated by Alphabet’s Google. AI-generated search results can offer a single answer with citations, a potential user experience improvement compared to Google’s link lists.
Google itself is experimenting with AI search results, while OpenAI’s ChatGPT recently integrated internet search capabilities. Another big player in the AI search space, Perplexity, has raised funds valuing it at $9 billion. According to its blog, Genspark says it has developed a feature capable of using multiple AI models that work together to conduct in-depth research online. OpenAI, Perplexity and You.com have also released similar products.
More on Genspark’s fundraising and growth on SiliconAngle
Masayoshi Son And Richard Attias On The $500 Billion Race For AI's Future | FII
Richard Attias, Chairman of the Executive Committee, FII Institute, Founder & Chairman, RA&A sits down with Masayoshi Son, Representative Director, Corporate Officer, Chairman & CEO, SoftBank Group Corporation in a session entitled: Stargate AI: Who will win the $500 Billion Bet On The Future Of Intelligence.
This insightful session took place at the Faena Forum on DAY 2, February 21, 2025, of the 3rd edition of FII PRIORITY Summit in Miami. The race to build next-generation AI infrastructure has begun, and the Stargate AI project—backed by SoftBank, OpenAI, Oracle, and MGX—aims to invest up to $500 billion to reshape global AI capabilities.
With AI-driven industries projected to contribute over $15.7 trillion to the global economy by 2030, this initiative could determine the next era of technological leadership—but as Stargate scales up, nimbler AI challengers like DeepSeek are moving fast, proving that innovation isn’t always about size. Can this megaproject outpace more agile rivals, or will its massive scope slow it down in an AI race that rewards speed?
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