John Furrier

Sweetndata, a South Korean AI-based fandom content startup, secured CNTTech funding to enhance AI fan cards, advance global expansion, and broaden its platform to diverse markets.

1

With $41.2M raised, Hyper Accel aims to lead the global LLM AI semiconductor market, enhancing data center efficiency and reducing costs.

2

July 29 2024 – 5 Notable Articles To Read Article: NVIDIA Partner SMC Raising $950M to Tap AI Server Boom Takeaway: SMC - Sustainable Metal Cloud provides data center capacity to clients, offering them access to Nvidia AI chips and advanced cooling technology. Source: Bloomberg Link: https://lnkd.in/dFXr43uT Article: OpenAI Is Launching Search Engine, Taking Direct Aim at Google Takeaway: Developed with input from publishers, SearchGPT will provide real-time summaries of website information. Source: The Wall Street Journal Link: https://lnkd.in/dSDj5fpA Article: Royal Caribbean Group Raises Its Outlook. Cruise Demand Is Strong. Takeaway: “Exceptional demand for our vacation experiences has accelerated our performance by generating significant yield growth over the past several years,” Chief Executive Jason Liberty said in the earnings release. Source: Barron's Link: https://lnkd.in/dpznkWbS Article: Alibaba Group-backed Baichuan raises $691M as China seeks to catch up on generative AI Takeaway: The business is valued at 20B yuan with the funding round included existing backer Alibaba, along with internet giant Tencent and smartphone maker Xiaomi Technology. Source: PitchBook Link: https://lnkd.in/dmWTKFan Article: J.P. Morgan pitches in-house chatbot as AI-based research analyst Takeaway: Approximately 50,000 employees are using a large language model developed by the bank to enhance productivity. Source: Financial Times Link: https://lnkd.in/dx6Z2sU4 #news #ai #research #business

5

Introducing Claude 3.5 Sonnet: Revolutionizing AI with Speed and Precision Claude 3.5 Sonnet represents a significant leap in AI, offering advancements in speed, precision, and capabilities such as humor understanding and handwriting recognition. Its introduction could accelerate AI development and application across various fields. #claude #ai #sonnet

Infrastructure advancements are facilitating a new era of DataOps, enhancing data management and changing how we see / use AI applications. Have a look at our latest thinking on the AI infra layer!

9

1 Comment

Anthropic has open sourced their Model Context Protocol to enable developers to build secure, two-way connections between their data sources and AI-powered tools. #AI #LLM

13

Intersection of AI and humanoid robotics presents one of the biggest opportunities for societal scale impact Perception, Sensors, and LLMs are merging. Looking out for break out ventures working at this intersection. ! #EmbodiedAI https://lnkd.in/emK-nVNx

18

5 Comments

Google Cloud and Anthropic made some exciting announcements: 📣 Claude 3 Opus, Anthropic’s most intelligent model, is now generally available on Vertex AI ⚙️ Tool use is available for the Claude 3 model family on Vertex AI, enabling Claude to act as an autonomous agent 📈Provisioned throughput is available for the Claude 3 model family on Vertex AI

19

For day two of OpenAI’s “12 days of OpenAI” event, the company showed a preview of “reinforcement fine tuning” that will let users customize its models for specialized uses such as legal, financial, engineering, and insurance applications. https://lnkd.in/e6vqx7b5

3

In my time spent speaking with our customers, I’ve noticed the conversations around AI begin to shift. While the race to use AI to improve customer experience is definitely ON, AI applications are costly and plagued by performance issues. I have seen an incredible amount of demand from customers for a way to speed up time to ROI and optimize performance. That’s why our new integration with NVIDIA NIM will be so powerful for our customers. Now, they can leverage the power of New Relic’s observability platform to AI monitor applications built with NVIDIA NIM. This helps them gain a comprehensive view of their AI stack, along with key metrics on throughput, latency, and costs while ensuring data privacy.  This is only the beginning. Learn more via our blog post: https://lnkd.in/giPUDMNB

30

The Token Wars of the chip startups. Why the fight for the fastest inference will influence the future of AI. „Today, Cerebras, SambaNova, and Groq are all delivering over 1,000 tokens per second, and the “token wars” have revved up considerably. At the end of August, Cerebras claimed it had launched the “world’s fastest AI inference” at 1,800 tokens per second, and last week Cerebras said it had beaten that record and become the “first hardware of any kind” to exceed 2,000 tokens per second on one of Meta’s Llama models. “ „AI models are quickly being used to power far more complex applications than just chat.“ Cerebras CEO Andrew Feldman simplifies why: „Nobody’s going to build a business on an application that makes you sit around and wait“. A piece by Sharon Goldman at Fortune. https://lnkd.in/eMs7Pxux

1

🧩 One thing we've noticed with #VentureIQ technology is how well it can distill and communicate complex technical material 🧩 Whether it's a #deeptech venture, a novel #AI application, or even a patent submission, we can quickly distill the business and strategic implications for investors...and sometimes even the founders/PIs themselves! 🤯 Based on our work so far, the tech can handle a wide array of research areas and technological sectors -- anything from blockchain algorithms to vaccine development. It handles the nuance of the field, the specific terminology, and extracts the key concepts which matter for venture-building. 🤓 To demonstrate, I took a patent I helped write with Eric Laber on reinforcement learning. I ran it through #Ventureiq to build a commercial assessment (key differentiators, target markets). Then for fun I had #NotebookLM make a podcast out of it. I've uploaded the result it here (DM me if you'd like the actual report): https://lnkd.in/eiTejsny This is more than just automation or streamlining operations - it's about unlocking clarity and insight when it was previously unattainable, and the ability to do it over and over again no matter the sector or vertical. Interested in more info? DM me so we can chat.

11

2 Comments

Exclusive Virtual Panel Alert! Join senior IT leaders and ArangoDB CEO Shekhar Iyer as they share insider insights on selecting the right GraphDB for GenAI and Graph Machine Learning applications. 💡 Hear from decision-makers about: ✔️ Why NVIDIA and other market leaders chose ArangoDB. ✔️ How GraphRAG is revolutionizing data handling. ✔️ Tackling massive datasets with ease. 👉 Don’t miss this chance to learn how GenAI is transforming businesses. Register now: https://okt.to/LFxnIT #ArangoDB #GraphMachineLearning #GenAI #GraphRAG #GraphDB #GenAI #ArangoDB #MachineLearning #AI #DataManagement #GraphDatabases #DataScience

8

NVIDIA stock increased 338,850% since IPO and is now the world's largest company by mkt cap ($3.35T). It wasn’t easy. Jensen Huang shares the most important thing when building a company: "...The company building process is mechanical. It's interesting. Lots of trial and error. It's organic. People matter. Personalities matter. ...And then I would say probably the most important thing is to realize that when you're building a company and a product, skill matters. Intellect matters. Training matters. But it's not enough. The part of it that is important to realize about building companies is that it's a challenging and painful and oftentimes extraordinarily scary thing to do. And so unless you have passion, unless you really love the process of building the company and what you're trying to do, it's going to be incredibly, incredibly challenging."

23

4 Comments

Increasing recognition of the importance of having reliable trustworthy Generative AI with the Infactory investment. We've majored on this premise with our Azthena AI on AZoScience.com. Trained on 20+ years of AZoNetwork content edited and checked by humans. #AI #MarketingScience https://lnkd.in/ga-wjSRH

9

Day 13: Case Study: The Analog Ecosystem Powering Dynamic Neural Networks Imagine a supply chain that organizes itself, aligned to shared goals in real-time. That’s what we accomplished in the Australian fresh produce industry—a system once weighed down by inefficiencies, waste, and unpredictability. It was fragmented, reactive, and out of sync. The challenge was clear: How do we fix it? The solution wasn’t just to tweak the system, but to reimagine it completely. We stopped thinking of it as a traditional supply chain and envisioned it as a living ecosystem. An analog ecosystem powered by collaboration. We introduced ‘One Touch,’ a simple yet revolutionary system that connected growers, manufacturers, wholesalers, and retailers in real-time. They could see exactly what was happening in the supply chain, at every moment. Inventory, demand, availability—all dynamically adjusting, like neurons responding to live data. The impact? Over a billion dollars saved. Waste slashed. Inventory moved faster. What was once a broken system is now self-organizing, adapting, and thriving. This is the power of thinking differently. When you create an ecosystem that evolves with the world, it transforms how we live, work, and trade. Now, we’ve taken that analog ecosystem and digitally twinned it with a Dynamic Neural Network. And this is just the beginning of what’s possible. #SupplyChain #Sustainability #Innovation #ai #machine #NeuralNetworks #BalancedEcosystemScorecard

2

Gemini 2.0's Multimodal Live API powered by Daily's pipecat OSS library launched today with a suite of AI features for realtime voice+video. Check it out...

13

3 Comments

"Our goal is to create operating leverage through AI. ... One of the ways I look at it is, our total people costs will go down, our cost per head will go up, and my GPU per researcher will go up." — Satya Nadella. I finished listening to the BG2 podcast with the Microsoft CEO last night. Extremely interesting conversation with Brad Gerstner and Bill Gurley, and a lot to chew on. I found myself skipping back repeatedly to listen to certain parts again, to make sure I understood exactly what Satya was saying. One example was the quote above, in the context of the long-term implications of AI for the workforce, specifically at Microsoft in this case. I'd be very interested in hearing what everyone thinks of this. Here's that specific portion of the show: https://lnkd.in/gcPjHpeg Here's the full podcast: https://lnkd.in/gHAquZpD

11

1 Comment

We're launching the inaugural edition of Beyond Benchmarks, a deep dive into the metrics and trends observed across the early-stage enterprise cloud market. This is the first look at some of the business data around GenAI in SaaS. Some initial observations: 1) 60% of SaaS companies have already integrated GenAI into their offerings (60% of these as part of their current product and 40% as a new product), and an additional 20% are planning to do so this year. Almost half aren't monetizing these features. Those that are are primarily experimenting with both usage-based and flat fee pricing models. 2) Most companies are utilizing OpenAI as their primary LLM, but many are experimenting with multiple models - and we are noticing an early trend towards intelligently routing GenAI inference requests to different models based on cost, performance, and security. 3) Though we are in the initial innings of GenAI, we are seeing some positive signals - companies that implemented GenAI had 7% higher NDR than those that did not. Still early days, but we'll be doing this benchmarking report regularly to track and share how things progress in this new era. Link to report in comments.

104

6 Comments