Vlad Getselevich

Meet AGUVIS: A pure vision-based framework for autonomous Computer/Mobile-use GUI agents, operating seamlessly across web, desktop, and mobile platforms without UI code. Key Features & Contributions - Pure Vision Framework: First fully autonomous pure vision GUI agent capable of performing tasks independently without relying on closed-source models - Cross-Platform Unification: Unified action space and plugin system that works consistently across different GUI environments - Comprehensive Dataset: Large-scale dataset of GUI agent trajectories with multimodal grounding and reasoning - Two-Stage Training: Novel training pipeline focusing on GUI grounding followed by planning and reasoning - Inner Monologue: Explicit planning and reasoning capabilities integrated into the model training - Generalization to OOD (Out-of-Distribution): AGUVIS demonstrates impressive generalization on OSWorld benchmark even without desktop trajectory data during training. Project Page: https://lnkd.in/guzkwpbB Paper: https://lnkd.in/gs7wXyJS GitHub: https://lnkd.in/gWeSkFmK Collaboratiion among Yiheng Xu Zekun Wang Junli Wang Dunjie Lu Tianbao Xie Amrita Saha Doyen Sahoo Tao Yu Caiming Xiong

155

6 Comments

NVIDIA Acquires Run AI: Impact on #AI Industry: NVIDIA's Bold Move: What the Acquisition of Run AI Means for the #AILandscape NVIDIA has officially closed the deal on its acquisition of Israeli software #startup Run AI, and let me tell you, this is a game-changer in the world of artificial intelligence. As the chief editor at Mindburst.ai, I’m thrilled to dive into the implications of this acquisition, especi... https://lnkd.in/gbXFsJB4

4

NVIDIA Acquires Run AI: Impact on #AI Industry: NVIDIA's Bold Move: What the Acquisition of Run AI Means for the AI Landscape NVIDIA has officially closed the deal on its acquisition of Israeli software startup #RunAI, and let me tell you, this is a game-changer in the world of artificial intelligence. As the chief editor at Mindburst.ai, I’m thrilled to dive into the implications of this acquisition, especi... https://lnkd.in/gbXFsJB4

1

1 Comment

This is simply incredible. Sambanova just launched a cloud inference platform allowing developers access to this blazing fast AI platform that has the best inference speeds on Llama models in the market. What is unique here is that all models are run with 16 bit precision as well as being extremely cost efficient. Start developing #FastAI ➡ http://cloud.sambanova.ai

47

BadRAM in 3 Simple Steps: 1. Compromise the memory module BadRAM makes the memory module intentionally lie about its size, tricking the CPU into accessing nonexistent "ghost" addresses that are silently mapped to existing memory regions. 2. Find aliases Two CPU addresses now map to the same DRAM location. Our practical tools find these aliases in minutes. 3. Bypass CPU Access Control Through these aliases, attackers can bypass CPU memory protections, exposing sensitive data or causing disruptions. https://badram.eu/

11

For the last two months, Ibrahim Abdalkader and I have been refactoring our TensorFlow support on the OpenMV Cam. We're super happy to finally release the new API which adds support for running multi-input and multi-output networks on the OpenMV Cam along with enabling pre/post-processing of Model input/output using NumPy. https://lnkd.in/eH4vCp-f It took some courage to think this is the way forward for ML processing on Microcontrollers on the Edge. We embraced a lot of desktop-like ideas on systems with limited RAM and compute. However, this is the right way to go as we were able to achieve performance targets, RAM efficiency, and make it much easier to run any Model you want (within system limits) simultaneously.

53

1 Comment

Effortless Integration for Smarter Insights: CloudEagle.ai Meets Bitbucket Integrating CloudEagle.ai with Bitbucket takes just minutes and gives you: ✔ Simplified App Tracking: No more manual reports, get the app usage data you need, when you need it. ✔ Centralized Control: Manage your Bitbucket security from the CloudEagle dashboard. ✔ Proactive Monitoring: Catch unusual login activity before it becomes a problem. Ready for a smarter, more secure development workflow? Book a demo today - https://lnkd.in/gXAhChrt #saas #saasmanagement #toolstuesday Atlassian #jira #toolstuesday

5

See a recent interview by Jensen Huang https://lnkd.in/dAcNVRiB from timestamp 15.32 to 19:02 where he talks about 55% of the NVIDIA datacenter capacity being outside of the hyperscalers (much higher than I would have imagined) and the emergence of sovereign AI clouds. While the CPU-as-a-Service space had just a few hyperscalers, the GPU-as-a-Service space promises to have 100s of providers because of the sovereign AI cloud requirement. Jensen mentions India as one of the countries. See my recent blog on the need for dynamic cloud management software for those applying for the India AI Cloud RFE https://lnkd.in/dVE9Rv_T. Finally, if you are part of the above 55% and need a GPU Cloud Management Software layer, pls. check out our demo https://lnkd.in/dNTRuctz. Subramanian Sankaranarayanan Chirayu Wadke Sriram Rupanagunta Milind Jalwadi Raghuram KG ⎈

42

3 Comments

And with lowest power - uses only 16 RDU chips to achieve this performance!

58

1 Comment

NVIDIA has introduced something amazing—Project DIGITS, which could bring supercomputers into our homes. This means we might soon be able to use powerful AI tools, do advanced research, or create incredible things right from our own desks. It makes you wonder: what’s next? Could we soon see AI in every device we use, making our daily lives even easier and more connected? The possibilities are exciting, and the future looks full of opportunities.

4

The age of optimization. We are in an interesting position in the AI space. The success of Nvidia has come at the expense of practical implementation. Nvidia has done an excellent job of tightly coupling compute and memory into a tiered pricing package. Want more compute? More memory comes along with it. For various technical and business reasons memory on Nvidia GPUs is not user upgradable. The side effect of this is companies are quietly or not so quietly building their own AI chips. With the hope of one day not relying on Nvidia. We are going to enter an AI winter if the cost of AI implementation does not make the use cases scalable. One of the contributing factors is the shortage of interdisciplinary data science and software development teams, these different skill sets can work in silos and have different often competing priorities. I can foresee some enterprising startups like Groc and others that don't necessarily need to be hardware focused, but rather focused on driving down costs and improving efficiency start to make an impact and serve as a stop gap measure until better hardware is available. I think hardware and bloated software in the machine learning/deep learning space are two of the biggest problems facing the industry.

2

1 Comment

🌟 Exploring the Intersection of Business and Technology re AI! 🌟 Before my decade-long focus on AI, connecting technology and business in various domains has always been my passion; This is why I enjoyed this conversation with David Luan - No BS, No Twitter exaggerations, No clickbate - Just a super well informed, super smart David sharing his insights from years of hands-on experience: #Startegy, #Software, #Hardware, #Platforms, #ModelSpace and everything in between - LMK what you think of his projections. In This Episode: 1. The Biggest Lessons from OpenAI and Google Brain: What did OpenAI realize that no one else did that allowed them to steal the show with ChatGPT? Why did it take 6 years after the introduction of transformers for ChatGPT to be released? What are 1-2 of David’s biggest lessons from his time leading teams at OpenAI and Google Brain? 2. Foundation Models: The Hard Truths: Why does David strongly disagree that the performance of foundation models is at a stage of diminishing returns? Why does David believe there will only be 5-7 foundation model providers? What will separate those who win vs those who do not? Does David believe we are seeing the commoditization of foundation models? How and when will we solve core problems of both reasoning and memory for foundation models? 3. Bunding vs Unbundling: Why Chips Are Coming for Models: Why does David believe that Jensen and Nvidia have to move into the model layer to sustain their competitive advantage? Why does David believe that the largest model providers have to make their own chips to make their business model sustainable? What does David believe is the future of the chip and infrastructure layer? 4. The Application Layer: Why Everyone Will Have an Agent: What is the difference between traditional RPA vs agents? Why are agents a 1,000x larger business than RPA? In a world where everyone has an agent, what does the future of work look like? Why does David disagree with the notion of “selling the work” and not the tool? What is the business model for the next generation of application-layer AI companies? https://lnkd.in/dUpWWzvN

4

Interesting panel discussion at Google and Reichman Tech School about #ai and how to enter the field. Barr Morgenstein Michael(Mike) Erlihson Dr. Barak Or Hila Noga Evgeny Artyomov #deeplearning #artificialintelligence #machinelearning #llm #generativeai #genai

64

3 Comments

Good listen: Mark Suster, the guest host, is joined by Dan Senor to discuss the remarkable growth of NVIDIA in #Israel, which now boasts over 4,000 employees and a global CTO who is Israeli. The conversation shifts to Israel’s startup ecosystem, highlighting its impressive statistics: 500 venture capital firms, 120 accelerators, 35 incubators, 400 multinationals with major R&D operations, and 7,000 startups. These figures underscore Israel’s position as having the highest density of startups globally, attracting significant global venture capital, leading in R&D spending relative to GDP, and ranking fourth in NASDAQ-listed public companies. Regardless - I'll recommend following This Week in Startups podcasts which brings interesting conversations with leaders from the startup community... https://lnkd.in/eGv3fr-H #iwork4dell

7

1 Comment

One of the best things about being in San Francisco 🌉 is the ability to drop in on great talks. Last week I had a chance to see NVIDIA's CEO Jensen Huang (JH) being interviewed by Stripe's CEO Patrick Collison. Jensen is among the longest-serving founder-CEOs in Silicon Valley at the moment (30+ years). With that comes a special clarity of mind and some hot takes. 🌶👇 🗣 Jensen doesn't believe in 'praise in public and criticism in private'. Instead, he reasons that most information in the organization should not be privy to certain people. By giving feedback in public, you allow everyone to learn. 'What is better than learning from your own mistakes? It's learning from someone else's mistakes!!' 🔥 JH also doesn't like to fire people. He would rather "torture them into greatness". He invests in people and he doesn't like to write off his investments. 👨‍💻 Asked whether he likes his job every day, he answers "no". The perfect job doesn't give you happiness 100% of the time. "No great things were done, that were easy all the way." ... "Even if I come home from a day where I did things I didn't enjoy, it could still be have been a great day." 👩‍👧‍👦 Jensen famously has 60 direct reports. "This allowed us to cut out probably 7 levels of management". His subordinates don't necessarily have such large teams. "It doesn't scale down, less senior people need more guidance". Looking at the numbers, this approach allowed NVidia to reach ~2T market cap with ~28.000 people vs. Microsoft's 3T with ~220.000 people and Apple's 2.6T with 160.000 people. ❔ Jensen answers almost every question in the same way: "Let's break it down, let's reason about it". This is a great response on so many levels. First, it allows him to not be put on the spot. Second, it allows him to teach his workforce how he reasons through a problem so that they can emulate it and create alignment. Third, it gives people a chance to point out flaws in his reasoning. He admits he is not right all the time. ON AI 👨‍🔧 "You will not lose your job to AI, your company will go out of business because another company used AI." "If you're not using AI you're doing it wrong." ⏱ The extent to which AI will enter many processes is largely underestimated. Right now we are focused on language - sounds in a time sequence. "Any time sequence can be tokenized." This will include robotic movement. 🥛 JH also expects that we won't be satisfied with foundation models "You're going to want to tune it into perfection because you care so deeply. Say if it's already at 99% you'll want to get it to say 99.3%" This last piece is also why we created Query Vary (YC W22). AI will never feel truly intelligent until it completely understands your data and context. It needs to be taught, regardless of how powerful the foundation model is. Finally, besides insights, it was remarkable how funny Jensen was, cracking a joke at roughly a 1 per 3 min rate. It was a very entertaining talk. #ai #sf

61

8 Comments

NVIDIA Acquires #RunAI: Impact on #AI Industry: NVIDIA's Bold Move: What the Acquisition of Run AI Means for the AI Landscape NVIDIA has officially closed the deal on its acquisition of Israeli software startup Run AI, and let me tell you, this is a game-changer in the world of #artificialintelligence. As the chief editor at Mindburst.ai, I’m thrilled to dive into the implications of this acquisition, especi... https://lnkd.in/gbXFsJB4

5

1 Comment

Excited to share my recent interview on "הכל כלכלה" discussing Nvidia's acquisition of Run:ai, an Israeli software company, for a whopping $700 million! This move, along with potential future acquisitions, demonstrates Nvidia's strong belief in Israeli AI innovation. Run:AI's software expertise will enhance Nvidia's hardware offerings, making AI more accessible and efficient. As the global AI race intensifies, Israel's talent and technology are crucial. With strategic partnerships and continued investment, we can ensure Israel remains a leader in shaping the future of AI.

28

2 Comments