D.C. Noye

⚙️ New tool alert! ZaKi by Ingonyama is a vertically integrated zero-knowledge hosting service designed to revolutionize how developers deploy zero-knowledge proofs. Join the waitlist and learn more about ZaKi's developer-friendly approach that ensures teams can leverage powerful computational resources without needing deep hardware expertise. ➡ https://lnkd.in/eYhK9PRE Ingonyama - Zero Knowledge Proof Hardware Acceleration

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The harsh reality of CA politics -- the state government works for Big Tech, not the citizens. Some good quotes here. Newsom's stated goal about workable "guardrails" is nonsensical as it's currently physically impossible. That's a bit like saying they are pursuing a way to apply DDT safely to agriculture.... no such method existed. Newsom and CA have zero cred on anything relating to responsible or safe AI. The question is whether that extends to Harris. I honestly don't know, but her history in defending SV and conflicting relationships that include her brother-in-law suggests that it would be difficult for her to regulate Big Tech objectively. Trump is also a wild card. He's so unpredictable that one day he might attempt to order Zuch arrested and the next brag about the power of American Big Tech. The next four years will be interesting. I have much more confidence in SCOTUS.

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The shift from traditional ML to LLMs has pushed infrastructure requirements to new limits. At neptune.ai, we’re tackling these challenges by focusing on: → Scalable infrastructure, built to handle high-speed data ingestion and processing. → Real-time data display, adapting seamlessly to complex and large volumes. → Consistent UX quality, even under intense backend demands. — (link to the full interview in the comments) #generativeai #genai #llm

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Intuit's Michael Crenshaw and Zach Aller "Git" down to business in their talk Space-Age GitOps: The Rise of the Humble Pull Request from last month's #ArgoCon | #KubeCon in Paris. https://lnkd.in/gHRuuaAw This talk will assert three new rules for GitOps to help solve these problems: - Developers should see hydrated diffs as part of their review process. - Manifest hydration should be reproducible. - Environment promotions as well as rollbacks should be handled as automated pull requests. Pull requests give developers a place to review and discuss changes, they provide a place to implement promotion gates, and they exist in an ecosystem which developers already know and love. This talk will present proposals for new Argo CD features which will make these next-generation GitOps practices easy and intuitive to implement in any organization. #Intuit #GitOps #IntuitOpenSource #OpenSourceCommunity #OpenSource #Developers #DeveloperCommunity #Tech #ArgoCD

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💥 We recently announced Temporal Nexus - the feature that connects durable executions across team, namespace, region, and cloud boundaries. Nexus endpoints are API proxies for Nexus services that abstract Temporal primitives like Workflows for seamless integration and collaboration across teams 🤝 
 
Benefits for developers: - Familiar API programming model that supports both sync and async patterns for connecting durable executions using existing queue-based Workers. - Modular architecture that allows teams to independently develop, scale, and maintain parts of an application with clear API contracts backed by robust Nexus machinery. - Enhanced security, troubleshooting, and fault isolation that reduces the risk of misbehaving workers, since each team can run their workflows in separate namespaces. Use the Temporal SDK to add Nexus services to your existing workers with clean API contracts for others to use. Read more: http://temporal.io/nexus

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Benjamin Bolte from K-Scale Labs just posted his 'Robotics Predictions for 2025' containing some hot takes 🦾🔥 By the end of 2025.... 1. Humanoid hardware is commoditized - Hardware components will converge, but robot designs will remain different - Actuators no longer differentiators; industry moves towards open-source like MIT Cheetah - BOM for a humanoid will come down to a shocking <$8k! Question: What happens to incumbents like Telsa, Figure, 1X, Apptronik, etc., who have spent billions of $ in R&D to create robots with a $50 - $150k BOM? 2. No ChatGPT moment for robotics - A LOT of data (millions of hours) is needed to train a general-purpose robotics model - Language + multi-modal models will not be able to control a robot sufficiently - Progress will be incremental rather than spiky Question: If building a robot for a domain and bootstrapping to generality is a losing strategy, what's a better one? 3. More than half of humanoids will be sold to consumers - The 'killer apps' will be speech and vision - Traditional SLAs for business customers will force robotics teams away from building good generalist models - "Robotics companies will start looking more like SV tech companies, caring about user engagement and retention." Question: What are the 'killer' consumer use cases that will drive this adoption? What are the jobs to be done? Link to the full blog in the comments. What are your thoughts?

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SaaS Daily Funding News $330m+ invested into the software industry. Details 👇 Cohesity - Series F - $150m - offers hyperconverged secondary storage for backups, test/dev, file services, and analytics use cases. NightVision - Seed Round - $5.4m - Web & API security testing company Dot Compliance - Series B - $17.5m - delivers the industry's first ready to use cloud-based quality and compliance management solution for regulated industries. HumanX - Seed Round - $6.m - focuses on AI serves as a catalyst for enterprises. PineGap.ai - Seed Round - $2.5m - an AI-powered equity research platform for Wall Street Qureight - Series A - $8.4m - an imaging analytics company. Ecotrak Facility Management Software - Series Unknown - $30.m - offers a mobile-first, web-based asset management SaaS platform to manage its facilities online. Clientell - Seed Round - $2.5m - offers no-code machine learning platform to analyze consumer data and predict behaviour Lawhive - Seed Round - $11.8m - on a mission to make legal help accessible to everyone. Apify - Series Unknown - $2.9m - a web scraping and browser automation platform that can turn any website into an API. Bridgewise - Series A - $21.m - aims to become the industry standard for equity research by applying advanced AI My Emissions - Seed Round - $1.6m - platform for food companies to accurately measure and reduce carbon emissions. Official carbon labelling partner of Just Eat. ClickPost - Series A - $6.m - a logistics intelligence platform that helps companies use data science to improve supply chain performance. Cozero - Series A - $6.9m - empowers companies to decarbonize and boost their business performance. GridBeyond - Series C - $55.3m - wireless energy management and control systems for retail, commercial and industrial users. Take2 AI - Seed Round - $3.m - AI-Powered job simulation platform for sales recruiting. #saas #software #startups #venturecapital #technology #startup

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There's now no shortage of options for open source model hosting providers. i.e., take your pick for Llama 3 (Groq, Together AI, Telnyx, etc.). Am I wrong in thinking the only real difference now between them is speed, cost and readability? If so, this space just became commoditized quickly and reminds me of the telco provider wars where its a race to the bottom on price. Which means the cost of running AI applications is approaching something close to zero... 🤯 #ai #cx

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CEO Spotlight: Lukas Gentele, CEO, Loft Labs: Creators of vCluster. $24million Series-A, April, 2024. ** Multitenancy in Kubernetes with vClusters ** * Why VCs are So Excited About vCluster? (13:03) (Remaining Time) * How vCluster Different from All Cloud Mgmt Tools? (11:56) * Why are vClusters More Secure? (10:06) * Why do vClusters = K8s Uptime and Resiliency? (9:24) * How big is the Future Demand for vClusters? (8:42) * How does vCluster make K8s Easier for Developers? (6:37) * New Partnerships? Rancher, Coreweave, Vault, TF, etc. (4:59) * What is the Ideal Customer Profile for vCluster? (3:40) * Preferred Method for People to Learn More? Slack. (1:04) #kubernetes #vcluster #loftlabs

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🚀 Get ready for another Tech Deep Dive! Come learn how to integrate Apache Kafka with RisingWave from Emily L. on August 22! 💻✨ Emily will showcase how RisingWave handles data streams with Kafka topics, finishing with a live demo. 🎫 Don’t miss out—grab your spot here: https://lnkd.in/g6NJF3EP #risingwave #kafka #apachekafka #dataprocessing #streamprocessing

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AI that can use computers like humans? Anthropic just made it a reality. Anthropic's latest announcement is reshaping the AI landscape: 1. Upgraded Claude 3.5 Sonnet with industry-leading software engineering skills 2. New Claude 3.5 Haiku model matching top-tier performance at lower cost and speed 3. Groundbreaking "computer use" capability allowing AI to navigate interfaces like humans 4. Significant improvements in coding, with Claude 3.5 Sonnet outperforming all publicly available models on SWE-bench Verified 5. Early adoption by tech giants for automating complex, multi-step processes This leap forward in AI capabilities opens up exciting possibilities for automation, software development, and open-ended research tasks. However, it also raises important questions about responsible deployment and potential risks. What are your thoughts on the implications of AI systems that can use computers like humans? How might this change the future of work and technology? #ArtificialIntelligence #TechInnovation #FutureOfWork #AIEthics #SoftwareEngineering Share your insights in the comments!

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🚨 Is California’s AI Regulation Going Too Far? SB 1047 is making waves across Silicon Valley, and the entire tech world is paying attention. While it's clear we need safety regulations to keep AI from causing harm, is this bill overdoing it? 🤔 The big tech companies are raising alarms about the potential for increased legal liabilities ⚖️ and how these regulations could stifle innovation 🛑. They’re concerned that heavy-handed rules will slow down progress and put the U.S. behind in the global AI race. And it’s not just the tech giants feeling the squeeze—smaller startups are also on edge. For them, vague testing standards are like an added weight that could make it harder to innovate and compete. 🚀 Of course, there’s the other side. AI safety is no joke. I’m all for responsible AI, but regulations like SB 1047 seem like a step too far. Are we at risk of over-regulating AI in a way that might protect us now but choke creativity and progress in the future? What do you think? Should we push for more balanced regulation that keeps AI development alive and well while still protecting people? Drop your thoughts in the comments!👇 #AI #Innovation #SB1047 #TechRegulation #SiliconValley #AIsafety #AIregulation #CaliforniaAI #ResponsibleAI #AIethics #TechInnovation #AIoversight #AIrisk

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💡 Introducing Amity Document Search Optimizer: a groundbreaking solution to significantly improve document search accuracy in RAG workflows. 📊 Tested against complex, unclean Thai language documents, our optimizer achieved an impressive 84.44% accuracy in a worst-case scenario, with potential for 90%+ accuracy in actual deployments. 🎯 Key features: 1. Advanced Query Understanding 2. Dynamic Document Chunk Retrieval 3. Trainable with Adaptable Architecture 🚀 Embrace the future of generative AI with Amity Solutions and unlock the full potential of your RAG system. #AmityDocumentSearchOptimizer #GenerativeAI #RAGWorkflows #AccurateResponses #InnovativeSolutions​​​​​​​​​​​​​​​​ #GenerativeAI #rag #llm #cognitivesearch #vertexai

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Copia just published its report: The State of Industrial DevOps 2024 It is the first survey of its kind on the application of IT DevOps principles and practices to the industrial sector and is full of manufacturing and distribution peer benchmark data from 200 US-based respondents. https://lnkd.in/gFgZax_K

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Is perception reality? Very interesting article that references Yann LeCun's perspective that large language models are so good at predicting the next word, they fool us into perceiving the outputs as reasoning - when its actually just regurgitating information they were trained on. Worth a read. https://lnkd.in/eAwAWii2

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💪 How we made PostgreSQL faster than Pinecone With all the excitement around pgvectorscale this week, we’ve received many good questions from developers curious about how pgvectorscale speeds up PostgreSQL beyond standalone vector databases like Pinecone. Matvey Arye wrote this technical deep-dive blog post, which covers the nitty gritty behind the innovations in pgvectorscale. You’ll learn about how we developed and implemented: 1️⃣ StreamingDiskANN: To store indexes on SSDs for cost efficiency. 2️⃣ Streaming Post-Filtering: To increase retrieval accuracy for filtered search. 3️⃣ Statistical Binary Quantization (SBQ): A new quantization algorithm for better accuracy and performance. 📊 These improvements all build on pgvector to unlock large-scale, high-performance AI use cases on PostgreSQL. Head over to the post for all the details and comment any questions you have below: https://lnkd.in/gA9x4dm2

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