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This is very likely to be provable.... Just look at the top trillion dollar companies and the families that own most of the shares of them. Then add in all the AI startups that have been funded and the staff that they are acquiring.. some of which are getting million dollar pay packets. and tossing every robotics company and every space company... AI eats the world and makes wealth growth occur. Nvidia stock will likely go up either 30% or 300% in the next 10 years unless there's more competition. #iaprediction #ai

Today's topics: -Internet Evolution and Social Media Algorithms -Twitch Staff Layoffs and Profitability Issues -GitHub Repository 'serversideup/spin' for Local Environment Replication -Amazon's Matter Casting as AirPlay Alternative -Rabbit R1 AI-Powered Universal Controller -Portkey-AI/gateway for Language Model API Routing -AI Techniques for Game NPCs in 'linkdd/aitoolkit' -Academic Shift and Decline of the 'Weird Nerd' -Google and Samsung File-Sharing Collaboration -AI-Discovered Battery Material by Microsoft and PNNL -Just-in-Time Compiler for Python 3.13 -Nvidia's G-Sync Pulsar Technology for Monitors -Human Interaction in the Age of AI -Ibogaine Study for PTSD and Depression in Veterans #tech #news

VMware by Broadcom... Three words to strike fear into the hearts and minds of IT professionals and accountants everywhere! 😱 Christian Mohn takes us through, the changes to VMwares portfolio, the new licensing model and how it impacts VMware's customers. It's interesting to see both the Bad👎 bits AND the Good 👍 bits! Christian Mohn, Christian Lehrer and I discuss the challenges. It's not the same with the new changes - but it's not all doom and gloom either. 😀 Could this be an opportunity? 🤔 https://lnkd.in/eYHZHUX3 https://lnkd.in/eWzQAdig

The correct answer is that this screenshot is from the Macintosh computer's reveal in 1984! Steve Jobs unveiled the computer in front of 3,000 people to an astounding reaction. Why? Because it was one of the first computers to bring graphical computing to the masses, soon after the Apple Lisa. If you would like to see the unveiling for yourself and relive this event, here's the link! https://lnkd.in/gDcgwdy

Many aspiring professionals and curious onlookers find themselves both intrigued and intimidated by the perceived realities of tech careers. To provide a clearer perspective, let’s delve into four prevalent myths about working in tech and uncover the truths behind them.

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Join LaunchDarkly CEO, Dan Rogers, in conversation w/Redmonk Co-founder, James Governor, as they discuss the current state of software engineering & how the future is looking brighter than ever w/upcoming announcements at LaunchDarkly's Launch Week. 💡

The most robust, reliable, and productive uses of AI are when many models are used in coordination with each other, with "regular" programming mixed in. This leads to more capable, more reliable, and more interpretable AI systems. Most people building with AI already know this. But (unless you work for Google) the main barrier to realizing multi-step AI workloads is an infrastructure one. For the rest of us, we’re left creating an unwieldy mess of chained API calls to multiple providers, with many roundtrips in between. This state of affairs is stifling progress. Nobody wants to deal with more tooling and infrastructure… but everyone would benefit from simple, intuitive interfaces that abstract away a powerful system underneath. Substrate is the first inference API optimized for multi-step AI workloads. With Substrate, you can write less code, run more inference, and build high performance AI applications with zero infrastructure to manage. No tooling, no infrastructure – just elegant abstractions. Excited to support Ben Guo, Rob Cheung and the amazing Substrate team on their mission to democratize how AI applications are built.

The best part of investing at the earliest stages of company building is every once in a while you meet founders who can see the future. Ben Guo & Rob Cheung are two of those founders and after a year of building in stealth they're launching ꩜Substrate, the first inference API optimized for multi-step AI workloads. 👉 https://substrate.run With ꩜Substrate, you connect nodes from a curated library that includes optimized ML models, built-in file and vector storage, a code interpreter, and logical control flow. By simply connecting nodes, you describe a graph workflow, which Substrate then analyzes and runs as fast as possible. Entire graphs of many nodes will often run on a single machine, with microsecond communication between tasks. We are thrilled to participate in their 💵 $8M Seed led by Lightspeed (Guru Chahal/Nnamdi Iregbulem) alongside our friends at South Park Commons (Arian Agrawal), Craft Ventures, Red Swan Ventures (Eric Rubin/Sandy Cass), joined by amazing 🧠 founders and 👨🏭 operators like Guillermo Rauch, Immad Akhund, William Gaybrick, Chris Best, Gokul Rajaram, Shreyas Doshi, Jana Messerschmidt, Michael Manapat, and Matthew Hartman.

Today, we’re launching Substrate. We’re also announcing our $8M Series Seed led by Lightspeed. We believe the most robust, reliable, and productive uses of AI are when many models are used in coordination with each other, with regular programming mixed in. Most people building with AI already know this. But the available tools are suboptimal, unless you work for Google. For the rest of us, we’re left creating an unwieldy mess of chained API calls to multiple providers, with many roundtrips in between. We took a hard look at this state of affairs, and recognized how much it is stifling progress. Building large multi-step AI workloads requires sophisticated high-performance tooling and infrastructure. Nobody wants to deal with more tooling and infrastructure… but everyone would benefit from simple, intuitive interfaces that abstract away a powerful system underneath. No tooling, no infrastructure – just elegant abstractions.