AI is not a one-sizefits-all solution, but what if we come up with a technique that makes models more efficient at thinking or a data set mix that that saves you time at training. The world's uh most important and valuable data always has the most sensitivity about it. How does the rest of the world receive the benefits of that.Customizable AI that can be integrated deeply and tightly uh into the beating heart of every business around the world. ...

Competitive Landscape - To compete with Solana, combining hundreds of offchain rollups with different state and liquidity is necessary [1] - Solana is the leading destination for new developers, year-over-year [1] - Ethereum has a very good open source culture, which Solana needs to improve [1] Developer Activity & Ecosystem - Ethereum is the number one ecosystem for new developers in 2025 [1] - The report questions the comparison of ICP's developer activity to Hyperliquid's [1]

Market Trend - China is expected to launch a blitz of open-source AI models across various fields, including computer vision, robotics, and image generation [1] - The trend suggests a potential overproduction of AI models from China [1] Strategic Inference - The analysis infers that China aims to commoditize its complements in the AI sector [1]

RT Apotheosis (@0xApotheosis)And we open source every line of code we write. Full transparency. ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):This should be impossible!You can clean any ML dataset in just three lines of code. Flag outliers, find label errors, and more, across:- Any data (tabular, text, image, etc.)- Any task (classification, entity recognition, etc.)100% open-source, built by MIT researchers. https://t.co/xAaKjK4zIM ...

“The 'Open' in OpenAI is supposed to mean 'open source'. And it was created as a nonprofit open source. And now it is a closed-source for maximum profit, which I think is not good karma.”Elon Muskhttps://t.co/Dn9eo3HFPx ...

RT GitFish (@gitfish)GitFish V2 is now live on @Solana.1 GitHub project -> 1 coin. Popular projects cost more points to launch.Support open source. Find the next big thing.P.S. We're airdropping bonus points to V1 users daily over the next five days. The first drop is live — enjoy! https://t.co/egUASydpxq ...

Core Insights - Reflection AI, founded by former Google DeepMind researchers, raised $2 billion in funding, achieving a valuation of $8 billion, a 15-fold increase from $545 million seven months ago [2] - The company aims to redefine itself as an open-source alternative to closed AI labs like OpenAI and Anthropic, focusing on building a thriving AI ecosystem in the U.S. [2][3] - The funding round included prominent investors such as Nvidia, Sequoia Capital, and Eric Schmidt, highlighting strong market interest [2] Company Background - Reflection AI was established in March 2024 by Misha Laskin and Ioannis Antonoglou, both of whom have significant experience in AI development [3][4] - The founders believe that independent startups can accelerate advancements in AI, particularly in developing "small task agents" before achieving general superhuman intelligence in about three years [3][4] Product Development - The company launched its first product, Asimov, a code understanding agent, which reportedly outperformed competitors in blind tests [5] - Reflection AI's strategy involves starting in the programming domain, as they see it as a natural advantage for language models, allowing for future expansion into other areas like marketing and HR [5][6] Team and Talent Acquisition - The company has recruited a top-tier team from DeepMind and OpenAI, with members who have contributed to significant AI projects [6] - Laskin emphasizes that the opportunity to lead core projects in a startup is more appealing to top talent than high salaries in large labs [6] Technology and Infrastructure - Reflection AI is building an advanced AI training system and plans to release a cutting-edge language model trained on "trillions of tokens" next year [7] - The company aims to create a scalable business model aligned with open intelligence strategies, focusing on providing model weights while keeping training data proprietary [10][12] Market Positioning - Reflection AI's mission is to ensure that open models become the preferred choice for global users and developers, countering the trend of AI technology being concentrated in closed labs [9] - The company targets large enterprises that require full control over AI models for cost optimization and customization [11] Future Plans - The first model from Reflection AI is expected to be text-based, with plans for multimodal capabilities in the future [12] - The company intends to use the recent funding to enhance its computational resources, aligning its financial strategy with growth phases [12]

“The 'Open' in OpenAI is supposed to mean 'open source'. And it was created as a nonprofit open source. And now it is a closed-source for maximum profit, which I think is not good karma.”Elon Muskhttps://t.co/Dn9eo3HFPx ...

Gemma Let's just start with with the post on X and the meeting Sunday. In the comments there appear to be employees of the sale and customers who are reacting. Are you able to quantify for us what that reaction has been and sort of what your responses to it.So thanks for having me. Of course. And maybe just to get, you know, all of the noise out of the way.And I want to clearly acknowledge that the Post did cause quite a bit of pain. I want to obviously say sorry to the well-meaning people, you know, people ...