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TechCrunch

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Joseph Jacks bets on open source startups, a ‘paradox of philanthropy and capitalism’

Open Source Capital has invested in over 80 open-source startups, including Notion alternative AppFlowy, Web development framework Remix and management platform Cerbos.
Founder Joseph Jacks believes open-sourced philanthropy dovetails with sustainable business models, making it possible to strike a balance between the two, regardless of the product or service offered.
Jacks is betting 'open core' will take over from closed-core SaaS businesses and predicts such units will eventually dominate the start-up scene.
Open Source Capital's limited partners include Automattic CEO and WordPress co-creator Matt Mullenweg, Red Hat co-founder Bob Young, GitHub co-founder Tom Preston-Werner, and founding Google investor Ram Shriram among other.
OSS Capital has raised three funds, plans to close a fourth by early 2026, invested at seed level in most companies and led a Series A funding round for W4 Games last year.
Jacks created KubeCon and founded commercial Kubernetes firm Kismatic, which was sold to Apprenda.
OpenBB CEO Didier Lopes said OSS Capital's input and contacts were valuable after his $8.5m seed round, with Kismatic donating the Kubernetes community conference to the Cloud Native Computing Foundation in 2016.
GitLab CEO and co-founder Sid Sijbrandij launched Open Core Ventures (OCV) in 2020, and while it's slightly different in that it's adopting more of an incubator approach to building and investing in companies around existing open source projects, it has a similar underlying philosophy.
OSS Capital's focus is on commercial open-source software (COSS), typically software-as-a-service (SaaS) apps that use open source as a core component.
OSS Capital has made a handful of investments in cryptocurrencies, including $40m for Coinbase CEO Brian Armstrong's ResearchHub, which has prompted it to move from an ERA to an RIA in order to comply with regulatory demands.

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Medium

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Exploring Open Source Tools For Privacy

Exploring Open Source Tools For Privacy.
Privacy on the internet has become a fundamental human right. Open source tools allow you to mitigate these risks, giving you the control you need over your personal data.
Tor Browser operates on the Tor network, which anonymizes your browsing by routing your internet traffic through a global network of servers.
Pidgin is an open source instant messaging client that supports multiple chat protocols, allowing you to combine various messaging services into one. It’s not just easy to use; it also places a heavy emphasis on security.
VeraCrypt is an absolute must-have to protect files and sensitive data. This open-source disk encryption software allows you to secure your files on an encrypted virtual disk or encrypt entire partitions.
Signal is an open source encrypted messaging application that allows users to make secure calls, send texts, and share files. With end-to-end encryption, Signal ensures that only you and the intended recipient can read your conversations.
NordVPN is well-regarded for its security features, ease of use, and performance. It encrypts your data with some of the most advanced protocols available, making it virtually impossible for anyone to decipher your information.
The community behind open source tools facilitates a continuous cycle of enhancement. When you use open source privacy tools, you’re contributing to a larger movement aimed at protecting individual rights and privacy in a digital world.
Privacy laws like GDPR and CCPA come into play, the narrative surrounding online data security is shifting. Open source tools play a crucial role in this transformation by providing users with alternatives.
By leveraging open source tools for privacy, you can take control of your data and limit the invasions of your personal space.

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Siliconangle

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H2O.ai releases small language models for multimodal processing tasks

H2O.ai has released two small language models, Mississippi 2B and Mississippi 0.8B, optimized for multimodal tasks.
Mississippi 2B is designed to analyze images based on natural language instructions and can generate detailed descriptions and explanations.
Mississippi 2B and Mississippi 0.8B can both be used for text extraction tasks, with the latter outperforming other models in optical character recognition.
H2O.ai envisions these models being deployed on devices with limited processing power and for latency-sensitive use cases.

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VentureBeat

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Zyphra’s new Zyda-2 dataset lets enterprises train small LLMs with high accuracy

Zyphra Technologies has released Zyda-2, an open pretraining dataset comprising 5 trillion tokens.
Zyda-2 has been distilled to retain the strengths of existing datasets while eliminating weaknesses.
Zamba2 small language model trained on Zyda-2 performs significantly better than other state-of-the-art language modeling datasets.
The dataset aims to help enterprises train high-accuracy small language models for edge and consumer devices.

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Ubuntu

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Why is Ubuntu Linux the leading choice to replace CentOS for financial services?

Financial services organizations using CentOS as their foundation for innovation watched as CentOS 8 retired in 2021, followed by CentOS 7 in June 2024.
Ubuntu offers a smooth migration experience and provides a stable landing zone for financial services organizations.
Financial institutions are amongst the most cautious when making major technological changes due to the sensitivity of their work.
60% of financial institutions report that their legacy tech stack is too costly and inadequate.
With an Ubuntu Pro subscription, you can extend long-term support for up to 12 years.
Given the importance of controls and policies that govern access permissions in compliance frameworks, it’s important your OS empowers security teams to make changes dynamically.
Open source systems, like CentOS and Ubuntu, are able to provide interoperability between public and private clouds.
Ubuntu is the reference platform for Kubernetes, meaning that Kubernetes is built on Ubuntu.
Ubuntu provides the enterprise-grade tools for the job, making it a leading choice for financial services institutions.
Financial institutions will need to make decisions about how to deploy their resources and whether it is time to switch to a new system like Ubuntu.

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Analyticsindiamag

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Zerodha Announces $1M FLOSS Fund to Support Open Source Projects

Zerodha, India’s largest stock brokerage, has announced a $1 million FLOSS Fund to support open source projects globally.
The fund will provide structured financial support, offering a minimum of $10,000 and up to $100,000 to each recipient.
Zerodha aims to address the lack of financial sustainability for FOSS projects, which have played a crucial role in the company's success.
The fund will be operated like an Open Source Program Office (OSPO) and will accept applications through a new system implementing a 'funding.json' format.

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Hackaday

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Winamp Taken Down: Too Good For This Open Source World

The source for the Windows version of Winamp has been taken down from GitHub.
The code had faced criticism for its license terms and possible open source violations.
There were also inadvertent releases of proprietary third-party code.
The motive behind the removal remains unclear, raising speculation and providing entertainment.

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Marktechpost

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Mistral AI Introduces Les Ministraux: Ministral 3B and Ministral 8B- Revolutionizing On-Device AI

Mistral AI has introduced two new AI models called Ministral 3B and Ministral 8B.
These models bring powerful language modeling capabilities directly to devices, eliminating the need for cloud computing resources.
Ministral 3B is optimized for ultra-efficient on-device deployment, while Ministral 8B offers greater computational power.
The models address limitations in existing edge AI technology, ensuring data privacy, reduced latency, and improved performance.

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TechCrunch

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Mistral releases new AI models optimized for laptops and phones

French AI startup Mistral has released its first generative AI models designed for edge devices.
The new models, called 'Les Ministraux,' can be used for various applications and have a context window of 128,000 tokens.
Mistral offers Ministral 3B and Ministral 8B, with the latter available for research purposes and commercial license required for self-deployment.
Mistral claims that Ministral 3B and Ministral 8B outperform comparable models on AI benchmarks and continues to expand its AI product portfolio.

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VentureBeat

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What open-source AI models should your enterprise use? Endor Labs analyzes them all

Endor Labs has developed Endor Labs Scores for AI Models, which uses 50 out-of-the-box metrics to score models based on security, activity, quality and popularity.
The new platform will initially score more than 900k open-source AI models available on Hugging Face.
Models are being built on top of each other and this presents problems when it comes to visibility and security.
Endor's platform scores models based on popularity and security, examining the date of creation and update.
AI models are akin to open source software, making it difficult for developers to know that their foundational elements are trustworthy, secure and reliable.
Security in AI models is complex and interesting due to numerous vulnerabilities and risks, making visibility of utmost importance.
Endor will eventually expand beyond Hugging Face and will deploy LLMs that parse, organize and analyze data, automatically and continuously scanning for model updates or alterations.
Basic testing is not something that can be done lightly or easily, as the data that is available can be convoluted and fragmented making it quite painful for people to read and understand.
Security and licensing obstacles must be overcome, whilst companies handling AI models must also be aware of requirements regarding intellectual property and copyright terms.
LLMs are larger and more complex to evaluate than traditional open-source dependencies.

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407

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OCP Summit 2024: The open future of networking hardware for AI

At Open Compute Project Summit (OCP) 2024, we’re sharing details about our next-generation network fabric for our AI training clusters.
We’ve expanded our network hardware portfolio and are contributing two new disaggregated network fabrics and a new NIC to OCP.
Meta believes that open hardware drives innovation, and open hardware takes on an important role in assisting with disaggregation.
DSF fabric allows us to build large, non-blocking fabrics to support high-bandwidth AI clusters, and supports an open and standard Ethernet-based RoCE interface.
Meta will deploy two next-generation 400G fabric switches, the Minipack3 and the Cisco 8501, both of which are backward compatible.
Meta's data center fabrics have evolved from 200 Gbps/400 Gbps to 400 Gbps/800 Gbps, and 2x400G optics have already been deployed in our data centers.
Developers and engineers from all over the world can work with this open hardware and contribute their own software that they, in turn, can use themselves and share with the wider industry.
FBNIC, a true multi-host foundational NIC designed by Meta, contains the first of our Meta-designed network ASICs for our server fleet and MTIA solutions.
FBNIC's key features include network interfaces for up to 4x100/4x50/4x25 GE with SerDes support, HW offloads, header-data split to assist zero-copy, and compliance with OCP NIC 3.0 design specification.
Meta envisions a future of AI hardware systems that are not only scalable but also open and collaborative, and encourages anyone who wants to help advance the future of networking hardware for AI to engage with OCP and Meta.

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Meta’s open AI hardware vision

Meta showcased their open AI hardware designs, including a new AI platform, advanced open rack design, and network fabrics and components at the Open Compute Project (OCP).
Their increasingly large AI workloads have pushed their infrastructure to operate across more than 16,000 NVIDIA H100 GPUs, growing to two 24K-GPU clusters, requiring a high-performance, multi-tier, non-blocking network fabric that can utilize modern congestion control.
Meta expects the amount of compute needed for AI training will grow significantly from where they are today.
To support this growth, they need open hardware solutions to develop new architectures, network fabrics, and system designs.
They announced their new high-powered rack designed for AI workloads, Catalina, and have expanded their Grand Teton platform to support the AMD Instinct MI300X. They have also developed the Open Disaggregated Scheduled Fabric to overcome limitations in scale, component supply options, and power density.
Meta is committed to open-source AI and believes prioritizing open and standardized models and frameworks alongside open AI hardware systems is essential for AI advancements.
Meta encourages those passionate about building the future of AI to engage with the OCP community to unlock the true promise of open AI for everyone.

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Mjtsai

Swift Foundation Unification

Apple has rewritten Foundation in Swift to improve performance and reduce allocations.
The actual Foundation running on Apple's platforms is now open source.
There is a prototype bridge between Swift and Java, with code generation tools for easier interoperability.
Apple is working on a simpler review process for minor API proposals and encouraging contributions from new contributors.

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Hackernoon

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WordPress is Entering its End-Stage Founder Period

WordPress is entering its “end-stage founder” period.
End-Stage Founder Periods (3 Ways to Recognize Them) are typified by flat-line growth, inexplicable and un-reproducible growth curves, higher than normal customer churn and employee attrition.
All Founders Exit, but not all exits look the same.
Most companies collapse with the demise of the founder, because the founder never truly empowered their teams, listened to their customers or the market.
Do not turn on your people, Your clients, team members, and partner ecosystem are delivering valuable feedback.
Step the Founder back. Launching a desperate public relations offensive against WPEngine has emboldened and granted tremendous credibility to detractors when you should actually be building the space for your promoters.
Moving away from the day-to-day and handing over the operation to a tried-and-true professional can be tempered with a Founder’s continuing directional vision-setting and future-casting.
The Web has reached mature saturation: the economics have been largely optimized, and now the very essence of what created the fertile soil on which WordPress was founded - user-generated content with view-driven community-building - has been exposed as, sadly, without much commercial value.
But if WordPress can make the leap to a new modality, a new medium, and side-step the mobile wars and AR/VR search-fest, it could become a new brand that transcends.
It just starts with listening generously and finding the problems that people are trying to solve, that no one is yet solving.

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Medium

365

Where I get my podcasts

Accessing podcast audio files has become more difficult due to walled-garden digital platforms and lack of interoperability.
Huffduffer is a service that helps in finding, curating, and consuming podcasts, promoting both content creators and consumers.
Closed systems like Apple Podcasts and Spotify make it challenging to find and download mp3 files or access RSS feeds directly.
PodGrab is an open-source self-hosted service that allows easy downloading and management of podcasts, enabling custom workflows.

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