The enthusiasm has spawned an entire ecosystem of tools designed to make you feel like you’re running a company with AI agents.

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.

Within eight days, the same campaign had cascaded from GitHub Actions to Docker Hub, npm, PyPI, and the VS Code extension marketplace. With just one token across five ecosystems, thousands of organizations were potentially impacted.

Within eight days, the same campaign had cascaded from GitHub Actions to Docker Hub, npm, PyPI, and the VS Code extension marketplace. With just one token across five ecosystems, thousands of organizations were potentially impacted.

Within eight days, the same campaign had cascaded from GitHub Actions to Docker Hub, npm, PyPI, and the VS Code extension marketplace. With just one token across five ecosystems, thousands of organizations were potentially impacted.

Accepted applicants and collaborators must have existing ChatGPT accounts to apply

Claude remains the only frontier AI model available to customers on all three of the world's largest cloud platforms: AWS (Bedrock), Google Cloud (Vertex AI), and Microsoft Azure (Foundry).

The risk of this strategy to the ecosystem is that it makes previously attractive categories no longer viable.

Some categories never developed a competitive response to this strategy: email, advertising infrastructure, user-generated video.

They don't mind paying the AI labs for tokens — but the agent itself, they'd much rather have outside of the labs' infrastructure.

These system prompt updates do not apply to the Claude API.

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As the cost of software development falls, trusted partners with broad adoption can expand faster than anyone else.

The integration also connects to Upwork's AI agent Uma, which helps automate parts of the hiring and execution process once a project is underway.

Cybersecurity is a team sport, and the systems people rely on are protected by organizations of many kinds, from major enterprises and security vendors to researchers, maintainers, public institutions, nonprofits, and smaller teams with limited security resources.

We study a mix of Hugging Face downloads and model derivatives, inference market share, performance metrics and more to make a comprehensive picture of the ecosystem.

We present a comprehensive adoption snapshot of the leading open language models and who is building them, focusing on the ~1.5K mainline open models

We present a comprehensive adoption snapshot of the leading open language models and who is building them

that are the foundation of an ecosystem crucial to researchers, entrepreneurs, and policy advisors.

We study a mix of Hugging Face downloads and model derivatives, inference market share, performance metrics and more to make a comprehensive picture of the ecosystem.

focusing on the ~1.5K mainline open models from the likes of Alibaba's Qwen, DeepSeek, Meta's Llama

Chinese models overtook their counterparts built in the U.S. in the summer of 2025 and subsequently widened the gap over their western counterparts.

The United States leads in AI investment, but its ability to attract global talent is declining.

We calculate the aggregate amount of compute (in H100-equivalents) held by Amazon, Google, Meta, Microsoft, and Oracle, as a share of the global total each quarter.

Many AI labs (including OpenAI and Anthropic) largely depend on these hyperscalers for access to R&D and inference compute.

Most skills require you to install a dedicated CLI. But what if you aren't in a local terminal? ChatGPT can't run CLIs. Neither can Perplexity or the standard web version of Claude.

Someone just dropped an open source alternative to Claude Managed Agents.

six third-party providers are ready to go. Pick one with 'hermes memory setup'

购买 𝕏 API 信用额度时，按累计消费金额获得 xAI API（Grok）的免费额度

这次更新解决的核心问题是：𝕏 的 API 之前太贵了，也太难用了。

NVIDIA Ising provides open base models, a training framework, and workflows for fine-tuning, quantization, and deployment. The pre-trained models deliver top performance out of the box, and because everything is open, users can also specialize for their own hardware and noise characteristics while keeping proprietary QPU data on-site.

LEARNING AND EMPLOYMENT15RECORD .—The term ‘learning and employment16record’ means a digital, machine-readable17record of an individual’s educational and em-18ployment history that—19‘‘(i) contains information that may be20self attested and is verified by the employ-21ers, persons for whom the individual per-22formed services, and education and train-23ing providers of such individual;24March 30, 2026 (2:21 p.m.)G:\M\19\OWENUT\OWENUT_038.XMLg:\VHLC\033026\033026.020.xml (1052619|1)

AI companies needed human openness to build their models, but will also kill the openness because the relationship is one-sided.

With Cursor 3, we have the foundational pieces in place—model, product, and runtime—to build more autonomous agents and better collaboration across teams.

Claude 的 Max Pro 账号额度不允许给第三方产品用了，如果你没有使用 Agent SDK 和 Claude Code 为底座的产品，就不能用这个账号里的额度

Claude remains the only frontier AI model available to customers on all three of the world's largest cloud platforms: Amazon Web Services (Bedrock), Google Cloud (Vertex AI), and Microsoft Azure (Foundry).

InteroperabilityBuilds Shared TrustBetween Educationand Employment

INTEROPERABILITY

Olivia is a highly skilled, experienced, and qualifiedcandidate who is expanding her skills and abilities overtime, yet she isn’t able to show her progress. Therefore,her application does not paint a comprehensive pictureof her ability. Because she cannot upload verifiableproof of her skills, the ATS has filtered her out before ahuman even had the chance to assess her qualifi-cations. If Olivia chooses to rely on listing her manageras a reference to verify her skills, it could reveal herintention to seek a new job, jeopardizing her currentone.

DATACOLLECTED

This is especially true ofrecords that are older and housed in legacy data sys-tems. The sharing of credentials, learning, and employ-ment records is a clunky and imperfect process thatoften results in frustration for learners, job seekers,employers, and workforce advocates

The U.S. Department of Education says these integrated, next-generation strategies should feature a credential registry, learning and employment records (LERs), and a skills-based job description generator.

Yet most credentials fail to adequately capture the skills and knowledge of students who earn them, keeping employers in the dark and closing doors for jobseekers without four-year degrees

I think we need to concentrate more on the feedbacks between all of those nodes than on the nodes themselves. And that's tough because I might be an expert on one of those nodes and you might be an expert on one of the other nodes. And and it's not that that's needed. It's the feedbacks between the nodes.

Digital badges can be stacked together to replace or supplement formal and informal learning experiences and be understood by learners, higher education, and the workforce

Micro-Credentials and Digital Badges: An Exploration of Definitions and Implications in Higher Education and Workforce

The most effective approach to achieve these outcomes? Interdisciplinary models that embed skills flexibly across curriculum, that engage learners as part of networks, teams, and exploration, and that embed applied experiences in real-world contexts

Zeitgeist, the ‘ecosystem of worldviews’ that our cultural landscape consists of.

fundamentally change how we connect talent to opportunities

And more importantly, what could it do for workers, education providers, employers, and our communities?

Certain types of learning (like degrees from well-known institutions) continue to be valued over others, even when they might not be the best indicator of job readiness

legacy systems move too slowly, lack the intelligence needed for smart decision-making, and fail to capture the full range of skills and experiences people bring to the table.

However, I also feel that Ruby sometimes seems too focused on being backwards compatible, to a point where it risk hurting the ecosystem. I think this thread is a good example, because it seems like such a small and benign change, yet it's taken several years and lots of back and forth, and in the end the proposed change wasn't even applied(!?).

the best way to make a company erodic is by putting it into an ecosystem of other companies that all work together to have robust circulatory flows throughout the entire ecosystem by doing that we counteract these losses we make the ecosystem orotic and then each company can contribute at its maximum its maximum regenerative potential

iQ4willgenerateandpostadigitalcredentialinthehighschoolstudents'WalletforcompletedCareerandTechnicalEducation(CTE)programsusingtheDigitalCredentialConsortium (DCC)trusted,distributed,andsharedinfrastructureandthe1EdTechOB3wrapperthatprovidescredentialverification,makingiteasierforemployers,educators,andprofessionalstoverifycredential

Institutions increasingly turn to digital credentials to reshape their recruitment and admissions processes. Universities like Georgia Tech, the University of California, Berkeley, and Syracuse already use digital credentials to assess applicants holistically. By incorporating digital badges, microcredentials, and LERs, institutions can create richer, more accurate student profiles that go beyond traditional metrics like standardized test scores and GPA

For nearly half of the lower-wage employment analyzed, we identify at least one higher-paying occupation requiring similar skills in the same metro area. We also find that transitions to similar higher-paying occupations would represent an average annual increase in wages of nearly $15,000, or 49 percent.

Better understanding of what learning described by credentials prepares earners to do in theworkforce, at the skill level. This may be a reframing of competencies toward position descriptionlanguage

bylaws

we

Increasingly, our partners are interested in building collections - or connecting to - credentials that they don’t own, issue, or offer to show learners the full pathways of learning opportunities that they can pursue.

cosystem services can beclassified as

whichecosystem services are most relevant for the re/insurance industry – for risk assessment,underwriting and investment allocation? Figure 1 shows those services we identified as mostrelevant to re/insurance

The study analysedindirect dependencies on ecosystem services and concluded that EUR510 billion, or 36% ofthe EUR 1.4 trillion in investments held by Dutch financial institutions, is highly or very highlydependent on one or more ecosystem services.

there are armed poachers who shoot at us they steal they kill our pigs we think about it all the time 00:06:53 after the wild pigs it's deer their numbers have decreased dramatically since the poachers forced the jarrow to hunt for them wild game is being sold illegally on the 00:07:12 indian market

With an ecosystem focus, the boundaries are manageable (see also Section 3) because processes and feedback are better known. In this regard, the “Regime Shift Database” (https://www.regimeshifts.org/) is a very useful tool. It collects many regime shifts documented in socio-ecological systems and those that affect ecosystem services and human wellbeing, at different scales (global, sub-global/regional, local/landscape). This database contains information about drivers, feedback, ecosystem services involved, temporal and spatial scale, reversibility and confidence related to each observed regime shift.

Often, however, employers aren’t connected to—or even aware of—the worker-serving organizations in their community, and they are therefore unaware of the resources those organizations offer

A STEM education ecosystem consists of partners united by acollective vision of supporting

Funders could use the ecosystem map to identify specific challenges. Technology companies coulduse it to decide which standards to integrate into their products (on both issuing and verificationsides). The map could also describe the progressive rollout of new types of credentials andcredential-linked services

Assessment of the environmental impacts of conservation practices for reporting at the regional and national scales. • �Continue CEAP activities designed to estimate environmental benefits of conservation practices and programs. • �Develop a framework for reporting impacts of conservation practices and programs in terms of ecosystem services. • �Identify future conservation requirements and provide information for setting national and regional priorities. • �Expand assessment capabilities to address potential impacts of changes in agricultural land use and policy and define necessary conservation programs to meet new environmental challenges brought about by alternative land use or policy changes.

A secondary goal of CEAP is to establish a framework for assessing and reporting the full suite of ecosystem services impacted by various conservation practices. Ecosystem services represent the benefits that ecological processes convey to human societies and the natural environment. For example, agricultural lands provide flood and drought mitigation, water and air purification, biodiversity, carbon sequestration, nutrient cycling, and aesthetics and recreation, in addition to the primary agricultural commodities produced. These ecosystem services are often taken for granted and unpriced or underpriced by the marketplace. Research and assessment activities will be integrated within CEAP to provide a scientific foundation for assessing the extent to which ecosystem services are enhanced by conservation practices and programs.

Yet the charging business suffers from big problems. One is how to co-ordinate between the owners of charging points, the owners of the sites where they will be installed, planning authorities and grid firms.

The ecosystem behind React gave you too many choices of this sort, which fragmented the tech stack and caused the infamous “Javascript fatigue”.

But decentralized learning goes farther than that: in a decentralized, Collaborative Learning environment, each team member participates in the learning process. They can identify their learning needs, request courses, give feedback on existing courses, and create courses themselves. We call this a bottom-up approach

Leaders from Accenture and DBS Bank told Harvard Business Review that encouraging employees to teach newly-acquired skills to their colleagues expanded and deepened learning for all. The training of a single employee results in learning opportunities for dozens of others. Collaborative approaches to training ripple through an organization, where ideas and methodologies cross-pollinate from one part of the business to another

Unstoppable CrapsterThis is crap shovelwareRe-skinned exact same other 10 games this sad excuse for a developer been farting out.No sound, no gameplay, no nothing.Can't press two buttons at the same time like jump and move.Plays like sonic the hedgehog just had sex with painbrushWhile having a stroke, heart attack and anal prolapse at the same time.Don't support this developer.Steam get your sh!t together, start filtering out this crap.

Take control of it for yourself.

You might get the impression after reading David's article above that this trend arose from lazy developers who "forgot how to program", but the reality is that the tiny-module ecosystem on NPM was the intention from the beginning

One thing that would be useful to this debate an analysis of a language ecosystem where there are only "macropackages" and see if the same function shows up over and over again across packages.

But all of these attempts misunderstand why the Open Source ecosystem is successful as a whole. The ecosystem of fairly standard licenses provides a level playing field that allows collaboration with low friction, and produces massive value for everyone involved – both to those that contribute and to those that don't. It is not without problems (there are many essential but unsexy projects that are struggling with funding), but introducing more friction won't improve the success of this ecosystem – it will just lead to some parts of the ecosystem to break off.

The problem is that not all tooling supports adding new dependencies from a transform. The first step is figuring out how this can be done idiomatically in the current ecosystem.

Use a node-style require() to organize your browser code and load modules installed by npm.

rehype is an ecosystem of plugins for processing HTML to do all kinds of things: format it, minify it, or wrap it programmatically into a document.

Something to be aware of when you’re using any bundler: there’s very little consistency when it comes to how modules are packaged in NPM. It’s incredibly frustrating, especially considering many of us write modules these days using ESM. Here’s some various problems that come up:

This happens because npm makes it ridiculously easy for people to release their half-baked experiments into the wild. The only barrier to entry is the difficulty of finding an unused package name. I’m all in favour of enabling creators, but npm lowers the barriers right to the floor, with predictable results.

I offer an additional explanation: that we in the JavaScript world have a higher tolerance for nonsense and dreck.

I've committed to using Svelte, so I want to see it become highly adopted and not die or lose steam. For that, I believe we need to build up the ecosystem. Shared components, actions, transitions, etc. which make it easier for ourselves and others to build apps. I feel this will help Svelte continue to grow and will make it a better tool for our jobs. I see actions as one of the needed pieces to make this happen.

I think hooks will be beneficial to the Svelte ecosystem, making sharing code for Svelte apps that solve common problems easier.

that syncs outside the Apple ecosystem