Research Intern - Frontier Agents

Meet Together Link: A free CLI that runs open models like Kimi K3 and GLM 5.3 inside Claude Code, codex, and opencode. 4 hours ago Together AI has released Together Link, a free, MIT-licensed CLI now in beta. It connects the coding agents developers already use to open models hosted on Together AI. Supported tools include Claude Code, Claude Desktop, Codex, ChatGPT Desktop, OpenCode, and Pi. The idea is simple: keep the harness, swap the model, and shrink the bill. Is it deployable today? Yes. It installs with one command on macOS or Linux and needs only a Together API key. It is in beta, so commands, routing, and the model list may change. The problem it targets. Coding agents often send every task to the same premium model, from a one-line fix to a full rewrite. In its launch post, Together team states that engineering orgs spend tens of thousands to millions of dollars monthly on closed models. Its argument is that open models have closed much of the gap. Kimi K3 and GLM 5.3 target hard coding work. GLM 5.3 Flash and DeepSeek V4.1 Flash cover everyday tasks. How Together Link works. Installation is a single command: curl -fsSL https://link.together.ai/install | bash The installer adds Bun if needed and places commands in ~/.local/bin. Run togetherlink to open a launcher, or start a tool directly with togetherlink claude, togetherlink codex, togetherlink opencode, or togetherlink pi. Shortcuts such as tclaude also work. According to the official docs, no local proxy or daemon runs. Each tool talks directly to Together's hosted gateway. Terminal agents receive a temporary per-launch configuration that is removed when the session ends. Claude Desktop and ChatGPT Desktop use separate, reversible profiles. Commands like togetherlink chatgpt off switch back. The auto router. Sessions default to a virtual auto model. Per the launch post, the router reads each session's first task. Quick fixes go to fast, low-cost models, while hard problems get frontier capability. With an Anthropic API key, it routes between Opus 5.5 and GLM 5.3. Without one, it routes between GLM 5.3 and GLM 5.3 Flash. Routing happens once per session, so prompt caching keeps working. The Opus path applies only to Claude Code and Claude Desktop, billed to your Anthropic account. Codex, OpenCode, Pi, and ChatGPT Desktop always stay on Together models. To pin one model, place the flag before the tool name: togetherlink -main zai-org/GLM-5.3 claude. Inside Claude Code, the /model menu maps tiers to open models. Opus runs Kimi K3, Fable runs GLM 5.3, Sonnet runs GLM 5.3 Flash, and Haiku runs DeepSeek V4.1 Flash. Models, pricing, and receipts. The docs list Kimi K3, GLM 5.3, GLM 5.3 Flash, and DeepSeek V4.1 Flash, each with 1M context. The product page lists Kimi K3 at $3.00 in and $15.00 out, and GLM 5.3 at $1.40 in and $4.40 out. DeepSeek V4.1 Flash and MiniMax M3 are listed at $0.30 in and $1.20 out. Current rates live on Together's pricing page. Billing runs on your existing Together key, through pay-as-you-go or credit packs. Each session prints token and dollar totals on exit. In Claude Code, the status line shows estimated spend beside the equivalent Opus cost. Running togetherlink usage -last 7d shows gateway-tracked spend across sessions. Together team also notes it serves the largest OpenRouter token share for DeepSeek V4.1 Flash (40.8%), GLM 5.3 Flash (28.2%), and Kimi K3 (23.1%), as of 9/30/2026. Together Link vs closest alternatives. Together Link's edge is a curated, one-command path with built-in savings receipts. Claude Code Router offers broader provider control, but runs a local gateway you manage. Interactive explainer. Key takeaways. One install command connects 6 existing agents to open models on Together AI. The default Auto router picks between GLM 5.3, GLM 5.3 Flash, and optionally Opus 5.5. Together claims over 50% savings, and 50 to 80% versus all-Opus 5.5 sessions. No local proxy runs, and your normal agent configuration files stay untouched. Free and MIT-licensed, but limited to macOS and Linux during beta. Need to partner with Crypto for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.? Connect with Crypto Asif Razzaq is the CEO of Marktechpost AI Media Inc... As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.

Strategic partnership between "Mubadala" and "Together AI" to support the AI infrastructure ecosystem in the UAE * Tuesday, September 29, 2026 10:39 AM * 2 min read * Summary * A+ Abu Dhabi, September 29 / WAM / Mubadala Investment Company "Mubadala", the sovereign investment company in Abu Dhabi, and "Together AI", the leading provider of cloud platform and solutions for building and operating generative AI using open-source models, announced a strategic partnership to explore opportunities in the field of AI infrastructure and its ecosystem in the UAE. Under the partnership, "Together AI" will establish its headquarters in Abu Dhabi, contributing to expanding its business scope, making available its inference and research capabilities to meet regional demand, and supporting developers working on building AI applications in the UAE and the region. "Mubadala" and "Together AI" will work to identify strategic opportunities that support the development of the AI ecosystem and its practical applications in the UAE, in line with the objectives of the Emirate of Abu Dhabi aimed at developing sovereign capabilities across the various stages of the AI value chain, enhancing its position as a global center for applied innovation, and consolidating specialized technical expertise and competencies within the country. This strategic cooperation between Mubadala's UAE Investment Division and "Together AI" comes after Mubadala's participation with a $100 million investment in "Together AI"'s Series C funding round, announced on July 1, 2026, alongside a group of global investors in the technology and financial services sectors. "Together AI" was founded in 2022 and is headquartered in San Francisco, United States, and provides an integrated AI platform combining inference services, model fine-tuning, and accelerated computing. Its platform also enables developers and enterprises to build and run applications using open and customized AI models. This partnership falls within Mubadala's ongoing investments in technological infrastructure supporting the UAE's transformation into a knowledge-based economy, and within its strategic focus on AI as a long-term driver for achieving sustainable economic value. Ali Eid AlMheiri, Executive Director of the Diversified Assets Unit in Mubadala's UAE Investment Division, affirmed Mubadala's keenness to attract leading technology companies, enhance national skills and capabilities, and provide an enabling environment in which scientific research is transformed into practical and tangible applications. He added that cooperation with "Together AI" is consistent with Mubadala's strategic approach to supporting the core pillars of the AI ecosystem and expanding access to its advanced infrastructure, noting that the company's establishment of a headquarters in Abu Dhabi will help deepen its cooperation with the country's growing technology sector, achieving long-term sustainable economic value for the Emirate of Abu Dhabi and the UAE. For his part, Vipul Ved Prakash, Founder and CEO of "Together AI", said that global demand for open-source AI solutions is witnessing accelerating growth that exceeds available computing capacity. Developers today are turning to open-source models because of the flexibility they offer in ownership, customization, and scalability, which requires ultra-fast, efficient, and on-demand infrastructure. He added that within this framework, the company is expanding this infrastructure globally, and Mubadala is an ideal strategic partner given its expertise and capabilities that help accelerate "Together AI"'s growth and achieve its expansion goals. * Economy * Science and technology * United Arab Emirates (ARE) * United States of America * Mubadala Investment Company The news is also available in the following languages:

Modal Labs closing $750M round at $15.75B valuation as AI inference demand soars. Tl;dr. * Modal Labs is reportedly closing a $750M round at a $15.75B valuation, more than tripling its valuation from just four months ago amid explosive demand for AI inference. * The surge reflects a broader market shift from model training to inference, where developers are paying a premium for serverless, on-demand GPU infrastructure that scales instantly. * The raise would position Modal as one of the most valuable AI clouds, putting it in direct competition with CoreWeave, Nebius, Lambda, Together AI, and Fireworks AI. A whale-sized round for serverless GPUs. Modal Labs, the New York-based AI infrastructure startup known for its developer-first serverless cloud, is reportedly nearing a massive $750 million funding round that would value the company at $15.75 billion. If finalized, the deal would mark one of the largest private raises for an AI infrastructure company this year and cement Modal as a breakout winner in the second wave of the AI cloud boom. The new valuation represents a stunning leap - more than 3x higher than where the company was valued just four months ago - underscoring how quickly investor appetite for inference infrastructure has accelerated. Sources familiar with the matter say the round is expected to close in the coming weeks, though terms could still shift. Modal has not publicly commented on the raise. From developer darling to decacorn contender. Founded in 2021 by Erik Bernhardsson, former CTO at Better.com and early Spotify engineer behind its music recommendation system, Modal started as a radically simpler alternative to AWS and Kubernetes for running code in the cloud. Its pitch: developers can run any AI workload - from batch jobs to large language model inference - with a single line of Python, no DevOps required. Containers spin up in seconds, scale to thousands of GPUs, and spin down to zero, with customers paying only by the second. That serverless model has struck a chord with AI startups and enterprises drowning in GPU complexity and costs. The company says it now powers workloads for thousands of teams in generative media, voice AI, biotech, and autonomous agents, with usage and revenue growing multiple-fold year-over-year. The reported $15.75 billion valuation is a dramatic jump from Modal's prior valuation earlier this summer, when the company was said to be worth around $5 billion. That prior round itself was already a sharp step-up from its $1 billion-plus valuation in late 2025, charting one of the steepest valuation curves in enterprise tech. Why inference providers are commanding premium valuations. Modal's meteoric rise isn't happening in a vacuum. Investors are pouring tens of billions into what many now call the inference economy. For the past three years, most AI infrastructure capital went toward training - massive clusters of Nvidia H100s and GB200s to build foundation models. Now, the money is shifting to serving those models to hundreds of millions of users. Inference is recurring, high-volume, and increasingly where the margins are. Several forces are driving the premium: First, demand is exploding. The rise of AI agents, real-time voice, video generation, and reasoning models that use 10x to 100x more compute per query has created insatiable need for low-latency GPU capacity. Second, developers want simplicity. Unlike hyperscalers that sell raw capacity by the hour, serverless inference platforms like Modal abstract away autoscaling, cold starts, and GPU orchestration. That ease-of-use commands higher gross margins and fierce loyalty. Third, scarcity equals pricing power. Despite easing shortages, access to latest-generation Nvidia Blackwell chips remains constrained. Neoclouds that secured supply early and can deliver it efficiently are able to grow revenue at triple-digit rates. As one venture investor put it recently, training was a one-time capex boom, inference is a forever software margin. How Modal stacks up against rivals. The AI cloud market has bifurcated into two camps, and Modal is trying to bridge both. On one side are the heavy-asset neoclouds like CoreWeave, now public and valued at over $40 billion, Nebius, Crusoe, and Lambda. These companies raise billions in debt to build massive data centers and lease GPU capacity to hyperscalers and labs on multi-year contracts. On the other side are developer-centric inference platforms like Together AI, last valued at over $3.3 billion, Fireworks AI, valued at $4 billion, and Baseten. These companies compete on speed, model library, and API experience rather than raw megawatts. Modal sits somewhat apart. Unlike pure model-API providers, it lets customers bring any custom model, container, or workflow - not just open-source LLMs. And unlike CoreWeave, it owns no massive data centers itself, instead orchestrating capacity across partners with a software-first layer that optimizes utilization to the second. That asset-light approach has been both its superpower and the bear case against it. Bulls argue Modal can scale faster with far less debt and achieve software-like 70%-plus margins. Skeptics question whether it can guarantee supply of cutting-edge chips at scale without owning the underlying iron, especially as rivals lock up power and Nvidia allocations for years ahead. With $750 million in fresh capital, Modal would have the war chest to answer those doubts - pre-purchasing compute, expanding global regions, and potentially striking dedicated capacity deals while continuing to pour into engineering talent. What comes next. If the round closes as reported, Modal will join an elite tier of private AI infrastructure companies worth over $10 billion, alongside Databricks, OpenAI's infrastructure affiliates, and CoreWeave before its IPO. The key questions now are burn versus growth, path to profitability, and whether an IPO is on the horizon. At $15.75 billion, public-market expectations will be unforgiving - investors will want to see sustained triple-digit growth, enterprise traction beyond startups, and defensibility against both AWS and Nvidia-backed rivals. For now, though, the message from the market is clear: in 2026, inference is king, and Modal Labs is one of its crown princes. AndroGuider Team Articles written by the AndroGuider team. Androguider try to make them thorough and informational while being easy to read.