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r/MachineLearningResearch

Practical notes on setting up a GPU kernel-dev environment: CUDA 13's GPU cutoff, async timing pitfalls, profiler counter permissions [P]

<!-- SC_OFF --><div class="md"><p>I'm working through a free series on GPU kernel engineering (my own channel; I posted the roadmap here earlier: <a href="https://www.reddit.com/r/MachineLearning/comments/1xa4h2g/open_gpu_kernel_engineering_series_naive_gemm_to/">https://www.reddit.com/r/MachineLearning/comments/1xa4h2g/open_gpu_kernel_engineering_series_naive_gemm_to/</a> ) . Session 1 is a setup session. While preparing it I collected a few things that cost me time and that I rarely see in one

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Product Hunt — The best new products, every day

Paddock

<p> Computers and sandboxes for your agents </p> <p> <a href="https://www.producthunt.com/products/paddock-2?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1294009?app_id=339">Link</a> </p>

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MarkTechPostResearch

OpenAI Launches GPT-6.1 Terra, Halving GPT-6.1 Sol’s API Price for Agent Work

OpenAI released GPT-6.1 Terra, a fast computer-use and vision model priced at $1/$5 per million tokens. It matches GPT-6 Astra’s medium-effort Agents’ Last Exam score at $0.29 per task versus $4.82. The post OpenAI Launches GPT-6.1 Terra, Halving GPT-6.1 Sol’s API Price for Agent Work appeared first on MarkTechPost .

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Machine Learning

What is the value proposition of "RL environment" companies? [D]

<!-- SC_OFF --><div class="md"><p>Recently I've been getting bombarded with reach outs from companies that build RL environments and sell to frontier labs like Anthropic, OAI, etc. I'm not really understanding how and why these companies exist. </p> <p>Lets say you somehow create an environment that no other model is able to perform well on. Your second criteria would be that this environment is suitable for RLVR, perhaps you have some metric of gradient information per example in the dataset. S

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The Guardian AIBusiness

‘Digital hostile environment’: AI secretly being embedded across Home Office, report claims

<p>Tasks from determining asylum seekers’ ages to border surveillance now involve AI, says Open Rights Group </p><p>AI has been embedded across the Home Office in near-total secrecy, reinforcing the so-called hostile environment for immigration, according to research.</p><p>Tasks from the detection of potential sham marriages to determining the age of asylum seekers and checking through the contents of phones of new arrivals now involve use of the technology, according to a report by Open Rights

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‘Digital hostile environment’: AI secretly being embedded across Home Office, report claims
Vercel Blog

Vercel Plugin now available in OpenCode

The Vercel Plugin is now available in OpenCode . The plugin provides on-demand guidance on Vercel APIs and recommended patterns, with skills for AI SDK, Vercel Functions, Workflow, and more. It also includes specialist agents for deployment, performance optimization, and AI application design. Use /vercel:deploy to deploy projects and /vercel:env to manage environment variables. The plugin requires OpenCode 2. To install it, run this command in your terminal: Then run /mcps in OpenCode, select v

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Vercel Blog

AI traffic insights now available in Vercel Observability

You can now query AI traffic in Vercel Observability to understand how AI bots are accessing your site. AI traffic insights show: Requests by verified AI bot: how many requests each bot makes Most-crawled pages: pages most frequently requested by AI crawlers for indexing or model training Assistant retrievals: pages AI assistants fetch in response to user actions or search queries Markdown requests: pages AI bots request in Markdown format Errors: pages where requests from AI bots return errors

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Vercel Blog

Vercel Agent sessions now cost 67% less

Vercel Agent sessions in the dashboard and Slack now cost 67% less on average. We rebuilt how Agent manages context, reducing the tokens needed per session and improving prompt-cache reuse. These improvements are live and require no action. What changed: Workflow-based CLI skills: Updated Vercel CLI skills give agents clearer guidance for common workflows and error recovery. Other agents using these skills also benefit. Incremental context management: Agent manages context more efficiently as co

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Vercel Blog

HarnessAgent now supports image inputs for all harness adapters

The AI SDK HarnessAgent layer now accepts image inputs across every harness adapter. Pass images alongside text in the standard AI SDK message format: a content array mixing { type: 'text' } and { type: 'file' } parts. Image input is processed by the harnesses' underlying vision models and supported across all available adapters: Claude Code, Cline, Codex, Cursor, Deep Agents, fx, GitHub Copilot, Grok Build, OpenCode, Pi. Read the HarnessAgent image inputs documentation to get started. Read more

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Simon WillisonLLMs

GPT-6.1 Terra

<p><strong><a href="https://openai.com/index/introducing-gpt-6-1-terra/">GPT-6.1 Terra</a></strong></p> It's always interesting to note which aspects of a new model are emphasized in the release announcement.</p> <p>In the case of GPT-6.1 Terra, OpenAI went with visual reasoning and computer use:</p> <blockquote> <p>We’re introducing <strong>GPT-6.1 Terra</strong>, a fast, efficient model that combines detailed visual reasoning and precise computer use alongside clearer, more natural writing. A

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The Verge

OpenAI announces three big science discoveries and a new way to work with academics

Less than a month after its mass release of hundreds of manuscripts that it said contained solutions to long-standing mathematics questions, OpenAI is back with three more "major" discoveries in math, computer science, and physics. What's different this time is the choice to have external experts that OpenAI describes as "shepherds" guiding the results in […]

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OpenAI announces three big science discoveries and a new way to work with academics
The Guardian AIBusiness

Meta plans $95bn stock offering to help cover AI expansion

<p>Tech firm announces two-part fundraising after Elon Musk warns hundreds of AI startups face collapse</p><p>Mark Zuckerberg’s Meta has announced plans for $95bn (£71bn) of fundraising to cover its AI expenditure, even as Elon Musk warned that funding for smaller players in the sector was drying up.</p><p>The owner of Facebook, Instagram and WhatsApp is a leading investor in AI and is ploughing multibillion-dollar sums into datacentres, the central nervous systems of the technology.</p> <a href

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Meta plans $95bn stock offering to help cover AI expansion
Unite.AI

symplr Launches AI Time and Scheduling to Predict Healthcare Staffing Needs

A hospital staffing gap often becomes most expensive when there is little time left to solve it. Managers scramble for coverage, nurses field last-minute requests, and overtime or premium labor fills the remaining holes. symplr is trying to move those decisions earlier with the launch of symplr Time and Scheduling, an integrated workforce management solution that combines AI-powered scheduling with timekeeping. Announced October 26, the product brings anticipated staffing demand, available…

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symplr Launches AI Time and Scheduling to Predict Healthcare Staffing Needs
Unite.AI

Cloudflare Says GLM-5.3 Bug Leaked 155 Responses Across Tenant Sessions

Cloudflare on October 26, 2026 published an incident report disclosing a cross-request KV cache exposure in the GLM-5.3 model on its Workers AI platform, under which 155 responses to very long prompts contained data from other customers' sessions. Security researcher Gadi Evron of Knostic reported the tenant-isolation issue to Cloudflare on September 8, 2026 through the company's HackerOne program. The exposure affected the model, served as @cf/zai-org/glm-5.3, starting August 27, 2026, the day…

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Cloudflare Says GLM-5.3 Bug Leaked 155 Responses Across Tenant Sessions
Hacker News LLMLLMs

Survival LLM

Article URL: https://www.brangus.io/survival-llm Comments URL: https://news.ycombinator.com/item?id=50252314 Points: 2 # Comments: 0

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Product HuntTools

PulseDev

<p> Click any UI bug on localhost and your AI agent fixes it </p> <p> <a href="https://www.producthunt.com/products/pulsedev?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1293889?app_id=339">Link</a> </p>

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The Guardian AIBusiness

In a rush to lure AI companies, the Australian government risks undoing a creative ecosystem that has taken decades to build | Dan Guthrie

<p>If proposed copyright reforms proceed, Australia will become a global IP-laundering paradise. Why would a UK business license its TV shows here if they can be scraped at will?</p><p>Australia and the UK have always had a shared love of creativity. We consume each other’s TV, news, music and books. Our chefs appear on each other’s TV channels and quite frankly I was bereft when the ABC’s The Newsreader ended its run in the UK.</p><p>That shared love though, appears not to be reciprocated by th

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In a rush to lure AI companies, the Australian government risks undoing a creative ecosystem that has taken decades to build | Dan Guthrie
Unite.AI

OpenAI Says Its Models Produced Three Proofs in Math, CS, and Physics

OpenAI said in an announcement on October 26, 2026, that its internal models produced three research results in mathematics, computer science, and physics, including a disproof of the Exponential Time Hypothesis, a longstanding conjecture in computational complexity theory. In the company's view, the AI-generated manuscripts amount to raw research data that must still be converted into scientific understanding, and it is experimenting with a new release approach toward that end. OpenAI asked…

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OpenAI Says Its Models Produced Three Proofs in Math, CS, and Physics
Hacker News LLMLLMs

Alan Watts Predicted LLM Usage in 1951

Article URL: https://knell.digital/alan-watts-predicted-llm-usage-in-1951/ Comments URL: https://news.ycombinator.com/item?id=50251716 Points: 2 # Comments: 1

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The Verge

Anthropic is burning gas to feed the AI boom

As it prepares to go public, Anthropic's S-1 filing makes generative AI's methane dependency glaringly obvious. "Competition for access to electrical supply and data center locations with adequate power availability is intense." In documents filed with the US Securities and Exchange Commission Monday, Anthropic acknowledges that data centers are becoming increasingly reliant on "natural gas" […]

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Anthropic is burning gas to feed the AI boom
Product Hunt — The best new products, every day

Revix AI

<p> AI code review that learns your repo's own rules </p> <p> <a href="https://www.producthunt.com/products/revix-ai-2?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1293843?app_id=339">Link</a> </p>

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Unite.AI

Vertiv Launches SmartIT Pre-Engineered AI Infrastructure Platform

Vertiv Holdings Co introduced the Vertiv SmartIT solution on October 26, 2026, a pre-engineered, factory-validated infrastructure platform for high-density AI deployments based on NVIDIA MGX and Open Compute Project ORV3 architectures. The platform is available now for AI deployments globally and is designed for enterprises, research institutions and colocation providers across existing facilities and new data centers. Vertiv said the scalable platform supports deployment across existing…

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Vertiv Launches SmartIT Pre-Engineered AI Infrastructure Platform