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ides by mid-2027. Tesla expanded its unsupervised Dallas robotaxi zone by 160%, while hiring operations staff in more cities and testing Cybercabs ahead of a Sept. 3 Austin event. OpenAI VP Peter Welinder says affordable Level 5 self-driving capable of handling any road or weather without maps or human intervention is still 5–10 years away. BlackBerry is betting its post-smartphone future on QNX, the safety-critical software embedded in 275M vehicles and now expanding into robotics. Indian drone

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s into machine-readable data ⚡️ Gemini Omni 1.1 Flash - Google’s upgraded video model 🎥 H3 Max - fal's MiniMax H3 remixed video model tuned for speed and quality Sponsored Listing OpenAI published an open letter signed by 116 companies (including Anthropic) warning that AI-enabled cyberattacks will become “far more widespread and sophisticated” in the coming months, calling for a coordinated cyber defense push. Nvidia is reportedly acquiring open model hub Hugging Face for $12.9B, with open-sour

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he LLM) have little idea exactly how it came up with that specific answer. This mysterious behavior can be useful in some situations. But—as highlighted by a recent incident where OpenAI could not explain why its advanced prerelease model hacked AI company Hugging Face—it can have negative and alarming consequences too. And when frontier AI models are writing code, generating results humans could not achieve alone, and performing other important tasks across society, the need to interpret AI “th

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fe music, voiceovers, & sound effects Build an AI agent, then see its reasoning, tool calls, and token usage. Join Honeycomb and AWS on Aug. 25 to explore Agent Timeline hands-on. OpenAI introduced a new plugin for Apple Messages, allowing ChatGPT to search, view, and send messages from its ChatGPT, Codex, and Work platforms. Asana said it used OAI’s Codex to remove an outdated testing framework in two weeks for around $12k, work the company originally estimated would take five years and $6M. Ad

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tive-draft-model-path LiquidAI/LFM2.5-2.6B-DSpark \ --speculative-draft-attention-backend flashinfer \ --disable-radix-cache --mem-fraction-static 0.75 --port 30000 Then query the OpenAI-compatible endpoint at http://localhost:30000/v1 . The block size is read from the draft's config.json ; the baseline is the same command without the three --speculative- flags. Running them with llama.cpp requires the respective llama.cpp build ( PR 27383 ). llama-server -m LFM2.5-2.6B-F16.gguf \ -md LFM2.5-2.6

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k interfaces, but the big reason is that now these three different parts of the system can be upgraded independently. The NIC modularity will also allow Cerebras to allow partners OpenAI and Amazon Web Services to attach their own choice of NICs on the WSE engines to link them to the GPUs and XPUs they use for the prefill part of inference as well as the training of GenAI models. Here is what the Nexus rack looks like: The Nexus rack has three power shelves in the front and three CS-4 compute ba

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an choose a specific engine or rely on the bundled engines offered by some labs. On OpenRouter, we offer Exa, Parallel, and Perplexity, alongside the native engines from labs like OpenAI, Anthropic, and Google; Search method. Either you can perform the search before calling the model and pass the results in as context, or you can equip the model with a web search tool that it calls at its discretion; Search budget. If you choose the search tool method, you can also give the model a budget for ho

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ombining Opus 4.8 with Lightning and Gemma 3. All of this comes as Nvidia is moving deeper into other areas of generative and agentic AI, including security. Soon after reports of OpenAI’s GPT-5.6-Sol and another unreleased frontier model autonomously breach Hugging Face, Nvidia led the development of a consortium of more than three dozen companies launched the Open Secure AI Alliance, arguing that protections used to defend infrastructure from AI threats need to be built on open models and tool

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ffusion image/video, audio, GGUF • Connect Claude Code and Codex to local LLMs • 50% more accurate, self-healing tool calls + sandboxed code exec • Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac • Train models 2× faster with 70% less VRAM • Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF) • Use Unsloth’s OpenAI-compatible API and cloud models • Securely deploy LLMs remotely and access anywhere Unsloth Desktop is now available on https://t.co/xxBDOI9ApK and GitHub.

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This means you can plug baseten-hosted models straight into your favorite tools without any extra glue code. Browse the full list of integrations here . from Python import os from openai import OpenAI client = OpenAI( base url= "https://router.huggingface.co/v1" , api key=os.environ[ "HF TOKEN" ], ) completion = client.chat.completions.create( model= "deepseek-ai/DeepSeek-V4-Flash-0731:baseten" , messages=[ { "role" : "user" , "content" : "Write a Python function that returns the nth Fibonacci n

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ide, infosec's a good bet for a long, stable career FOSS NetBSD may have found a new role: The AI-free FOSS OS Increasing awareness and adoption, followed by increasing donations; OpenAI dots inspire open source imitators amid technical difficulties Persistent agents appeal to AI companies, but demand isn't obvious; Ubuntu 'Stonking Stingray' beta swims out: Deeper Rust 'oxidization' plus LLM speech-to-text GNOME 51 is here, and Ubuntu interim releases are getting interesting again; Revive Raski

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al., Princeton - paper) is the canonical benchmark: real GitHub issues from major Python repos, resolved by writing a patch that makes hidden failing tests pass, human-filtered by OpenAI down to 500 instances confirmed to be fairly solvable. swebench verified v1 runs the Harbor Hub packaging against the official instance images; SWE-bench Multilingual (Khandpur et al., SWE-bench team - blog, paper, swebench multilingual v1) extends the canonical benchmark beyond Python: the official 300-instance

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ck diffusion drafting: a speculator whose cost stays flat as blocks grow, and whose architecture can keep shedding compute as fast as its targets do. We believe it is the right architecture for speculation for compatible models. We expect this model shape to keep spreading across the open frontier, and we will keep pushing DFlash to its limits to match it. Inkling is available today as an OpenAI compatible shared endpoint through Modal Auto Endpoints. Try it today and let us know what you think!

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Microsoft Foundry is a platform for building and operating agentic AI applications. Foundry starts with the widest model selection on any cloud — models from Microsoft, OpenAI, Anthropic, Meta, Mistral, DeepSeek, Hugging Face, and others, spanning frontier, open-source, and custom weights — all accessible through a single endpoint and a single set of SDKs in Python, C , JavaScript, and Java. On top of those models sits the Foundry Agent Service : multi-agent orchestration with built-in memory, k

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ide, infosec's a good bet for a long, stable career FOSS NetBSD may have found a new role: The AI-free FOSS OS Increasing awareness and adoption, followed by increasing donations; OpenAI dots inspire open source imitators amid technical difficulties Persistent agents appeal to AI companies, but demand isn't obvious; Ubuntu 'Stonking Stingray' beta swims out: Deeper Rust 'oxidization' plus LLM speech-to-text GNOME 51 is here, and Ubuntu interim releases are getting interesting again; Revive Raski

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ide, infosec's a good bet for a long, stable career FOSS NetBSD may have found a new role: The AI-free FOSS OS Increasing awareness and adoption, followed by increasing donations; OpenAI dots inspire open source imitators amid technical difficulties Persistent agents appeal to AI companies, but demand isn't obvious; Ubuntu 'Stonking Stingray' beta swims out: Deeper Rust 'oxidization' plus LLM speech-to-text GNOME 51 is here, and Ubuntu interim releases are getting interesting again; Revive Raski

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heavy software engineering behind the scenes is all to let the user browse a carefully arranged set of information sources from a clean UI. Industry materials point the same way. OpenAI Agents SDK's official docs emphasize sandbox, workspace, handoff, and tracing; AWS AgentCore's official release lists Runtime, Memory, Identity, Gateway, Browser as enterprise modules. They jointly signal one thing: the center of gravity of Agent products is moving from “writing prompts” to “maintaining the cont

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, industry-wide partnership and adoption of robust, interoperable tools is essential. More content across the web will soon carry these imperceptible watermarks, as companies like OpenAI, Kakao and ElevenLabs are bringing SynthID technology to more of their AI-generated content. This builds on our ongoing work to make content origins clearer, like open-sourcing our SynthID text watermarking technology and partnering with NVIDIA to watermark AI-generated video from their Cosmos world foundation m

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the appointment — the optimal strategy to solve the task. Task Corpus The synthesis loop produced 4,504 tasks across 1,040 domains using zai-org/GLM-5.1-FP8 as the synthesizer and openai/gpt-5-mini as the solver model for gating at avg@20. Each family is a self-contained world with its own DB schema, logic, and verification criteria. Every task has been empirically measured against at least one solver model. Further, we generated 200K+ traces using zai-org/GLM-5.1-FP8 as the solver model in the

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ing renderers, a standalone Python library that gives developers full control over conversation formatting for RL and multi-turn inference. The renderer abstraction, introduced by OpenAI's Harmony template for gpt-oss and popularized by Thinking Machines' Tinker cookbook, turns model chat templates into programmable Python objects. Instead of treating a chat template as a black-box Jinja string that formats messages, renderers exposes the operations RL systems actually need: rendering messages t

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