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June 11Thursday
  1. Factory62

    Factory rolls out automated security review in Droid

    Factory is rolling out automated security review in Droid, which runs a STRIDE-based security review alongside standard code review on every non-draft PR and posts findings with severity, a CWE reference, an explanation and a suggested fix as inline comments on the diff. The company says Droid's security review has been run across production codebases and surfaced findings that went through responsible disclosure, including CVE-2026-42876 in external-secrets and workos/workos-node#1578. Droid builds a lightweight threat model of the changed surface, scans for vulnerabilities such as OWASP Top 10 and OWASP LLM Top 10 issues, then validates each candidate finding against the diff to filter false positives before posting one deduplicated summary per PR.

    Why it matters: Factory's Droid now runs a STRIDE-based security review on every non-draft PR, and the post shows real CVEs it surfaced in production codebases.

June 9Tuesday
  1. MiniMax Blog58

    MiniMax details MaxProof: generative-verifier RL and evolutionary search for mathematical proof

    MiniMax published a technical blog explaining MaxProof, the framework behind M3 exceeding the human gold-medal threshold on IMO 2025 and USAMO 2026. The pipeline trains three expert models for proof generation, error judgment and proof repair, then runs an evolutionary test-time search that samples 32 candidates, verifies each 4 times and refines over up to 10 rounds. MiniMax says the key lesson is that a generative verifier used as an RL reward should prioritize low false positives over average accuracy, citing M2-cycle reward hacking where the false-positive rate rose from about 2.9% to 8.0% during training.

June 1Monday
  1. MiniMax Blog87

    MiniMax M3 released with 1M context, frontier coding and native multimodality

    MiniMax released M3, an open-weight model it says is the first to combine frontier coding and agentic performance, a 1M-token context window, and native image and video input. M3 uses MiniMax's new MSA sparse attention architecture, which the company reports cuts per-token compute at 1M context to 1/20 of the previous generation and speeds prefill by more than 9x and decoding by more than 15x. It scores 59.0% on SWE-Bench Pro, 66.0% on Terminal-Bench 2.1 and 74.2% on MCP Atlas, and is available through MiniMax Code, the Token Plan and the API, with weights and a technical report promised within 10 days.

    Why it matters: MiniMax M3 combines a 1M-token context, frontier coding and agentic scores, and native image and video input in one open-weight model, with MSA cutting per-token compute at long context.

  2. Modal Blog46

    Modal: Reinforcement Learning for LLM Post-Training Is an Infrastructure Problem

    Modal says the bottleneck in RL post-training of LLMs is now infrastructure, not algorithms, and has released an open-source library drawn from running RL at scale. It details three pain points — glue code, cluster queueing and GPU under-utilization — and reports RDMA weight sync cutting Qwen3 8B update time from 2.62s to 41ms.

May 27Wednesday
  1. MiniMax Blog72

    MiniMax upgrades Agent as Mavis and launches Agent Teams for long-running tasks

    MiniMax upgraded MiniMax Agent under the new name Mavis and launched Agent Teams, which let multiple role-specific Agents run in parallel on the desktop for long, complex tasks. The system uses Leader, Worker and Verifier roles with a state-machine Team Engine that cycles tasks through producing, verifying and done, and it merges TokenPlan and Agent Plan into one subscription spanning CLI, API and Agent across M2.7, music, video and voice. MiniMax says the Agent will be open-sourced soon, expected alongside the MiniMax M3 model, while the desktop app is already available.

    Why it matters: MiniMax explains the design tradeoffs behind its Leader-Worker-Verifier Agent Team, including handoff, sharing and aggregation costs, offering a concrete reference for building multi-Agent runtimes.

  2. Modal Blog38

    Modal opens Role-Based Access Control to all Team and Enterprise users

    Modal is making Role-Based Access Control (RBAC) available to all users on Team and Enterprise plans, built around Environments as enforceable security boundaries. Restricted Environments make workspace members read-only by default, with only explicitly granted users or agents able to deploy and manage resources, and RBAC ties into Audit Logs for a full record of who did what and when.

May 21Thursday
  1. Vapi Blog20

    Vapi: Bringing Voice AI to ACCESS Chronic Care Panels

    Vapi argues that voice AI can now make voice the economically viable channel for ACCESS chronic disease management, citing Hiya data that 42% of consumers prefer voice for healthcare communication, up from 33% the prior year. The post details three production workflows, including Spring Venture Group's Medicare lead qualification agent, built by four engineers in one week, which lifted transfer-to-close rate by 3% and delivered over $5.8M in combined savings and new revenue.

  2. Modal Blog58

    Modal raises $355M Series C at a $4.65B valuation

    Modal raised $355 million at a $4.65B post-money valuation in a round led by General Catalyst and Redpoint, with Menlo, Bain Capital Ventures and Accel joining as new investors. The company says it has grown fivefold since September and surpassed $300 million in annualized revenue, with more than 1 billion sandboxes launched on the platform and sandboxes now driving over a third of revenue. Modal plans to expand low-latency inference, close the training and inference loop for reinforcement learning, and add granular RBAC so customers can give agents capabilities without risk.

May 20Wednesday
May 19Tuesday
  1. Modal Blog55

    Modal launches first-class Sandboxes integration with Claude Managed Agents

    Modal announced a first-class integration between Modal Sandboxes and Anthropic's Claude Managed Agents, letting all tool calls run in a self-hosted Modal Sandbox while Anthropic's managed agent loop handles session state. Modal cites fast cold starts on custom images, snapshot and volume persistence, burst pricing with no idle costs, short-lived connect tokens, and upwards of 100,000 concurrent sandboxes per customer. The company also published two reference examples, a CLI agent and a Slack bot, on the same Modal plus Managed Agents backbone.

May 12Tuesday
  1. Modal Blog58

    How Modal achieved truly serverless GPUs

    Modal published an engineering account of how it cut AI inference replica spin-up from roughly 2,000 seconds to about 50 seconds using four components: a buffer of idle healthy GPUs, a lazy content-addressed filesystem called ImageFS, host-side checkpoint/restore via gVisor's runsc, and CUDA checkpoint/restore built on Nvidia driver support. Across over ten thousand cold starts, mean vLLM boot latency fell from 95,679 ms to 13,797 ms and SGLang from 83,713 ms to 17,486 ms for a ~1 GiB Qwen 3 0.6B model in bf16. The post also notes limits, including single-GPU-only snapshots and host-environment sensitivity that requires multiple snapshots per deployment.

  2. Vapi Blog50

    Vapi Raises $50M Series B as Its Voice Agents Pass 1 Billion Calls

    Vapi announced a $50M Series B led by Peak XV, with YC, M12, Kleiner Perkins and earlier investors participating, bringing total funding to $72M. The round follows a year in which Vapi's enterprise revenue grew 10x and its voice agents crossed 1,000,000,000 calls handled. Vapi says Amazon Ring moved from evaluation to running 100% of inbound calls on its platform in two weeks, with CSAT rising.

May 8Friday
  1. Berkeley AI Research38

    Adaptive Parallel Reasoning: A Survey of Efficient Inference Scaling

    A Berkeley AI Research survey examines adaptive parallel reasoning, in which a reasoning model itself decides when to decompose subtasks, how many concurrent threads to spawn, and how to coordinate them. The post contrasts this with fixed parallelism methods such as self-consistency, Best-of-N, Tree of Thoughts, MCTS, ParaThinker, GroupThink and Hogwild! Inference, which impose the parallel structure externally. Sequential reasoning scales linearly in tokens and latency and risks context-rot, motivating parallel threads that explore independently and concurrently.

May 5Tuesday
May 4Monday
May 1Friday
  1. Vapi Blog34

    Open Stack vs Integrated Solution: Key Considerations for Voice AI Builders

    Vapi Blog interviews Cartesia's Iz Shalom on choosing between integrated and open modular voice AI stacks. Integrated stacks suit narrow use cases and fast proofs of concept, while open stacks fit multiple use cases, multilingual support, and swapping components. The piece urges teams to measure P99 latency in their own environment and build tight evaluations before production.

April 30Thursday
  1. OpenAI Developers Blog47

    OpenAI Developers plugin for ChatGPT and Codex

    OpenAI released a Developers plugin that gives ChatGPT and Codex access to the OpenAI API Platform and API setup guidance, with adaptations for Claude Code and Cursor bundling portable developer skills and the public OpenAI Docs MCP server. It covers API key setup, Agents SDK app building, API migration to the Responses API, and troubleshooting common API failures.

April 29Wednesday
  1. Factory58

    Factory benchmarks 13 models on code review, finds GPT-5.2 best and MiniMax M2.7 cheapest

    Factory built an open-source benchmark testing 13 models on 50 real pull requests from Sentry, Grafana, Keycloak, Discourse and Cal.com, with each model reviewing every PR at least three times at high reasoning effort and an LLM judge scoring findings against a human-curated golden set. GPT-5.2 led at 60.5% F1 for $1.25 per PR, ahead of Claude Opus 4.6 at 59.8% F1 and $3.11 per PR, while MiniMax M2.7 reached 45.6% F1 at $0.15 per PR and Kimi K2.5 hit 51.9% F1 at $0.41. Factory says cost explains only about 21% of quality variance, and it open-sourced the golden set, evaluation scripts and a Droid Action GitHub Action supporting all 13 models.

  2. Modal Blog33

    Building an RL Theorem-Proving Workflow on Modal

    AE Studio details how it trained LLMs to prove math theorems with reinforcement learning on Modal, comparing Evolution Strategies against GRPO while keeping the training loop fixed. The setup runs vLLM inference on GPUs, Lean compiler verification in isolated CPU sandboxes, and a lightweight orchestrator, using per-function images, .map() fan-out, and Volumes for base weights.

April 23Thursday
  1. Factory55

    Factory launches Automated QA skill that tests apps like a real user and reports in PRs

    Factory released an Automated QA skill that drives apps the way a real user would, filling forms, typing into terminals and calling endpoints, then posts a structured report with screenshots, terminal snapshots and API traces as a single comment on each pull request. The skill runs on every push via Droid, can be configured as an optional CI check triggered by a PR label, comment command or manual dispatch, and is also available locally through /qa in any Droid session. Setup uses /install-qa, and the feature is available today in all Factory plans.

April 22Wednesday
  1. Replit Blog22

    Replit Wins 2026 Google Cloud AI Tooling Partner of the Year Award

    Google Cloud named Replit its 2026 AI Tooling Partner of the Year, recognizing the platform now used by more than 50 million people across 85% of the Fortune 500. The award follows the launch of Replit's Agent 4, which the company says is 10x faster than Agent 3 and runs multiple agents in parallel. Replit is available on the Google Cloud Marketplace, integrated with Cloud Run, Kubernetes Engine, and BigQuery.

April 20Monday
  1. Berkeley AI Research38

    GRASP: Gradient-Based Planning for World Models at Longer Horizons

    GRASP is a new gradient-based planner for learned world models that makes long-horizon planning practical by lifting trajectories into virtual states for parallel-in-time optimization, adding stochasticity to state iterates for exploration, and reshaping gradients so actions receive clean signals while avoiding brittle state-input gradients through high-dimensional vision models. The work addresses ill-conditioned computation graphs, non-greedy local minima, and high-dimensional latent failure modes that make long-horizon planning fragile. It was done with Mike Rabbat, Aditi Krishnapriyan, Yann LeCun, and Amir Bar.

April 17Friday
  1. OpenAI Developers Blog60

    OpenAI publishes API deployment checklist for GPT-6 workloads

    OpenAI published an API deployment checklist that walks developers through moving workloads onto the Responses API and the GPT-6 model family, including gpt-6-astra, gpt-6.1-sol, gpt-6 Sol and gpt-6 Luna. The guide covers reasoning.effort levels from low to max, text.verbosity, tool_search with deferred tool loading, Programmatic Tool Calling, Multi-agent, compaction, prompt caching and WebSocket mode, which OpenAI says has shown up to roughly 40% faster end-to-end execution for workflows with 20 or more tool calls. It also details reliability and safety steps such as handling 429 and 503 errors, background=True for long jobs, safety_identifier and misalignment monitoring.

    Why it matters: OpenAI's official deployment checklist consolidates model selection, reasoning effort, tool search, compaction and WebSocket mode into one migration guide for GPT-6 workloads.

April 16Thursday
  1. OpenAI Developers Blog60

    OpenAI Codex app update extends to tools, apps and automations

    OpenAI published an overview of new Codex app updates aimed at working across tools, apps, automations and other developer workflows. The material is a short summary only, so specific features, versions and availability details are not described.

    Why it matters: OpenAI outlines Codex app updates that extend the coding agent across tools, apps and automations, showing how its scope is widening beyond code generation.

April 15Wednesday
  1. Vapi Blog50

    Vapi Launches Vapi Monitoring for Production Voice Agents

    Vapi released Vapi Monitoring, a monitoring product that lets teams create customizable monitors for voice agents and get alerted when thresholds are hit. It covers effectiveness and compliance monitoring for Enterprise subscriptions, plus technical and infrastructure monitoring, and surfaces issues with affected call counts and recommended fixes.

  2. Modal Blog58

    Modal and OpenAI Agents SDK: building a parallel coding agent harness with sandboxes and GPUs

    Modal published a walkthrough on building a custom coding agent harness on top of the OpenAI Agents SDK, which OpenAI launched today, using Modal Sandboxes to give agents isolated Linux environments and GPUs. The guide starts from a minimal exec-based agent, then adds sessions for memory, an orchestrator plus subagent pool for parallel async work, GPU quotas, filesystem snapshots to deduplicate setup, and a skills subsystem, ending with a harness that runs OpenAI's Parameter Golf challenge across parallel GPU subagents. Modal cites Ramp's fleet of background coding agents on Modal, which it says now produces more than half of the company's PRs.

April 14Tuesday
  1. Vapi Blog18

    Vapi Product VP: Fundamentals Matter More Than Ever for Differentiated AI Products

    Vapi VP of Product Management Nathalie Criou told a HumanX panel with Salesforce, Databricks and TinyFish that AI amplifies rather than replaces fundamentals like domain expertise and judgment. She said Vapi's platform, built on millions of real-world voice interactions, develops institutional memory that a single training run cannot replicate. The panel argued shallow moats such as being first to market are eroding while trust, switching costs and unique interaction data compound faster.

  2. Vapi Blog27

    Vapi Engineers Share Lessons on Deploying Voice AI at Enterprise Scale

    Vapi's Forward-Deployed Engineers say the demo-to-production gap is where most enterprise voice AI initiatives stall, requiring extensive testing, guardrails and intent-based design rather than exact phrase matching. The team warns of "personality drift," where agents adopt callers' speech styles, and notes LLMs are non-deterministic, so deployments need defined error tolerance and continuous iteration. They advise starting with cost optimization but targeting revenue generation, and benchmark a good interaction at under a minute.

  3. Modal Blog40

    Modal Autoscaling Autoresearch: Elastic GPUs for AI Research Agents

    Modal demonstrates running autoresearch agents on elastic GPUs: given Modal Skills, Claude Code ran 113 experiments over 238 GPU-hours on OpenAI's Parameter Golf challenge, finishing core training runs 5x faster than a single workstation while using a fraction of a dedicated cluster's resources. Agents provision GPUs via API calls, scaling from one to dozens of H100s and back to zero automatically.

April 10Friday
  1. Modal Blog38

    Butter Acquired by Modal, Founder Erik Dunteman Joins Sandbox Team

    Modal has acquired Butter, with founder Erik Dunteman and researcher Raymond Tana joining Modal's Sandbox team. The Butter team brings agent harness engineering experience, including bVisor, a virtual Linux kernel written from scratch in Zig for lightweight, ephemeral sandboxes. Modal says the hire advances its goal of making Modal Sandboxes a best-in-class product experience.

April 8Wednesday
  1. Modal Blog40

    Modal powers real-time inference for Physical Intelligence robots

    Physical Intelligence (Pi) runs its Visual-Language-Action robot models on Modal, adding only ~10-15ms of network overhead. Pi worked with Modal to build a QUIC-based portal over UDP with automatic NAT traversal, replacing TCP Tunnels to avoid request-response stalls in the robot control loop. Checkpoints stored in Modal Volumes load in under 30 seconds, and region-pinned deployments keep inference close to robots.

April 7Tuesday
  1. Modal Blog22

    Modal Product Updates: RTX Pro 6000 Blackwell, Command K, Sandbox FS API

    Modal now offers NVIDIA's RTX Pro 6000 Blackwell with 96GB of VRAM and strong fp4/fp8 throughput, available via a single line of code for inference and fine-tuning workloads. The update also adds a dashboard Command Palette (CMD+K), a revamped Sandbox Filesystem API in beta supporting reads up to 5GB and streaming in both directions, and CLI log commands with historical fetching.

April 1Wednesday
  1. Vapi Blog18

    Vapi Launches Enhanced Security Mode for Enterprise Voice AI Audio Privacy

    Vapi released Enhanced Security Mode, an audio privacy layer it calls the quietest and most secure ever deployed in an enterprise voice AI platform, designed to prevent AI agent speech from being overheard in open spaces. The company says its entire audio pipeline was re-engineered to invert signal-presence optimizations without adding latency artifacts. Early access covered healthcare, benefits administration, and post-acute care organizations, and the feature is available now.

March 26Thursday
  1. Modal Blog38

    Runway partners with Modal to power real-time inference for Runway Characters

    Runway is partnering with Modal to power real-time inference for Runway Characters, a real-time video agent API built on Runway's GWM-1 world model that generates expressive digital personas from a single image with zero fine-tuning. Modal's serverless platform let Runway move from proof of concept to production in under 30 days, using single-line multi-node GPU clusters with RDMA networking across every region. Characters is available now to developers and businesses at dev.runwayml.com and to consumers at runwayml.com.

March 25Wednesday
  1. Modal Blog22

    How Doppel cut ML infrastructure overhead with Modal

    Doppel migrated a large portion of its ML workflows to Modal, removing the infrastructure friction that slowed training experimentation and inference deployment. Parallel experiments via map() replaced sequential runs, while image layer caching and persistent volumes cut build times by up to 10x, with complex setups reaching sub-minute warm builds.

March 20Friday
  1. Vapi Blog38

    Vapi Webinar Answers Top Questions on Composer Voice Agent Builder

    Vapi hosted a webinar in which Principal Product Manager Nick Robin demoed Composer, its in-product assistant for building voice agents without code, producing a working inbound customer service agent within a 30-minute demo. Composer writes system prompts, provisions phone numbers, sets scheduling and flags its own errors for approval. It is currently in alpha and supports both inbound and outbound assistants, CRM and calendar integrations, and editing of existing agents by assistant ID.

March 13Friday
  1. Berkeley AI Research38

    Berkeley AI Research Introduces SPEX and ProxySPEX for Identifying Interactions at Scale for LLMs

    Berkeley AI Research researchers describe SPEX and ProxySPEX, algorithms that identify influential feature, data, and model-component interactions in LLMs at scales far beyond prior methods. SPEX reframes interaction search as sparse recovery using sparsity and low-degreeness, while ProxySPEX exploits hierarchy to match SPEX with about 10x fewer ablations. On sentiment analysis, SPEX matches Faith-Shap and Faith-Banzhaf faithfulness on short inputs and retains it as context scales to thousands of features.

March 12Thursday
  1. OpenAI Developers Blog67

    OpenAI updates Sora 2 prompting guide with character references, 20s clips and video extension

    OpenAI updated its Sora 2 prompting guide to cover new API capabilities: reusable character references for objects and animals, 1920×1080 and 1080×1920 exports, a maximum clip length raised from 12s to 20s, video extension that uses the full original clip as context, and a Batch API for asynchronous video jobs. The guide also walks through prompt structure for shot framing, camera motion, lighting and dialogue, and notes that resolution, duration and character IDs must be set as API parameters rather than described in prose. Extensions of up to 20 seconds are supported, and a video can be extended up to 6 times for a total of 120s.

    Why it matters: OpenAI's updated Sora 2 prompting guide details new API capabilities such as character references, 20s clips and video extension, plus reusable prompt templates for controlling shots.

March 4Wednesday
  1. Modal Blog22

    Modal Product Updates: Directory Snapshots, GLM-5 Endpoint and Billing API

    Modal added Directory Snapshots for Sandboxes, letting users snapshot a single directory and mount it into a new Sandbox independently of the base image. Modal also released a free public GLM-5 endpoint with Z.ai through the end of April, compatible with OpenCode, Claude Code, OpenClaw and the Vercel AI SDK. The modal billing report CLI and modal.billing.workspace_billing_report API are now generally available for Team and Enterprise workspaces.