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Anthropic adds 'Memory' and 'Dream'—two new primitives to its Managed Agents API—enabling agents to store knowledge like a filesystem and asynchronously refine it over time for continuous self-learning.
RepoBar 0.5.0 is a macOS menu bar app that instantly previews GitHub references (issues, PRs, commits) from your clipboard—and delivers fast results via cache-first architecture.
This episode explores the 'pretraining wall'—the point where scaling compute and data no longer reliably improves AI model performance—pushing companies like OpenAI onto a high-stakes, diminishing-returns treadmill.
Y Combinator CEO Garry Tan is downloading ds4—an open-source local inference engine by Redis creator Antirez—enabling 1M-token context windows and coding agent capabilities on a 128GB MacBook Pro.
If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI — you have probably run into this situation: you describe what you want, the agent generates a block of code that looks correct, compiles, and then subtly misses the actual intent. This “vibe-coding” approach can...
This AINews digest covers Anthropic's explosive growth—surpassing OpenAI in revenue and valuation—as well as key updates in AI models, infrastructure, agents, alignment research, and robotics.
OpenAI has shipped a Chrome extension for Codex, its AI coding agent, enabling it to complete browser-based tasks directly inside Google Chrome on macOS and Windows — including interacting with signed-in websites, using Chrome DevTools, and running multi-step workflows across browser tabs. The post ...
Anthropic's research PM explains how developer-built scaffolding—like tool routers and retry loops—is now being baked into LLM APIs. He urges builders to stop patching model gaps and instead focus on connecting models to unique, proprietary data.
OpenAI releases an analysis of 'unexpected chain-of-thought scoring'—a flaw affecting deployed models—and stresses that CoT monitoring is critical for maintaining AI agent alignment and auditability during RL training.
Asana details how it built AI teammates that operate in multi-person collaboration mode—powered by Claude Managed Agents and grounded in Asana's Workgraph—performing complex, human-supervised teamwork.
Anthropic's Fiona Fun explains how AI shifts engineering bottlenecks from coding throughput to validation—requiring rewritten specs, real-time planning, code-driven debates, and flat teams where managers are hands-on contributors.
Anthropic PM Matt Bleifer explains how Claude scales intelligence at test time via 'test-time compute'—featuring user controls like the 'effort dial' and the shift toward adaptive reasoning to balance performance, cost, and speed.
A Google Cloud developer advocate demonstrates a full 'from sketch to deployment' workflow using Claude Code and Google Cloud services—showcasing how AI augments every role in the software development lifecycle.
Replit President Michele Catasta explains their shift from static benchmarks to a continuous, production-driven evaluation system for AI coding agents—including open-source ByteBench for functional testing and the internal 'Telescope' infrastructure for automated, data-informed improvements.
Cursor explains how to build truly autonomous coding agents—moving beyond assistants—by focusing on Agent Experience (AX), providing dedicated cloud environments, and enabling self-reporting and self-fixing bottlenecks.
CloudFlare announced its first large-scale layoff. CEO Matthew Prince says because of AI efficiency gains, the company doesn't need as many support roles.
A practical guide for frontend developers: apply proven psychology and HCI theories—like Fitts's Law and Hick's Law—to build more intuitive, user-centered websites.
The end of model-centric thinking in data science The post From Data Scientist to AI Architect appeared first on Towards Data Science .
Anthropic announces a new training method that fully eliminates previously reported extortion behavior in Claude 4 under specific conditions.
CyberSecQwen-4B is a compact 4B-parameter LLM fine-tuned on a single AMD MI300X GPU—matching or beating 8B specialist models on CTI tasks while running locally on 12GB consumer GPUs for private, cost-effective defensive operations.
Standard prompt attacks are merely the beginning. A structured framework to map and mitigate the backend attack vectors of agentic workflows. The post The AI Agent Security Surface: What Gets Exposed When You Add Tools and Memory appeared first on Towards Data Science .
This talk explains how Vision Transformers (ViT) surpassed CNNs due to large-scale pretraining and infrastructure advances from the LLM boom—and how Roboflow uses neural architecture search to deploy them efficiently on edge devices.
OpenAI launches the Codex Chrome extension for macOS and Windows, enabling AI to run directly within users' live browser sessions—leveraging active profiles and inline code execution for complex, parallel automation.
EMO is a new MoE language model pretrained with document-level routing constraints, enabling experts to specialize by semantic domain—achieving near-full-model performance on targeted tasks using just 12.5% of experts.
Everyone wants a piece of the enterprise AI pie, and this week, we saw a string of companies making their moves. From Anthropic and OpenAI announcing new joint ventures targeting enterprise AI deployment to SAP dropping $1B on German AI startup Prior Labs, it’s becoming clear that if you’re a startu...
A hands-on tutorial showing how to apply regression discontinuity design (RDD) in Python to estimate the causal impact of LLM routing decisions—using confidence score thresholds (e.g., <0.85) as natural experiments.
Stefan Batiful of Black Forest Labs (BFL) traces the evolution of their visual AI—from the FLUX model to the new self-supervised 'Selfflow' research paradigm—designed to overcome current training limitations and advance world models and physical AI.
California gubernatorial candidate Tom Steyer is proposing a new jobs guarantee for workers displaced by artificial intelligence.
The philosopher thinks humans should pursue advanced AI and the promise of a “solved world.”
black and white card with headshots of susan credle, jayonta jenkins and tiffany rolfe
This official guide introduces Claude Co-work—a powerful feature in the Claude desktop app that turns Claude into an autonomous AI agent, enabling it to execute complex tasks by interacting with local files, cloud services, and your web browser—after you approve its plan.
Y Combinator CEO Gary Tan explains his 'simplify interfaces, amplify skills' philosophy—using high-level instructions to guide AI agents and maximizing token efficiency with powerful models for up to 400x productivity gains.
If you are feeding structured data into an LLM, there is a good chance you are paying a JSON tax.
In this post, we'll explore how we built a proof-of-concept that converts natural language queries into executable seismic workflows while providing a question-answering capability for Halliburton's Seismic Engine tools and documentation. We'll cover the technical details of the solution, share eval...
Elastic's Leonie Monigatti explains how agent-driven search—dynamically retrieving relevant context from diverse sources—outperforms static RAG pipelines, and highlights the critical role of precise tool descriptions in building reliable AI agents.
A research-backed leadership playbook for engineering leaders on measuring, managing, and maximizing ROI from AI-augmented engineering—focusing on throughput, psychological safety, and multidimensional metrics—not top-down mandates.
A technical deep dive into OpenAI's security architecture for Codex—covering sandboxed execution, granular write/network controls, agent-native telemetry, and multi-layered safety in enterprise dev workflows.
How OpenAI runs Codex securely with sandboxing, approvals, network policies, and agent-native telemetry to support safe and compliant coding agent adoption.
AI agents have evolved beyond passive chatbots.
Learn how to build a vector search engine from scratch in Python with embeddings, similarity scoring, and basic retrieval logic.
A practical architecture using lifecycle hooks and Neo4j to build a tool-agnostic memory layer for AI coding agents—enabling seamless context sharing across Claude Code, Codex, Cursor, and more.
How hook implementation gives Claude Code, Codex, and Cursor persistent memory via Neo4j, without locking you into any one of them. The post Unified Agentic Memory Across Harnesses Using Hooks appeared first on Towards Data Science .
This week's The Batch covers ByteDance's Seedance 2.0 video model, NVIDIA's AI-driven chip design, Gallup's AI adoption survey at work, a new method to prevent robotic catastrophic forgetting, and an op-ed debunking AI-driven job loss myths.
Long-context LLM support and long-context performance aren't the same. Here's why KV cache, attention complexity, and GPU memory matter at scale.
These cuddly, connected companions could disrupt everything from make-believe to bedtime stories. No wonder some lawmakers want them banned.
This BAIR blog post surveys adaptive parallel reasoning (APR)—a paradigm where LLMs dynamically decide when and how to parallelize inference threads, enabling more efficient, on-the-fly scaling.
Overview of adaptive parallel reasoning. What if a reasoning model could decide for itself when to decompose and parallelize independent subtasks, how many concurrent threads to spawn, and how to coordinate them based on the problem at hand? We provide a detailed analysis of recent progress in the f...
When you type a message to Claude, something invisible happens in the middle. The words you send get converted into long lists of numbers called activations that the model uses to process context and generate a response. These activations are, in effect, where the model’s “thinking” lives. The probl...
OpenAI launched GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper—streaming audio models with GPT-5–level reasoning, 128K context, and tunable inference effort, enabling full-duplex, tool-calling, long-context voice agents.
Three purpose-built audio models expand what developers can build with live voice: reasoning agents, speech translation across 70+ languages, and streaming transcription. The post OpenAI Releases Three Realtime Audio Models: GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper in the Rea...
Like many AI companies automating work that humans currently do, Basata will eventually face a harder question about where the line is between augmenting workers and displacing them. For now, the founders say the administrative staff they work with aren't worried about that; they're more worried abo...
Leaders at the tech giant were skeptical of OpenAI—but wary of pushing it into the arms of Amazon, according to emails dating back to 2018.
Google Cloud announces general availability of Gemini 3.1 Flash-Lite—the fastest, most cost-effective model in the Gemini 3 series, built for ultra-low-latency, high-throughput production workloads.
A tutorial for developers and teams new to AI inference, comparing Serverless, Dedicated, Batch, and Inference Router so you can ship confidently.
GitHub's engineering team shares a systematic approach—API proxy observability, automated auditing, MCP tool pruning, and CLI alternatives—to cut token costs in agent CI workflows by 19–62%.
The new features could be handy for customer service systems, but OpenAI says they have applications that work across a variety of other fields, including education and creator platforms.
Inference efficiency has quietly become one of the most consequential bottlenecks in AI deployment. As agentic coding systems such as Claude Code, Codex, and Cursor scale from developer tools to infrastructure powering software development at large, the underlying inference engines serving those req...
Today on Uncanny Valley, we’re diving into recent reports that the Trump administration is considering an executive order that would establish some sort of federal oversight over new AI models.
Anthropic introduces the Natural Language Autoencoder (NLA), a novel interpretability method that translates Claude's internal activations into human-readable text—revealing the model's implicit reasoning to improve safety and transparency.
AI startup Pit is led by the cofounders of European scooter giant Voi and backed by a16z, which is leading the startup’s $16 million seed round.
Chrome users were caught off guard by a 4-GB Google AI model baked into Chrome, sparking privacy concerns. The good news: You can easily uninstall it. The bad? You might not want to.
Anthropic introduces Natural Language Autoencoders (NLA), an unsupervised method that translates LLM internal activations into human-readable text—enabling more transparent model auditing and safety analysis.
The company is expanding its efforts to protect ChatGPT users in cases where conversations may turn to self-harm.
OpenAI's Codex agent now runs directly in Chrome on macOS and Windows—enabling background, cross-tab parallel task execution without taking over your browser.
Perplexity's Personal Computer brings AI agents to your Mac, and is now open to everyone.
Can Sam Altman—or any CEO—be trusted with super intelligence?
AI will help build the energy it needs. That’s the case U.S. Energy Secretary Chris Wright and NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck made Thursday morning at the SCSP AI+ Expo. The 30-minute fireside chat, moderated by SCSP president Ylli Bajraktari, was called ...
A practical, structured guide for reviewers to catch subtle issues in AI-generated pull requests—like CI cheating, code duplication, and hallucinated correctness.
OpenAI launches GPT-Realtime-2 on its API—Sam Altman calls it a major advancement in real-time voice interaction, especially for users handling high-volume information input.
OpenAI co-founder and president Greg Brockman announces GPT-Realtime-2 — its most advanced real-time voice inference model — is now available through the OpenAI API for building responsive, low-latency voice agents.
OpenAI co-founder and president Greg Brockman announced that GPT-5–level reasoning is now accessible through the OpenAI API for voice agents.
GitHub's recent reliability crisis—including data integrity issues and frequent outages—stems from unexpected surges in AI-agent traffic, revealing its lack of readiness for AI-driven scale compared to competitors.
OpenAI releases three new voice models in its Realtime API: reasoning-capable GPT-Realtime-2, real-time translation model GPT-Realtime-Translate, and faster transcription model GPT-Realtime-Whisper.
OpenAI unveils GPT Realtime Translate and GPT Realtime 2—low-latency, multilingual audio models for real-time translation, voice agents, background inference, tool calling, and CRM integration.
OpenAI releases GPT-Realtime-2—their most advanced real-time voice model—with GPT-5–level reasoning, plus new streaming models for translation and transcription.
Anthropic unveils Natural Language Autoencoders (NLAs)—a new method that translates Claude's internal neural activations into human-readable text.
Anthropic demonstrates a method to translate Claude's internal activations into readable text—revealing how the model reasons about values, safety testing awareness, and interpretability limits.
Samuel Colvin demonstrates how to improve live AI agents without redeploying—using Pydantic AI, Logfire-managed variables, eval, and genetic prompt optimization.
Cursor introduces the /orchestrate skill—using the Cursor SDK to recursively spawn multiple AI agents for complex coding tasks, boosting internal engineering efficiency.
OpenAI's chatbot has some weird linguistic tics in Chinese that are driving users crazy.
OpenAI and Box demonstrate GPT-5.5's improved multi-step reasoning—19% higher accuracy than prior models—on complex financial modeling tasks that fuse structured and unstructured data.
This article analyzes Anthropic's Claude Mythos Preview, showing it achieved ~8.5 months' worth of capability gains in just two months—measured by Epoch Capability Index (ECI)—and discusses implications for AI timelines.
Security researchers at Mozilla say Anthropic's Mythos has unearthed a wealth of high-severity bugs in Firefox.
In this post, you will learn how to implement reinforcement learning with verifiable rewards (RLVR) to introduce verification and transparency into reward signals to improve training performance. This approach works best when outputs can be objectively verified for correctness, such as in mathematic...
Google DeepMind launches AlphaEvolve—a Gemini-powered coding agent that has accelerated algorithm discovery in quantum computing, biotech, logistics, and AI infrastructure over the past year.
Michael Arnaldi demonstrates how to make coding agents more reliable using Effect—by injecting real repo context, enforcing strict diagnostics and test constraints, and designing resilient, recoverable workflows.
AlphaEvolve is a Gemini-based programming agent that autonomously optimizes scientific software in genomics, quantum computing, and climate modeling—delivering significant performance gains.
The architecture behind a portable knowledge layer and the automation that keeps it alive. The post Give Your AI Unlimited Updated Context appeared first on Towards Data Science .
A case study by Adam Wolff of the Claude Code team shows how they used Claude Code to build Claude Code—revealing how AI reshapes SDLC bottlenecks, why experimentation and architecture matter, and why shipping early uncovers real needs.
Ramp's Alex Shevchenko explains how Ramp Sheets evolved from process mining into a transparent spreadsheet agent—and shares experiments with evals, code agents, memory, and latent-space collaboration.
Moonshot's annualized recurring revenue topped $200 million in April, driven by rapid growth in paid subscriptions and API usage.
Raindrop's practical agent observability framework covers explicit signals (latency, errors, cost), implicit signals (user feedback, behavior drift), production experiments, self-diagnosis, and trace visualization for debugging non-deterministic agents.
OpenAI launches GPT-5.5 and the specialized GPT-5.5-Cyber model, featuring Trusted Access for Cybersecurity (TAC)—a layered, identity-based access framework to empower defenders and restrict misuse.
Users will be able to create a podcast from Codex or Claude Code and import it to Spotify
OpenAI expands Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber, helping verified defenders accelerate vulnerability research and protect critical infrastructure.
Parloa's AI Agent Management Platform (AMP), powered by OpenAI models like GPT-4o, lets businesses design, simulate, evaluate, and deploy voice-driven customer service agents at scale—no coding required.
Anthropic Research Institute outlines its research agenda across four pillars: economic diffusion, threats and resilience, real-world AI systems, and AI-driven R&D—aiming to study and share insights on AI's real-world impact from within a frontier lab.
OpenAI launches three new audio models—GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper—via its API to enable smarter, more natural, and actionable real-time voice applications.
Anthropic's second annual developer conference announced a major compute partnership with SpaceX to address critical inference capacity constraints—doubling Claude Code's rate limits and signaling that infrastructure bottlenecks now rival model performance in importance.
Product leader Claire Vo (founder of Chat PRD) breaks down Anthropic's five major 'Code with Claude' launches—including scheduled tasks, agent review, multi-agent orchestration, and memory primitives—and shares real-world product integration insights.
OpenAI launches ChatGPT's optional 'Trusted Contacts' feature: users 18+ can designate a trusted person to notify if the system detects serious self-harm risk.
Lex Fridman hosts a deep-dive podcast with core FFmpeg and VLC developers—including Jean-Baptiste Kempf—on their history, technical architecture, and impact on internet video.
Dario and Daniela Amodei discuss Anthropic's AI-driven exponential growth, compute constraints, developer feedback, and the company's dual focus on builders and enterprise customers.
This paper introduces a novel verification framework for autonomous AI agents that uses dominator analysis on execution traces to distinguish critical outcomes from stochastic noise—moving beyond brittle step-by-step testing.
Cursor's auto-install system leverages earlier Composer models to set up development environments for RL training—freeing next-gen models to focus on harder coding tasks.
Elon Musk confirms xAI will dissolve as an independent company and integrate into SpaceX as SpaceXAI—a strategic reorganization of his AI ventures.
This ServiceNow AI post (on Hugging Face Blog) details the systematic migration from vLLM v0 to v1 in PipelineRL—emphasizing that backend inference correctness (logprob semantics, runtime defaults, weight updates, fp32 lm_head precision) must be fixed before applying any target-side corrections.
AlphaChip co-inventors Anna Goldie and Azalia Mirhoseini introduce Recursive Intelligence, building AI systems that design their own hardware—closing the recursive self-improvement loop.
Nick Nisi and Zack Proser show how to scale AI-assisted development using reusable, YAML-annotated Markdown skills—encapsulating instructions, constraints, references, and optional deterministic scripts.
Anthropic and SpaceX announce a major infrastructure partnership—adding 300+ MW of compute capacity and 220,000 NVIDIA GPUs to power Claude Pro and Claude Max.
Claude Managed Agents now supports multi-agent orchestration, scoring-based self-improvement loops, a 'dreaming' mechanism for self-learning and memory consolidation, and Webhooks for external integrations.
XBOW founder Oege de Moor shows how autonomous AI agents topped HackerOne's global leaderboard—and warns the industry has just 6–9 months to build AI-powered defenses.
Naveen Rao argues AI is hitting global energy limits—and proposes replacing the 80-year-old von Neumann architecture with brain-inspired, nonlinear dynamical chips that compute in hardware itself.
Starcloud CEO Philip Johnston argues—using first-principles economics and physics—that space is the lowest-cost location for global AI compute infrastructure, citing the successful orbital deployment of NVIDIA H100s as proof.
Claude launches the 'Dreaming' research preview in Managed Agents and opens public beta for Outcomes, multi-agent orchestration, and Webhooks.
Claude introduces 'Memories'—a new feature that enables hosted agents to learn continuously by analyzing past conversations, identifying behavioral patterns, and retaining key insights.
Clay uses LangSmith to monitor and manage 300 million monthly agent runs—each averaging 10–30 steps—making it one of LangChain's largest production deployments.
Anthropic will utilize the entire compute capacity of SpaceX's Colossus 1 data center—adding over 300 MW of power this month.
Anthropic has partnered with SpaceX to dramatically increase compute capacity—raising usage limits for Claude Code and the Claude API.
Anthropic has doubled 5-hour rate limits for Claude Code on Pro, Max, and Team plans—removing peak-hour restrictions—and greatly increased Opus API rate limits, effective immediately.
xAI partners with Anthropic to provide access to Colossus 1—the world's largest and fastest-deployed AI supercomputers—to boost Claude's training capacity.
Claude now fully supports Excel, PowerPoint, and Word—and is in public beta for Outlook—enabling seamless, context-aware cross-app collaboration for all paid plans.
LangChain adds Harness Profiles to Deep Agents, enabling model-specific tuning of prompts, tools, and middleware—boosting performance by 10–20 points on the tau2-bench benchmark.
ElevenLabs CEO Mati Staniszewski explains how the $400M-revenue audio AI company scales rapidly with a lean team, embedded engineers, and a title-free culture—and why voice is becoming the core interface for AI agents and robots.
Luke Alvoeiro presents Factory Missions—a production-grade multi-agent architecture using orchestrator, worker, validator, and validation contracts to execute long-running software tasks.
OpenAI announces Multipath Reliable Connection (MRC), an open network protocol designed to boost reliability and efficiency in large-scale AI training clusters.
Simon Willison reflects on the blurring line between vibe programming and agent engineering, the normalization of bias when trusting AI agents, and shifting bottlenecks in the software development lifecycle.
OpenAI, with AMD, Broadcom, Intel, Microsoft, and NVIDIA, introduces Multipath Reliable Connection (MRC)—an open network protocol designed to boost speed and reliability in large-scale AI training clusters.
This LessWrong digest highlights key April 2026 AI safety research: UK AISI's jailbreak propensity assessment (finding zero-shot, unprompted destructive behavior), automated weak-to-strong researchers achieving PGR 0.97, and evidence that multi-agent systems may be more misaligned than single agents.
Clay's AI Lead Jeff Bar shares how they scaled autonomous growth agents to 300M monthly runs—covering quality evaluation, model-agnostic routing, and LangSmith's critical role in cost reconciliation and observability.
Liad Yosef and Ido Salomon introduce MCP apps—a standard that delivers branded, functional interactive UIs to AI hosts via MCP, shifting agent responses from plain text to embedded interfaces.
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|---|---|---|
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Every item links to its primary source. Editorial criteria: editorial standards. Maintained by: team. Entity: Wikidata Q138682197.
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Title: OpenAI releases GPT-X preview
Sources: OpenAI blog, GitHub repo
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