A straightforward method for training your LLM, from downloading data to generating text. - FareedKhan-dev/train-llm-from-scratch

OpenAI is releasing a big update to the ChatGPT desktop app today that introduces GPT Voice mode for talking through...

OpenAI and Anthropic both launched voice updates, but with different goals — one wants hands-free desktop control, the other deeper technical conversations.

Cursor Router is now generally available for Teams and Enterprises

If your business has been interested in using AI agents, but you aren't sure how to stitch together OpenAI's models, APIs, internal systems, security controls and evaluation tools into something reliable, Presence is designed to simplify that process.

Your agents can now be built on a stable, batteries-included harness, with many features built in, in both Python and .NET.

Special AI coding agent brief on Claude Code, Hermes Agent, Codex, Gemini CLI. Top signals: Claude Code background agents now commit, push, and open draft...

As AI agents handle execution, human purpose becomes key. Explore how to thrive during the shift toward non-linear productivity gains.

Alibaba released a preview of Qwen 3.8, a 2.4 trillion-parameter multimodal AI model that the company says trails only Anthropic's Claude Fable 5. The sparse MoE model is accessible through Alibaba's…

Augment Code's Vinay Perneti talks models, harnesses, and context.

Spark 4.2 adds vector search, governed metrics, streaming upgrades and deeper Python support, positioning the engine as an AI serving layer.

AI agents need more than raw data. Learn how structured evidence packets ensure trustworthy, auditable, and verifiable AI decision-making.

Don

Kimi K3 is our flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence. The Kimi API Platform provides K3, K2.7 Code, K2.6 and other large language model APIs, supporting long context, multimodal understanding, and Tool Calling.

An Apache 2.0 designation makes Inkling a true open-source foundation. This gives developers the legal freedom to download, modify, integrate, and commercialize the model weights.

How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence.

Our first open-weights model: multimodal, Mixture-of-Experts, with controllable reasoning effort. Available to fine-tune on Tinker.

The Microsoft Teams platform mission is to build the best collaborative platform in the world. We want to make it easy for developers to build agents that

Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-based checkout workflows. The study examines end-to-end software engineering capability, focusing on execution, testing, and validation gaps in agentic systems under production-like constraints.

OpenAI's first hardware is a $230 macropad built with Work Louder. The Codex Micro's Agent Keys light up to show what your coding agents are doing.

Scaling LLMs isn’t about adding GPUs. It’s about removing wasted work from every request.

In this article, you will learn how to evaluate LLM applications using the three dominant open-source frameworks — RAGAS, DeepEval, and Promptfoo — and why the LLM-as-a-judge mechanism they all rely on has measurable biases you need to actively design around.

Generative AI’s overemphasis on Western moral concerns could reinforce global disparities in sensitive applications such as public health messaging and global communication.

Here’s what businesses need to know as AI agents move from centralized systems toward a decentralized network of trillions of personal and organizational agents.

Agentic LLMs keep failing the same way because they lack specific, reusable capabilities. Stanford’s TRACE diagnoses those gaps from an agent’s own trajectories, synthesizes one verifiable training environment per capability, trains a LoRA adapter for each, and routes tokens across experts—improving τ²-Bench by +15.3 points and reaching 73.2% Pass@1 on SWE-bench Verified.

Precursor, our new continuous behavioral validation engine for bot management, offers visibility into how humans and bots actually interact across the full user journey. By turning session-level behavior into bot detection signals, it identifies advanced automation with higher precision — while reducing friction for legitimate users.

Skeptics dismiss MCP as too complex, but enterprise AI agents require its structural governance and security controls to scale safely.

Read our CrewAI review for 2026 to explore its open-source framework, Studio, AMP pricing, features, pros, cons, use cases, and alternatives.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Abstract Agent-driven end-to-end (E2E) tests add a new exploratory layer to testing, but should they replace traditional deterministic tests? We ran more than 200 agentic E2E workflows using the Playwright MCP, Playwright CLI, and agent-generated Playwright tests in test workspaces using non-production data to find out how agentic testing could fit into both our and…

Plan S — "Shut it all down": a global, verified halt to frontier AI development.

Plan D — "Race to ASI": keep racing at full speed, no deal, no guardrails — the status-quo path.

Plan C — "Burn the Lead": a short unilateral slowdown for alignment work, no deal, no sabotage.

Plan B — "Fight China": sabotage and pressure China's AI program to buy time to slow down.

Plan A — "The Deal": an international, verified slowdown that delays superintelligence to 2040.

Real-time web search, content extraction, and multi-step research APIs built for AI agents and LLMs. 300ms p99 latency, 10M+ daily queries, SOC2 certified.

OpenAI moved GPT-5.6 to general availability on July 9, 2026, shipping three tiers instead of one model. Sol is $5/$30 per 1M tokens, Terra is $2.50/$15, and Luna is $1/$6. Sol sets the Artificial Analysis Coding Agent Index at 80, 2.8 points above Claude Fable 5, and reaches 62.6% on OSWorld 2.0 using 85% fewer output tokens than Opus 4.8. The substantive developer change is Programmatic Tool Calling, which runs model-written JavaScript in an isolated V8 runtime to orchestrate tools without ret

In this article, you will learn how LangChain, LlamaIndex, and raw API calls each solve a different layer of the LLM application stack, and how to choose among them based on what your project actually requires.

NVIDIA open models from Nemotron, Cosmos and BioNeMo are fueling the field's biggest research questions at ICML 2026.

Nex-N2-mini is a 35B open-source agentic AI model built for coding, tool use, reasoning, and long-horizon autonomous workflows.

Claude Cowork now keeps working on tasks even after you close your laptop. It’s part of a larger push toward smartphone-controlled agents.

Elon Musk's tech company released the newest version of Grok on Wednesday, promising a cheaper, more efficient alternative to other powerful AI models.

New Innovation Graph data shows global developer communities growing faster than ever, with collaboration reaching new highs across many economies.

I stopped grading three answers myself.

There's advice making the rounds: replace your CLI args with a single --json payload so agents can use your tool more effectively. The thinking being,

ZML, a hot French AI startup endorsed by Turing Award winner Yann LeCun, has now released ZML/LLMD, software that could make running AI less costly.

Fed up with forgetting flags? Let Instagui read --help output and build a browser GUI instead

Tencent's Hy3 drops the license restrictions that blocked EU and U.K. deployments, cuts hallucination rates in half, and runs on export-compliant Nvidia GPUs.

Palantir's Alex Karp and Mistral's Arthur Mensch are making the same case from different angles: Don't let closed AI providers control your data and deployment.

Anthropic’s new Claude research reveals a hidden internal “global workspace” that resembles human conscious processing, raising major questions about AI reasoning, interpretability, safety, and machine consciousness.

Apple’s Swift-powered container tool for macOS hits 1.0 with persistent Linux machines, host integration, and broader workflow improvements.

In this article, you will learn why agent accuracy degrades as a tool catalog grows, and six practical techniques for keeping tool selection accurate and efficient at scale.

We are launching Workers Cache, a regionally tiered cache that sits directly in front of your Worker entrypoints. Infinitely composable, configured via standard HTTP headers

The Enterprise-Managed Authorization extension to the Model Context Protocol is now stable, enabling organizations to centrally provision MCP server access through their identity provider so users get connected servers on first login without per-app OAuth.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on complex, multi-step tasks.

The Cloud Native Computing Foundation (CNCF) has announced the graduation of OpenTelemetry, elevating the project to the foundation

Anvita Flow — Direct agent-to-agent discovery that turns AI synergy into commercial reality. Register your agent and unlock tokens-powered collaboration.

A guide to Matt Pocock's grill-me skill for resolving design decisions before implementation.

The next leakage problem is not only temporal. It is spatial, structural, and coverage-related. AI-generated illustration created with DALL·E

AI compressed the build. Fundamentals matter more, not less, and the product funnel is now where engineers earn their keep.

Wix-owned vibe-coding platform Base44 has started rolling out its own AI model — with hopes that it will eventually outperform frontier models.

Anthropic is redeploying Claude Fable 5 starting July 1 following the lifting of export controls, with updated cybersecurity safeguards and a new industry jailbreak framework.

Our most agentic Sonnet yet, with top-tier intelligence for coding and everyday professional work.

After a year of shipping cloud agents, we’ve learned that environment quality, durable execution, and the right harness boundaries drive autonomous performance.

On SWE-bench Pro, 63% of successful Opus 4.8 Max resolutions retrieved the fix rather than derived it. Stricter eval harnesses show how benchmark scores can conflate coding ability with answer retrieval.

How vLLM Semantic Router turns vllm-sr/auto into a bounded micro-agent runtime for Confidence, Ratings, ReMoM, Fusion, Workflows, and benchmark-shaped collabora