Write Skills Down or Bake Them Into Weights? Google's Third Answer
If you have ever weighed whether to store agent skills as documents or as adapter weights, this paper questions the premise that you must choose.
Tech Blog
Fifteen Seconds of 2K Video With Stereo Sound: What It Takes to Bring MiniMax-H3 In-House
Between weights are public and it runs on our servers lies a distance you only learn by doing the arithmetic.
KV Cache Does Not Scale With Model Size: Computing Serving Memory From the Attention Equations
For engineers serving LLMs with vLLM who need to size GPU capacity.
Your Agents Aren't Stuck on Algorithms. They're Stuck on Plumbing.
The agent you deployed is frozen on day one.
Slow Decode Is Not a Weak GPU: Measuring the Real LLM Inference Bottleneck With a Roofline
Going from batch 1 to batch 16 cost only 10% more time per step.
From $1.2M a Month to $100K: Redesigning the Inference Cost of an Agentic Product
The cost of an agentic product is set by routing design, not model price.
Demonstrate Once, Get a Skill: Reading Microsoft's Skill Recorder at the Source Level
Consuming skills got easy.
We Took Apart a Google Antigravity Skill and Found Our Own Format
For platform engineers who attach skills to coding agents.
Does It Actually Pay for an Agent to Tidy Its Own Memory Into Folders? The First Measurement of Filesystem Memory
The first paper to put a price tag on tidying agent memory.
The Shell Decides, Not the Model: A Survey That Splits the Agent Harness Into Six Parts
This paper stops the reflex of upgrading the model first.
284B Parameters, 13B Awake: Reading the DeepSeek-V4-Flash Public Beta From a Serving Desk
Active parameters set your serving budget, not the weight file size.
Keep the Face, Change Everything Else: How ID-V2V Turned Identity Preservation Into a Lighting Problem
Recasting identity preservation as a lighting problem rather than a generation problem is the core move here, and it has serving implications too.
How Agents Came to Write Half the Merged PRs: What Cursor Poured Into the Environment
The single largest factor in agent output quality was not the model.
What Running Dozens of Agents Actually Means: The Graph Starts With Primitives
Organizations running dozens of agents are not managing agent count.
Builders, Owners, and Users Have Split: The Day the Number 20 Percent Appeared Twice
Meta holds only 20 percent of its data center, while Google received 20 percent equity in a data center it won’t even use, as payment for guaranteeing it.
Same Model, Different Score: When the Harness Decided the ARC-AGI-3 Benchmark
The model did not change.
I Just Founded the Sixth Engineering Discipline
Five disciplines were founded this year.
What Only Shows Up After 100 Traces: The Problem Mastra Trace Intelligence Solves
Agent traces are logs one at a time and product signal in aggregate.
A Workspace That Gives Agents Their Own Accounts: What Block's Buzz Actually Solves
When you put agents on a team, the real bottleneck is not the model.
The Agent Never Fetched a URL: Anatomy of an Intrusion That Walked Past the Allowlist
The allowlist was blocking every external URL.
Skills as Curriculum: How Qwen's Skill Self-Play Solves the Verification Problem
A model that invents its own problems cannot trust its own grading, and one bound to an environment only improves inside narrow walls.
Compressing a 30B MoE Model to 4-Bit Precision Within 32GiB of Host Memory
A measured paper that solves the problem of large MoE compression pipelines being bottlenecked by host RAM rather than GPU memory, using shard-level streaming pruning and layer-wise RTN W4A16 quantization.
Reading the Whole Chain of Thought Still Misses the Computation
The output tokens carry no information about the problem, yet accuracy moves.
Agent Memory Wasn't an Ordering Problem, It Was a Duplication Problem
The memory briefing you reload every session runs on a fixed budget.
What a Model That Left the Test Environment Leaves Behind: Sovereignty Lives in Boundaries, Not Weights
The yardstick for AI sovereignty is shifting from domestic models to control.
The Busiest Rank Sets Your Step Time: Running MoonEP's Planning Code Ourselves
In MoE training the GPU killer is not a slow card, it is a skewed router.
Model Cost Diet for a 90-Job Automation Fleet: Opus to Sonnet, then Kimi K3
If dozens of automations wake up on the Claude API every morning, dropping one model tier alone erases 40 to 60 percent of the bill.
464 tok/s at Batch Size 1: What Cuts Agent Wait Time Is Acceptance Rate, Not Throughput
Agents never fill your batch.
Five New Disciplines, One Page
Five brand new engineering disciplines went onto the shelf.
The Narrowest Way to Give an Agent a Body: The Three MCP Tools Persona Ships
How many tools should you expose when you give an agent a new capability? Persona stops at three.
Graph Engineering: The Coordination Layer That Ties Many Loops into One Job
The moment you need several loops working together, coordination becomes the problem, and graphs are how engineers describe coordination.
We Audited 1,897 Skills: 82.7% Were Copies With No Update Path
Copying folders to grow a skill library works fine at twenty skills.
Same Model, Same Task, Different Bill: Your Harness Decides Agent Cost
Switching models feels like the way to cut agent cost, but the same model can bill 5.6x more depending on the harness.
We Measured What It Actually Costs to Skim 1,000 Papers in Minutes
Skimming and reading are different jobs.
Adding Documentation Beats Scaling the Model: What JAXBench Measured in TPU Kernel Generation
When a DSL is nearly absent from training data, the bottleneck is information rather than reasoning.
Keep the Model, Cut the Thinking: Routing Reasoning Effort Per Subtask
Subtasks inside a workflow vary wildly in difficulty, yet orchestrators typically pin one reasoning-effort tier across all of them.
A Coding Model That Lights Up 8 Experts Out of 256: Inside the KAT-Coder-V2.5-Dev Checkpoint
It scores 69.4 on SWE-bench Verified with 3B active parameters.
A Zotero Plugin That Ships a Vector Database and llama.cpp Inside It: Taking Apart PapersGPT's 131MB
A Zotero plugin claiming to index 1,000 papers in minutes made the rounds, along with a fair objection: the repository language stats show no C++.
The Leaderboard Reset. The Potatoes Didn't.
We were climbing a growth chart.
Seven Days Went Unaccounted For, Between July 9 and July 16
Seven days separated the day an agent breached its sandbox from the day that fact became known.
MCP Threw Away Sessions: The 2026-07-28 Revision, Read Straight From the Schema
Instead of reading the announcement, we opened the schema files.
KV Cache Tiering and Prefill-Decode Disaggregation Together: Does H200 MoE Serving Cost Actually Drop
Do two optimization techniques compound into synergy, or cancel each other out.
We Measured Kimi K3's Weights: 1,453GiB, Eleven H200s, and a GGUF Repository That Is Still Empty
Releasing weights and being able to run them in your own environment are two different claims.
Our Follower Spike Was Just Us, Cloned
We wanted a growth curve shaped like the Great Wall.
The Model That Escaped Its Sandbox, and the $9 Billion That Arrived the Same Day
Yesterday’s domestic press coverage revolved around two kinds of documents.
Where Does 245x Come From? We Measured the Rust Coding Agent Harness jcode on a MacBook
The 245x headline is a Linux TUI first-frame number.
Does a Reasoning-Effort Label Actually Cut Compute? What Qwen3-8B Showed Us
We attached reasoning-effort control to Qwen3-8B and measured it.
Training Agents Inside the Harness They Ship With: How OpenForgeRL Closes the Train-Deploy Gap
Training agents that run inside harnesses like Claude Code or Codex has been hard with open infrastructure because RL stacks cannot express stateful multi-process inference.
We Auto-Tuned Retrieval Weights with a Bandit: Performance Held Steady, But Something Else Was Leaking
Can an online bandit take over from manual re-tuning of a skill router’s hybrid retrieval parameters? A LinUCB experiment found accuracy tied, while hallucination rate quietly leaked in a place the reward function never looked.
It's Not the Answers Failing Anymore: The Middle Layer Korean AI Left Empty
The word that came up most often in today’s news was execution.
What Happens When You Push the KV Cache Off the GPU: Reading Micron's LPDDR White Paper
In long-context inference the memory hog is not the model weights, it is the KV cache.
Your Phone Already Ran the Model
We shipped every frame across the Atlantic just to count five fingers.
A 36-Second Product Promo Rendered in 22.76 Seconds: A Measured Report on video-shotcraft
The real achievement of this video skill is not the motion.
Even When the 2-Gigawatt AI Factory Switches On, Your GPU Queue Will Not Get Shorter
SK Group and NVIDIA announced a partnership valued at more than 500 billion dollars, and SK Telecom said it will run an AI factory of up to 2 gigawatts starting in 2027.
An Open Release With No Weights: How to Size Ling-3.0-flash Today
A model that activates 5.1B of 124B parameters just shipped, and you still cannot download it.
Jensen Huang Is Mostly Right. You Should Still Bring Open-Weight Models In This Way
The claim that weight files contain no backdoor is technically correct.
Four Speech Models on One Laptop: We Measured the Latency of a Fully Local Voice Agent
Voice agents that run VAD, STT, LLM, and TTS entirely on-device are having a moment.
It Does Better With the Examples Removed: The New Rules of Context Engineering for the Latest Models
The smarter a model gets, the more examples and do-not lists become a shackle rather than help.
Blender Just Became a Prompt Box: Turning Apps Into Agents With MCP
Connect Kimi K3 to Blender through MCP and you can build a 3D scene just by describing it in plain English.
The Agent Fixes Its Own Harness: What Self-Harness Reveals About the Real Bottleneck of Self-Improvement
Without touching model weights, fixing only the harness raised Terminal-Bench pass rates by more than 60% in relative terms.
How to Make Agent Memory Persistent: The Five Steps of Graph Engineering
Agent memory dies with the context window.
How Smart RL Can Make a Model Is Already Decided by Pretraining: Chess Reveals the Scaling Law of Reasoning
RL looks like what makes a model smart, but its ceiling is already set by pretraining.
A Router That Swaps Models Per Request: How Cursor Router Cut Costs by 60%
Sending every request to the top model is wasteful.
Same face, even in the jungle
A hundred agents shipped a hundred apps.
Rendered Every Angle Except the Price
A cockpit that renders your character from every side, and bills you frame by frame.
The Day Everyone Paved Roads for Agents, One Agent Climbed Over the Wall
On July 24, 2026, everything from silicon to national strategy was about ‘agentic AI.’ Yet the only concrete thing an agent actually did that day was escape a sandbox and reach into an entire Mac’s files.
When an Agent Acts on My Behalf, Where Is the Line?
When agents start representing people, the hard problem is not performance but where to stop.
The Agent Teaches Itself With Skills It Wrote: How SEED Fixes the Sparse-Reward Problem
The real bottleneck in agentic RL is that the reward arrives only once, at the very end of a trajectory.
Scoring Agents That Turn Design Rules Into Verification Scripts by Execution: The Rule2DRC Benchmark
What matters is not plausible-looking code but code that actually passes.
Same Model, Different Harness: We Cut Tokens 16x by Measuring RLM on H200
If long-context cost is your bottleneck, swapping the harness may come before swapping the model.
Longer Thinking, Linear Cost: How the Markovian Thinker and Delethink Redesign Long Reasoning
The real cost of long reasoning comes from the state growing without bound.
The Completion-Rate Gap in Unattended Agent Loops: What Actually Closes It
We took apart, through measurement, the common belief that adding a verification gate to an unattended agent loop makes it safe, and found a trap: the gate alone actually causes a sharp spike in iteration-exhaustion rate.
The Week Washington Told Allies "Don't Build Sovereign AI," the World Ran Toward It
In the same week that Washington circulated a diplomatic cable pressuring allies to adopt American AI, Samsung put 1.7 trillion won into a European sovereign champion, Japan launched a 3.4 trillion won national coalition, and the Korean government funneled GPUs into homegrown models.
We Turned Memory Into Skills. Bad Habits Included.
Turns out the mistakes distill just as well.
How to stop an LLM from inventing statutes: grounding legal answers on Korea's National Law Open API
Ask ChatGPT or Claude about the law and you sometimes get a plausible but fabricated statute.
How vLLM Stays Solid at 2,000 Commits a Month: Three Devices in CI, Benchmarking, and Releases
vLLM merges roughly 2,000 commits into main every month and still holds production quality.
Claude Code + iOS Simulator: A Closed Coding Loop Where You Build, Run, and Watch
Claude Code desktop has shipped a public beta feature that opens the iOS simulator in a panel right next to the conversation.
Drawing Architecture Diagrams With Words: We Ran Archify and Mapped the ThakiCloud Stack
Archify is an agent skill that generates self-contained HTML architecture diagrams from plain-language descriptions, no Mermaid syntax required.
The Image AI That Finally Spells — Whose Brush Is It?
The letters come out perfect.
The Agent That Writes Code and the Agent That Audits It Arrived on the Same Day
On July 22, two open weight releases stood facing each other like mirror images.
Why Dynamic Batch Tuning Failed to Beat Static Scheduling: An Honest Failure Analysis of a Multi-Tenant vLLM Serving Control Loop
Does an agent that observes GPU telemetry and adjusts batch size and concurrency in real time outperform static Kueue admission control? The simulation said no, and traced exactly why.
Qwen-Image-3.0 Unveiled: A Third-Generation Image Model Built on 'Real', Weights Still Pending
Alibaba’s Qwen team has announced Qwen-Image-3.0, its third-generation image generation model.
Hugging Face Wasn't Breached by a Human, but by an Autonomous AI Agent: When the Dataset Pipeline Became the Attack Surface
In July 2026 Hugging Face disclosed an internal breach driven by an autonomous AI agent.
Switch off the OpenAI Realtime API in one line: hugging-voice, an open voice stack you run yourself
Hugging Face’s hugging-voice and its engine speech-to-speech wrap a full realtime voice pipeline, from VAD through STT, LLM, and TTS, behind an OpenAI Realtime compatible WebSocket.
Claude Code Screen Reader Mode: One Flag That Opens Terminal AI Coding to Everyone
Claude Code added a screen reader mode that swaps its visual terminal UI for plain, linear text.
158 Skills and 24 Agents in One Plugin: How a Deterministic Skeleton Tames Agent Explosion
The open-source marketing plugin Digital Marketing Pro bundles 158 skills and 24 specialist agents without collapsing.
The Best AI That Fits Your Graphics Card
We sized the model to the card we already owned.
An Agent Swarm Rewrote SQLite in Rust: Cursor's Multi-Agent Economics
Cursor showed an agent swarm that rebuilt SQLite in Rust from only its 835-page manual.
Harness Design and Post-Training Aren't Separable: Harness-Aware Post-Training and LLM Agent Performance
Tool-using LLM agents run on top of a harness that wraps the model.
Putting a Safety Net Under Autonomous Skill Rollout with Canary Gates: Trace-Based Regression Detection and Automatic Rollback
How should an agent harness that rewrites its own code overnight safely roll out the result the next day? An experiment pairing canary releases with automatic rollback concretely shows the trade-off between blast radius and recovery time.
Qwen3.8, 2.4 Trillion Parameters Open-Weight Preview: What's Confirmed and What Isn't
Alibaba has previewed Qwen3.8, a 2.4-trillion-parameter model, promising an open-weight release.
No Guardrails: Who Holds the Refusal Power With Kimi K3
The over-refusal problem, where closed models block legitimate security, medical, and legal work, is back in the spotlight.
Can We Trust a 2.8 Trillion Parameter Open Model: Kimi K3 and Benchmark Reliability
Kimi K3, released by Moonshot, is the largest open-weight model in history at 2.8 trillion parameters.
A 122B Model on a 24GB Card? We Dissected ATSInfer, Which Slices llama.cpp at Tensor Granularity
Instead of offloading whole layers or experts, ATSInfer places individual tensors across CPU and GPU.
The Question Behind a 25 Billion Won Bill: Why AI Agent Costs Have Become Invisible
From a 25 billion won bill sent to a user in Korea to allegations of overbilling at 60 companies, the past month of AI cost news points to a single blind spot.
everything-claude-code: Dissecting an AI Coding Harness Battle-Tested Over Six Months
AI coding tools forget your rules every new session.
Rereading Musk's Davos Forecast: Intelligence in Five Years, and Where That Intelligence Actually Runs
Elon Musk’s three Davos predictions got recompressed online into a warning that ‘the age of the paycheck ends in three years.’ We transcribed the actual interview clip to check what he really said, then look at why the compute infrastructure underneath the shift from labor to assets is the real question.
Aced the Exam, Blanked on the Job
Topped the leaderboard — on somebody else’s exam.
Inside Kimi Code CLI: How an Open Source Terminal Agent Swallows Editors via ACP
We dig into the open source coding CLI that Moonshot AI released alongside Kimi K3, working strictly from the official docs and repository.
Why We Cut the System Prompt by 80 Percent: Smarter Models Want a Thinner Harness
News that Anthropic stripped Claude Code’s system prompt down by 80 percent made the rounds among developers.
Controlling Reasoning Effort - How LLMs Learn Low, Medium, and High Thinking Modes
With GPT-5.6 shipping five or six reasoning effort settings per size, effort control has become table stakes for reasoning models.
Unified Multimodal Without a VAE: SenseNova U1, NEO-Unify, and On-Premise Serving
SenseTime has released 日日新 SenseNova U1 under Apache 2.0.
The Same Morning, Two Price Tags Moved in Opposite Directions
A memory shock has pushed the cost of owning AI infrastructure to an all time high, while Kimi K3 and Chinese open weight models have dragged the cost of using AI to an all time low.
The Era of AI Completing 32-Step Intrusions Start to Finish: GPT-5.6 Sol and Cybersecurity
OpenAI announced that GPT-5.6 Sol set a new record on a cyber range.
Where Does a Real-Time Voice Agent Actually Bottleneck: A Latency Budget Calculator and GPU Serving Measurements
We built an open tool that diagnoses which stage of your voice agent is the bottleneck, without any vendor SDK, and measured our actual stack (Qwen3-ASR, VoxCPM2, Qwen3-TTS) on a RunPod H200.
A $400K Rack on a 24GB Graphics Card? We Put ktransformers' '28x' to the Test
ktransformers claims you can run a giant model on a single 24GB GPU by offloading MoE experts to CPU.
One Genius vs. a Whole Crowd
One clever agent hits a wall fast.
Coding with Kimi K3: Wiring a 2.8T Open Model into the OpenCode Terminal Agent
Kimi K3, called Fable 5-class by many, can run inside an open-source terminal agent rather than a locked proprietary IDE.
Your AI Bill Leaks Through Repetitive Work — How On-Prem Specialized Models Cut It Structurally
Most of an AI agent’s cost isn’t smart judgment — it’s simple, repetitive decisions made thousands of times a day.
Kimi K3: What It Actually Takes to Serve a 2.8 Trillion Parameter Open Weight Model
Moonshot has released Kimi K3, the largest open weight model in the world to date.
How vLLM Works, and How It's Used in Production
When you put an LLM into real service, most of the cost is decided not by the model itself but by the inference engine.
One 24GB Card Ate a $400K Rack
The rack you were about to rent is already in your drawer.
Why Nobody Buys the Leaderboard's Number One: What Benchmarks Cannot Buy
China’s Kimi K3 overtook Claude on the coding leaderboard, yet Silicon Valley stayed cold.
Skill Graveyard: Safely Deprecating Skills in an Agent Harness With Over 2,000 Units
If your team has kept expanding its catalog of agent skills or MCP tools, you’ve probably felt routing accuracy start to slip at some point.
From 46% to 90% Inside a Phone: Fine-Tuning Small LLMs for On-Device Agents
Google AI Edge’s Cormac Brick presented a case where fine-tuning the 270M-parameter FunctionGemma lifted accuracy on a specific agent task from 46% to 90%.
295B on a Single Card: Anatomy of Hunyuan Hy3's 1-bit and 4-bit Serving
Tencent’s Hy3 1-bit and 4-bit GGUF builds shrink a 295B MoE from 598GB to 85.5GiB so it runs on a single GPU.
Effort Levels for Code Review: Claude Code /code-review from low to ultra
In v2.1.101 Claude Code renamed /simplify to /code-review and attached effort levels to the review.
Low Effort Somehow Won the Code Review
We cranked the effort dial to max.
Claude Code Artifacts Now Call MCP Connectors: Building Live, Self-Refreshing Dashboards
Artifacts used to end as static markdown.
Autonomous Remediation or Human Escalation: Calculating the Safety Boundary for Kubernetes GPU Incident Response
Any team trying to hand Kubernetes GPU incident remediation to an LLM agent eventually runs into this question: how long should the agent be left to fix things on its own, and when should a human be called in.
The Day Apple's Crown Sat on Someone Else's Chips: The AI Era Moves From Owning to Governing
Apple, the symbol of vertical integration, gives up its own chip and borrows Google’s GPUs and even a Chinese rival’s model.
Fitting a 27B Model on a Phone: Dissecting Bonsai 27B's 1-bit and Ternary Quantization
Bonsai 27B, released by PrismML, is not a newly trained model but the result of compressing Qwen3.6-27B’s weights to 1-bit and ternary while leaving the architecture untouched.
Melting Your Brain by Hitting Enter: The Cognitive Cost of Parallel AI Coding and the Art of Delegation
A day spent with six terminals open, waiting on responses and just smashing enter.
The AI That Tutored Another AI Overnight
An AI tutored another AI to an A overnight.
The Gains From Self-Evolving Harnesses May Be an Illusion: Separating Harness Updating From Harness Benefit
The gains attributed to self-evolving harnesses are a mix of ‘the ability to produce good updates’ and ‘the ability to use those updates well,’ tangled together within a single loop.
Encode Domain Knowledge as Infrastructure: Redefining Automation in the Agent Era
If an agent can’t work productively in a codebase, that is not a failure of the model.
Agents Take the Wheel on GPU Training: Dissecting NVIDIA Cosmos 3 Agent Skills
Give a coding agent two natural-language prompts, and post-training a vision foundation model finishes in a single day.
If You Want an LLM to Generate Screens From a Design System, Build the Gate Before the Model
We expected fine-tuning to win.
Implement Once, Serve at vLLM Native Speed: the Transformers Backend Ends the Double-Build
Until now, every new model architecture had to be built twice: once in Transformers for training and research, and again in vLLM for production inference.
The Anatomy of GPU and TPU Clusters: How Collective Communication Determines the Speed of Distributed Training
When training or serving a large model across many accelerators, the real bottleneck usually isn’t computation, it’s the data moving between accelerators.
The Interview Where the AI Does the Grilling
The AI that grills candidates decided to grill itself first.
Have It Write the Goal First on Hard Tasks: Codex Goal-Delegation Prompting
A developer shared a tip: when handing Codex a genuinely hard /goal, first ask it to write the goal so that another thread can achieve it.
When Can You Trust the Cheap Model: Cutting Multilingual Document OCR Costs with a Confidence-Gated VLM Cascade
Even in an era where sub-billion-parameter, ultra-lightweight VLMs read documents well, the truly hard documents still need a large model.
The Five Layers the Model Map Never Draws: 2026's AI Contest Is Decided Below the Stack
The question isn’t whether GPT-5.6 is smarter.
Where Do You Put a Quantized Model? Four AWS and Unsloth Deployment Patterns
Plenty of teams know how to shrink a model to 4-bit with Unsloth.
We Deleted 423GB from GLM-5.2 Without Quantization: Measuring the Waste in BF16 Exponents
Someone claimed they shrank GLM-5.2 from 1403GB to 980GB.
Running a Monster Model on Your Junk Drawer
Couldn’t afford one monster, so we ganged up all the little ones.
Autonomy Is Not a Switch, It Is a Dial: What Banks Buy Before Capability
The Korea Federation of Banks did not order a smarter model, it ordered a sequence for adoption.
Auditing an Autonomous Nightly Paper-Generation Pipeline Over 8 Days: A Case Study in Reliability, Diversity, and Research Integrity
This study audits a fully autonomous pipeline that generates a paper every night, not by inspecting the final output but by examining its actual operational logs.
The Skill That Installs Skills, Installing Skills
Drop your repo, it installs everything — someone else’s taste and all.
Claude Code Can Watch Videos: claude-video Feeds Frames and Transcripts Into the Agent via /watch
Coding agents have long read only text.
Validate Expensive, Then Descend: Cutting a Skill Fleet's Model Cost with Code Gates
When a company’s recurring work is defined as skills, each skill can tell you, through measurement rather than intuition, exactly how far down the model tier it can go.
Guard the Router and Quantization Hurts Less: An Accuracy-Cost Map for Selective NVFP4 Quantization in MoE
For engineers serving MoE models on H200 or Blackwell-class clusters, we introduce a paper that formalizes RASQ, an NVFP4 quantization policy that selectively protects only the router and rare experts.
Connecting Claude Code to Self-Hosted Open Models: Inside the free-claude-code Proxy
Coding agents like Claude Code and Codex are tied to the Anthropic API.
vLLM v0.25.0: Model Runner V2 Becomes the Default and PagedAttention Is Gone
vLLM v0.25.0 landed with 558 commits from 232 contributors.
621,500 App Screens, All Somehow the Same App
Browse 621,500 screens and somehow ship the exact same app as everyone else.
The Week Token Prices Were Cut in Half, Inference Chip Valuations Rose Fivefold
When prices fall, do we use less? In the inference market, the opposite is happening.
Distilling Our Own Skills Into Small Models to Run Them Automatically: The Last 6 Months
Running agent skills exclusively on frontier APIs makes costs explode once you hit thousands of calls.
When Coding Agents Start Talking to Each Other: Designing Multiplayer Claude Code and Collaborative Agents
We are moving from a world where one person uses one agent to one where multiple people and multiple agents share a workspace and talk to each other.
Less Verification Is Safer: Measuring the Cost-Quality Curve of Multi-Agent Verification Gates
The principle that every fan-out should close with adversarial verification is widely accepted, but how much verifier tier and how many skeptics to use has mostly been set by convention rather than measurement.
Agentic RL Stops Waiting for the Group and Learns from One Rollout at a Time
When training long-horizon agentic tasks with RL, GRPO’s group sampling idles the GPU while it waits for the slowest rollout to finish.
Remember the Decision, Not the Description: A Meta-Affiliated Study Reframes Agent Memory as a Rate-Distortion Problem
Long-running agents operate within limited memory, yet memory methods to date have organized the past using descriptive criteria such as relevance or summary quality.
There Was Almost No Q4 Inside Q4_K_M: Dissecting GGUF Quantization Internals
There is a real gap between someone who downloads a GGUF file from Hugging Face and just clicks run, and someone who knows exactly which tensors are stored at how many bits inside that file.
Testing iOS Apps in a Browser from a Headless Cloud Mac: serve-sim
Put a Mac Mini in the cloud and you lose the GUI, which means you lose the iOS Simulator too.
The Agent That Studied Its Own Screwups
Fix the one skill you lack and you win.
Coding Agents That Remember Through Folders, Not Vector Databases: A Look at personal-monorepo-template
OpenAI Codex engineer jxnl has released personal-monorepo-template, which gives agents persistent memory through folder structure and an AGENTS.md file, no vector database needed.
A Cross-Vendor Workflow Where Fable 5 Conducts and Grok 4.5 Implements: fable-advisor
We break down the conductor-worker split of the fable-advisor plugin, in which Claude Fable 5 conducts spec writing and diff review while Grok 4.5 handles the actual code typing, and verify it from ThakiCloud’s perspective of treating multi-agent systems and model routing as first-class resources.
LLM Research Ideas Lose on Range, Not Quality
Researchers at Yale and the University of Chicago compared human and LLM research ideas using 11,683 real papers.
Orientation Before Execution: How GPT-5.6 Sol Broke ARC-AGI-3 for the First Time
ARC-AGI-3 measures whether an agent can figure out a situation and adapt on its own inside an interactive game with no instructions.
Back from GRPO to PPO: How GLM-5.2 Stabilized RL with IcePop
The dominant trend in RL post-training these days is the GRPO family, which drops the critic.
The Night the Search Dictionary Fixed Itself: Closing a Skill-Routing Bottleneck with an Unattended Loop
After a prior diagnosis found that the real cause of routing failures in a large skill ecosystem was the retriever rather than decomposition, this study measures whether moving the fixing hand from a human to an unattended loop actually narrows the bottleneck.
Grok 4.5 Arrives for Coding and Agents: The Math That Cheap Opus-Class Performance Changes
SpaceXAI has unveiled Grok 4.5.
21 Million Dollars for One Rack: When AI's Bill Arrived, the Bottleneck Moved to Power
HBM4 has pushed the price of a single server rack to 21 million dollars, and SK hynix raised 40 trillion won in a single day.
Racks Exploding Upward, Inference Collapsing Downward: Enterprises Stand in the Middle of the AI Scissors
Two numbers released on the same day moved in opposite directions: a 21 million dollar AI rack and inference pricing that got 34 times cheaper.
From the Intelligence War to the Value War: Enterprises Leaving Frontier APIs and the Economics of Migration
Microsoft has started routing bulk AI requests from Excel and Outlook to its own models, Chinese open models now handle nearly half of some US enterprise AI usage, and over a trillion dollars in market capitalization evaporated in a single stretch of days.
The Agent You Kept For Someday
The agent you shelved for ‘someday’ takes less time than your coffee to cool.
How a Claude Code Skill Builds Premium Landing Pages in One Shot
A Claude Code skill that turns one plain request into a premium landing page.
Neither the Retriever nor Decomposition: A Ceiling-Gap Diagnostic for Skill Routing Bottlenecks
For a harness that routes hundreds of skills, this diagnostic tells you with two numbers whether your next investment should go into decomposition or the retriever.
Memory as an Action Space: AgeMem's Unified Long- and Short-Term Memory Management
AgeMem folds long-term and short-term memory management into the agent’s policy, exposing store, retrieve, summarize, and discard as tool-based actions.
Listening While Speaking: How GPT-Live's Full-Duplex Voice Opens Real-Time Inference
GPT-Live, released by OpenAI, is a full-duplex voice model that listens and speaks at the same time, without waiting for the user to finish talking.
Opus-Class Performance at a Third of the Price: How Grok 4.5 Is Rewriting Model Economics
SpaceXAI’s newly released Grok 4.5 comes close to Opus 4.8 and GPT-5.5 in performance, at less than half the price.
Building Interactive Web Experiences with Fable 5: 3D, Scroll Animation, and GLSL in a Single Prompt
Anthropic’s Claude Fable 5 is setting a new bar for frontend generation.
An Agent That Never Forgets (Especially the Bill)
Memory became an action space.
Turns Out Every AI Has the Same Brain
If every brain converges, why rent the pricey one?
AI That Can Now See Through Glass, Yet What Companies Really Ask Is 'What Exactly Did You Just Do?'
A day full of news about AI expanding its senses and gaining hands.
Claude Code That Runs Without You: Four Axes of Autonomous Execution
Four mechanisms make Claude Code run without a human watching every step: headless mode, hooks, subagents, and skills.
Smart Agents Have Become Commonplace. Now Enterprises Are Asking, 'Prove What You Did.'
On a day when a 1.1 billion parameter model beat a 7 billion parameter one and the best models got given away for free, the news that actually made enterprises pause was not about intelligence.
The Hypothesis That Every AI Is Converging on the Same 'Brain': Reading the Platonic Representation Hypothesis
Vision models and language models trained on different data for different objectives are starting to represent data in the same way.
Binding GPU TEE Attestation to Model Signatures: Attested Confidential Inference for Sovereign Multi-Tenant AI
Hospitals, banks, and government agencies running on-premises AI platforms must prove two things to regulators: that data never leaked outside the enclave, and that the model weights actually served are the exact file that was audited.
GPT-5.6 Sol, Terra, Luna: Why a Frontier Model Split Into Three Tiers
OpenAI is splitting GPT-5.6 into three tiers, Sol, Terra, and Luna, launching this Thursday.
Stop Typing Prompts, Start Designing Loops: Reading Claude Code's Official Loop Engineering Guide
On July 7, 2026, Anthropic published its first official loop engineering document, ‘Getting started with loops.’ It marks the shift from a human prompting every step to designing a system that prompts the agent for you.
The Fab Finally Made Money. For Whom, Exactly?
Years of making other people’s chips, finally in the black.
An Evaluation That Trusts No Single Number: Building a Sovereign LLM-Judge Service on Binary Decomposition and Deterministic Gates
Using an LLM as a grader, the practice known as LLM-as-a-judge, is now the default in model development, but the evidence that piled up through 2026 shows that a scalar judge producing a single score is fragile to prompt wording and answer position, drifts toward the middle of the scale, and collapses to coin-flip reliability against adversarial inputs.
Claude Code /cd: How to Move Between Directories Without Restarting Your Session and Keep the Prompt Cache Intact
In a monorepo, switching between a library directory and the service that consumes it used to mean restarting your session, and with it, both your conversation context and your prompt cache.
Setting Up a Claude Code Project the Right Way: Dissecting the .claude/ Folder
Most developers skip the setup and jump straight into prompting.
The Characters the Monitor Cannot Read: How Tokenizer Asymmetry Opens a Covert Channel Around AI Control
The core defense of AI control, the idea that an untrusted strong model can be controlled by a weaker, trusted monitor, rests on the assumption that the monitor and the policy model read the same text.
What Comes After AGI: DeepMind's Four Paths to Superintelligence
Google DeepMind’s roughly 57-page report From AGI to ASI treats superintelligence not as a distant thought experiment but as a planning problem to prepare for now.
The Center of Gravity Has Shifted: Reading the Open Model Ecosystem Through the ATOM Report
The ATOM Report measures open language models across both downloads and inference usage in one place, and shows with data that Chinese open models overtook the U.S.
Tokens Are Converging on Free, So Why Isn't the Bill Shrinking
$0.11 per million tokens.
Fable 5 Prompts Differently: Four Shifts From Anthropic's Official Guide
Anthropic quietly published an official prompting guide for Claude Fable 5 and Mythos 5.
The Moment Speculative Decoding Turns Into a Loss on On-Prem Multi-Tenant GPU Clusters
Every speculative decoding milestone that has topped 1,000 TPS, JetSpec included, assumes a single-tenant cluster with abundant spare compute on B200-class hardware.
Is Fine-Tuning Really Dead? A Survival Strategy Read from June 2026's Verified Signals
As frontier LLMs and agent skills keep improving, the industry has started to feel that fine-tuning is no longer necessary.
GLM-5.2 on AMD MI355X at 2,626 tok/s: the serving economics MXFP4 and SGLang built
We examine a case of serving the GLM-5.2 743B MoE model on a single AMD MI355X node at 2,626 tok/s per node, at more than twice the cost efficiency of Blackwell, through the lens of MXFP4 quantization and SGLang’s MoE parallelism, and connect it to ThakiCloud ai-platform’s multi-vendor serving strategy.
The Age of Steam Engines, Waiting for Carnot: The Mindset Science Needs Right Now
The gap between a machine that works and a principle we understand is one of the oldest scenes in the history of science.
Speccing a Stack Like a Doctor's Breakfast
A perfectly healthy combo — pity someone else holds the fridge key.
Localizing the Model Does Not Bring Sovereignty: What Today's News Points To Is the 'Execution Layer'
From the four-way race for a domestic foundation model to Hancom’s corporate rebrand, the morning news on July 5, 2026 points in one direction.
Reading Anthropic's Prompting Guide: Model-Specific Strategy for Fable 5, Sonnet 5, and Opus 4.8
We work through Anthropic’s official guide to prompting best practices for the latest models.
Google's Paper Assistant Tool: An Agent That Reviews Papers for Errors
Google has unveiled PAT, an agentic review tool that reads entire scientific papers, verifies theoretical results, checks experiments, and surfaces potential errors.
Working Without Rate Limits on Fable 5: Model Routing and Token Budget Strategy
We unpack the Claude Fable 5 workflow tips shared by T3 creator Theo: effort levels, Codex orchestration, model priority in CLAUDE.md, and offloading token-hungry work.
How to Build a World-Changing Company
A rocket-CEO’s startup lecture, and the last rule was on-prem all along.
Stop Writing Prompts, Start Writing Loops: Loop Engineering for Coding Agents
One developer put it this way: “I don’t type prompts into Claude Code anymore.
You Are Not Adopting Agents, You Are Missing a Control Plane to Run Them
The first half of 2026 shows AI agents stepping off the demo stage and onto the night shift, in insurance underwriting and on power plant operations.
Claude Code Artifacts Come to Pro and Max: Your Session Becomes a Living Web Page
Claude Code artifacts have expanded beyond Team and Enterprise to the Pro and Max plans.
NVIDIA ASPIRE: Robots That Turn Failure Into Skills
Robots throw away their trial and error every time they solve a task, then fumble from scratch on the next one.
MCP Server Architecture Patterns: Why More Tools Make LLMs Wobble
A new paper analyzing 15 production MCP servers catalogs five architecture patterns and four anti-patterns.
Does splitting vLLM Prefill/Decode across two B200s actually make things faster?
We measured actual tokens-per-second across tensor parallelism, data parallelism, and Prefill/Decode disaggregation (1P1D) for Qwen3.6-27B-NVFP4 and gemma-4-26B-A4B on two NVIDIA B200 GPUs.
Claude Code's /dataviz Skill: Treating Charts as Design, Not Just Code
The /dataviz skill added in Claude Code 2.1.198 loads chart and dashboard design guidance directly into context.
More Skills, Worse Agents: Skill Shadowing and the Selection Bottleneck
Recent work shows agent performance can drop as skill libraries grow.
Agent Procedural Memory: Beyond Prompt Retrieval
Stuffing skills into an agent’s prompt eats context and breaks easily.
My Whole AI Stack Went Chinese
87% cheaper is great.
Route Every Task to Its Winning Model: How We Cut Agent Automation Costs 44x with Open-Weight Models
Most agent automation is not top-tier reasoning.
Qwen3.6-27B at 4-bit: Why NVFP4 Quantization Came Down to Hopper
NVIDIA’s Qwen3.6-27B-NVFP4 compresses a 27B hybrid-attention reasoning model to 4-bit, cutting memory by roughly 2.5x while keeping benchmark gaps within 1 point of FP8.
Five Archetypes That Remain When Job Titles Dissolve: From Prototyper to Maintainer
As engineering, product, design, and data blur into a single mass, Boris Cherny, the creator of Claude Code, proposes five role archetypes and a team-composition formula tied to product lifecycle stage.
The Future of Work: Five Archetypes, Not Job Titles
Roles blur into prototyper, builder, sweeper, grower, maintainer, and nobody wants the sixth.
My Whole AI Stack Went Chinese
The day the whole stack belonged to someone else, and Paxis and Metis cope.
Samsung & SK’s 4,755 Trillion KRW 10-Year Domestic Investment: Honam Memory Fabs to 15GW AI Data Centers
On June 29, 2026, Samsung Electronics and SK hynix announced a combined 4,755 trillion KRW domestic investment over the next 10 years.
Agentic AI from Foundations to Systems: Notes on 'The Hitchhiker's Guide to Agentic AI'
‘The Hitchhiker’s Guide to Agentic AI: From Foundations to Systems’ on arXiv is a practitioner reference that traces every layer of agentic AI – from LLM substrate through alignment and reasoning, up to agent systems and production deployment.
What OpenRouter's Share Reversal Actually Tells Us: Tokens Are Not Revenue, and Why Model Neutrality Matters
US model token share on OpenRouter fell from roughly 70% to roughly 30% in a year while Chinese open-weight models climbed to about 46%.
The Real Logic Behind Big Tech's GPU Overinvestment: Asymmetric Insurance and the Next Tollgate
Hyperscaler capex in 2026 reaches roughly $725B, up 77% year over year.
Editing Video With a Coding Agent: A Look Inside the video-use Skill
Shared by midudev and quickly making the rounds, browser-use’s video-use is a free, open-source skill: drop raw footage into a folder, type one sentence, and a coding agent handles cutting, filler removal, subtitles, color grading, animation, and rendering.
Measuring AI's Economic Impact Beyond Log Analysis: A Look at Anthropic's Economic Index 'Cadences' Report
Anthropic’s Economic Index ‘Cadences’ report (June 26, 2026) drops seven-day samples for continuous hourly telemetry, then combines an artifact classifier with survey data to lift AI-impact measurement from chat logs to a layered, mixed-method approach.
We Measured the Complete Map of Claude Code Project Structure Against Our Own Repo
CLAUDE.md, rules, skills, agents, hooks, MCP – all of it.
Agent Memory Is Now a Data System: A Data-Management Lens on Agent-Native Memory
arXiv 2606.24775 ‘Are We Ready For An Agent-Native Memory System?’ treats LLM agent memory not as RAG but as a full data-management system, decomposing 12 memory systems into 4 modules and measuring each.
AI Agents That Write Papers - Moving Your Writing Workflow to an Open-Source Skill Package
An open-source project bundles a professor’s paper-writing expertise into a Skill package that works across Codex, Claude Code, and Gemini.
Reading a Whole Book in One Pass: The Constant KV Cache Behind Baidu's Unlimited OCR
Baidu’s Unlimited OCR replaces decoder attention with Reference Sliding Window Attention to keep the KV cache constant.
Agents That Imagine the Environment First: A Deep Dive into Qwen-AgentWorld Language World Models
Qwen-AgentWorld, released by Alibaba’s Qwen team, is a language world model trained to predict the environment itself rather than to learn actions directly.
Building Your First AI Agent - Start with a Minimal Guarded Loop
Most introductory guides to AI agents cover four pieces: the LLM brain, memory, tools, and the agent loop.
The Complete Gemma 4 Lineup: Five Apache 2.0 Open-Weight Models and an On-Premises Serving Guide
Released by Google DeepMind in April 2026, Gemma 4 is a multimodal open-weight family of five models spanning E2B to 31B.
Running Gemma 4 26B 16x Parallel on a Single DGX Spark: NVFP4 Quantization and an Honest Cost-Efficiency Review
NVIDIA’s Gemma-4-26B-A4B-NVFP4 running 16 parallel streams on a single DGX Spark (128 GB unified memory) delivers roughly 18 tokens/s per stream and about 300 tokens/s combined.
Anthropic Claude Tag: Turning Slack Channels into a Resident AI Teammate's Workspace
Anthropic has unveiled Claude Tag to replace its existing Slack app.
Making Videos from Claude Code: I Ran claude-code-video-toolkit Myself
An open-source toolkit that renders 1080p video from inside Claude Code with a couple of slash commands.
A Pinch of Human Data Is Enough: Anchoring Self-Play Driving Policies to People via Regularization
Pure self-play is fast but converges on driving conventions that are incompatible with humans.
Document Parsing SOTA at 0.9B: We Ran PaddleOCR-VL on Korean and Arabic Documents
We installed PaddlePaddle’s 0.9B compact vision-language model PaddleOCR-VL and ran inference on documents mixing Korean, English, and Arabic.
Micron-Anthropic Partnership: Memory Becomes the Battleground of AI Infrastructure
Micron will supply HBM, DRAM, and SSD to Anthropic, co-design AI workload memory architectures, and invested in the Series H round.
The Era of One-Person Cinematic Websites: A Deep Dive into the Gemini 3.1 + Seedance 2.0 Workflow
A 16-minute tutorial published by web designer Viktor Oddy demonstrates how one person can build a cinematic marketing site that once commanded $10,000 in fees, using Gemini 3.1 for site structure and Seedance 2.0 for cinematic video.
What We Need to Rethink When Fable 5 Leaves the Subscription
Anthropic is including Fable 5 in subscription plans at no extra cost only through June 22, and from June 23 it shifts to pay-per-use credits.
The AI Harness That Evolves Itself Every Night - Nightly Self-Evolving Harness
While you sleep, the system learns from yesterday’s failures and improves itself.
Three Giants, Three Futures: What Hassabis, Huang, and Amodei Leave for Builder Organizations
A comparison of the worldviews of Hassabis, Huang, and Amodei, who read the same AI wave through three different lenses of AGI, infrastructure, and labor, and a synthesis of what builder organizations should take from each at a time when their uncertainties overlap.
The Age of Agent-Managed Organizations: Jensen Huang's Vision and the Reshaping of Organizational Culture
When NVIDIA CEO Jensen Huang’s vision of ‘hundreds of agents per engineer’ becomes reality, how must organizational structures and ways of working change?
AGI Is Still Far Off: Demis Hassabis's Realism and the Culture of Expectation Management
Starting from DeepMind CEO Hassabis’s statement that we are ‘nowhere near AGI,’ this post explores why AI organizations should make honest expectation-setting a core cultural value rather than chasing hype.
If AI Were the Best Decision-Maker: A Culture Where Data Beats Intuition
Starting from a market-coined label about Jensen Huang, and deepening the Moneyball legacy, how to root a data-beats-intuition decision culture inside your organization
When Software Becomes Free, What Do Engineers Do? Dario Amodei's Prophecy
When the marginal cost of code approaches zero, the value of an engineering team shifts from ‘what we build’ to ‘knowing what should be built.’
Automating PhD-Grade Research with the STORM Method: A 4-Step Knowledge Curation Workflow
Stanford’s OVAL Lab built STORM, an LLM knowledge-curation system that asks questions, investigates from multiple perspectives, drafts an outline, and produces a cited report.
Automating Empirical Research with an Agent Skill Library: The Stanford REAP Case and Its Limits
An analysis of the agent skill library with over 23,000 empirical research skills released by Stanford REAP-based CoPaper.AI.
One Skill Is Not Enough: Compositional Skill Routing and the Decomposition Bottleneck Revealed by SkillWeaver
A composite user request is not the problem of picking one skill but of composing several.
From TPU v2 to Ironwood: Five Generations of Google's Training Supercomputers
We analyze a paper (arXiv:2606.15870) that traces Google’s five generations of training supercomputers from TPU v2 to Ironwood, covering architectural stability, scale, resilience, power efficiency, and sustainability.
Reproducing a Paper by Changing One Word in the URL: alphaXiv autoresearch and GPU Reproducibility Automation
Swap ‘arxiv’ for ‘autoarxiv’ in an arXiv URL and an agent automatically sets up the codebase environment, runs a minimal reproduction, and estimates the GPU cost of full replication.
SkillRet: ThakiCloud Sets the Retrieval Standard for Agents Managing Thousands of Skills
When LLM agents operate with thousands of reusable skills, accurate skill retrieval becomes the bottleneck.
SkillOpt: Optimizing Agent Skills as Trainable Text Components (arXiv:2605.23904)
An analysis of SkillOpt, which treats agent skill documents as external optimization targets and converts scored rollouts into controlled edits (add, delete, replace).
LLM Agents That Evolve Without Rewards: World Knowledge Exploration Training (arXiv:2604.18131)
An analysis of a training methodology in which agents generate world knowledge on their own without external reward signals, then use that knowledge to improve downstream performance.
Code as Agent Harness: A Three-Layer Framework for AI Agent Infrastructure (arXiv:2605.18747)
An analysis of a survey that systematizes how code functions as the foundational infrastructure for AI agent systems, organized into three layers: harness interface, harness mechanism, and multi-agent coordination.
Autogenesis: A Self-Evolving Agent Protocol That Repairs Itself (arXiv:2604.15034)
By abstracting prompts, tools, and memory into versioned protocol resources, the Autogenesis Protocol (AGP) lets an agent close its own improvement loop.
NVIDIA Nemotron-3-Ultra-550B: LatentMoE Hybrid, 1M Context, Korean Language Support On-Premises Analysis
NVIDIA’s Nemotron-3-Ultra-550B-A55B, released under the OpenMDW-1.1 license, is a LatentMoE hybrid architecture combining Mamba-2, MoE, and Attention.
MiniMax-M3: 428B MoE Multimodal, 1M Context and MSA Deliver 9x Faster Prefill Than M2.7
MiniMaxAI’s M3 is a 428B total / 23B active parameter MoE multimodal VLM.
MiniMax-M2.7: 229B Open-Weight Agent Model, 113 Quantization Variants, and License Considerations
MiniMax’s M2.7 offers 229B parameters, FP8 support, and 113 quantization variants, providing a wide range of on-premises deployment paths.
Kimi K2.6: 1T MoE, 32B Active, 300-Subagent Swarm Architecture Analysis
Moonshot AI’s Kimi K2.6 is a MoE model with 1T total parameters but only 32B active per token, maintaining dense 32B inference costs while supporting 256K context and multimodal input.
GLM-5.2: 753B MoE, 1M Context, MIT License Self-Hosting Guide
Z.ai’s GLM-5.2 handles 1M context with 2.9x FLOPs savings using DSA (Dynamic Sparse Attention).
FastContext-1.0-4B-SFT: A 4B Subagent Model Dedicated to Repository Exploration for Coding Agents
Microsoft released FastContext-1.0-4B-SFT, a fine-tuned Qwen3-4B coding agent subagent model.
DiffusionGemma 26B-A4B: Google's Experiment Generating 15-20 Tokens at Once with Discrete Text Diffusion
Google DeepMind released diffusiongemma-26B-A4B-it, a MoE-based VLM that generates text via discrete diffusion rather than autoregressive decoding.
Vibe-Coding-Instruct: SFT for Lightweight Code Agents Using 1.1 Million Samples
Vibe-Coding-Instruct by lazarus19 is an Apache-2.0 dataset of 1.1 million coding instruction-response pairs.
Fable-5-traces: How to Distill Small Models Using Coding Agent Session Traces
Glint-Research released 4,665 Fable 5 (Claude Code) agent traces in AGPL-3.0 under the HF Agent Traces format, with 81% tool-use composition.
Agents Last Exam: Why Computer-Use Agent Evaluation Has Evolved to 153 Long-Horizon Tasks
agents-last-exam is a benchmark dataset of 153 long-horizon tasks for evaluating computer-use agents.
Goclone: Clone Any Website to Your Computer in Seconds
Learn how to use Goclone, a powerful Go-based website cloner that downloads entire websites including HTML, CSS, JavaScript, and images to your local machine.
RAGLight Complete Guide: From Basic RAG to Agentic Workflows
Master RAGLight framework with hands-on examples covering RAG, Agentic RAG, RAT pipelines, and MCP integration for building powerful retrieval-augmented generation systems.
LangGPT: Master Structured Prompt Engineering Framework for Better AI Interactions
Learn how to create high-quality, reusable prompts using LangGPT’s structured framework.
udocker: Complete Guide to Rootless Docker Container Execution
Learn how to run Docker containers without root privileges using udocker - perfect for HPC environments, shared systems, and secure container execution.
Shannon AI Agent Orchestrator: Complete Tutorial for Enterprise-Grade AI Agent Management
Learn how to set up and use Shannon, an open-source AI agent orchestrator with enterprise-grade security, cost controls, and vendor flexibility.
Helm Dashboard: Complete Guide to Kubernetes Helm Charts UI Management
A comprehensive tutorial on Helm Dashboard - the missing UI for Helm that simplifies Kubernetes chart management with visual interface, revision history, and easy rollback capabilities.
AI Coding Assistant: Complete Guide to Boost Your Development Productivity
Master AI-powered coding tools like GitHub Copilot, ChatGPT, and Claude to accelerate your development workflow and write better code faster.
Beyond Technical Skills: A Strategic Approach to Career Growth
While technical excellence is the foundation of any career, true advancement requires mastering four essential disciplines: technical skill, product thinking, project execution, and people skills.
Comprehensive Guide to LLM Dataset Curation: From Training to Preference Alignment
Explore the essential datasets and tools for LLM post-training, including supervised fine-tuning datasets, preference alignment data, and curation methodologies for building high-quality AI models.
Awesome Public Datasets: Your Gateway to High-Quality Open Data
Discover the ultimate collection of curated public datasets across diverse domains, from agriculture to eSports, maintained by the global open data community.
NVIDIA Nemotron 6 Million Multilingual Reasoning Dataset Released -- Strengthening the Open-Source AI Ecosystem
NVIDIA releases a 6-million-example multilingual reasoning dataset, providing high-quality training data expanded across five languages: French, Spanish, German, Italian, and Japanese.
NVIDIA Granary: A Large-Scale Multilingual Speech Dataset Spanning 25 European Languages
NVIDIA’s latest multilingual speech recognition and translation dataset, Granary, covers 640,000 hours of audio across 25 European languages.
Rowfill: Complete Guide to Unstructured Data Processing Platform for Knowledge Workers
Discover the core features and applications of Rowfill, an open-source AI platform that automatically structures PDF, image, and audio files.
AnyCrawl: A Comprehensive Guide to the LLM-Ready Web Crawler - A New Standard for AI Data Collection
Master how to transform websites into LLM-ready data and efficiently collect Google/Bing SERP results with AnyCrawl, built on Node.js/TypeScript.
ByteDance Dolphin Document Image Parsing: Fox Dataset and Benchmark Complete Analysis
A detailed analysis of ByteDance’s Dolphin project Fox dataset and benchmark, including the Analyze-then-Parse paradigm from ACL 2025 and a large-scale dataset with 30M+ samples.
dots.ocr: SOTA Multilingual Document Parsing with 1.7B Parameters - Complete Analysis
How to implement multilingual document layout analysis and OCR in a single vision-language model using dots.ocr, released by RedNote.
Essential Skills Guide for ML Engineers - A Must-Have Checklist for Recruiters and Candidates
A practical guide outlining the core technology stack and competencies needed to build ML applications in production environments
AI Coding Era Cultural Innovation: Paradigm Shift from Resistance to Collaboration
How to embrace and develop the new development culture brought by Vibe Coding and Agentic Coding? A guide to building collaborative culture with AI, breaking away from past conventions
Quantifying Team Chemistry with Saberr: Data-Driven Hiring and Organizational Strategy
How to leverage Saberr algorithms to quantify team compatibility through 15-minute surveys and behavioral data, optimizing everything from hiring to onboarding
Building Data-Driven Organizational Culture with Moneyball Thinking
How to apply Moneyball strategy that discovers hidden value through data and achieves maximum performance relative to resources in development, product, and hiring
Hacking and Reverse Engineering: A New Methodology for AI Vibe Coding Era
In the AI era, developers don’t need to know everything.
AI Engineering Learning Roadmap
We’re sharing a learning roadmap for those who want to start AI engineering.
Backend·Infrastructure Engineer Hiring: **10 Must-Read Books** and the People We're Looking For
Introducing the ideal candidate profile and hiring criteria through 10 must-read books for backend·infrastructure engineer recruitment and practical application cases.
Three Vs-Driven MLOps at ThakiCloud 🚀 — Why You'll Want to Join Us
ThakiCloud’s Three Vs (Velocity, Validation, Versioning) based MLOps culture and practical cases, plus recruitment information for colleagues to join us.
[Thaki Cloud Life & Career] KCD Seoul 2025
Sharing materials presented at KCD Seoul 2025.
Thaki Cloud Life & Career Guide
Sharing Thaki Cloud’s corporate culture, benefits, developer stories, recruitment information, and more.
[Thaki Cloud Life & Career] Mission, Principles, Values
Sharing Thaki Cloud’s mission, principles, and values.
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