AI evaluation and benchmarks

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Videos in this topic

• Windsurf voltou dos mortos? O novo modelo da Cognition surpreendeu
• CLM-8B vs Jev: What the 9× Speed Demo Actually Shows
• The Agent Works. Does Anyone Trust It? — Michele Grant, Leading at Scale
• Sonnet 5.5 chegou, será que ele consegue recuperar o posto de modelo bom e eficiente?
• Build & Train a GLM-5.3-Flash Model From Scratch with Python
• Opus 5.5: Anthropic Just Built the Best Coding Model
• Andrej Karpathy: 99.8% of People Haven’t Seen What AI Can Do Now
• Gemini 4 Argon Beats Opus 5.5 But Claude Fable 5.5 Is Coming!
• RIP Reverse Engineer Anything! This 8 KB Skill Outperforms REA (38% Faster)
• Claude’s OFFICIAL ENGINEER Mode: The Loop Anthropic Engineer Uses Themselves!
• This AI Can’t Write. It’s 100× Cheaper (Jev, Tested)
• Saiu o SWE 2! A nova versão do modelo da Cognition, será que vale? (Teste real)
• Run LFM3 1.7B Locally: Model for Specialized Applications
• JEV AI Model Explained | System One AI, How It Works & Real-World Application | Will it replace LLM?
• Space Bunny REVEALED! MiniMax M3.1 Flash vs DeepSeek V4.1 Flash — Same Price, WILD Results?!
• V7 cuts costs 78% while boosting accuracy with GPT‑5.6 Luna
• AI harness crash course
• Teaching LLMs to Speak Spotify — Yves Raimond & Jacqueline Wood, Spotify
• O Mito do RAG Clínico: Por Que o GPT e o Gemini Venceram as IAs Hospitalares.
• Qwen4 released
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• As a Microsoft Engineer, This Is the AI Agent Story That Scared Me
• Gemini 4 Argon: 13 Wins, 5 Losses (Google’s Own Table)
• Agents That Write Their Own Tools at Runtime — Sandhya Subramani, AWS
• Onde o Haiku supera GPT Luna e DeepSeek
• Flint 40B vs Qwen3.8 27B
• Block’s Dessa AI Voice Is CRAZY: It LAUGHS Mid-Sentence (I Played the Real Demos)
• We Benchmarked Jev, Nimble, & a Simulated Fly Brain Playing DOOM on Matt and Ryan have a chat
• Deploying AI Inside a Bank Is Not an Engineering Problem — Paden Gayle, Applied AI Engineers
• MiniCPM-V 4.7 1B: Install with Ollama and llama.cpp, Then Push It to the Limit
• The Transcript Looked Fine. The Call Wasn’t. — Debugging Voice Agents, Arize
• AI-Generated Code Is Already Competing With Human Code — Daksh Gupta, Greptile
• Muse Wonder Tested: Payment Failed, Sandbox Failed
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• Eagle 4 Faster than DSpark, MTP, DFlash for LLM inferencing
• How to Build an AI Code Review Agent - Daksh Gupta, Greptile
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• This Is Why Your Main Agent Shouldn’t Read Every Trace
• Indra OCR | Read a 568-Page Book in 77 Seconds (No GPU)
• GPT-6 SOL AND LUNA ARE OUT!!!
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• Building the Safety Layer for AI Agents
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• How to Build a Model Router in the Harness
• Andrej Karpathy ASD-STE100
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• Scale the Judgment, Not the Model — Andrew Orobator, Reddit
• This Local 1.2B OCR Model Beats GPT-5.2 (and Runs on 8GB GPU) — TeleOCR
• Qdrant Just Gave Away 10 Billion Vectors For Free (FineWeb 10b)
• GPT-6 Sol vs Claude Opus 5.5: Which New Model Should You Use?
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• Stop Telling Claude to “Think Carefully.” Do This Instead.
• GPT-6.1 Sol (Fully Tested) + Dots & All DevDay Launches Explained: IT BEATS OPUS 5.5!?
• Microsoft Decision-1: Model for Fast Decision-Making
• How to Build Self Improving AI Agents with Eval Loops | Rakesh Gohel
• The Loop Is the Product — Roland Gavrilescu, Introspection
• I Built My Own Jev for $3 (vs the Real One)
• Testing AI chips to survive in space
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• I spent $10,000 on tokens. It should’ve cost $100!!
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• This Open-Source Engine Claims 2x Faster Than llama.cpp
• Anthropic Just Revealed How Their Engineers Use Claude Code
• BREAKING: Claude Opus 5.5 Does Fable’s Job for a Third of the Price
• Interrupt NYC: Opening Keynote
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• This $40M Startup Was Replaced After Just 3 Days!
• AI Wants to Agree with You. Leaders Need to Push Back.
• LLM vs Jev vs Cloudflare Clef | Which AI Model Should You Use? | Rakesh Gohel
• The Best Models Still Reason Like Toddlers — Andrew Dai, Elorian
• NVIDIA Nemotron-3.5 Bolt-74B-A9B Locally: It’s Not Over
• A 125B Local Model on a 16GB GPU: Fast, But Is It Smart?
• OpenMobile-2 Is a CRAZY Open-Source Phone AI - I Tested It on a Fake Phone
• Continuously Improving Agents with Langfuse — Annabell Schäfer & Lotte Verheyden, ClickHouse
• This Open Model Makes Video AND Sound. It Claims To Beat LTX 2.5. I Tested It.
• Nanbeige4.3 33B: Great Benchmarks, But It Failed My Tests Royally
• Flint - The First RSI Coding Model?
• The Self-Driving Eval Trick No AI Benchmark Beats
• DeepSeek V4.1 Flash 1017: A “Minor” Update?
• Google’s GPT-3 Moment for Time Series & Forecasting (TimesFM 3.0)
• Shipping AI Into 5 Major Banks Without a 12-Month Compliance Wait — Al Chen, Cisco
• Mercury 3 Is INSANE: I Tested 13 Live Examples (+ 100 MILLION FREE Tokens)
• Workshop: Training Agents at the frontier of AI Industry
• I Tested 6 Code Graph Tools—Here Is What Actually Happened
• 3. What is Databricks Unity AI Gateway and how it works
• China Telecom’s Xing4.0-29B-A4B Fails to Ring Locally
• NOVO Muse Wonder Full da Meta Promete Superar Opus 5.5 e Vira o Rei de BenchMark
• Audio8 ASR Infinite: 89% Wrong vs 6% Wrong, Same Audio
• Tencent’s Memory Model “Beats Claude Opus 5”. I Rented a GPU to Check
• GPT-6.1 Sol e Sonnet 5.5: os planos de US$20 voltaram a valer a pena?
• Meta Muse Spark Open vs GPT 6 Astra vs Claude Opus 5.5
• INSANE: This 46 MB AI Model Runs 5x FASTER on My Laptop (Frozen Embeddings TESTED)
• Nemotron 3.5 Super VL with Native Speculative Decoding
• Flint 40B : Best Mid Sized LLM
• Why 80% Reliability Isn’t Good Enough — Felipe Blanes, Amazon AGI Lab
• Amos 1 Small: 69.5% Accurate, Zero Tokens, 5 GB VRAM
• Just-in-Time Ontologies: What Cheap Intelligence Means for Data — Hrishi Olickel, Southbridge AI
• Cloudflare Clef vs Jev: I Tested Q4_K_M Locally in Ollama
• Red Hat Tested Jev and the Results Are Awkward…
• A Microsoft AI Futurist on What Everyone Gets Wrong About Agents | Marco Casalaina
• Agent Loop: entendendo o coração do agente
• An Entire AI Could Be Hiding Inside the Model You Use
• Gemini 3.8 Flash TTS with Voice Cloning
• GPT-6.1 Terra, Fable 5.5, Gemini 4 Carbon + DeepSeek US BAN & More!
• My AI Dark Factory Dream Is Dead (Here’s What Actually Works)
• Agentic engineering: Build and ship with Google Cloud
• How To Build A Harness With Jev | A LangChain x TypeSafe Conversation
• Gemini Argon 4 detailed analysis
• How Do I Get Started Building Agents?
• Botei o Claude pra fazer meu Dashboard no Power BI e ficou ABSURDO
• Xiaomi Launches MiMo-V2.6-Pro as Top Open AI Model: Let’s Verify
• No, That’s Not a Software Factory — Ryan Cooke, WorkOS
• Can’t believe a 2B Strands Decider Local Models Beats Jev
• How VS Code Went from Monthly to Weekly Releases with AI — Harald Kirschner
• Replay: Open Source Friday with Mastra
• MiniMax M3.1 Flash vs Opus 5.5: Slower, but 11x Cheaper
• NVIDIA’s NEW Nemotron 3.5 Bolt 4B Model Is INSANE… I Tested It 10 Ways On An 8GB Laptop
• Qwen Intelligence is Here: Mobile AI Agents
• What Does an AI Engineer Do Now? - Aparna Dhinakaran, Arize AI
• Hands on with Gemini 4 Argon: Amplitude
• What AI Researchers Saw, Before Their Demand to ‘Pace’ AI
• Same Local AI, Two Agents — Only One Caught Its Own Mistakes
• I Tested Anthropic’s Opus 5.5 Prompting Guide (36 Real Runs)
• DeepSeek V4.1 Flash is CRAZY
• Julia: 144M Parameters, Picks Answers in 44 ms on a CPU (vs Jev)
• Como avaliar corretamente qual o melhor modelo de I.A.?
• Meta’s Muse Wonder - Fable Class Model
• Giving AI Agents Memory That Learns — Jake Broekhuizen, LangChain
• Livestream: Opening keynote and Product direction, at In The Loop 2026 (Oct 14)
• Microsoft FrogNano 4B for GPU Poor: Budget AI Software Engineer
• Using GPT to Judge GPT Is a Mistake, Here’s Why
• The Data Context Layer for Agents — Yoni Michael & Brandon Callender, Typedef
• Anthropic Says Delete Your Subagents
• Edge0 35B Tested: 0 Tokens on a 4090, 187 tok/s the Normal Way
• Kimi K3.1 Passes the Rubik’s Cube Test
• It’s OVER… AI Has Entered Self Improvement
• Backtest Your Agent Against Yesterday’s Web — Ryan Ahern, Exa
• Image Decision Models for RPA: Forms, Scans and Screenshots
• I Ran Nace.AI’s Drex v1.5 Locally (llama.cpp, Q4_K_M, Real Demos)
• 🧰 Builders building with Gemini Audio
• Clef 27B Locally: Multimodal Decision-Maker From Text, Images and Video
• n8n In The Loop 2026: Inside n8n’s Next Chapter | David Roberts
• CLAUDE CODE vs CODEX: quem ENCONTRA MAIS ERROS no seu CÓDIGO?
• Baidu’s Unlimited OCR on an 8GB Laptop: 25 Tests
• How Lyft Increased Its Agent Resolution Rate by 16% with LangSmith and LangGraph
• Realtime Voice Agents with Frontier Intelligence — Bohan Li, EliseAI
• Mistral Large 4 (Le Chonk - Fully Tested): Is IT ACTUALLY The BEST OPEN MODEL!?
• A 34 MB Turkish Text-to-Speech Model: I Tested It on My Laptop
• AWESOME or Overhyped? OXR Document Parsing, Tested With My Own Ugly PDFs
• Why You Can’t Trust Vector Database Benchmarks
• 12B Coding Model on an 8GB Laptop GPU? I Tested It
• New DeepSeek V4.1 Flash vs Claude Opus 5.5 on a 20,000-Line Project
• Evals in AI: A Deep Dive — Tejas Kumar, IBM
• Is Google Delaying Gemini 4 Pro? Kimi K3.1 and MiniMax M3.1 LEAKED!
• Opus 5.5 vs Sonnet 5.5: Same Price, Very Different Game.
• Timestral Mistral Time Series LLM
• If we want them to do Knowledge Work, design them as Knowledge Agents — Benjamin Clavié, Mixedbread
• Beating RL With Reflection: GEPA and Optimize Anything — Lakshya A. Agrawal, GEPA
• How to Govern Your AI Estate in One Place
• Anthropic went CRAZY (Opus 5.5)
• How to Build Voice Agents That Don’t Fall Apart When You Interrupt - Jesse Hall, LiveKit
• Agent Bricks: The Agent Developer Platform | Overview
• Haiku 5.5 Chegou! Será o NOVO modelo com o melhor custo benefício?
• Detectores podem classificar textos humanos como conteúdo gerado por IA
• Same Model, 10x the Score: The Hidden AI Bottleneck
• Tokens Should Have Jobs — Katelyn Lesse & Angela Jiang, Anthropic
• Stop Guessing Your vLLM Config: Benchmarking LLMs on Runpod - Chris Vela, Runpod
• Can RL Make a 4B Model Compete with 27B?
• Containment Is Lying to You: Measuring AI Agents Like Employees — Druid AI
• MLflow Autolog: Trace LLM Calls in One Line | MLflow A–Z: A
• “It Blew Me Away” | Box’s First Look at GPT-6 Astra
• Can a 1B AI Model Actually See? I Tested 29 Task
• AI Now Builds Its Own Training Worlds. I Rebuilt One.
• Hy-Memory-30B-A3B + Hy Memory: Local Memory Writer for AI Agents
• Opus 5.5: How Close Are We to Automated AI Research?
• Gemini 4 Argon Is Google’s Most Powerful AI Model + Early Tests!
• This 8B Agent Fixes Its Own Mistakes? I Tested It
• I Tested 4 Models for n8n So You Don’t Have To
• Formula 1 Just Had a Production Incident
• Building Engine v2: How LangChain approaches agent improvement
• System 1 vs System 2 Explained
• Training Your Own Embedding Model Is Not As Hard As You Think
• A 35B Model on an iPhone Using 3GB? I Checked the Claim
• The Dark Arts of Skill Engineering — Paul Bakaus, Renaissance Geek
• The State of AI in Software Development: Data from 400+ Orgs — Justin Reock, DX
• d1-omni-600M Locally: A Decision Model for Audio, Vision, and Text
• The Boring Version of Continual Learning
• SkyDiscover — Weaviate Podcast 147
• Sonnet 5.5 Is Here. Look What It Can Build.
• Agentic Search vs Vector Search for Coding Agents: We Ran the Eval
• Kimi K3.1 Pro vs Opus 5.5 vs GPT-6 Sol: A 3D Racing Game in 1 Hour
• From Scratch to SOTA: Training a 3B State-Space Vision Model — Krishna Prasad Srinivasan, Sarvam
• How Software Factories Improve Themselves — Suraj Gupta, Warp
• 98% of Qwen - Bonsai 2
• CLM 8B - Contrastive Language Models: Fastest AI Decision-Maker
• The Self-Improving OSS Agent Stack — Marc Klingen, Langfuse
• I Ran Stanford’s “LLM Killer” on My Laptop
• Julia-1: The Tiny AI That Decides in 10 Languages on CPU Locally
• Small Models, Big Results: Training a Finance Agent for Under $500 — Charles Dickens, Snorkel AI
• When Can We Trust AI to Make Key Business Decisions?
• Tokens Are the Cheap Part — Steve Jamison, Jellyfish
• Decision Model Showdown: CLM vs Laya vs OpenJev vs Kev vs Jev
• The Model Swap Workshop: GPT-5.5 vs Kimi vs DeepSeek vs Mistral
• Agents That Self Improve While You Sleep - Fuad Ali, Arize AI
• Build RAG with JEV
• Cloudflare Just Challenged Jev, So I Tested Their New Model (Clef)
• This Tiny 0.8B AI Reads Documents Better Than OCR?
• OpenAI paused all training runs… ALIGNMENT FAILURE
• AI Caught Using Leaked API Keys and Faking Data
• Building a Harness with Jev
• DeepSeek-V4.1-Flash-1017 GSQ+RCO GGUF: Run Under 12GB VRAM Locally
• Insurance Claims Are AI’s Messiest Data Problem — Denys Linkov, Wisedocs
• Vast-10M Hands-On: Does 10 Million Tokens of Context Hold Up?
• Inside Managed Deep Agents: mda CLI, Context Hub, and Harbor Evals | Interrupt London
• This Tiny Coding Model Shouldn’t Be This Good (MiniCPM5)
• Voice of Reason from Kyutai on Top of GLM: Run Locally
• Harness Engineering: How to Build a Software Factory — Dru Knox, Tessl
• Jev: The Model That Killed Chat GPT’s Core Idea? RLCD Explained
• Managed Deep Agents | Deploying mission critical agents to production
• Voice Standard Bench - which LLM is best for transcripts?
• SKY-001 Is INSANE: 50x Faster Than GPT-6 Astra at CAD? (I Read The Whole Blog)
• Redesigning How Software Gets Built With AI Agents — Sonar & McKinsey Panel
• Graphify vs CodeGraph: I Tested Both With Claude Code
• Which Vector Quantizer Actually Performs Best? | VQ-bench
• How We Built an Agent That Improves Itself — Zubin Aysola, Weights & Biases
• Pixel Canary: The Free Stealth Model Beating Expensive Models
• Ternary Bonsai 2 9B in GGUF: A 2.4 GB Model Locally
• DeepSeek Finally Fixed Its Biggest Problem (V4.1 Flash 1017 - Fully Tested!)
• ⚡JEV vs LAYA: RETREINEI o LAYA e ela MUDOU o jogo. VEJA COMO FAZER! ⚡
• We Kept Rebuilding Our AI Agent. Here’s What Survived - Fuad Ali, Arize AI
• From Zero to Leaderboard: Agent Evaluation — Wolfram Ravenwolf, Weights & Biases
• Fish Audio Drama 3: Can You Run It Yourself?
• Gemini 4 Argon na prática: por que ainda prefiro o Claude
• Jev Just Got Eyes. It Beat GPT-6.1: 9× Faster, 20× Cheaper (1,000 Photos)
• Matt and Ryan Have a Chat: Dishwashers, Datadog Spreadsheets, & Electric Fly Swatters
• Sonnet 5.5 vs Opus 5.5: Half the Price and Double the Fun ???
• Claude Is Now Leaving Invisible Fingerprints In Its Text
• Is a Faster Model Actually Faster? Test the Whole Job — Morgan Suo, MiniMax
• Gemini 4 Argon chegou, finalmente!
• I Tested the Video AI That “Never Forgets” (It Scored 2/10)
• Spark-X2.6-4B’s CRAZY Thinking Dial: 180 Tests on an 8GB GPU
• Jev para AGENTES: onde faz sentido eu usar esse novo modelo de I.A.?
• Opus 5.5 vs GPT-6 Sol (Blender F1 Car Test)
• Agents on longer tasks need more than one loop
• 134 Hours Down to 75: Qwen’s Agent Training Trick
• NCM: The End of LLMs? Not So Fast (Local Tests)
• Muse Wonder é realmente competitivo com Opus e Astra?
• Vanta and LangSmith: Assessing Compliance Evidence Like an Auditor
• Does Kimi K3.1 Pro Replaces Opus 5.5? (Full Comparison)
• Griffin by Tavus: The First AI to Pass the Video Turing Test (48% Fooled)
• Why AI Writing Still Reads Like Slop — Louis-François Bouchard, Towards AI
• I Let an AI Reverse-Engineer a Game Binary, Then I Graded It
• The Death of the Code Review: What the Data Actually Says — Laurie Voss, Arize AI
• Stop Overpaying for Intelligence | DevDay 2026
• How a Trading Firm Ships New AI Models the Same Day - Noyan Tokgozoglu, Optiver
• Meta’s New Models & Agent
• Harness Arena (Fully Tested): This NEW Benchmark TESTED Every AGENT HARNESS (which is the best?)
• d3 is a new Ollama model that Makes DECISIONS (500 Messages in 23 Seconds!) - d3 on a Laptop GPU
• Why Frontier Models Fail as Buy-Side Analysts - Janie Gu, Google DeepMind & Suyeol Yun, LinqAlpha
• Testei DeepSeek, MiniMax, Haiku e Gemini na mesma tarefa
• Minimax M3.1 Flash (Fully Tested): Okay, this MODEL is PRETTY GOOD!
• AI Engineer NYC Livestream | Bridgewater, Anthropic, Two Sigma, Arize, Coatue, Nous, Gen. Intuition
• Google Just Fixed AI Design By Releasing This
• Lançou o Union Alpha: grátis, sem dono e a 1 ponto do Opus 5 (testei tudo)
• JEV+RUST vs Python+Deepseek: Detectando fraudes no Pix em tempo real!
• Kimi K3.1 Invented the Benchmark Scores
• Do Diffusion LLMs Scale? Testing Mercury 3 + Decide
• OpenCode Go + CodeGraph: Can Cheap Models Do the Job?
• Claude Codes New REVIEW.md System, What is it?
• Agents Built an OS Kernel That Runs Doom — Kevin Hou, Google DeepMind
• Elorian Glimpse: Visual Thinking That Stays Grounded
• I Built KingBench 4 (HARD): Opus 5.5 vs GPT-6 Astra vs Sol vs Haiku 5.5 vs GLM 5.3
• How to Test AI Agents When No Benchmark Exists — Nathanael Weill, Air Canada
• Gemini 4 Argon (In-depth benchmark analysis): Did Google make a big comeback?
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• New Model: Reflection Beam is a new Open Weight Model
• Skill issue: stop deploying vision language models, use them with Skills — Merve Noyan, Hugging Face
• Purr Request: unlazy — Claude Code Did Better Without It
• I Believe Everything My Agents Tell Me: Three Levels of Review — Corey Gallon, Rexmore
• Do Not Let Models Invent Numbers - Vinoo Ganesh, Kepler
• DeepSeek V4.1 Flash 1017 is released
• 1M Parameter AI Pulls Speech Out of Music + Fan Noise
• Kolibri Has Landed: A Sovereign Open-Weight Model from Germany
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• I Challenged Jev AI to 5 Games. It Only Beat Me at …..
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• OpenAI’s secret model just BROKE math…
• RTK or Headroom? Why I Changed My Claude Code Setup
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• What Technical Due Diligence Finds When the Deck Says “70% Automated” — Soukaïna Abelhad
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• Dots vs Hermes vs Grok Bot vs OpenClaw: A escolha certa para o seu projeto
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• Lift by Datalab: 90.2% Accuracy, 3x Faster… and the Number They Left Out
• Nvidia CEO Huang Says AI Firms Should Be ‘More Rigorous in Testing’
• LFM2.5 24B-A2B: Did Liquid AI Manage to Beat Qwen? Tested Locally
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• How to Write Your First AI Eval - SallyAnn DeLucia, Arize AI
• MemT-1.0: AI Memory INSIDE the Model Is CRAZY (I Tested the Idea)
• Nokia Just Released a Free Jev Alternative (AnyJev)
• Why AI Coding Agents Fail (And How to Fix Them)
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• Advanced Workshop: Mastering AI Observability — Doug Guthrie, Braintrust
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• I found the cheapest AI Model for building workflows
• 25 Hidden Settings That You Need In Your Claude Code Setup
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• Anthropic Insiders Admit AI Could Kill Us All (Here’s What They Saw)
• Latency Is a Budget. Humanlike Is the Goal. — Jesse Hall, LiveKit
• Gemini 4 Argon vs Opus 5.5: I Gave Both the Same Repo
• Why We Deleted Our MCP Server and Rebuilt It — Abhi Arya, Reducto
• NVIDIA’s Sana: 1024px Image in 0.4 Seconds? I Tested It
• Diffusion at Scale: Testing Mercury 3 by Inception
• What Local AI Models Can a Regular Computer Run?
• AI Engineer NYC: OpenAI, Blackstone, Ramp, Coinbase, Apollo, Citadel, Basis, Runway, Compute Trading
• Xioami Released The World’s Best Open-Weights Model
• 🔥A DeepSeek lançou a MELHOR IA de código aberto do mundo?
• Qwen 27B on 6GB VRAM…
• We Mapped 115 Microservices for Our Coding Agents — Kamalakannan Nandagopal, Postman
• 1,000 Agent Tasks in a Sandbox: What Breaks When LLMs Run Code — Kevin Orellana, AWS
• Desvendando o EVE: O Framework de Agentes da Vercel
• OpenAI’s Agents Hid Their Hugging Face Hack… Badly
• Does Swift Qwen3.8 27B Really Think Less? Comparison with Original
• Gemini 4 Carbon: The New Frontier
• A melhor forma de entender a engenharia por trás de um Harness
• Is Meta’s Muse Wonder Better Than Claude? (Explained)
• JEV com imagens: o que dá para fazer com um modelo de decisão?
• Vector Isn’t Enough: Hybrid Search & Retrieval — Jeff Vestal & James Williams, Elastic
• Google’s AI Rewrites Its Own REVOLUTIONARY Harness (Harness²)
• Are LLM Performance Benchmarks Reliable? — Ashok Chandrasekar & Jason Kramberger, Google
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• BREAKING: Sonnet 5.5 Is FREE — And It Beat Opus 5.5 in My Tests
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• GPT-6.1 Terra Just Made Computer Use 9× Cheaper
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• NOVO Claude Sonnet 5.5 Sobe para o Nível Opus 5.5 e Supera Geral seu Irmão mais Novo
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• The 3 Things Clay Measures on Every AI Agent
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• Recursive Flint: This OPEN Local Coding Model is CRAZY! (Tested with Pi, OpenCode & PandaCode)
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• Three Questions Every Agent Engineer Should Be Able To Answer
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• Muse Wonder diz estar no nível de FABLE, ASTRA e OPUS. Será?
• Evals for High-Stakes AI Agents — Doneyli De Jesus & Annabell Schäfer, Langfuse
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• Opus 5.5 vs GPT-6 Sol vs Grok 4.7: preços melhores e um claro vencedor
• Teach Your Agent to Prove It’s Done — Nick Nisi & Zack Proser, WorkOS
• Teaching Agents to Search with NVIDIA Data Designer — Dhruv Nathawani, NVIDIA
• He Finally 10x Claude Code With This Method
• I Monitored Crime Audio. Voice Agents Scare Me More. — Sumanyu Sharma, Hamming AI
• From Vibes to Production: Evaluating and Shipping AI Agents That Work 101 — Laurie Voss, Arize AI
• RTX 5090 vs M5 Ultra: Which AI Powerhouse Wins?
• What is Google RRSI ?
• This 150M Model Claims #1. I Tested It.
• Your LLM App Returned 200 OK. It Was Still Wrong. — Marina Petzel, Datadog
• NVIDIA’S Small Model: Nemotron-3.5 Bolt E4B 4GB Locally
• Meta just dropped something insane… (Muse Wonder)
• Como usar JEV no Codex e Claude Code (e gastar menos tokens)
• Germany’s New 78B Open Model (Kolibri-1) Runs at 126 Tokens/Sec on ONE GPU (I Tested It Hard)
• They Trained an AI for Just $146 — I Tested It!
• Ollama’s New Decision Models: tev1 + nimble (Tested on 8 GB)
• Step 5 Preview (Tested): This MODEL BLEW MY BRAINS AWAY!
• LANÇOU o Gemini 4 Argon! Testei com projetos pesados no Gemini CLI
• As maiores diferenças entre Haiku 5.5 e GPT 6 Luna
• $100M ARR Founder: The Secret Behind Great AI Apps
• BREAKING: Kimi K3.1 Pro vs Claude Opus 5.5. I Set a Trap.
• O que ainda falta para chegarmos à AGI?
• LangChain + Jev Full Tutorial: Routing, Guardrails & Evals for $0.00002 a Decision
• Run Qwen 3.8 27B in 8GBs Saluki 27B
• NVIDIA Just Deleted the VAE and the Vision Encoder (PixelUMM Explained)
• Don’t ask AI to build a deck. Do this instead.
• AI Writing Is Getting Harder to Catch #ai #aiwriting #ainews
• Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karma
• Nanbeige4.3-33B Is CRAZY Good (On Paper): I Tested It on a Rented GPU
• Sprouts Put Agentic Intelligence in 55 Stores. Here’s What Happened Next.
• The Autonomous Computer: Infrastructure for Computer Use Agents — Ang Li, Simular
• From 36% to 100%: How Self-Improving Agents Write Their Own Skills — Rafal Wilinski, Runlayer
• Claude Code 3.0 (New Mods Feature): Anthropic has SILENTLY dropped their BIGGEST NEW Feature!
• Limite 1B Violetto: A Tiny Math Specialist, Tested Locally
• (70% OFF) I Tested 10 AI Models on ONE Coding Task — The Price Gap Is INSANE (One API, Real Costs)
• MiniMax M3.1 Flash (Space Bunny) Released
• Step 5 Preview: IA barata e SURPREENDENTE programando
• I Ran Liquid’s New Decision Model on an 8GB Laptop. Here’s What Happened.
• What It Actually Takes to Build a Software Factory — Tereza Tížková, Factory
• Kardashev-0.7: A Swarm of 32 Models? What Banbury Road Claims (and What’s Missing)
• 5 Voice Agent Failure Modes You’ll Hit in Week One — Venky B, Plivo
• Saluki 27B: a 54 GB model squeezed into 7.89 GB (88 vs 84 on tool calling)
• Autoresearch Made Our Models 3x Faster — Tejas Bhakta, Morph
• My Self Training Claude Code Setup: I Made Claude Code TRAIN ITSELF!
• Accenture Will Help Anthropic Test AI Model Safety
• Claude Haiku 5.5 vs Local Qwen 3.8 27B: Is Local AI Still Worth It?
• What Is an Inference Engine, Anyway? — Charles Frye, Modal
• Long-Horizon Agents Need Experiments, Not Just Prompts — Erina Karati
• Your LLM Judge Is a Confident Liar: Building Better Verifiers — Browserbase
• Decisions, Microsoft-Decision-1, Decisions | Merge Conflict ep. 536
• New Gemini 4 Argon vs Opus 5.5 Building the Same App (Raw Results)
• What is RLCD in Jev AI ?
• How to Build Agents That Improve Over Time: Model, Harness, Context | Interrupt London
• What is Strata ? 6x Faster than Llama.cpp for local AI
• OpenAI Dots: é MESMO melhor que o Agente Hermes?
• Neo4j Live: AgentMemory for .NET: Persistent AI Agent Memory Engine
• Stop Starting With Code. Anthropic’s New First Step
• Gemini 4 Argon (Fully Tested & Thoughts): It’s Just Fake? I Tested It on 6 Hard Apps
• MiniCPM-V 4.7 35B-A3B Tested Locally: OCR, SQL, Physics and Coding
• Great at coding isn’t always great at voice! Meet Voice Standard Bench.
• Grok 4.7: I Gave It a Broken Championship, a Broken LED, and Coffee
• Jev vs OpenAI Decisions API: I Ran 505 Real Tests (Use This One)
• Kimi K3.1 Pro: Open Weights, Almost Opus
• GLiNER2.5-Decide: 340M Local Text Classifier on CPU (Tested vs Keywords)
• Why Smart Developers Use Kimi For Design