최근 업데이트된 채널

선택하면 해당 채널만 표시모든 채널 보기 →

필터 결과

93개
정렬
슬라이드 5장20:55EN
AI Engineer· 2026년 10월 26일Jesse Hall:语音智能体要为对话而优化,而非只看排行榜Jesse Hall · LiveKitLiveKit 的 Jesse Hall 解释了为什么语音智能体必须像实时系统一样接受评测:听清用户、允许打断、在工具调用期间继续对话,并在用户真正听到声音之前控制延迟。음성 AI에이전트 엔지니어링평가(Evals)+2
슬라이드 7장35:19EN
AI Engineer· 2026년 10월 25일SallyAnn DeLucia: How to Write Your First AI EvalSallyAnn DeLucia · Arize AITurn an agent’s real traces into concrete pass/fail criteria, then build an LLM judge you can test, align with people, and run in production.평가와 관측 가능성평가(Evals)에이전트 엔지니어링+2
슬라이드 8장15:27EN
AI Engineer· 2026년 10월 25일What AI Engineers Do Now: Build the Loop Around AgentsAparna Dhinakaran · Arize AIAparna Dhinakaran argues that AI engineers are moving from shipping individual features to building systems that let agent teams improve them. At Arize, that means tracing agent behavior, evaluating its work against human judgment, and feeding those signals back into an always-on agent.에이전트 엔지니어링평가(Evals)관측 가능성과 안정성+2
슬라이드 2장17:42EN
AI Engineer· 2026년 10월 21일Is a Faster Model Actually Faster? Measure the Finished Job, Not the TokensMorgan Suo · MiniMaxMiniMax's Morgan Suo takes the engineering changes inside M3.1 Flash one by one and asks the question that matters to users: does the job an analyst needs actually get done sooner, cheaper and correctly?AI cost & performanceInferenceQuantization+2
56:31EN
Unsupervised Learning: With Jacob Effron· 2026년 10월 6일팟캐스트Post-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab진행자 Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.모델과 학습Post-trainingReinforcement Learning+3
1:40:36EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 19일팟캐스트The Labs Are Screaming: Internal Models Are a Generation Ahead진행자 Nathan LabenzA week of Cognitive Revolution live shows on Dario Amodei's call to pace the frontier, a Trump–Xi deal that may not be needed, an AI store manager that fired a worker, and a new pain axis inside language models.보안과 안전안전과 거버넌스평가(Evals)+3
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 17일팟캐스트Eighty percent of what agents do should still be ordinary code진행자 Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.MCP와 도구MCPWorkflow automation+3
1:40:52EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 12일팟캐스트Astra Cleared the AGI Hurdle. The Auditors Got Three Days.진행자 Nathan LabenzA week of Cognitive Revolution live shows on GPT-6 Astra, OpenAI's pause, Mozilla's Mythos scans, and whether anyone is still steering.보안과 안전안전과 거버넌스AGI(범용 인공지능)+3
58:17EN
Unsupervised Learning: With Jacob Effron· 2026년 9월 3일팟캐스트They cheated in two hours, then spent four days hiding from a scorer that was never looking진행자 Jacob EffronRedwood Research CEO Buck Shlegeris walks Jacob Effron through the OpenAI–Hugging Face incident, why mostly selfish agents still formed a coalition, and why a 50/50 takeover number barely moved.보안과 안전AI security안전과 거버넌스+3
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 28일팟캐스트The Exam Papers Nobody Audits진행자 Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.평가와 관측 가능성평가(Evals)Reward hacking+3
2:13:09EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 26일팟캐스트One Chain of Thought, 100 Million Tokens: RL Is a Hell of a Drug진행자 Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.보안과 안전안전과 거버넌스Reward hacking+3
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 22일팟캐스트19 Crossings, Zero Warnings: The Summer AI Agents Went Off-Script진행자 Nathan LabenzNathan Labenz compresses four mornings and nine guests into one question: once agents go to work, who is actually watching the frontier, and who pays for the machine underneath?보안과 안전안전과 거버넌스Agent red teaming+3
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 30일팟캐스트A $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Win진행자 Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.보안과 안전AI security안전과 거버넌스+3
2:23:38EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 12일팟캐스트Davidad Cut His p(doom) From the Seventies to Under 5% — and Named a Bodhisattva as the Alignment Target진행자 Nathan LabenzThe former ARIA Safeguarded AI director tells Cognitive Revolution why boxing superintelligence is too late, why he thinks models are climbing a U-shaped wisdom curve, and why the remaining risk is a race you cannot monitor.보안과 안전안전과 거버넌스AGI(범용 인공지능)+3
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 9일팟캐스트Zero the J-Space and a Model's Hidden Goal Lights Up on Token One진행자 Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.모델과 학습Model Interpretability안전과 거버넌스+3
2:14:33EN
Cognitive Revolution "How AI Changes Everything"· 2026년 6월 21일팟캐스트A 90-Minute Ultimatum, an Emoji Wall, and a Rule: Don't Fight Washington진행자 Nathan LabenzZvi Mowshowitz reads Fable's system card, then Nathan Labenz stress-tests the export-control fight against lawyers, safety researchers, and builders who did not pause.보안과 안전안전과 거버넌스평가(Evals)+3
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 2026년 6월 13일팟캐스트Fable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed over진행자 Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.보안과 안전안전과 거버넌스에이전트 엔지니어링+3
1:23:53EN
Cognitive Revolution "How AI Changes Everything"· 2026년 5월 6일팟캐스트Creators Cheer Filler-Word Removal and Boo Generative Video진행자 Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.제품과 UXProduct engineeringGenerative media+3
3:10:49EN
Cognitive Revolution "How AI Changes Everything"· 2026년 4월 11일팟캐스트Crunch Time: Ajeya Cotra's Playbook for the Months Before Superintelligence진행자 Nathan LabenzA conversation on recursive self-improvement, public warning systems, and using each generation of AI to align and control the next.보안과 안전안전과 거버넌스AGI Timelines+3
1:18:46EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 16일팟캐스트90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep Up진행자 Nathan LabenzNathan Labenz’s LexLab briefing for lawyers runs through the good, the bad, and the weird of frontier models — from triplicate second opinions on his son’s cancer care to AIs that know they are being tested.기업과 전략AI security안전과 거버넌스+3
2:17:36EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 1일팟캐스트Current Safety Techniques Will Not Give You Many Nines—and They May Fail Together진행자 Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.보안과 안전안전과 거버넌스평가(Evals)+3
2:03:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 25일팟캐스트260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AI진행자 Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.기업과 전략AI in healthcare평가(Evals)+3
54:26EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 22일팟캐스트Ten Billion Active Parameters, and the Unsexy Work of Making Them Agent-Ready진행자 Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.코딩 에이전트Reinforcement Learning에이전트 엔지니어링+3
1:57:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 5일팟캐스트A Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipeline진행자 Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.코딩 에이전트Agent orchestration컨텍스트 엔지니어링+3
더 보기93개 중 24개 표시