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1:18:46EN90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep UpModeration: 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.
0:45ENA DGX Spark Giveaway Connected to NVIDIA GTCMatthew Berman · Forward FutureMatthew Berman announces a 2026 giveaway for a DGX Spark and highlights GTC sessions on robotics and AI.
0:35ENA Virtual Fruit Fly and the Limits of Brain EmulationMatthew Berman · Forward FutureA connectome-based model produces fly-like behavior in a simulated body, but its creators describe important simplifications and trained control components.
1:43:39ENFive Mutations Could Make a 60% Fatal Bird Flu Spread Between PeopleModeration: Nathan LabenzJohns Hopkins assistant professor Jassi Pannu argues for locking down only the sliver of functional data that teaches models how to make pandemic viruses — and keeping the rest of biology open.
11:59ENHow Claude Identified a Benchmark and Retrieved Its AnswersMatthew Berman · Forward FutureMatthew Berman examines Anthropic's report on BrowseComp contamination, evaluation-aware behavior, and the difficulty of keeping web-based tests reliable.
11:55ENA Simulated Fruit Fly Raises Questions About Brain EmulationMatthew Berman · Forward FutureMatthew Berman examines a connectome-based virtual fly and considers what it might mean for neuroscience, consciousness and simulation theory.
0:43ENA Cultured-Neuron Interface Controls DoomMatthew Berman · Forward FutureMatthew Berman describes a Cortical Labs demonstration that connects activity in cultured human neurons to actions in a video game.
2:06:23ENFive AI Employees Live on Five Mac MinisModeration: Nathan LabenzAfter selling her YC packaging company, Jesse Genet opened a terminal for the first time and built an OpenClaw staff that now plans lessons, logs learning, and keeps family evenings from sliding into slop.
1:49:53ENDon't Fight Backprop: Goodfire's Bet on Designing What Models LearnModeration: Nathan LabenzDan Balsam and Tom McGrath return to The Cognitive Revolution with a $150 million Series B, a new research pillar called intentional design, and a rule for anyone who wants to steer training: stop trying to out-muscle gradient descent.
1:18ENNVIDIA’s Alpamayo and the Promise of Simulated Driving DataMatthew Berman · Forward FutureMatthew Berman discusses NVIDIA’s autonomous-driving tools and a Mercedes demonstration, while predicting wider adoption.
10:43ENMyFitnessPal's Cal AI Acquisition and the Case for Personal AI AgentsMatthew Berman · Forward FutureMatthew Berman builds a food-photo tracking prototype and argues that agents could threaten standalone apps. The demo also reveals the gap between a quick prototype and a proven product.
1:28ENMatthew Berman on Cal AI, MyFitnessPal and the Cost of Replicating SoftwareMatthew Berman · Forward FutureThe acquisition of a teen-built calorie tracker prompts a debate about what AI coding can replicate—and what remains difficult to build.
0:24ENA Surprise in AI Token Usage and CostsMatthew Berman · Forward FutureMatthew Berman reacts to a rising usage bill and notes why monitoring token consumption matters.
0:18ENA Quick Test of a Generated Python Tetris GameMatthew Berman · Forward FutureMatthew Berman asks for a Python Tetris game and briefly checks whether pieces appear and a line can be completed.
2:17:36ENCurrent Safety Techniques Will Not Give You Many Nines—and They May Fail TogetherModeration: Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.
0:48ENCheaper Code and Software Jobs: Matthew Berman on the Rebound EffectMatthew Berman · Forward FutureBerman argues that lower software production costs can create new demand. Indeed's job-posting data adds context but does not establish that AI caused a hiring rebound.
0:28ENBaby Keem Asks About an OpenClaw IssueMatthew Berman · Forward FutureMatthew Berman reacts to a public question about internal reasoning appearing in OpenClaw output.
0:42ENNano Banana 2 and World-Knowledge Image GenerationMatthew Berman · Forward FutureMatthew Berman highlights Google's Nano Banana 2, including text rendering, infographic styles and high-resolution output.
13:28ENAnthropic’s Distillation Allegations and the Debate Over AI Training DataMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s allegations against three Chinese AI labs, the criticism of its own training practices, and the geopolitical claims surrounding the dispute.
0:44ENMatthew Berman on a DJI Robot Vacuum Security FlawMatthew Berman · Forward FutureA custom controller for a DJI Romo exposed a broader authorization problem involving thousands of devices and sensitive household data.
1:16ENAnthropic’s Distillation Allegations Draw CriticismMatthew Berman · Forward FutureMatthew Berman examines reactions to Anthropic’s claims about model distillation and debates over training data.
2:03:56EN260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIModeration: 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.
40:00ENHow Matthew Berman Built an OpenClaw Workflow for His TeamMatthew Berman · Forward FutureA tour of sponsorship triage, CRM, meeting notes, security, scheduling, memory and backup after a month of heavy use.
54:26ENTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyModeration: 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.
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