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27:54EN
Matthew Berman· Dec 5, 2024AI News in December 2024: Genie 2, World Models, MCP and New AI ReleasesMatthew Berman · Forward FutureMatthew Berman surveys early interactive world models, voice and video tools, QwQ, distributed training and Amazon’s Nova announcements.
1:49:41EN
Cognitive Revolution "How AI Changes Everything"· Nov 21, 2024PodcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BaseHost Nathan LabenzNathan Lambert walks through Tulu 3: the three-stage recipe, the 1 percent versus 14 percent lesson, and why open post-training now lives or dies on data and evals.
14:50ENMatthew Berman· Nov 19, 2024AI News in November 2024: Mistral, Gemini, Nuclear Safety and Medical AIMatthew Berman · Forward FutureMatthew Berman surveys Le Chat updates, model rankings, nuclear safeguards and a diagnostic reasoning study.
14:05ENMatthew Berman· Nov 15, 2024Test-Time Training Improves ARC Puzzle Results in an MIT StudyMatthew Berman · Forward FutureMatthew Berman explains a 2024 paper that adapts a language model to each puzzle at inference time and combines its predictions with program synthesis.
5:15:00EN
Lex Fridman· Nov 11, 2024Podcast · 2 speakersDario Amodei Has Seen This Scaling Movie Enough TimesGuest Dario Amodei · Host Lex FridmanAnthropic’s CEO puts numbers on frontier training costs and AGI, then hands the mic to the people who shape Claude’s character and look inside its weights.
0:35ENMatthew Berman· Nov 6, 2024An IBM Visit: Granite Models, InstructLab and Quantum ComputingMatthew Berman · Forward FutureMatthew Berman previews a longer discussion of IBM’s small AI models, model customization and quantum research.
11:56ENMatthew Berman· Nov 3, 2024IBM Granite 3.0 and InstructLab: Small Models for Enterprise AIMatthew Berman · Forward FutureMatthew Berman reviews IBM's 2024 model family and its approach to adding domain knowledge. IBM partnered on the video and invited him to its event.
2:24:18ENCognitive Revolution "How AI Changes Everything"· Oct 30, 2024PodcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Host Nathan LabenzZyphra’s training lead walks through Zamba 2’s hybrid architecture, the evals that actually matter, and the trade secrets small labs still have to rediscover.
10:39ENMatthew Berman· Oct 29, 2024Zamba2-7B: A Hybrid Mamba–Transformer Model Tested on Coding and ReasoningMatthew Berman · Forward FutureMatthew Berman compares Zyphra’s efficiency claims with his own informal tests, including Python games, spatial puzzles and simple word tasks.
41:42EN
Sequoia Capital· Oct 22, 2024PodcastNeural Networks Are Still Waiting for Their ThermodynamicsOpenAI researcher Dan Roberts on why physicists keep migrating into AI, and why the field still lacks the equivalent of the ideal gas law.
9:38ENMatthew Berman· Oct 15, 2024Liquid Foundation Models: Company Benchmarks and a Hands-On TestMatthew Berman · Forward FutureMatthew Berman reviews Liquid AI’s 2024 model and memory claims, then tries the 40B preview on coding, logic, and instruction-following prompts.
1:19:00EN
20VC with Harry Stebbings· Oct 7, 2024Podcast · 2 speakersEiso Kant on Poolside, Compute and AI for Software DevelopmentGuest Eiso Kant · Host Harry StebbingsPoolside’s CTO explains code-execution feedback, the cost of model development and his company’s ambitions in the AI race.
1:06:48EN
Unsupervised Learning: With Jacob Effron· Oct 3, 2024Podcasto1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointHost Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.
45:22ENSequoia Capital· Oct 2, 2024PodcastAlphaGo Thought 30 Seconds a Move. o1 Made “Think Longer” GeneralOpenAI researchers Noam Brown, Ilge Akkaya, and Hunter Lightman on teaching language models to reason, the generator-verifier gap, and a second scaling curve at inference time.
16:57ENMatthew Berman· Sep 30, 2024Jensen Huang and Marc Benioff on AI Agents and the Future of ComputingMatthew Berman, Jensen Huang, Marc Benioff · Forward FutureMatthew Berman comments on a 2024 Dreamforce discussion about agent collaboration, training, safety, and making AI tools practical.
9:15ENMatthew Berman· Sep 25, 2024Llama 3.2 Adds Vision and Smaller On-Device ModelsMatthew Berman · Forward FutureIn a Meta-partnered 2024 video, Matthew Berman reviews the model family, its tooling and a brief hosted 1B demonstration.
39:45ENSequoia Capital· Sep 24, 2024PodcastHarmonic’s Bet: Teach AI Math Directly, and the Riemann Hypothesis Falls by 2029Robinhood’s Vlad Tenev and Harmonic co-founder Tudor Achim tell Sequoia why math is reasoning, why Lean is the verifier, and why they refuse to wait for mathematical skill to emerge from scale.
1:18:32ENCognitive Revolution "How AI Changes Everything"· Sep 20, 2024PodcastA DNA Model That Can Tell Which Genes You Cannot TouchHost Nathan LabenzStanford's Brian Hie walks through hybrid architectures, a genome-scale language model trained only on DNA, and an antibody that binds 25 times tighter than nature.
0:54ENMatthew Berman· Sep 16, 2024OpenAI’s o1 Preview: A First Look at Longer ReasoningMatthew Berman · Forward FutureMatthew Berman introduces the o1-preview and o1-mini models and tries a Python game prompt.
35:30ENMatthew Berman· Sep 6, 2024Reflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.
1:03:46EN20VC with Harry Stebbings· Sep 4, 2024Podcast · 2 speakersZico Kolter on AI Safety, Scaling and the Limits of Open ModelsGuest Zico Kolter · Host Harry StebbingsThe Carnegie Mellon researcher and OpenAI board member explains why prompt injection worries him, how he thinks about open weights, and why AI progress remains uncertain.
50:20EN20VC with Harry Stebbings· Aug 28, 2024Podcast · 2 speakersArvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model BenchmarksGuest Arvind Narayanan · Host Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.
9:43ENMatthew Berman· Aug 26, 2024Matthew Berman Tests Jamba 1.5 on Coding and Reasoning PromptsMatthew Berman · Forward FutureA 2024 hands-on test of AI21’s hybrid model finds slow output in one hosted session and mixed answers to a small set of prompts.
1:03:26EN20VC with Harry Stebbings· Aug 19, 2024Podcast · 2 speakersAidan Gomez on Model Scaling, Data and Enterprise AIGuest Aidan Gomez · Host Harry StebbingsThe Cohere CEO discusses the economics of foundation models, enterprise adoption, AI agents and the future he hopes the technology will enable.Load moreShowing 24 of 344