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10:36ENMeta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.
0:23ENWhy Theo Would Wait Before Upgrading for UltrafastTheo Browne · Ping LabsA short cost comparison leads Theo Browne to caution against upgrading to the $500 tier solely for Astra Ultrafast.
0:29ENTheo’s Ultrafast Test: $600 of Usage for Two PR ReviewsTheo Browne · Ping LabsA short example illustrates how quickly token costs can rise when using Ultrafast for everyday review work.
10:00ENOpenAI DevDay: Dots, Faster Inference, Codex and ChatGPT SpaceMatthew Berman · Forward FutureMatthew Berman reviews the event’s personal assistant, model, developer tooling and collaboration announcements.
0:31ENGrok 4.7’s Token Use and the Claims Around Its ReleaseTheo Browne · T3Theo compares Elon Musk’s earlier predictions for Grok 4.7 with selected benchmark results and token counts.
7:26ENGPT-6 Sol and Luna: Price and Benchmark Trade-offsMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s September 2026 launch, comparing API prices and reported agent benchmarks with larger models.
12:31ENJev's Fast Decisions: Demos, Tradeoffs and Reliability ClaimsMatthew Berman · Forward FutureMatthew Berman explores a decision-oriented AI model through routing, simulated worlds, chess and game-control examples.
1:12ENA Sponsored Look at Higgsfield's Image and Video APIMatthew Berman · Forward FutureMatthew Berman uses a real-versus-AI video comparison to introduce Higgsfield's model catalog and generation-based API billing.
0:38ENA Quick DeepSeek Speed Test and V4.1 Flash API PricingMatthew Berman · Forward FutureMatthew Berman demonstrates a short essay response and reviews the peak and off-peak API rates displayed in September 2026.
0:22ENTheo’s Take on GPT-6 Astra: A Next-Generation Model With Rough EdgesTheoTheo praises the model across coding and other tasks while warning that it can still over-engineer and get stuck in loops.
13:31ENMatthew Berman Tests GPT-6 Astra with Games and Browser TasksMatthew Berman · Forward FutureAn early-access tour shows playable prototypes, computer-use demonstrations and a sponsor’s enterprise evaluation, alongside observations about visual style and limitations.
0:48ENMatthew Berman on Earning From Idle Mac Compute With DarkbloomMatthew Berman · Forward FutureA proposed network of Apple Silicon Macs could serve AI inference, but the earnings shown are projections that depend on hardware, availability and demand.
1:07ENMatthew Berman on Relay: Routing Coding Work Across ModelsMatthew Berman · Forward FutureA short demonstration of a free coding skill that assigns planning, implementation and review to different models. Its cost comparison is one example, not a guarantee of savings or equivalent quality.
0:40ENEnabling Max Reasoning Effort in CodexMatthew Berman · Forward FutureMatthew Berman shows an August 2026 settings menu for exposing Max reasoning effort and explains his preference for Luna.
1:24ENMatthew Berman on Using Model Routing to Reduce AI CostsMatthew Berman · Forward FutureA short, sponsored explanation of splitting planning and coding between models of different cost, with a customer savings claim from DigitalOcean.
1:52ENAnthropic, Compute Capacity and the Competition for AI SubscribersMatthew Berman · Forward FutureMatthew Berman weighs a claimed compute constraint against model quality, subscription limits and the possibility of future self-improvement.
12:12ENKimi K3: Coding Benchmarks, Cost and the Open-Weight AI RaceMatthew Berman · Forward FutureMatthew Berman examines Kimi K3’s early benchmark results, its cost per task and a Rubik’s Cube simulator, while weighing their limits.
0:25ENApple’s June 2026 Price Increases and the Memory ShortageMatthew Berman · Forward FutureMatthew Berman links higher Mac and iPad prices to the demand for memory driven by AI infrastructure.
1:35ENDeepSeek V4 and the Cost of Frontier AI ModelsMatthew Berman · Forward FutureMatthew Berman argues that an open-weight Chinese model could put price pressure on US AI providers. The comparison depends on the workload, evaluation and cost assumptions.
1:11ENAnthropic’s Coding Flywheel and the Compute ConstraintMatthew Berman · Forward FutureMatthew Berman sketches a proposed feedback loop linking coding models, enterprise revenue, data and compute, then argues that capacity could slow it.
1:09ENThe Benefits and Tradeoffs of Running AI Models LocallyMatthew Berman · Forward FutureMatthew Berman weighs the privacy, control and costs of local models against technical complexity and performance tradeoffs.
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.
10:17ENAnthropic Subscription Credentials and OpenClaw: A 2026 Policy DisputeMatthew Berman · Forward FutureMatthew Berman explains why restrictions on Claude subscription OAuth credentials prompted him to change his OpenClaw model setup.
0:58ENWhy Inference Speed Matters for AI AgentsMatthew Berman · Forward FutureMatthew Berman argues that faster model output can make agent workflows more useful, pointing to new Claude and Codex releases in February 2026.
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