En 30 secondes
In this June 2024 NVIDIA partner video, Matthew Berman highlights announcements from Computex: Project G-Assist, NVIDIA ACE, AI laptops, the RTX AI Toolkit and RTX acceleration for ComfyUI. His descriptions reflect the products and plans presented at the time.
- 1A game assistantBerman introduces Project G-Assist as an RTX-powered assistant with game context.
- 2Digital charactersHe discusses NVIDIA ACE and shows a digital human demonstration.
- 3Laptops and toolsHe mentions local AI laptop capabilities and the RTX AI Toolkit.
- 4Image-generation accelerationHe says ComfyUI supports RTX acceleration and discloses NVIDIA’s partnership.
À retenir
- Project G-Assist was presented as an RTX-powered assistant for questions about games.
- Berman discusses NVIDIA ACE and its use for digital characters.
- NVIDIA also announced AI laptop and developer-tool initiatives.
- The video is a disclosed partnership with NVIDIA and reflects the June 2024 announcements.
Lire le texte remanié, chapitre par chapitre
G-Assist and ACE
Berman introduces a gaming assistant and digital characters among NVIDIA’s Computex announcements. He presents the video in partnership with NVIDIA.
At Computex 2024, NVIDIA CEO Jensen Huang made several AI announcements. Project G-Assist is an RTX-powered assistant intended to use the context of the game you’re playing and answer questions about it.
NVIDIA ACE is another announcement: I describe digital humans that look realistic and are generated rather than pre-rendered. The video shows an example of a digital character.
AI laptops and developer tools
He highlights RTX-powered laptops, an AI toolkit and ComfyUI acceleration. His comments reflect the 2024 announcements.
NVIDIA also announced RTX-powered AI laptops intended to run parts of the Copilot+ experience locally on Windows. The RTX AI Toolkit provides tools for model development and deployment; I plan to try them.
For text-to-image generation, I say ComfyUI now supports RTX acceleration. NVIDIA partnered with me on this video, and I point viewers to its AI Decoded blog for more information.
Sur la même chaîne
14:45EN
Matthew Berman· 29 oct. 2026Matthew Berman Examines Google’s Gemini 4 Carbon AnnouncementMatthew Berman · Forward FutureMatthew Berman reviews Google’s reported benchmark results, staged rollout and pricing for Gemini 4 Carbon, while noting he has not yet used the model.
21:11ENMatthew Berman· 28 oct. 2026Matthew Berman tests DeepSeek V4.1 Flash: coding, vision and local appsMatthew Berman · Forward FutureA hands-on tour of visual coding, image reasoning, local applications and provider economics reveals both impressive results and visible flaws.
34:21ENMatthew Berman· 27 oct. 2026Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.
0:26ENMatthew Berman· 25 oct. 2026Sam Altman on Human Values and Problem-Solving in an AI WorldSam Altman · OpenAIIn a short interview excerpt, Altman considers the enjoyment of solving hard problems and the human role in interpreting results.
0:36ENMatthew Berman· 25 oct. 2026Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.
0:21ENMatthew Berman· 24 oct. 2026An AI-Generated Kimi Benchmark Chart Used Invented ScoresMatthew Berman · Forward FutureMatthew Berman asks for a graph of Kimi K3.1 Pro benchmarks, then discovers that the displayed figures are illustrative placeholders.