Ergebnisse
16 ArtikelSortieren
0:55ENAGI, Recursive Self-Improvement and SuperintelligenceMatthew Berman · Forward FutureMatthew Berman introduces three AI terms and explains his expectations about their possible progression.
11:15ENARC-AGI-3: Testing How AI Agents Learn the Rules of Unfamiliar GamesMatthew Berman · Forward FutureMatthew Berman explains ARC’s earlier grid puzzles and plays an interactive ARC-AGI-3 level, then examines early model results. The benchmark tests a specific form of adaptation rather than settling whether a system has general intelligence.
1:30ENAn AI-Generated Proof for Erdős Problem 397Matthew Berman · Forward FutureMatthew Berman discusses Neel Somani's GPT-5.2 Pro-assisted proof and speculates about self-improving AI. Later research found that the problem already had a published human solution.
11:57ENOpenAI’s 2025 Restructuring: Nonprofit Control and a Public Benefit CorporationMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s May 2025 plan to retain nonprofit control while converting its existing for-profit arm, and discusses funding pressures and Elon Musk’s objections.
7:57ENStargate’s 2025 Announcement and the OpenAI–Microsoft PartnershipMatthew Berman · Forward FutureMatthew Berman reviews the planned US AI infrastructure project and a contemporaneous change to compute arrangements.
27:42ENMatthew Berman on Capital, Human Ambition, and a Possible Post-AGI EconomyMatthew Berman · Forward FutureA speculative essay asks whether advanced AI could make wealth more powerful while reducing the leverage people gain from work. Berman explores its implications for mobility, institutions, and meaning.
21:02ENReactions to OpenAI’s 2024 o3 Preview: Benchmarks, Cost and LimitsMatthew Berman · Forward FutureMatthew Berman surveys the responses to the o3 preview, from mathematical benchmarks to debates about AGI, compute and reliability.
11:10ENAI and Scientific Discovery: A 2024 Video’s Withdrawn StudyMatthew Berman · Forward FutureMatthew Berman discusses AI-assisted research and recursive improvement; the central preprint was later withdrawn over serious data-validity concerns.
24:40ENMiles Brundage on Leaving OpenAI and Preparing for AGIMatthew Berman · Forward FutureMatthew Berman reviews the departing policy researcher’s argument for independent governance work, public readiness and a more equitable distribution of AI’s benefits.
13:34ENSam Altman’s “Intelligence Age”: Superintelligence, Scaling and WorkMatthew Berman · Forward FutureMatthew Berman reads Altman’s 2024 essay and discusses its predictions for AI assistants, education, infrastructure and jobs.
18:43ENSakana AI's AI Scientist and the Prospect of Automated ResearchMatthew Berman · Forward FutureMatthew Berman explores a 2024 system for generating and evaluating machine-learning research, and argues that automation could eventually accelerate AI progress.
16:06ENQ* and Strawberry: What Was Known and Speculated in August 2024Matthew Berman · Forward FutureMatthew Berman reviews contemporary rumors and research concepts around reasoning, search and self-play, while the underlying project remained undisclosed.
14:15ENOpenAI’s Reported Strawberry Project and a Five-Level AGI FrameworkMatthew Berman · Forward FutureMatthew Berman examines 2024 reporting on a reasoning project, long-horizon tasks and a proposed scale for AI capabilities.
40:19ENMusk's 2024 OpenAI Lawsuit: The Allegations, History and Later ProceedingsMatthew Berman · Forward FutureMatthew Berman examines Musk's complaint about OpenAI's mission and governance. Its claims about AGI and the 2023 board crisis were allegations, not court findings.
10:44ENCan AI Help Humans Align More Powerful AI?Matthew Berman · Forward FutureMatthew Berman examines OpenAI’s 2023 Superalignment proposal, its plans for AI-assisted oversight, and the unanswered question of who evaluates the evaluators.
7:53ENHuggingGPT: Using a Language Model to Coordinate AI ToolsMatthew Berman · Forward FutureMatthew Berman explains a research system that routes multimodal tasks to specialist models using a language model as controller.









