Résultats
23 articlesTrier
21:29EN
Matthew Berman· 7 oct. 2026Mistral Large 4 Preview: European Open Weights, Cyber Benchmarks and Setup FrictionMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported specifications and benchmarks, then tests it in an agent coding workflow.
16:50ENMatthew Berman· 3 sept. 2026Gemini 3.8 Flash: Benchmarks, Cost and Hands-On Coding TestsMatthew Berman · Forward FutureMatthew Berman compares Google's September 2026 model announcement with several practical visual and web-building examples.
1:51ENMatthew Berman· 28 août 2026A Vibe-Coding Skit About Authorization and SuperblocksMatthew Berman · Forward FutureA fictional customer-portal mishap illustrates server-side authorization risks before introducing Superblocks as a proposed governance tool.
17:15ENMatthew Berman· 28 août 2026The Hugging Face Incident: AI Evaluation, Sandbox Escape and Reward HackingMatthew Berman · Forward FutureMatthew Berman explains the reported OpenAI evaluation incident and the security and incentive failures it exposed.
27:13ENMatthew Berman· 21 juil. 2026Kimi K3 and the Debate Over Open-Weight AIMatthew Berman · Forward FutureMatthew Berman examines model economics, competition and security arguments after Moonshot AI’s Kimi K3 announcement.
1:42:54ENMatthew Berman· 12 mai 2026AI and Cybersecurity: Matthew Berman’s Warnings, Predictions and Open QuestionsMatthew Berman · Forward FutureA livestream reviews reported AI-assisted threats and debates whether stronger defensive models can keep pace with attackers.
2:27:51ENMatthew Berman· 17 avr. 2026Testing Claude Opus 4.7 and Building for an Agent-First InternetMatthew Berman · Forward FutureMatthew Berman tests Claude Design, examines early Opus 4.7 reactions and debugs an experimental agent chat live.
0:28ENMatthew Berman· 15 avr. 2026Matthew Berman on Claude Mythos and Software VulnerabilitiesMatthew Berman · Forward FutureAnthropic reports that its security research model has found serious software flaws; Berman asks what such capabilities mean for the concentration of power.
1:15ENMatthew Berman· 14 avr. 2026Matthew Berman Reacts to Claude Mythos Preview’s Cybersecurity FindingsMatthew Berman · Forward FutureBerman discusses Anthropic’s reported vulnerability discoveries and warns about their potential implications.
25:15ENMatthew Berman· 8 avr. 2026Matthew Berman on Claude Mythos, Project Glasswing and AI SecurityMatthew Berman · Forward FutureBerman examines Anthropic’s limited cybersecurity preview and its reported capabilities, then weighs the promise and risks of increasingly capable AI systems.
34:04ENMatthew Berman· 18 mars 2026How Matthew Berman Organizes and Secures His OpenClaw SetupMatthew Berman, Jensen Huang · Forward FutureA walkthrough of topic threads, model routing, delegated agents, schedules, layered security and maintenance practices for a personal AI assistant.
33:44ENMatthew Berman· 17 févr. 2026How Matthew Berman Uses OpenClaw for a Personal AssistantMatthew Berman · Forward FutureA tour of customized CRM, meeting, research and security workflows, along with the limits of automation and the need for backups.
12:23ENMatthew Berman· 31 janv. 2026Moltbook: An AI Agent Social Network and Its Security QuestionsMatthew Berman · Forward FutureMatthew Berman explores conversations attributed to AI agents on Moltbook and considers privacy, manipulation and operating costs.
21:12ENMatthew Berman· 26 janv. 2026Clawdbot as a Personal AI Assistant: Workflows, Costs and RisksMatthew Berman · Forward FutureMatthew Berman demonstrates a local agent connected to messaging, cloud services and models, and reports what worked, failed and cost more than expected.
40:24ENMatthew Berman· 28 nov. 2025Microsoft’s Jay Parikh on AI Infrastructure, Model Choice and Agent SecurityMatthew Berman, Jay Parikh · Forward FutureThe CoreAI leader discusses power constraints, developer workflows, enterprise models and why he measures outcomes rather than generated lines of code.
18:04ENMatthew Berman· 16 nov. 2025Anthropic’s Report on an AI-Orchestrated Espionage CampaignMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s account of a 2025 cyber-espionage operation, its claimed automation and its limitations.
0:54ENMatthew Berman· 16 juin 2025Satya Nadella on Separating Personal and Work AI AgentsMatthew Berman, Satya Nadella · Forward FutureIn an interview excerpt, Microsoft CEO Satya Nadella discusses identity boundaries and the risk of data leakage between personal and corporate agents.
12:57ENMatthew Berman· 3 déc. 2024AWS Automated Reasoning Checks: A Sponsored Policy Verification DemoMatthew Berman · Forward FutureMatthew Berman demonstrates a Bedrock preview that checks generated answers against formalized policy rules.
10:20ENMatthew Berman· 30 nov. 2024How the Freysa AI Agent Was Persuaded to Release a Crypto Prize PoolMatthew Berman · Forward FutureMatthew Berman examines a 2024 adversarial game in which a misleading message caused an AI agent to approve a 13.19 ETH payout.
18:57ENMatthew Berman· 9 juil. 2024AI News in July 2024: Small Models, Voice Tools and OpenAI SecurityMatthew Berman, Andrej Karpathy · Forward FutureMatthew Berman reviews AI product announcements, model evaluation and security reporting, and shares his predictions about the future of computing.
10:16ENMatthew Berman· 21 mai 2023DarkBERT: Adapting a Language Model to Dark-Web TextMatthew Berman · Forward FutureMatthew Berman reviews research on a RoBERTa-based model and its cybersecurity evaluations.
57:23ENMatthew Berman· 18 mai 2023Sam Altman, Gary Marcus and IBM Testify on AI Risks: Matthew Berman ReactsMatthew Berman, Sam Altman, Christina Montgomery, Gary Marcus, Richard Blumenthal, Josh Hawley, Amy Klobuchar, Mazie Hirono, John Kennedy, Chris Coons, Peter Welch · Forward FutureBerman reviews selected 2023 Senate hearing excerpts on safety testing, misinformation, jobs, licensing and the proposed AI pause.
1:13:52ENMatthew Berman· 15 avr. 2023Andriy Mulyar on GPT4All, Data Quality and Open Local ModelsMatthew Berman, Andriy Mulyar · Forward FutureThe Nomic AI co-founder explains how GPT4All emerged, why training data matters, and the tradeoffs between local and centralized AI.