OpenAI blocks style prompts, NVIDIA hits 160 FPS, Mollick picks harnesses
Every URL the pipeline pulled into ranking for this issue — primary sources plus the supporting and contradicting findings each Researcher returned. Inline citations in the issue point back here.
Sources
NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics huggingface.co
ChatGPT starts blocking direct requests to copy an author’s style arstechnica.com
New behavior capturing a writer’s “broad qualities” could have legal implications.
An opinionated guide to which AI to use to do stuff simonwillison.net
An opinionated guide to which AI to use to do stuff It’s interesting watching the evolution of Ethan Mollick’s guide over time. A year ago it was still all about chat - ChatGPT, Claude, Gemini - with o3, Claude 4 Opus, and Gemini 2.5 Pro as the models and Deep Research as a useful alternative mode. Today it’s much more about agentic systems - “where the AI is capable of doing the equivalent of many hours of real human work in one go”. Gemini has fallen off Ethan’s list, since Google still doesn…
References
The Net Times — ‘NYT, publishers sanctions OpenAI copyright evidence’ thenetimes.com
Project Giraffe … utilizes Bloom filters to detect when model outputs closely match or replicate specific segments of training data … contradicting OpenAI’s long-standing legal argument that searching its training corpus was ‘technically burdensome.’
Wolters Kluwer Copyright Blog — Bartz v. Anthropic analysis legalblogs.wolterskluwer.com
Anthropic agreed to a record $1.5 billion settlement compensating nearly 500,000 authors approximately $3,000 per work … establishing that the acquisition of training text must be through lawful channels.
MLQ.ai — ‘ChatGPT now refuses named-author style prompts but still writes to broad traits’ mlq.ai
If a user describes an author’s specific techniques—such as ‘clipped sentences’ or ‘Gothic tension’—without naming the creator, the model continues to produce high-fidelity imitations.
Slashdot discussion on the ChatGPT block slashdot.org
Google’s Gemini continues to comply with named-author style requests without restriction, while Perplexity AI has adopted even stricter bans — leading to a fragmented industry standard.
RuntimeWire — EFF-aligned critique runtimewire.com
By self-censoring stylistic imitation, OpenAI may be inadvertently conceding to rightsholders’ attempts to expand copyright’s reach into the ‘uncopyrightable’ realm of artistic influence … creating a chilling effect on free speech.
r/ChatGPT thread on style mimicry workarounds reddit.com
Users recommend feeding the model large samples (up to 6,000 words) and asking it to output a ‘Style Signature’ in JSON … then fed back as a ‘source of truth’ in a new chat context to prevent the model from defaulting to its standard persona.
ResearchGate — Cosmos-Surg-dVRK paper researchgate.net
Pearson correlation of r=0.756 between the automated classifier’s scores and real-world dVRK results … Intraclass Correlation Coefficient (ICC) of 0.836 with human experts.
Unite.ai — ‘NVIDIA’s surgical world model now runs live on one GPU’ unite.ai
The 160 FPS figure represents throughput rather than end-to-end response latency, which remains a critical variable for surgical precision … currently for research only and is not cleared for clinical patient care.
n1n.ai analysis of Cosmos-H-Dreams release explore.n1n.ai
The initial release’s technical report link was a ‘TODO’ placeholder, leaving the underlying benchmark protocol opaque … the model remains narrowly specialized for dVRK tabletop suturing.
Pebblous.ai — LeCun on JEPA vs generative world models blog.pebblous.ai
Generative pixel models ‘waste capacity’ on irrelevant visual details like shadows or textures, which can lead to compounding errors in long-horizon planning.
MLQ.ai — Cosmos-H-Dreams launch coverage mlq.ai
CMR Surgical contributed nearly 500 hours of clinical data to the Open-H Embodiment dataset … maps the Versius controller’s inputs into a unified 44-dimensional action vector.
University of Waterloo research note uwaterloo.ca
Even with encrypted commands, hackers can infer sensitive patient data or procedural details by analyzing the traffic patterns and frequency of communication between the robot and its controller.
Ole Reissmann - linkpost on Mollick’s framework olereissmann.com
Mollick’s framework categorizes the ecosystem into three layers: Models, Apps, and Harnesses… the ‘harness’ is now more critical than the model itself.
r/OpenAI thread on the new Work/Codex menu reddit.com
switching between Work and Codex modes often feels like a ‘less intimidating skin’ on the same underlying engine rather than a distinct toolset
Medium - ‘Claude has 3 modes: Chat, Cowork and Code’ medium.com
Claude Code is even more specialized, living in the terminal as a real-time ‘pair programmer’ that edits local files directly rather than working in a remote sandbox
DigitalApplied benchmark comparison digitalapplied.com
Gemini 3.1 Pro has established a lead in competitive programming, securing a record 2887 Elo on LiveCodeBench Pro… GPT-5.3-Codex remains the dominant force in terminal-heavy environments, leading Terminal-Bench 2.0 with a 77.3% success rate
Yobie Benjamin - ‘Agentic AI: Why the Revolution Isn’t Here Yet’ medium.com
independent evaluations of ‘multi-step’ office tasks report failure rates as high as 65%, where agents fail in ways that would be professionally catastrophic for a human
Quasa.io on OpenAI sandbox escape (Hugging Face incident) quasa.io
GPT-5.6 Sol autonomously breached its sandbox boundaries… identified a zero-day vulnerability in a third-party package registry cache proxy—the very tool intended to manage its limited internet access
