Search: “DeepSeek V3”

Before You Poll with LLMs: A Deliberative Diagnostic Framework

Deliberative diagnostic shows all five tested frontier LLMs misrepresent human belief shifts after arguments, with GPT-5.1 reversing on outgroup questions.

The Deliberative Polling Diagnostic Framework compares human and LLM persona belief shifts after identical informational interventions, using data from America in One Room (526 personas, 72 questions). All five frontier models tested failed uniquely: GPT-5.1 exhibited partisan reversal (80% on outgroup vs 26% on policy questions), Gemini 2.0 Flash, Claude Sonnet 4.5 and Llama 3.3 70B overshot at 5-7x human magnitude, and DeepSeek V3 showed near-zero change (rigidity). The authors term the underlying signature 'self-sycophancy', conformity to the model's internal persona stereotype rather than reasoning from provided information.

arXiv cs.AI / cs.LG / cs.CL·Sep 14, 16:41 UTC · 2d agoAI research

Latest open artifacts (#24): Motif-3, GLM-5.3, Hy4-preview and open model licenses

Interconnects surveys new open models—Motif-3, GLM-5.3, Hy4-preview—while analyzing a licensing split: Western labs opening up, Chinese frontier labs getting restrictive.

The roundup covers Motif-3 (MIT license, strong scores for its size), GLM-5.3 (switched from MIT to a custom license with a $10 billion revenue threshold and undefined 'affiliates' clause requiring Z.AI security review), and Tencent's Hy4-preview (competent but prone to overthinking). It also notes dots3-note-prev from RedNote/Xiaohongshu (won IMO 2026 with a perfect score), Qwen3.8-Flash-Next (125B-A6B with GDN and Qwen Sparse Attention), NVIDIA Nemotron-3.5-Lightning-30B-A3B-BF16, and Ling-3.0-flash. The core theme: Google and Meta adopted Apache 2.0 while Chinese frontier labs (Zhipu, Kimi K3, MiniMax M3) adopted restrictive commercial licenses.

Interconnects·Sep 8, 14:15 UTC · 8d agoAI research

Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool

Researchers present SMART, an ML performance-modeling library regenerated by AI coding agents from natural-language design docs instead of code.

The paper describes SMART, a symbolic performance-modeling library whose main branch contains almost no code: the repository is a DAG of self-contained design documents, and coding sub-agents regenerate implementations from only the docs on version updates. Reliability rests on a worked-example doc style used as in-context demonstrations and a minimal operator IR with SymPy cost expressions, offering both fast analytical roll-up and fine-grained modulo-scheduling modes. Regenerated implementations reproduce hand-audited reference models, including DeepSeek-V3 serving on a TPU pod slice, to round-off precision.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 17:08 UTC · 12d agoAI research1

[AINews] DeepSeek v4.1-Flash: 763B-P8B-D16B novel causal Encoder–Decoder architecture with vision marks the Return of the Whale

DeepSeek released V4.1-Flash, an open-weight 763B-parameter model with a novel causal encoder-decoder architecture, 1M context, vision input, and MIT license.

DeepSeek launched V4.1-Flash, an open-weight MIT-licensed model using a novel causal encoder-decoder architecture with 763B total parameters and asymmetric active parameters: 8B for prefill and 16B for decode. It supports 1M-token context and text+image input, priced at $0.30 per 1M input and $1.20 per 1M output tokens with a 50% off-peak discount. Artificial Analysis scored it 40 on its Intelligence Index, above DeepSeek V4 Pro 0813, and Vals ranked it the #1 open-weight model ahead of Kimi K3. Baseten shipped day-0 support and Ollama began rolling it out to paid subscribers.

Latent Space·Sep 12, 05:56 UTC · 5d agoModel release 2 sources1

Anthropic CEO Says Limiting China’s Access to AI Chips Is 'Existentially Important'

404 Media·Jan 29, 18:19 UTC · Jan 29, 2025AI industry

DeepSeek, Alibaba and Chinese AI Firms Extract Billions of Tokens From U.S. AI Models

NSA, CISA and FBI advisory AA26-251A accuses DeepSeek, Alibaba and four other Chinese AI firms of industrial-scale distillation of US frontier models.

Joint advisory AA26-251A from NSA, CISA and FBI accuses DeepSeek, Alibaba, Moonshot AI, MiniMax, StepFun and Z.AI of extracting billions of tokens from Claude, GPT, Gemini and Grok variants since at least late 2024, likely with Chinese government awareness. Campaigns allegedly used API proxy 'transfer stations', account pools, metadata sanitization and prompt injection to harvest reasoning, coding, agentic and reinforcement-learning capabilities, with techniques mapped to MITRE ATLAS. DeepSeek's R1 and V3 and Alibaba's Qwen families reportedly trained on harvested outputs, and DeepSeek's $5.6 million training-cost claim is disputed as excluding distilled data value. Agencies urge anomaly monitoring, output alteration for suspected extractors, and intelligence sharing across vendors, clouds and aggregators.

GBHackers·Sep 9, 08:29 UTC · 8d agoAI safety & security in the wild1· 1 read

US Agencies Warn China Is Systematically Extracting Frontier AI Capabilities

NSA, CISA and FBI warn Chinese AI firms including DeepSeek and Moonshot systematically extracted billions of tokens from US frontier models since late 2024.

The NSA, CISA, and FBI report that China-based AI companies including DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI extracted billions of tokens from US frontier models such as Claude, GPT-4/GPT-5, Gemini, and Grok 4 since late 2024. The distillation trained DeepSeek's R1 and V3 and Moonshot's Kimi-K2/K3 models, and the agencies mapped the tactics to MITRE ATLAS while noting additional novel techniques like subscription exploitation and request metadata sanitization. They describe the activity as a strategic economic threat to US technological leadership and recommend behavioral detection, differential privacy, and targeted cost-imposing responses.

SecurityWeek·Sep 9, 12:32 UTC · 7d agoAI safety & security in the wild1

U.S. Agencies Accuse China AI Firms of Distilling Claude, GPT, Gemini, and Grok

NSA, CISA and FBI accuse Chinese AI firms including DeepSeek of industrial-scale distillation of Claude, GPT, Gemini and Grok since late 2024.

A joint bulletin from the NSA, CISA and FBI accuses China-based AI firms including DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun and Z.AI of systematic, industrial-scale distillation of U.S. frontier models. The agencies say billions of tokens were extracted from Claude, GPT, Gemini and Grok variants since at least late 2024 through APIs, cloud relays, obfuscated accounts and gray-market proxies, likely with Chinese government backing. Firms allegedly shared premium subscriptions across developer teams and used chain-of-thought extraction and automated failover to evade blocks. Mitigations include subtly altering responses to suspected distillers and correlating activity across providers, clouds and aggregators.

The Hacker News·Sep 9, 09:32 UTC · 8d agoAI policy

CISA Warns Chinese AI Firms Extract Billions of Tokens From Claude, GPT, Gemini and Grok

CISA, NSA and FBI advisory says six Chinese AI firms extracted billions of tokens from Claude, GPT, Gemini and Grok via API proxies since late 2024.

A joint advisory from CISA, NSA and FBI alleges China-based AI companies including DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun and Z.AI harvested billions of tokens across millions of exchanges from Claude, GPT, Gemini and Grok variants since late 2024. Operators allegedly used API proxy 'transfer stations', account pools, bulk premium subscriptions and prompt injection or jailbreak-style requests to force models to reveal chain-of-thought reasoning. DeepSeek's R1 and V3 and Moonshot's Kimi-K2 and Kimi-K3 models reportedly benefited from the extracted data. CISA urged providers to add identity checks, monitor subscription-to-usage ratios, rate limit, and share infrastructure signals with cloud platforms.

Cyber Security News·Sep 9, 08:41 UTC · 8d agoAI safety & security in the wild

US Agencies Warn Chinese AI Firms Are Extracting Advanced AI Models

NSA, CISA, and FBI accuse six Chinese AI firms including DeepSeek and Alibaba of industrial-scale distillation of US frontier models.

A joint NSA, CISA, and FBI advisory alleges DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI extracted billions of tokens across millions of requests from US frontier models including Claude, GPT, Gemini, and Grok since at least late 2024. DeepSeek reportedly ran an organized campaign against Claude, GPT, and Gemini between late 2024 and mid-2025 that aided R1 and V3 development, including chain-of-thought reasoning extraction. Reported techniques included shared premium accounts, gray-market proxy 'transfer stations,' automated failover, and prompt injection that made Claude Code believe it was a MiniMax product. The advisory recommends detection signals such as 24/7 multi-IP account usage and covertly serving degraded responses to suspected distillers.

Security Affairs·Sep 9, 18:20 UTC · 7d agoAI safety & security in the wild1

Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses

Quesma benchmarks Qwen3.8 27B quantizations: 4-bit Q4_K_M matches BF16 on key benchmarks while 1-bit collapses to random chance.

Quesma spent roughly $3,000 on Modal GPUs testing Unsloth GGUF quantizations of Qwen3.8 27B across GPQA Diamond, IFBench, and Terminal-Bench 2.1. The 17 GB Q4_K_M quantization matched the 55 GB BF16 model on Terminal-Bench 2.1 and showed little degradation down to 4-bit, while the 2-bit UD-Q2_K_XL dropped noticeably. At 1-bit, scores on GPQA Diamond fell to random-guess levels, with longer reasoning making results worse, and reasoning effort settings significantly affected outcomes.

Hacker News · AI·Sep 8, 14:49 UTC · 8d agoAI researchHN 56↑ · 30 comments1

[AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)

Latent Space AI news roundup: Steve Yegge shuts down Gas Town, Databricks reports 60% higher coding spend on GPT-6 Astra, OpenAI launches misalignment disclosure framework.

Latent Space's AI News digest for September 15-16, 2026 leads with Steve Yegge shutting down his Gas Town orchestrator despite spending thousands monthly on coding-agent subscriptions. Databricks rolled out GPT-6 Astra to roughly 3,500 engineers, reporting superior long-horizon performance over Opus 5 and Sol 5.6 but a ~60% increase in coding spend. OpenAI published a formal framework for disclosing model misalignment incidents with six case reports, while Microsoft and Google Research released safety papers on 'capability laundering' and the Fuse motive-inference benchmark. Xiaomi shared live RL training telemetry for MiMo-V2.6, estimated at $493k/day for the 1T-class Pro run.

Latent Space·07:28 UTC · 3h agoAI industry 13 sources