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Valve's Answer to AI Slop and Clone Games on Steam: We Won't Police Developers' Tools
At Steam Indie Connect in Korea, Valve staff addressed AI slop and clone games head-on: no gatekeeping on AI tools, and the best defense against clones is community and steady updates.
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Newest publishedStep 5 Preview Cache Hit Price Doubles Nov 6—Why Your Total Bill Might Not
Tencent Cloud's TokenHub & CloudBase notice raises Step 5 Preview (step-5-preview) cache-hit input from 2026-11-06 00:00:00 Asia/Shanghai: Guangzhou 0.35→0.70, Singapore 0.36→0.72 RMB/M tokens. Miss input and output stay unchanged (numbers not listed). As of 2026-11-04, still a preview—not yet live. A doubled cache-hit line ≠ a doubled total bill; impact tracks hit share. TokenHub/CloudBase only, not a StepFun all-channel hike. DigIntoAI has not checked bills or hit rates—figures follow the Tencent Cloud notice.
Tencent Hy4 Hits TokenHub and OpenRouter—Vision In, 50% Off Through Year-End
TokenHub listed formal Hy4 (hy4) on 2026-11-04 12:13:30, adding image understanding vs Hy4 preview, with 1M / 960k / 64k, deep thinking, structured output, Function Calling, and Cache. List 6 / 18 / 0.3 RMB/M tokens; documented 50% through 2026-12-31 23:59:59 Beijing time → about 3 / 9 (estimate; bill unchecked). OpenRouter tencent/hy4 at 2026-11-04 12:20:31 Asia/Shanghai (created=1793766031): ~$0.417 / $1.251/M, 50% off, text+image→text. DigIntoAI has not called Hy4.
Claude Text Watermarks Now Cover Mythos 5, Opus 4.7, and Sonnet 4.6—Detection Still Private
On 2026-11-03, Claude Platform release notes state that text from Claude Mythos 5, Claude Opus 4.7, and Claude Sonnet 4.6 carries Anthropic’s text watermark—an expansion of coverage, not a brand-new marking stack. Help Center tables list those models (and others); Amazon Bedrock rollout completes by 2026-11-10; Sonnet 4.6 with non-default temperature/top_p/top_k may omit the mark. Watermark detection remains private preview for eligible organizations. DigIntoAI has not retested detection, sampling edges, or Bedrock region progress.
AWS Distills GLM-5.3 Into a Qwen3.5-4B Shopping Agent—Near the Teacher, With Tradeoffs
AWS Machine Learning Blog (02 NOV 2026; Zappia et al.) shows SeqKD of a shopping agent: Bedrock GLM-5.3 teacher → ShoppingBench rejection sampling → LoRA SFT on Qwen3.5-4B (SageMaker AI). Held-out 324 problems, single LoRA run: student ASR 0.541 vs greedy teacher 0.540 vs base 0.297; tool-only 0.415; IFEval ≈6–8 pts down. No per-task cost/latency published. AWS-reported; we haven't retested.
Claude Code 2.1.318 Adds Login Expiry Warnings and Stops Auto-Installing IDE Extensions
Anthropic pushed Claude Code 2.1.318 to npm as latest (same as next). Package time 2026-11-03T21:55:17.247Z (2026-11-04 05:55 Asia/Shanghai); modified and GitHub Release v2.1.318 land around 2026-11-04 08:01 Asia/Shanghai. stable stays 2.1.311. CHANGELOG: loginExpiresAt / credential_expires_at plus a 10-day stderr warning; IDE terminals no longer auto-install or update the IDE extension (/ide or the editor extensions view). DigIntoAI has not installed or exercised this build.
Claude Pricing (November 2026)
Claude.ai subscription map for November 2026 (USD, ex-tax): Free $0; Pro $20/mo or $17/mo with $200 annual prepay; Max $100/mo; Ultra $200/mo. Comparison table: Free Limited/Limited on 5-hour and weekly windows; Pro 1x/1x; Max 5x/5x; Ultra no 5-hour limit for verified accounts / 10x weekly. Max includes $100/mo API credits; Ultra $200/mo. Team Standard $20/$25 per seat; Premium $100/$125; seats mixable for 2–150 people; pooled Team API credits cap $500/mo. Enterprise US$20/seat/mo annual with 20-seat minimum plus usage at API rates. Separate from the Claude API model wall. For reference only.
Why Does the Same DeepSeek Score So Differently Across ARC-AGI-3 Harnesses?
On the ARC Prize official results page for DeepSeek V4.1 Flash 1017 (page label Oct 17, 2026 · 5 harness configurations), the same model at the same max reasoning setting scores 0.2% on ARC-AGI-3 under Standard and 5.8% under Provider Adapter. The gap is the evaluation harness—kept notes versus opaque state plus compaction—not a new weight drop. Same-page Semi-Private peaks: v1 high 94.5%, v2 max 78.1%. Figures are ARC Prize self-reports; we haven't retested.
How Do You Prove an API Didn't Swap Models? Anthropic Opens FlashProve
On 2026-11-02, Anthropic’s Frontier Red Team published *Progress on provable inference for large language models* and open-sourced FlashProve: a zkSNARK research prototype for Commit→Prove→Verify. A provider can commit to weights without publishing them, then attach a checkable proof that a reply came from those committed weights. The proof covers model identity and the inference path—not factual correctness. Official Maverick figures are self-reported; we have not retested. This is not a Claude API feature already live for all users.
Perplexity Opens Multimodal Retrieval Embeddings—Why Document Chunks Need Context
On 2026-11-03 09:09:18 Asia/Shanghai, pplx-announcements posted open-weight vision-language embeddings pplx-embed-v2-context (9B / 0.6B). Contextual mode encodes chunks with surrounding document context; both sizes share a 1024-d MRL prefix. Paper arXiv:2610.38854 was submitted 2026-10-28—not a same-day first appearance. Ordinary vs contextual chunking and encode_queries vs encode are laid out below. Card SOTA lines are self-reported; we have not retested recall, VRAM, or multilingual retrieval.
Can SenseNova 6.8 Flash Deliver Editable Dynamic PPT? A From-Generate-to-Revise Checklist
SenseTime’s SenseNova site shows SenseNova 6.8 Flash as a formal release for lasting office work and dynamic PPT, posters, pages, and 3D. IT Home ties the announce to the evening of 2026-11-02. The detail page sells narrative-timed PPTX motion in one pass, but office case captions cite Xiaohuanxiong’s internal R&D build—not every-account proactive office. This is an untested generate-to-revise checklist; we have not measured delivery or revise quality, and have not re-run vendor or press scores.
Deep Principle Opens Hydrogen-1.0 on GLM-5.3, Open Weights Still Need a Runtime
Deep Principle’s blog (2026-11-02) shipped Hydrogen-1.0: scientific post-training on GLM-5.3, open BF16/MIT weights—not a Zhipu flagship. HF main is gated=auto; ModelScope mirrors weights; NeuroSpark/Mira are separate. Cards show SGLang/quant deploys, but hubs ≠ hosted chat, and full data/recipes are not shipped. Blog scores = self-reported; we have not re-run them.
OpenAI Plans Next Security Sprint and Raises Bug Bounty Rewards
On 2026-11-03 ~10:29 Asia/Shanghai, OpenAI plans a next internal security sprint with Cathedral Systems and raises Security Bug Bounty rewards. Blogs (November 2, 2026): midpoints for medium/high/critical more than quadrupling on average; ChatGPT/Codex/API critical up to $30,000; exceptional eligible up to $172,000 with bonuses. Make-ups for awaiting awards and past-30-day payouts. DigIntoAI hasn't re-run the bounty math or reproduced vulnerabilities.
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