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posts · 2026-05-20

▸ 24 items · updated 3m ago
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2026-05-20 · Wed
04:27
69d ago
AI Era (新智元) · WeChat· rssZH04:27 · 05·20
→NUS, Oxford and Others Release an Audio-Visual Intelligence Survey for the LLM Era
NUS, Oxford and nearly 10 other institutions released an AVI survey that organizes audio-visual intelligence around understanding, generation, and interaction, and the paper lists six future research axes including causal grounding, AV world models, long-context memory, controllable generation, verifier rewards, and responsible real-time interaction.
#Multimodal#Audio#Vision#NUS
editor take
NUS and nine-ish partners map AVI into 3 tracks and 6 axes; the sore spot is evaluation, where FAD/FVD still underfit interactive AV systems.
HKR breakdown
hook —knowledge ✓resonance —
→ open source
64
SCORE
H0·K1·R0
04:10
69d ago
Bloomberg Technology· rssEN04:10 · 05·20
→Tesla and Robotaxis 'Are About to Take Off,' Cathie Wood Says
Cathie Wood said embodied AI’s largest revenue opportunity is in transportation and said Tesla and robotaxis are “about to take off”; the RSS snippet does not disclose revenue size, launch timelines, or vehicle conditions.
#Robotics#Cathie Wood#Ark Investment Management#Tesla
editor take
Cathie Wood backs Tesla robotaxis; revenue size and launch timing are undisclosed. Honestly, this smells like ARK position talk.
HKR breakdown
hook ✓knowledge —resonance —
→ open source
45
SCORE
H1·K0·R0
04:09
69d ago
FEATUREDAI HOT (Curated Pool)· aihot-apiZH04:09 · 05·20
→Kling AI Launches the First Native 4K Video Generation Model
Kling AI launched a native 4K video generation model on April 23, supporting one-click true 4K video generation; the post says Hollywood teams and Wonder Studios have adopted it, but does not disclose pricing, inference cost, or access limits.
#Multimodal#Vision#Kling AI#Wonder Studios
why featured
Featured · importance 72 · hook + knowledge
editor take
Kling’s native-4K claim is a good land grab, but no pricing, duration, latency, or failure rate means the workflow claim is still mostly vapor.
sharp
Kling is selling production credibility here, not just resolution. The headline says “world’s first native 4K,” and the body gives one-click true 4K plus adoption by Hollywood teams and Wonder Studios. It does not give pricing, inference cost, clip length, access limits, or any blind comparison against upscaling. For production teams, 4K pixels are cheap; stable characters, shot continuity, and predictable retry cost are the scarce parts. Wonder Studios’ point about native 4K avoiding upscaler-induced character deformation is the right hook. Runway, Pika, and Sora-class systems have all run into the same “sharp but unstable” wall. But without failure rate or generation speed, I’d treat this as Kling buying a ticket into high-end production, not proof that the pipeline is solved.
HKR breakdown
hook ✓knowledge ✓resonance —
→ open source
72
SCORE
H1·K1·R0
04:01
69d ago
FEATUREDAI HOT (Curated Pool)· aihot-apiZH04:01 · 05·20
→OpenAI offers $2 million API investment to every YC startup
OpenAI is offering each startup in Y Combinator’s current batch $2 million in API credits in exchange for equity; the post does not disclose the equity stake, credit expiration, or usage limits.
#Tools#OpenAI#Y Combinator#Sam Altman
why featured
Featured · importance 78 · hook + knowledge + resonance
editor take
OpenAI is giving each YC startup $2M in API credits for equity; generosity is the cover, stack capture is the play.
sharp
OpenAI is trading $2M in API credits for equity in each current YC startup; that looks less like investing and more like prepaid distribution. The missing terms matter: equity stake, credit expiry, model access, rate limits, and resale rules are not disclosed. Without them, $2M is a sticker price, not cash value. Early YC teams will wire prototypes, evals, logs, and user flows around OpenAI’s API before they know which parts are durable. Sam Altman’s Yuri Milner reference is a neat origin story, but cloud providers already ran this play. AWS and Google Cloud used credits to become default infrastructure. OpenAI is moving the same tactic up to the model layer. The risk for founders is not cheap inference; it is letting GPT pricing, latency, and tool-call behavior shape the product before the market does.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
78
SCORE
H1·K1·R1
04:00
69d ago
FEATUREDFinancial Times · Technology· rssEN04:00 · 05·20
→Nvidia’s Huang Bankrolls AI Boom with $90bn Deal Spree
Nvidia’s Jensen Huang is funding an AI deal spree worth $90bn; the RSS snippet says the chipmaker’s spending rivals Big Tech’s largest venture operations and ties customers and start-ups to Nvidia’s technology.
#Nvidia#Jensen Huang#Funding#Partnership
why featured
Featured · importance 84 · hook + knowledge + resonance
editor take
Only the title and snippet are usable: Nvidia’s $90B spree reads less like VC and more like financing demand for its own GPU stack.
sharp
Nvidia’s $90B deal spree looks like demand refinancing, not casual venture investing. The usable facts are thin: FT’s body is blocked by a 403, and the RSS snippet says the spend rivals Big Tech’s largest venture operations while tying customers and start-ups to Nvidia technology. That framing matters because GPU buying has become a financing test. CoreWeave, OpenAI, cloud providers, and sovereign AI programs have all been competing for H100 and Blackwell supply. If Huang uses investments, prepayments, and supply agreements to lock buyers into CUDA and Nvidia networking, the reported demand gets harder to read. Some of it is customer pull; some of it may be Nvidia manufacturing purchasing power for the ecosystem it sells into.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
84
SCORE
H1·K1·R1
04:00
69d ago
Financial Times · Technology· rssEN04:00 · 05·20
→Harvey's Winston Weinberg: Why AI Will Force Lawyers to Change Their Fee Structure
Harvey co-founder Winston Weinberg discusses AI’s pressure on law firm business models, but the RSS snippet does not disclose the proposed fee structure, timeline, or product details.
#Harvey#Winston Weinberg#Commentary
editor take
FT only exposes Harvey’s law-fee angle; the body is 403, with no pricing, timeline, or product detail.
HKR breakdown
hook ✓knowledge —resonance ✓
→ open source
64
SCORE
H1·K0·R1
04:00
69d ago
Financial Times · Technology· rssEN04:00 · 05·20
→AI Labs: Sam Altman May Make or Break OpenAI
FT frames Sam Altman as a decisive factor in OpenAI’s trajectory, asking whether the chief executive is its greatest asset or liability; the RSS snippet provides no specific incident, financial metric, governance mechanism, board condition, or timeline to substantiate the claim.
#Sam Altman#OpenAI#Financial Times#Commentary
editor take
FT only asks asset or liability, with no metrics or governance detail; I don’t buy CEO-personality handicapping.
HKR breakdown
hook ✓knowledge —resonance ✓
→ open source
62
SCORE
H1·K0·R1
03:58
69d ago
QbitAI (量子位) · WeChat· rssZH03:58 · 05·20
→VCs, Brand Consultants, and Screenwriters Are Turning Themselves into AI
Profy launched an expert digital-twin product on May 19, saying it uses multi-agent orchestration, tacit-knowledge capture, and a five-layer cognition pipeline to reduce an investment due-diligence workflow from five days to under two hours.
#Agent#Tools#Memory#Profy
editor take
Profy claims due diligence drops from 5 days to under 2 hours; I don’t buy the HLE +20 claim without baseline, sample, or replication.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
68
SCORE
H1·K1·R1
03:49
69d ago
● P1Synced (机器之心) · WeChat· rssZH03:49 · 05·20
→Google announces Gemini 3.5 Flash and AI-powered search upgrades at I/O
Google announced Gemini 3.5 Flash at I/O and added AI Mode directly to Search; the company said its AI services now process over 3.2 quadrillion tokens per month, with more than 8.5 million developers using Gemini.
#Agent#Multimodal#Code#Google
why featured
Featured · importance 100 · hook + knowledge + resonance
editor take
Google turning Search into a Gemini front end has one hard number: 1B AI Mode MAUs. I read it as ad-defense, not proof users love AI search.
sharp
All 3 outlets frame this as Search’s biggest change in 25 years, and the hard numbers trace back to Google’s I/O line: AI Mode has 1B monthly users, with queries doubling each quarter. My read: Google is admitting the keyword box is aging, but it still won’t let Search become a pure chat product. The new box takes text, images, video, files, and Chrome tabs; AI Overviews now support follow-up turns; the information agent will scan blogs, news, finance, and sports feeds 24/7. The wild part is packaging: the most Perplexity-like and ChatGPT Search-like behavior sits behind Google AI Pro and Ultra, while free users get generated interfaces and local services. Google is moving user habits without detonating its ad inventory.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
100
SCORE
H1·K1·R1
03:49
69d ago
Synced (机器之心) · WeChat· rssZH03:49 · 05·20
→ACL 2026: VChain Adds Chain-of-Visual-Thought to Video Generation
NTU researchers presented VChain at ACL 2026 Findings, using LMMs such as GPT-4o to generate visual thought keyframes and apply sparse LoRA adaptation to a pretrained video generator at inference time.
#Multimodal#Reasoning#Vision#Nanyang Technological University
editor take
VChain uses GPT-4o keyframes plus inference-time LoRA; I buy the pipeline, not the “physics understanding” framing.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
69
SCORE
H1·K1·R1
03:49
69d ago
Synced (机器之心) · WeChat· rssZH03:49 · 05·20
→ByteDance Scholarship Opens Globally for the First Time, Tracking 67 Winners Over Five Years
ByteDance opened its 2026 scholarship to global applicants for the first time, with each winner receiving RMB 200,000 and the adviser receiving RMB 100,000 in matching research funding; the first five cohorts supported 67 young researchers.
#Multimodal#Robotics#Inference-opt#ByteDance
editor take
ByteDance pays RMB200k per student and RMB100k per adviser; global access turns this into a recruiting funnel test.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
64
SCORE
H1·K1·R1
03:43
69d ago
Bloomberg Technology· rssEN03:43 · 05·20
→Alibaba Unveils New AI Chip for Training and Inferencing
Alibaba unveiled a new processor for AI training and inference, according to the title; the RSS snippet only says Alibaba added it to its AI technology stack and does not disclose process node, performance metrics, pricing, customers, or shipment timing.
#Inference-opt#Alibaba#Product update
editor take
Alibaba launched an AI training/inference chip; no node, benchmarks, pricing, or shipment timing disclosed. Treat it as stack-completeness PR.
HKR breakdown
hook ✓knowledge —resonance ✓
→ open source
70
SCORE
H1·K0·R1
03:10
69d ago
r/LocalLLaMA· rssEN03:10 · 05·20
→LM Studio finally added support for MTP Speculative Decoding
LM Studio added MTP Speculative Decoding support in 0.4.14 Build 2 Beta, requiring llama.cpp engine 2.15.0; the post does not disclose throughput gains, supported model lists, or reproducible benchmark conditions.
#Inference-opt#Tools#LM Studio#llama.cpp
editor take
LM Studio 0.4.14 Beta adds MTP, but Reddit is 403; no throughput or model list, so no speedup claim yet.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
66
SCORE
H1·K1·R1
03:07
69d ago
FEATUREDNew York Times Chinese· rssZH03:07 · 05·20
→China Wants to Expand AI, but Not at the Cost of Jobs
Chinese courts have publicly backed workers in AI-replacement dismissal cases for a third time; in the Hangzhou case, an employee’s monthly salary was cut from 25,000 yuan to 15,000 yuan before dismissal, and the court found the employer failed to provide a reasonable placement and had illegally terminated the worker.
#Robotics#The New York Times#Meituan#Nvidia
why featured
Featured · importance 80 · hook + knowledge + resonance
editor take
Chinese courts are turning AI layoffs into a legal liability; replacing workers with software now comes with severance, redeployment, and court risk.
sharp
Chinese courts are turning “AI efficiency” into a labor-cost transfer that employers cannot dump for free. In the Hangzhou case, a quality-control worker’s monthly pay was cut from 25,000 yuan to 15,000 yuan, then he was fired after rejecting the transfer. The court found the company failed to offer reasonable placement. This is the third public win for workers replaced by AI. For AI vendors and automation buyers, that is a hard constraint on ROI math. China already has more than 2 million industrial robots in factories, and Meituan’s Shanghai delivery robots handle over 1,000 orders per day, per Nvidia material. But the legal line now treats AI replacement as voluntary cost-cutting, not a clean layoff excuse. Any enterprise pitch that sells headcount reduction without redeployment, training, arbitration, and precedent risk is underpricing the deployment.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
80
SCORE
H1·K1·R1
02:49
69d ago
r/LocalLLaMA· rssEN02:49 · 05·20
→Decent deal on RTX 3080 20GB on eBay: $30 per GB
A Reddit user says they bought RTX 3080 20GB cards on eBay for $600 each. The listed VRAM cost is about $30 per GB, with 2×8-pin PCIe power required and shipping from China taking a few weeks.
#Inference-opt#Reddit#eBay#NVIDIA
editor take
RTX 3080 20GB is listed at $600; the body is 403, so treat it as a used-VRAM price signal.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
62
SCORE
H1·K1·R1
02:44
69d ago
Bloomberg Technology· rssEN02:44 · 05·20
→Samsung Faces Risk of Chip Disruption After Labor Talks Fail
Samsung Electronics failed to reach an agreement with its largest labor union, raising the risk of a worker strike at the world’s largest memory chipmaker; the RSS snippet does not disclose the number of workers involved, affected production lines, or any strike timetable.
#Samsung Electronics#Incident
editor take
Samsung’s largest union talks collapsed, with no worker count or line scope disclosed; ugly timing for tight HBM supply.
HKR breakdown
hook ✓knowledge —resonance ✓
→ open source
46
SCORE
H1·K0·R1
02:39
69d ago
FEATUREDAI HOT (Curated Pool)· aihot-apiZH02:39 · 05·20
→Microsoft reportedly warns internally that GitHub faces existential risk as AI coding tools reduce hosting need
Microsoft internally warned that GitHub faces an existential risk from AI coding assistants such as Cursor and Claude Code, and told some teams to stop using Claude Code by the end of June 2026 and move to GitHub Copilot CLI.
#Code#Agent#Tools#Microsoft
why featured
Featured · importance 82 · hook + knowledge + resonance
editor take
Microsoft forcing teams off Claude Code is not tooling hygiene; it is GitHub admitting terminal agents are stealing the developer entry point.
sharp
GitHub’s problem is not that repositories vanish; developers are moving daily work into Cursor and Claude Code. The concrete tell is Microsoft asking some Windows, Microsoft 365, Outlook, Teams, and Surface teams to stop using Claude Code by late June 2026 and move to GitHub Copilot CLI, with security workflow and FY2027 cost control as the official rationale. I don’t buy the “toolchain consistency” story cleanly. Copilot in 2021 lived inside editor autocomplete. Cursor in 2024 made the IDE a task surface. Claude Code in 2025 pushed multi-step engineering into the terminal. The repo can stay on GitHub while the decision layer moves elsewhere. The wild part: Copilot CLI still keeps access to Claude models. Microsoft is not blocking Anthropic’s intelligence; it is blocking Anthropic’s product doorway.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
82
SCORE
H1·K1·R1
02:00
69d ago
● P1AI HOT (Curated Pool)· aihot-apiZH02:00 · 05·20
→Qwen3.7: Agent Frontier
Qwen Studio released Qwen3.7 with chatbots, image and video understanding, and image generation. It also covers document processing, web search integration, tool calling, and artifact generation. The RSS snippet frames it as an agent-focused model, but the post does not disclose context length. It also omits benchmark scores, pricing, API limits, release schedule, and reproducible evaluation conditions.
#Agent#Multimodal#Tools#Qwen Studio
why featured
Featured · importance 86 · hook + knowledge + resonance
editor take
Qwen3.7-Max’s agent pitch has one hard hook: a 35-hour autonomous kernel run with 1,000+ tool calls, not another chat benchmark victory.
sharp
Qwen3.7-Max is betting on long-horizon execution, not single-turn cleverness. The strongest claim is concrete: a 35-hour autonomous kernel optimization run with 1,000+ tool calls, plus 69.7 on Terminal Bench 2.0, 60.6 on SWE-Pro, and 90.4 on MRCR-v2 128k. That is the right evidence shape for an agent model in 2026. I still have doubts. QwenWebDev, QwenSVG, and Qwenclaw are internal benchmarks, the API is only “coming soon,” and pricing, rate limits, and product context policy are not nailed down. Putting Opus-4.6 Max in the comparison table is a strong move, but agent adoption is not won on tables. Tool-failure recovery and production latency decide whether developers switch stacks.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
86
SCORE
H1·K1·R1
00:41
69d ago
FEATUREDr/LocalLLaMA· rssEN00:41 · 05·20
→Running DeepSeek-V4 locally on 4 legacy RTX 2080 Ti GPUs with W8A8 at 255 prefill tok/s
A Reddit user ran DeepSeek-V4-Flash locally on 4 RTX 2080 Ti GPUs, reporting 284B total parameters, 13B active parameters, a sub-$2,500 build, custom Turing CUDA kernels, W8A8 quantization, 1TB DDR4 ECC RAM, and about 255 prefill tokens/s.
#Inference-opt#DeepSeek#NVIDIA#Known_Ice9380
why featured
Featured · importance 76 · hook + knowledge + resonance
editor take
Only title and summary are visible; 4×2080 Ti hitting 255 prefill tok/s on a 284B MoE smells like hobbyist inference dodging the new-GPU tax.
sharp
A 4×RTX 2080 Ti box running DeepSeek-V4-Flash at 255 prefill tok/s hits the inference cost curve, not just the hobbyist-flex lane. The title claims 284B total parameters, 13B active parameters, W8A8 quantization, custom Turing CUDA kernels, 1TB DDR4 ECC RAM, and a sub-$2,500 build. Reddit 403 blocks the body, so code, batch size, context length, and decode tok/s are not verifiable here. I’d treat this as suspicious in number, correct in direction. The 2080 Ti is old Turing hardware, without the clean modern INT8 path people expect on newer NVIDIA cards. If the result holds, the trick is likely MoE sparsity, CPU memory spill, and a generous prefill metric. The pattern matches what vLLM and llama.cpp have done all year: open inference does not need to beat H100 clusters to matter; it only needs to make “good enough” local serving cheap on discarded hardware.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
76
SCORE
H1·K1·R1
00:01
69d ago
FEATUREDHacker News Frontpage· rssEN00:01 · 05·20
→GitHub investigating unauthorized access to internal repositories
GitHub is investigating unauthorized access to its internal repositories; the HN item shows 62 points and 15 comments, and the post does not disclose the access scope, attack path, or affected repositories.
#GitHub#Hacker News#Incident
why featured
Featured · importance 76 · hook + resonance
editor take
Only headlines so far, no official GitHub post. Both HN sources point to the same event, but zero details—no word on whether this is internal tooling, product code, or customer data. Treat this as ...
sharp
Right now this is just two HN posts—one says GitHub is investigating unauthorized access to internal repos, the other flat-out says “GitHub Compromised.” The second one sounds scarier, but there's no body text behind either, and it's likely the same tip phrased two ways. I'd discount the stronger wording for now. No official statement, no scope, no timeline, and we don't even know what “internal repositories” means—could be employee tooling, could be the codebase for GitHub.com itself. If it's the latter, that's a big deal, but we can't tell yet. Both sources agree, but they're almost certainly drawing from the same unnamed tip, not independent confirmation. Until GitHub posts something, don't read “compromised” as settled fact.
HKR breakdown
hook ✓knowledge —resonance ✓
→ open source
76
SCORE
H1·K0·R1
00:00
69d ago
● P1OpenAI Blog· rssEN00:00 · 05·20
→OpenAI model disproves 80-year-old unit distance conjecture in discrete geometry
An OpenAI model solved the 80-year-old unit distance problem and disproved a major conjecture in discrete geometry; the post does not disclose the model name, proof mechanism, or reproducibility conditions.
#Reasoning#OpenAI#Research release
why featured
Featured · importance 100 · hook + knowledge + resonance
editor take
OpenAI's own blog says a model disproved an 80-year-old discrete geometry conjecture, with external mathematicians verifying the proof. I'd accept it as fact for now, but don't read it as 'autonomo...
sharp
This came from OpenAI's own blog, not a third-party leak, so the factual basis is solid. An internal general-purpose reasoning model, not fine-tuned for math, found a counterexample construction for the planar unit distance problem, disproving a conjecture Erdős posed in 1946. External mathematicians including Tim Gowers and Noga Alon vouched for it, saying the proof is publishable in a top journal. The headlines across sources are nearly identical because they all pull from the same blog post — no independent verification differences here. TechCrunch's 'for real this time' nod is useful: OpenAI has overclaimed on math before. Latent Space mentions a sub-$1000 cost, but I couldn't find that number in the blog itself, so that might be from elsewhere. Where I'd discount: the model name isn't disclosed, just 'an internal model'; the chain-of-thought is abridged, so we can't see the full reasoning; and this is a counterexample construction, not a theorem proof in the traditional sense. Don't read this as AI doing autonomous math research — it looks more like an extremely strong pattern matcher hitting a problem well-suited to constructive search.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
100
SCORE
H1·K1·R1
00:00
69d ago
FEATUREDAI HOT (Curated Pool)· aihot-apiZH00:00 · 05·20
→Unsustainable Subsidies
Google, OpenAI, and Anthropic diverged on model pricing: Gemini 3.1 Pro is priced at $2 input and $12 output, GPT-5.5 at $5 and $30 after a short subsidy, and Claude Opus 4.7 stayed at $5 and $25.
#Inference-opt#Google#OpenAI#Anthropic
why featured
Featured · importance 74 · hook + knowledge + resonance
editor take
GPT-5.5 at $5/$30 says the subsidy era is closing; app teams still modeling 2025 token costs are lying to themselves.
sharp
Model pricing is finally showing the compute bill, and app margins take the first hit. Gemini 3.1 Pro is $2/$12 per 1M tokens, Claude Opus 4.7 is $5/$25, and GPT-5.5 is $5/$30 after a short subsidy. Google is still using cloud and TPU economics as the low-price anchor; OpenAI has moved its flagship back into premium pricing. Tunguz frames this as cash getting tight, and I buy the direction, but it is too neat. Inference volume, long context, and agent loops turn output tokens into the cost sink. Teams that built 2025 gross-margin decks on falling token prices now have a bad spreadsheet, not a strategy.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
74
SCORE
H1·K1·R1
00:00
69d ago
OpenAI Blog· rssEN00:00 · 05·20
→The Next Phase of OpenAI’s Education for Countries
OpenAI advances Education for Countries with new partnerships, teacher training, and school tools; the RSS snippet does not disclose country lists, pricing, deployment timelines, or adoption metrics.
#Tools#OpenAI#Product update#Partnership
editor take
OpenAI disclosed school partners, teacher training, and tools, but no countries, pricing, timeline, or adoption metrics; smells like channel seeding.
HKR breakdown
hook —knowledge ✓resonance —
→ open source
55
SCORE
H0·K1·R0
00:00
69d ago
AI HOT (Curated Pool)· aihot-apiZH00:00 · 05·20
→How Ramp Engineers Use Codex to Speed Up Code Review
Ramp’s engineering team integrated Codex with GPT-5.5 to give substantive feedback on code changes within minutes, while the post says the prior review cycle took hours and does not disclose implementation details beyond the RSS snippet.
#Code#Tools#Ramp#OpenAI
editor take
Ramp cut code review to minutes with Codex and GPT-5.5; RSS only, no false-positive rate or integration details.
HKR breakdown
hook ✓knowledge ✓resonance ✓
→ open source
39
SCORE
H1·K1·R1

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