GEM-4C 558 -4%
GPT-61S 555 -3.8%
CL-SN55 553 -3.8%
CL-OP55 551 -4%
GPT-61TERR 547 -3.5%
GEM-4CM 546 -4%
CL-OP55EH 542 -3.9%
GPT-61SOLXH 541 -3.6%
GPT-61SOLH 527 -3.7%
CL-SN55XH 523 -3.5%
GEM-4CL 520 -3.9%
GPT-61TERRXH 507 -3.4%
CL-OP55H 506 -4%
GPT-61SOLM 500 -3.5%
KIMI-K31P 499 -3.5%
GEM-4AR 498 -3.9%
GPT-61TERRH 490 -3.2%
CL-OP55M 483 -3.6%
MUSE-WONDFUL 479 -3.8%
CL-SN55H 467 -3.3%
CL-HK55 463 -2.9%
GPT-61TERRM 462 -3.1%
GPT-6A 451 -4.7%
MUSE-WOND 451 -3.6%
CL-HK55XH 450 -3%
GPT-6ASTRXH 440 -4.8%
GROK-47 440 -3.1%
GROK-47H 438 -2.9%
GPT-6ASTRH 437 -4.8%
DSK-V-340615 436 -2.9%
QWEN-38X 428 -2.9%
GPT-61SOLL 423 -3.2%
GLM-53 420 -3%
MIMO-V26P 420 -2.6%
CL-HK55H 419 -2.8%
LING-31F1019 417 -2.6%
GEM-38F 416 -2.8%
GPT-6ASTRM 415 -4.6%
MMAX-M31F 414 -2.8%
GEM-38FM 412 -2.8%
GPT-61TERRNO 411 -2.8%
GROK-47L 410 -2.8%
DSK-V-3E48BD 410 -2.6%
GPT-6L 407 -2.6%
GLM-53F 407 -2.6%
STEP-5 405 -2.6%
CL-FABL51XH 403 -4.7%
GPT-61TERRL 403 -2.9%
MIMO-V26F 401 -2.4%
CL-FABL51 399 -4.5%
CL-SN55M 395 -2.9%
CL-OP55L 393 -3.4%
MIST-LARG4 390 -2.7%
CL-FABL51H 386 -4.5%
CL-HK55M 386 -2.3%
GPT-6LUNAXH 377 -2.6%
MUSE-SPAROPE 375 -2.6%
MIST-LARG4M 371 -2.4%
DSK-V4P 365 -2.4%
GPT-6LUNAH 365 -2.1%
GLM-53L 364 -2.4%
CL-SN55L 362 -2.7%
GEM-38FL 361 -2.4%
GPT-6ASTRL 359 -4.5%
CL-FABL51M 359 -4.5%
QWEN-827B 349 -2.2%
CL-HK55L 347 -2%
MMAX-M3 345 -2%
GPT-6LUNAM 344 -2.3%
DSK-V-02811D 344 -2%
K2-HORI375BA 342 -2%
REFL-BEAM 338 -2%
QWEN-827BM 332 -1.8%
CL-FABL51L 329 -4.4%
QWEN-827BL 320 -1.8%
NEMO-35SUPEV 313 -1.9%
INKL 295 -1.7%
NVID-NEMO3UL 295 -1.3%
GEM-35FLITE 295 -1.3%
GPT-6LUNAL 287 -1.4%
GPT-6LUNANON 286 -1%
NANB-333B 285 -2.7%
QWEN-827BNON 282 -1.4%
COMM-APLUS 266 -1.1%
MUSE-GLIM 263 -1.1%
NEMO-35LIGH 261 -0.8%
GRAN-428B 258 -0.8%
MIST-SMAL4 252 -0.4%
INKL-SM 235 -2.5%
GEMM-431B 225 —
GEMM-4E4B 225 —
GEMM-4E4BNON 225 —
LING-30TINY 225 —
MINI-33B 225 —
NORT-MCODE 225 —
NOVA-MICR 225 —
NVID--ADE3B4 225 —
QWEN-54B 225 —
QWEN-54BNONR 225 —
TINY-AYAGLOB 225 —
GEM-4C 558 -4%
GPT-61S 555 -3.8%
CL-SN55 553 -3.8%
CL-OP55 551 -4%
GPT-61TERR 547 -3.5%
GEM-4CM 546 -4%
CL-OP55EH 542 -3.9%
GPT-61SOLXH 541 -3.6%
GPT-61SOLH 527 -3.7%
CL-SN55XH 523 -3.5%
GEM-4CL 520 -3.9%
GPT-61TERRXH 507 -3.4%
CL-OP55H 506 -4%
GPT-61SOLM 500 -3.5%
KIMI-K31P 499 -3.5%
GEM-4AR 498 -3.9%
GPT-61TERRH 490 -3.2%
CL-OP55M 483 -3.6%
MUSE-WONDFUL 479 -3.8%
CL-SN55H 467 -3.3%
CL-HK55 463 -2.9%
GPT-61TERRM 462 -3.1%
GPT-6A 451 -4.7%
MUSE-WOND 451 -3.6%
CL-HK55XH 450 -3%
GPT-6ASTRXH 440 -4.8%
GROK-47 440 -3.1%
GROK-47H 438 -2.9%
GPT-6ASTRH 437 -4.8%
DSK-V-340615 436 -2.9%
QWEN-38X 428 -2.9%
GPT-61SOLL 423 -3.2%
GLM-53 420 -3%
MIMO-V26P 420 -2.6%
CL-HK55H 419 -2.8%
LING-31F1019 417 -2.6%
GEM-38F 416 -2.8%
GPT-6ASTRM 415 -4.6%
MMAX-M31F 414 -2.8%
GEM-38FM 412 -2.8%
GPT-61TERRNO 411 -2.8%
GROK-47L 410 -2.8%
DSK-V-3E48BD 410 -2.6%
GPT-6L 407 -2.6%
GLM-53F 407 -2.6%
STEP-5 405 -2.6%
CL-FABL51XH 403 -4.7%
GPT-61TERRL 403 -2.9%
MIMO-V26F 401 -2.4%
CL-FABL51 399 -4.5%
CL-SN55M 395 -2.9%
CL-OP55L 393 -3.4%
MIST-LARG4 390 -2.7%
CL-FABL51H 386 -4.5%
CL-HK55M 386 -2.3%
GPT-6LUNAXH 377 -2.6%
MUSE-SPAROPE 375 -2.6%
MIST-LARG4M 371 -2.4%
DSK-V4P 365 -2.4%
GPT-6LUNAH 365 -2.1%
GLM-53L 364 -2.4%
CL-SN55L 362 -2.7%
GEM-38FL 361 -2.4%
GPT-6ASTRL 359 -4.5%
CL-FABL51M 359 -4.5%
QWEN-827B 349 -2.2%
CL-HK55L 347 -2%
MMAX-M3 345 -2%
GPT-6LUNAM 344 -2.3%
DSK-V-02811D 344 -2%
K2-HORI375BA 342 -2%
REFL-BEAM 338 -2%
QWEN-827BM 332 -1.8%
CL-FABL51L 329 -4.4%
QWEN-827BL 320 -1.8%
NEMO-35SUPEV 313 -1.9%
INKL 295 -1.7%
NVID-NEMO3UL 295 -1.3%
GEM-35FLITE 295 -1.3%
GPT-6LUNAL 287 -1.4%
GPT-6LUNANON 286 -1%
NANB-333B 285 -2.7%
QWEN-827BNON 282 -1.4%
COMM-APLUS 266 -1.1%
MUSE-GLIM 263 -1.1%
NEMO-35LIGH 261 -0.8%
GRAN-428B 258 -0.8%
MIST-SMAL4 252 -0.4%
INKL-SM 235 -2.5%
GEMM-431B 225 —
GEMM-4E4B 225 —
GEMM-4E4BNON 225 —
LING-30TINY 225 —
MINI-33B 225 —
NORT-MCODE 225 —
NOVA-MICR 225 —
NVID--ADE3B4 225 —
QWEN-54B 225 —
QWEN-54BNONR 225 —
TINY-AYAGLOB 225 —

Delayed ticker data. Last calculated 5 Nov 2026, 11:04 pm Sydney time.

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5mo ago research

10% Bad Context Causes 97% of Damage — ICML 2026 Paper Upends RAG Filtering Logic

A Spotlight Paper at ICML 2026 finds that long-context poisoning is sharply nonlinear: just 10% hard distractors produce nearly all the accuracy damage. The mechanism is softmax attention amplifying near-but-wrong passages disproportionately. Implication: filtering bad documents is less effective than shortening the context window.

5mo ago policy

Altman Says He's 'Delighted to Be Wrong' — AI White-Collar Job Collapse Hasn't Arrived

OpenAI CEO Sam Altman, speaking in Sydney on May 26, walked back his earlier warnings that AI would decimate entry-level office work. His revised view: work is bending before it breaks, because companies still need humans for judgment, trust, and messy communication where the right answer depends on context.

5mo ago research

CMU Paper: Give LLMs a "Sleep" Phase and Long-Context Accuracy Jumps 52% — With No Inference Latency Cost

Researchers from CMU and UMD propose offline recursive memory consolidation for SSM-attention hybrid models. When context fills up, the model "sleeps" to encode evicted tokens into fast weights before cache eviction. On long-context math reasoning, 4 loops beats 1-loop baseline by 52%.

5mo ago model

Xiaomi Cuts MiMo-V2.5 API Prices by Up to 86% Effective Today — Pro Drops to $0.87/M Output

Xiaomi's MiMo-V2.5 and V2.5-Pro APIs repriced from midnight CST today. Output costs fall 71-86%, putting frontier-tier agentic performance at well under $1 per million output tokens.

5mo ago benchmark

Microsoft MAI-Image-2.5 Enters Arena Text-to-Image at #3 With Elo 1,254

MAI-Image-2.5 (Preview) debuts at 1,254 Elo on the Arena text-to-image leaderboard, 72 points above its predecessor. Microsoft becomes the third lab in the top 5 alongside OpenAI and Google DeepMind, with Foundry access and Build 2026 announcements still to come.

5mo ago research

Eagle 3.1 Fixes Speculative Decoding's Long-Context Collapse — 2x Acceptance Length, 2.03x Throughput

The EAGLE, vLLM, and TorchSpec teams jointly diagnose 'attention drift' as the root cause of speculative decoding instability. Two architectural fixes double acceptance length in long-context workloads and deliver 2.03x per-user throughput on Kimi K2.6 running on GB200.

5mo ago release

Alibaba's Zhenwu M890 Claims 3x the Nvidia H20 — and a Silicon Roadmap Through 2028

T-Head ships the M890 with 144GB HBM3 and 800GB/s interchip bandwidth, packaged into a rack-scale server running 128 units. With 560,000 chips already deployed and a $53B infrastructure commitment, Alibaba is building the most commercially validated domestic AI silicon stack in China.

5mo ago benchmark

Qwen3.7-Max Hit Intelligence Index #5 Globally by Answering Fewer Questions — Abstention Is Now a Frontier Strategy

Alibaba's Qwen3.7-Max scores 56.6 on Artificial Analysis Intelligence Index, the highest ever for a Chinese model. A key driver: its attempt rate on AA-Omniscience dropped to 48.0%, the lowest at the frontier, while raw accuracy on that benchmark actually fell 7.6 points. The benchmark has no penalty for refusing to answer.

5mo ago benchmark

NVIDIA AI-Q Ranks #1 on Both DeepResearch Benchmarks — Open Architecture, Self-Hosted, Model-Swappable

NVIDIA's AI-Q reference architecture tops DeepResearch Bench I and II, the two main evaluations for deep research agents — the same leaderboards where OpenAI's closed Deep Research system competes. Everything is open-source, YAML-configurable, and deployable inside a private VPC.

5mo ago model

Claude Code Has Won the Startup Coding Market. Cursor Is Fading.

A Business Insider survey of more than two dozen startup founders and VCs finds Anthropic's Claude Code is now the default AI coding tool at most startups. Cursor still has users but is consistently described as a secondary, declining tool. 'Everything that's not Claude Code.'

5mo ago research

Huawei Claims 1.4nm Chip Density by 2031 Using a New Scaling Law — 3 Years Behind TSMC, Down From 5

At IEEE ISCAS 2026 in Shanghai, Huawei's semiconductor chief publicly committed to 1.4nm-equivalent chips by 2031 via the Tau Scaling Law, a new principle that optimises signal travel time rather than transistor size. TSMC plans the same node for 2028.

5mo ago research

Microsoft Copilot Cowork Has a File Exfiltration Flaw — and Fixing It Requires Redesigning the Product

PromptArmor documents a prompt injection attack on Microsoft Copilot Cowork that silently exfiltrates M365 files via Teams and Outlook — no user approval required. A second, direct data egress vulnerability was separately disclosed to Microsoft under embargo.

5mo ago policy

Uber's COO Says It Is Getting Harder to Justify AI Tokenmaxxing Spend

Uber COO Andrew Macdonald said in a Business Insider interview that it is 'becoming harder to justify' the company's AI token consumption costs, after conversations with senior engineering leaders showed no clear return. The statement comes weeks after Uber burned through its entire 2026 AI budget by April.

5mo ago research

Huawei's LogicFolding Takes Aim at TSMC as Nvidia Concedes China's AI Chip Market

Huawei published a chip design paper introducing LogicFolding and tau scaling, a vertical stacking approach that cuts signal delay rather than shrinking transistors. At Computex the same week, Jensen Huang confirmed Nvidia has 'largely conceded' China's AI chip market to Huawei.

5mo ago research

Claude Code Designed a Better AI Scaling Algorithm Than Human Researchers — $40, 160 Minutes, 70% Fewer Tokens

A UMD/Google/Meta team let Claude Code hunt for test-time scaling algorithms inside an offline replay environment. The agent invented the Confidence Momentum Controller, cutting token usage 70% versus self-consistency while matching or beating accuracy across AIME and HMMT benchmarks.