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AArena12:52

AI score27

Amazon's Chief Scientist on AI Deployment and Unit Economics

In the Arena Conversations program, Amazon Senior Principal Scientist Ido Rosen and Peter Gostev discussed the practical elements of AI: why unit economics should come first, what a decade of quantitative trading experience teaches about evaluation work, and what happens to frontier lab pricing when open-weight models lag by only a few months. He also discussed deploying AI into production environments under budget constraints and what it takes to achieve scale.

#English text is being prepared.#Reasoning#English text is being prepared.

PPixVerse12:52

AI score30

PixVerse showcases Kling 4.0 generation results

PixVerse released a joint generation example with Kling 4.0, noting that AI video still has shortcomings in the sense of physical impact and motion consistency, while this generation presents a heavier sense of impact and more stable details in the action, coming closer to the texture of live-action footage.

#English text is being prepared.#Video#Multimodal

AAnt Ling12:52

AI score35

Ant Ling Ling-3.1-flash-1019 Now Live on Novita

Ant Ling announced that Ling-3.1-flash-1019 is now available to more developers through Novita AI, saying it has stronger reasoning capabilities and real-world agent performance. The cited Novita post said the model scores 44 on the Artificial Analysis Intelligence Index v4.3.2, up from 41 for Ling-3.1-flash.

Quoted postNovita AI · @novita_labs

Ling-3.1-flash-1019 from @AntLingAGI is now live on Novita! It scores 44 on the Artificial Analysis Intelligence Index v4.3.2, up from 41 for Ling-3.1-flash. Further post-training brings stronger reasoning and real-world agent performance. We’re excited to see our partners put it to work on Novita: @opencode @NousResearch @kilocode @vercel @CommandCodeAI @concentrateai Thanks for bringing your ideas and real-world use cases. We can’t wait to see what you build!

#Product updates#Reasoning#Agents

Oopencode12:52

AI score37

OpenCode Go Now Available to Teams

OpenCode has announced that OpenCode Go is now available for use by entire teams.

#Product updates#Agents

AArtificial Analysis12:52Analysis

AI score60

Fish Audio Drama 3 ranks first among open-weight models in two speech arenas, and first in pronunciation robustness

Artificial Analysis evaluations show that Drama 3, released by Fish Audio, has an Elo of 1,278 in the Provider Voice scenario of Text to Speech (1,512 arena appearances), ranking 6th overall and 1st among open-weight models; in the Controlled Voice scenario, its Elo is 1,085 (1,958 appearances), ranking 12th overall and 1st among open-weight models. On pronunciation robustness, Drama 3 ranks 1st with 94.6% (2,157 rated clips), higher than the 93.2% of Ming-3.0-tts and Drama 3 Preview. Its generation speed is 66.6 characters per second, its pricing is $15/1M characters, and its weights are open under the Fish Audio Community License.

#Evaluations / benchmarks#Speech#Open-source ecosystem

AArtificial Analysis12:52Analysis

AI score62

Phonic 1 Tops the Artificial Analysis Speech-to-Speech Index, Leading Grok with 87.1 Points…

Artificial Analysis evaluations show that Phonic's Phonic 1 (High) ranks first among 22 models on the Speech to Speech Index with 87.1 points, leading Grok Voice 3.0's 86.9 points by a narrow margin. The model ranks first on the Tau Voice agent task with 79.9%, leading the second place by 5.4 percentage points; it ranks third on Big Bench Audio with 98.9%, and its Time to First Audio is 0.61 seconds. Phonic 1 is available through the Phonic API, with input audio costing $0.07 per minute and $4.20 per hour.

Same story · 2 reports

#Evaluations / benchmarks#Speech#Agents

AArtificial Analysis12:52Product release

AI score53

Artificial Analysis releases the Progress Index…

Artificial Analysis releases the Progress Index and simultaneously launches Intelligence Index v5. The Progress Index uses item response theory to estimate a general capability score for each model from all evaluations (including tasks that have been retired or not included in the Intelligence Index), for cross-time comparison; the Intelligence Index is still used to measure the intelligence level of current models. Its data shows that after the emergence of reasoning models, the frontier has improved by about 65 to 70 points per year, roughly twice the 2023 rate; open-weight models typically lag closed-source models by about 4 months, and DeepSeek V4.1 Flash 1017 ranks highest among open-weight models with 324 points.

Same story · 8 reports

#Evaluations / benchmarks#English text is being prepared.#OpenAI

AArtificial Analysis12:52Product release

AI score51

Artificial Analysis releases Intelligence Index v5 and Progress…

Artificial Analysis released Intelligence Index v5 and the new Progress Index in San Francisco. Intelligence Index v5 adds two benchmarks and three upgrades, increases the weighting of agentic coding and science, and for the first time makes most of the index based on private test sets or held-out answers. The Progress Index uses item response theory to estimate a general capability score for each model across dozens of evaluations measured over time, including evaluations that have been retired or excluded from the Intelligence Index. It builds on prior work by Epoch AI Research and Anthropic, placing models on a single capability scale. According to the official statement, the Intelligence Index remains the flagship metric for choosing which model to use right now, while the Progress Index is better suited to depicting long-term trends.

Same story · 8 reports

#Evaluations / benchmarks#Agents

AArtificial Analysis12:52

AI score47

Artificial Analysis Releases the HLE-Diamond Leaderboard

Artificial Analysis has launched the HLE-Diamond leaderboard within Intelligence Index v5, independently evaluating the 1,000-question version of Humanity's Last Exam refined by CAIS and Scale AI. Only 17 model variants (about 13%) scored above 50%, with Gemini 4 Carbon (high) leading at 69% and Claude Opus 5.5 (max) close behind at 68%. The highest open-weight model is Kimi K3.1 Pro at 37%, trailing by more than 30 points.

Same story · 8 reports

#Evaluations / benchmarks#Reasoning#Multimodal

AArtificial Analysis12:52

AI score37

Utopai X Tops AA-Video-I2V v2.1 at Second Place

Utopai X, post-trained by Utopai Studios based on MiniMax H3, ranks second on the AA-Video-I2V v2.1 leaderboard, behind only Dreamina Seedance 2.5, and is the only model to simultaneously enter the top two of both AA-Video-T2V v2.1 and AA-Video-I2V v2.1. The model performs best on Physics and Multi-Scene & Narrative prompt categories as well as in the Frontier, UI/UX & Motion Design, and Productivity & Knowledge Work scenarios. Utopai X is available only on the PAI platform, at 93 PAI credits per second for 1080p video, with no public API; PAI subscriptions start at 1,000 credits for $15/month.

#Evaluations / benchmarks#Video#Image generation

OOpenBMB12:52Product release

AI score60

OpenBMB Open-Sources ForgeKernel: DeepSeek V4.1 Prefill Kernel 9.8% Faster

OpenBMB announced the open-sourcing of ForgeKernel; its agent completed 42 iterations in about 22 hours and produced 32 kernel versions, ultimately achieving 1.098x performance on the DeepSeek V4.1 FlashMLA Prefill on an NVIDIA B200, at 472 µs versus the 518 µs baseline. The official FlashMLA implementation remained closed throughout; the agent could only run and time its black-box CLI and could not read source code, documentation, or profiling data. The open-sourced content includes the optimized DeepSeek V4.1 fused prefill kernel, the kernels from the paper covering attention, Gated DeltaNet, Kimi Delta Attention, GEMM, and convolution, as well as the ForgeKernel harness that can be used to optimize one's own kernels; across 27 operators, ForgeKernel matched or outperformed 18 of 22 expert-library kernels and outperformed all 7 kernels published by three kernel-generation systems.

Quoted postOpenBMB · @OpenBMB

ForgeKernel Live: Optimising a kernel of DeepSeek https://t.co/vYaS4apfT3

#English text is being prepared.#Agents#English text is being prepared.

AAlibaba Cloud Developer Community AI12:51

AI score13

Alibaba Cloud Double 11 Money-Saving Guide: How to Use Free Trials, Coupons, and Same-Price Renewals

The Alibaba Cloud Double 11 money-saving path can be summarized in five steps: first use free trials to validate, then use coupons to lower the transaction price, use special-offer instance types to lock in long-term costs, use AI-specific campaigns to offset ongoing expenses, and finally complete procurement with bundled packages. Free trials cover 15 major categories and more than 176 products, with new cloud server customers eligible for trials of up to 12 months; in the AI direction, more than 30 products and 100 million+ tokens of experience are offered, and the Bailian newcomer quota is limited to the North China 2 (Beijing) region.

#Industry news#English text is being prepared.

AAlibaba Cloud Developer Community AI12:51Analysis

AI score60

How Hermes Writes Agent Learning into Files: A Three-Layer Design of Memory, Skills, and Knowledge Base

The Hermes Agent open-sourced by Nous Research externalizes learning into files, using MEMORY.md and USER.md to store memory, SKILL.md to store reusable skills, and a wiki to store domain knowledge, while the underlying model weights remain unchanged. The article breaks down its closed-loop learning mechanism, including post-task background review that automatically creates and improves skills. The built-in llm-wiki skill 2.1.0 maintains the knowledge base with a three-layer structure of raw/, wiki, and SCHEMA.md, along with disciplines such as page-creation thresholds, bidirectional links, source-text hashing, and contradiction registration, and comes with an inspection mechanism.

#Tutorials / practice#Agents#Open-source ecosystem

AAlibaba Cloud Developer Community AI12:51

AI score36

Multimodal Retrieval Engine Selection: Applicability Conditions and Solution Design for EMR Serverless StarRocks

EMR Serverless StarRocks unifies full-text search, scalar filtering, and vector similarity search into a single execution engine, completing hybrid recall, RRF fusion reranking, and lake table column-level update write-back with a single SQL statement. It is suitable for multimodal data scenarios organized with open lake formats such as Paimon/Iceberg/Lance and that rely heavily on SQL interaction; if a RESTful vector service interface or millisecond-level high-throughput point queries are required, an additional gateway wrapper is needed or a dedicated vector database should be considered.

#Tutorials / practice#RAG#English text is being prepared.

AAlibaba Cloud Developer Community AI12:51

AI score38

Jingneng Cloud Solar-Storage IoT Data Pipeline Architecture: From Modbus Protocol Normalization to AI Scheduling

In solar-storage projects, Jingneng Cloud uses edge gateways to unify protocols such as Modbus TCP/RTU and DL/T645 into a JSON Schema reported via MQTT; in the cloud, EMQX, Kafka, and Flink clean the data before writing it to TimescaleDB, keeping the P99 latency of 30-day data queries within 200ms. Electricity price forecasting uses LightGBM, charging and discharging strategies use a rule engine plus an optimization solver, and the ONNX inference service, with a single replica of 2 cores and 4G, supports 2,000 power stations and QPS 200+. The team recommends putting the forecasting model into production only after the data pipeline has run stably for 3 months.

#Tutorials / practice#English text is being prepared.#English text is being prepared.

AAlibaba Cloud Developer Community AI12:51

AI score12

Alibaba Cloud 2026 Double 11 Enterprise Procurement Guide: ECS, GPU Cloud Servers, and Bailian Large Model Package Discounts

The Alibaba Cloud 2026 Double 11 Enterprise Special Event offers limited-time discounts, vouchers, and spend-based rebates on Simple Application Server, ECS, GPU cloud servers, and the Bailian large model service platform for enterprise-certified accounts; individual real-name accounts cannot participate. The Bailian Token Plan packages and Night Plan nighttime subscription plans enjoy enterprise-exclusive procurement discounts and are suitable for batch calls to the Qwen series models. Discounts are subject to inventory and regional restrictions, and must be settled together in the shopping cart to stack discounts and vouchers.

#English text is being prepared.

IIEEE Spectrum12:51

AI score20

Why Systems Thinking Is Needed in the AI Era: The Engineer's Role Is Shifting

An IEEE Spectrum article points out that AI can help engineers complete early-stage steps such as literature research, design generation, and simulation testing, and the engineer's role is therefore shifting from executing every technical step to coordinating the division of labor among people, machines, and expert knowledge. The article emphasizes that AI will give seemingly credible answers when assumptions are weak, making human judgment and systems thinking all the more important, and recommends that IEEE build communities around cross-domain issues such as clinical AI and resilient infrastructure and develop standards for human-machine collaboration.

#English text is being prepared.

HHacker News Trending12:51

AI score68

DoorDash Announces Acquisition of Instacart for Approximately $17 Billion

DoorDash and Instacart announced that they have entered into a definitive agreement under which DoorDash will acquire Instacart for $65.00 per share, representing approximately $17 billion in equity value, a 26% premium to Instacart's closing price on October 22, 2026. At least 75% of the transaction consideration will be in cash, and Instacart shareholders may elect to receive cash, DoorDash stock, or a combination of both, with DoorDash stock not exceeding 25% of the total consideration; Instacart's board of directors has unanimously approved the transaction. The transaction is expected to close in late 2027 or the first half of 2028, subject to approval by Instacart shareholders and regulatory approvals in the United States, Canada, Israel, and other jurisdictions; a shareholder holding approximately 19% of the shares has agreed to vote in favor.

#Industry news#Google

HHacker News trending12:51Research

AI score70

YC and Olam Labs run a civilization experiment with 50 GPT-6.1 Sol agents in Minecraft

YC Labs, in collaboration with Olam Labs, conducted multi-agent experiments in Minecraft and Mindustry, and open-sourced a self-built Minecraft agent harness (github.com/yc-software/minecraft-agent-harness). In the Civ50 experiment, 50 GPT-6.1 Sol agents ran for 3 hours in a survival world with the goal of building a prosperous civilization, sending a total of about 5,900 messages and spontaneously forming a hierarchy based on directory order, a rationing ledger, and written rules; 22 of the 34 deaths on the first night occurred, after which the agents clearly tended toward risk avoidance. The experiment also recorded collaboration details such as fishing division of labor and a food rationing ledger.

#Papers/Research#Agents#Open-source ecosystem

HHacker News trending12:51

AI score37

Doomformer: compiling an integer neural network into a DOOM map, using voodoo dolls to do arithmetic

Doomformer compiles an integer neural network into a ZDoom map and runs it in ViZDoom, with voodoo dolls performing arithmetic and sector lighting and floor heights storing values; Python reads back each value from the running game and compares it against a NumPy integer reference with a tolerance of 0. It is about 23,000 times slower than NumPy; a handwritten digit takes 163 seconds in real-time DOOM under the default schedule and 8 seconds with --opt 3. On 10,000 MNIST test digits, the integer network achieves 97.16% accuracy, and all results read back from DOOM are exact.

#English text is being prepared.#Reasoning#Open-source ecosystem