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TodayNovember 13Friday184 items
  1. MIT Technology Review · AI58

    Nvidia privately told Rep. Bill Foster it could track chips to curb smuggling, despite industry pushback

    " Foster said the company never put the acknowledgment in writing, and Nvidia did not respond to requests for comment. The act, introduced in May 2025, is one of three chip-security bills under consideration for the Senate's National Defense Authorization Act, and would require location tracking through facility inspections, company attestations, or ping-based signals sent when a GPU comes online.

  2. Databricks Blog30

    Databricks Debunks Four LTAP Myths About Lakebase Architecture

    Databricks responds to four common misreadings of LTAP, the Lakebase architecture that keeps one governed copy of operational data serving both Postgres and analytics without CDC. The post argues LTAP is not replication: layers in front of the lake are caches, not a second database with its own catalog. It also says heap pages and Parquet are two lossless encodings of the same rows, so point lookups and scans each read the layout fast for them.

  3. MarkTechPost68

    CopilotKit releases OpenBot 1.0, an MIT-licensed self-hostable AI coworker with built-in governance

    CopilotKit released OpenBot 1.0 on November 9, an MIT-licensed, self-hostable agent workspace where teams bring their own models, agents and infrastructure. Every browser click, file write, MCP tool call and component passes through a governance gateway that evaluates a CEL policy and writes the audit row before acting, with deny rules running first and broken rules failing closed. The release adds Mac and Windows desktop apps, a Learning feature that turns a recorded task into a reusable skill, multi-account support through Composio and Arcade, and Bot-to-Bot orchestration; personal use is free and OpenBot for Business costs up to $29 per active user per month.

  4. a16z News58

    Anne Neuberger outlines a national cyber defense plan for the superintelligence era

    Anne Neuberger, a16z general partner and former US Deputy National Security Advisor for Cyber and Emerging Threats, proposes a public-private plan to defend critical infrastructure against AI-speed attacks, published in the Wall Street Journal and summarized by a16z. The plan targets five sectors (power, banking and payments, water, communications, hospitals) and the few hundred operators and shared vendors whose failure would cascade nationally, with goals including zero internet-exposed control systems, 72-hour manual-operation drills and critical vulnerabilities contained within a set time. It would run through a CEO council accountable to the White House's Super Intelligence Force, with sector ISACs delivering AI-enabled scanning, fixes and monthly scorecards, plus legal protections for information sharing and liability.

  5. The Decoder88

    Google releases Gemini 4 Hydrogen, scoring above the larger Argon four weeks after Argon's launch

    Google has released Gemini 4 Hydrogen, a fast general-purpose model for developers and everyday users, priced at $1.50 per million input tokens and $7.50 per million output tokens with a one-million-token context window. Google says Hydrogen scores 51 on the Artificial Analysis Intelligence Index at its default high thinking level and 54 at the new xhigh level, versus 50 for the larger Gemini 4 Argon. Independent testing by Artificial Analysis puts Hydrogen roughly on par with Claude Sonnet 5.5 at maximum thinking, but weaker on agentic terminal work, scoring 54 percent on Terminal-Bench 4.0 against 64 percent for Claude Sonnet 5.5.

    Same event; the pick carries“Google DeepMind releases Gemini 4 Hydrogen, a faster Gemini 4 model for coding and agentic workflows”

  7. AWS Machine Learning Blog38

    Tokenomics at Scale: Tracking and Capping Amazon Bedrock Spend per IAM Principal with CUR 2.0 and AWS Budgets

    AWS shows how to track and cap Amazon Bedrock generative AI spend per IAM principal using only native features: Bedrock automatically records the IAM user or role on every inference request, and those tags become cost allocation tags readable in Cost Explorer or CUR 2.0 exports. An AWS Budget scoped to Bedrock and filtered to one identity or tag value can attach a budget action that applies a Deny IAM policy once a threshold is crossed, with no application code for the common case.

  8. AWS Machine Learning Blog36

    Four Amazon Bedrock inference choices that affect cost

    Amazon Bedrock's cache duration, service tier, reasoning effort, and maxTokens settings can change inference cost without altering the model or prompt. A 5-minute cache write on Claude Sonnet 5 and Claude Opus 5 costs 1.25x the input rate, a 1-hour write costs 2x, and cache reads cost 0.1x; Flex tier requests to unsupported models fail with a ValidationException.

  9. Hugging Face Blog69

    IBM releases LLMON preview models built on Granite 4.1 3B and 8B

    IBM released two experimental preview models, granite-4.1-3b-LLMON-preview and granite-4.1-8b-LLMON-preview, derived from Granite 4.1 base checkpoints and trained to consume and generate LLMON, an LLM-native markup language that marks instructions, data and requirements with reserved special-token delimiters. On the OPI benchmark the models avoid 47% more indirect prompt injection attacks than the best frontier model tested and 95% more than the best open-source model, while performing on par with Granite 4.1 Instruct on standard benchmarks. The release includes a GitHub toolkit with lossless JSON-to-LLMON converters, and the authors note the preview is for exploration, not production.

    Why it matters: IBM trained a preview model on Granite 4.1 that can read and write LLMON tags, using explicit instruction-data separation to reduce the indirect prompt injection success rate on the OPI benchmark to near zero while maintaining general capabilities.

  11. LangChain Blog45

    What Is Eval-Driven Development? How to Improve AI Agents

    LangChain explains eval-driven development (EDD), a three-step process for building AI agents: define what good looks like, write the eval before you build, and compare results after each change. Because agents are non-deterministic, evals score runs across a dataset of examples and can use LLM-as-a-judge, with real agent runs in LangSmith as a source of test inputs.

  12. Claude YouTube76

    Anthropic launches Claude Meetings, adding Claude to team video calls

    Anthropic is rolling out Claude Meetings in beta on Team and Enterprise plans, starting with Google Meet, with other video conferencing platforms to follow. Claude joins the call as a visible participant, builds docs, whiteboards and other artifacts while the team is still talking, and can be asked questions out loud or in chat. After the call, the notes, action items, transcript and anything Claude built appear on the meeting's page in Claude.

    Same event; the pick carries“Anthropic launches Claude Meetings in beta for Google Meet on Team and Enterprise plans”

  14. Ars Technica · AI82

    Google rolls out Gemini 4 Hydrogen, replacing 3.8 Flash across its products

    Google has released Gemini 4 Hydrogen, which replaces Gemini 3.8 Flash across the company's products with immediate access rather than the staged, paid-tier-only rollout used for its recent Argon and Carbon releases. Google says Hydrogen runs at one of four thinking levels (low, medium, high, and a new xhigh) and is 2.5 times faster than Flash 3.8 even in high mode, while cutting fabricated claims by more than 5x. It also more than triples 3.8 Flash's Terminal-Bench score and reaches 54 on the Artificial Analysis Intelligence Index in xhigh mode, versus 50 for Argon.

    Same event; the pick carries“Google DeepMind releases Gemini 4 Hydrogen, a faster Gemini 4 model for coding and agentic workflows”

  16. TechCrunch · AI82

    Google releases Gemini 4 Hydrogen to power more complex Search answers

    Google released Gemini 4 Hydrogen, a fast-execution model it calls its biggest Search improvement yet, and is rolling the update out to all Search users globally. Google says Hydrogen completes tasks 2.5 times faster than Gemini 3.8 Flash and beats the more powerful Gemini 4 Argon on the Artificial Analysis Intelligence Index at its default high thinking level. In Search it improves intent understanding, typo handling, fan-out subqueries and visual responses in AI Mode, and it is also coming to AI Studio, the Gemini API, the Gemini App and Antigravity.

    Same event; the pick carries“Google DeepMind releases Gemini 4 Hydrogen, a faster Gemini 4 model for coding and agentic workflows”

  17. The Verge · AI58

    Google researcher's AI agents did not discover an unknown Maya site, archaeologists say

    A Google researcher's team of 48 AI agents flagged a Maya site in Mexico as potentially unregistered, but archaeologists noted the site had already been documented in an academic journal more than a year earlier. Pietro Miotti, who described the work as a personal side project without Google compute or resources, said he checked with Mexico's INAH and later updated his post to credit the earlier work after criticism on social media. Archaeologists including Sarah Parcak and Ivan Šprajc said spotting a site is not the same as discovering it and stressed that peer review and existing research remain essential.

  18. Newcomer42

    The AI 100: The 100 Private Companies Defining the Age of AI

    Newcomer and Bessemer Venture Partners released the inaugural AI 100 ranking of the most promising private AI companies, with Anthropic at #1 ahead of its expected IPO next week and OpenAI at #2. The 100 companies carry a collective valuation of roughly $3.5 trillion, and the researcher-heavy model companies make up only 9% of the list but 55% of that valuation. Inference players Fireworks (#9), Baseten (#12), Fal (#16) and Modal (#20) also rank highly, alongside pivoted veterans like Stripe (#4) and Anduril (#7).

  19. Databricks Blog22

    How Constellation is building a governed data foundation on Databricks

    Constellation, the largest US nuclear fleet operator, is building a governed Enterprise Data Platform on Databricks to give the business one shared meaning for its data. The platform uses Unity Catalog for lineage, fine-grained access and a single permission model, plus Data Vault modeling for critical reusable entities. Early use cases include a nuclear engineering assistant built with Databricks Genie and outage planning.

  20. Databricks Blog25

    Eclipse Aerospace uses Databricks PySpark custom data sources for flight-data ingestion

    Eclipse Aerospace is using Databricks PySpark custom data sources to ingest nearly 20 years of proprietary flight data, over 3TB spanning more than a million flight hours, without always-on dedicated compute. The Rust-backed Python package delivered twice the benchmarked performance of a similar PyArrow-based pure-Python data source and nearly 20x that of a native Python implementation without Arrow. The API, introduced in Apache Spark 4.0 and available in Databricks Runtime 15.4 LTS, replaces the prior Lambda-to-Avro pipeline.

  21. TechCrunch · AI58

    United Airlines blocks AI agents from booking flights, citing cybersecurity risks

    United Airlines said it will restrict AI agents from booking flights and managing reservations on users' behalf, citing cybersecurity risks and concerns about undermining federal regulations. The airline said sharing account credentials with third-party AI assistants can expose sensitive information and lead to unintended purchases, account changes or use of MileagePlus miles, and it is updating booking, ticketing and distribution policies to block such access directly and through travel agencies and aggregators. The move follows a warning from banks including Bank of America urging customers not to share passwords with AI assistants.

  22. TechCrunch · AI78

    Jensen Huang resigns as Nvidia CEO, raising doubts over Nvidia's open source support

    Nvidia CEO Jensen Huang resigned Thursday after admitting to an affair with an alleged Chinese spy, leaving open whether Nvidia will keep backing open-weight AI. Huang had pushed the Nemotron open-weight model family, backed startups like Reflection AI and Thinking Machines Lab, and organized an open letter signed by 25 companies urging Washington not to over-restrict open models. Nvidia has named CFO Colette Kress as interim CEO and has yet to finalize its $13 billion deal to acquire Hugging Face.

    Same event; the pick carries“NVIDIA Announces CEO Transition as Jensen Huang Resigns, Colette Kress Named Interim CEO”

  25. AWS Machine Learning Blog66

    AWS updates AgentCore runtime with 15x faster session starts and 4x more compute

    AWS announced updates to Amazon Bedrock AgentCore runtime, its managed compute layer for agents, with sessions now starting up to 15x faster, scaling to 4x more compute (up to 8 vCPUs and 32 GB, with container images up to 10 GB) and running up to 68% more efficiently, while each session stays in its own hardware-isolated Firecracker MicroVM. Sessions start in under 2 seconds regardless of image size or concurrency, idle agents scale to zero, and agents can mount and save work to a filesystem such as an Amazon S3 bucket with FUSE support so data stays inside the trust boundary. The runtime is available today in AWS Regions across North America, South America, Europe, and Asia Pacific.

    Why it matters: AgentCore runtime 的新版本把会话启动、算力上限和内存计费一起调整，为需要长时间运行的智能体提供了隔离与成本之间的新取舍。

  26. AWS Machine Learning Blog34

    Building a self-service LLM gateway with Amazon Bedrock and LiteLLM

    A self-service LLM gateway built on Amazon Bedrock Application Inference Profiles and LiteLLM running on AWS Fargate exposes Bedrock foundation models behind an OpenAI-compatible API, giving developers a single base URL and per-user key. The setup adds per-user spend controls, per-model quota isolation, and CloudWatch RPM/TPM observability, with Langfuse for prompt-level telemetry. Self-service key issuance requires LiteLLM Enterprise, since the free tier is limited to five users.

  27. Google DeepMind90

    Google DeepMind releases Gemini 4 Hydrogen, a faster Gemini 4 model for coding and agentic workflows

    Google DeepMind introduced Gemini 4 Hydrogen, a Gemini 4 model built for fast everyday coding and agentic execution rather than the long-horizon reasoning of Gemini 4 Carbon and Argon. It scores 51 on the Artificial Analysis Intelligence Index at its default high thinking level versus 50 for Argon, reaches 54 at a new xhigh setting, and is priced flat at $1.50 per million input tokens and $7.50 per million output tokens across its 1 million-token context window. Google also launched Orchestrator in Google Antigravity, which switches between models like Carbon and Hydrogen within a session and reached near-Carbon task success on Terminal-Bench 4.0 while using 24% less quota and finishing 19% faster.

    Why it matters: Google's Gemini 4 Hydrogen targets fast everyday coding and agentic work, with flat $1.50/$7.50 per million token pricing across a 1M context window and a new Orchestrator that switches between Gemini 4 models.

  28. AWS Machine Learning Blog34

    Optimizing cost per task and proving agent ROI on Amazon Bedrock

    This AWS post argues that Amazon Bedrock spend should be judged by cost per task rather than cost per token, since tokenizer efficiency, output verbosity, agentic loop count and reasoning overhead can make a lower-priced model cost more. A worked example shows a model with 2x the list price finishing 65% cheaper per task, and the post adds caching, routing and output constraints plus a five-dimension scorecard for measuring agent ROI against human baselines.

  30. SemiAnalysis85

    Nvidia and the World Without Jensen: What a Post-Founder Nvidia Looks Like

    SemiAnalysis argues that Nvidia was built around Jensen Huang, who has left the CEO role after 33 years, and that his departure weakens the company's long-term bets, chip allocation deals and personal supply chain lockups. The piece says Nvidia had about 60 direct reports under Huang and lacks a deep bench of successors, with Colette Kress as interim CEO and Ian Buck and Jonah Alben floated as internal technical candidates. It also ties the timing to Washington: more than 1.5GW of restricted Nvidia chips are estimated to have reached China, and the Remote Access Security Act, which passed the House 369-22, is up for a Senate vote.

    Why it matters: SemiAnalysis examines how Nvidia's founder-centric structure, supply chain deals and China policy could change after Jensen Huang's exit, and why export control legislation is moving now.

  31. Google Blog · AI82

    Google Search upgrades globally to Gemini 4 Hydrogen

    Google Search has moved all users worldwide to Gemini 4 Hydrogen, which the company calls its biggest model upgrade to Search yet. The model improves intent understanding for multi-part and typo-heavy questions, adds deeper instruction following and tool calling, and strengthens query fan-out to surface links users might not otherwise find. Responses also become more visual, with more images, comparison tables and custom tools, across all supported AI Mode languages.

    Why it matters: Google Search's largest model upgrade to date, with Gemini 4 Hydrogen now handling multi-part questions, tool calling and query fan-out for all users globally.

  32. The Decoder78

    OpenAI analysis traces how training choices make frontier models hide their reasoning

    OpenAI's safety team analyzed models from GPT-5 through GPT-6 Astra and traced the erosion of readable chain-of-thought to four training factors: rising base-model capability, architecture choice, reinforcement learning after pretraining, and inheritance from teacher models during distillation. Silent reasoning grows with pretraining quality, one anonymized architecture showed a much steeper gain on multi-step planning without a scratchpad, and more RL training made Astra-class and internal Terra models better at steering their own reasoning logs. OpenAI says it needs new monitoring methods beyond reading the scratchpad, and notes that a smaller model reasoning out loud can match a larger one with a short chain of thought at higher compute cost.

    Why it matters: OpenAI's safety analysis traces how pretraining, architecture, RL and teacher-model distillation each erode scratchpad monitorability, framing the loss of visible reasoning as a capability, safety and compute tradeoff developers choose.

  33. TechCrunch · AI38

    Phota Labs launches iOS app that turns everyday photos into professional-looking shots

    Phota Labs launched a free iOS app that uses a personal AI photo assistant to turn everyday snapshots into professional-looking images while preserving subjects' real appearance. The a16z-backed startup, founded by former Adobe computational photography staff Cecilia Zhang and Zach Xia, built its own identity model so edits don't alter faces, and adds invisible watermarks to AI-altered photos. It raised a $5.6 million seed round last year and plans an Android app.

  34. TechCrunch · AI58

    SoftBank's $7.1B quarterly loss includes over $3B tied to surplus natural gas turbines

    SoftBank posted a $7.1 billion quarterly loss, with more than half stemming from losses on power-generating equipment after it placed nonrefundable deposits on more than 13 gigawatts of turbines, roughly 50% more than it needed. The misplaced bet of over $3 billion reflects the electricity mania around AI data centers, though analysts say it is unlikely to trigger mass cancellations of gas power plants.

  35. The Verge · AI38

    GDC Survey: 40% of Game Developers Now Use Generative AI on the Job

    Forty percent of game developers say they use generative AI as part of their job, up from 36 percent in 2025, according to the GDC Festival of Gaming's latest annual industry survey. Usage is highest at free-to-play developers (58 percent) and mobile-only studios (70 percent), with research and brainstorming (73 percent) the top use case. The survey also found 34 percent of respondents were laid off sometime in the past two years.

  36. TechCrunch · AI62

    Hugging Face CEO vows to keep fighting for open source AI after Jensen Huang's exit

    Hugging Face CEO Clément Delangue said he will keep fighting for open-source AI "harder than ever" after Nvidia CEO Jensen Huang's departure, calling it a "really sad day." Nvidia announced in September a $12.9 billion plan to acquire Hugging Face, a deal the U.S. Department of Justice has been inquiring about over competition concerns and which is still scheduled to close in the first half of 2027. Huang had been a prominent advocate for open-weight models, including a July policy letter signed by 25 companies urging the U.S. government not to over-restrict them.

  37. The Verge · AI58

    Study finds ChatGPT, Gemini and Perplexity recommend fake retail websites

    A study by IP protection firm Podqi found that ChatGPT, Gemini and Perplexity all cited or displayed risky retail websites, defined as fake storefronts, reregistered old brand domains or dead sites, in answers to shopping questions about 151 brands. Across 6,795 answers collected in two September testing periods, Perplexity surfaced risky sites in 15 percent of responses, ChatGPT in 8 percent and Gemini in 4 percent, while ChatGPT warned about the risky site it surfaced 24 percent of the time. Queries about smaller brands produced risky sites about twice as often as those about larger companies, and prompts about regional brand websites triggered them more frequently, with Perplexity once naming the wrong page as Stüssy's official site.

  38. The Verge · AI80

    The Jensen Huang scandal is hardly over

    Elizabeth Lopatto argues that Jensen Huang's resignation as Nvidia CEO is unlikely to close the scandal, suggesting the second affair story served as a pretext tied to last week's report that Huang was honeypotted by an alleged Chinese spy. She links the case to chip-smuggling questions around Megaspeed, whose Singapore office The Straits Times found showed no signs of activity, and to Super Micro's alleged $2.5 billion passthrough of Nvidia chips to Alibaba, noting Nvidia reportedly intervened to halt a 2025 Commerce Department investigation of Megaspeed. Lopatto also points to incoming Democratic control of Congress and Elizabeth Warren's planned subpoenas as pressure that could keep the allegations alive.

    Why it matters: The column connects Huang's resignation to unresolved chip-smuggling questions around Megaspeed and Super Micro, tracing how far the export-control allegations may reach.

  39. MarkTechPost71

    AWS Releases AWS Emulator, a Local Emulator of 200+ AWS Services Written by AI Agents

    AWS has released AWS Emulator, a free local emulator of AWS APIs that runs on a laptop, dev server or in CI without an AWS account, and all of its code was written and reviewed by autonomous agents. It is built from 438 AWS API models covering 200+ services and passes 24,243 of 42,857 scored fidelity tests (56.6%) in release v1.0.322, with AWS KMS at 93.9% and AWS CloudFormation at 15.8%. AWS lists clear limits: no IAM policy evaluation, one region and one account, in-memory short-lived resources, and telemetry on by default.