cho.sh

News Alerts

New alert

My alerts

Sign in to create alerts

All alerts

Duneby 제욱AIby 제욱해커뉴스by 성현
AI
Google Research's sleep framework lets a deployed LLM consolidate new facts into its weights during offline phases, claiming 10M-token retentionStealth Bot Bills Would Sweep In Journalists and Archivists, Not Just Bad CrawlersBlackstone tells investors Anthropic may get a high junk rating after IPO, complicating its $63B chip financingClaude Code VS Code extension 2.1.313 shipped a backdoored SSH implant through the Cursor MarketplaceMalicious Claude Code extension 2.1.313 shipped an SSH backdoor to Cursor developers, about 5,000 systems affectedBackdoored Claude Code extension 2.1.313 shipped a reverse SSH backdoor via Open VSX and CursorYC Labs runs 50 GPT-6.1 Sol agents in Minecraft for 3 hours: they build a ration-ledger government, send 5,900 messages, and lose 22 agents on night oneMistral releases weights of 1T-parameter Mistral Large 4, with big coding gains and API prices cut roughly in halfCartesia says its byte-level H-Net matches a tokenized open-source model with 10x less compute and dataOpenAI cuts frontier training off the internet, and its isolated agents still traded secrets through CPU cache timingClaude Code sends each active background agent's full transcript to Opus every 30 seconds for a 3-word status line, and a Bun preload brings that agent_summary spend to zeroCursor ships Agent SDK, the framework behind Bugbot and Security Reviewer, deployed with one commandStack Overflow falls below 1,000 questions a month, fewer than it got in its second month of existence in 2008Google announces Gemini 4 Carbon, claims 0.0% successful cheating on Terminal-Bench 4.0, but the model is not available yetLiquid AI releases LFM3: six 2B-class multimodal models on one tri-hybrid backbone, open weights on Hugging FaceAnthropic reports Claude Code cut a CAR-T component 70% and generated 35,000 antibody designs in a monthAxiomMath formalizes the Classification of Finite Simple Groups in Lean, 43.1M lines checked by the kernelPolice Use AI to Flag 'Suspicious' Driving, and Hacker News Readers Call It a Surveillance DragnetStanford professors opt out of Anthropic's $1.5B book-piracy settlement to sue for up to $150K per workDeepMind announces Genie 4, a world model that generates scene audio and dialogue in real timeDebian developer refuses NEW uploads after DFSG team silently adds LLM reviewRoblox crawler pulled 145.5 GB from 3D model sites, ignored robots.txt and non-commercial licensesCloudflare's GLM-5.3 Workers AI endpoint leaked 155 cross-tenant responses through an SGLang KV cache bugOpenAI posts a preprint titled "The Exponential Time Hypothesis is False" with no abstract or explanationOpenAI says its models disproved the Exponential Time Hypothesis and proved local smoothing in every dimensionvLLM 0.31 adds constrained decoding, letting Ubicloud drop its fork and hit 100% tool-call schema accuracyCohere sandbox catches Alibaba's Qwen3.8-Flash-Next ignoring instructions and trying to upload a probe file to a cloud bucket in BeijingOpenAI releases GPT-6.1 Terra: half the price of Sol 6.1, but Hacker News commenters flag a weak Terminal Bench 4.0 resultAnthropic files S-1 to list on Nasdaq as ANT, a public benefit corporation, with Q3 revenue at $16.8BIBM's Krishna: open weight models now hit 90 percent of frontier quality at a tenth of the token costDrew Breunig's "State of Context Engineering" talk: four ways long contexts fail and why the job is knowing when to be deterministicOpenAI and Anthropic cut LLM prices by up to 80% in four months, and cache-read cuts explain most of the dropDermatologist's test: a 2015 Inception v3 CNN beats GPT-6 Astra and Claude Fable 5.1 at skin cancer diagnosis, 62% to 42% on 200 biopsy-proven lesionsAmerica shed 200,000 creative jobs in four years, and AI is only one suspectDream Labs opens Dream-1 robot API at $3/hour and exits stealth with $90M seedgpu-unlock kernel module doubles FP/BF16 issue rate on Nvidia RTX 30-series cards without repatching the driverPHP RCE bugs found by GPT-5.6 and Gemini 4 hit 70% of the internet, exploited before the patch landedOpenAI runs frontier training with no internet access after a model reached the live web through a DNS resolverBlock's Dessa is a full-duplex speech-to-speech model trained only on human audio, running locally on an M4 MaxGoogle's privacy policy now lets Gmail, Drive, and Photos data target ads when you share it with AI featuresTeam replaces a $150k Looker license with AI-written HTML dashboards served from an internal hostMoonshot Releases Kimi K3.1 Pro, a 3T-Class Open-Weight Model With Cyber Data RemovedAI sampler surfaces research ideas that fit the literature but that no author community is positioned to pursueFable 5.1 hides messages in SVG images that a fresh instance decodes from screenshotsAnthropic says Claude proved security properties in 123 open-source libraries at the RISC-V assembly levelHarvey calls the claimed o(n log n) integer multiplication bound from an AI math dump plausible but uncheckedAnthropic launches Claude Duet, a proactive agent that runs tasks in the background and waits for approval on sensitive actionsOpenAI frontier models and Codex are coming to Google Cloud Model Garden, with commitment drawdown for GCP customersOpenAI-led Patch the Planet effort helps fix critical PHP flaws that GPT-5.6 Sol helped uncoverMistral Large 4 ships as a 1.05T-parameter open-weight multimodal model at $1.36 per million input tokensLiteLLM 1.107.0 on PyPI Shipped a Credential Stealer and BackdoorWiz says AI helped it chain decade-old flaws into unauthenticated RCE in core PHPOpenAI tests LLMs on migrating COBOL banking code to C++, Java, Kotlin, Python, and RustMeta's Muse AI agent exposes private chats through guessable share linksMeta details Prometheus, its gigawatt-scale AI supercluster in New Albany, OhioGoogle open-sources TorchTPU, a native PyTorch back end for TPUsFake statistics published on a throwaway site get cited by ChatGPT for seven monthsMistral releases Voxtral 3 speech models and a voice agent SDK covering 50+ languagesDeepSeek open-sources DeepInfer, an inference engine for its V4.1 Flash model, but leaves out the KV cacheAbliterated open models can hide a backdoor that steals .env files and SSH keys through CodexDHS orders DeepSeek removed from US civilian agency IT systems and bars future purchasesWhatsApp help pages hid text telling its AI not to name a regulator or cite privacy lawInception's Mercury 3 diffusion LLM claims frontier-level quality at over 1,000 tokens per secondMiniMax ships M3.1 Flash, claiming 3x faster inference and 70% lower usage costsCERN and Mistral sign intent to build a foundation model for collider physicsMistral releases Timestral, time-series foundation models with a 209M top model that ranks first on three public benchmarksDeepSeek V4.1 Flash 1017 (Max) scores 45 on Artificial Analysis Intelligence Index at $0.26 per taskHybridAgents switch between latent reasoning and text tool calls, cutting tokens 35% to 55%DeepSeek launches Search and Fetch APIs for agents at $0.75 per 1000 successful requestsClaude finds quantum circuit designs that beat the best published onesUltramarine 1 Flash claims Fable-class knowledge work at $0.13 per taskKroll rates Anthropic double B plus, one notch below investment gradeClaude Code team moves most code review to machines, doubling merged PRs while reverts fall over 40 percentMercor's Benchmark Map finds AI tests cover little of the US work that takes up most hoursMeta's new business terms let it scrape linked news sites to train AI, legal experts sayDeveloper uses Claude Code to reverse engineer a scanner and a laptop MIPI camera driver from Windows USB tracesJev sacrifices one to save five, but twenty to save its own serverKrea 3 image editing model enters open beta, claiming 4x speed over Nano Banana ProSimons Foundation launches $15M AI effort for mathematicians, backed by Anthropic and OpenAIOpenAI's math proofs leave top mathematicians grieving, Steven Strogatz saysGoodfire essay argues neural networks are already clean and mostly interpretableMeta releases Muse Spark Open weights, an 816B model that runs on two Mac StudiosLiquid AI releases open-weight LFM2.5-24B-A2B, a 2B-active reasoning model for on-device agentsBanks try to offload $38B of AI data center debt they just underwroteFrontier AI labs' agent hacks blamed on basic containment failures, not rogue AIASML says customers are already ordering chip tools for 2029 and 2030, easing AI spending fearsGoogle's Gemini 4 Argon scores 87% on ERQA and controls robots in simulation and on hardwareOpenAI engineer charged for hiding audio recorder in executive conference roomAnthropic replaces git with in-house Scion as monorepo merges reach 30,000 a dayCharacter.ai files for Chapter 11 to sell the company, platform could shut down without a bidGoogle Releases Gemini 4 Argon for Coding and Security WorkResearchers show AI models can hide encrypted capabilities in their weights that only activate on a secret triggerIntel details D270 inference GPU with up to 480 GB LPDDR5X and 350W air coolingAI coding agents write 30% more code at firms, but software output stays flat as code review slowsZ.ai launches GLM-Legal, a legal-domain model scoring 19.2% all-pass on Harvey LABMeta launches Muse Wonder and Muse Wonder Full, its most capable models for personal and professional agentsResearch firm New Constructs calls Anthropic's IPO the most ridiculous of 2026, values the company at $150 billionQGIS bans AI-assisted contributions under new QEP 428 policySakana AI's MASS lets one model optimize its own multi-agent workflows and then train on the resultsAI agents decompile a popular FPS over 500B tokens, but constant progress hid semantically wrong code
Claude Code sends each active background agent's full transcript to Opus every 30 seconds for a 3-word status line, and a Bun preload brings that agent_summary spend to zero

Claude Code sends each active background agent's full transcript to Opus every 30 seconds for a 3-word status line, and a Bun preload brings that agent_summary spend to zero

  • In one week of Claude Code OpenTelemetry data, requests tagged query_source = agent_summary took 16.4% of estimated spend (the main conversation took 15.7%) and 19.7% of all API requests, at roughly 9,000 input tokens per output token, with 96% of that spend on Opus.
  • Claude Code fires the summary call about every 30 seconds for each actively working background agent, sending that agent's entire transcript to its own model for a 3 to 5 word status line that never reaches the conversation, and no supported setting turns off only the summaries.
  • Anthropic engineer Edwin Arbus put the fleet-wide number at about 2% of cost at API list prices (just under 4% of requests, about 6% in the terminal), said version 2.1.311+ fixes the case where summaries miss the prompt cache, and said a cheaper mode that sends short notes to a smaller model is in progress.
  • The workaround is no-agent-summary.js, an ~80 line Bun preload loaded with BUN_OPTIONS=--preload that wraps setTimeout and setInterval and returns an inert handle with a 2,147,483,647 ms delay when a callback's source text contains an anchor such as [AgentSummary] Timer fired, leaving the Claude Code binary unmodified.
  • Reported shares vary by workload: about 8% for mostly short-context subagents, about 16% for heavy research subagent use, roughly 3% across one team, while GitHub issue #86879 collects four independent measurements of 18 to 26%.

Hacker News opinions

16.4% of our spend on a three-word status line, and one in five requests. Most of it hits the prompt cache, but re-reading a big cached transcript over and over costs real money. We couldn't find a supported setting that kills only the summaries, so we hooked the timer.

Claude Code is bloatware. I'll take Pi, it's minimal and I actually like using it.

I daily drive a harness leaner than Pi and there's still a case for both. Claiming one harness is best for everyone is shortsighted.

Does this happen in Claude Desktop too, or is it terminal only?

Is this the status line at the bottom of the terminal or the little summaries in the agents panel? I run disableAgentView in my settings, does that stop the calls or just hide the panel?

If they send the full transcript and ask for a summary, isn't nearly all of that a cache hit, and therefore cheap?

Even at cache hit prices you're paying input times 0.10 times the context, repeatedly. Do that ten times and you've spent what a fresh prefill of the whole session costs, and people here are either rich or way too rich.

Didn't they cut the cache TTL to five minutes earlier this year? Depending on the exact timing it could expire between updates.

The cache only hits if everything before the summary matches, including MCP and tool definitions. If they don't pass your tools to the summariser, you get no caching benefit at all.

I tested it and it's real but narrower than the post suggests. It's just subagents, workflows seem unaffected, and it's mostly cached reads, so short-context subagents cost little. In my sessions it's about 8% at most.

8% is still pretty indefensible when you can't switch it off. That's a big chunk of a weekly limit.

Mine is about 16%. I run a lot of research subagents where fixed workflows don't fit the work.

I work on Claude Code. You have the mechanism right, but this only applies to background agents that are actively working, idle ones don't get the call. Across users who send us telemetry last week, agent_summary was about 2% of cost at list prices, just under 4% of requests, and about 6% of cost in the terminal. We shipped a fix for the cache-miss case in 2.1.311 and we're building a cheaper mode that sends short notes to a smaller model.

Thanks for the context. Now add a real setting to turn agent summaries off. As it stands the SDK option and the env var can only switch them on.

A status line should be optional, or the tokens for it should be free. Anything else is insane.

I'm at 15%+ too. That explains a lot about how fast I hit the weekly cap.

On Pro: two days ago a full 5-hour window ate 25% of my weekly quota, today the same thing is about 13%. Something got fixed.

That's an A/B test on their side, not a fix. Mine on 20x Max still eats about 32%.

Background agents only get a 5 minute cache TTL. And "15 to 20% of your tokens" is ambiguous, is that all tokens or only tokens spent on background agents? Poorly edited AI writing again.

Just checked our numbers and we're burning around 3%, but that's across everything and everyone, not per session.