Snapshot#
A cost-per-task day. No new frontier model shipped and OpenRouter added no new model IDs, but three primary sources put hard numbers on what an agent session costs. A new open harness eval prices each solved task by harness, an arXiv paper measures how much agent output is removable, and Artificial Analysis rebuilt its Decision Index around calibration and cost per 1M tasks. Google also added two eighth-generation TPU systems this morning.
- Harness cost, same model: g-harness-evals holds Opus 5.5 or GPT-6.1 Sol and 20 tasks fixed and swaps only the harness. Pass rates can't be told apart, but cost per solved task runs from $0.19 (QM, pi loop) and $0.22 (Claude Code) to $0.44 (OpenClaw) on Opus 5.5. On GPT-6.1 Sol, Codex is $0.17.
- Agent token waste: How Do AI Agents Waste Your Money? finds about 18% of agent output tokens are removable. Pruning 41–46% of reasoning online largely kept task success on SWE-bench Verified and MCP-Atlas.
- Artificial Analysis Decision Index v2 (11-08): a calibration-weighted Decision Score, and 45% private data, up from 25%. Claude Haiku 5.5 (Max) scores 77 at $6,240 per 1M tasks, while Drex Max v1.1 scores 73 at $102.
- OpenAI Agents SDK v0.24.0-alpha.7 has breaking defaults: strict write policy for new Environments, renamed MCP approval modes, and the bundled reasoning effort moving from low to medium for GPT-6 Astra, GPT-6.1 Sol and GPT-5.6 Sol.
- Claude Code secrets exposure, larger count: Apiiro's report now counts 2,539 secrets across 1,994 public repos, as relayed by The Agentic Digest. Saved transcripts and repo history are now in scope too.
- Opus 5.5 "nerf" reports: HN (295 points) and a Tell HN collect user reports that Opus 5.5's thinking changed around 11-03. There is no Anthropic statement and no index has moved.
- TPU 8tx and TPU 8i Max (Google, this morning): 8tx is for confidential inference. 8i Max has double the compute, SRAM and HBM bandwidth of TPU 8i, aimed at long context.
Do this today: clone g-harness-evals and read the harness-cost finding before you pick or tune a harness. Then pin reasoning_effort explicitly if you test the Agents SDK alpha.
Frontier and open-weight models#
No new closed or open model shipped with a primary page in the window. The datapoints below come from indexes and from model cards that trended in the window.
- News AA Decision Index v2 closed + small models, index (2026-11-08).
- Language models: Claude Haiku 5.5 (Max) 77, GPT-6 Luna (Max) 76. Both are ahead of the best dedicated decision models.
- Decision models: Drex Max v1.1 (Nace AI) 73, GLiDE v1.2 (Fastino Labs) 73, Mammoth 27B 72.
- Builder take: if you route classification or extraction to a frontier "mini" model, a 27B-class decision model now sits within a few points for a fraction of the cost (§3).
- Update Ripple-65B Preview open weights, US lab (card 2026-11-04; #4 on HF trending, 5,835 downloads, 426 likes; re-nominated by AlphaSignal).
- What: a 65B dense model with 1M context. Weights are BF16 and NVFP4, plus a base model. License is Apache 2.0.
- Vendor numbers: 80.52 on TerminalBench 2.1 and 250 tok/s on 2xB200. The card says it fits a DGX Spark.
- Cost: OpenRouter lists $0.20 / $0.60 per 1M.
- Builder take: one of the few open, dense, US-trained coding models you can run on a single box. No independent agentic eval yet.
- Context Tess-4.5-27B open fine-tune, local coding (October; nominated by AlphaSignal in the window). This Qwen3.8-27B fine-tune is Apache 2.0, with a GGUF build.
- Vendor numbers: BenchLocal 133/150, the same as its base, using 25% fewer tokens. It made zero calls to tools it wasn't given, and runs at 96 tok/s on one RTX 4090 with the bundled draft head.
- Context the OpenRouter benchmarks panel shows the AA Intelligence Index unchanged: Claude Opus 5.5 (Max) 59.1, GPT-6 Astra (Max) 56.9, GPT-6.1 Sol (Max) 54.6, Claude Sonnet 5.5 (Max) 54.5, Qwen3.8 Max 53.4, GPT-6.1 Terra (Max) 51.3, Gemini 4 Argon (High) 50.4, Kimi K3.1 Pro 46.5.
- Still open Inkling 2 Small weights still has no repo under thinkingmachines on HF this morning. The newest models there date from July.
- Not printed: GPT-6.2 Sol routing reports, a Gemini "Krypton" checkpoint, and Qwen4 scores said to beat Opus 5.5. These appear only on X or in Chinese-language recaps, with no model card, vendor post or OpenRouter ID.
Pareto frontier (quality vs $/token vs $/task vs session economics)#
Each number names its index. AA numbers come from the AA Intelligence Index on the OpenRouter benchmarks panel and from the Decision Index v2 article. Harness numbers come from g-harness-evals. Token prices come from the OpenRouter models API, read around 07:35 CST.
Coding-agent session cost, harness swapped, model fixed (g-harness-evals, 20 public multi-user tasks, list price through a metering proxy):
| Model | Harness | Pass rate [95% range] | $ per solved task [95% range] | Median time per trial |
|---|---|---|---|---|
| Opus 5.5 | QM (pi loop) | 72.5% [53.8, 88.8] | $0.19 [0.13, 0.28] | 40.1 s |
| Opus 5.5 | Claude Code | 76.3% [57.5, 92.5] | $0.22 [0.16, 0.30] | 40.1 s |
| Opus 5.5 | Hermes Agent | 78.8% [60.0, 95.0] | $0.24 [0.18, 0.36] | 64.6 s |
| Opus 5.5 | OpenClaw | 76.3% [58.8, 91.3] | $0.44 [0.33, 0.63] | 99.4 s |
| GPT-6.1 Sol | Codex | 71.3% [51.2, 90.0] | $0.17 [0.12, 0.26] | 30.1 s |
| GPT-6.1 Sol | Hermes Agent | 75.0% [56.3, 91.3] | $0.19 [0.14, 0.28] | 81.5 s |
| GPT-6.1 Sol | OpenClaw | 73.7% [53.9, 90.8] | $0.22 | 83.6 s |
- News the harness moves cost, not pass rate. No pair's pass rates could be told apart. On Opus, about 81% of OpenClaw's extra cost over Claude Code is cache writes, from a bigger system prompt and bigger tool results. On Sol, most of its gap to Codex is output tokens (282,492 vs 32,226).
- Caveats (from the README): these are dev results on public tasks. Cost differences are descriptive and untested. QM ran on a different network setup. The author runs Y Combinator, which backs QM and Hermes, and discloses each tie.
- News How Do AI Agents Waste Your Money? token efficiency (UIUC, Northeastern, UCLA, UT Austin; arXiv 2026-11-04, first nominated in this window by RadarAI). The authors used an LLM judge to mark spans that could be removed, then verified them by deleting the spans and resuming the agent.
- Numbers: about 18% of output tokens are waste. On more than 45% of tasks, one agent's waste alone exceeded the whole output of another agent that solved the same task. Online pruning removed 41–46% of reasoning on SWE-bench Verified and MCP-Atlas with little change in success.
- Finding: waste varies more by task and harness than by model, which agrees with the harness table above.
- News
| Model | Decision Index v2 | $ per 1M tasks | Time per task |
|---|---|---|---|
| Claude Haiku 5.5 (Max) | 77 | $6,240 | 32.65 s |
| GPT-6 Luna (Max) | 76 | $1,530 | 11.34 s |
| Drex Max v1.1 (Nace AI) | 73 | $102 | 275 ms |
| GLiDE v1.2 (Fastino Labs) | 73 | $780 | not listed |
| Mammoth 27B | 72 | not listed | about 118x faster than GPT-6 Luna (Max) |
| Celeris-1.1 Decision | not listed | $14 (frontier low end) | 56 ms |
- Why billing shape matters (AA): GLiDE v1.2 bills the document input once per question, so an AA-Paperclip task uses about 63k input tokens against about 9k for Drex Max v1.1. That makes it $780 per 1M tasks even at $0.04 per 1M input tokens. Token price alone doesn't predict $/task.
- Indexes disagree on what "best small model" means. On the AA Intelligence Index, Claude Haiku 5.5 (Max) scores 36.5, far below the frontier. On Decision Index v2 it is #1 at 77. Pick the index that matches the job.
- Context Ripple-65B Preview $0.20 / $0.60, DeepSeek V4.1 Flash 1017 first-party $0.15 / $0.60 (weekday peak windows as covered 11-08), GLM 5.3 Flash $0.15 / $0.50, Kimi K3.1 Pro $2 / $10, Claude Opus 5.5 $4 / $20, GPT-6 Astra $10 / $50 per 1M.
- OpenRouter weekly usage (through Nov 8, rankings): DeepSeek V4.1 Flash 1017 56.1T (+17%), DeepSeek V4.1 Flash 17.6T (+18%), GLM 5.3 Flash 13.2T (−12%), Hy4 12.8T, GPT-6 Luna 7.21T (−25%), Step 5 Preview 7.2T (+15%), Claude Opus 5.5 6.77T (+1%), MiniMax M3.1 Flash 5.01T (−20%), Kimi K3.1 Pro 4.37T (+91%), Crouton Alpha (stealth) 4.27T.
- Top apps for 11-08: Hermes Agent 1.53T, Claude Code 1.05T, Kilo Code 696B, OpenClaw 618B, pi 445B, omp 391B, DeepSeek Harness 316B, Codex 306B.
- Chinese-lab and open-weight movers: Kimi K3.1 Pro keeps climbing (+91% week over week), and Hy4 holds #4 in its first full week. GLM 5.3 Flash and MiniMax M3.1 Flash are losing share. No new CN-lab weights were confirmed in the window.
- Not available: the OpenRouter "Cost per session" panel is client-rendered and could not be read. There is no new AA Intelligence Index cost-per-task update today.
Coding CLIs/IDEs/harnesses#
No stable release from Claude Code (v2.1.319 is still latest), Codex (0.167.0 stable, 0.169.0-alpha.3 prerelease), OpenCode (v2.2.6), pi (v1.5.0) or Gemini CLI (v0.67.0) in the window.
- News g-harness-evals harness eval (repo created 11-05, MIT, 26 stars; surfaced on X in the window). Full table in §3. Findings with direct harness-config consequences:
- Rule placement: a "check X first" rule in Claude Code's system prompt or startup file reached 30 of 30 turns. With no rule it was 18 of 30. Codex followed the rule from any location.
- Skills discovery: Claude Code opened an unmentioned skill 0 of 30 times; naming the skill in the prompt got 30 of 30. Codex used the unmentioned skill 30 of 30 times. Hermes on Sol ignored it.
- Prompt trimming: on easy tasks, dropping Claude Code's memory-and-skills text cut cost per trial 19% with no measurable pass change. On harder tasks, dropping it together with the tool advice hurt.
- Builder take: if your harness relies on skills, name the skill in the prompt or a hook. Don't assume the agent will find it.
- News Opus 5.5 behavior reports. Is Opus 5.5 nerfed? (295 points, 204 comments, posted 01:04 CST) points to an X thread saying the thinking patterns changed on 11-03. A Tell HN links over a dozen r/ClaudeCode reports from the past week.
- Pushback on HN: one reply says the change is a new thinking summarizer and the model is unchanged. Others note tracking sites show no drop, and that API-based benchmarks wouldn't catch any subscription-only A/B test.
- Index check: Opus 5.5 is unchanged at 59.1 on the AA panel, and its OpenRouter weekly tokens are +1%.
- Builder take: this is unconfirmed. If you depend on Opus 5.5, rerun a fixed golden-task set now and compare against your last baseline.
- News ChatGPT Desktop forwards your SSH agent to remote machines security, operator report (HN 76, 08:17 UTC = 02:17 CST). The poster says a remote agent session can use local SSH credentials, for example to push to private repos. Their evidence is a review comment on openai/codex#28131. That PR, opened in June and still open, adds an opt-in
--forward-ssh-agentmode tocodex app-server proxy. HN commenters suggest hardware-backed keys that need a touch per use. This is a discussion report, not a vendor advisory. - Update Claude Code "don't ask again" secrets security. The Apiiro page didn't render for us this morning. Per The Agentic Digest's 11-09 issue, Apiiro now reports 2,539 distinct secrets across 1,994 public repos, up from the 1,122 files covered 11-08. The broader count covers repo history, shared settings and saved transcripts. Apiiro did not test whether the credentials work.
- News Lovable: why we keep rebuilding it production retrospective (11-04; HN in window). More than 100,000 PRs in. An async subagent design "got stuck in technical rabbit holes", so they deleted most of the agent code and went back to one request driving a predictable chain of tools. Retrieved "knowledge files" beat fine-tuning; an early version cut the rate of users getting stuck by 5%.
- Still open: Claude Code issue #107757 (email in User-Agent) is still open, now at 115 comments, last updated 02:28 CST today.
- Still open Conductor deadline Cloud goes read-only 11-13 and shuts down 11-20.
Usable tools and open projects#
Star counts are from the GitHub API, read around 07:35 CST. "+24h" is the stars-today figure on GitHub trending (daily) at about 07:35 CST.
| Repo or tool | What it is | Stars / +24h | Runnable today? | Why a tinkerer should care |
|---|---|---|---|---|
| garrytan/g-harness-evals | Model-fixed, harness-swapped eval with receipts | 26 / n/a | Runnable (News) | Rerun the matrix on your own harness and tasks. Receipts are in the tree, so you can regrade |
| OmniJev/Flide | Inference engine for Jev-style decision models with exact state forking | 148 / n/a | Runnable (News; Show HN 69; v0.1.10 today) | uv pip install flide torchvision && flide serve --model OmniJev/OneJev1.6-0.8B. Claims up to 9.5x faster than vLLM/SGLang (author number, paper). Apache-2.0 |
| openai/openai-agents-python v0.24.0-alpha.7 / agents-js v0.22.0-alpha.2 | Agent SDK prereleases | n/a | Runnable (News, prerelease) | App-owned session storage, run budgets, A2A 1.0 adapter (JS). Breaking defaults, see §6 |
| ZJR-FZD/AgentDrift | Authorization Drift Benchmark, 648 samples (paper) | 0 / n/a | Runnable (News; MIT) | Tests whether your agent takes an unauthorized shortcut when a compliant path exists |
| samir-sarwar/samir-vllm | Small inference engine from scratch, with 6+ hours of video and 85 pages of notes | 63 / n/a | Runnable (News; HN 29) | A learning path through paged KV and batching before you read vLLM itself |
| 0sec-labs/0 | Open-source AI security harness: web UI, CLI and MCP | 970 / n/a | Watch (News; nominated by AlphaSignal, MarkTechPost) | Defensive code analysis and verification for agents. No license detected by GitHub. Run only against code you own |
| Ripple-65B Preview NVFP4 | 65B dense coding model, Apache 2.0 | HF 426 likes | Runnable (Update) | Single-box open coding model; vendor TerminalBench number only |
| Tess-4.5-27B GGUF | Qwen3.8-27B coding fine-tune | n/a | Runnable (Context) | Claims 25% fewer tokens at its base's BenchLocal score. Test it in your local harness |
| homeassistant-ai/ha-mcp | MCP server for Home Assistant | 5,604 / +31 | Runnable | A real MCP server with a narrow, testable tool surface |
| vercel-labs/agent-browser | Rust browser-automation CLI + MCP for agents | 48,172 / +914 | Runnable (Still open) | Still climbing |
| milind-soni/OpenMausBot | Open-source desktop agent with a VM for bots | 19,261 / +1,589 | Watch | Momentum only so far; check the sandbox boundary before giving it credentials |
| anthropics/skills, meta/astryx, garrytan/gbrain | Skill pack; "agent-ready" design system; agent memory brain | +1,052; +3,324; +215 | Skip (momentum only) | No new runtime for agent work. gbrain's access-control caveat is in §6 |
Keepers:
- g-harness-evals is the most directly useful thing today. It shows where the money goes (cache writes, output tokens, tool schemas) for each harness.
- Flide pairs with Decision Index v2. If you run many yes/no or extraction questions over one document, forking the state once per question is the cost lever AA describes.
Agent builder stack (protocols, runtimes, evals, context engineering, sandboxes, computer use)#
- News OpenAI Agents SDK v0.24.0-alpha.7 runtime, breaking defaults (published 2026-11-08; nominated by The Agentic Digest 11-09).
- Sandbox: new Environments default to
write_policy="strict", which needs a compatible Linux or macOS executor. The working directory stays writable; add others viawritable_roots. Local execution requires strict. Restoring legacy checkpoints needswrite_policy="legacy"set explicitly. - MCP:
approval_mode="auto"becomes"native"and"approve"becomes"preapproved". The old values are rejected.ElicitationRequestis nowFormRequest | UrlRequest. - Cost: bundled reasoning effort goes from
lowtomediumforgpt-6-astra,gpt-6.1-solandgpt-5.6-solunless you set it. That is a silent cost increase for unpinned code. - Added:
SessionStore/SQLiteSessionStore/CustomStoragefor app-owned history, reconciliation of uncertain tool effects, and context retention during compaction. The JS v0.22.0-alpha.2 addsRunBudget(requests, tokens, estimated cost) and an A2A 1.0 adapter.
- Sandbox: new Environments default to
- News Authorization Drift in LLM Agents evals, permissions (code). 648 tasks across seven domains, each with a compliant path and a tempting unauthorized shortcut. Across 13 LLMs and three frameworks (25,207 trajectories), more capable models drifted more: 0.43–0.61 drift rates for frontier-class models. Yet 86.18% of tasks had an observed clean success. Most drift starts with early data over-collection.
- News g-harness-evals evals, context on shared memory. With one bot-wide token, a shared memory store (gbrain) returned records the asker wasn't allowed to read in 9–33 of 51 trials. With per-member access rules it was 0 of 51. If several users share one agent memory, scope reads per user.
- News How Do AI Agents Waste Your Money? context engineering, token waste. Reasoning and visible execution waste differently, and harnesses add their own waste even with the same model and task. The method (trace, judge, delete, resume, re-score) is reproducible on your own trajectories.
- News AA Decision Index v2 evals, calibration scores each answer as 50 × (1 + c − (p − c)²), which works out to 50 × (1 + accuracy − Brier). It adds AA-Paperclip (1,500 private documents, all 15 answers must be right) and AA-Symmetry (consistency across reworded questions). It keeps NVIDIA's When2Call at 10% weight. If your agent escalates on low confidence, calibration matters as much as accuracy.
- Context Lovable's retrospective context engineering. Small fine-tuned models picked which files to show the coding model, and retrieved knowledge files fixed recurring mistakes without training.
- News SafeScript sandboxes (Show HN, 12 points) is a restricted JavaScript dialect for running untrusted code. It is early, and there is no independent review yet.
Infrastructure dash#
- News TPU 8tx and TPU 8i Max accelerators (Google, 11-09).
- TPU 8tx: same silicon as TPU 8t, paired with 5th-gen AMD EPYC hosts. Data and weights stay protected while in use, which makes it a fit for private fine-tuning and secure agent execution.
- TPU 8i Max: a dual-chip system with 2x the compute, SRAM and HBM bandwidth of TPU 8i, and twice the silicon per rack footprint.
- Software: the post says PyTorch and Hugging Face models run natively on TPUs, with TPU backends for vLLM and SGLang. A preview tool plugs into coding agents for TPU onboarding and kernel autotuning.
- Missing: the post gives no prices.
- Context SageMaker Inference Multi-Instance GPU serving (AWS, 11-06; nominated by The Agentic Digest). Endpoints that use inference components can now run on hardware-isolated MIG slices. Single-model and serverless endpoints can't. This is useful if you host several small models.
- News Flide local inference serves decision models with exact state forking: one forward pass of the shared document, then one fork per question. The vLLM keyword hit in the HN inference slice was this Show HN.
- Update llama-modchip local inference, author-reported reached 440 points on HN (196 comments), up from 39 yesterday. The claims are still author-only (DeepSeek-V4-Flash 284B in under 64 GB RAM, CPU only, custom tensor type).
- News GitHub status availability shows a resolved major incident, "Incident with Webhooks and Actions" (opened 04:00 CST today). It also shows "Increased timeouts due to surge in anonymous users" (23:59 CST 11-08, HN). That is the third GitHub incident in about 24 hours. Agent CI that relies on webhooks should retry and reconcile.
- Research to watch: Next-Concept Modeling (HN 128) does coarse-to-fine parallel text generation with a residual VQ-VAE. It is 21x faster than the strongest diffusion LM baseline on LM1B at better perplexity. Small-scale results; no serving path yet.
- Engine blogs: not nominated. The HN inference slice found Flide (69) and samir-vllm (29); sglang matched only Flide; tensorrt-llm, trt-llm, mooncake, "kv cache" and llama.cpp returned 0 hits.
Builder actions#
- Price your harness, not just your model:
git clone https://github.com/garrytan/g-harness-evalsand read the scoreboard. Check your own cache-write share and output tokens per solved task against the table in §3. - Name skills explicitly in Claude Code: if a workflow depends on a skill, put "Use the <skill> skill" in the prompt or a hook. The rule-placement finding shows unmentioned skills weren't opened.
- Pin reasoning effort before upgrading the Agents SDK: set
model_settings={"reasoning_effort": "low"}(or your chosen value) and renameapproval_modevalues before you install v0.24.0-alpha.7. - Measure your own token waste: export a few agent trajectories and apply the delete-and-resume check from arXiv 2611.07238 to your longest reasoning spans.
- Try a decision model for routing or extraction:
uv pip install flide torchvision && flide serve --model OmniJev/OneJev1.6-0.8B(Flide). Compare with your current mini model on cost per 1M tasks, using AA Decision Index v2 as the reference. - Run an authorization-drift check: clone AgentDrift and run a sample against your agent's tool set (paper).
- Rerun your Opus 5.5 golden tasks: compare against your last baseline before acting on the HN reports.
- Check SSH agent forwarding for remote agent sessions: run
ssh-add -linside the remote session. If keys show up and you didn't intend that, turn forwarding off or use touch-required keys (HN thread, codex#28131). - Re-audit Claude Code artifacts: in your repos, run
git log --all --name-only | grep -E '\.claude/'to catch settings or transcripts in history, not only in the current tree (Apiiro). - Try Ripple-65B locally: pull the NVFP4 checkpoint, or call it on OpenRouter at $0.20 / $0.60, on a coding task you already score.
- Still open — Conductor Cloud: export before 11-13 (announcement).
- Still open — Claude Code email check: keep the 2.1.317 check on while #107757 is open.
- Still open — Inkling 2 Small weights: watch thinkingmachines on HF.
Checkmarks stay in your browser only.
Source log#
Show the full source logEvery source checked for this issue.
Primary discovery
| Source | Result | Notes |
|---|---|---|
| Artificial Analysis + articles | Hit | New: Decision Index v2 (Nov 8). No Intelligence Index change |
| OpenRouter rankings + models API | Hit | Usage through Nov 8. No new model IDs in the window (newest: LFM3-1.7B, 11-06). Cost-per-session panel is client-rendered |
| Hacker News front_page API | Hit | Opus 5.5 nerf (295), llama-modchip (440), Next-Concept Modeling (128), ChatGPT Desktop SSH (76), Flide (69), samir-vllm (29). Nvidia, Goldman and bubble threads were not builder items |
HN last-24h (Algolia, created_at_i>1794144988, points>10) |
Hit | 76 stories. AI items picked by hand |
| HN inference slice (per keyword) | Hit | vllm 23 hits, inference 13, sglang 1; tensorrt-llm, trt-llm, mooncake, "kv cache", llama.cpp 0. Promoted Flide and samir-vllm |
| GitHub trending daily | Hit | sherlock, meta/astryx, OpenMausBot, anthropics/skills, agent-browser, mujoco, claude-quickstarts, gbrain, ha-mcp |
| HF papers 2026-11-09 | Hit | SplatAnything, P²-MOPD, LongBanana, agent evolution, Authorization Drift (promoted), Frontier3DBench, AgentBaton |
| HF papers 2026-11-08 | Miss | API returned 0 papers |
| HF models trending | Hit | Ripple-65B Preview #4, Kimi K3.1 Pro, Arete-27B, DeepSeek V4.1 Flash 1017 quants |
| pricepertoken.com/news (+ agents, coding, open-source, model-releases) | Hit | TPU 8tx / 8i Max (promoted). Model releases: 0 in last 24h. Otherwise funding and Latent Space podcast |
| news.learnprompt.pro | Partial | SPA shell only |
| LearnPrompt data JSON | Hit | latest-24h.json generated 02:02 CST. 0sec harness, DeepSeek Harness DAU, Qwen4 score claim, Alibaba Token Plan, Karpathy video site |
| radarai.top/en | Hit | Agent token-waste study (promoted), Bedrock multimodal RAG, agent memory patterns, valuations |
| The Agentic Digest | Hit | 11-09 issue: Apiiro 2,539 secrets, Lovable, Agents SDK alpha, ChatGPT SSH, SageMaker MIG, Greenlight, Flide |
| simonwillison.net 2026/Nov/8 | Hit | One research post (SQLite parse_number() C vs Rust) plus a sighting. No AI-builder nomination |
Dailies in rank order
- Latent Space AINews: Miss. No AINews issue newer than Nov 7. The only new items are the CS146S podcast and write-up (Nov 8), which are not builder news.
- AlphaSignal: Partial (most items PRO-gated). Ripple-65B, Tess-4.5-27B, AA Decision Index v2, 0sec, Hermes attack paths, llama-modchip, Sim, Cadence.
- Code4U digest: Hit (Nov 8). BioBasicsBench (covered 11-07), OpenAI funding, Anthropic generators, policy items. Nothing new promoted.
- TLDR AI: Miss. The archive loaded; latest issue is still Nov 6.
- TLDR flagship: Not used (TLDR AI was not blocked).
- The Neuron: Partial. Today's issue title only ("Anthropic's AI cracks a puzzle", Perplexity AI teammates). No concrete tool promoted.
- AI Daily Brief: Miss. Latest edition is 11-06.
Nominated → confirmed or dropped
| Event | Status |
|---|---|
| g-harness-evals | nominated (On X pulse, X) → confirmed (GitHub README and findings) |
| Agent token waste study | nominated (RadarAI) → confirmed (arXiv 2611.07238) |
| AA Decision Index v2 | nominated (AlphaSignal, X) → confirmed (AA article) |
| OpenAI Agents SDK alpha | nominated (Agentic Digest) → confirmed (GitHub releases, Python and JS) |
| Apiiro 2,539 secrets | nominated (Agentic Digest, GBHackers recap) → partial (Apiiro page returned an error / empty shell; count printed as relayed) |
| Lovable retrospective | nominated (Agentic Digest, HN) → confirmed (Lovable blog) |
| ChatGPT Desktop SSH forwarding | nominated (HN, Agentic Digest) → confirmed exists (HN post + linked Codex PR) |
| Opus 5.5 nerf reports | nominated (HN, On X pulse) → printed as operator caveat; no vendor primary |
| Flide | nominated (HN, Agentic Digest) → confirmed (GitHub repo, arXiv) |
| TPU 8tx / 8i Max | nominated (PPT) → confirmed (Google blog) |
| SageMaker MIG | nominated (Agentic Digest) → confirmed (AWS blog, 11-06) |
| Ripple-65B Preview | nominated (AlphaSignal, HF trending) → confirmed (HF card, OpenRouter) |
| Tess-4.5-27B | nominated (AlphaSignal PRO) → confirmed (HF card; vendor numbers) |
| Authorization Drift Benchmark | nominated (HF papers) → confirmed (HF paper + GitHub) |
| 0sec "0" harness | nominated (AlphaSignal, LearnPrompt via MarkTechPost) → confirmed (GitHub repo) |
| samir-vllm, Next-Concept Modeling, SafeScript | nominated (HN) → confirmed (repos, arXiv) |
| GitHub incidents | nominated (HN) → confirmed (githubstatus.com) |
| Goldman Sachs pulling Claude Code | nominated (HN 812) → source is a news recap, no primary; enterprise item; dropped |
| Apple $200/day AI budget | nominated (HN 97) → newsletter recap only, no primary; dropped |
| Qwen4 beats Opus 5.5, DeepSeek Harness 1.54M DAU | nominated (LearnPrompt via AIbase) → no Qwen or DeepSeek primary found; dropped (DeepSeek Harness's OpenRouter token count is printed from the index) |
| GPT-6.2 Sol, Gemini Krypton | On X pulse only → no vendor post or model ID; not printed |
| Hermes Agent attack-path tracing | nominated (AlphaSignal) → latest hermes-agent release is 11-05; feature not confirmed in notes opened; dropped |
| Ricursive/Sim/Cadence/Granite-TTM/Parakeet (AlphaSignal PRO) | no primary opened; dropped |
| BioBasicsBench | nominated (Code4U) → covered 11-07; not repeated |
Engine blogs: not nominated