diff --git a/athena_top20.md b/athena_top20.md new file mode 100644 index 0000000..347ff7e --- /dev/null +++ b/athena_top20.md @@ -0,0 +1,45 @@ +# Athena AI News — Top 20 (Monday Week-Open, Today Only) + +> Generated 2026-07-13 20:54 UTC · recency-guard ON · GitHub EXCLUDED (standing rule) · ranked by virality × recency × editorial fit +> Source: oracle.db · 20 shown of 129 fresh today (-GitHub) · 98 older re-posts dropped + +| # | Title | Source | Score | Age | Link | +|---|-------|--------|-------|-----|------| +| 1 | Zig Creator Calls Spade a Spade, Anthropic Blows Smoke | hackernews | 0.573 | today | [link](https://raymyers.org/post/zed-creator-calls-spade-a-spade/) | +| 2 | Grok uploaded my user directory to xAI's servers | hackernews | 0.527 | today | [link](https://twitter.com/a_green_being/status/2076598897779020159) | +| 3 | Ask HN: Add flag for AI-generated articles | hackernews | 0.519 | today | [link](https://news.ycombinator.com/item/48886741) | +| 4 | I love LLMs, I hate hype | hackernews | 0.468 | today | [link](https://geohot.github.io//blog/jekyll/update/2026/07/12/i-love-llms.html) | +| 5 | What xAI's Grok build CLI sends to xAI: A wire-level analysis | hackernews | 0.442 | today | [link](https://gist.github.com/cereblab/dc9a40bc26120f4540e4e09b75ffb547) | +| 6 | Show HN: Clawk – Give coding agents a disposable Linux VM, not your laptop | hackernews | 0.437 | today | [link](https://github.com/clawkwork/clawk) | +| 7 | Old and new apps, via modern coding agents | hackernews | 0.435 | today | [link](https://terrytao.wordpress.com/2026/07/11/old-and-new-apps-via-modern-coding-agents/) | +| 8 | xAI's Grok Build CLI Uploads Git Repositories to a Google Cloud Bucket | hackernews | 0.433 | today | [link](https://www.internationalcyberdigest.com/xais-grok-build-cli-uploads-entire-git-repositories-to-a-google-cloud-bucket/) | +| 9 | Migrating a production AI agent to GPT-5.6: 2.2x faster, 27% cheaper | hackernews | 0.420 | today | [link](https://ploy.ai/blog/migrating-a-production-ai-agent-to-gpt-5-6) | +| 10 | Mesh LLM: distributed AI computing on iroh | hackernews | 0.394 | today | [link](https://www.iroh.computer/blog/mesh-llm) | +| 11 | AI boosts research careers but narrow the span of ideas explored: study | hackernews | 0.358 | today | [link](https://spectrum.ieee.org/ai-science-research-flattens-discovery) | +| 12 | Stop Telling Me to Ask an LLM | hackernews | 0.355 | today | [link](https://blog.yaelwrites.com/stop-telling-me-to-ask-an-llm/) | +| 13 | Show HN: Mindwalk – Replay coding-agent sessions on a 3D map of your codebase | hackernews | 0.340 | today | [link](https://github.com/cosmtrek/mindwalk) | +| 14 | Mechanistic interpretability researchers applying causality theory to LLMs | hackernews | 0.338 | today | [link](https://cacm.acm.org/news/can-we-understand-how-large-language-models-reason/) | +| 15 | AI 2040 and the cult of intelligence | hackernews | 0.297 | today | [link](https://geohot.github.io//blog/jekyll/update/2026/07/11/ai-2040.html) | +| 16 | The One-Step Trap (In AI Research) | hackernews | 0.263 | today | [link](http://incompleteideas.net/IncIdeas/OneStepTrap.html) | +| 17 | Wealthy AI workers send San Francisco house prices soaring | hackernews | 0.258 | today | [link](https://www.bbc.com/news/articles/c9q29j47v9ro) | +| 18 | Reverse centaurs are the answer to the AI paradox (2025) | hackernews | 0.250 | today | [link](https://pluralistic.net/2025/09/11/vulgar-thatcherism/#there-is-an-alternative) | +| 19 | Who manages the agents? | hackernews | 0.240 | today | [link](https://www.off-policy.com/dont-go-quietly-into-the-ai-night/) | +| 20 | Show HN: Reame – a CPU inference server that gets faster as it runs | hackernews | 0.195 | today | [link](https://github.com/swellweb/reame) | + +## Editorial fit tags + +2. **Grok uploaded my user directory to xAI's servers** — model-wars, privacy/sec +4. **I love LLMs, I hate hype** — anti-hype +5. **What xAI's Grok build CLI sends to xAI: A wire-level analysis** — model-wars +6. **Show HN: Clawk – Give coding agents a disposable Linux VM, not your la** — agents +7. **Old and new apps, via modern coding agents** — agents +8. **xAI's Grok Build CLI Uploads Git Repositories to a Google Cloud Bucket** — model-wars, privacy/sec, local/infra +9. **Migrating a production AI agent to GPT-5.6: 2.2x faster, 27% cheaper** — agents, model-wars +10. **Mesh LLM: distributed AI computing on iroh** — local/infra +11. **AI boosts research careers but narrow the span of ideas explored: stud** — biz/legal +13. **Show HN: Mindwalk – Replay coding-agent sessions on a 3D map of your c** — agents +14. **Mechanistic interpretability researchers applying causality theory to ** — local/infra +16. **The One-Step Trap (In AI Research)** — biz/legal, anti-hype +18. **Reverse centaurs are the answer to the AI paradox (2025)** — anti-hype +19. **Who manages the agents?** — agents +20. **Show HN: Reame – a CPU inference server that gets faster as it runs** — local/infra diff --git a/clickability.py b/clickability.py index 5dc18df..7edd6d4 100644 --- a/clickability.py +++ b/clickability.py @@ -201,22 +201,22 @@ def _get_half_life(item): # spec, shorter than evergreen). Covers both manual curations and # auto-classified section items, so a section link persists 14 days # instead of sinking in ~18h. Beyond this window the item is routed to - # Archive (generator). - ms = (item.get("manual_section") or "").upper() - if ms in ("HARDWARE", "TIPS"): - return 336.0 - sec = (item.get("computed_section") or "").upper() - if sec in ("HARDWARE", "TIPS"): - return 336.0 - tier = item.get("tier", "normal") - # Tier overrides take precedence - if tier == "breaking": - return CATEGORY_HALF_LIVES["breaking"] - if tier == "update": - return CATEGORY_HALF_LIVES["update"] - # Otherwise use content_type - ct = item.get("content_type", "OTHER") - return CATEGORY_HALF_LIVES.get(ct, CATEGORY_HALF_LIVES["OTHER"]) + def _get_half_life(item): + """Return section/tier-specific half-life in hours, or None to fall back + to decay_index's half_life_h argument (default 18h news half-life).""" + # Spec v1 addendum: Hardware/Tips section items get a 14-day (336h) + # half-life so curated/section items persist far longer in-section. + ms = (item.get("manual_section") or "").upper() + if ms in ("HARDWARE", "TIPS"): + return 336.0 + tier = item.get("tier", "normal") + # Tier overrides take precedence + if tier == "breaking": + return CATEGORY_HALF_LIVES["breaking"] + if tier == "update": + return CATEGORY_HALF_LIVES["update"] + # No special case -> let decay_index use its half_life_h parameter. + return None def decay_index(items, half_life_h=18.0): @@ -235,8 +235,10 @@ def decay_index(items, half_life_h=18.0): age = _age_hours(it) it["age_hours"] = round(age, 1) base = it.get("clickability", 0) or 0 - # Category-specific half-life + # Category-specific half-life, falling back to the passed half_life_h hl = _get_half_life(it) + if hl is None: + hl = half_life_h k = math.log(2) / hl it["clickability_decayed"] = round(base * math.exp(-k * age), 4) it["effective_half_life"] = hl diff --git a/propagate_stack_now.py b/propagate_stack_now.py index 5f69225..189cf11 100644 --- a/propagate_stack_now.py +++ b/propagate_stack_now.py @@ -104,6 +104,15 @@ def main(): and it.get("first_seen") and _parse(it["first_seen"]) and _parse(it["first_seen"]) >= cutoff and (it.get("source") or "").lower() not in EXCLUDE_SOURCES] + # --- RECENCY GUARD (2026-07-13, Tony's correction): NEVER re-post old news. + # Age is the dominant measure: today's items ALWAYS lead (week-open fresh + # news); older items keep only if NEVER posted before (md-stack / seen). + # This kills the Apple-vs-OpenAI / GPT-5.6 re-post problem at the source. --- + from recency_guard import filter_fresh as _rg_filter + _today, _older_new, _dropped = _rg_filter(eligible) + if _dropped: + print(f"[recency_guard] dropped {len(_dropped)} already-posted older items") + eligible = _today + _older_new eligible.sort(key=lambda x: x["clickability_decayed"], reverse=True) top = eligible[:LIMIT] diff --git a/recency_guard.py b/recency_guard.py new file mode 100644 index 0000000..0eaa973 --- /dev/null +++ b/recency_guard.py @@ -0,0 +1,201 @@ +#!/usr/bin/env python3 +""" +recency_guard.py — Athena "how old is this news?" gate (Tony's correction, 2026-07-13). + +THE PROBLEM IT SOLVES: + The old pipeline ranked by virality + editorial fit ONLY. That surfaced the + SAME stories week after week (Apple-vs-OpenAI, GPT-5.6, etc.) because the + curation had NO memory of what was already posted. Tony's rule: + + "when you receive the news stories, morality [editorial fit] is only ONE + measure. The OTHER measure -- maybe MORE important -- is how OLD is the + news. Today is Monday; the week's news is just beginning, so we begin the + week with stories dated for TODAY." + +So AGE is the dominant gate. The algorithm (editorial, not render-time): + + * TODAY's items -> ALWAYS eligible. They are this week's fresh news; a + Monday stack leads with them even if rendered earlier today. + * OLDER items -> eligible ONLY if NEVER posted before (not in the + markdown Top-N stack history AND not in seen_urls.json). + This kills the re-post problem at the source. + +WHAT IS "ALREADY POSTED": + Two signals, differing in authority: + - athena_top*.md = the CURATED/PUBLIC stack history (authoritative) + - seen_urls.json = the live-site render dedup (secondary; ALSO flags items + rendered in prior runs TODAY, which we must NOT drop) + Because seen_urls.json contains today's own items, we only treat a seen_url + as "already posted" when the candidate is OLDER than today. Today's items are + exempt from the seen_urls gate entirely (fresh by definition). + +EXPORTS: + load_posted() -> (md_urls, md_titles, seen_urls) sets + is_today(first_seen, now) + age_days(first_seen, now) + day_bucket(first_seen, now) + already_posted_fs(url,title,fs,now) -> bool (age-aware dedup) + filter_fresh(items, now) -> (today_items, older_new_items, dropped_items) + recency_weight(first_seen, now) -> float (1.0 today -> ~0 over 7d) + blend_score(item, now) -> clickability_decayed * recency_weight +Read-only against markdown + json + passed-in items. No DB writes. +""" +import os, re, json +from datetime import datetime, timezone + +ORACLE = os.path.dirname(os.path.abspath(__file__)) +SEEN_JSON = "/home/vpsadmin/ai-oracle-site/seen_urls.json" + + +def _parse(ts): + if not ts: + return None + try: + return datetime.fromisoformat(ts.replace("Z", "+00:00")) + except Exception: + return None + + +def _norm_url(u): + if not u: + return "" + return u.split("?")[0].split("#")[0].rstrip("/").lower() + + +def _norm_title(t): + if not t: + return "" + t = t.lower() + t = re.sub(r"[^a-z0-9 ]", " ", t) + t = re.sub(r"\s+", " ", t).strip() + return t[:60] + + +def load_posted(md_dir=ORACLE, seen_json=SEEN_JSON): + """Return (md_urls:set, md_titles:set, seen_urls:set).""" + md_urls, md_titles, seen_urls = set(), set(), set() + + for fn in sorted(os.listdir(md_dir)): + if re.match(r"athena_top.*\.md$", fn): + try: + txt = open(os.path.join(md_dir, fn), encoding="utf-8", errors="replace").read() + except OSError: + continue + for m in re.findall(r"\]\((https?://[^)\s]+)\)", txt): + nu = _norm_url(m) + if nu: + md_urls.add(nu) + for t in re.findall(r"^\|\s*\d+\s*\|\s*(.+?)\s*\|", txt, re.M): + nt = _norm_title(t) + if nt: + md_titles.add(nt) + + if os.path.exists(seen_json): + try: + with open(seen_json, encoding="utf-8") as f: + for u in json.load(f): + nu = _norm_url(u) + if nu: + seen_urls.add(nu) + except (json.JSONDecodeError, OSError): + pass + + return md_urls, md_titles, seen_urls + + +def is_today(first_seen, now=None): + now = now or datetime.now(timezone.utc) + d = _parse(first_seen) + return bool(d) and d.strftime("%Y-%m-%d") == now.strftime("%Y-%m-%d") + + +def age_days(first_seen, now=None): + now = now or datetime.now(timezone.utc) + d = _parse(first_seen) + if not d: + return 9999.0 + return max((now - d).total_seconds() / 86400.0, 0.0) + + +def day_bucket(first_seen, now=None): + """'today' | 'yesterday' | 'this-week' (<=6d) | 'older'.""" + days = age_days(first_seen, now) + if days < 1: + return "today" + if days < 2: + return "yesterday" + if days <= 6: + return "this-week" + return "older" + + +def already_posted_fs(url, title, first_seen, now=None, + md_urls=None, md_titles=None, seen_urls=None): + """Age-aware dedup. A candidate is 'already posted' iff: + (a) it matches the curated md-stack history, OR + (b) it is OLDER than today AND its URL is in seen_urls.json. + Today's items are NEVER flagged -- they are fresh by definition. + """ + if md_urls is None or md_titles is None or seen_urls is None: + md_urls, md_titles, seen_urls = load_posted() + if _norm_url(url) in md_urls: + return True + nt = _norm_title(title) + if nt and nt in md_titles: + return True + if is_today(first_seen, now): + return False + if _norm_url(url) in seen_urls: + return True + return False + + +def recency_weight(first_seen, now=None, half_life_days=2.0): + """1.0 for today, decays ~halving every 2 days. The 'age' measure.""" + return 0.5 ** (age_days(first_seen, now) / half_life_days) + + +def blend_score(item, now=None): + """clickability_decayed * recency_weight. Today's items dominate; old sink.""" + base = item.get("clickability_decayed", 0) or 0 + return base * recency_weight(item.get("first_seen"), now) + + +def filter_fresh(items, now=None): + """Split into (today_items, older_new_items, dropped_items). + + today_items = first_seen == today (always eligible; the week-open lead) + older_new_items= older, but never before posted (md/seen) + dropped_items = older AND already posted (the re-posts we are killing) + """ + now = now or datetime.now(timezone.utc) + md_urls, md_titles, seen_urls = load_posted() + today_items, older_new, dropped = [], [], [] + for it in items: + fs = it.get("first_seen") + if is_today(fs, now): + today_items.append(it) + continue + if already_posted_fs(it.get("url"), it.get("title"), fs, now, + md_urls, md_titles, seen_urls): + dropped.append(it) + else: + older_new.append(it) + return today_items, older_new, dropped + + +if __name__ == "__main__": + import sys + sys.path.insert(0, ORACLE) + import clickability as cb + DB = os.path.join(ORACLE, "oracle.db") + conn = sqlite3.connect(f"file:{DB}?mode=ro", uri=True) + items = cb.fetch_items(conn); conn.close() + items = cb.compute_index(items); items = cb.decay_index(items) + today_items, older_new, dropped = filter_fresh(items) + print(f"TODAY-new (week-open lead): {len(today_items)}") + print(f"OLDER-but-never-posted: {len(older_new)}") + print(f"DROPPED (already posted): {len(dropped)}") + print("\nSample dropped (the re-posts that caused the problem):") + for it in sorted(dropped, key=lambda x: -x["clickability_decayed"])[:6]: + print(f" - [{it['clickability_decayed']:.3f}] {it['title'][:66]}") diff --git a/site/feed.json b/site/feed.json index d5ea827..8e77cff 100644 --- a/site/feed.json +++ b/site/feed.json @@ -1,2178 +1,1072 @@ [ { - "title": "T3MP3ST: autonomous red teaming platform; multi-agent offensive-security meta-harness", - "url": "https://github.com/elder-plinius/T3MP3ST", - "source": "github", - "clickability_decayed": 0.6921, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "openscience: The open-source AI workbench for scientific research", - "url": "https://github.com/synthetic-sciences/openscience", - "source": "github", - "clickability_decayed": 0.6315, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "gzh-design-skill: \u628a Markdown \u4e00\u952e\u6392\u6210\u53ef\u76f4\u63a5\u7c98\u8fdb\u516c\u4f17\u53f7\u7f16\u8f91\u5668\u7684\u7cbe\u81f4 HTML \u2014\u2014 6 \u5957\u7cbe\u9009\u4e3b\u9898 + \u4e3b\u9898\u751f\u6210\u5668 + \u53cc\u5173\u5361\u6821\u9a8c\u3002An AI-agent skill that turns Markdown ", - "url": "https://github.com/isjiamu/gzh-design-skill", - "source": "github", - "clickability_decayed": 0.6019, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "local-llm: Everything I know about running LLMs locally", - "url": "https://github.com/jamesob/local-llm", - "source": "github", - "clickability_decayed": 0.5841, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "claude-real-video: Let Claude (or any LLM) actually watch a video \u2014 scene-aware, deduplicated frames + transcript, from", - "url": "https://github.com/HUANGCHIHHUNGLeo/claude-real-video", - "source": "github", - "clickability_decayed": 0.5749, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "open-connector: Open-source auth gateway connecting 1000+ SaaS providers to AI agents through SDK, CLI, MCP, HTTP, a", - "url": "https://github.com/oomol-lab/open-connector", - "source": "github", - "clickability_decayed": 0.5716, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "tickflow-stock-panel: \u81ea\u6258\u7ba1\u3001\u96f6\u8fd0\u7ef4\u7684 A \u80a1\u300c\u9009\u80a1 + \u76d1\u63a7 + \u56de\u6d4b\u300d\u91cf\u5316\u5de5\u4f5c\u53f0 | \u57fa\u4e8e TickFlow \u6570\u636e\u6e90 | LLM\u80fd\u529b\u9a71\u4f7f\u7b56\u7565\u5b9a\u5236+\u4e2a\u80a1\u5206\u6790+\u590d\u76d8 | \u81ea\u7531\u63a5\u5165\u7b2c\u4e09\u65b9\u6570\u636e\u6e90\u4e0e\u4e2a\u6027\u5316\u6269\u5c55\u6570\u636e | \u4e2a\u4eba\u5f00\u6e90", - "url": "https://github.com/shy3130/tickflow-stock-panel", - "source": "github", - "clickability_decayed": 0.5661, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "Apple sues OpenAI, accuses ex-employees of stealing trade secrets", - "url": "https://9to5mac.com/2026/07/10/apple-sues-openai-trade-secret-theft/", + "title": "Zig Creator Calls Spade a Spade, Anthropic Blows Smoke", + "url": "https://raymyers.org/post/zed-creator-calls-spade-a-spade/", "source": "hackernews", - "clickability_decayed": 0.5506, - "age_hours": 0.2, - "first_seen": "2026-07-12T13:01:21Z" + "tier": "normal", + "curated": null, + "clickability_decayed": 0.567, + "age_hours": 1.2, + "first_seen": "2026-07-13T20:14:22Z" }, { - "title": "Talos: GPU worker client for the Talos network. Pairs with your Talos account, serves open-model inference ", - "url": "https://github.com/jmerelnyc/Talos", - "source": "github", - "clickability_decayed": 0.5477, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "Vibe-Research: Vibe-Research: Your Personal Trading Research Agent \u00b7 A\u80a1/\u7f8e\u80a1/\u6e2f\u80a1 \u7684\u4e2a\u4eba\u6295\u7814 Agent\uff1a\u6bcf\u65e5\u590d\u76d8\u3001\u8d44\u8baf\u96f7\u8fbe\u3001\u4e2a\u80a1\u6570\u636e\u3001\u677f\u5757\u4e2d\u5fc3\u3001\u6211\u7684\u6301\u4ed3\u3001", - "url": "https://github.com/simonlin1212/Vibe-Research", - "source": "github", - "clickability_decayed": 0.5336, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "agent-apprenticeship: The living ecosystem where AI agents complete tasks through workflow loops, improve through iterativ", - "url": "https://github.com/Forsy-AI/agent-apprenticeship", - "source": "github", - "clickability_decayed": 0.5286, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "hermex: Native iPhone app for your Hermes agent", - "url": "https://github.com/uzairansaruzi/hermex", - "source": "github", - "clickability_decayed": 0.5143, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "self-learning-skills: A self-improving skill for AI coding agents (Claude Code, Cursor, AGENTS.md): recognize a hard-won g", - "url": "https://github.com/Kulaxyz/self-learning-skills", - "source": "github", - "clickability_decayed": 0.5132, - "age_hours": 0.3, - "first_seen": "2026-07-12T13:00:40Z" - }, - { - "title": "Windows-Copilot-API: Reverse engineered Windows Copilot into an OpenAI-compatible API. 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"age_hours": 0.2, - "first_seen": "2026-07-12T13:01:38Z" + "age_hours": 17088.2, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "gemma-4-12B-coder-fable5-composer2.5-v1-GGUF (text-generation) by\u2026", + "url": "https://huggingface.co/yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 806.0, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "Meta-Llama-3-8B (text-generation) by meta-llama", + "url": "https://huggingface.co/meta-llama/Meta-Llama-3-8B", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 19619.8, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "Llama-2-7b-chat-hf (text-generation) by meta-llama", + "url": "https://huggingface.co/meta-llama/Llama-2-7b-chat-hf", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 26308.7, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "Meta-Llama-3-8B-Instruct (text-generation) by meta-llama", + "url": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 19619.8, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "bloom (text-generation) by bigscience", + "url": "https://huggingface.co/bigscience/bloom", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 36393.5, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "gpt-oss-120b (text-generation) by openai", + "url": "https://huggingface.co/openai/gpt-oss-120b", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 8230.9, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "gpt-oss-20b (text-generation) by openai", + "url": "https://huggingface.co/openai/gpt-oss-20b", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 8230.9, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "phi-2 (text-generation) by microsoft", + "url": "https://huggingface.co/microsoft/phi-2", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 22632.1, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "stable-diffusion-xl-base-1.0 (text-to-image) by stabilityai", + "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 26024.0, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "Mistral-7B-Instruct-v0.2 (text-generation) by mistralai", + "url": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 22688.1, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "Mistral-7B-v0.1 (text-generation) by mistralai", + "url": "https://huggingface.co/mistralai/Mistral-7B-v0.1", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 24656.3, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "DeepSeek-V3 (text-generation) by deepseek-ai", + "url": "https://huggingface.co/deepseek-ai/DeepSeek-V3", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 13568.5, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "stable-diffusion-v1-4 (text-to-image) by CompVis", + "url": "https://huggingface.co/CompVis/stable-diffusion-v1-4", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 34160.0, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "Llama-3.3-70B-Instruct (text-generation) by meta-llama", + "url": "https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 14261.3, + "first_seen": "2026-07-13T20:14:37Z" + }, + { + "title": "gemma-7b (text-generation) by google", + "url": "https://huggingface.co/google/gemma-7b", + "source": "huggingface", + "tier": "normal", + "curated": null, + "clickability_decayed": 0.0, + "age_hours": 21262.8, + "first_seen": "2026-07-13T20:14:37Z" } ] \ No newline at end of file diff --git a/site/index.html b/site/index.html index 68561b5..aa423e5 100644 --- a/site/index.html +++ b/site/index.html @@ -1,160 +1,1014 @@ - + - - -AI NEWS DAILY - - - - + + +Athena AI News — Ranked by Clickability -

AI NEWS DAILY

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Hardware

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Hands-On with the AMD Ryzen AI Halo
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Ultra budget 20GB vram with 448GB/s for $100 bucks.
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Benchmark - 4x 5060 Ti (64GB VRAM) (P2P) - Qwen3.6 27B (INT8 /w bf16 kv…
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**Your $80 Tesla P100 has been doing silently noisy math in llama.cpp…
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Breaking | Apple sues OpenAI, accuses ex-employees of stealing trade secrets
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Breaking | GPT-5.6 Sol Ultra produces proof of the Cycle Double Cover Conjecture
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Old and new apps, via modern coding agents by Terry Tao
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Mesh LLM: distributed AI computing on iroh
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Ghost Font: A font that humans can read but AI cannot
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Stop Telling Me to Ask an LLM
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How the terrorist group Boko Haram uses frontier AI
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AI Boosts Research Careers but Flattens Scientific Discovery
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GPT-5.6, Grok 4.5, Claude, and Muse Spark build the same 4 apps
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Reverse centaurs are the answer to the AI paradox (2025)
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Who manages the agents?
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Apple sues OpenAI, accusing it of stealing company secrets
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Wealthy AI workers send San Francisco house prices soaring
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AI Can't Recreate the Thrust Game (But It Can Help You Understand It)
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Microsoft latest report shows 25% emissions raised due to AI data…
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Meta pulls new AI image feature after days of backlash
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Companies are scrambling to curtail soaring AI costs
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Ask HN: How do you use Vim in the era of AI?
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GPT-5.6
OpenAI released GPT-5.6, their latest model iteration with significant capability improvements across reasoning, coding, and multimodal tasks.
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AI 2040: Plan A
AI Futures Project publishes 'Plan A' — a scenario for delaying superintelligence until 2040 through international cooperation, total research transparency, and mutually assured compute destruction.
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AI-generated videos to maximally drive a target brain region
EPFL researchers developed AI-generated videos designed to maximally activate a target brain region, using fMRI data to optimize visual stimuli.
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ChatGPT Work
OpenAI launched ChatGPT Work, an enterprise version of ChatGPT designed for professional workflows and organizational use.
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AI content is everywhere on social media, especially LinkedIn
Pangram study finds AI-generated content is pervasive across social media, with LinkedIn as the worst offender.
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Building a real-time AI tutor for 5-year-olds
Ello blog post details building a real-time AI tutor optimized for 5-year-old learners with 1000ms latency.
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Ben Bernanke Joins Anthropic Oversight Trust
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SimPolitics: America’s quest to solve politics with computers
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Show HN: Reverse-engineering web apps into agent tools
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How version control will evolve for the agent boom
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Show HN: Reviving my 2001 college band with AI
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The next era of AI is about infrastructure, not just models
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I think I have LLM burnout
Developer reports chronic 'LLM burnout' from hours of daily interaction with AI assistants, describing a shift from writing code to designing, prompting, and reviewing AI-generated code.
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SWE-1.7 Reach Near GPT 5.5 and Opus Intelligence
Cognition launched SWE-1.7, reaching frontier-level intelligence (near GPT-5.5 and Opus) at much lower cost, trained from a Kimi K2.7 base with extensive RL post-training.
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Suspecting AI cheating, Ivy League prof ordered in-person final; scores…
Brown University professor suspected AI cheating on take-home exams; in-person final scores dropped 50%.
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We made Grok 4.5, GPT-5.5, and Claude build the same apps
Side-by-side comparison of Grok 4.5, GPT-5.5, and Claude building identical applications.
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What's slowing down the AI buildout
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Benchmarking coding agents on Databricks' multi-million line codebase
Databricks benchmarks AI coding agents against their own multi-million-line production codebase.
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AI changes the economics of software rewrites
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Ask HN: Another "Hacker News" with less AI and more human-focused…
Hacker News discussion seeking alternative tech news platforms with less AI content and more human hacking.
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I didn't give up - extGemma4-40_5B returned
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Zer0Fit: I took Google's new TabFM & TimesFM ML foundation models and…
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I benched quad 5060Tis for code generation with Qwen3.6-27B so you…
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Performance comparison on full compute performance (Anima) and LLM…
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OpenCoF: Learning to Reason Through Video Generation
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Voodoo Quant beats Unsloth Dynamic 2.0 KLD by 95% in Qwen3.5 0.8B and 2B
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If you use Open Code or other agenting programs you are leaving a lot…
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I mapped Anthropic’s J-Space Hallucination signal across 7 datasets on…
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Need help tuning cache in llama-server
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First attempts at a CPU setup - MS-02 Intel 285hx, trying Qwen3…
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LinkedIn is the undisputed king of long-form AI slop, according to a…
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Claude Code now has a built-in browser that lets the AI read, click…
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ARDY: Autoregressive Diffusion with Hybrid Representation for…
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S&P Global sees OpenAI as a "key credit risk" for Oracle and cuts its…
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Meta kills Muse Image feature that let anyone generate AI photos of…
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OpenAI CEO Altman is now "pretty sure" AI is net job-creating, which is…
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Interactive Jacobian-Lens visualizer and live steerer for GGUF models…
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i would like to share my experience. working with huge LLMs and poor…
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Working around Qwen3.6-27B's tool-call failures and looping
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Kreuzberg (local document extraction) is being renamed to Xberg…
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Qwenthropic
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Claude Cowork's biggest use case is the mundane office work nobody…
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AI agents win at Slay the Spire 2 after researchers replace growing…
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Grades dropped from 96 to 48 percent when a Brown professor made…
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GitLost: We Tricked GitHub's AI Agent into Leaking Private Repos
Noma Labs discovered a prompt injection vulnerability in GitHub's Agentic Workflows that lets attackers silently extract data from private repos via crafted public issues.
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OpenAI's GPT-5.6 Sol Ultra reportedly solves a 50-year-old math problem…
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OpenAI bets on families as ChatGPT goes deeper into households
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UniClawBench: A Universal Benchmark for Proactive Agents on Real-World…
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Terrorist groups are using every major AI chatbot for attack planning…
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We charge $10k a week to delete AI-generated code
Slopfix charges $10,000/week to refactor AI-generated codebases that have become unmaintainable — analyzing for free, then cutting code bloat with a committed reduction target.
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GPT-5.6 Sol, along with Terra and Luna, will launch publicly this…
OpenAI announces public launch of GPT-5.6 Sol alongside Terra and Luna, possibly satirical naming.
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SLORR: Simple and Efficient In-Training Low-Rank Regularization
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Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents
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Automating AI Away
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Re: I'm Begging You to Leave Your AI Note-Taker at Home
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AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric…
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AI Meets Cryptography 1: What AI Found in Cloudflare's Circl
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Latent Memory Palace: Reasoning for Control as Autoregressive…
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Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows
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The Illusion of Equivalency: Statistical Characterization of…
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LTM: Large-scale Terrain Model for Wildfire-prone Landscapes
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YC CEO says he ships 37K LoC AI code per day. A developer looked under…
Developer investigates YC CEO's claim of shipping 37K lines of AI-generated code daily and looks under the hood.
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Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and…
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Super Weights in LLMs and the Failure of Selective Training
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Beijing is looking at curbing overseas access to China's top AI models
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Validity of LLMs as data annotators: AMALIA on authority
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Pose-to-Biomechanics: Bridging 3D Human Pose Estimation and…
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An agent in 100 lines of Lisp
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Deep Learning for Joint Narrowband Interference Cancellation and Soft…
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GLM-5.2 (text-generation) by zai-org
GLM-5.2 by zai-org is a multilingual text-generation model with MoE-DSA architecture supporting English, Chinese, and Arabic.
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DeepSeek-V4-Pro (text-generation) by deepseek-ai
DeepSeek-V4-Pro by deepseek-ai is a conversational text-generation model with 8-bit/FP8 quantization support.
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DeepSeek-R1 (text-generation) by deepseek-ai
DeepSeek-R1 is a reasoning-focused text-generation model using the deepseek_v3 architecture with FP8 support.
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Llama-3.1-8B-Instruct (text-generation) by meta-llama
Llama-3.1-8B-Instruct by Meta is an 8B-parameter instruction-tuned model supporting 8 languages.
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FLUX.1-dev (text-to-image) by black-forest-labs
FLUX.1-dev by Black Forest Labs is a text-to-image generation model compatible with the diffusers library.
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gemma-4-12B-coder-fable5-composer2.5-v1-GGUF (text-generation) by…
Gemma-4-12B-coder-fable5-composer2.5-v1-GGUF is a GGUF-quantized coding model fine-tuned from Google's Gemma-4-12B.
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Meta-Llama-3-8B (text-generation) by meta-llama
Meta-Llama-3-8B is Meta's original 8B-parameter base language model from the Llama-3 family.
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Llama-2-7b-chat-hf (text-generation) by meta-llama
Llama-2-7b-chat-hf is Meta's 7B-parameter chat-tuned model from the Llama-2 generation.
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Meta-Llama-3-8B-Instruct (text-generation) by meta-llama
Meta-Llama-3-8B-Instruct is Meta's instruction-tuned 8B model from the Llama-3 family with Azure deployment support.
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bloom (text-generation) by bigscience
BLOOM by BigScience is a 176B-parameter multilingual model supporting 46 languages across 13 families.
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gpt-oss-120b (text-generation) by openai
gpt-oss-120b by OpenAI is a 120B-parameter open-source text-generation model with MXFP4 quantization.
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gpt-oss-20b (text-generation) by openai
gpt-oss-20b by OpenAI is a 20B-parameter open-source text-generation model with MXFP4 quantization support.
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phi-2 (text-generation) by microsoft
Phi-2 by Microsoft is a compact 2.7B-parameter model trained on synthetic 'textbook-quality' data.
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stable-diffusion-xl-base-1.0 (text-to-image) by stabilityai
Stable Diffusion XL 1.0 by Stability AI is a high-resolution text-to-image model with 140K+ downloads.
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Mistral-7B-Instruct-v0.2 (text-generation) by mistralai
Mistral-7B-Instruct-v0.2 by Mistral AI is a 7B-parameter instruction-tuned model with Apache-2.0 licensing.
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Mistral-7B-v0.1 (text-generation) by mistralai
Mistral-7B-v0.1 by Mistral AI is the original 7B-parameter pretrained base model from Mistral.
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DeepSeek-V3 (text-generation) by deepseek-ai
DeepSeek-V3 is a conversational text-generation model using the deepseek_v3 architecture with FP8 support.
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stable-diffusion-v1-4 (text-to-image) by CompVis
Stable Diffusion v1.4 by CompVis is the original 410M-parameter text-to-image diffusion model.
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Llama-3.3-70B-Instruct (text-generation) by meta-llama
Llama-3.3-70B-Instruct by Meta is a 70B-parameter instruction-tuned model supporting 8 languages.
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gemma-7b (text-generation) by google
Gemma-7B by Google is a 7B-parameter open-weight model with extensive research paper references.
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Research Papers (5 entries)

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MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning…
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Score Accuracy Along the Forward Diffusion Does Not Certify Numerical…
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MulTTiPop: A Multitrack Transcription Dataset for Pop Music
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Using AI-based Learning Assistants in Higher Education: A Large-Scale…
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Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's…
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Athena AI News

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Auto-ranked by Clickability Index · 107 stories (4-day window, GitHub excluded) · curated: quirky + agents roasting their humans · generated 2026-07-13 21:24 UTC
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💰🌀 Curated Picks — Built & Earned · Quirky · Agents Roasting Their Humans

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🔴 Top News

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hackernews + 20:14 + sig 5.4 + + 🔥 0.44
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I love LLMs, I hate hype

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Geohot argues LLMs have real utility but the surrounding hype cycle obscures practical value.

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hackernews + 20:14 + sig 5.3 + + 🔥 0.41
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Old and new apps, via modern coding agents

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Terry Tao examines how modern coding agents are transforming both legacy app maintenance and greenfield development.

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📰 The Stack

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📅 2026-07-13

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hackernews + 20:14 + sig 5.0 + + 🔥 0.35
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Stop Telling Me to Ask an LLM

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Blog post critiquing the reflexive suggestion to use LLMs for every problem that arises.

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hackernews + 16:14 + sig 5.0 + + 🔥 0.31
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AI 2040 and the cult of intelligence

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geohot critiques the 'cult of intelligence' framing around AI and projects scenarios for AI in 2040.

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hackernews + 16:14 + sig 4.2 + + 🔥 0.24
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Who manages the agents?

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Off-policy analysis of AI agent governance: who actually manages and supervises autonomous agents at scale.

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hackernews + 20:14 + sig 3.2 + + 🔥 0.24
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The One-Step Trap (In AI Research)

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Richard Sutton warns AI research is trapped optimizing single-step improvements instead of pursuing transformative leaps.

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reddit + 16:13 + sig 4.0 + + 🔥 0.02
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MCP…. Is bad?

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MCP…. Is bad?

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