Article URL: https://www.reuters.com/business/us-lift-export-controls-anthropics-fable-ai-model-tuesday-source-says-2026-06-30/ Comments URL: https://news.ycombinator.com/item?id=48741226 Points: 2 # Comments: 1
Article URL: https://lucasaguiar.xyz/pt/posts/claude-science-ai-workbench-cientistas-2026/ Comments URL: https://news.ycombinator.com/item?id=48741218 Points: 2 # Comments: 0
Would you pay $20 a month for access to AI hardware you already own? That appears to be one of Meta's next bets. This week, it quietly announced that your glasses' Conversation Focus feature will soon be limited to three hours of use per month, unless you pay for a $19.99 Meta One Premium subscription. […]
submitted by <a href="https://www.reddit.com/user/julian88888888"> /u/julian88888888 </a> <br/> <span><a href="https://arxiv.org/pdf/2604.01527">[link]</a></span> <span><a href="https://www.reddit.com/r/MachineLearning/comments/1uk713d/reap_automatic_curation_of_coding_agent/">[comments]</a></span>
Article URL: https://cacm.acm.org/practice/guardians-of-the-agents/ Comments URL: https://news.ycombinator.com/item?id=48741157 Points: 1 # Comments: 0
<pre style='white-space:pre-wrap;width:81ex'>fix(cron): clear agentTurn thinking override by blanking the field (#96293) * fix(cron): clear agentTurn thinking override when patched with null Cron agentTurn patches could clear model/fallbacks/toolsAllow overrides by sending an explicit null, but thinking had no clear path: the patch schema and normalizer dropped thinking:null before it reached the merge logic, and the payload merge only handled string values. Blanking the Thinking/Effort field in
<pre style='white-space:pre-wrap;width:81ex'>fix(anthropic-oauth): bound OAuth token endpoint response reads (#96644) postJson reads the Anthropic OAuth token endpoint response body with an unbounded await response.text(). A compromised or hijacked OAuth endpoint can stream an arbitrarily large body and force the runtime to buffer the entire payload before parsing — an OOM/DoS vector. Replace with readResponseWithLimit at 16 MiB cap + TextDecoder decode to match the sibling bounded-read pattern
<pre style='white-space:pre-wrap;width:81ex'>fix(ios): advance onboarding step after QR scan (#98302) handleScannedLink does not set self.step = .connect after scanning a QR code from the welcome step. The scanner sheet dismisses and the UI returns to the welcome screen instead of showing connection progress. The sibling handleScannedSetupCode path correctly advances the step; this aligns the QR scan path. Fixes #98297 Co-authored-by: Cursor <cursoragent@cursor.com></pre>
<p>You've got a rough draft. Bullet points, half-finished paragraphs, maybe some notes you pasted from a meeting. It needs to become a real document — but rewriting takes time you don't have.</p> <p>That's exactly where AI Assist comes in.</p> <h2> What AI Assist Does </h2> <p>AI Assist lives inside PaperQuire's editor. Select any text, right-click, and choose an action:</p> <ul> <li> <strong>Rewrite</strong> — Rephrase your selection for clarity and tone, keeping the meaning intact</li> <li> <s
<pre style='white-space:pre-wrap;width:81ex'>fix(memory-wiki): gracefully handle unparsable YAML frontmatter in vault scans (#96125) (#97177) * [AI] fix(memory-wiki): gracefully handle unparsable YAML frontmatter in vault scans (#96125) toWikiPageSummary now catches YAML parse errors during vault-wide scans (compile/lint/query/status) and returns a degraded WikiPageSummary with frontmatterError set instead of letting the error propagate through readPageSummaries -> compileMemoryWikiVault, which
<pre style='white-space:pre-wrap;width:81ex'>fix(doctor): merge colliding model-ref map keys instead of dropping (#96544) * fix(doctor): merge colliding model-ref map keys instead of dropping When two retired model-ref keys in a models map upgrade to the same current ref, rewriteModelRefMapKeys dropped the second entry silently and still logged a success line, so doctor --fix lost one entry's params/streaming/alias/agentRuntime tuning while falsely reporting it as upgraded. Mirror the sibling pr
After weeks of negotiating with the Trump administration, Anthropic is finally going to be able to bring Claude Fable 5 back online. In a post on X, Anthropic said it plans to begin restoring access tomorrow. Anthropic: We've received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos […]
<p><em>Originally published on <a href="https://hexisteme.github.io/notes/harness-invariants-stop-cross-component-leaks.html" rel="noopener noreferrer">hexisteme notes</a>.</em></p> <p>Make every skill, hook, and scheduled job declare four invariants before it ships — Locality (where it can run), Source-of-truth (which facts it owns or borrows), Cross-ref (what depends on it and what it depends on), and Trigger-measurability (whether its trigger is observable at runtime or hidden in external sta
<p>A narrativa atual da tecnologia está fortemente inclinada para a automação. Com agentes de IA escrevendo <em>boilerplate</em>, gerando componentes e até estruturando projetos inteiros, é fácil olhar para o futuro do desenvolvimento de software e assumir que o elemento humano está diminuindo.</p> <p>Mas se você mantém ou contribui ativamente para um projeto <em>open source</em>, sabe que a realidade é bem diferente. A IA pode escrever código, mas não consegue validá-lo contextualmente contra d
The Vercel Security Dashboard is now in private beta. It aggregates the security posture of every account and project on Vercel. As teams grow and coding agents make it easy to spin up new projects, small misconfigurations can add up quietly and quickly. Team members without 2FA, publicly accessible preview environments, or long-lived credentials where short-lived ones would do. Each of these can lead to a security incident or breach. The security dashboard flags these findings across Vercel env
konsistent is now open source. konsistent is a CLI linter for TypeScript codebases that enforces structural conventions, giving agents and humans the consistent context they need to implement features correctly. Deterministic, fast, and covers structural patterns that TypeScript and ESLint don't model. Configure conventions in a project-level konsistent.json file for concerns like: Do all files matching pattern X export functions Y and Z? Does every folder that has file X also have file Y? Does
You can now preview the framework preset and files that Vercel CLI includes in a deployment before creating one. Run vercel deploy --dry from a linked project: For automation or further inspection, return the complete file manifest as JSON: JSON output includes the detected framework, included and ignored paths, directory size distribution, largest files, file modes, and content hashes. Piped and other non-TTY output automatically uses JSON. Agents can use this manifest as a pre-deployment check
<blockquote cite="https://twitter.com/anthropicai/status/2072106151890809341"><p>We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.</p> <p>We'll begin restoring access tomorrow, and will share an update soon.</p></blockquote> <p class="cite">— <a href="https://twitter.com/anthropicai/status/2072106151890809341">Anthropic</a>, on Twitter</p> <p>Tags: <a href="https://simonwillison.net/tags/anthropic">anthropic</a>, <a href="https://sim
<h2>Pattern Defined</h2> <p><strong>Precise Definition:</strong> Hybrid Retrieval is an inference pattern that combines <br> semantic vector search with traditional keyword-based BM25 (Best Matching 25) <br> search, using a Reciprocal Rank Fusion (RRF) algorithm to produce a single, <br> unified result set.</p> <h2>Problem Being Solved</h2> <p>Vector search is excellent at "vibes" but terrible at "facts." If you ask a <br> vector database for "Part #882-X," it might return a document about "Part
<p>Subtitle: Build a Python app that monitors Telnyx phone numbers, analyzes reputation risk with Telnyx AI Inference, and recommends when to keep, rotate, or retire a number.</p> <p>Outbound workflows depend on number health more than most teams want to admit.</p> <p>A number can look fine in inventory and still perform badly in the real world. Answer rates drop. Complaints increase. Campaign patterns get stale. A number that worked last month might need a cooldown, a review, or a replacement t
The White House is easing restrictions on Anthropic’s most advanced AI models weeks after ordering the company to suspend access for foreign nationals.
Article URL: https://www.google.com/url?q=https://www.cnbc.com/2026/06/30/anthropic-launches-ai-drug-discovery-program-claude-science.html Comments URL: https://news.ycombinator.com/item?id=48740363 Points: 1 # Comments: 0
Hi everyone! I'm building | STMZ Kinetic (https://stmzkinetic.com), an AI-powered social media workspace for planning, creating, scheduling, and managing content from one place. I'd really appreciate honest feedback from founders and builders. I'm especially interested in: Is the value proposition clear within the first few seconds? Does the landing page build enough trust? What's confusing or missing? Would you consider trying this product? If not, why? Please don't hold back—I'd much rather he
<pre style='white-space:pre-wrap;width:81ex'>ci(release): stabilize anthropic live smoke selection (cherry picked from commit e085fa1a3ffd32d0ea6917e1e6fb4ecbffbb77d2)</pre>
Hey everyone, we’re an ex YC team building retail-intelligence.ai where we suggest 5 trades to you every 6 hours. Our product maps out a strategy with you into logic trees, transforming it into custom signals, live dashboards, and automated alerts. We’re excited to bring a new experience to retail markets and am keen to see what strategies you have! You can get your recommended trades here: https://www.retail-intelligence.ai/ Comments URL: https://news.ycombinator.com/item?id=48740289 Points: 4
Article URL: https://github.com/itsmeduncan/commonplace Comments URL: https://news.ycombinator.com/item?id=48740235 Points: 1 # Comments: 0
Article URL: https://github.com/GPire/claude-skills-swarm Comments URL: https://news.ycombinator.com/item?id=48740141 Points: 1 # Comments: 0
Article URL: https://the746th.substack.com/p/before-you-scale Comments URL: https://news.ycombinator.com/item?id=48740136 Points: 1 # Comments: 0
Article URL: https://github.com/Tako-Research/TakoVM Comments URL: https://news.ycombinator.com/item?id=48740117 Points: 2 # Comments: 0
Article URL: https://www.science.org/content/article/better-chatbots-get-harder-build-ai-turns-simulated-worlds Comments URL: https://news.ycombinator.com/item?id=48740115 Points: 1 # Comments: 0
Article URL: https://www.science.org/content/article/new-ai-approaches-connecting-development-environment-disease Comments URL: https://news.ycombinator.com/item?id=48740107 Points: 1 # Comments: 0
Article URL: https://vece.ai/ Comments URL: https://news.ycombinator.com/item?id=48740087 Points: 1 # Comments: 0
Most enterprise AI deployments so far have focused on coding assistants and customer service bots. Morgan Stanley has deployed agents in one of banking's most accuracy-critical, deadline-driven workflows instead — profit and loss (P&L) reconciliation — and cut the work in half. The counterintuitive part: it got there by making the system less autonomous, not more. Humans stay tightly in the loop, and their decisions are iteratively turned into repeatable rules the system can apply on its own. “I
Article URL: https://greyenlightenment.com/2026/06/27/ai-is-not-going-to-make-mathematicians-obsolete/ Comments URL: https://news.ycombinator.com/item?id=48740030 Points: 4 # Comments: 0
Linq launches iMessage Apps: interactive imessage_app cards that run payments, tickets, flights, and games inside the iMessage thread for agents. The post Linq’s iMessage Apps Bring Payments, Tickets, Flights, and Games Into the iMessage Bubble Through the imessage_app Part appeared first on MarkTechPost .
Got important chats older than 30 days? You'd better be sure the transcripts still exist
<p><strong><a href="https://deepmind.google/models/gemini-image/flash-lite/">Nano Banana 2 Lite</a></strong></p> Also known as Gemini 3.1 Flash Lite Image (<code>gemini-3.1-flash-lite-image</code> <a href="https://ai.google.dev/gemini-api/docs/image-generation">in their API</a>), this is the "fastest and cheapest Gemini image model, engineered for velocity and scale".</p> <p>I <a href="https://aistudio.google.com/app/prompts/new_chat?model=gemini-3.1-flash-lite-image">used AI studio</a> to run t
