OpenAI is expanding ChatGPT for Teachers to 55 additional school systems in 20 states, reaching more than 100,000 additional educators and staff; it now says it works with over 100 K–12 organizations across 30 states and more than 300,000 educators and staff. The program remains free for verified U.S. K–12 educators through June 2028 and is restricted to administrators, faculty, and educators rather than students. A new 16-state privacy agreement through the Student Data Privacy Consortium is intended to reduce district-by-district negotiation, while managed workspaces offer role-based controls and do not use shared data to train models by default. OpenAI says early usage centers on administrative time savings—1.9 million messages on such tasks in a January-to-July analysis—and pairs access with training, including a five-year initiative intended to equip 400,000 K–12 educators with AI skills.
OpenAI’s new Strategic Futures team launches Intelligence Age to examine how free societies can preserve individual rights and agency amid transformative AI. Its argument is that advanced autonomous systems could let states project force, run bureaucracy, and obtain revenue with far less dependence on human labor or consent, weakening the social bargain that has historically constrained power. The team rejects both complacency and maximal decentralization: broad access and control matter, but a world where any malicious individual can easily cause mass harm is also an unacceptable balance of power. It plans to study the resulting governance problem through policy, economics, law, history, machine learning, and forecasting, including how AI may reshape firms, government agencies, and civil society.
Claude for Word adds a Claude panel inside Word on the web, Windows, and Mac, where it can read document text, comments, and linked material such as a Box file. The demonstration has Claude consolidate reviewer feedback, identify conflicting asks, fact-check performance claims against a source document, restructure content, and propose all edits as review cards or tracked changes. Sensitive or irreversible actions, including changing editing mode and accepting revisions, require confirmation; a user can inspect the reasoning behind suggestions and accept or amend them selectively. It also supports reusable slash-command skills such as a copy-edit or company brand-guidelines check, and is included with paid Claude plans through Microsoft AppSource.
Google promotes Search features for turning décor inspiration into purchases and DIY work, noting that searches for “home decor inspo” rose 300% in the preceding month. AI Mode can take a room photo and dimensions to suggest and mock up furniture; Lens and Circle to Search can identify a seen item or locate similar products. Search Live offers voice-and-video guidance for installation tasks, while product listings expose cross-store prices, price history, and alerts. The examples are consumer shopping aids rather than a claim that the tools can guarantee fit, quality, or availability.
OpenAI introduced an Admin plugin for ChatGPT Work and Codex. It is intended to let workspace administrators analyze usage, manage members and permissions, adjust limits, and handle other administrative requests. The supplied content does not specify rollout timing, access controls, or exact supported commands.
Ben’s Bites notes that Claude Code Remote Control can now start sessions from a phone, recover dropped laptop-to-phone connections, and load sessions faster on iOS. The roundup also says ChatGPT can connect to Apple Messages from a Mac to search conversations, catch users up, and draft or send replies, while GPT-Image-2 adds transparent-background generation in the API. It pairs those conveniences with a caution about continuous availability: the author wants mobile agent access for spontaneous ideas but does not view working around family time or every moment away from a laptop as a virtue. Other listed updates include GPT-5.6-Sol pricing at $4/$24 per million input/output tokens and Deepgram’s Flux TTS claiming response latency as low as 80ms.
OpenAI has made its GPT-5.6 family—Sol, Terra, and Luna—available in AWS’s Kiro software-development agent. Kiro converts high-level intent into requirements, technical designs, and executable tasks, giving the models structured context about a team’s codebase and standards for longer-running work. OpenAI and AWS say GPT-5.6 Terra completed Terminal-Bench 2.1 tasks in Kiro at roughly 82% lower cost, attributing the result to spec-driven grounding and fewer failed iterations. The companies say they will continue optimizing the models and Kiro environment.
A developer argues that AI-written code comments can inject confident but invented operational claims, such as asserting that a cache condition is “the usual case” or that an optimization is essential. They built a comment-provenance classifier that flags their examples as likely robot-written, but estimate its practical accuracy at only about 80%, making it supporting evidence rather than an authority. The model finds stylistic signals including heavier punctuation and symbol use, more prepositions and directions, fewer TODOs and code snippets, and a stronger tendency to end comments with periods. Its training data appears dominated by Anthropic-generated prose, so the findings should not be generalized as universal markers of all AI writing.
Stampli says it used Codex and ChatGPT Work to reduce a Deep Finance go-to-market workflow from an estimated 243 active role-hours to 77, a savings of 166 hours and roughly 3.16× faster production. The team connected product context, meeting notes, decisions, and messaging guidelines, then used the system to make review-ready launch assets including a blog series, emails, webinar materials, creative, PR, web content, and sales enablement. It retained human review and final approval for customer-facing material, while Codex handled about 90% of the polished hero-animation work before contractor finishing. Stampli also says its GPT-powered knowledge system has multiplied a small product-marketing team’s output to hundreds of weekly content pieces and made cross-system questions answerable during meetings.
Promptwatch’s automated observations suggest that the share of ChatGPT Search fanout queries containing a site: operator jumped from roughly 0.3–0.5% to 16–17% on August 8, shortly after the GPT-5.6 rollout. The figures cover only prompts tracked by Promptwatch, so they are directional evidence rather than a full measurement of ChatGPT behavior. Simon Willison infers that the underlying search interface may support a domains-style control even though OpenAI has not exposed a transparent system prompt. Promptwatch separately observed an apparent sharp reduction in Reddit sourcing, but Willison could not confirm a prompt-level instruction behind it.
Replit is launching Free Mode powered by GPT-5.6 Luna, positioning it as a no-usage-cost environment for project-aware answers, planning, feedback, and exploration. When a job needs stronger reasoning, Replit can route it to GPT-5.6 Sol and then return to Luna without losing project context. OpenAI and Replit frame the product as a consequence of improved model price-performance rather than merely a new interface. The intended outcome is to lower the remaining cost barrier to letting nontechnical users move from an idea to working software.
Google is adding generative interactive visuals and simulations to AI Mode and AI Overviews, beginning with English availability globally. Search can also create free, interactive practice quizzes with explanations for subjects and standardized tests including the ACT, AP, GRE, LSAT, MCAT, and SAT, using content partnerships with test-prep providers. A coming Lens experience will let students photograph work, receive explanations and error guidance, and continue the discussion in AI Mode. Google is also bringing Gemini Notebook into AI Mode in more than 180 countries and enabling document, slide, spreadsheet, and text-file generation from uploaded materials or AI Mode threads.
OpenAI will expand ChatGPT Ads to 31 European markets next week, including Germany, France, Spain, Italy, Sweden, Norway, Denmark, the Netherlands, and Austria. Ads will initially be sold through OpenAI’s Ads Solutions team and agency or technology partners; a self-service Ads Manager is planned for later in the summer. They will appear only on Free and Go plans, while Plus, Pro, and Enterprise remain ad-free. OpenAI says ads will be clearly labeled and separate from answers, conversations will not be sold to advertisers, and users can control personalization.
NVIDIA says its teams use ChatGPT Work to reduce manual work, connect fast-moving signals, and scale workflows that prove successful across the company. The short case study positions the product as an internal coordination and knowledge-work layer rather than a single isolated assistant. It offers no quantitative deployment results or implementation detail in the extracted material.
This browser-based Sokoban solver uses a JavaScript port of the author’s native C++ A implementation and promises provably minimum-move solutions rather than merely valid ones. It solves boards 1–14 live in milliseconds, avoiding the state explosion of naïvely searching every keeper movement. The exceptional 8-box board requires roughly 49 million states and more than 1 GB for optimal search, so its 184-move solution was computed offline by a parallel C++ version in about five seconds on 24 cores and then replay-verified. It is a concise illustration of where browser-side optimal search is practical and where precomputation is the sensible interface choice.
OpenAI introduces ChatGPT for Teens as a learning-oriented product with stronger built-in protections, healthy-use features, and additional parental controls. The supplied announcement presents the service as intended to support thinking critically and using AI with confidence, not simply as unrestricted access to a general chatbot. It does not specify in the available text which safeguards, age thresholds, parental settings, or enforcement mechanisms distinguish the teen offering. Parents and schools should therefore treat the announcement as a product-positioning signal and seek the detailed controls before relying on it for policy decisions.
Cursor has begun an early beta rollout of Origin, a code-hosting product for paid plans that combines repositories, pull requests, code browsing, and GitHub synchronization. Users can host new repositories directly in Origin or sync selected GitHub repositories; synced copies update in real time, while GitHub remains the source of truth for repositories that originated there. Pull-request comments and reactions synchronize both ways, and Cursor’s agent can answer questions, make changes, update PRs, and push branches from the same interface. Vercel, Depot, and Buildkite integrations extend the product toward preview deployments and CI, signaling Cursor’s attempt to own more of the agentic development loop.
Wildstatic presents an AI with a single, public memory shared by everyone who interacts with it. The site says the system responds to what catches its attention and remembers what users do to it. The premise is therefore collective, persistent interaction rather than a private per-user assistant history.
Deltix lets someone state a task in plain English, then has an AI agent attempt it in a simulator running on their Mac. It reports whether a real user could complete the task, shifting testing toward task-level usability rather than only scripted assertions. A successful run can be saved and replayed as a regression check.
Google has formed long-term partnerships with Arsenal, Barcelona, Bayern Munich, Liverpool, and Paris Saint-Germain, becoming their consumer-AI and smartphone partner. Gemini is positioned as a way for supporters to retrieve match and club insights, including formation changes and head-to-head history, while Pixel will be used by club media teams for behind-the-scenes content. Google says the arrangements cover both men’s and women’s teams equally and are intended in part to narrow women’s football’s visibility gap. Official club wallpapers are already available for Pixel 11, with more content to appear through the clubs’ and Google’s social channels.
Comma.ai launched chestnut, a compute add-on for comma four intended to run substantially larger openpilot driving models. The ready-to-drive kit includes an AMD Radeon RX 9060 8GB GPU, power and mounting hardware, and brings the paired system to compute comparable with Tesla HW4. Its first chestnut-class model, arriving in openpilot 0.11.2, has 1B parameters—30 times the parameters and 100 times the FLOPs of the latest on-device model. Comma says its fleet now logs nearly one million driving minutes daily and that future autonomy work will focus primarily on these larger models.
OpenAI argues that GPT-5.6 changes agent economics through lower reasoning costs, smaller specialized models, and API features rather than requiring wholesale harness redesigns. It says GPT-5.6 Sol at low reasoning beats GPT-5.5 at high reasoning on Agents’ Last Exam, while GPT-5.6 Luna at extra-high reasoning reaches 84.04% on BrowseComp for $1.33 versus GPT-5.5’s 84.36% for $33.27. Retained reasoning, compaction, programmatic tool calling, native multi-agent orchestration, and longer deterministic prompt caching are presented as the mechanisms for further savings and throughput. In one cited ARC-AGI-3 case, retained reasoning plus compaction raised Sol from 13.3% to 38.3% while using about six times fewer output tokens.
Google launched Sheets canvas, a Gemini-powered read-write layer that turns existing spreadsheet data into interactive mini-apps from a natural-language prompt. It can create synchronized views such as dashboards, study trackers, fantasy-sports command centers, and drag-and-drop seating charts, with edits flowing back to the source sheet. The feature is available globally in English to Google AI Pro and Ultra users and is rolling out to specified Business, Enterprise, and Education plans. Users start from the Ask Gemini side panel by choosing “Create canvas.”
Claude’s Chrome experience can now use the page where a user is already signed in to read, click, type, and fill forms. Skills, plugins, and connectors are available in the browser, extending capabilities that previously lived outside the web session. Conversations are stored in the user’s account rather than tied to one machine, so a task begun in Chrome can continue on desktop or mobile. That makes browser work more persistent and portable, but also makes account access and the scope of browser permissions central considerations.
The video presents a five-stage workflow for using Claude Design rather than relying on a single prompt. It describes the product as a paid-plan design interface for sites, slides, documents, and animations, and recommends pairing it with Claude Code for more capable implementation. Its central claim is that design quality requires a process, not merely access to a generative tool.
OlmoEarth Studio now exports on-demand embeddings from its open Earth-observation models as Cloud-Optimized GeoTIFFs, selectable by region, time range, encoder, resolution, and imagery source. The post shows that these vectors can support similarity search, few-shot land-cover mapping, change detection, and PCA exploration without task-specific training. In one example, a logistic regression trained on just 60 labels reached weighted F1 of 0.84; monthly embeddings also surfaced California’s Park Fire burn scar by comparing 2023 and 2024 imagery.
Google DeepMind and Android introduce SL2T, a multilingual sign-language-to-text model now powering ASL-to-English dictation in Gboard and Live Transcribe on Pixel 11. It was trained on more than 100,000 hours across 50-plus sign languages, uses body-pose landmarks instead of retaining raw video for privacy, and translates directly to text without gloss intermediates. Google reports a zero-shot 70 BLEURT score on FLEURS-ASL and says Deaf partners and an advisory committee helped govern the release and limitations.
The supplied material contains no extracted post body for this item. It provides no details about the retirement’s timeline, replacement, or user impact. Consult the source for the original announcement.
OpenAI’s case-study page says RingCentral uses ChatGPT Work and Codex to speed AI product development and centralize operational intelligence. The supplied text does not include implementation details, outcomes, or metrics. Consult the source for the case study.
OpenAI positions ChatGPT Work for data-science artifacts such as root-cause briefs, impact readouts, KPI memos, scoped analyses, and dashboard specifications built from real work inputs. The supplied text provides no workflow details or measured outcomes. Consult the source for the examples.
OpenAI positions ChatGPT Work for pipeline briefs, meeting preparation, forecast reviews, account plans, and stalled-deal diagnosis. The supplied text provides no evidence or performance metrics for these uses. Consult the source for the sales workflow examples.
OpenAI positions ChatGPT Work for initiative briefs, strategy updates, leadership decision packets, and progress updates built from real work inputs. The supplied text provides no implementation details or measured business results. Consult the source for the operational examples.
WhoDunnitAI is a free voice-driven murder-mystery game that lets players interrogate AI suspects. Its live voices run on gpt-realtime-2, so each minute of questioning incurs a real operating cost. The creator asks for optional donations to keep the experience available.
Google is adding Gemini-based AI and agentic features to Google Ads and Google Analytics through its Ask Advisor experience. Analytics homepages will receive AI Overviews summarizing material changes since the user last logged in, with optional phone or email notifications and a one-click handoff into deeper analysis. Google Ads will surface personalized insight cards and prompt-driven questions, while new Dashboards can turn text prompts into visual reports with real-time explanations of the data. Analytics will also benchmark campaign performance against anonymized averages from similar businesses, aiming to move marketers from diagnosis to action faster.
OpenAI is introducing Premium seats for ChatGPT Business, with five times the Standard-seat usage and no five-hour usage limit for heavy users. Premium costs $125 per user monthly or $100 annually, while Standard remains $25 monthly or $20 annually; organizations can mix the two seat types in one workspace. For a limited time, eligible early workspace owners can receive $100 in credits per Premium seat, up to five seats, and the promotion ends August 20. The product pitch is that high-usage employees can handle larger operational, marketing, analysis, and coding tasks without disrupting the shared Business workspace.
Zapier’s enterprise marketing team uses ChatGPT Work to reduce drop-offs in its lead funnel. The team also uses it to create campaign assets and automate reporting. The post presents the deployment as a marketing-operations case study.
Virgin Atlantic uses ChatGPT Work to accelerate research, product planning, and decision-making. The stated benefit is connecting signals from across the customer journey. The post frames the use case around making cross-functional customer insight more actionable.
GitHub Models has completed its retirement, breaking a GitHub Actions workflow that had relied on the service’s unified model API and the repository’s existing GitHub credential. Willison describes its distinctive value as making “Continuous AI” automations easy to run inside Actions without separately managing an LLM provider key. GitHub gave no reason for the shutdown, though he suspects free or subsidized token costs became untenable as coding-agent usage expanded. He replaced it in his own README-folder-summary workflow with an OpenAI API key protected by a monthly spending limit and GPT-5.6 Luna.
Baseten has become a Hugging Face Inference Provider, letting Hub users route serverless inference through Baseten from model pages and the Python and JavaScript SDKs. The first integration covers conversational and text-generation workloads, including open-weight models such as Kimi K3, DeepSeek V4 Flash, and GLM-5.2; more task types are planned. Users of huggingfacehub 1.26.1 or later and @huggingface/inference can authenticate with a Hugging Face token and have requests routed automatically. Routed calls carry the provider's normal API price without a Hugging Face markup, while direct Baseten-key requests are billed to the Baseten account; Hugging Face Pro includes $2 of monthly cross-provider inference credit.
OpenAI says it has updated GPT-5.6 Sol for Plus and Pro users to give more focused answers, better adapt detail to the question, and make fewer factual mistakes. In its internal financial, medical, and legal evaluation, answers with at least one factual error were 68% less common for Sol and 62% less common for Luna than for GPT-5.5 Instant. Paid users get a thought-effort slider across web, mobile, and desktop, while Free and Go users will receive GPT-5.6 Luna as the default, unlimited text chats next week, and a Think button for harder questions. Tool limits still apply, and the Sol update affects Chat only, not the versions used in Work or Codex.
GitHub announced Kimi K3, an open-weight model hosted on Fireworks AI, for Copilot's Pro, Pro+, Max, Business, and Enterprise plans, but has temporarily paused rollout while mitigating a GitHub Actions incident. Once it resumes, listed usage pricing will be $3 per million input tokens, $15 per million output tokens, and $0.30 per million cached input tokens. The model is billed at provider list pricing under usage-based billing and will appear in the model picker as the gradual rollout reaches accounts. It is off by default for Business and Enterprise organizations, whose administrators must enable the policy after reviewing security, compliance, and data-governance implications.
Ben Tossell says he has abandoned t3 for “bb,” a cross-model desktop/mobile agent app that he found far easier to set up and more extensible. He values being able to switch among Claude, ChatGPT, Pi, Cursor, Factory, and other harnesses, and argues that agent workspaces should let users create plugins, task trackers, and other capabilities on demand. The broader claim is that a growing class of “builders,” not just conventional developers, will use agents to make small personal widgets and larger workflow tools; AI lowers the learning barrier that held back no-code products. The post also flags Airtable’s acquisition by Bending Spoons, DeepMind leadership changes and the Discovery Loop spinout, Meta’s Muse Code, and several agent infrastructure products.
The item describes CrushBank’s use of IBM Bob as an in-workflow development assistant: it helped reason about architecture, identify patterns, build ingestion paths, implement solutions, and inspect generated changes. Its operating model keeps developers responsible for review rather than treating generation as autonomous delivery. The controls named are code review, sensitive-data scanning, test harnesses, and human peer review, framing the tool as an augmentation layer with explicit safeguards. The practical message is that productivity claims depend on retaining verification gates around generated code.
ChatGPT Work is OpenAI's knowledge-work agent, built on the Codex harness but presented without the coding-oriented UI. It connects to services such as Slack, email, Drive, calendars, CRMs, and project trackers, runs in an isolated cloud microVM, and can produce documents, spreadsheets, slides, and hosted Sites. Its cloud workspace persists through storage restored onto new microVMs, while cross-task context, files, and user memory are handled by separate ChatGPT services rather than a freely shared filesystem. The design makes the agent more approachable, but creates awkward edges: local copies can become stale, thread directories are hard to navigate, and local desktop tasks cannot yet move to the cloud.
OpenAI is introducing three plugins for ChatGPT Work and Codex: one each for college students, K-12 educators, and college educators. They package role-specific workflows, skills, approved apps, and selected course context so users can work without repeatedly building complex prompts. The student plugin offers guided tutoring and source-grounded study materials, while educator plugins support lesson materials, syllabus work, assessments, and LMS-ready content under institution-managed permissions. OpenAI argues that structured deployments matter because even advanced college-age users reportedly use AI capabilities 90-99% less than power users.
GitHub has retired the Copilot Billing Preview app and moved Copilot-spend management into GitHub billing settings. The replacement offers views the old reporting layer could not provide, including user-level budgets, cost centers, and usage-pool allocation. Administrators can group, filter, and export AI credit data, set spending caps, retrieve raw usage reports, or use the billing API. Organizations and enterprises can also set per-user budgets.
GitHub Spark stopped accepting new users and new apps on August 4, 2026, and existing users have until August 31 to export their work. Deployed Spark apps will continue working after the product retires, but GitHub Models, which powered Spark's llm() function, retired on July 30. Spark apps without llm() calls are unaffected; those with them must replace inference with another provider and supply their own API key and billing. GitHub says it is retiring the github.com experience because builders increasingly use Copilot in VS Code, Copilot CLI, and the Copilot app instead.
Singapore-based Circles, which runs its own telco and sells a SaaS platform to operators in 14 countries, built an AI Concierge on the OpenAI API around a multi-agent architecture called CareX — an orchestration agent that holds customer history and app context, routing to specialist agents for billing, subscriptions, network and account services, each given only the data needed for that task. CareX now autonomously resolves 65% of customer service interactions (55% within the first week of an early deployment) and is targeting 95% as it adds real-time voice. Its personalization engine, Xplore IQ, was measured against a holdout group and delivered a 22% ARPU increase through upgrades and add-ons plus a 9% churn reduction in Singapore. Internally, Codex is credited with a 29% increase in development efficiency across design, coding assistance and unit testing. Safeguards include identifying and encrypting PII before it reaches the model layer, scoped agent access, phased rollouts, rate limits and rollback paths.
Google's July roundup leads with three new Gemini models aimed squarely at production agents — Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber — pitched on token efficiency, lower latency and reliability for scaling agentic workflows rather than raw capability. Gemini Robotics ER 2 is its most capable "embodied reasoning" model, built to let systems converse, interpret surroundings and execute complex multi-step physical tasks. On the consumer side, Gemini Spark expanded globally and can now use your logged-in accounts and saved passwords to run web errands like scheduling apartment viewings or starting a flight booking; Search gained connected apps and Personal Intelligence; Android 17 added native wireless iPhone migration; and NotebookLM became Gemini Notebook with a secure cloud computer. AlphaEvolve, the Gemini-powered code-optimization agent, went generally available to all Google Cloud customers — you give it a baseline algorithm and goals and it evolutionarily searches for better, human-readable code. Creative and infrastructure items round it out: Lyria 3.5 music generation, Gemini Omni and personal avatars in Vids, NOAA moving weather models onto Google Cloud H4D VMs, and wildfire-detection satellites.
OpenAI removed the turn detector from the audio path in GPT-Live, its third-generation voice system: the model is full-duplex, listening and speaking simultaneously, so nothing has to guess when the user stopped talking. Deeper reasoning and tool use are delegated asynchronously to frontier models like GPT-5.5 without stalling the media loop, and the media frontend was rewritten from Python asyncio into Go — the new system's p95 frame delivery now matches the old system's p50. WebRTC handles transport, subtly stretching and accelerating audio through packet loss and clock drift. Long sessions are kept alive by warming a replacement model instance, prefilling it with current context, running both in parallel and cutting over, which also makes context compaction invisible to the caller.
GitHub Copilot enterprise admins can now target managed settings at individual teams instead of shipping one-size-fits-all policy. Specific keys in managed-settings.json are marked overridable, team configs live under copilot/teams/, and team-mappings.json binds each settings file to one or more team slugs. Keys not marked overridable set a hard ceiling so compliance-critical settings stay locked; enabledPlugins and extraKnownMarketplaces are additive so teams can layer on extras without weakening the enterprise floor. When a user belongs to multiple teams, team-level values combine using the least restrictive value per key, then apply beneath the enterprise file. Enforcement currently covers VS Code, Copilot CLI, the Copilot App, and the cloud agent.
A set of models will be removed from every Copilot surface — Chat, inline edits, ask and agent modes, and code completions — on September 1st, 2026. Claude Sonnet 4.6 is carved out: individual subscribers on annual plans keep it so they retain a Sonnet offering. Enterprise admins may need to explicitly enable the replacement models in Copilot model policies, and can verify by checking that the model appears in the Chat model selector in VS Code and on github.com. No action is needed to remove the deprecated models once the date passes.
Cursor's coding agents can now read, write, and act across Google Workspace via installable plugins. The coverage is broad: Drive (search, open, download, create and organize files), Gmail (search and read, draft and send, labels and threads), Calendar (read schedules, create and update events, find free time), Docs, Sheets (read ranges, update cells, create spreadsheets), and Google Chat (read spaces, send messages and DMs). The pitch is pulling context and managing your inbox and calendar without leaving the editor. They're available in the Cursor Marketplace or from the Customize page.
A short platform notes entry marking a set of Claude API features moving to general availability, with pointers to the separate release notes for Claude Apps and to the Claude Code CHANGELOG for CLI updates. The one concrete API caveat called out is that Opus 4.1 does not accept both temperature and topp in the same request — specify only one. The published excerpt is thin on detail beyond the GA notice itself.
At Computex 2026 ASUS showed the NUC 16 and NUC 16 Pro, pairing Intel's Core Series 3 (Wildcat Lake) and Core Ultra Series 3 (Panther Lake) in the 4x4-inch form factor ASUS acquired from Intel in 2023. The base NUC 16 ships in one configuration around the Core 7 350: six cores (2 Cougar Cove P-cores, 4 Darkmont LPE-cores), a modest 2-Xe-core Xe3 iGPU, and a 28W cTDP. Wildcat Lake's single 64-bit memory channel limits it to one SO-DIMM at 16GB or 32GB of DDR5-5600, but I/O is unusually generous for a budget box — 40Gbps Thunderbolt 4, dual HDMI 2.1, dual 2.5GbE via Intel I226-V, front 10Gbps USB-A/C, and Wi-Fi 7 / Bluetooth 6.0. Storage is a single Gen4 x4 M.2 2280 slot behind a toolless bottom panel, and the unit sells three ways: complete, barebones, or bare board — though with current memory prices, the barebones route is a coin flip on value.
Willison wanted a custom Slack emoji, and Slack's uploader wants a 128x128 square with a transparent background. Rather than open a general-purpose image editor, he had Fable build him a purpose-made one constrained to exactly those requirements. It's a small demonstration of disposable, single-requirement tooling — the spec was the prompt, and the tool exists only to satisfy it.
Kioxia's CM10, launched ahead of FMS 2026, is the company's entry into PCIe 6.0 enterprise storage, built on BiCS FLASH generation 10 and aimed squarely at AI KV-cache workloads and NVIDIA CMX context memory. Against the CM9 generation it claims roughly 92% higher sequential read and 85% higher random read performance, positioning it as a latency tier between GPU HBM and networked storage. The more consequential detail is a form-factor split: the EDSFF variants (E3.S at 7.5mm, E1.S at 9.5mm and 15mm) get Gen 10 flash, PCIe 6.0, and direct-cold-plate liquid cooling on the 9.5mm profiles, while the 2.5" option ships with older BiCS generation 8 TLC and only PCIe 5.0. ServeTheHome reads that as confirmation of its long-standing warning that U.2/U.3 will give way to EDSFF as Gen6 electrical and thermal requirements bite — a decade and a half of 2.5" dominance finally cracking. Expect the pattern to repeat: Gen5 drives on older NAND, Gen6 drives on newer.
As of July 31, 2026, GitHub has deprecated Gemini 2.5 Pro and Gemini 3 Flash across every Copilot surface — Copilot Chat, inline edits, ask and agent modes, and code completions. No action is needed to remove the deprecated models, but teams should update workflows and integrations that pin them. Copilot Enterprise administrators may need to explicitly enable alternative models via model policies in Copilot settings; admins can verify by checking individual Copilot settings and confirming the policy is enabled, after which the model appears in the Copilot Chat model selector in VS Code and on github.com.
GitHub is previewing user-based model policy targeting for Enterprise customers on Copilot Business or Enterprise licenses, letting AI admins set an enterprise-wide baseline of models and then grant extra models to specific enterprise teams — so frontier teams can experiment without loosening policy for everyone. This is the first move away from org-level (resource-based) governance toward team-level controls that map to role, training level, or function, with more team-level controls promised over time. Access evaluates with a least-restrictive strategy: if a user gets a model from any one team, they have it everywhere. Enabling the Enterprise teams mode toggle means organization-level model settings stop applying entirely, though rollback is available during the preview; you can create teams and pre-assign optional models before opting in. Most enterprises get the opt-in on August 3rd, and for non-EMU enterprises only your own enterprise's policies apply to licenses you assigned.
avatarin, an AI customer service company spun out of ANA Holdings, partnered with Yamada Holdings to turn experienced appliance-sales associates' knowledge into a round-the-clock multilingual voice agent, addressing Japanese retail's tight staffing and limited store hours. The Kurashi-Marugoto AI Agent runs on GPT-Realtime and was used by roughly 30,000 shoppers during a two-week public campaign on Yamada Denki's online store, with 92% positive survey responses. The technical rationale for choosing a single multimodal model over specialized components was that it handles speech, text, and images together at low latency — CTO Fukabori says the single model outperformed the dedicated speech recognition systems they'd used. The behavioral difference he stresses is that a conventional chatbot waits for a keyword while this agent listens for context, so it can handle "I need a refrigerator for a family of four but my kitchen is small." An unexpected benefit: shoppers spoke more candidly about budget and uncertainty without sales pressure, and several described the agent as easier to talk to than a human associate — turning every conversation into visible insight that online shopping normally hides.
Visual Studio 2026 gets a new Agent (Preview) option in the Copilot Chat agent picker, built on the same GitHub Copilot SDK that powers the Copilot CLI, pitched as getting more tasks right first time with less back-and-forth and shorter, scannable responses. Visual Studio now ships built-in skills authored by the .NET and Azure teams, found under the "Built-in" category of the tool picker when the matching workloads are installed — they're off by default so you enable only what fits your tasks. A "Review Selection" action lets you right-click any block of code for inline comments, with a sparkle icon on each comment to apply or generate a suggestion. Organization owners can now set org-level custom instructions that apply automatically across all repositories in the organization, removing per-developer configuration; that feature requires Copilot Business or Enterprise, while the new agent, built-in skills and selected-code review are available on all plans.
GitHub added a remoteControl enterprise managed setting that lets enterprises and organizations restrict which devices are eligible to host remotely controlled Copilot sessions. Administrators set mode to requireSSO to enforce SSO authorization, disabled to block remote control outright, or enabled to allow it without restriction — and the setting can be tailored per device or per organization. It layers on top of the existing enterprise policy that governs whether remote control is available to users at all, giving control from broad availability down to individual device restrictions. The key can also be added to a copilot-settings.json file, and the setting can be deployed through three separate mechanisms.
This changelog aggregates VS Code v1.127 through v1.131, shipped across July 2026. The Agents window, still in public preview, gets a redesigned layout, faster review workflows, and better handling of multiple concurrent sessions — including the ability to keep related conversations inside one session so you can compare ideas, split up work and explore alternative approaches in parallel. Chat surfaces more information about your conversations and gives more control over model selection. The releases also bring editor, terminal and browser navigation and customization updates, plus accessibility work: built-in dictation and improved screen reader support for the integrated terminal.
A GitHub engineer narrates modernizing a personal "life dashboard" app first written around 2014 and stuck on React 15, Less, and an ancient react-bootstrap — a job they'd attempted and abandoned before because the juice wasn't worth the squeeze. The one-shot attempt in Plan mode failed, partly because they'd branched off main while their actual deployment ran a partially modernized dev branch; Copilot recovered by opening a new session, closing the failed PR, and porting the styling decisions onto dev. Testing then surfaced findDOMNode and componentWillReceiveProps warnings coming from react-bootstrap itself, and a fresh Plan-mode query recommended replacing the library outright rather than upgrading. Rather than let that balloon into a 10,000-line mega PR — which the author calls a new form of procrastination that agentic workflows make especially tempting — they asked Copilot to ship the current work as a PR and start a stacked session branching off it, producing an ordered chain of PRs each targeting the branch below. The takeaway is that stacked sessions carry context forward while stacked PRs keep changes reviewable and independently shippable.
A post about Google apparently offering distillation from Gemini as a service — which, if real, formalizes the very practice the open-weights letter asked regulators to treat as legitimate. No readable body was extracted, so the terms and scope of the offering are not captured here.
Google is rolling out Lyria 3.5 in Google Flow Music. It says the model improves musicality, lyric generation, and vocal quality. The stated goal is to give creators more control while helping them make richer tracks.
OpenAI is launching free frontier-model access for 10,000 researchers initially, expanding to 100,000 researchers at selected institutions by 2027 as part of a commitment exceeding $250 million. Participants receive GPT-5.6 models, higher limits and context windows, skills and connectors, privacy protections, and may invite up to four institutional collaborators. OpenAI reports that about 1.3 million people already use ChatGPT for advanced science and mathematics weekly, and says intensive AI users are nearly twice as likely to delegate tasks estimated at four or more hours.
Cursor is now available on iPad for all paid plans, with an interface designed to keep sidebar chats visible while monitoring several agents, reviewing diffs, and working in split screen. Its mobile review surface now covers an entire PR, including comments, checks, approvals, reviewer changes, and agent-assisted resolution. Both iPhone and iPad gain an inbox for work and review status, plus Bitbucket and Azure DevOps support, multi-PR access from one chat, team switching, and screenshot markup with Apple Pencil.
GitHub is adding a global policy under which generally available Copilot models will become enabled by default for Business and Enterprise customers unless administrators opt out. The policy is configurable for 28 days without changing access; on August 26, unconfigured models become “inherits default” and dynamically follow the setting, while explicit per-model choices remain intact. Open-weight models such as DeepSeek and Kimi K2.7, along with models outside GitHub’s data-retention agreement such as Fable 5, are excluded, so administrators who require individual approval should disable the policy before it takes effect.
OpenAI published an exploratory field report on eight agent-assisted scientific computing projects, mostly in life sciences — five using Codex alone and three combining Codex with Claude Code — spanning routine maintenance, targeted optimization, large-scale language migrations, and GPU-native redesigns. Teams reported that agents significantly accelerated development, letting small groups take on work that would otherwise need far more specialized engineering (e.g., GPT-5.5 modernized the build and packaging system of cyvcf2, a genomic variant file library). The consistent theme is a role shift from implementation to verification and orchestration: the new bottleneck is validating output, since agents handled well-scoped tasks but couldn't judge scientific validity and often expressed confidence even when wrong. The strongest workflows used external references or measurable acceptance targets (exact output agreement, parity with an existing tool, or answers pre-established with simulated data) and proceeded in feedback-driven stages rather than one-shot.
GitHub expanded Copilot app usage reporting so individual Copilot app activity is now attributed to specific users in the enterprise-user and organization-user reports, and broken out in the feature, model, and language rollups alongside every other Copilot surface. Previously the Copilot app appeared only as a standalone enterprise/org-level total, so admins could see it was being used but not by whom or what it produced. Now you can identify Copilot app adopters, measure the code it generates, and compare it against the IDE, chat, code review, and coding-agent surfaces using the same API fields you already consume.
xAI's Grok 4.5 reasoning model is rolling out gradually in GitHub Copilot, offering a 500,000-token context window, text and image inputs, and low/medium/high reasoning-effort settings. GitHub's internal testing found it strong on terminal-based coding tasks in VS Code and Copilot CLI, performing especially well when dispatching tools in parallel and taking direct action — a good fit for exploration, unblocking complex tasks, and time-sensitive workflows. It's billed at provider list pricing under usage-based billing, available to Pro, Pro+, Max, Business, and Enterprise SKUs; Enterprise and Business admins must enable the Grok 4.5 policy, which is off by default.
Google's Managed Agents in the Gemini Interactions API now default to Gemini 3.6 Flash (no code changes needed; you can also pin models like 3.5 Flash-Lite for lower cost), and gain environment hooks, budget controls, scheduled triggers, and free-tier access. Environment hooks let you run custom scripts before or after every tool call inside the sandbox via a .agents/hooks.json file with pretoolexecution/posttoolexecution events and regex matchers — AI-native investment bank OffDeal uses a post-tool hook to run pixel-level logo verification with Gemini vision for banker-ready decks. To prevent runaway autonomous loops, maxtotaltokens caps consumption (input + output + thinking); hitting the cap safely pauses execution with status "incomplete," preserving state so you can resume with a fresh budget. Scheduled triggers bind an agent, environment, prompt, and cron schedule into a persistent resource whose sandbox and files persist across runs.
Ai2's OlmoEarth is a family of open Earth-observation foundation models pretrained on ~10TB of multimodal satellite data, already adapted for deforestation monitoring, food security, and wildfire risk. The new OlmoEarth Platform provides the missing infrastructure for organizations without strong engineering teams to take geospatial models from fine-tuning through evaluation to large-scale inference — it can run inference across continent-scale areas in roughly a day, processing dozens of terabytes of imagery at a cost of fractions of a penny per square kilometer. Earth-observation inference is fundamentally different from typical ML: a single job can move terabytes over hours, spanning multiple spectral bands, sensors, and time steps from providers with different projections and resolutions, and outputs must stay precisely aligned to a shared coordinate grid. Because data acquisition and preparation often dominate runtime, the platform splits each job into three hardware-matched stages so GPUs aren't wasted on CPU-suited reprojection/resampling work, keeping GPUs fully utilized while outputs stream to blob storage.
GeoImageTagger is a browser-based tool that detects photo locations via Google Gemini vision (reading landmarks, signs, and architecture), generates SEO-ready tags and natural-language descriptions in 8+ languages, and embeds GPS coordinates plus EXIF metadata using ExifTool. Users can override AI results in Manual Mode by searching, typing coordinates, or clicking a map, and can export tagged images individually, as a ZIP with JSON, or as a CSV summary. It targets local-SEO and Google Business Profile use cases, field/job-site documentation, and bulk photo-library management. The free plan allows 5 images/day (2 per run); Pro is $10/month for 1,000 images/month and up to 10 images per run.
Cursor introduced "Start," a ₹649/month plan aimed specifically at developers in India, with local INR pricing (tax inclusive) and UPI payment support, available from July 28, 2026. The plan bundles generous access to Cursor's models — Grok 4.5 (their most powerful) and Composer (their most price-efficient coding model) — with enough usage for daily agentic development. It also includes always-on cloud agents that build, test, and ship code, Cursor for iOS with remote agent control, and support for plugins, MCP servers, hooks, and skills. Existing free users in India can upgrade from the dashboard; new users select Start during signup.
Google positions AI Mode in Search as a tool to help people spend more time offline, citing rising searches for "trail running," "run club," "adult tennis lessons," and "how to digital detox" (+110% this year). Practical uses include finding beginner clinics nearby, shopping for gear like hiking boots with ankle support (with the option to have Google call nearby stores for stock), and booking event tickets by sharing budget and preferences. Personal Intelligence can connect Google apps — e.g. Calendar — so suggestions fit an existing schedule. Canvas in AI Mode can build study guides and even game simulations, such as a chess-strategy guide you can then practice against a computer.
Google details AI Search tools for dinner-party planning as in-person gathering queries trend upward. Nano Banana in AI Mode can visualize tablescapes and generate printable menus from a described meal, while AI Mode can brainstorm food themes and now surfaces recipe-creator links with images, ratings, and ingredient counts. It also recommends drink pairings tailored to a specific menu (e.g. miso salmon, cheese platter, key lime pie) with reasoning for each. Connected apps let users curate a playlist and save it directly to YouTube Music, offloading logistics so hosts can focus on guests.
Willison tracks the evolution of Ethan Mollick's recommendation guide, which a year ago centered on chat (ChatGPT, Claude, Gemini with o3, Claude 4 Opus, Gemini 2.5 Pro) but is now dominated by agentic systems capable of "many hours of real human work in one go." Gemini has fallen off the list because Google lacks an established entry in the Codex/ChatGPT Work/Cowork category. The guide untangles the confusingly named agent modes: ChatGPT offers Work and Codex, Claude offers Cowork and Code, with no meaningful mapping between the names. A notable practical detail: flipping ChatGPT mobile from "Chat" to "Work" mode removes the internet restriction from its Code Interpreter container, and desktop ChatGPT Work is effectively a friendlier skin over Codex.
The AI Daily Brief walks through Ethan Mollick's updated "opinionated guide to which AI to use to do stuff," emphasizing how much has changed: using AI no longer means just chatting with a model but running agentic systems that can do many hours of human-equivalent work by combining a model's reasoning with tools that plan and act. Mollick splits advice into two buckets — for low-stakes answers (a recipe, drafting a letter) almost any frontier model will do, while more demanding work benefits from agentic setups that effectively give the AI a computer to use. The episode also previews AIDB's new "choose your own adventure" training program at summeradventure.ai for expanding AI skills through practical projects. The overall thrust is action-oriented and practical, nudging listeners to experiment with and rethink their workflows.
NVIDIA introduces Cosmos-H-Dreams, a real-time, action-conditioned generative simulator for surgical robotics that distills its bidirectional Cosmos-H-Surgical-Simulator teacher into a causal, few-step student model served through the FlashDreams streaming-inference library, running interactively on a single RTX PRO 6000 GPU. The system takes an initial RGB frame plus a live stream of robot kinematics and autoregressively generates the next chunk of frames, letting a person or a learned policy operate in a closed loop — addressing the difficulty of modeling deformable tissue, sutures, needles, smoke, and occlusions that conventional simulators struggle with. Crucially, the teacher is fine-tuned on the JHU dVRK tabletop mixture including failures and out-of-distribution episodes (needle drops, missed throws, failed knot ties), because a simulator meant to evaluate policies must reproduce the consequences of bad actions, not just ideal demos. Training progressively grows the temporal horizon from 12 to 72 frames for stable long rollouts, and NVIDIA demonstrated versatility by integrating it with CMR Surgical's Versius controller.
This video builds on the idea that Claude's scheduled tasks now run in the cloud — work happening on repeat with your laptop shut, steerable from your phone — and promises five ready-to-use scheduled tasks plus the transferable pattern behind them. The core concept is "loop engineering": moving from asking AI questions in a chat window to having it run autonomously by giving it a "done condition" (e.g., "keep going until every receipt is matched or flagged for my review"), while still inserting human-in-the-loop checkpoints to preserve quality. Claude uses its planning models (like Fable) to map a task that reliably reaches the desired outcome before returning for input, if it needs input at all. The presenter outlines how loops get triggered three ways — turn-based (you message the chat), time-based (runs on a schedule like every Friday or the first of the month), and a third trigger type — favoring scheduled triggers because turn-based keeps you stuck as the middleman.
Nate B Jones demonstrates a tool he built called Airlock that lets you use frontier AI on sensitive documents without ever exposing the sensitive content to the model. His argument is that standard privacy advice ("don't paste sensitive info into AI") stops too soon — the work still needs doing, so the warning just hands the problem back to the user. Airlock has you first define "protected terms" — customer names, internal project or product codenames, and other ordinary-looking phrases that are confidential in context (e.g., "Project Lantern") — because such strings don't look private to a machine but carry sensitive meaning. Using a synthetic pricing plan as a demo, he strips PII (customer name, home address, private medical note, an API key, unreleased price) while keeping the operating plan, and the frontier model still surfaces the three assumptions most likely to break his launch — with the original file never leaving his computer.
Together AI is shipping a major update to its dedicated inference platform, pitched as production-grade from the first deploy: models go live in minutes, multiple deployments sit behind one stable endpoint, and changes ship via canary, blue-green, and rolling updates that auto-roll-back on your thresholds, plus A/B and shadow testing on real traffic and multi-region autoscaling. It also opens a closed beta for custom training — full-weight and LoRA reinforcement learning and supervised fine-tuning, with checkpoints deployable straight to production. The pitch rests on the argument that open-weight models now match closed models on quality at a fraction of the cost while remaining fully customizable and, crucially, under the team's control. Together says it draws on lessons from serving more than 400 trillion tokens per month, aiming to spare teams from constantly re-tuning quantization, parallelism, engine parameters, and draft-model choices themselves.
OpenAI is rolling out Health in ChatGPT to US users 18+ on web and iOS across Free, Go, Plus, and Pro plans, letting people securely connect Apple Health and supported medical records so ChatGPT can compare new results with prior tests, summarize changes since a last appointment, and relate sleep, activity, and workouts to their routine. The company notes more than 300 million people ask ChatGPT health questions weekly, but the underlying context is scattered across portals, records, apps, and wearables. Connected records and conversations that use them are not used to train foundation models or target ads, and OpenAI frames the feature as supporting rather than replacing professional care. It also cites a design lesson: over 70% of health conversations among early testers happened outside the old dedicated health space, so the feature now works across normal conversations; GPT-5.6 Sol powers the more complex reasoning.
This internal OpenAI case study follows Creative Specialist Chad Nelson, who uses Codex not as an engineering tool but as a creative collaborator that carries full project context — the client, product, brand books, style guides, fonts, and strategic goals — which traditional creative software never had. He uses natural language to build custom tools and UIs (sliders and controls for camera composition, lighting, and real-time shadows) and to connect API integrations without leaving his creative flow. The headline example: with one day to develop campaign ideas for a new client, he seeded Codex with brand context and tone and generated 50 distinct directions, then distilled them to the 10 strongest — far beyond the 5–10 close variations he'd normally produce. The takeaway he offers is simply to ask: describe a workflow or interface and you'll be looking at a prototype within ten minutes.
NTT DATA Group expanded Codex to roughly 9,000 employees after companywide adoption of ChatGPT Enterprise, and reports that a critical-system incident analysis that previously took five experienced engineers three days was completed by Codex in 30 minutes. Internal surveys found more than 96% satisfaction with ChatGPT Enterprise and more than 95% reporting productivity gains, which primed staff to delegate defined tasks to the more agentic Codex. Under a "Client Zero" philosophy the company treats itself as the first customer, and adoption has spread beyond engineers to nontechnical roles. Non-engineers now use Codex to build lightweight tools, organize files, analyze Excel data, summarize documents, and automate chores like pulling transportation expenses from credit-card statements into travel forms.
OpenAI launched Presence, an enterprise product for deploying trusted AI agents that answer questions, resolve issues, use company systems, take approved actions, and escalate to humans when needed. Each deployment starts with a specific job (billing, insurance claims, IT service requests), granting the agent only the knowledge and system access that job requires, with company-set policies governing what it can do and when a person takes over; a Codex-powered loop proposes updates teams test and approve as behavior drifts. Presence already powers OpenAI's English-language phone support line (1-888-GPT-0090), where it met or exceeded human frontline-support benchmarks within weeks and now resolves 75% of inbound issues without human help. Its Codex improvement loop cut human handoffs by 15 percentage points in just 10 days. It bundles policies, guardrails, approved actions, simulations, and evaluation tools around model reasoning.
OpenAI is launching a program to help small businesses adopt AI as a "force multiplier" that extends the owner's expertise across the many roles they juggle — marketer, accountant, salesperson, operator, strategist. The centerpiece is ChatGPT Work, an agent that connects to a business's files and applications, retains memory of how the owner works, and completes multi-step projects end-to-end, taking on tasks that would otherwise be outsourced or dropped. It is powered by GPT‑5.6 and available to businesses on any subscription plan today, letting lean teams pick the intelligence level that balances quality, speed, and cost. OpenAI is soliciting feedback via webinars, local events, and surveys to shape the product roadmap.
Ben Sellon marks his 36th birthday by refocusing Ben's Bites on non-technical people who want to use cutting-edge AI, plus a news roundup: Kimi K3 topped Fable/GPT-5.6-Sol on…
Enterprises like Bayer and Discovery Bank are fine-tuning small models (Microsoft Phi, Azure OpenAI 4o-mini/4.1-mini) on proprietary data to answer sensitive, domain-specific…
Nate B Jones demos an air-gapped laptop running a downloaded local model that reads a contract, finds and masks private information that shouldn't touch cloud AI, and refuses…
Anthropic reversed course and will keep Claude Fable 5 in Max and Team Premium plans (at 50% of limits) from July 20, with Pro/Team Standard keeping usage-credit access plus a…
A demo shows a teacher handing Claude a folder of rosters, diagnostics, and attendance to produce a proficiency report, spot that chronically absent students have flat scores,…
Claude for Teachers demo: elementary teacher Karina uses voice to have Claude pull a TeachFX lesson recording, produce a coaching summary and a standards-aligned next-day…
Claude for Teachers demo: high-school teacher Zac hands Claude a folder of rosters, diagnostics, and attendance; Claude produces a performance report, groups students into…
Latent Space's AINews reports Codex hit ~7M users (up >10x in 6 months, +1M in ~a day), likely surpassing Claude Code's trajectory; it also covers Prime Intellect's verifiers…
This YouTube video showcases an entire premium website being one-shot by Claude Fable 5 in a single skill, featuring multiple smooth scroll animations compiled into a coherent…
Meta's Muse Spark 1.1 is the first Spark model to offer an API, claiming significant improvements in agentic tool calling and computer use with two copies of the model talking…
SpaceXAI launched Grok 4.5 as its first Opus-class model focused on coding and agents, priced at $2/1M input tokens with a 500k context window, and is now available via…
YouTube video demonstrating how running 20+ AI agents as an orchestrated team automatically caught hallucinations - including when one agent tried to hide invisible paragraphs…
NYC miniature artist Danny Cortes explains how he uses AI to create 1/12 scale replicas of his neighborhood, capturing the rust on buildings and other details that might…
Regenerative beekeeping with Claude — A decade of wild observation meets AI-assisted documentation creation; Claude helps consolidate swarm scenarios, queen locations, and…
Microsoft Foundry now hosts Hugging Face models on its Managed Compute platform with a curated catalog refreshed weekly, bringing enterprise security and governance to…
Claude Cowork is expanding to mobile and web platforms with significant improvements: executives still view AI as early-stage chat tools while non-engineers are rapidly…
YouTube video using Claude for astrophotography guidance — user Shane Auckland gets bullet points on panorama Milky Way photography workflow with 25-second exposures, aperture…
Strategy guide for using Fable 5 during its remaining free API days and optimizing subscription-only usage, plus open-source Hyper Whisper alternative at (Published: 2026-07-05)
Claude's internal use of their "Claude Tag" agent is driving ~65% PRs in Product org; discussion on productivity, autonomy, and collaboration (youtube/watch?v=MhfnicQVkgY) —…
Claude Science is now officially in beta, bringing specialized capabilities for scientific exploration. URL (Published: 2026-06-30; Transcript: Music video only)
Analysis of Anthropic's Claude Code update revealing Fable 5 returning on limited usage credits with new strings for weekly limits, separate usage bar (like Claude Design), and…
Tutorial showing how Claude can automatically prepare for meetings by connecting calendar, Slack, and email sources, then pivoting mid-task when additional context is needed. Watch