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Claude’s new Reflect dashboard doesn’t just visualize how you use AI. It also subtly reinforces how much of your daily work now depends on Anthropic’s chatbot.
In an interesting twist that takes advantage of the company's core product, users can chat with these shows' characters, ask them questions, and even roleplay different storylines.
Last year, Image Line introduced Gopher for FL Studio, an AI chatbot that was basically a glorified instruction manual. You asked it how to do something, and it would serve up the relevant instructions. It's the kind of thing I actually use AI for on a semi-regular basis. But in the new release, Gopher can […]
I was really looking forward to July 4, and not just because I love a poolside barbecue. This year the American holiday also marked a big symbolic deadline for US nuclear power. Last year the Trump administration set a goal to see three new microreactors achieve criticality, a technical milestone establishing that a reactor can…
Anthropic Shipped @claude for Slack. My Team Runs on Telegram. Anthropic just shipped @Claude inside Slack channels. Tag the bot, it reads the thread, does work async, posts back. Nice product. Except roughly 95% of small businesses don't live in Slack — they run on WhatsApp, Telegram, and Gmail. If you're a solopreneur or a 1-to-10-person team, here's the exact four-part recipe I use to run the same pattern in Telegram for under $12/month. What Anthropic actually shipped (and who it's for) Anthropic shipped an enterprise distribution deal wearing a product launch t-shirt. @Claude for Slack lets you tag the bot in a channel or thread, gives it channel memory, connects to your other apps, and returns work asynchronously — but only on Slack Team and Enterprise plans. That's the punchline: it lives where the annual contracts live. Look at the raw user counts. Slack's own reporting puts it around 35–40 million weekly active users globally. WhatsApp is over 2 billion. Telegram is over 900 million. Gmail sits around 1.8 billion. In the 1-to-10-employee segment outside US tech, Slack penetration is single digits. Small teams in Europe, LATAM, and most of Asia coordinate in WhatsApp groups and run pipeline out of Gmail. They are not about to add Slack seats at $15/user/month just to get an @Claude mention. That's a rational call for Anthropic — Slack is where the enterprise procurement motion already exists. It's just not a product for the operator segment. And the pattern they productized is trivially replicable on any messenger with a bot API. Platform Weekly/monthly active users Bot API Cost to run a mention-bot Slack ~35–40M WAU Yes, paid plan $15/user/mo + API Telegram ~900M MAU Yes, free ~$5–12/mo API only WhatsApp Business ~2B MAU Yes, metered $0.005–0.08/conversation + API Gmail ~1.8B MAU Pub/Sub push Free tier + API The four-part recipe (works in any messenger) Every mention-bot is the same four moving parts: a webhook that fires on mention, a context store that ho
The caller ID company says users are increasingly ignoring and blocking calls from India's dedicated business number series.
This developer didn't expect his side project to grow to 300,000 users, but people love Roost because it's an alternative to an always-on, fast-paced online culture.
X plans to send users direct messages when posts they’ve liked, replied to, or reposted receive Community Notes, an update aimed at addressing criticism that the platform’s crowdsourced fact-checking system often arrives too late to curb misinformation.
The feature can do things like apply cinematic relighting to brighten up a dark clip, swap out a plain background for something fun, or add artistic styles to videos.
Meta is adding a new safeguard to stop people from secretly recording others with its AI glasses. But the update comes as the company continues to expand how much personal data its AI products collect and use.
OpenAI says its new voice mode can speak and listen at the same time, a key ability for live translation.
OpenAI is overhauling ChatGPT's voice mode with a new model that it says is more like "talking to another person." The new GPT-Live-1 is designed to interrupt you less and will also wait for you to continue speaking if you pause mid-conversation. During a press briefing, OpenAI research lead Kundan Kumar called GPT-Live-1 the company's […]
Apple has signed a $30 billion+ multiyear deal with Broadcom to design and produce more than 15 billion U.S.-made custom wireless connectivity chips for Apple products.
Apple's program to invest in US manufacturing sees it spend $30 billion on Broadcom chips.
With funding from tennis star and angel investor Venus Williams, the French app WeWard says that it increases walking time by almost 25%.
Keep your iPhone or Qi2 Android phone topped up with one of the best portable chargers.
Sanity Embeddings semantic search in Next.js is one of those features that looks complicated from the outside but is surprisingly lean to wire up once you understand the moving parts. This post covers the current native Embeddings feature built into Sanity datasets — not the older Embeddings Index API, which Sanity is sunsetting. If you found a guide that talks about a separate embeddings-index resource you have to provision via the Management API, it is stale; skip it. What Sanity Embeddings actually is Sanity's native Embeddings feature lets you mark document types for vector indexing directly inside your dataset. Sanity handles the embedding model and the vector store; you never manage a separate service. Queries use a dedicated sanity.embeddings.query GROQ function that takes a natural-language string and returns documents ranked by semantic similarity. The feature is available on Growth and Enterprise plans as of mid-2026. The workflow has three parts: Configure which document types get indexed (dataset setting or the Embeddings pane in Sanity Studio). Run a semantic query from your Next.js route handler using the Sanity client. Render the results in a search UI component. Setting up the embeddings index in your dataset Go to Manage → your project → Embeddings (or open the Embeddings pane inside Sanity Studio if your plan surfaces it there). Create an index, give it a name (e.g. site_search ), and select which document types and fields to embed. For a blog you would typically pick post with fields title , excerpt , and body (plain text extracted from Portable Text). Sanity backfills existing documents automatically. New and updated documents are re-embedded on publish via an internal webhook — you do not configure that yourself. There is no code required for the indexing step. The index name you choose here ( site_search ) is what you will pass in the GROQ query. Querying embeddings from a Next.js route handler Create a route handler that accepts a search term,
The new AI model is also powering effects in Stories and image generation in WhatsApp.
Meta is launching the first AI image generation model made by its Superintelligence Labs division. The Muse Image model now powers the image-making tools across the Meta AI app, Instagram, and WhatsApp, and it's coming soon to Facebook and Messenger, according to an announcement on Tuesday. It's part of the growing Muse family of AI […]
The company confirmed that the issue had been affecting accounts since May, with an additional 200 users banned over the weekend before its team identified and fixed the problem.