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Anthropic Opens Message Threads Beta in the Messages API

Anthropic has launched the message threads beta on its Messages API. The API caches conversations server-side, so subsequent requests only need to send the new message and the previous message ID, allowing Claude to start responding faster. The company says the feature is already integrated in Claude Code, with median time to first token for 500K to 1M token requests reduced by about 35%, and median request size for long conversations dropping from about 800 KB to 1.8 KB. To use it, add the thread parameter and beta header to requests. The feature is available on Claude Platform, Claude Platform on AWS, Claude in Microsoft Foundry, and Claude on Google Cloud, and is billed at standard token prices.

Claude Code integrates message threads, reducing first-token latency for long requests by about 35%

After Claude Code integrated message threads, on requests of 500K to 1M tokens, the median first-token latency dropped by about 35%; in long conversations, the median size of a single request fell from about 800 KB to 1.8 KB. Message threads have entered public beta in the Messages API. The server caches the conversation between turns, so callers only need to send the new message and the ID of the previous message, and must add the thread parameter and beta header. It is available on Claude Platform, Claude Platform on AWS, Claude in Microsoft Foundry, and Claude on Google Cloud, and is billed at standard token prices.

Anthropic Opens Public Beta of Message Threads in the Messages API

Anthropic has opened the public beta of message threads on the Messages API. The API caches conversations on the server side, so developers only need to send the new message and the previous message ID, without resending the full conversation. The feature has been integrated into Claude Code; on requests of 500K to 1M tokens, median time to first token dropped by about 35%, and in long conversations the median request size fell from about 800 KB to 1.8 KB. To use it, add the thread parameter and beta header to requests. The feature is available on Claude Platform, Claude Platform on AWS, Claude in Microsoft Foundry, and Claude on Google Cloud, and is billed at standard token prices.

Karpathy built HackerTube with Claude, filtering 6,454 videos from 43 million HN comments

Karpathy released the weekend project HackerTube, using Claude to filter 6,454 repeatedly recommended videos from 43 million comments spanning 20 years of HN. The entire project was completed in about 2 hours using Opus 5.5. The site provides recommendations without requiring login, thumbnails are taken from a representative frame in the middle of the video, and the comment analysis data is packaged as a zip file that can be handed to Claude to generate your own version. He used the Mac desktop version of Claude Code and manually did only three things: applying for a Google Cloud API key, starting a VPS, and purchasing a domain. After that, he had Claude handle updates, security hardening, deployment, and code optimization.

DevFest 2026 Returns: 800+ Community Events Focus on the Agentic Era

DevFest 2026, hosted by Google Developer Groups, will take place from October 1 to December 31, covering 115 countries with 800+ events and an expected nearly 1 million developer participants. The events revolve around generative AI, autonomous agents, Google Cloud, Android, and the Web, under the theme of building, securing, and scaling in the agentic era. Local events are organized by communities in local languages, with Google Developer Experts and Google engineers participating as speakers.

Who Is Really Eating the AI Dividend: Looking at Profit Distribution Through Tech Giants' Financial Reports

The article reviews the latest financial reports of tech giants such as Meta, Amazon, and Google, noting that AWS revenue grew 39% year-over-year, but the group's free cash flow over the past 12 months turned negative at -$42.4 billion, and Alphabet's stock price fell 12.64% in a single day. Anthropic's prospectus shows revenue of $16.286 billion in the first half of 2026, a year-over-year increase of 1300%; compute and infrastructure costs during the same period reached $8.945 billion, and it signed minimum purchase commitments totaling $269.4 billion with Google, Amazon, and Microsoft. In a McKinsey survey, 80% of respondents said AI improved work efficiency, but only 37% believed AI made a positive contribution to corporate EBIT.

360's Tulongfeng achieves a 99.4% success rate and tops the CyberGym vulnerability reproduction evaluation

360 Group's self-developed AI security attack and defense system Tulongfeng topped the CyberGym benchmark test with a 99.4% vulnerability reproduction success rate, competing on the same leaderboard with models and agents from vendors including OpenAI, Anthropic, and Google. The evaluation covers 1,507 tasks, and Tulongfeng's success rates across three independent evaluation rounds were 99.27%, 99.47%, and 99.40%, averaging 99.38%. 360 states that Tulongfeng has discovered more than 15,000 vulnerabilities in total, and more than 500 enterprises have already integrated the system to conduct security testing.

Peter Yang uses Genie 4 to build 5 worlds in real time

Peter Yang believes that world models are the next big direction for AI after LLMs. In a new video, he demonstrates how to use Google Genie 4 + Gemini to build 5 worlds in real time, including a monster attacking San Francisco, eating ramen at a street stall in Tokyo, and riding a dragon to attack a castle; he says the visuals are excellent, but what impressed him more was the real-time audio and interactivity, and he shares his views on the impact on film and games.

Sunra launches a unified API to call image, video, audio and 3D models at the vendors' original prices

Sunra has released Sunra API, which lets users call all major image, video, audio and 3D models with a single key, billed at each model vendor's own API price, on a pay-as-you-go basis, with no subscription fee and no markup. Rohan Paul relays that Seedance 2.5 costs half as much on Sunra as on two other gateways, and that this unified entry point also makes it easy to run A/B tests on models from Google, OpenAI, ByteDance and Kling.