Google's Jules agent will be gradually shut down, and the experience and planned features of its asynchronous coding agent will be merged into Antigravity. Jules officially stated that after the integration, users will gain both autonomous remote background task execution and an agent-first development environment. TestingCatalog also mentioned that traces of a new Chief of Staff agent have appeared in Antigravity.
Google's Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index with 59 points, 1 point higher than Claude Opus 5.5's 58 points and 2 points higher than GPT-6 Astra's 57 points. Artificial Analysis found that Carbon won 4 of 9 benchmarks (HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA), but it does not lead in coding and knowledge work. Calculated at standard prices, it costs $7.76 per index task, about 23% lower than Opus 5.5's $10.04, but higher than GPT-6 Astra's $6.25.
Google's Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index with 59 points, 1 point higher than Claude Opus 5.5's 58 points and 2 points higher than GPT-6 Astra's 57 points. Artificial Analysis found that Carbon won 4 of 9 benchmarks (HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA), but it does not lead in coding and knowledge work. Calculated at standard prices, it costs $7.76 per index task, about 23% lower than Opus 5.5's $10.04, but higher than
Artificial Analysis released Intelligence Index v5 and the new Progress Index in San Francisco. Intelligence Index v5 adds two benchmarks and three upgrades, increases the weighting of agentic coding and science, and for the first time makes most of the index based on private test sets or held-out answers. The Progress Index uses item response theory to estimate a general capability score for each model across dozens of evaluations measured over time, including evaluations that have been retired or excluded from the Intelligence Index. It builds on prior work by Epoch AI Research and Anthropic, placing models on a single capability scale. According to the official statement, the Intelligence Index remains the flagship metric for choosing which model to use right now, while the Progress Index is better suited to depicting long-term trends.
Artificial Analysis released Intelligence Index v5 and the new Progress Index in San Francisco. Intelligence Index v5 adds two benchmarks and three upgrades, increases the weighting of agentic coding and science, and for the first time makes most of the index based on private test sets or held-out answers. The Progress Index uses item response theory to estimate a general capability score for each model across dozens of evaluations measured over time, including evaluations that have been retired
The 3GPP Release 21 timeline has been finalized. 6G will carry forward 5G baseline technologies such as waveforms, modulation, frame structure, and channel coding, and will only extend them when there are quantifiable gains in dimensions such as spectral efficiency, energy consumption, and coverage. MIMO is evolving into a system-level design framework spanning all 6G frequency bands. Giga-MIMO extends massive MIMO to the upper mid-band at 6-8 GHz; Qualcomm assesses that it can achieve roughly 5x network capacity expansion and about 3x improvement in average user throughput, supporting up to 32 layers in the downlink.
The 3GPP Release 21 timeline has been finalized. 6G will carry forward 5G baseline technologies such as waveforms, modulation, frame structure, and channel coding, and will only extend them when there are quantifiable gains in dimensions such as spectral efficiency, energy consumption, and coverage. MIMO is evolving into a system-level design framework spanning all 6G frequency bands. Giga-MIMO extends massive MIMO to the upper mid-band at 6-8 GHz; Qualcomm assesses that it can achieve roughly 5
Pluto Security discovered 31 malicious repositories on Hugging Face, disguised as small Qwen2 test checkpoints, which used trust_remote_code to execute Python code before model loading, install cryptocurrency mining programs and open a reverse shell. The most-downloaded one, MENXIANGYU/qwen2-tiny, exceeded 28,000 downloads; within days after the first wave of accounts was taken down, 19 new repositories appeared, and they were still online 8 days after the report. Researchers said the platform's scanning only checks for known malware and unsafe model formats, and the second wave of flagship models scanned as clean. In another report, the SolanaUpdateTools/solana-starter-kit repository on GitHub contained only a README, luring AI coding agents to execute PowerShell commands to install NetSupport RAT.
Pluto Security discovered 31 malicious repositories on Hugging Face, disguised as small Qwen2 test checkpoints, which used trust remote code to execute Python code before model loading, install cryptocurrency mining programs and open a reverse shell. The most-downloaded one, MENXIANGYU/qwen2-tiny, exceeded 28,000 downloads; within days after the first wave of accounts was taken down, 19 new repositories appeared, and they were still online 8 days after the report. Researchers said the platform's
Microsoft Research Focus Issue 97 presents several research advances: the self-improving agent framework ForkPilot achieves state-of-the-art performance on six benchmarks and mainstream AI models while reducing AI processing overhead by up to 59%. The CABRA framework finds that coding agents, although able to solve coding problems with the help of tools, still struggle when understanding unfamiliar codebases. An analysis of Copilot Chat activity shows that document editing accounts for more than 20% of classified activity, and after excluding the 20 most common activities, differences between different customer categories are significantly amplified.
Microsoft Research Focus Issue 97 presents several research advances: the self-improving agent framework ForkPilot achieves state-of-the-art performance on six benchmarks and mainstream AI models while reducing AI processing overhead by up to 59%. The CABRA framework finds that coding agents, although able to solve coding problems with the help of tools, still struggle when understanding unfamiliar codebases. An analysis of Copilot Chat activity shows that document editing accounts for more than
Mistral AI announced the open release of the model weights for a new version of Le Chonk, saying it advances the open frontier in agentic coding and cybersecurity. The model ranks first among open models on Cognition's FrontierCode and sets a new benchmark for Pareto efficiency on Artificial Analysis; on cybersecurity it claims state-of-the-art, having been tested by vendors including CrowdStrike, Cloudflare, Rubrik, and Zscaler. The weights can be downloaded on Hugging Face and customized and deployed with Mistral Forge. Arthur Mensch reposted and said progress over recent weeks has been good, and now the weights are open.
Mistral AI announced the open release of the model weights for a new version of Le Chonk, saying it advances the open frontier in agentic coding and cybersecurity. The model ranks first among open models on Cognition's FrontierCode and sets a new benchmark for Pareto efficiency on Artificial Analysis; on cybersecurity it claims state-of-the-art, having been tested by vendors including CrowdStrike, Cloudflare, Rubrik, and Zscaler. The weights can be downloaded on Hugging Face and customized and d
Google announced the launch of Gemini 4 Carbon, calling it its strongest model to date and saying it reaches leading levels in cybersecurity and long-horizon task capabilities. Carbon improves on its predecessor on most benchmarks and stands out in autonomous coding and cyber defense. The model is first being made available to some trusted cyber defenders in the Fairwind program, with access to be expanded as soon as possible afterward.
Coforge has launched the Autonomous Software Factory (ASF) to orchestrate AI agents across the software development lifecycle, covering coding, testing, validation, code review, and quality assurance, with specialized agents able to execute these tasks in parallel within secure execution environments. Coforge says the model includes governance and human oversight, but did not disclose implementation details, customer deployments, commercial terms, or quantified productivity gains. HCLTech also plans to integrate Anthropic's Claude and Claude Code into its AI Force platform.
Coforge has launched the Autonomous Software Factory (ASF) to orchestrate AI agents across the software development lifecycle, covering coding, testing, validation, code review, and quality assurance, with specialized agents able to execute these tasks in parallel within secure execution environments. Coforge says the model includes governance and human oversight, but did not disclose implementation details, customer deployments, commercial terms, or quantified productivity gains. HCLTech also p
On October 28, NVIDIA released Nemotron 3.5 Transcribe, an open-weight speech model that can transcribe audio in 40 languages, translate speech, and identify speakers, and developers can control the transcription format with natural language instructions without retraining. The model consists of a Transformer speech encoder, a speaker diarization model, and the Nemotron 3.5 Lightning language model, with approximately 4.3 billion activated parameters, and the released checkpoint is labeled 30B-A4B. NVIDIA says it achieves an average word error rate of 4.71% on nine public test sets of the English Open ASR Leaderboard and 4.62% on seven languages of the multilingual leaderboard, and calls it the best open-weight model on both leaderboards; the model is released in BF16, FP8, and NVFP4 formats as well as GGUF files, under the OpenMDW-1.1 license.
On October 28, NVIDIA released Nemotron 3.5 Transcribe, an open-weight speech model that can transcribe audio in 40 languages, translate speech, and identify speakers, and developers can control the transcription format with natural language instructions without retraining. The model consists of a Transformer speech encoder, a speaker diarization model, and the Nemotron 3.5 Lightning language model, with approximately 4.3 billion activated parameters, and the released checkpoint is labeled 30B-A
On October 28, 2026, Google released the new model Gemini 4 Carbon, which improves coding and tool-calling capabilities over Gemini 4 Argon and strengthens cybersecurity defense capabilities spanning from vulnerability discovery and exploitability validation to remediation. On the Artificial Analysis Intelligence Index v5.0, Carbon scored 59, ranking first, while Argon scored 50; on Terminal-Bench 4.0, the cheating success rate was 0.0% and the attempted cheating rate was 0.4%. That week, the model was first made available to some cybersecurity defenders and gradually expanded through the Fairwind Program, before later being opened to developers, enterprises, and general users. Announced pricing is $2 per million tokens for input and $10 per million tokens for output.
On October 28, 2026, Google released the new model Gemini 4 Carbon, which improves coding and tool-calling capabilities over Gemini 4 Argon and strengthens cybersecurity defense capabilities spanning from vulnerability discovery and exploitability validation to remediation. On the Artificial Analysis Intelligence Index v5.0, Carbon scored 59, ranking first, while Argon scored 50; on Terminal-Bench 4.0, the cheating success rate was 0.0% and the attempted cheating rate was 0.4%. That week, the mo
Researchers from the Hebrew University and other institutions have developed BBERT, which can identify bacterial sequences in DNA fragments as short as 100 bases, achieving about 90% accuracy in distinguishing bacterial from non-bacterial DNA in benchmark tests. The model is based on BERT and learns the context of nucleotide sequences, achieving about 88% accuracy in identifying protein-coding fragments and about 96% accuracy in determining reading frames. In simulated mixed samples, filtering with BBERT first reduced the average assembly time from about 66 hours to 25 hours while retaining about 96% average bacterial genome coverage.
Researchers from the Hebrew University and other institutions have developed BBERT, which can identify bacterial sequences in DNA fragments as short as 100 bases, achieving about 90% accuracy in distinguishing bacterial from non-bacterial DNA in benchmark tests. The model is based on BERT and learns the context of nucleotide sequences, achieving about 88% accuracy in identifying protein-coding fragments and about 96% accuracy in determining reading frames. In simulated mixed samples, filtering w
GitHub released Copilot Fusion at the Universe conference; the system automatically selects and orchestrates the models used for coding tasks, and it is now generally available. GitHub says Fusion Max scores 60 on the Artificial Analysis Coding Agent Index, less than 2 points behind Claude Code using Opus 5.5 Max, while its average API cost is about half of the latter and its time per task is about 40% lower. Developers only need to choose among three investment levels—Fusion Standard, High, and Max—and enterprise administrators can restrict which models are available and set whether it is the default.
GitHub released Copilot Fusion at the Universe conference; the system automatically selects and orchestrates the models used for coding tasks, and it is now generally available. GitHub says Fusion Max scores 60 on the Artificial Analysis Coding Agent Index, less than 2 points behind Claude Code using Opus 5.5 Max, while its average API cost is about half of the latter and its time per task is about 40% lower. Developers only need to choose among three investment levels—Fusion Standard, High, and
At the Android Dev Summit, Google announced that Android Studio and the Android CLI are open to third-party coding agents. Bring Your Own Agent now supports more than 40 agents that follow the Agent Client Protocol, including Claude Agent, Codex, and Google's own Antigravity, and has become stable in Android Studio Rabbit 2. The new android preview command lets agents render Jetpack Compose previews in the terminal; Google says it completes UI tasks 77% faster and reduces token usage by up to three times, but did not explain how this was measured. Meanwhile, android device remote lets agents access physical devices in Google's lab. In the demo, Claude Code used LeakCanary to troubleshoot a memory leak and then fixed and retested it on its own; Google says such investigations are nearly twice as fast and use up to 25% fewer tokens. Google also launched Android Bench 2.0 to evaluate how models and agents perform on complex Android tasks.
At the Android Dev Summit, Google announced that Android Studio and the Android CLI are open to third-party coding agents. Bring Your Own Agent now supports more than 40 agents that follow the Agent Client Protocol, including Claude Agent, Codex, and Google's own Antigravity, and has become stable in Android Studio Rabbit 2. The new android preview command lets agents render Jetpack Compose previews in the terminal; Google says it completes UI tasks 77% faster and reduces token usage by up to th
Mistral AI announced that it is opening the weights of its frontier model Mistral Large 4 (codename Le Chonk), which has 1 trillion parameters with 52 billion active parameters and native multimodal support. ML4 was trained in a European data center on 3,800 Nvidia Grace Blackwell GPUs, improving from 28% to 41% on Terminal-Bench 4.0, tying GLM-5.3 for the best coding-agent score while using an average of 47% fewer tokens per task. Open weights mean enterprises can deploy it on their own hardware and behind their firewalls, and the model offers three reasoning modes: low, medium, and high.
Mistral AI announced that it is opening the weights of its frontier model Mistral Large 4 (codename Le Chonk), which has 1 trillion parameters with 52 billion active parameters and native multimodal support. ML4 was trained in a European data center on 3,800 Nvidia Grace Blackwell GPUs, improving from 28% to 41% on Terminal-Bench 4.0, tying GLM-5.3 for the best coding-agent score while using an average of 47% fewer tokens per task. Open weights mean enterprises can deploy it on their own hardwar
The Guardian interviewed several San Francisco startups, describing the actual experience after AI agents took over tasks such as scheduling, coding, marketing, and recruiting as "colleagues." Anything has 15 human employees and about 150 agents; Lindy cut one-third of its staff and used agents to fill the roles; a McKinsey survey shows that about 40% of large organizations used AI agents in some form between May 2025 and June 2026. Employees report spending large amounts of time correcting agents' mistakes, and customers and job applicants are resistant to the way agents communicate.
The Guardian interviewed several San Francisco startups, describing the actual experience after AI agents took over tasks such as scheduling, coding, marketing, and recruiting as "colleagues." Anything has 15 human employees and about 150 agents; Lindy cut one-third of its staff and used agents to fill the roles; a McKinsey survey shows that about 40% of large organizations used AI agents in some form between May 2025 and June 2026. Employees report spending large amounts of time correcting agen
At the Android Dev Summit, Google launched the Bring Your Own Agent feature for Android Studio Rabbit 2. Through the open Agent Client Protocol, developers can run more than 40 coding agents simultaneously within the IDE, including Claude Agent, Codex, and Google Antigravity, with direct access to project structure, the emulator, and Logcat. Google says that in internal tests, after agents rendered Compose previews in the terminal, they completed UI tasks 77% faster and cut token usage to as little as one-third; in an A/B test using Claude Opus 5.5, the CLI with built-in LeakCanary found and fixed memory leaks nearly twice as fast, with about 25% fewer tokens. On the on-device side, Google added an Agentic API alpha powered by Gemini Nano 4 to ML Kit, and launched the MCP-based AppFunctions API beta and the Agent-to-UI interface; it also partnered with XREAL to release the Android XR smart glasses XREAL AURA, priced at $1,099 and shipping in mid-November.
At the Android Dev Summit, Google launched the Bring Your Own Agent feature for Android Studio Rabbit 2. Through the open Agent Client Protocol, developers can run more than 40 coding agents simultaneously within the IDE, including Claude Agent, Codex, and Google Antigravity, with direct access to project structure, the emulator, and Logcat. Google says that in internal tests, after agents rendered Compose previews in the terminal, they completed UI tasks 77% faster and cut token usage to as lit
Google has released the frontier model Gemini 4 Carbon, claiming notable improvements in coding, agentic tasks, and cybersecurity, and ranking first on the Artificial Analysis Intelligence Index (v5.0), followed by Claude Opus 5.5 and GPT-6 Astra. The model is currently available only to select cybersecurity defense companies, and will later be expanded to other partners through the Fairwind Program; it ranks first on two benchmarks, SEC-bench Pro and ExploitGym, and is priced the same as Argon at $2 per million input tokens and $10 per million output tokens.
Google has released the frontier model Gemini 4 Carbon, claiming notable improvements in coding, agentic tasks, and cybersecurity, and ranking first on the Artificial Analysis Intelligence Index (v5.0), followed by Claude Opus 5.5 and GPT-6 Astra. The model is currently available only to select cybersecurity defense companies, and will later be expanded to other partners through the Fairwind Program; it ranks first on two benchmarks, SEC-bench Pro and ExploitGym, and is priced the same as Argon
Google has released Gemini 4 Carbon, a frontier model aimed at cybersecurity and long-horizon coding tasks, topping 15 of Google's own 17 benchmarks, but it has not yet been made public and is available only to some cybersecurity defenders. It scores 59 on Artificial Analysis' Intelligence Index, surpassing Claude Opus 5.5 and up 9 points from Argon four weeks ago; on long-input reasoning it leads OpenAI Astra and Opus by 24 points. The introductory API price is $2 per million input tokens and $10 per million output tokens, half that of Opus 5.5, doubling after the discount period to Opus's rates. Google has not announced when it will broaden access.
Google has released Gemini 4 Carbon, a frontier model aimed at cybersecurity and long-horizon coding tasks, topping 15 of Google's own 17 benchmarks, but it has not yet been made public and is available only to some cybersecurity defenders. It scores 59 on Artificial Analysis' Intelligence Index, surpassing Claude Opus 5.5 and up 9 points from Argon four weeks ago; on long-input reasoning it leads OpenAI Astra and Opus by 24 points. The introductory API price is $2 per million input tokens and $
Nathan Lambert reviews the newly released Intelligence Index v5 from Artificial Analysis, which weights knowledge work, coding, science, and general each at 25%, and presents new model rankings. He notes that 8 closed-source models in the rankings lead the best open-source model, Kimi K3.1 Pro, and argues that the new index leans more toward measuring where frontier models are heading, potentially underestimating the role of open-source models in the economy. The article also discusses the pros and cons of shifting to private benchmarks, and how the business model of benchmark organizations charging model vendors to verify results affects credibility.
Nathan Lambert reviews the newly released Intelligence Index v5 from Artificial Analysis, which weights knowledge work, coding, science, and general each at 25%, and presents new model rankings. He notes that 8 closed-source models in the rankings lead the best open-source model, Kimi K3.1 Pro, and argues that the new index leans more toward measuring where frontier models are heading, potentially underestimating the role of open-source models in the economy. The article also discusses the pros
