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Andreessen Horowitz leads Eka Robotics Series A funding

On October 20, 2026, Andreessen Horowitz (a16z) led the Series A funding round of Eka Robotics. According to a TechCrunch AI report that day, Eka Robotics completed a $150 million Series A funding round led by a16z and F-Prime, at a post-money valuation of $1.45 billion; the company was founded by MIT professor Pulkit Agrawal and former Google DeepMind researcher Tuomas Haarnoja, and its vision-force-action model, paired with force-sensor grippers, can grasp about 1,500 objects weighing under 1 kg per hour with a success rate exceeding 95%; the grippers cost less than $1,000 and are rated for 5 million cycles, and the company is currently conducting pilot tests of pick-and-place and cable manipulation with industrial customers. The next day, Zhidongxi reported likewise that this funding round was $150 million at a post-money valuation of about $1.45 billion, co-led by a16z and F-Prime with participation from Samsung Next and others, and said the company was founded in 2025 and is carrying out pilot cooperation with multiple industrial customers. There is currently no further progress following the completion of this funding round.

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AuxoAI Completes $20.7 Million Series A Funding

AuxoAI Inc. announced the completion of a $20.7 million Series A funding round led by NTT Venture Capital. The funds will be used to accelerate the company's growth and expand its enterprise AI consulting model. AuxoAI's core platform, Damia, is a toolkit for "forward-deployed engineers" that can turn enterprise data into applications and encode business process knowledge into AI agents capable of long-term collaboration. According to the report, the company has worked with Global 2000 enterprises for more than three years and has established partnerships with platforms such as Google, AWS, Snowflake, Databricks and Microsoft. At present, the only factual development in this event is the aforementioned funding announcement.

SageMaker JumpStart offers a curated catalog of AI models

Amazon SageMaker JumpStart provides a curated catalog of AI models, solution templates, and example notebooks. According to a retrospective published by AWS Machine Learning on October 20, 2026, from January to September 2026, the catalog added more than 100 models from 30 providers, of which Alibaba (Qwen) contributed 29, NVIDIA 17, Mistral 7, Google 6 Gemma 4 variants, IBM 4, and Cohere 4. The newly added models cover multimodal, speech, image, and video generation, and introduce quantized and compact models such as GLM-5.2 FP8 and JetBrains Mellum2-12B to reduce inference costs. The catalog currently retains the above additions.

Metis Reasoning is founded in London, focusing on a compute-efficient AI approach

On October 20, 2026, the London-based AI company Metis Reasoning was officially established and launched, focusing on a compute-efficient reasoning approach as it seeks a direction distinct from the frontier models of Anthropic and OpenAI. According to Tech.eu, the company was co-founded by Thore Graepel, former head of research at Google DeepMind and co-creator of AlphaGo, and has a team of 12 people spanning researchers, mathematicians, robotics experts and technology entrepreneurs. The company believes that LLMs have fundamental limitations in reasoning, with results that are difficult to verify and lacking an audit trail; it says its approach is more verifiable, more robust and safer, and that it has already achieved some positive results on frontier reasoning problems at a cost far below that of frontier models. The report says its initial funding is believed to be in the tens of millions of dollars, but Metis has not yet announced a release date for its first AI model.

OpenCode discloses distillation attack affecting 1.4% of console users

OpenCode disclosed that a security incident related to a large-scale distillation attack occurred the previous night, affecting 1.4% of OpenCode Console users—specifically those who had linked external service providers. The company notified all affected users by email on the morning of the 18th; those who did not receive an email are not affected. The incident is still being handled, and OpenCode said it is working with Anthropic, OpenAI, and Google to remediate it. The same day, Nathan Lambert raised doubts, arguing that it is strange to lump a cyberattack that stole API keys together with a "model transfer station" under the name "distillation," and that it is unclear how this relates to model training. Subsequently, Anthropic's Lydia Hallie said the team is working with OpenCode to handle the leak incident, has revoked the Claude API keys it believes were affected, and recommends that users who previously saved keys in OpenCode create new keys.

Four Gemini 4 Argon agents complete Minecraft without human intervention

The Google DeepMind team had four AI agents running on Gemini 4 Argon autonomously complete Minecraft in a randomly generated world, killing the Ender Dragon with no human input throughout. The team did not assign them roles, strategies, or game-specific tools; the four agents divided the work among themselves, warned each other of threats, recovered items from fallen teammates, and recorded mistakes in a shared memory. The entire run took 27 hours and 14 minutes, during which they wrote a total of 2,783 JavaScript programs, exchanged 229 chat messages, and died 605 times, costing $1,620 at the standard Gemini 4 Argon pricing that takes effect in 2027.

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Anthropic announces research on Mythos 5 autonomously designing quantum circuits

On October 17, 2026, Anthropic published a study: when given only a pure natural-language specification and an automated evaluator, Mythos 5 essentially without human intervention repeatedly submitted and improved quantum circuit designs in a closed loop, finding circuits that use fewer qubits and gates than the best previously published solutions, with some improvements reaching an order of magnitude. The elliptic-curve modular inversion design came from a single 53-hour continuous run, in which the model derived a reversible divsteps implementation that requires no storage of branch information and formally verified it with Lean; another effort reduced the gate count of the Reed-Solomon decoding step, the most expensive step in DQI, to about 1/12 of a construction previously made by Google. Anthropic also noted that the model was initially conservative and tended to follow known methods, which needed to be mitigated by requiring parallel exploration of multiple approaches and occasionally prompting it to broaden its search. Subsequent reports said the research came from the STEM Fellows program and gave differing formulations, such as a 17-fold reduction in gate count for the divsteps task.

Vapi Appoints Jeff Liu as Vice President of Engineering

Vapi announced that Jeff Liu has joined as Vice President of Engineering. According to the Vapi Blog, Jeff Liu previously served as Vice President of Engineering at Turing for about five years, and also held positions at LinkedIn and Google. Jeff Liu said that his top priority after taking office is platform reliability and scalability, in order to support high-impact product launches in the coming quarters; he believes that Vapi is building the platform on which voice deployment relies, rather than a single application.

AYi shares a two-step workflow tutorial for building personal websites with AI

On October 18, 2026, AYi (Ayi AI Notes) shared a hands-on tutorial on building a personal website or product landing page from scratch with AI, proposing a two-step workflow. The first step is to create a Feishu document as a single source of truth, storing a personal introduction, project case studies, and a service list, so that AI can read it through the Feishu command-line tool; after the text is edited, the webpage can sync automatically. The second step is to provide references by breaking things down into parts: pull code from existing design sites, take screenshots, or extract style keywords to feed to AI for assembly. The tutorial organizes nearly 70 websites across 8 stages, covering component libraries such as shadcn/ui and Aceternity UI, motion resources such as Motion, GSAP, and Three.js, whole-site aesthetic galleries such as Godly, Land-book, and Awwwards, as well as AI website-building tools such as v0, Lovable, and Google Stitch, and 4 design Skills including Anthropic's frontend-design. The article notes that referencing interaction styles and using open-source components is fine, but one should not copy others' full-site visual originals, brand images, and copy verbatim; authorization agreements must be confirmed before commercial use, and Tailwind Plus and the full version of Mobbin are paid subscriptions.