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Legora completes $550 million Series E funding at an $8.8 billion valuation

Swedish legal AI company Legora announced the completion of a $550 million Series E funding round, reaching a post-money valuation of $8.8 billion. The round was led by Atreides Management, with new investors including JPMorgan Chase and Fidelity participating. The company said its annual recurring revenue has exceeded $200 million, growing from $100 million to $200 million in less than six months; this round's valuation is up about 57% from the $5.6 billion valuation in its Series D round in April this year. Legora's platform uses its core agent, Legora Agent, to break down and execute legal tasks, offering Tabular Review for batch review and a Word plugin for drafting and revising contracts. It currently covers more than 80 markets and serves more than 2,400 law firms and corporate legal teams. There is currently no qualified factual evidence of further developments regarding this funding round.

Dell CEO warns memory supply tightness will worsen further in 2027

Dell Technologies Chairman and CEO Michael Dell warned that the current memory supply tightness is far from over and is expected to worsen further in 2027. He mentioned that Dell has about $95 billion in AI server orders not yet delivered, the highest backlog in the company's history, and that insufficient memory supply is a core factor hindering the conversion of orders into revenue. He also pointed out that building a new memory wafer fab typically takes about four years, so even if capacity is expanded now, it will not be until 2029 to 2030 that sufficient new capacity can be released. Other reports said that Dell CEO Michael Dell stated that AI data centers are absorbing large amounts of storage supply, and that the shortage of HBM and conventional DRAM will be more severe in 2027, with overall tight supply possibly lasting for several years; Dell COO Jeff Clarke mentioned that if Agentic AI workloads continue to grow rapidly, tight supply of some key components may last more than 5 years.

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Alibaba DAMO Academy releases automotive-grade CPU E908A at the RISC-V China Summit

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Microsoft launches security controls for out-of-control AI agents

On October 19, 2026, Microsoft launched security controls for out-of-control AI agents. According to SiliconANGLE, the feature progressively reduces an agent's permissions when its risk score rises: the Discovery tool can identify 60 categories of local agents on employee devices, including Claude Code, Codex, and GitHub Copilot, and assigns each agent a separate identity through Entra Agent ID; Dynamic Agent Risk continuously updates the risk score based on identity, endpoint, cloud, and network signals, and Dynamic Conditional Access uses it to first revoke write permissions, then require human approval, and at the highest level directly isolate or stop the runtime. These features are grouped under Project Perception and Microsoft 365 E7, and Microsoft has not announced availability or pricing. On the same day, Satya Nadella said that he had previously written an article arguing that models should be treated as an internal risk and that security controls should be placed outside the model, and that today Microsoft is putting this principle into practice by extending Project Perception, adding capabilities to continuously assess agent risk, adaptively adjust permissions, and contain threats.

Salesforce agrees to acquire Braze for approximately $5.66 billion

Salesforce has agreed to acquire customer engagement platform Braze for approximately $5.66 billion. According to reports, Braze Class A shareholders will receive $47.50 per share in cash, and the deal is expected to close in Salesforce's FY28. Braze's real-time messaging and customer journey management capabilities will be integrated into Salesforce Marketing Cloud and combined with Salesforce's CRM, Data 360, and Agentforce platforms. The report also states that Braze currently serves approximately 2,770 customers, including Canva, Instacart, Urban Outfitters, and Venmo. No further developments have been disclosed at this time.

Salesforce announces acquisition of Braze for $5.66 billion

Salesforce Inc. announced it will acquire marketing automation company Braze Inc. for $5.66 billion in cash, or $47.5 per share, a premium of about 58% over Braze's previous closing price. According to SiliconANGLE, Braze's revenue grew 26% year over year to $227.2 million last quarter; its platform aggregates customer data through more than 190 prebuilt connectors and offers BrazeAI to automatically generate marketing assets and Agentic Standards to set constraints for AI-generated campaigns. Salesforce plans to use its technology to enhance Marketing Cloud's cross-channel personalization capabilities, and the deal is expected to close in its fiscal year 2028. No further developments have been disclosed at this time.

DeepSeek releases DeepSeek-V4.1-Flash-1017

On October 17, 2026, DeepSeek released DeepSeek-V4.1-Flash-1017, which the company says delivers stronger benchmark performance, faster task completion, and shorter outputs, achieving a Pareto improvement in performance and cost; it is now available on the official website, App, and API, and the model also launched on OpenRouter the same day. The company also announced that the Search and Fetch APIs are open to everyone, priced at $0.75 per 1,000 calls per endpoint, with calls made through server-side tools in DeepSeek Harness, Claude Code, and Codex temporarily free, and billing starting at 16:00 UTC on October 31, 2026. On October 17, Thomas Wolf commented that DeepSeek called this a "minor update," yet Terminal-Bench 4.0 rose from 31.2 to 42.3. On October 19, Arena announced that the model, with a score of 1670, became the highest-ranked open-source model on Code Arena: WebDev. On October 20, OpenCode updated it to version 1017 in Go and Free; Unsloth released a GGUF that can run locally, with the 1-bit quantized version retaining about 88.2% accuracy and shrinking in size from 508GB to 250GB; Arena then announced that it topped the Agent Arena open-source model leaderboard.

Anthropic releases report disclosing changes in the company's workforce structure

Anthropic released an internal research report analyzing AI's impact on the company's hiring and work organization, based on data including employment, AI usage, output metrics, employee surveys, calendars and recruiting records, as well as interviews with 17 employees. The report says the share of junior employees in technical departments fell from 21% in early 2025 to 14%, and the share of junior technical roles in hiring dropped from 27% to 9%; by August, interactive AI agents' working hours were six times those of employees, and per-engineer code commits reached five times the level of six months earlier. The report also notes that human attention has become the bottleneck for agent output, that employees are shifting toward meta-work of building monitoring and orchestration agents, and that hiring now places more emphasis on autonomy and judgment. Subsequent reporting says that 80% of the time spent in Claude sessions is agents waiting for human input, that in March agents' total working hours exceeded humans' for the first time, and that the share of interactive sessions employees use to manage agents rose from 10% to 22%.

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Meta releases open-weight model Muse Spark Open

On October 15, 2026, Meta released the open-weight model Muse Spark Open, with the weights going live on Hugging Face the same day under the Muse Model License. According to the PyTorch Blog, the model has 816B total parameters, 42B activated parameters, and a 1M token context window; it is natively multimodal and aimed at coding and agentic tasks, adds safety post-training on top of Muse Spark, and can run on SGLang and vLLM. On October 16, the model launched on Amazon SageMaker JumpStart with two variants, BF16 and NVFP4; the same day it entered live testing in Arena's Agent Arena and launched in Code Arena's WebDev and other projects. On October 17, Arena announced that Muse Spark Open (Max) ranked first among US open models on the Code Arena WebDev leaderboard with a score of 1511, placing 13th among all open models.

Gemini 4 Argon appears on the GCP quota page

On October 13, 2026, Gemini 4 Argon appeared on the GCP quota page. Testing Catalog, citing AiBattle, said the model was expected to launch within a few hours and called it a precursor to an imminent API model release; earlier that day, a Google employee had also teased an upcoming release. That evening, Testing Catalog reported that the model had begun rolling out and was already live in GCP's Agent Studio, where users could test it, with Google AI Studio and the Gemini app expected to follow. On October 14, Google officially released Gemini 4 Argon, open to developers and enterprises worldwide, usable via AI Studio and the Gemini platform API, and supported in Google Antigravity as well as the Gemini app and Search AI Mode for Ultra and Pro subscribers; reports said it supports long decoding output of up to 1,048,576 tokens and announced limited-time introductory pricing.

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