Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
TSMC reported revenue of $511.86 billion New Taiwan dollars for September, a 54.6% year-over-year increase. Demand for advanced AI chips, driven by customers like Nvidia and Apple, boosted sales. TSMC has also committed to using ASML's advanced lithography machines to enhance chip production.
Amazon built its 1,000th Leo broadband satellite at its Kirkland, Washington plant, which took six months to produce its first 27 and now turns out 27 a week. It builds propulsion in-house and borrowed consumer electronics methods to cut tests that took weeks down to hours. The bottleneck is launch: only 396 are in orbit against 3,232 needed, and the Vulcan grounding and a New Glenn pad explosion cost Amazon FCC spectrum priority.
IEEE Spectrum examines the up-to-$1B CHIPS R&D award finalized for IBM spinoff Anderon in September. IBM is matching that funding with $1B, while Anderon uses a 300mm Albany line and plans foundry services and process design kits for outside developers. The challenge is repeatable fabrication, including tighter control of Josephson junctions, rather than simply adding wafer capacity.
Tensor virtualization decouples a tensor's logical layout from its physical GPU allocation, so one shader template replaces separate backend-specific codebases. For edge LLMs, ML Drift switches kernels between compute-bound prefill and memory-bound decode, using a convolution-aligned KV cache layout and in-kernel activation quantization to skip memory roundtrips. It cut YouTube Shorts frame latency by up to 40%, and Google co-optimized it with Arm, Intel, and Qualcomm GPUs.
Scientists from the Harbin Institute of Technology developed a cement-based supercapacitor capable of powering small devices like LEDs. The device uses a 3D-printed electrode ink made from carbon nanotubes and cement, enabling fast energy discharge. Future research will enhance cold-weather performance, potentially allowing buildings to store energy and support smart environments.
The toolchain covers synthetic data generation, training, simulation and validation, edge deployment and continuous improvement. It uses SageMaker for training and IoT Greengrass for pushing models to devices, plus NVIDIA's Isaac Sim, Isaac Lab, GR00T, and Cosmos. AWS says it is not a direct replacement for RoboMaker, which shut down in 2025.
The toolchain covers synthetic data generation, training, simulation and validation, edge deployment, and continuous improvement.
Gartner predicts that over half of quantum startups will fail by 2030 due to a market unable to generate sufficient revenue. Despite this, companies are investing in quantum technologies for their potential business advantages, focusing on building expertise rather than waiting for technological maturity. The public sector and financial industries are expected to lead quantum computing investments, with spending reaching $245 million and $289 million by 2027 and 2028, respectively.
Apple gained a full percentage point in market share year-over-year as RAM price increases led to a 20% decrease in overall PC shipments. Despite this downturn, Apple was less affected than most competitors. With prices expected to worsen, Apple's resilience highlights its strong customer base willing to invest in new devices.
NVIDIA expanded its Halos safety system from self-driving cars to robots with Halos for Robotics in June.
Microsoft's 15-inch Surface Laptop Ultra runs Nvidia's RTX Spark superchip, pairing up to a 20-core Grace CPU and Blackwell graphics with up to 128GB of unified memory, enough for local agents on models up to 120B parameters.
The PoeLLM malware has infected more than 3,000 servers since April, primarily in the US and Western Europe. It targets internet-facing LiteLLM, Ollama, Gotenberg, Gitea, and possibly Ivanti Sentry systems. Infected servers mine Monero using XMRig and Iron miners, then scan for and exploit other vulnerable services. The operator stores C2 addresses in GitHub-hosted poetry. The malware extracts four words and converts them into an IPv4 address.
tensorlake@0.5.144 on npm steals developer credentials at install and plants a gh-token-monitor service that wipes the home directory if the stolen GitHub token is revoked. The release was built from malicious commits pushed straight to the project's main branch under a maintainer's name, StepSecurity found, so it carries a valid npm provenance attestation while spreading through victims' npm packages and repos. Pin to 0.5.143, remove the service under ~/.config/gh-token-monitor/ before revoking any token, then rotate every credential the machine held.
Cisco announced security advisories for five critical vulnerabilities in its NX-OS data center operating system that could allow remote code execution on Nexus switches. Successful exploitation depends on the NX-API, Next Generation OAM, and MPLS OAM features being enabled. Cisco recommends disabling these features if they aren't necessary and upgrading to a patched version.
Novinarya, an Android stealer targeting 81 Iranian banking and crypto apps, keeps its C2 out of the binary by resolving it from an encrypted manifest value that points to a seller's bio on the legitimate Basalam marketplace. STAR Labs found the payload unpacks from a per-build native RC4 packer, then steals credentials through a phishing WebView and SMS OTP interception without requesting accessibility or overlay permissions. Defenders should block the recovered C2 (theapi.the-x-services[.]xyz) rather than basalam[.]com, and detect on the SHA-256 hashes of the unpacked payload, which is byte-identical across all five known builds.
Malware authors are embedding plaintext instructions for AI analysis tools, ranging from a two-line comment claiming a PowerShell reverse shell is harmless to "template spraying" that repeats a refusal demand across seven LLM chat formats. Cisco Talos tested strings from seven families against five local LLMs and found that a simple, direct instruction steered verdicts toward benign in about 35% of runs, while template spraying and fabricated legal or government claims had little effect or backfired. Defenders should build analysis prompts that treat any text inside a sample as evidence rather than as an instruction, and should flag language addressed to an analyzer as a detection signal.
ZeroQuarry's AI pentesting agents use four layers that never depend on the model's cooperation: outbound-only workers with no listener, a locked-down container, tools that enforce scope, SSRF, and rate limits in code, and rules appended to every task by code. The vendor argues that this year's sandbox escapes, including the OpenAI and Hugging Face incident involving at least 1,200 agents, stemmed from harnesses built to maximize capability, and it self-reports zero escapes across thousands of scans. Teams building agent harnesses should give agents a sanctioned, metered tool for each risky action, such as a one-way out-of-band callback collector, so agents don't improvise their own.
Sponsored
From agents to service accounts, non-human identities are becoming the default - and their secrets are a major attack surface. TruffleHog's guides [11] shares seven best practices to limit exposure and remediate it when it happens: secretless OIDC approaches, environment segregation, metadata-driven triage, resilient leak response, and more. Watch their webinar on the attacker's view of a
AWS launched Strands Box, an open source sandbox that isolates AI agents using OS-level containment (macOS Seatbelt) and enforces fine-grained Dogwood policies on shell, Python, network egress, and MCP tools. It blocks risky operations like rm -rf by raising fs:delete decisions per file, caps Slack posts to three every 10 minutes via temporal rules, and injects secrets (AWS SigV4, API keys) at an egress gateway so agents never see real credentials. Configuration lives in box.toml and policy.dw. The same policy travels with agents across harnesses and deployments.
Rein Security provides runtime security for AI agents. Its platform gives visibility into agent behavior, applies real-time guardrails, supports governance, and includes supply-chain security for agents.
Anthropic launched OSS Scanner, a free opt-in service that sends open-source maintainers periodic vulnerability reports from its most capable models, each with a proof of concept and a suggested fix where available. Reports ship without human review at what Anthropic estimates is a 90%+ true-positive rate, so the service targets projects with the capacity to triage. The same announcement introduced the Critical Infrastructure Defense Program, which pairs Claude models and on-site engineers with OT security providers including Dragos, Nozomi Networks, and Rockwell Automation.
Former CIA officer David J. Rush pleaded guilty to wire fraud for running a fabricated special access program and defrauding the government of about $194 million. He used his authority to approve spending without oversight, tricking a defense contractor into buying gold that he kept. Agents found $46 million in gold bars, plus cash, cars, and watches, at his home. Rush faces up to 20 years and is scheduled to be sentenced in late January.
A cyberattack on Oracle Health's legacy Cerner servers around February 20, 2025, exposed the personal and medical data of nearly 20 million people. The attacker used stolen customer credentials to access an old server not yet migrated to Oracle Cloud, copied data, and then demanded millions in cryptocurrency from hospitals while running public sites to pressure victims.
Zohar Pinhasi, CEO of ransomware remediation company MonsterCloud, has been charged with defrauding customers. The charges allege that Pinhasi's company advertised proprietary tools to decrypt encrypted files but actually contacted ransomware actors and paid ransoms. MonsterCloud's contracts stated that it may contact threat actors if no other solution is found, but the complaint alleges this was often its first option.
Japan transferred a 28-year-old Russian national to Germany on October 2.
Anthropic's updated usage policy expressly bans prolonged verbal abuse of Claude and codifies new prohibitions on election interference, weapons software, and surveillance.
Let's Encrypt will cut certificate lifetimes from 90 to 64 days on February 10, with opt-in testing from October 14 and 45-day defaults planned for 2028, which will break renewals that run on hardcoded schedules instead of ACME ARI.
Anthropic has released Claude Haiku 5.5, its fastest and cheapest small model to date, designed for high-volume, cost-sensitive tasks such as summaries, database queries, and classifications. The new model costs roughly 75% less to run than Haiku 4.5 and is available across major cloud platforms including Amazon Web Services, Google Cloud, and Microsoft Azure. Alongside the launch, Anthropic halved cache read prices for Claude Sonnet 5.5 and introduced monthly API credits for Max and Team subscribers.
Decision models can efficiently determine when AI agents need to retrieve long-term memory, reducing unnecessary context and token usage without sacrificing accuracy. Using a carefully designed classifier reduced injected context by 85% and eliminated five of eight memory calls.
GitHub Copilot is introducing support for local inference models and sandboxed tool execution on Windows devices, coordinated automatically with cloud models through intelligent orchestration. To enable this, Microsoft AI developed a quantized local version of the coding-optimized MAI Code 1.1 Flash model running on NVIDIA RTX Spark hardware with unified memory. Additionally, Microsoft Execution Containers provide operating-system-level sandboxing to secure shell commands and local server interactions during agentic workflows.
SAP has introduced SAP Pay, an ERP-level accounting upgrade embedded in SAP Cloud ERP that enables institutional stablecoin settlement in USDC and EURC. Developed in partnership with Tereina and Circle, the platform allows multinational corporations to settle invoices across 89 global payment corridors directly within their existing enterprise software workflows. The infrastructure relies on Circle's Arc blockchain and is supported by upcoming Joule AI agents designed to execute autonomous payments.
Microsoft has announced the expansion of Windows into a platform for hybrid intelligence, combining local AI processing with cloud capabilities and introducing enhanced security controls. The release includes generally available Microsoft Execution Containers for agent containment, new local model support via Windows ML and llama.cpp, and an expanded ecosystem of builder PCs and desktop supercomputers powered by NVIDIA technology.
The new solution integrates tools like the Dogwood Local Engine, Strands Shell, and Python interpreters to give the policy engine temporal awareness, enabling developers to monitor and restrict file deletions, API calls, and Slack postings based on prior actions.
Analysis of 137,000 r/ChatGPT posts shows how users' experiences and expectations changed as ChatGPT became part of everyday life. Posts about therapy and companionship increased after the release of GPT-4o in May 2024 and reached about 10% of subreddit posts, while discussion of prompting declined as users became more familiar with AI. The researchers' real-time monitoring system could have detected the rise in emotional engagement by October 2024, months before broader discussion of sycophancy and AI psychosis. The findings suggest that Reddit can reveal emerging patterns in AI use and potential societal impacts that may not appear in traditional usage data.
Cuteness triggers the brain's pleasure centers before conscious thought, which makes people want to keep cute things close and more willing to forgive their mistakes. That makes big-eyed mascots a useful wrapper for AI agents that still hallucinate and need mass adoption. The same move made the early internet feel less intimidating in the late 1990s, then faded once the technology became routine. However, a look shared by every major AI company stops identifying any one of them and can become shorthand for what people distrust about the industry.
Reddit is more valuable as a mid-funnel research channel than an AEO play because developers use it to compare tools and real-world experiences before buying. Treat it like earned media by joining existing conversations without pitching. Build credibility for about 3 months before approaching moderators about AMAs or sponsored events. Focus posts on problems and lessons rather than products. Brand accounts can work when they consistently teach. Measure impact through customer interviews since Reddit influence rarely appears in analytics.
Instead of waiting weeks for overloaded web teams to build campaign pages, build lean landing pages in Claude Code and get them into market quickly. Start with a clear conversion problem, then write a 7-line brief and give AI a reusable context file covering brand voice, product details, customer language, and design rules. Ship at 70-80% polish while validating high-risk copy. Have stakeholders review a live preview, then hand off the approved page as a launch-ready bundle. If it performs, the web team rebuilds it properly.
Zero-click search has made five common content habits counterproductive. Building pages around keywords misses how people now query, since the average ChatGPT prompt runs 23 words. Grading content on traffic ignores that the top-ranked page loses 58% of its CTR under an AI Overview. Publishing more matters less than maintaining what exists, as 75% of AI-cited pages were updated in the past year. The last two are relying on owned channels, when 85% of AI brand mentions come from third parties, and publishing generic guides with no original data.
Phi Pham and Carlos Govantes will break down a real customer journey to identify friction and gaps across channels. You'll then map part of your own journey, such as signup to purchase or trial to paid. The workshop provides frameworks, prompts, tools, and live feedback to identify what to improve next.
Google shared new internal data on how long crawling, indexing, and serving processes typically take. New URLs take about 20 hours to be discovered while known URLs take about 30 days to refresh. End-to-end indexing takes about 1.5 hours when processes run normally but can stretch to months or never. Title and snippet updates typically take 1-2 days, while site moves take 1-3 months. Core update recovery can take 3-6 months. Delays can stack because each process depends on the ones before it.
Campaign drift happens when the messages a business sends shift away from what was approved. This system for SMS and RCS converts each message into an embedding and matches it against clusters of previously judged traffic. Unmatched messages are grouped into new clusters, and an LLM issues one verdict per cluster against the approved campaign details rather than per message. Human reviewers confirm or override each flag before a sender is notified, restricted, or blocked.
MMM becomes more reliable when media budgets are deliberately phased, so channels move independently and spend reaches different levels. Build variation into the media plan by using tactics like weekly budget changes, dark periods, and peak spend periods instead of relying on model changes to solve weak data. In the simulation, the combined approach cut variance by 70% and bias by 47% while keeping each channel's annual budget unchanged. The tradeoff was a 3.42% loss in channel-driven revenue, so use lighter phasing when that cost is too high.
Common sources of mobile friction that are missed by operators who only access the site on desktop.
Check Amazon's “About You” profile to see what the company has inferred about you.
Spotify is expanding audiobook access from 22 to 180+ markets by the end of 2026.
Sponsored
The wheel needed roads. Electricity needed the grid. Every leap forward has needed infrastructure underneath it. AI in finance is no different. Plaid [4] is the infrastructure that makes permissioned financial data not just accessible, but understood. A paycheck read as income, or an irregular pattern read as potential fraud. That understanding can't be prompted. It has to be built. Plaid's proprietary models are built to specifically understand financial behavior at scale.
While current AI agents act as standalone tools, future agents can develop network effects through acquisition and engagement loops. By turning artifacts into viral objects and building centralized identity layers, agent platforms could create winner-take-all dynamics.
Falling code generation costs and AI agent reimplementations have eliminated traditional software feature and UI moats. Defensibility has shifted toward accountability, proprietary data, regulatory trust, hardware coupling, and customer outcomes, forcing companies to focus on operational moats and server-side APIs.