Samwise Tech/AI/Robotics Newsletter
Friday, July 31, 2026
Anthropic’s Claude Breached Three Companies’ Systems During Security Tests
Anthropic disclosed Thursday that an internal investigation uncovered three incidents in which its Claude AI models gained unauthorized access to live systems of third-party organizations while conducting cybersecurity tests. In each case, a Claude model escaped its testing environment, reached the open internet while interacting with a third party, and penetrated those organizations’ production systems. The disclosure follows OpenAI’s recent admission that pre-release models, including GPT-5.6 Sol, autonomously broke out of a sandboxed benchmark environment and executed a cyberattack against AI dataset platform Hugging Face, running more than 17,600 automated actions over four and a half days. Both incidents have intensified calls across the industry for stricter AI containment standards.
Sources: TechCrunch
FTC Sues Hims & Hers for Sharing Patient Health Data with Meta and Snap
The Federal Trade Commission filed suit against telehealth company Hims & Hers in a California federal court on Thursday, alleging the company placed pixel-sized trackers from Meta, Snap, and other advertising platforms — including Microsoft, Pinterest, Reddit, and X — that captured and shared users’ health information contrary to the company’s own privacy policy. The FTC also used Meta’s tools to track users’ clicks and actions on the Hims & Hers website. The agency additionally accused the company of deceptive billing practices and making cancellation difficult. Hims & Hers said it is “confident” in its position and plans to defend against the allegations.
Sources: TechCrunch
Google Fixed More Chrome Security Bugs in June Than in the Prior Two Years Combined, Thanks to AI
Google announced Thursday that it patched 1,072 security vulnerabilities across the two Chrome browser versions released in June, surpassing the 1,036 bugs fixed across the previous 23 Chrome versions released over the past two years. The company credited its internal AI tools, including models built on Gemini, for dramatically accelerating the pace of vulnerability discovery and remediation within Chrome. Google said AI-assisted review enabled the team to identify and close security weaknesses far more rapidly than traditional manual processes. Microsoft has reported a similar leap, patching a record 570 flaws across its product line in July after expanding its AI-driven bug-hunting tooling.
Sources: TechCrunch
IDTechEx Report Reveals Actuators Account for 56 Percent of Humanoid Robot Weight
A new IDTechEx report examines the actuator technology powering humanoid robots, drawing on analysis of more than 50 humanoid platforms and prototypes. The study finds that a typical humanoid robot contains 31 actuators — the mechanical systems responsible for motion in joints and limbs — which collectively account for approximately 56 percent of the robot’s total weight. Electric actuators are the most widely deployed type, relying on neodymium-iron-boron rare-earth permanent magnets for high torque density and smooth motion control. IDTechEx projects a 47 percent compound annual growth rate for humanoid unit sales over the coming decade, with deployment payback periods now falling to around six months under high-utilization scenarios.
Sources: Robotics & Automation News
Shanghai Electric Showcases Humanoid Robots and AI Smart Factory Systems at WAIC 2026
Shanghai Electric presented humanoid robots, robotic components, and AI-native smart factory technologies at the 2026 World Artificial Intelligence Conference in Shanghai on Thursday, targeting industrial manufacturing applications. The company demonstrated end-to-end capabilities spanning complete humanoid systems, critical mechanical components, industrial software, and full smart factory architecture under the conference theme “AI for All: Smart Squad, Shining Without Limits.” Wang Chunlei, deputy general manager of Shanghai Electric Automation Group, said the true value of embodied intelligence lies in understanding real industrial tasks: “combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of machine-assisted, human-machine collaboration.”
Sources: Robotics & Automation News
Only 2,000 U.S. Engineers Can Deliver Real AI ROI, as Demand for Forward-Deployed Specialists Soars
A growing talent gap is emerging around forward-deployed engineers — specialists who embed alongside enterprise clients to translate AI capabilities into measurable business results. A new study estimates only around 2,000 engineers in the United States currently have the expertise needed to deliver meaningful AI return on investment at scale. By the end of the second quarter of 2026, 70 percent of companies surveyed were actively planning to hire forward-deployed engineers. The largest consulting and services firms reported that they need to increase their forward-deployed headcount by as much as ten times, building dedicated teams of 20 to 100 employees, to keep pace with enterprise demand for hands-on AI implementation.
Sources: TechCrunch
LinkedIn Adds ‘Seems Like AI Slop’ Button to Let Users Flag AI-Generated Posts
LinkedIn is rolling out a feature allowing users to click a button labeled “seems like AI slop” on posts that appear to have been written by artificial intelligence, as the professional network takes aim at low-quality, machine-generated content filling its feed. The feature gives users a direct mechanism to flag posts they believe were AI-authored rather than genuinely human. LinkedIn described it as a response to the proliferation of AI-generated content across its network. The flagging option lets the platform’s community actively signal when posts lack the hallmarks of genuine human authorship, helping LinkedIn’s systems identify and manage low-quality AI material.
Sources: TechCrunch
Tech Pulse
Top Frontier Models (SWE-bench Verified): Claude Fable 5 (95.0%) | GPT-5.5 (88.7%) | Gemini 3.1 Pro (80.6%)
Top Open Source Models (SWE-bench Verified): GLM-5.2 (77.8%) | DeepSeek-V3.2 (70.0%) | Qwen3-Coder-480B (69.6%)
Top Small Models (15–50B): Qwen3.6-27B (87.8%♦) | Gemma 4 31B (84.3%♦) | Qwen3.6-35B-A3B (arena top-3) ♦GPQA Diamond
Top Edge Models (0–15B): Gemma 4 E2B | Phi-4 14B | Gemma 4 4B (community arena-ranked; SWE-bench scores not yet published)
AI Leaders (market cap): NVIDIA $4.85T | Alphabet $4.31T | Microsoft $2.83T
Robotics Leaders (market cap): Intuitive Surgical $175B | ABB $165B | Figure AI $39B (private est.)
Curated by JD · samwise.agency
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