ZeroSlop — September 1, 2026
Today: ‘If you build something vastly smarter than you, it…; Doxxing Safety Part II: Incident Response; Harvard Law dropout raises $6M for Blue Voice to build…
12 stories worth knowing about today — AI breakthroughs, launches, and innovations making a difference.
1. ‘If you build something vastly smarter than you, it better be on your side’: can we stop AI from deceiving us?
The Guardian Tech
We are used to the idea that our fellow humans might intentionally mislead or manipulate us, but the idea that machines can now do the same is deeply unsettling. Researchers are racing to find solutions before it’s too late The summer issue of the Long Read magazine is out now. Click here to order I…
2. Doxxing Safety Part II: Incident Response
EFF Updates
Doxxing, also known as the deliberate sharing of personal information to harass or endanger someone, is a tricky thing to protect against. It often happens by some ill-intentioned person accessing publicly available information, then sharing that information more widely in the hopes it will intimida…
3. Harvard Law dropout raises $6M for Blue Voice to build a ‘Harvey for police officers’
TechCrunch AI
Blue Voice is trained on department-specific laws, local ordinances, protocols, and guidelines that general-purpose AI tools can’t access on the public internet….
4. Google AI Releases TimesFM-3: A 330M Parameter Zero-Shot Foundation Model For Multivariate Time Series Forecasting
MarkTechPost
Google Research has released TimesFM-3, a 330 million parameter time series foundation model that forecasts multiple related series in a single forward pass. Unlike every TimesFM checkpoint through 2.5, it is pretrained natively for multivariate forecasting, accepting multiple targets, past covariat…
5. Google AI Introduces EnvHarness: A Programmable Layer That Turns Static Agent Environments Into Adaptive Training Worlds
MarkTechPost
Google Cloud AI Research, with Washington University in St. Louis and UNC Chapel Hill, has released EnvHarness, an Apache-2.0 layer that turns a static agent benchmark into one that adapts to the policy training on it. It wraps a frozen environment through the standard reset()/step() interface, so t…
6. How engineered microbes could help feed the world’s crops
MIT Tech Review
Fertilizer is crucial for the global food supply, but making it uses a lot of energy and produces a lot of emissions. Some companies hope microbes can help. A growing body of research shows that seeding the soil around a crop’s roots with beneficial microbes can help feed the plant, providing crucia…
7. The Hugging Face hack could indicate cultural issues at OpenAI
MIT Tech Review
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. By now you’ve probably heard about last month’s major AI security incident, in which OpenAI agents escaped their sandbox and hacked into the AI platform Hugging F…
8. The Pentagon now has its own version of ChatGPT and Grok
TechCrunch AI
Versions of OpenAI’s ChatGPT and SpaceXAI’s Grok will join Google’s Gemini on the Pentagon’s central portal for AI tools….
9. A 12TB Steam ‘Teraleak’ Spills More Than a Decade of Lost PC Gaming History
Slashdot
A massive 12TB archive of old Steam2 content has surfaced online, apparently containing nearly every version of games uploaded to Valve’s servers between 2003 and 2013, including unreleased prototypes, playtest builds, and cut content. Early discoveries include deleted Portal 2 material, files tied …
10. OpenClaw Releases OpenClaw 2.0: Guided Model Setup, 575 ms Control UI Startup, and One Trust Boundary Per Gateway
MarkTechPost
The OpenClaw Foundation has released v2026.8.1, which the project calls OpenClaw 2.0: 933 contributors, 569 first-timers, and more than 16,000 pull requests, roughly half of every PR ever merged into the repo. Setup now reuses existing subscriptions, API keys and local models. The rebuilt Control UI…
11. Credo: Reusable Declarative Primitives for Agentic Workflows
arXiv CS.AI
arXiv:2608.27790v1 Announce Type: new Abstract: An LLM application depends on both a model and a harness: the program that determines what each call sees, how many calls to make, and which answers to trust. Coding agents can now discover strong harnesses by searching over candidate programs, but th…
12. AcCoRD: Evaluating User-Agent Collaboration Under Realistic User Preference Dynamics
arXiv CS.AI
arXiv:2608.27818v1 Announce Type: new Abstract: User preferences in user-agent collaboration are rarely static and fully-specified upfront: preferences are formed, revealed, adjusted, and relaxed during interaction. Existing benchmarks for evaluating user-agent collaboration focus almost exclusivel…