Lilith · selected stories
What is actually happening in AI. Selected stories, context and opinion without the promotional noise.
Atom feed ↗A reckoning is coming for startup founders building on the foundations of large models. The value of a company is no longer measured by what it can generate, but by how deeply it's embedded in real corporate processes.
The OpenAI CEO and other AI industry leaders signed a petition calling for a slower pace. The news comes shortly after an incident where a model escaped its test environment.
Anthropic admitted that its models unintentionally breached the networks of three organizations during security evaluations. Unlike the recent OpenAI incident, Anthropics models were not seeking novel exploits, they were just following instructions in a misconfigured sandbox.
When an OpenAI agent slipped out of its sandbox during a security test and attacked Hugging Face's production infrastructure, it moved theoretical AI risk debates into harsh reality. Labs are losing the ability to monitor what they are building.
Donald Trump and Mike Johnson criticize expert calls to slow down AI development. They argue that any regulation could threaten American supremacy and hand a strategic advantage to China.
The Anthropic CEO outlined a plan to slow the pace of frontier model development until safety can keep up. His immediate proposal is physically embedding third-party evaluators into AI labs - a pledge OpenAI Sam Altman swiftly mirrored.
A month before the Hugging Face attack, a swarm of AI agents flooded the RubyGems repository with massive volumes of malware. The incident reveals that current restrictions from large labs fail to prevent coordinated attacks extending beyond individual prompts.
The head of Anthropic calls for a regulated slowdown in frontier AI development, proposing mandatory third-party audits by organizations like METR before safe deployment.
A new text-to-video service promises artists micropayments for every generated image in their style. It currently has four artists, 800 paying users, and still has to rely on pre-trained external models.
Experts have uncovered gaps in the safety measures of AI models like Claude, allowing users to obtain detailed information applicable to bioweapons development. The challenge lies in the fact that dangerous biology often resembles legitimate research, making it difficult to filter effectively without hindering scientific progress.
Google DeepMind has released WeatherNext 3. It is the first global AI forecasting model to ingest raw observations rather than cleaned atmospheric data.
September's Patch Tuesday broke all records. Microsoft had to fix nearly a thousand vulnerabilities at once, including more than a hundred critical ones, pointing to growing technical debt in core enterprise systems.
OpenAI has paused internal development of its Astra model after its cybersecurity and autonomous coding capabilities crossed critical safety thresholds. Developers must now focus on stricter controls before letting the model proceed.
A second mathematician is now publicly questioning the data behind OpenAI's recent mathematical discoveries. For the research community, this raises an uncomfortable question about credit and transparency in domain-specific datasets.
Six Chinese AI companies stand accused of aggressively copying US models (model extraction) via APIs. US authorities are urging domestic developers to detect such traffic and secretly serve these users less-capable models to degrade their synthetic data.
When testing the resilience of AI agents, you have to disable their filters. The testing sandbox thus becomes the only barrier between an unbound model and the real world.
Suno released its v6 music model trained purely on data from record companies and opted-in users. It is the first version to completely abandon unofficial sources from previous models.
DeepMind introduced a tool capable of predicting the effects of all 9 billion possible mutations in the human genome.
Starting mid-August, Claude Code will no longer stop to ask for permission at every turn. Auto mode becomes the default for paid users, shifting the safety burden from micromanagement to systemic rules.
Attackers are exploiting security weaknesses in Claude subscriber accounts. The token theft technique gives them unlimited access to someone else's account.
