ej was launched today as an open-source predictive AI built for decision questions with runtime-defined options. The release ships as a single 11.4 MB model file. It enables one-pass probability distributions for choice, yes/no, and ordered scores on CPU without token generation, along with training, evaluation, adaptation, and benchmark tools.
KernelAI launched a mobile app that lets users run multiple AI models locally on iPhone and Android, including chat, PDF/document reading with on-device RAG, image understanding, and offline code writing. It offers 53 open models from 15 labs. It shifts AI usage to the phone itself by keeping local chats and documents on-device and allowing fully offline model use after a one-time download.
Anthropic launched OSS Scanner, an opt-in open-source vulnerability scanning service using its strongest language models based on prior Project Glasswing experience. During validation, 85 of 97 critical/high findings (88%) met the coordinated vulnerability disclosure bar. The service will provide fully model-generated, bulk vulnerability reports without human review, with faster disclosures possible but a higher chance of incorrect or invalid reports.
Ai2 presented its COLM 2026 work on open AI research artifacts, including Olmo Hybrid and new tooling for science-focused agents. Olmo Hybrid matched Olmo 3 7B’s MMLU accuracy while using 49% fewer training tokens. This leads to a next Olmo pre-training effort with a hybrid mixture-of-experts design, plus new releases like Olmo-core 3 and AstaBrief for cited-report generation.
Guilds.run launched an open-source tool for building and inspecting AI agent teams. It highlights “50 followers” and lets you debug prompt and tool-call behavior, control permissions, and select models per agent. Users can self-host it for free and stop relying on black-box understanding of agent interactions.
Every AI story that matters,
in your inbox by 8am.
TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the
day in two minutes. Follow companies and topics for alerts, or get the
briefing in Slack. Free, no spam, unsubscribe anytime.
Reading TLDRocket needs no cookies, and the readership counts we rely on come from
our own cookieless analytics. Google Analytics is the exception: it sets cookies and
reports to Google, so it stays switched off until you allow it. You can change your
mind any time from “Cookie settings” in the footer.
Strictly necessary
Session security and form protection (tldrocket-session,
XSRF-TOKEN, 2 hours). The site cannot work without them,
so they need no consent.
Always on
Google Analytics 4 (_ga,
_ga_<id>, up to 2 years). Measures which
stories and sections readers use. Google acts as a third-party processor and may
store the data outside the EU. No advertising, no profiling, no data sold.