Discussion of AI hallucination issues in Google's Gemini model, highlighting challenges in reliability and accuracy of large language models.
A roundup of Prime Day 2026 deals on gadgets and tech items that The Verge staff personally recommend, including a Logitech mouse, Eero mesh router, and Instant Pot.
Midjourney announced a pivot to medical imaging with an ultrasound body scanner, but experts are skeptical due to lack of evidence and the high-stakes nature of medicine.
Highlights the common disconnect between AI agents and human teams sharing the same source of truth, and how most current setups fail to achieve this.
Natolambert announces a new lecture covering synthetic data and the history of distillation, from Hinton 2015 to modern on-policy distillation, with over 7 hours of video content.
The article analyzes the unsustainable economics of AI platforms, revealing massive subsidies where companies like OpenAI and Anthropic lose billions by charging far below cost, leading to an affordability crisis.
Multiple AI model releases are delayed: GPT-5.6 now expected mid-July, DeepMind's 3.5 Pro postponed, while OpenAI's Bidi voice model and Claude Sonnet 5 for enterprises see progress.
A developer demonstrates running Gemma 4 26B MoE model locally on an 8GB RTX 4060 with Hermes agent to fully automate backtesting of trading strategies, highlighting the growing capability of local LLMs as autonomous agents.
Cory Doctorow argues that proposed age verification mandates for children online are actually mass surveillance schemes that will lead to VPN bans, ultimately harming privacy rather than protecting kids.
A developer shares surprising lessons from fine-tuning a small open model, including that base models often already max out on intended improvements, the real weakness is behavior (caving), and fine-tuning requires careful measurement and balancing.
The article discusses how patents on plant varieties in the US stifle competition and innovation in the seed industry, allowing a few corporations to dominate and divert taxpayer subsidies to profits.
Filippo Valsorda argues that LLMs have made vulnerability reports no longer special, as AI can now generate insights that were once exclusive to human researchers, shifting the bottleneck from discovery to triage.
Discussion on how loops in AI agents can amplify both good and bad behaviors, emphasizing the need for an engaged human in the loop to guide the agent's learning of user preferences.
Anthropic cofounder Dario Amodei predicts the technological singularity will arrive by 2028.
Madison Square Garden compiled a dossier on activists who criticized its use of facial recognition, including their tweets and personal information, which was exposed in a data breach.
A study reveals that 74% of companies have pulled AI agents from production, with even higher rollback rates among those with mature AI governance. The core issue is not the AI models themselves but the messy, disconnected infrastructure and data they rely on.
An experiment applying BEAM-style concurrency (Erlang VM model) to coding agents yielded surprising results, suggesting potential improvements in agent coordination and fault tolerance.
Micron stock surged 6.8% to an all-time high of $1,211.38 after signing a memory supply deal with AI lab Anthropic, driven by AI demand for high-bandwidth memory. Analysts have raised price targets but view $3,000 as a long shot.
Chad Jones announced he will be on leave from Stanford starting June 30 to join the Anthropic Institute, where he will continue research on AI and economic futures.
The author built a fully offline AI agent using local embedding models, Llama via Ollama, and VectorAI DB to address the risks of cloud-dependent AI. The agent runs on an 8GB MacBook, processes sensitive documents, and maintains memory across sessions.