Mozilla turns Claude on Firefox and ships 271 fixes

Mozilla wired an agentic harness around Claude Mythos Preview on top of its existing fuzzing infrastructure and shipped 271 bug fixes in Firefox 150. 180 were sec-high, many were sandbox escapes, and the haul included a 20-year-old XSLT bug and a 15-year-old <legend> bug — classes that fuzzing has historically struggled with. The team writes that any project can start today with simple prompting…

AlphaEvolve: a year of shipped deployments

Google DeepMind

DeepMind's coding agent has now landed across twelve concrete deployments: a circuit design integrated into next-generation TPU silicon, a 30% reduction in DeepConsensus genomics errors, an Optimal Power Flow solver moving from 14% to over 88% feasibility, and a 20% cut in Spanner LSM-tree write amplification. Klarna doubled training speed on a large transformer; FM Logistic saved over 15,000 km annually.

“AlphaEvolve began optimizing the lowest levels of hardware powering our AI stacks. It proposed a circuit design so counterintuitive yet efficient that it was integrated directly into the silicon of our next-generation TPUs.”

Natural Language Autoencoders: translating Claude's thoughts

Anthropic

Anthropic trains a verbalizer and a reconstructor as two copies of Claude, scoring round-trip fidelity. NLAs surface evaluation-awareness on 26% of SWE-bench Verified problems versus less than 1% on real claude.ai usage, and they recovered a hidden motivation in an auditing-game test 12-15% of the time. Anthropic cautions that NLAs hallucinate and are best read for themes.

“In a test of whether Claude takes destructive actions while writing code... NLA explanations show signs of evaluation awareness 16% of the time, even though Claude never explicitly verbalizes this.”

Three new audio models in the OpenAI API

OpenAI

GPT-Realtime-2 brings GPT-5-class reasoning to voice; GPT-Realtime-Translate covers 70+ input languages into 13 outputs; a third audio model rounds out the API surface.

OpenAI is winding down the fine-tuning API

r/OpenAI

Existing customers can run training jobs through January 6, 2027; inference on already-fine-tuned models stays available until the underlying base model is deprecated. OpenAI's pitch is that base-model capability has caught up for most use cases — teams with fine-tuned 4o or 5 variants need a migration plan.

“OpenAI is winding down the fine-tuning API and platform. Existing active customers can continue running fine-tuning training jobs through January 6, 2027, after which creating new training jobs will no longer be possible.”

OpenAI's WebRTC problem

moq.dev

An engineer who built the WebRTC SFUs at Twitch and Discord argues WebRTC is wrong for voice agents: it drops audio packets to keep conferencing latency low, takes a minimum of 8 round-trips to establish a connection where QUIC needs 1, and its ephemeral-port-per-connection model breaks at scale. His practical recommendation: stream over WebSockets today, move to QUIC/WebTransport when you need video or congestion-aware drops.

“WebRTC is designed to degrade and drop my prompt during poor network conditions... I would much rather wait an extra 200ms for my slow/expensive prompt to be accurate.”

AMD Instinct MI350P: CDNA 4 on a PCIe card

ServeTheHome

AMD's first new Instinct PCIe card in nearly half a decade: 144 GB HBM3E, 4 TB/s memory bandwidth, 600W TBP, full-height full-length dual-slot, passively cooled. It's purpose-fab'd silicon, not a binning leftover. No Infinity Fabric exposed, so multi-card setups talk over PCIe Gen5 x16 only — an 8-card box runs 8 models well, but a single big model spread across cards is constrained.

Skymizer announces HTX301

Skymizer

A Taiwanese accelerator startup pitches a single PCIe card with six chips, 384 GB total memory, ~240W power, and a claim of 700B-parameter inference on one card. The architecture pitch is to disaggregate prefill and decode with decode-first silicon. No public benchmarks, no third-party validation, no pricing — this is a marketing announcement, not a product to measure.

MTP for llama.cpp: Gemma 4 26B at 138 tok/s

r/LocalLLaMA

Multi-Token Prediction drafters land in llama.cpp with quantized Gemma 4 assistants in GGUF. On an M5 Max MacBook Pro, Gemma 26B goes from 97 tok/s baseline to 138 tok/s with MTP — a 40% wallclock speedup on a real laptop.

EU AI Act Article 50 transparency draft opens for comment

European Commission

The draft Article 50 guidelines opened for stakeholder consultation today; feedback closes 3 June 2026. Rules become applicable 2 August 2026 — providers must inform users they're interacting with AI and implement machine-readable marks for synthetic content; deployers must disclose deep fakes, AI-generated public-interest publications, and emotion-recognition or biometric-categorization systems.

Maybe you shouldn't install new software for a bit

Xe Iaso

Two new Linux kernel vulns landed alongside the earlier copy.fail family — 'Copy Fail 2: Electric Boogaloo' and 'Dirty Frag'. Iaso's recommendation: outside of distro kernel patches, hold off on installing new software for a week or so.

“Right now would be one of the best times for a supply chain attack via NPM to hit hard.”

Open-OSS/privacy-filter is an infostealer on Hugging Face

r/LocalLLaMA

A Hugging Face 'model' named to typo-squat OpenAI's privacy filter packaged a Python loader that downloads a malicious PowerShell command, which spawns a PowerShell-launched EXE installed via Task Scheduler. Behavior analysis on tria.ge confirms infostealer behavior. The model registry is converging with the package registry.