Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: Using the provided reference images, keep the authentic Sonoran Desert trail setting, midday Arizona lighting, brown wooden post and ranger-style sign construction, but replace the sign header with bold all-caps ‘META’ followed by trail entries like ‘← Llama Loop ………… 2.4 mi’ and ‘Open Source Overlook → .. 4.1 mi’ and ‘← Reality Labs Ridge …. 7.0 mi’, with a small infinity-loop emblem replacing the WP3 medallion, and place a pair of sleek black smart glasses resting naturally on top of the wooden post as if a hiker set them down, saguaros and the wide valley visible beyond. Photorealistic documentary photography, warm natural light, weathered sign surface, no floating elements.
Meta prepares Hatch AI Agent with waitlist and social skills
https://www.testingcatalog.com/meta-prepares-hatch-agent-under-waitlist-and-social-media-skills/
Meta is planning to power its AI data centers with solar energy beamed from space. If it works, solar farms could produce power 24/7 without batteries or backup generators. The company behind it all is Overview Energy — they want to launch 1,000 satellites into orbit, 22,000
https://x.com/rowancheung/status/2051320518905930208
Meta buys robotics startup to bolster its humanoid AI ambitions | TechCrunch
Meta buys robotics startup to bolster its humanoid AI ambitions
Meta is making a serious push into AI for humanoid robots Meta has acquired ARI, a robotics AI startup, to accelerate its humanoid technology efforts. The deal closed today; financial terms were not disclosed. The ARI team (including co-founders and staff from San Diego and New
https://x.com/TheHumanoidHub/status/2050340597685518461
🧠 Introducing NeuralBench: a unified, open-source framework to benchmark NeuroAI models. v1.0: 36 EEG tasks, 94 datasets, task-specific + foundation models. MEG/fMRI ready. MIT-licensed, FAIR’s Brain & AI @AIatMeta. Code:
https://t.co/WdROYdjjNY Paper:
https://x.com/hubertjbanville/status/2052029372282888234
1) Our team at Meta has a tough new coding benchmark challenging models to code entire programs including ffmpeg and the PHP compiler from scratch. 2) Top accuracy is 0% 3) We will be making the benchmark harder.
https://x.com/OfirPress/status/2051678633035809159
Banger paper from Meta FAIR. They introduce Autodata, an agentic data scientist that builds high-quality training and evaluation data autonomously. The headline result: on a CS research QA task, an Agentic Self-Instruct loop produces a 34-point gap between weak and strong
https://x.com/dair_ai/status/2051311905353142328
Cool paper from Meta FAIR. It’s on self-improving LLMs but on the pretraining side. (bookmark it) Most LLM safety, factuality, and reasoning fixes get bolted on at post-training. By then, the patterns have already set. This work moves those behaviors into pretraining itself.
https://x.com/omarsar0/status/2050213732970848664
AI contenders vs AI pretenders in enterprise comes down to reliability
https://x.com/alexandr_wang/status/2052056038648779013
Alphabet gains on report that Anthropic’s committed to spending $200 billion on cloud services over the next 5 years – Sherwood News
https://sherwood.news/markets/alphabet-gains-on-report-that-anthropics-committed-to-spending-200-billion-on-cloud-services-over-the-next-five-years/
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