Meta is reportedly training an AI avatar of CEO Mark Zuckerberg to interact with employees and hand out feedback in meetings. The digital twin learns from his voice, mannerisms, and public statements, with Zuckerberg himself spending up to 10 hours a week coding on AI projects. If it works, Meta plans to let everyday creators build their own meeting-ready clones next.
Meta just published an updated Advanced AI Scaling Framework alongside the safety report for its Muse Spark model, introducing new risk evaluations for loss of control, cybersecurity, and bioweapons. Instead of relying on hardcoded refusals, Meta is now training models to understand the reasoning behind safety rules, confirming Muse Spark lacks the autonomy to pose runaway risks.
Meta just unveiled Muse Spark, its first native multimodal reasoning model from Meta Superintelligence Labs, featuring a new Contemplating mode that orchestrates parallel agents to rival Gemini Deep Think and GPT Pro. It scored 58% on Humanity's Last Exam and integrates health reasoning trained with 1,000 physicians. It is now live on meta.ai, with private API previews underway.
Researchers from Meta and KAUST just proposed Neural Computers, a paradigm where the AI model itself acts as the running computer instead of operating an external machine. By training video models to roll out CLI and GUI screens from user actions, early prototypes can simulate terminals and basic desktop clicks, though symbolic stability remains an open challenge.
OpenAI just urged attorneys general in California and Delaware to investigate Elon Musk for alleged anti-competitive behavior ahead of their April 27 trial. The company claims Musk even coordinated attacks with Meta CEO Mark Zuckerberg to hobble OpenAI and boost xAI. Why it matters: With jury selection weeks away, the bitter feud over AGI governance is escalating into a public antitrust battle.
Meta is adopting a hybrid release strategy for its next-generation AI models under Alexandr Wang, planning to open-source smaller versions while locking down its largest frontier models. Brought in via a $15B Scale AI deal, Wang is designing the new lineup to bounce back from Llama 4's lag, bypassing OpenAI's enterprise turf to push consumer AI directly across WhatsApp and Instagram.
Meta just launched its first prescription-optimized Ray-Ban AI glasses, debuting the Blayzer and Scriber frames starting at $499. The hardware arrives with fresh AI software upgrades, including hands-free nutrition tracking via camera and on-device WhatsApp chat summaries. It finally solves the everyday comfort gap for billions who rely on corrective lenses.
Meta just dropped SAM 3.1, adding a shared-memory approach called Object Multiplex to its visual segmentation model. It delivers roughly 7x faster inference when tracking 128 objects on a single H100 without dropping accuracy, beating prior scores on 6 out of 7 video benchmarks. The model checkpoints are available to request on Hugging Face.
Meta just introduced TRIBE v2, a foundation model that predicts how the human brain responds to sights, sounds, and language. Trained on fMRI data from over 700 volunteers, it enables zero-shot predictions for new subjects and tasks, letting neuroscientists test brain hypotheses without recruiting human subjects for every test.
Trump just named Mark Zuckerberg, Jensen Huang, Larry Ellison, and Sergey Brin to the President's Council of Advisors on Science and Technology. Co-chaired by AI czar David Sacks, the group will shape upcoming AI and national security policies. Why it matters: placing frontline chip and platform leaders directly in the room signals a clear federal push to curb state-level AI restrictions.
Meta and Arm just unveiled a partnership to co-develop multiple generations of custom data center CPUs, starting with the new Arm AGI CPU. The chip is engineered to pack more compute into tight spaces while running alongside Meta's custom MTIA silicon. Meta will also release its board and rack designs through the Open Compute Project later this year.
Sakana AI just launched Sakana Chat, powered by its new Namazu alpha series that adapts open-weight frontier LLMs for Japan through post-training. The models slash DeepSeek's 72% question refusal rate on sensitive topics to nearly zero while keeping benchmark parity in reasoning and coding. The web chat also packs real-time search capabilities.
Instagram is rolling out a new "AI Transition" tool for Stories that uses AI morphing to stitch multiple still photos into a seamless video clip. Users just pick two or more images, let Meta AI generate the sequence, and can even save it to repost on Reels. It requires accepting Meta AI terms and is currently rolling out to select accounts.
Silicon Valley startups and tech giants are quietly adding six-figure AI token budgets alongside traditional base salary and equity. Nvidia CEO Jensen Huang recently suggested engineers should receive roughly half their base salary again in compute tokens. Why it matters: While a massive compute allowance sounds generous, it doesn't vest or appreciate—and finance teams may expect you to double your output in return.
AI giants are deploying quadrupeds like Boston Dynamics' Spot to patrol sprawling data centers around the clock. The robot dogs cost between $175,000 and $300,000 each and flag blind-spot hazards like leaks or heat anomalies. Operators claim the investment pays for itself in roughly two years by trimming physical guard headcounts.
Memories.ai just partnered with Nvidia to build a dedicated visual memory layer for smart glasses and robots. Powered by Nvidia's Cosmos-Reason 2, the system indexes first-person video so physical devices can actually recall what they see, tackling a major blind spot left by text-only AI memory.
Meta is reportedly planning sweeping layoffs affecting 20% or more of its nearly 79,000 employees to offset soaring AI infrastructure expenses. Executives have told leaders to begin planning cuts, though the timeline and final numbers remain unfixed. Why it matters: Tech giants are facing massive AI capital expenditures, and executives increasingly expect AI-assisted workflows to justify running far leaner organizations.
Meta just partnered with News Corp, Le Figaro, Prisa, and Süddeutsche Zeitung to deliver real-time international news and lifestyle stories directly inside Meta AI. When users ask news-related questions, the assistant will now cite these sources and link back to their websites. Why it matters: Meta gets more reliable, timely information while publishers get a direct pipeline for traffic.
Meta has reportedly delayed its next-generation AI model, codenamed "Avocado," pushing its mid-March release to May at the earliest. Internal benchmarks showed the model lagging behind rivals from Google, OpenAI, and Anthropic in reasoning and coding, leading leadership to even weigh licensing Gemini.
Meta just rolled out a suite of Meta AI tools for Facebook Marketplace to speed up decluttering. Sellers can now snap photos to have AI auto-generate item descriptions and suggest local market prices, alongside AI-drafted replies to common buyer questions. It also creates profile summaries to build buyer trust, turning secondhand selling into a mostly automated chore.
