AI News Archive - Browse Page 33 of 160
Browse AI news articles covering LLMs, tools, research, and industry trends
Elon Musk testifies in OpenAI trial, referencing USD 38 M early investment
Elon Musk took the stand Thursday, fielding questions about his role in the nonprofit‑turned‑capped‑profit venture that now powers ChatGPT.
LLM using pre‑1930 sources draws on etiquette manuals, cookbooks for post‑training
Why does a model that stops learning in 1930 still manage to hold a conversation about 2026?
Google widens Pentagon AI access after Anthropic labeled a supply‑chain risk
Google has broadened the Department of Defense’s window into its AI suite, extending the reach that was previously limited to a handful of models.
NVIDIA BioNeMo wraps CPU layer with DistributedTriangleMultiplication
Why does the way BioNeMo handles a single computational layer matter for researchers modeling proteins or nucleic acids?
OpenAI releases 1.5B‑parameter privacy filter with 50M params, 128‑expert MoE
OpenAI just dropped a new open‑source privacy filter that claims a 1.5 billion‑parameter backbone while only 50 million parameters are ever active...
Meta FAIR releases NeuralSet: for fMRI, M/EEG, spikes, HuggingFace embeddings
Meta’s FAIR lab just put a new tool on GitHub that could change how researchers stitch together brain‑recording data.
MIT-IBM Computing Research Lab launches, funding over 500 students, and postdocs
Why does a joint MIT‑IBM lab matter beyond the headlines? While the partnership touts cutting‑edge AI and quantum‑computing research, its real impact...
Moonshot AI releases FlashKDA with CUTLASS kernels, batching, H2O benchmarks
Moonshot AI just pushed another piece of its open‑source toolkit onto GitHub: FlashKDA.
Alibaba's Metis agent cuts redundant AI tool calls to 2% and boosts accuracy
Alibaba’s Metis agent has slashed needless AI‑tool invocations from almost every request—98 % of calls—to a tidy 2 %, while nudging overall...
AI engineers abandon LangChain for native agents amid hidden complexity
AI engineers are increasingly swapping the popular LangChain framework for home‑grown agent architectures, and the shift isn’t just a buzzword trend.
DeepSeek unveils new AI breakthrough as nation tightens grip on departing firms
DeepSeek opened its doors to the public on Friday, rolling out a preview of the V4 family and making both versions downloadable through its platform...
Chinese AI startups drop offshore registration amid regulator IPO warning
Chinese AI firms that once relied on offshore shells are now filing home‑grown paperwork, a move that signals a deeper recalibration of how these...
Cursor launches public beta of TypeScript SDK for coding agents
Developers who’ve been tinkering with AI‑assisted development tools now have a more direct route to the guts of one of the sector’s most talked‑about...
Poolside AI launches Laguna XS.2 and M.1, hitting 72.5% on SWE-bench Verified
Poolside AI’s latest rollout adds two agentic coding models—Laguna XS.2 and M.1—to its growing portfolio.
Oracle abandons its legacy, pivots to AI in an unconventional approach
Oracle’s name has been tied to on‑premise databases and sprawling ERP suites for decades.
Runway raises USD 860M, valued at USD 5.3B, eyes world models after AI video
Why does Runway’s latest fundraising matter beyond the headline numbers? The startup, which built its reputation on AI‑generated video, just closed a...
White House drafts action to lift Pentagon’s Anthropic risk label
In recent weeks the White House has drafted a measure that would effectively override the Defense Department’s current risk label on Anthropic.
Unified Multi-Agent AI Automates End-to-End ML Pipeline Generation
Building a machine‑learning model still means stitching together data cleaning, feature engineering, model selection and deployment—often a...
Microsoft, OpenAI end pact; OpenAI can now sell on AWS and Google Cloud
Microsoft’s long‑standing cloud exclusivity with OpenAI is over. The two firms have untangled their partnership, opening the door for OpenAI’s models...
New Architecture Separates Execution and Review Agents for Tool-Calling
Tool‑calling agents have become a staple in recent AI research, yet their reliability often hinges on how they handle mistakes during execution.