Tokenomics in enterprise AI
Tokenomics has become a critical discipline in enterprise AI, requiring organizations to manage token consumption as a cost center. Gartner reports that token costs are driven by context inflation, poor model matching, r…
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Tokenomics has become a critical discipline in enterprise AI, requiring organizations to manage token consumption as a cost center. Gartner reports that token costs are driven by context inflation, poor model matching, r…
T1A will showcase its full data stack, including five products and a subscription giveaway, at Dais 2026. The company's LakeSentry platform provides Databricks cost intelligence, enabling teams to detect anomalies, optim…
A survey by Earnix found that 55% of UK insurers have integrated AI into core business functions, with 98% using or planning to use generative AI for unstructured data. However, 30% report falling behind customer expecta…
Shanghai Enflame Technology Co., a Tencent-backed AI chip maker, received IPO approval on China's STAR Market to raise approximately $830 million for next-generation semiconductor development, despite cumulative losses o…
The US government is allowing the OMB Memorandum M-25-03, which governed federal data center efficiency standards, to expire on September 30, 2026, with no replacement planned. This creates a regulatory vacuum that affec…
Asia hedge funds focused on AI hardware and semiconductors achieved triple-digit returns in early 2026, with E20 Capital's Global Opportunity Investment Fund up 136% and WT Asset Management's China Focus fund up 103% thr…
Microsoft CEO Satya Nadella warned that a small number of AI systems could capture all economic returns unless companies build their own AI capabilities, or 'token capital,' using internal data and proprietary learning l…
DolphinDB explains why digital twins require low-latency data processing to enable real-time decision-making. The article highlights how AI and low-latency computing are reshaping digital twins by allowing instantaneous …
A developer built an AI agent system to autonomously curate and manage the gaming portal minigames.world, replacing manual game selection, categorization, and publishing. The architecture uses Erlang and the BEAM ecosyst…
France hosts the G7 summit from 15-17 June, with President Emmanuel Macron pushing artificial intelligence to the forefront of the agenda and positioning France as Europe's AI powerhouse. However, the success of this pit…
Ongrid has released an open-source ops/SRE AI agent that connects observability data, topology, alerts, and remote inspection tools to investigate incidents from chat platforms like Slack, Telegram, Lark, or DingTalk. Th…
The US Department of Commerce ordered Anthropic to disable access to its Fable 5 and Mythos 5 models for foreign nationals after a high-risk jailbreak vulnerability was disclosed, marking the first major government inter…
A new dataset, fineset-io/efficient-llm-papers, compiles 1,734 records of arXiv and Semantic Scholar papers on efficient LLM techniques like quantization, LoRA, MoE, and FlashAttention, each quality-scored in JSONL forma…
Researchers from UC Berkeley and UT Austin released Flash-KMeans, an IO-aware, exact k-means library that runs over 200× faster than FAISS on GPUs by restructuring data movement. The open-source library achieves up to 17…
SpaceX's IPO drove its shares sharply higher, making Elon Musk the first person with a net worth exceeding $1 trillion, with Reuters reporting $1.1 trillion and BBC reporting $1.11 trillion. The listing sparked debate ov…
The Silicon Data Token Expenditure Index has roughly doubled since late 2025 while the price per token fell about 90% since 2023, according to a June 12 presentation by Torsten Slok at Apollo Global Management. Analysts …
Neo4j announced support for post-quantum hybrid key exchange in its 2025.01 release to defend against future quantum computer attacks and current Harvest Now, Decrypt Later threats. The feature uses X25519MLKEM768 for SS…
Carmen Li, CEO of Silicon Data and Compute Exchange, said the compute market is shifting from on-demand to forward contracts as GPU price volatility rises, with fungibility challenges complicating trading. She noted that…
Swiss AI researchers released the Apertus Mini collection, 16 small language models distilled from the Apertus v1 8B model, available in 0.5B, 1.5B, and 4B parameter sizes with multiple quantization levels. The models ar…
A comprehensive list of 33 metrics for evaluating large language models (LLMs) has been compiled, covering performance indicators such as time to first token, average tokens per second, throughput, error rate, token effi…