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Founders seize on Indian court ruling to revive criticism of Google’s ad business

The ruling drew support from founders, while lawyers said it could force platforms to revisit how they handle trademarked keywords.

I went to the so-called ‘steroid Olympics,’ to understand why Silicon Valley is obsessed with peptides

The Enhanced Games — a singular sporting competition where a majority of the athletes were on performance enhancing drugs — may herald a new business model that the tech industry is ready to embrace.

The AI agent bottleneck isn't model performance — it's permissions

Enterprise AI agents are stalling — not because of model performance, but because of permissioning. Every agentic workflow eventually hits the same wall: what is this agent allowed to touch, on whose behalf, and how does the system know?Workday's answer is to make its existing system of record the governance layer for agents. Gerrit Kazmaier, the company's president for product and technology, told VentureBeat in an interview that customers often struggle when they cobble together solu

SpaceX awarded $6.45B in Space Force contracts ahead of IPO

SpaceX already generated one-fifth of its 2025 revenue from government contracts, the company revealed in its IPO filing.

Coders are refusing to work without AI — and that could come back to bite them 

While AI is helping coders produce code faster, it may not be producing better code, researchers warn. And that could cause problems down the road for them. 

MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits.MeMo, a framework from researchers at multiple universities, encodes new knowledge into a dedicated smaller memory model that operates separately from the main LLM.The modular architecture works with both open- and closed-source models and sidesteps the complexity of RAG pipelines and full model retraining.E

So you’ve heard these AI terms and nodded along; let’s fix that

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.

What happens when companies become too AI-pilled?

The people deciding that AI can replace your job are also the ones least likely to understand what your job truly involves, according to Box founder Aaron Levie, who pointed to this as an example of “AI psychosis.” Indeed, ClickUp recently cut 22% of its workforce for AI agents, tech layoffs in 2026 are already nearly matching all of 2025, […]

Jeff Bezos suffers explosive rocket setback as Elon Musk pushes ahead with 34-minute London flights

Jeff Bezos has lost one of his rockets after the Blue Origin spacecraft exploded into flames during a takeoff test in the US.

Socialist Zohran Mamdani launches Elon Musk-style 'COGE' chaired by Soros-aligned Dem

New York City Mayor Zohran Mamdani takes a page from Elon Musk's DOGE playbook by launching his own city Commission on ...

Elon Musk predicts brain implant company Neuralink will soon yield 'Jesus-level miracles of science'

Elon Musk says his company Neuralink is on the cusp of introducing “Jesus-level sort of technologies.” ...

'I'm a fool' killer's chilling confession after stabbing student - as Elon Musk erupts

Vickrum Digwa was convicted of murdering student Henry Nowak, as Elon Musk branded UK police "disgusting excuses for law ...

Nicki Minaj Thanks Elon Musk for 'Everything' He's 'Doing for Humanity'

Nicki Minaj has shown some love to SpaceX founder Elon Musk during a visit to the Starbase facility for a planned Starship V3 ...

After Nvidia’s $20B not-acqui-hire, AI chip startup Groq reportedly raising $650M

Chipmaker Groq is looking to raise $650 million in internal funding as it pivots from hardware to focus more on AI inference, the process of refining the way AI models respond to prompted requests, per Axios. 

After Nvidia’s $20B not-aqui-hire, AI chip startup Groq reportedly raising $650M

Chipmaker Groq is looking to raise $650 million in internal funding as it pivots from hardware to focus more on AI inference, the process of refining the way AI models respond to prompted requests, per Axios. 

Microsoft under fire for threatening security researcher with criminal investigation

A public spat between Microsoft and an independent security researcher reopens a long-running debate over who is responsible for securing software.

Pinterest cut AI costs 90% by gutting a frontier model's vision layer

At 620 million monthly users, calling a frontier model for every image recommendation isn't a strategy — it's a bill. Pinterest CTO Matt Madrigal solved it by gutting Qwen3-VL's vision layer and rebuilding it with proprietary embeddings, cutting costs 90% and boosting accuracy 30%.Madrigal’s team has been heavily investing in customizing open-source models “foundationally in-house.” “If you've got really unique data that you can then fine-tune an open source model with, data

Cognition’s Scott Wu says AI coding agents shouldn’t replace humans

Cognition makes Devin, the first and arguably most successful AI coding agent. But famed coder Wu says it isn't designed to supplant human programmers.

ChargePoint partners with Powers Parts to fix the charging and support gap hitting electric transit fleets

ChargePoint and Powers Parts, a national distributor of electric vehicle components and fleet replacement parts, have announced a partnership to sell ChargePoint charging hardware, software, and fleet management services directly to transit agencies across North America. The deal targets operators running E2 and ZX5 electric buses built by PhoenixEV, the company that acquired Proterra’s transit bus […]This story continues at The Next Web

AI agents are entering their rebuild era as enterprises confront the reliability problem

As enterprise AI agents move into production, organizations are confronting a growing reliability problem. Many teams are discovering that LLM performance alone does not determine whether agents succeed in production. Long-running AI workflows must survive crashes, preserve state, recover from failures, manage inference costs, and coordinate across APIs, tools, and enterprise systems.After a first wave focused on rapid deployment, organizations now need to revisit those first-generation implemen