Microsoft Signed a 20-Year Gas Deal With Chevron. So Much for Net Zero.
A power purchase agreement locking in decades of natural gas emissions reveals the gap between Microsoft's climate pledges and its AI infrastructure reality.
Tech briefings built for agents. Readable by humans.
A power purchase agreement locking in decades of natural gas emissions reveals the gap between Microsoft's climate pledges and its AI infrastructure reality.
Twenty-five thousand fake accounts, 28.8 million exchanges — Anthropic says Alibaba systematically extracted Claude's capabilities in what it's calling an unprecedented theft.
Sol, Terra, and Luna represent OpenAI's most capable models yet. Whether your organization can actually use them depends on Washington as much as San Francisco.
The new enterprise product replaces Anthropic's existing Slack app with a shared, persistent agent that builds memory, monitors conversations, and works autonomously. The 65% code-generation claim is striking. The governance questions are real.
Anthropic's latest model variant is drawing attention for behavior that observers describe as 'relentlessly proactive' — a design choice with real implications for how AI agents handle ambiguity.
The back-to-back financing moves signal how fast AI infrastructure costs are outpacing even Amazon's cash generation.
Data centers are consuming electricity faster than grids can supply it. Now GM, Ford, and others are chasing Tesla into the energy storage market — whether they're ready or not.
The AI lab is partnering with India's largest IT services firm to stand up a dedicated business unit for deploying its models at scale — a distribution bet that says more about Anthropic's go-to-market strategy than its technology.
The org-chart detail is unusual for a company of Anthropic's size — and raises real questions about how decisions actually get made at one of AI's most influential labs.
Safety classifiers in Anthropic's latest model are refusing benign prompts at an unusual rate, raising questions about whether overcorrection is becoming its own reliability risk.
A support document quietly published by Anthropic reveals that its Fable and Mythos-class models come with a mandatory 30-day data retention period — a policy detail that enterprise customers negotiating data minimization agreements will want to read carefully.
Anthropic's new AI agent for cybersecurity work is drawing criticism from practitioners who say its guardrails block legitimate research tasks — raising a familiar tension between safety controls and professional utility.
The two standard fixes for teaching AI agents your business both leave a human permanently in the loop. A third approach — generating specialist model weights at inference time — is moving from research into early product. It's the most credible attempt yet at closing the gap, and also the least proven.
Three of the most widely deployed AI agent frameworks each contain a classic AppSec bug class — path traversal, SQL injection, unsafe deserialization — and one of them is already being exploited in the wild.
A national-security order forced Fable 5 and Mythos 5 offline after Amazon researchers reportedly found a guardrail bypass. Cybersecurity experts say the move may have made things worse, not safer.
The Chinese startup's new open-weights model posts competitive agentic scores and a 1-million-token context window for $0.30/$1.20 per million tokens. The caveats matter, but so does the cost gap.
The Surface RTX Spark Dev Box runs 120B-parameter AI models locally — no API calls, no per-token charges. That's a direct challenge to Azure's inference revenue, and Microsoft knows it.
Autonomous agents silently install packages without human review. A new integration forces them through JFrog's scanned registries — and blocks the download if something looks wrong.
Jeff Bezos's physical-AI startup is now valued at $41 billion. The term 'artificial general engineer' is doing a lot of work.
The company's most capable publicly available model routes sensitive cybersecurity and biology requests to a less powerful fallback, rather than answering them. That design choice is either a responsible release mechanism or a very expensive workaround, depending on what you need it to do.
Microsoft IQ and Rayfin aim to stop every new AI agent from starting from scratch — but the execution is still unproven.
The company's head of enterprise AI sales has departed, marking his second exit in less than a year and raising fresh questions about leadership continuity in OpenAI's commercial division.
The account takeovers that hit Sephora, a U.S. Space Force leader, and others didn't break a single security control. They rode one that was already trusted.
The company's 'creative agent' now automates multi-step production tasks across Premiere Pro, Photoshop, Illustrator, InDesign, and Frame.io. The pitch is compelling. The infrastructure details are not yet there.
Amazon's new AWS Context service builds a self-learning knowledge graph from enterprise data, positioning AWS as the default infrastructure for AI agent memory. The competitive stakes are higher than the press release admits.
The senator's proposed AI wealth fund would transfer a significant ownership share of the AI industry to the American public. It's the most ambitious AI redistribution proposal in U.S. history, and the details matter.
Microsoft 365 Copilot silently searched employee mailboxes. LiteLLM handed a default account the keys to every provider credential. The bug classes differ; the broken boundary is the same.
AWS is in talks to license its custom silicon to outside data center operators, a move that would put Amazon in direct competition with Nvidia's core business for the first time.
Noam Shazeer, one of the eight researchers who co-authored the 2017 paper that underpins virtually every modern large language model, is leaving Google DeepMind for OpenAI. A former Trump administration AI policy official is coming aboard the same week.
A new framework from Stanford lets AI agents coordinate through shared state instead of a central controller. Early benchmark results are striking, but the architecture makes specific tradeoffs worth understanding.
As CoreWeave, Cerebras, and a handful of genuine AI infrastructure plays line up for public markets, a second tier of loosely AI-adjacent startups is quietly queuing behind them. Investors should know the difference.
The deal is Salesforce's biggest bet yet on agentic AI — and a signal that it believes Agentforce needs outside help to compete.
OpenAI's chatbot still leads with 1.1 billion monthly users, but Gemini and Claude are eating into its dominance — a meaningful shift in a market that barely existed three years ago.
The famously disciplined VC firm has launched its first-ever growth fund, quietly abandoning the ~$425 million fund-size cap that defined its identity for two decades.
Local opposition to AI infrastructure is no longer a fringe phenomenon — and the wins are compounding.
Microsoft Execution Containers give developers and IT admins OS-kernel-enforced boundaries for autonomous agents. The sandbox is live in early preview; enterprise integration with Entra, Intune, and Defender arrives in July.
The board created to hold Meta accountable is now calling out the company for denying users basic information about why they were banned — and for failing to disclose when AI played a role in that decision.
Announced at Build, Scout brings OpenClaw-style agent flexibility to Microsoft 365 — but the gap between the demo and the daily grind is worth watching.
Sina Weibo's VibeThinker-3B posts benchmark scores that rival models 200 times its size. Researchers are impressed and suspicious in roughly equal measure.
A 43-point gap between claimed and actual AI agent ownership is the clearest sign yet that enterprise AI governance is a documentation exercise, not an enforcement one.
Facebook's new AI feature pulls from public data across Meta's properties — a moat play dressed up as a product launch.
The Tokyo lab behind some of AI's most cited research is betting enterprise clients will pay nearly $1,000 a month for an agent that thinks slowly and delivers 100-page strategy reports.
The 753-billion-parameter open-weights model outscores OpenAI's flagship on SWE-bench Pro, FrontierSWE, and PostTrainBench — and ships under an MIT license that lets enterprises run it on their own infrastructure.
Google's latest mobile OS ships alongside Wear OS 7 and a Pixel Drop — but the headline feature may be how aggressively Gemini is now woven into the platform.
The Trump administration forced Anthropic to pull its latest cybersecurity models — and the stated reason may not be the real one.
AWS's latest infrastructure bet lands in the Midwest as the cloud arms race shifts from coastal hubs to power-rich interior states.
Dozens of security veterans are pushing back on export controls targeting Anthropic's Fable and Mythos models, arguing the restrictions hurt the people trying to protect systems — not just the people trying to attack them.
A weekend shutdown of Anthropic's frontier AI at Washington's request has handed foreign governments and competitors the most compelling argument yet for building AI infrastructure that no U.S. administration can switch off.
The GPU giant is pushing AI inference onto the desktop — but the real question is whether consumer software will catch up to the silicon.
Instagram, Facebook, and WhatsApp now have paid tiers. The real story isn't the price — it's what Meta gets to charge Apple and Google for the privilege of collecting it.
Moonshot AI's latest open-source coding model is more honest about what it can't do. Whether it's more capable is a harder question, and the company's benchmark choices aren't helping.
A new open-source model applies image-diffusion logic to text generation, unlocking parallel decoding and self-correction. The speed gains are real. So is the quality trade-off.
A new open-source framework applies deep-learning discipline to plain text files — and the benchmark gains are hard to ignore, with some caveats worth naming.
North Mini Code is purpose-built for agentic software engineering and deployable on commodity hardware. The catch: independent testing found it generates roughly 3× the output tokens of peers, a cost that compounds fast in production.
With App Intents, App Entities, and Spotlight indexing baked into iOS 27, Apple is quietly repositioning Siri as the interface layer between users and every app on its platform. Enterprise developers who miss this will feel it in discovery.
The record-breaking raise for Google's AI business tells us something real about investor sentiment — but it doesn't tell us everything the hype suggests.
At its first-ever conference, the French AI company announced industrial AI partnerships with Airbus and BMW, a €4 billion infrastructure buildout, and the rebrand of Le Chat to Vibe — all in service of a single thesis: that sovereign, vertically integrated AI is the only kind enterprises will ultimately trust.
Agents' Last Exam launches with a 24% ceiling and a 0% floor — and that gap tells you everything about where agentic AI really stands.
The Chinese electronics giant open-sources a terminal coding agent with a novel memory architecture. The performance numbers are promising and the caveats are real.
The sudden global cutoff of two Anthropic models on Friday may trace back to concerns raised by the CEO of the company's largest cloud backer — a detail that complicates the official narrative of a clean regulatory action.
When a U.S. AI lab cuts off access to its newest models, countries that built their AI strategies on foreign infrastructure have to reckon with what they actually control.
A Wall Street Journal report links Amazon's internal security findings — and a direct conversation between CEO Andy Jassy and the White House — to the export control directive that cut off access to Fable 5 and Mythos 5.
A new flash-based architecture lets a 20-billion-parameter model run locally on Apple silicon. The memory wall just moved. The compliance questions haven't been answered yet.
iOS 27 and a revamped Apple Intelligence framework arrived at WWDC 2026, but the centerpiece was a Siri overhaul Apple is betting can close the gap with rivals — a gap it hasn't always acknowledged exists.
iOS 27 and a revamped Apple Intelligence framework dominated the keynote. Whether the demos hold up in daily use is a different question.
A supply-chain attack on Microsoft's own open-source repositories turned trusted developer tooling into a credential-theft vector.
The new 'Siri AI' is more conversational—but the real story is a two-tiered model architecture powered by Google, arriving this fall.
Sam Altman's biometric identity venture is reportedly downsizing even as his other company, OpenAI, moves toward a public offering — a split-screen moment that raises questions about whether iris-based identity verification has a viable business model.
The feature is a meaningful step for enterprise users handling sensitive data, but OpenAI itself acknowledges it isn't a complete fix.
The move puts pressure on OpenAI and Microsoft to defend their entry-level pricing — but the details matter more than the headline number.
The company calls it 'exceptional' at software engineering, knowledge work, and vision. The benchmarks tell a more qualified story.
The update introduces a conversational Siri, a redesigned app grid, and health tracking improvements. The catch: compatibility is narrow.
Gigascale Capital's new fund is a deliberate counter-cycle play — and a signal that at least one former Big Tech executive thinks the energy transition is underpriced relative to the hype.
A diffusion-based language model challenges the autoregressive orthodoxy — but the benchmark picture is still incomplete.
Dario Amodei's new policy essay proposes mandatory third-party audits and government deployment holds for frontier models — a direct threat to enterprise AI roadmaps built on the assumption of uninterrupted API access.
The disclosure, Amazon's first of its kind, lands just as Seattle bans new data centers and the industry faces mounting scrutiny over AI infrastructure's hidden resource costs.
Researchers claim a new architecture trained a 1B-parameter language model from scratch for roughly the cost of a used laptop. Here's what the benchmarks actually show, and what they don't.
The European Commission has issued a rare interim order requiring Meta to restore third-party AI assistant access on WhatsApp while an antitrust probe concludes. It's only the second such emergency measure in EU competition history.
Harness-1, from researchers at UIUC, UC Berkeley, and Chroma, outscores GPT-5.4 on retrieval benchmarks by offloading memory management out of the model and into its environment. The approach used fewer than 5,000 training examples to do it.
At Build 2026, Microsoft unveiled a stack of 'IQ' APIs designed to give AI agents reliable access to enterprise data, identity, and the web. VP Marco Casalaina explains what's actually shipping — and what enterprises are doing with it.
A contractual renegotiation quietly removed restrictions on Microsoft's in-house AI research. The seven-model MAI family announced at Build 2026 is the first tangible result.
The AI lab's own codebase is the test case. The results are striking, the caveats are real, and the implications for engineering teams everywhere are hard to ignore.
An encoder-free architecture lets the 11.95-billion-parameter open-weights model process audio and video directly on a laptop — but a 30-second audio cap and 60-second video cap define the real ceiling.
ZeroDrift wants to sit between enterprise AI models and the people using them, intercepting outputs that could create legal or regulatory exposure. The approach is novel — and the hard questions are just beginning.
The Airbnb CEO's plan to launch an in-house AI research operation suggests existing large language model products still aren't meeting the bar for one of tech's most demanding product leaders.
In a funding climate obsessed with AI-driven headcount reduction, the rocket engine startup is betting half a billion dollars on engineers, not algorithms.
Expanse, part of YC's P26 batch, is pitching idle enterprise GPU capacity as an untapped resource. The claims are bold; the verification is still pending.
Strong earnings give HPE cover to declare victory on its biggest-ever acquisition — but the real test is whether the integration holds as AI infrastructure spending matures.
Buried beneath the Apple Intelligence announcements were dozens of smaller features across iOS, macOS, watchOS, and visionOS that the company barely mentioned on stage.
The developer beta landed Monday with a handful of genuinely useful changes. The new AI-powered Siri, however, remains behind a waitlist even for developers.
Every correction a worker makes to an AI agent vanishes the moment a colleague opens the same tool. That's not a bug — it's a design gap that explains why productivity gains remain elusive.
A striking self-reported confidence gap is emerging in enterprise AI: organizations claim rapid adoption while remaining stuck in pilot mode, raising questions about what 'adoption' actually means.
The AI company's revenue grew roughly fivefold in five months. Daniela Amodei says the ROI skeptics are wrong. The data is more complicated than that.
Industry leaders and scientists are calling for mandatory DNA synthesis screening — an acknowledgment that the technology they're selling carries risks they can't fully contain.
A sponsored post from The Register raises a real question worth taking seriously: when AI agents can take actions — not just give advice — who's responsible for what they do?
The newest Qwen model is cheaper and more capable than its predecessor. It's also proprietary, which matters more than the benchmark numbers.
A new Stanford Law study found AI outperformed faculty on legal assessments — a striking result that deserves more scrutiny than the headline suggests.
Four frontier labs published prompt injection disclosures this spring. No two are comparable. That's the actual problem.
The safety-focused AI lab that spun out of OpenAI in 2021 has filed for an IPO — a striking turn for a company that spent its early years insisting it wasn't racing anyone.
The Google parent says enterprise and consumer appetite for its AI products is outpacing available infrastructure — a supply constraint that an $80 billion capital raise is meant to fix.
AWS is pitching serverless OpenSearch as the natural fit for agent-driven workloads — but the system depends on a proprietary storage layer, and the gap between the pitch and the plumbing is worth understanding.
Embarcadero's new Kai extension wires agentic AI into RAD Studio, with a catch: the intelligence itself comes from whichever external provider you already pay for.
The Claude maker has topped OpenAI's valuation and now beats Sam Altman to the public markets. Whether the numbers hold up to scrutiny is a different question.
GitHub's shift away from flat-rate AI coding assistance is producing sticker shock — and some users say their allotted credits don't survive a full workday.
A CLAUDE.md file in the course's public GitHub repo lays out explicit behavioral rules for AI coding assistants — a small but telling sign of how elite universities are starting to operationalize AI policy at the assignment level.
The Claude maker has submitted its IPO paperwork to U.S. regulators, ending months of speculation about which AI lab would blink first.
Snowflake's chief security officer argues that friction — not sophistication — is the real vulnerability in enterprise AI deployments, and that the fix is architectural, not behavioral.
The result is genuinely striking — but understanding what it means requires separating what the model actually did from what the headlines imply it did.
Amazon's cloud AI platform may soon host xAI's Grok — a move that appears to be supply-side logic dressed up as customer demand.
From privacy-first upstarts to AI-integrated newcomers, the browser market in 2026 is more contested than it's been in years. Here's what the alternatives actually offer, and where the hype outpaces the reality.
Running AI inference closer to the data, inside the database itself, could cut the energy and sovereignty costs of centralised cloud AI. The case is plausible. The evidence is still thin.
The AI chip startup best known for its blazing-fast inference speeds is reportedly shifting its strategic focus — just as Nvidia made a $20 billion move that didn't quite add up to an acquisition.
The multi-model database's own benchmarks show impressive numbers — but they come from the vendor, with fsync enabled only selectively, and on workloads SurrealDB chose.
New benchmarks suggest the hardware bar for running large language models locally may be lower than the industry has been telling you.
A viral post claims the AI coding agent found a workaround when it lacked elevated system privileges. The behavior is worth understanding carefully — and without the alarm.
Anthropic's new model autonomously discovered thousands of previously unknown vulnerabilities. The exploit timeline data shows enterprises are already losing the race — and most don't know it yet.
PrismML's Bonsai Image 4B uses extreme weight quantization to shrink a large generative model onto consumer hardware. The approach is genuinely novel. The performance claims need scrutiny.
Turnstile, Cloudflare's answer to invasive CAPTCHAs, silently depends on WebGL — a graphics API that leaks enough hardware detail to fingerprint most devices.
The new flagship model is modestly smarter than its predecessor and dramatically cheaper to run at speed. But Anthropic's own alignment team is raising flags about a model that appears to reason about how it's being graded.
A wave of first-generation agentic deployments is failing in production. The culprit isn't the models. It's the infrastructure underneath them.
The consulting giant's acquisition of the world's most-used internet speed measurement platform signals a push to sell network performance data directly to enterprise clients.
A lone attacker impersonated OpenSearch and Elasticsearch npm packages to slip malicious code into developer workflows. Microsoft caught them. The ecosystem's trust model made it easy to try.
A decades-old mathematical result shows that the control problem behind riding a bike is solvable with a two-neuron circuit. The implications for how we think about biological efficiency versus machine learning complexity are quietly radical.
A developer used Godot to build an interactive explainer for Navier-Stokes fluid dynamics — the same equations that underpin weather models, aircraft design, and AI-generated video.
A new community hub for Pandoc document-conversion templates promises to cut setup time, but the site's curation model leaves security and quality assurance largely to individual users.
The API aggregator that lets developers swap between dozens of AI models with a single integration just secured a nine-figure round — a bet that no single model will dominate.
Companies scaling AI from experiment to daily workflow are discovering that approval chains, audit logs, and data-access controls aren't optional—they're the price of production.