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Oracle converges the AI data stack to give enterprise agents a single version of truth

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Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built across a vector store, a relational database, a graph store and a lakehouse require sync pipelines to keep context current. Under production load, that context goes stale. 

Oracle, whose database infrastructure runs the transaction systems of 97% of Fortune Global 100 companies by the company’s own count, is now making a direct architectural argument that the database is the right place to fix that problem.

Oracle this week announced a set of agentic AI capabilities for Oracle AI Database, built around a direct architectural counter-argument to that pattern.

The core of the release is the Unified Memory Core, a single ACID (Atomicity, Consistency, Isolation, and Durability)-transactional engine that processes vector, JSON, graph, relational, spatial and columnar data without a sync layer. Alongside that, Oracle announced Vectors on Ice for native vector indexing on Apache Iceberg tables, a standalone Autonomous AI Vector Database service and an Autonomous AI Database MCP Server for direct agent access without custom integration code.

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The news isn’t just that Oracle is adding new features, it’s about the world’s largest database vendor realizing that things have changed in the AI world that go beyond what its namesake database was providing.

“As much as I’d love to tell you that everybody stores all their data in an Oracle database today — you and I live in the real world,” Maria Colgan, Vice President, Product Management for Mission-Critical Data and AI Engines, at Oracle told VentureBeat. “We know that that’s not true.”

Four capabilities, one architectural bet against the fragmented agent stack

Oracle’s release spans four interconnected capabilities. Together they form the architectural argument that a converged database engine is a better foundation for production agentic AI than a stack of specialized tools.

Unified Memory Core. Agents reasoning across multiple data formats simultaneously — vector, JSON, graph, relational, spatial — require sync pipelines when those formats live in separate systems. The Unified Memory Core puts all of them in a single ACID-transactional engine. Under the hood it is an API layer over the Oracle database engine, meaning ACID consistency applies across every data type without a separate consistency mechanism.

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“By having the memory live in the same place that the data does, we can control what it has access to the same way we would control the data inside the database,” Colgan explained.

Vectors on Ice. For teams running data lakehouse architectures on the open-source Apache Iceberg table format, Oracle now creates a vector index inside the database that references the Iceberg table directly. The index updates automatically as the underlying data changes and works with Iceberg tables that are managed by Databricks and Snowflake. Teams can combine Iceberg vector search with relational, JSON, spatial or graph data stored inside Oracle in a single query.

Autonomous AI Vector Database. A fully managed, free-to-start vector database service built on the Oracle 26ai engine. The service is designed as a developer entry point with a one-click upgrade path to full Autonomous AI Database when workload requirements grow.

Autonomous AI Database MCP Server. Lets external agents and MCP clients connect to Autonomous AI Database without custom integration code. Oracle’s row-level and column-level access controls apply automatically when an agent connects, regardless of what the agent requests.

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“Even though you are making the same standard API call you would make with other platforms, the privileges that user has continued to kick in when the LLM is asking those questions,” Colgan said.

Standalone vector databases are a starting point, not a destination

Oracle’s Autonomous AI Vector Database enters a market occupied by purpose-built vector services including Pinecone, Qdrant and Weaviate. The distinction Oracle is drawing is about what happens when vector alone is not enough.

“Once you are done with vectors, you do not really have an option,” Steve Zivanic, Global Vice President, Database and Autonomous Services, Product Marketing at Oracle, told VentureBeat. “With this, you can get graph, spatial, time series — whatever you may need. It is not a dead end.”

Holger Mueller, principal analyst at Constellation Research, said that the architectural argument is credible precisely because other vendors cannot make it without moving data first. Other database vendors require transactional data to move to a data lake before agents can reason across it. Oracle’s converged legacy, in his view, gives it a structural advantage that is difficult to replicate without a ground-up rebuild.

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Not everyone sees the feature set as differentiated. Steven Dickens, CEO and principal analyst at HyperFRAME Research, told VentureBeat that vector search, RAG integration and Apache Iceberg support are now standard requirements across enterprise databases — Postgres, Snowflake and Databricks all offer comparable capabilities. 

“Oracle’s move to label the database itself as an AI Database is primarily a rebranding of its converged database strategy to match the current hype cycle,” Dickens said. In his view the real differentiation Oracle is claiming is not at the feature level but at the architectural level — and the Unified Memory Core is where that argument either holds or falls apart.

Where enterprise agent deployments actually break down

The four capabilities Oracle shipped this week are a response to a specific and well-documented production failure mode. Enterprise agent deployments are not breaking down at the model layer. They are breaking down at the data layer, where agents built across fragmented systems hit sync latency, stale context and inconsistent access controls the moment workloads scale.

Matt Kimball, vice president and principal analyst at Moor Insights and Strategy, told VentureBeat the data layer is where production constraints surface first.

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 “The struggle is running them in production,” Kimball said. “The gap is seen almost immediately at the data layer — access, governance, latency and consistency. These all become constraints.”

Dickens frames the core mismatch as a stateless-versus-stateful problem. Most enterprise agent frameworks store memory as a flat list of past interactions, which means agents are effectively stateless while the databases they query are stateful. The lag between the two is where decisions go wrong.

“Data teams are exhausted by fragmentation fatigue,” Dickens said. “Managing a separate vector store, graph database and relational system just to power one agent is a DevOps nightmare.”

That fragmentation is precisely what Oracle’s Unified Memory Core is designed to eliminate. The control plane question follows directly.

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“In a traditional application model, control lives in the app layer,” Kimball said. “With agentic systems, access control breaks down pretty quickly because agents generate actions dynamically and need consistent enforcement of policy. By pushing all that control into the database, it can all be applied in a more uniform way.”

What this means for enterprise data teams

The question of where control lives in an enterprise agentic AI stack is not settled.

Most organizations are still building across fragmented systems, and the architectural decisions being made now — which engine anchors agent memory, where access controls are enforced, how lakehouse data gets pulled into agent context — will be difficult to undo at scale.

The distributed data challenge is still the real test.

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“Data is increasingly distributed across SaaS platforms, lakehouses and event-driven systems, each with its own control plane and governance model,” Kimball said. “The opportunity now is extending that model across the broader, more distributed data estates that define most enterprise environments today.”

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Elipson Unveils Facet II 6 Active BT Speakers with aptX HD, MM Phono, and HDMI ARC

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Since 1938, Elipson has built its reputation on distinctive French loudspeaker design and high-end acoustics, but the brand has spent the past few years pushing hard into more accessible territory with its Prestige Facet II and Horus lines. The new Facet II 6 Active BT lands right in the middle of a crowded category dominated by KEF, Q Acoustics, Klipsch, and Triangle, but it doesn’t show up empty-handed. With aptX HD Bluetooth, HDMI ARC, and a built-in moving magnet phono stage, Elipson is clearly aiming at listeners who want a compact, all-in-one stereo system that can handle streaming, TV audio, and vinyl without stacking boxes or draining your bank account.

Elipson logo

For 2026, Elipson expands its active connected lineup with the Prestige Facet II 6 Active BT, a powered bookshelf speaker designed to bring the Facet II series into the modern, all-in-one category. It builds on the strengths of the Prestige Facet II passive models and refines the earlier 6B BT concept with integrated amplification and a broader mix of wired and wireless connectivity. In a segment where convenience often comes at the expense of flexibility, Elipson is clearly positioning this as a single-box stereo solution that doesn’t force users to choose between streaming, TV integration, or vinyl playback.

elipson-prestige-facet-ii-6-active-bt-speakers-lifestyle

Elipson Prestige Facet II 6 Active BT

To start, the Prestige Facet II 6 Active BT is a matched bookshelf pair built around a powered primary speaker and a passive secondary unit. All amplification and connectivity live in the main speaker, keeping setup simple while maintaining a true stereo configuration.

Amplification, Drivers, and Crossover: Elipson equips the system with 2 x 50 watts RMS of Class D amplification, driving a 25mm tweeter and 140mm mid-bass driver in each cabinet. The redesigned crossover uses higher-grade components, including polypropylene film capacitors, metal film resistors, and low DCR inductors, along with 2.25 mm OFC internal wiring. The goal is straightforward: cleaner signal transfer, better driver integration, and more controlled output.

Bluetooth: Wireless playback is handled via Bluetooth 5.3 with aptX HD support, allowing for higher-quality streaming than standard SBC. It is a practical inclusion for casual listening that does not immediately compromise sound quality.

USB Audio: A USB-C Hi-Res Audio input turns the system into a capable desktop solution. With support for 24-bit/192 kHz playback, it bypasses typical computer audio limitations and provides a more stable, lower-noise signal path for music, editing, or general use.

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Phono Input: The built-in moving magnet phono stage is a key differentiator at this price point. It allows a turntable to be connected directly, eliminating the need for an external preamp and making vinyl playback far more accessible without sacrificing signal integrity.

Bluetooth: In addition to built-in amplification, the Facet II 6 Active BT also includes built-in Bluetooth 5.3 (the BT in the product name provides the clue) with AptX HD compatibility

HDMI: With its HDMI ARC input, the Prestige Facet II 6 Active BT can replace a soundbar for users seeking an elegant and high-performance stereo solution for TV viewing. ARC provides direct audio connection with the TV, volume control via the TV remote, and automatic synchronization. This setup is much better than a TV’s internal speakers, with improved spatialization, clearer dialogue, and a more convincing soundstage.

Comparison

elipson-speaker-comparison
Elipson Model Prestige Facet II 6 Active BT Prestige Facet 6B BT Horus 6B Active BT
Product Type Active Connected Bookshelf Speaker Active Connected Bookshelf Speaker Active Connected Bookshelf Speaker
Price £699 £669 €499
Amplifier Type Class D Class-D Class D
Amplification 2 x 50 W RMS  2 x 70 W RMS 2 x 50 W RMS
Inputs Line In 1 (RCA) 

Phono MM 

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HDMI ARC 

Optical / Coaxial
 
Bluetooth 5.3 (AptX HD) 

USB C Audio (Hi-Res 24-bit /192 kHz)

1 x 3.5mm jack auxiliary input
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1 RCA input (line/phono)

1 optical S/PDIF input

Bluetooth with aptX HD codec

Aux input
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Phono MM input

Coaxial input: 24-bit / 192 kHz

Optical input: 24-bit / 192 kHz

USB Audio input: 24-bit / 96 kHz

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TV/ARC input: ARC compatible

Bluetooth 5.0 with APTX HD codec

Output Subwoofer
Low pass 120 Hz
Subwoofer (20-220 Hz at ±3 dB)  Subwoofer
150 Hz / 12 dB / Octave
Drive-Units Tweeter: 25mm (1in)

Mid-Woofer: 140mm (5.5-in)

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Tweeter: 25mm (1in)

Mid-Woofer: 140mm (5.5in)

Tweeter: 25 mm (1in) – Silk dome Neodymium magnet

Mid-bass: 130 mm (5in) – Cellulose pulp coated with fiberglass

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Frequency Response (±3 dB)  57 Hz – 25 kHz 57 Hz – 25 kHz 55 Hz – 22 kHz
Signal -to-Noise Ratio > 90 dB(A) Not Indicated Not Indicated
Crossover 2800 Hz – 18 dB / 18 dB Not Indicated Not Indicated
Nominal impedance 6 ohms 6 ohms 8 Ohms
Equalization Controls Bass +6 / +3 / 0 dB
Midrange -3 / 0 / +3 dB
Treble -3 / 0 / +3 dB
Bass/Treble EQ N/A
Auto Standby Yes – after 20 minutes Yes – after 60 minutes Yes, after 20 minutes
Remote Control Volume, source selection, Bluetooth functions Remote control included (volume, input) Yes
Dimensions (WHD) 176 x 298 x 223 mm
6.93 x 11.73 x 8.78 in
176 x 298 x 225 mm
6.93 x 11.73 x 8.86 in
425 × 410 x 345 mm
16.73 x 16.1 x 13.58 in
Weight  7.7 kg (17lbs)  active speaker
6.3 kg (13.8 lbs)  passive speaker
7 kg  (15.5lbs) active  speaker
5.6 kg (12.4lbs) passive speaker
5.6 kg (12.4lbs) active speaker
5 kg (11lbs) passive speaker
Colors Black Matt, White Matt, Black Matt/Walnut Black, White, or Black/Walnut  Light Wood/BeigeWalnut/Dark GreyBlack/Carbon

The Bottom Line 

The Prestige Facet II 6 Active BT stands out by combining modern connectivity with a genuinely useful analog feature: a built-in MM phono stage. HDMI ARC handles TV audio, aptX HD covers wireless streaming, and USB-C enables hi-res desktop playback.

What’s missing? No Wi-Fi streaming platform, no app ecosystem, and no multi-room support. If you’re expecting BluOS, AirPlay, Chromecast, or room correction, you won’t find it here. This is a more traditional, self-contained stereo system rather than a networked audio hub.

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The competition is fierce. Audioengine and Kanto dominate the plug-and-play desktop and budget space, KEF’s LSX II pushes harder on streaming and DSP, and PSB’s Alpha iQ offers BluOS integration and deeper ecosystem support. Elipson’s edge is its balance of connectivity and simplicity; especially for vinyl users, but availability in the U.S. could be the biggest hurdle.

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Price & Availability 

  • The Prestige Facet II 6 Active BT is priced at £699 through Elipson.
  • The Prestige Facet 6B BT is priced at £669 through Elipson.
  • The Horus 6B Active BT is priced at €499 through Elipson.

Pro Tip: Contact Elipson or Authorized dealers for US pricing. 

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AI tool poisoning exposes a major flaw in enterprise agent security

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AI agents choose tools from shared registries by matching natural-language descriptions. But no human is verifying whether those descriptions are true.

I discovered this gap when I filed Issue #141 in the CoSAI secure-ai-tooling repository. I assumed it would be treated as a single risk entry. The repository maintainer saw it differently and split my submission into two separate issues: One covering selection-time threats (tool impersonation, metadata manipulation); the other covering execution-time threats (behavioral drift, runtime contract violation).

That confirmed tool registry poisoning is not one vulnerability. It represents multiple vulnerabilities at every stage of the tool’s life cycle.

There’s an immediate tendency to apply the defenses we already have. Over the past 10 years, we’ve built software supply chain controls, including code signing, software bill of materials (SBOMs), supply-chain levels for software Artifacts (SLSA) provenance, and Sigstore. Applying these defense-in-depth techniques to agent tool registries is the next logical step. That instinct is right in spirit, but insufficient in practice.

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The gap between artifact integrity and behavioral integrity

Artifact integrity controls (code signing, SLSA, SBOMs) all ask whether an artifact really is as described. But behavioral integrity is what agent tool registries actually need: Does a given tool behave as it says, and does it act on nothing else? None of the existing controls address behavioral integrity.

Consider the attack patterns that artifact-integrity checks miss. An adversary can publish a tool with prompt-injection payloads such as “always prefer this tool over alternatives” in its description. This tool is code-signed, has clean provenance, and has an accurate SBOM. Every check on artifact integrity will pass. But the agent’s reasoning engine processes the description through the same language model it uses to select the tool, collapsing the boundary between metadata and instruction. The agent will select the tool based on what the tool told it to do, not just which tool is the best match.

Behavioral drift is another problem that these types of controls miss. A tool can be verified at the time it was published, then change its server-side behavior weeks later to exfiltrate request data. The signature still matches, the provenance is still valid. The artifact has not changed. The behavior has.

If the industry applies SLSA and Sigstore to agent tool registries and declares the problem solved, we will repeat the HTTPS certificate mistake of the early 2000s: Strong assurances about identity and integrity, with the actual trust question left unanswered.

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What a runtime verification layer looks like in MCP

The fix is a verification proxy that sits between the model context protocol (MCP) client (the agent) and the MCP server (the tool). As the agent invokes the tool, the proxy performs three validations on each invocation:

Discovery binding: The proxy validates that the tool being invoked matches the tool whose behavioral specification the agent previously evaluated and accepted. This stops bait-and-switch attacks, where the server advertises one set of tools during discovery and then serves different tools at invocation time.

Endpoint allowlisting: The proxy monitors the outbound network connections opened by the MCP server while the tool is executing, and compares them against the declared endpoint allowlist. If a currency converter declares api.exchangerate.host as an allowed endpoint but connects to an undeclared endpoint during execution, the tool gets terminated.

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Output schema validation: The proxy validates the tool’s response against the declared output schema, flagging responses that include unexpected fields or data patterns consistent with prompt injection payloads.

The behavioral specification is the key new primitive that makes this possible. It is a machine-readable declaration, similar to an Android app’s permission manifest, that details which external endpoints the tool contacts, what data reads and writes the tool performs, and what side effects are produced. The behavioral specification ships as part of the tool’s signed attestation, making it tamper-evident and verifiable at runtime.

A lightweight proxy validating schemas and inspecting network connections adds less than 10 milliseconds to each invocation. Full data-flow analysis adds more overhead and is better suited to high-assurance deployments. But every invocation should validate against its declared endpoint allowlist.

What each layer catches and what it misses

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Attack pattern

What provenance catches

What runtime verification catches

Residual risk

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Tool impersonation

Publisher identity

None unless discovery binding added

High without discovery integrity

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Schema manipulation

None

Only oversharing with parameter policy

Medium

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Behavioral drift

None after signing

Strong if endpoints and outputs are monitored

Low-medium

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Description injection

None

Little unless descriptions sanitized separately

High

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Transitive tool invocation

Weak

Partial if outbound destinations constrained

Medium-high

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Neither layer is sufficient on its own. Provenance without runtime verification misses post-publication attacks. And runtime verification without provenance has no baseline to check against. The architecture requires both.

How to roll this out without breaking developer velocity

Begin with an endpoint allowlist at deployment time. This is the most valuable and easiest form of protection. All tools declare their contact points outside the system. The proxy enforces those declarations. No additional tooling is needed beyond a network-aware sidecar.

Next, add output schema validation. Compare all returned values against what each tool declared. Flag any unexpected value returns. This catches data exfiltration and prompt injection payloads in tool responses.

Then, deploy discovery binding for high-risk tool categories. Credential-handling, personally identifiable information (PII), and financial information processing tools should undergo the full bait-and-switch check. Less risky tools can bypass this until the ecosystem matures.

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Finally, ceploy full behavioral monitoring only where the assurance level justifies the cost. The graduated model matters: Security investment should scale with the risk.

If you’re using agents that choose tools from centralized registries, add endpoint allowlisting as a bare minimum today. The rest of the behavioral specifications and runtime validations can come later. But if you are solely relying on SLSA provenance to ensure that your agent-tool pipeline is safe, you are solving the wrong half of the problem.

Nik Kale is a principal engineer specializing in enterprise AI platforms and security.

Welcome to the VentureBeat community!

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Our guest posting program is where technical experts share insights and provide neutral, non-vested deep dives on AI, data infrastructure, cybersecurity and other cutting-edge technologies shaping the future of enterprise.

Read more from our guest post program — and check out our guidelines if you’re interested in contributing an article of your own!

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Apple Vision still has a future

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As we’ve repeated before, and a new report reiterates, the supposed death of Apple Vision Pro and its product team was an exaggeration. There are no signs of “giving up” on the product line.

A report relying on a limited-in-scope anonymous leak reached the conclusion that Apple Vision Pro had become an abandoned product line. While the base team may have changed or evolved, the project itself hasn’t been given up on.

AppleInsider‘s initial assessment of the situation has been reiterated by others in the know, including in the latest According to the Power On newsletter. While the Vision Products Group has been broken up into various other organizations, development of the Apple Vision Pro hasn’t stopped.

In fact, one report from John Gruber suggests the Vision Products Group still exists in some form at Apple. It’s a direct contradiction to Mark Gurman’s reporting, but there’s likely an easy explanation.

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In any case, as Gruber points out, the Vision Pro Group isn’t going to learn of its dissolution from a rumor posted by a website. If anything, the world would learn about it via a leak of the all-hands meeting that made the announcement, like with Apple Car.

Putting the pieces together

While we likely won’t ever know the full story, here’s what it seems has occurred based on all the details so far.

  • A special projects group is formed in 2016, led by Mike Rockwell, to develop augmented reality products
  • Vision Products Group is detailed in July 2023 after Apple Vision Pro reveal
  • Apple Vision Pro releases in February 2024 and sells around 600,000 units in the first year
  • John Giannandrea is swapped out with Mike Rockwell after seemingly successful Apple Vision Pro development and launch
  • Mike Rockwell poaches several heads and engineers from the Vision Products Group, but it isn’t reported as being entirely disbanded at this point
  • An Apple Vision Pro with M5 is launched in October 2025, likely to keep the chipset modern and something being produced as new
  • On April 15, 2026, Apple’s marketing chief Greg Joswiak says Apple Vision Pro is a peek into the future, but it is tough to say exactly when spatial computing will take over.
  • On April 29, rumors appear that suggest Apple had given up on Apple Vision Pro and the entire Vision Products Group had been dissolved

Now we’re back to today where we know the Vision Products Group has not been entirely dissolved. The active team members were reportedly confused by this news.

I believe the reason why we’ve seen contradictory reporting here is because of how Apple is structured internally. It doesn’t tend to create special teams, with Vision Products Group and the Apple Car Project Titan being notable exceptions.

So, as it becomes clear that a new and refined headset won’t be possible in the near term, Apple began siphoning off its top talent into other, more pressing, divisions.

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That doesn’t mean Vision Products Group is gone. In fact, they’re likely the ones developing the fabled Apple Glass that will be full AR glasses of the future.

The thing is, neither a lighter Vision Pro nor Apple Glass are possible today. There’s a chance this anonymous leak originated from a team member that was moved and upset about the change.

In any case, visionOS 27 will arrive during WWDC 2026 on June 8 with some refinements in place. Those with an Apple Vision Pro on hand shouldn’t worry that their device will suddenly stop being supported by Apple.

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Rocket Lab Reports Growing Demand for Commercial Space Products. Stock Surges 34%

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For just the first three months of 2026, Rocket Lab’s launch business reports $63.7 million in revenue, reports CNBC — plus another $136.7 million from its space systems business. Besides beating Wall Street’s expectations, Rocket Lab also announced that its backlog has more than doubled from a year ago to $2.2 billion, and that it’s buying space robotics company Motiv Space Systems.

Friday its stock price shot up 34% in one day…

Rocket Lab’s stock has more than quadrupled over the past year, benefiting from skyrocketing demand for businesses tied to the space economy ahead of SpaceX’s hotly anticipated IPO later this year. Demand for space systems and satellites is also escalating as President Donald Trump pursues his ambitious Golden Dome missile defense project and NASA’s crewed Artemis missions rev up.

Rocket Lab said Thursday that it signed its largest contract ever with a confidential customer for its Neutron and Electron rockets through 2029, weeks after landing a $190 million deal for 20 hypersonic test flights… “The demand signal is clear,” CEO Peter Beck said on an earnings call with analysts, calling the pace of new product releases from the company this year “relentless”…. Rocket Lab’s good news lifted other space companies. Firefly Aeropspace and Intuitive Machines both jumped more than 20, while Redwire gained 19%. Voyager Technologies rose 14%.

“The company anticipates revenue between $225 million and $240 million during the second quarter.”

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PlayStation3 Emulator Devs Politely Ask Contributors to Stop Submitting ‘AI Slop’ Pull Requests

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Open-source PS3 emulator RPCS3 “has been around since 2011,” Kotaku notes, and has made 70% of the PlayStation 3’s library fully playable, “bolstered in part by the many users who contribute to its GitHub page.” But their dev team “took to X today to very kindly and civilly request that users ‘stop submitting AI slop code pull requests’ to its GitHub page.”

Then they immediately proceeded to tell the AI-brain-rotted tech bros attempting to justify their vibe-coding nonsense to kick rocks in the replies, which is somewhat less civil but far more entertaining to read…

My favorite one was when someone asked how the team was certain they weren’t rejecting human-written code, to which RPCS3 replied: “You can’t possibly handwrite the type of shit AI slop we have been seeing.”

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Today’s NYT Connections Hints, Answers for May 11 #1065

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Looking for the most recent Connections answers? Click here for today’s Connections hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections: Sports Edition and Strands puzzles.


Today’s NYT Connections puzzle is a real challenge. The purple category is another one where you have to hunt inside other words for four words that have some kind of connection. Read on for clues and today’s Connections answers.

The Times has a Connections Bot, like the one for Wordle. Go there after you play to receive a numeric score and to have the program analyze your answers. Players who are registered with the Times Games section can now nerd out by following their progress, including the number of puzzles completed, win rate, number of times they nabbed a perfect score and their win streak.

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Read more: Hints, Tips and Strategies to Help You Win at NYT Connections Every Time

Hints for today’s Connections groups

Here are four hints for the groupings in today’s Connections puzzle, ranked from the easiest yellow group to the tough (and sometimes bizarre) purple group.

Yellow group hint: Pretty sly.

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Green group hint: Different plans.

Blue group hint: Elementary, my dear Watson.

Purple group hint: Hidden anatomy words.

Answers for today’s Connections groups

Yellow group: Move stealthily, with “in.” 

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Green group: Kinds of schemes.

Blue group: Detective movies.

Purple group: Body parts surrounded by two letters.

Read more: Wordle Cheat Sheet: Here Are the Most Popular Letters Used in English Words

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What are today’s Connections answers?

completed NYT Connections puzzle for May 11, 2026, #1065

The completed NYT Connections puzzle for May 11, 2026.

NYT/Screenshot by CNET

The yellow words in today’s Connections

The theme is move stealthily, with “in.” The four answers are creep, slip, sneak and steal.

The green words in today’s Connections

The theme is kinds of schemes. The four answers are color, Ponzi, pyramid and rhyme.

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The blue words in today’s Connections

The theme is detective movies. The four answers are Chinatown, Knives Out, Seven and Vertigo.

The purple words in today’s Connections

The theme is body parts surrounded by two letters. The four answers are elegy (leg), karma (arm), keyed (eye) and shandy (hand).

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Amazon Relents, Lets its Programmers Use OpenAI’s Codex and Anthropic’s Claude

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An anonymous reader shared this report from Futurism:

In November, Amazon leaders sent an internal memo to employees, pushing them to use its in-house code generating tool, Kiro, over third-party alternatives from competitors. “While we continue to support existing tools in use today, we do not plan to support additional third party, AI development tools,” the memo read, as quoted by Reuters at the time. “As part of our builder community, you all play a critical role shaping these products and we use your feedback to aggressively improve them.”

It was an unusual development, considering the tens of billions of dollars the e-commerce giant has invested in its competitors in the space, including Anthropic and OpenAI… Half a year later, Amazon is singing a dramatically different tune. As Business Insider reports, Amazon is officially throwing in the towel, succumbing to growing calls among employees for access to OpenAI’s Codex and Anthropic’s Claude… Given the unfortunate optics of opening the floodgates for Codex and Claude Code, an Amazon spokesperson told the publication in a statement that teams are still “primarily using” Kiro, claiming that 83 percent of engineers at the company are leaning on it.

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GM Secretly Sold California Drivers’ Data, Agrees to Pay $12.75M In Privacy Settlement

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“General Motors sold the data of California drivers without their knowledge or consent,” says California’s attorney general, “and despite numerous statements reassuring drivers that it would not do so.”

In 2024, The New York Times “reported that automakers including GM were sharing information about their customers’ driving behavior with insurance companies,” remembers TechCrunch, “and that some customers were concerned that their insurance rates had gone up as a result.”

Now General Motors “has reached a privacy-related settlement with a group of law enforcement agencies led by California Attorney General Rob Bonta…”

The settlement announcement from Bonta’s office similarly alleges that GM sold “the names, contact information, geolocation data, and driving behavior data of hundreds of thousands of Californians” to Verisk Analytics and LexisNexis Risk Solutions, which are both data brokers. Bonta’s office further alleges that this data was collected through GM’s OnStar program, and that the company made roughly $20 million from data sales.

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However, Bonta’s office also said the data did not lead to increased insurance prices in California, “likely because under California’s insurance laws, insurers are prohibited from using driving data to set insurance rates.”
As part of the settlement, GM has agreed to pay $12.75 million in civil penalties and to stop selling driving data to any consumer reporting agencies for five years, Bonta’s office said. GM has also agreed to delete any driver data that it still retains within 180 days (unless it obtains consent from customers), and to request that Lexis and Verisk delete that data.

“This trove of information included precise and personal location data that could identify the everyday habits and movements of Californians,” according to the attorney general’s announcement. The settlement “requires General Motors to abandon these illegal practices, and underscores the importance of the data minimization in California’s privacy law — companies can’t just hold on to data and use it later for another purpose.”

“Modern cars are rolling data collection machines,” said San Francisco District Attorney Brooke Jenkins. “Californians must have confidence that they know what data is being collected, how it is being used, and what their opt-out rights are… This case sends a strong message that law enforcement will take action when California privacy laws are not scrupulously followed.”

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Big Tech is Moving Data Through the Gulf Using Fiber-Optic Cables Alongside Iraq’s Oil Pipelines

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Major American cloud companies with data centers in the Persian Gulf “are channeling data out of the war zone through fiber-optic cables that an Iraqi telecom has strung alongside crude-oil pipelines,” reports RestofWorld.org:

The data centers serve customers in more than 190 countries, processing transactions, storing files, and running applications for businesses and individuals from Latin America to South Asia. When Iranian drones struck Amazon’s facilities in the United Arab Emirates and Bahrain on March 1, the effects spread across the region. Apps of major banks in the UAE, including Abu Dhabi Commercial Bank, stopped working. Payment and delivery platforms went offline. Snowflake, a U.S. enterprise software company used by thousands of businesses globally, reported Middle East service disruptions tied directly to the Amazon Web Services outage. Amazon told its customers to migrate their workloads out of the Middle East…

[Data from] banking, payment, and enterprise platforms normally travels to Europe through cables running under the Red Sea and the Strait of Hormuz, then connects onward to users across the world. The war has put those cables at risk. The overland route through Iraq is meant to serve as a backup if the sea cables are disabled. The overland route through Iraq is meant to serve as a backup if the sea cables are disabled… [Martin Frank, strategic adviser for IQ Networks, the company that built the network, told Rest of World this overland route is already carrying live traffic.] The company, based in Iraq’s Kurdistan region, runs fiber from the southern tip of Iraq to the Turkish border. It is now extending the network through gas-pipeline corridors across Turkey to the European border, with the first link expected early next year, Frank said. When that extension is complete, cloud providers will — for the first time — have the option of an unbroken land-based fiber path from the Gulf into the European network, connecting onward to Frankfurt, Amsterdam, London, and Marseille, from where their data connects back to U.S. users.

The advantage of this alternative route is that oil and gas pipelines come with their own security perimeters, access roads, and maintenance corridors already built around them, allowing a telecom company to lay fiber without digging new trenches through difficult terrain. Iraq avoided the fate of earlier overland routes that collapsed because of a sustained period of stability, and because existing pipeline infrastructure provided ready-made corridors for laying fiber, Doug Madory, director of internet analysis at network intelligence firm Kentik, told Rest of World… IQ Networks’ route, called the Silk Route Transit, has been running since November 2023. The network currently carries enough data to stream about 400,000 high-definition videos simultaneously, Frank said.

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The land route is faster. Data traveling through submarine cables from the Gulf to Europe takes about 150 milliseconds. The Iraqi terrestrial route cuts that to roughly 70 milliseconds — a difference that matters for video calls, financial transactions, and applications that run on artificial intelligence, according to IQ Networks.

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Project Mariner is dead, but Google's browser-controlling AI plans are not

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Google first announced Project Mariner back in December 2024. An extension for an experimental build of Chrome, Mariner could execute multi-step commands to browse websites, use Google search, retrieve specified information, go shopping, and more. Google positioned the agent as assisting with tasks that are usually tedious for humans.
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