Sam Ghosh

22/05/2026

DeepMind launches APAC AI accelerator for environmental risks |Next in AI |Astha La Vista

AI is rapidly evolving from a productivity tool into a foundational layer for science, robotics, healthcare, and autonomous systems.

Google’s I/O 2026 made one thing clear: we are entering the agentic Gemini era. Google unveiled managed AI agents, proactive 24/7 AI assistance, and new science-focused AI tools designed to accelerate discovery using systems like Co-Scientist, Alpha Evolve, and NotebookLM.

At the same time, OpenAI and healthcare providers continue scaling real-world deployments. AdventHealth is using ChatGPT for Healthcare to reduce administrative burden and return more time to patient care — another sign that enterprise AI adoption is moving deeper into operational workflows.

Meanwhile, research momentum is accelerating across robotics, mathematical reasoning, embodied AI, and autonomous agents:

• AI systems solved additional open mathematical problems through formal proof search

• Open-source robotics software is making robot cognition more accessible

• Researchers are improving self-aware navigation and gesture-aware robotic action models

• AI-native cloud infrastructure and sandboxed agent systems are becoming core infrastructure layers

Other key themes today:

→ Agentic AI is becoming the dominant paradigm across ecosystems

→ AI-powered scientific discovery is accelerating rapidly

→ Healthcare AI deployment continues expanding into production environments

→ Open-source ecosystems are increasingly shaping robotics and autonomous systems

→ Governments and geopolitical institutions are paying closer attention to AI competition and strategic stability

Key developments:

• Google unveiled the “agentic Gemini era” at I/O 2026

• Google launched new AI tools for science and managed agents

• OpenAI healthcare deployments expanded with AdventHealth

• DeepMind launched an environmental-risk accelerator program in Asia Pacific

• Research breakthroughs continued in formal mathematics, robotics, navigation, and embodied AI

👋 Hello Reader, Here’s your curated AI Newsletter packed with the latest trends, research, and insights 🚀 📌 Recent developments in artificial intelligence have seen significant advancements in voice applications, with Amazon SageMaker AI and vLLM Voice agents enabling real-time voice inte...

21/05/2026

Managed Agents in the Gemini API |Next in AI |Astha La Vista

Today’s AI landscape is being shaped by three powerful forces: scientific discovery, agentic infrastructure, and national-scale AI deployment.

Google unveiled a major push toward AI-powered scientific research, introducing new discovery tools built on Co-Scientist, Alpha Evolve, and NotebookLM. The company also launched Managed Agents in the Gemini API, signaling a future where cloud-native autonomous agents become a core developer primitive.

OpenAI revealed that one of its models disproved an 80-year-old conjecture in discrete geometry — a milestone moment for AI-assisted mathematics and scientific reasoning. At the same time, OpenAI continues expanding enterprise adoption through Codex-powered workflows and international AI partnerships.

Meanwhile, NVIDIA posted another blockbuster quarter, reinforcing that demand for AI infrastructure remains “parabolic,” while AWS introduced OpenAI-compatible APIs for SageMaker, further accelerating interoperability across the AI stack.

Other major themes today:

• AI is rapidly becoming a core layer for scientific discovery and research automation

• Agentic systems are moving from experimentation to production infrastructure

• Governments are becoming more active in AI regulation and deployment strategies

• New research continues to expose limitations around explainability, collaboration, and human-AI cognition

Key developments:

→ Google launched new AI tools for science and managed agents in Gemini API

→ OpenAI model solved a major open geometry problem

→ NVIDIA reported record quarterly revenue amid surging AI demand

→ AWS added OpenAI-compatible endpoint support for SageMaker

→ Deep research into AI-generated collaboration, scientific automation, and 6G AI-native networks continues accelerating

👋 Hello Reader, Here’s your curated AI Newsletter packed with the latest trends, research, and insights 🚀 📌 Recent developments in artificial intelligence have led to significant advancements in various fields, including science, factory operations, and meeting productivity. New AI tools ...

20/05/2026

AI chatbots vulnerable to misinformation manipulation: BBC investigation |Next in AI |Astha La Vista

Today’s AI news showed a clear transition from isolated AI tools → fully connected, agentic ecosystems spanning governments, enterprises, science, and infrastructure.

The biggest developments -

1. Google AI dominated today’s headlines at I/O 2026.

Google pushed aggressively toward an “always-on agentic ecosystem” with:
- proactive 24/7 Gemini assistance
- AI Studio expansion
- developer-first agent tooling
- multimodal AI workflows
- science-focused AI experimentation

The message was clear: Google wants Gemini to become an ambient operating layer across devices, workflows, and research environments.

2. OpenAI announced a major national partnership with Singapore.

This continues the growing trend of sovereign AI alliances where governments partner directly with frontier AI labs to:
- build local AI ecosystems
- train talent
- modernize public services
- accelerate enterprise adoption

AI is increasingly becoming geopolitical infrastructure.

3. Anthropic called for broader public discussion around frontier AI governance.

This is becoming one of the defining debates of the decade:
How do societies govern increasingly autonomous AI systems before they become deeply embedded into critical infrastructure?

4. Google DeepMind had major breakthroughs in scientific AI.

Highlights included:
- AI-driven aging research
- cellular rejuvenation discovery workflows
- improved hurricane forecasting with WeatherNext
- new AI-powered scientific experimentation tools

Scientific discovery is rapidly becoming one of AI’s highest-impact application layers.

5. Content authenticity and misinformation detection emerged as another major theme.

Multiple announcements focused on:
- content provenance
- AI-generated media verification
- manipulation detection
- watermarking systems
- trust infrastructure for synthetic content

As generative media scales, verification systems may become as important as the models themselves.

6. The agentic AI race is accelerating fast.

Today’s ecosystem launches included:
- persistent AI skills
- AI-native memory systems
- browser-integrated agents
- local AI search
- coding agent benchmarks
- autonomous research agents

We are moving from “prompting models” → orchestrating autonomous software systems.

7. Research increasingly points toward a new challenge:

AI systems are becoming more capable, but not necessarily more reliable.

New papers explored:
- misinformation vulnerabilities
- embodied AI failures
- security weaknesses in AI infrastructure
- explainability gaps
- limitations of procedural knowledge in cyber agents

Capability scaling alone is not solving trustworthiness.

The AI industry is entering the orchestration-and-governance era.

👋 Hello Reader, Here’s your curated AI Newsletter packed with the latest trends, research, and insights 🚀 📌 Recent developments in artificial intelligence have seen significant advancements in generative AI, with Google AI Studio and OpenAI introducing new tools and features to bring idea...

19/05/2026

"Demand Is Going Parabolic, Utterly Parabolic": NVIDIA CEO | Next in AI | Astha La Vista

Today’s AI news made one thing very clear:

The industry is rapidly transitioning from “chatbots” to full-scale AI operating systems for enterprises, infrastructure, and autonomous workflows.

The biggest developments 👇

1. OpenAI and Dell announced a partnership to bring Codex into hybrid and on-premise enterprise environments.

This is a major signal for enterprise AI adoption.

Large organizations increasingly want:

- AI agents inside private infrastructure

- tighter governance and compliance

- secure deployment near sensitive data

- AI-native software engineering workflows

2. The future of enterprise AI will likely be hybrid, not purely cloud-native.

Anthropic acquired Stainless, a company focused on SDK and MCP tooling.

This is strategically important.

The AI battle is no longer only about models — it is about developer ecosystems, orchestration layers, APIs, and agent infrastructure.

Whoever owns the AI workflow layer may ultimately own the enterprise AI stack.

3. NVIDIA’s Jensen Huang declared AI demand is going “utterly parabolic.”

The infrastructure race is accelerating at extraordinary speed:

- new CPUs optimized for AI agents

- cheaper agentic inference

- expanding AI compute ecosystems

- growing robotics and simulation workloads

AI infrastructure is becoming the defining industrial buildout of this decade.

4. Several important papers focused on the risks and limits of agentic AI systems.

Key themes included:

- overdeployment of agentic workflows

- sustainability concerns around “tokenmaxxing”

- real-time orchestration complexity

- governance and human-centered AI design

The industry is increasingly recognizing that scaling AI agents without operational discipline creates fragility.

5. Robotics and multimodal AI continue advancing rapidly.

New research explored:

- robot video generation

- world-model simulations

- OCR and document intelligence

- agentic gaming and simulation systems

- AI-driven interface orchestration

The boundary between software agents and embodied systems is narrowing.

6. Another major trend: AI is becoming deeply embedded into enterprise operations.

Today’s launches included:

- AI-native ecommerce infrastructure

- AI-powered debugging environments

- production-context systems for coding agents

- workflow automation tools

- persistent memory systems for local LLMs

We are watching the emergence of AI-native enterprise software stacks in real time.

The AI race is shifting from model development → operational integration.

👋 Hello Reader, Here’s your curated AI Newsletter packed with the latest trends, research, and insights 🚀 📌 Recent developments in large language models (LLMs) and artificial intelligence have seen significant advancements, with partnerships such as OpenAI and Dell bringing Codex to hybri...

18/05/2026

Voice AI Systems Are Vulnerable to Hidden Audio Attacks: IEEE Spectrum | Next in AI | Astha La Vista

Today’s AI landscape revealed a major shift: AI is rapidly moving from experimental tooling to national infrastructure, governance systems, and deeply embedded enterprise workflows.

Key developments that stood out:

1. OpenAI and the Government of Malta announced a historic partnership to provide ChatGPT Plus access to all Maltese citizens.

This may become a blueprint for sovereign AI adoption at the national level — where governments treat AI access as public digital infrastructure rather than just a consumer product.

2. AI governance and safety concerns are intensifying.

New research warned that:
- automated AI alignment may be far harder than expected
- AI-mediated communication can subtly steer collective opinion
- voice AI systems remain vulnerable to hidden audio attacks
- legal professionals continue facing major risks from hallucinated citations

The industry is increasingly realizing that scaling capability without robust governance creates systemic vulnerabilities.

3. Agentic AI is rapidly expanding into robotics, infrastructure, and cloud orchestration.

Today’s research explored:
- collaborative robot teams
- autonomous cloud resource orchestration
- climate governance simulations
- adaptive AI systems operating in dynamic real-world environments

AI is no longer just generating outputs — it is beginning to coordinate systems.

4. Enterprise AI adoption continues accelerating.

OpenAI highlighted real-world deployments where AI assistants are now:
helping bankers save hours daily

- optimizing ride-sharing operations at Uber
- powering enterprise customer service agents
- scaling software engineering workflows
- The gap between “AI experimentation” and “AI-native operations” is narrowing fast.

5. Healthcare AI also had a major day.

Important developments included:
- new methods for clinical AI monitoring
- auditable open clinical LLM pipelines
- AI-assisted immunotherapy target discovery
- statistical approaches for post-deployment healthcare AI validation

Healthcare is increasingly becoming one of the most consequential AI deployment environments.

6. Another critical trend: the AI infrastructure race.

New work focused on:
- datacenter power delivery for AI-scale compute
- intelligent energy optimization
- sustainable utility systems
- scalable orchestration architectures

The future of AI may depend as much on energy systems and compute infrastructure as on model quality itself.

👋 Hello Reader, Here’s your curated AI Newsletter packed with the latest trends, research, and insights 🚀 📌 Recent developments in artificial intelligence have highlighted both the potential benefits and risks of the technology. Partnerships between governments and AI companies, such as O...

15/05/2026

Anthropic Enters $200M Partnership with the Gates Foundation, Compute Partnership with xAI | Next in AI | Astha La Vista

Today’s AI news highlighted a major shift: the race is no longer just about building powerful models — it’s about building trusted, deployable, enterprise-scale AI ecosystems.

1. Anthropic made some of the biggest strategic moves today.

- Anthropic announced a $200M partnership with the Gates Foundation
- PwC is now deploying Claude across enterprise workflows to build technology, execute deals, and redesign enterprise operations
- xAI also announced a new compute partnership with Anthropic

This signals something important: Anthropic is rapidly positioning itself as a core infrastructure and enterprise AI layer — not just a model provider.

2. Enterprise AI adoption is accelerating globally.

OpenAI highlighted:
- Codex deployment across engineering teams at Sea Limited
- mobile management for coding agents
- improved context awareness in sensitive conversations

The focus is increasingly on persistent AI systems embedded into real operational workflows.

3. Security and governance are becoming central themes in the AI stack.

Key discussions today included:

- securing AI agents and MCP deployments
- runtime governance
- behavioral assurance limits
- safe orchestration for autonomous systems

The AI industry is realizing that scaling agents without governance creates systemic risk.

4. Research momentum around agentic systems and world models continues to intensify.

New work explored:
- adaptive agents reacting to real-world events
- visual reasoning systems
- language-guided autonomous exploration
- AI systems capable of simulation and long-horizon planning

AI is evolving from reactive assistants → proactive decision systems.

5. Another important trend: the rise of multilingual and globally deployable AI infrastructure.

New embedding systems, scalable inference techniques, and multilingual retrieval models suggest the next wave of AI growth will come from broader international accessibility rather than only frontier model scaling.

6. Sustainability and compute efficiency are now strategic priorities.

Today’s discussions covered:
- asynchronous inference optimization
- scalable batching systems
- sustainable AI development frameworks
- infrastructure efficiency improvements

The future winners in AI may not simply have the smartest models — but the most efficient and deployable systems.

7. Human-AI collaboration research is becoming more nuanced.

New studies explored:
- creativity tradeoffs when coding with LLMs
- how AI affects human agency
- cultural reasoning failures in multimodal systems
- AI support for international students adapting to new environments

The next phase of AI adoption will depend heavily on designing systems that augment human judgment rather than quietly replacing it.

14/05/2026

AI is now taking priority over traditional trade negotiations between the U.S. and China (Fortune) | Next in AI | Astha La Vista
Today’s AI news highlighted a deeper shift happening across the industry:

AI is evolving from a software race into a geopolitical, infrastructural, and cognitive transformation.

Here’s what stood out:

1 OpenAI detailed how it built a secure sandbox for Codex on Windows.
This matters because coding agents are rapidly moving toward real operational autonomy:
• executing code
• modifying systems
• accessing enterprise environments
• interacting with live infrastructure
The next frontier is no longer just model capability.�It is secure agent ex*****on.

2 OpenAI’s response to the TanStack npm supply-chain attack reinforced another major reality:
AI platforms are now part of critical digital infrastructure.
Software signing, dependency integrity, sandboxing, and supply-chain defense are becoming central to the AI stack.
As agentic systems gain permissions and tool access, cybersecurity risk expands dramatically.

3 The geopolitical AI race is intensifying.
A major Fortune report noted that AI is now taking priority over traditional trade negotiations between the U.S. and China.
The real battleground increasingly includes:
• semiconductor export controls
• rare earth supply chains
• compute infrastructure
• AI manufacturing capacity
The AI race is becoming an infrastructure and national strategy competition.

4 Several important studies today focused on how AI changes human cognition and learning.
Research explored:
• open-book exams with ChatGPT
• reduced deep learning despite higher performance
• creativity tradeoffs in AI-assisted programming
• cognitive operations shaped by generative AI
One key pattern is emerging:�AI may amplify productivity while weakening certain forms of human reasoning and creative struggle.

That tension could become one of the defining educational questions of this decade.

5 Another critical theme:�AI reliability and evaluation remain unresolved challenges.
New research highlighted:
• negation failures in LLM training
• reproducibility problems in AI evaluation
• sensitivity verification in safety-critical systems
As AI enters healthcare, finance, infrastructure, and defense, evaluation science itself is becoming strategically important.

6 Healthcare and life sciences continue to emerge as major AI deployment sectors.
Today’s developments included:
• real-time monitoring frameworks for clinical AI
• AI-guided life sciences R&D
• regulatory alignment with the EU AI Act
The shift from experimental healthcare AI → operational healthcare infrastructure is accelerating.

7 The developer ecosystem around AI agents is maturing rapidly.
New launches focused on:
• local debugging for AI agents
• persistent memory systems
• AI-native observability
• headless AI commerce infrastructure
• agent-first file transfer systems
This signals the rise of an “AI operating layer” around software development itself.

The AI industry is entering a systems-and-governance era.
The next competitive advantages may come less from:
• bigger models
• benchmark scores
• chatbot interfaces

And more from:
• security
• trusted infrastructure
• reliable evaluation
• deployment architecture
• human-AI collaboration quality
• geopolitical supply chain control

AI is no longer just a technology story.�It is increasingly an economic, societal, and strategic systems story.

👋 Hello Reader, Here’s your curated AI Newsletter packed with the latest trends, research, and insights 🚀 📌 Recent developments in artificial intelligence have focused on building secure and effective platforms, such as OpenAI's sandbox for Codex on Windows, and responding to potential se...

13/05/2026

Google Warns of AI-Powered Cyberattacks “ It’s here” | Next in AI | Astha La Vista

AI’s cybersecurity moment may have officially arrived.

🔹 Google warned that hackers have now attempted to use AI to exploit a previously unknown software vulnerability — a milestone many security experts feared was inevitable. The implication is profound: AI is no longer just defending systems; it is actively reshaping offensive cyber capabilities.

🔹 The broader AI ecosystem is rapidly industrializing:�• OpenAI showcased how enterprises are deploying Codex for finance workflows, software engineering, planning, and production systems.�• NVIDIA is accelerating reinforcement learning infrastructure and self-improving AI agents.�• Stanford HAI launched a new AI and Organizations Lab focused on understanding how AI transforms the workplace.

🔹 Infrastructure and agentic AI continue to dominate the next wave:�• Research on multi-stream LLMs suggests future AI systems may think, process, and respond in parallel streams rather than linear conversations.�• NVIDIA-backed systems are pushing autonomous and self-improving agents closer to real-world deployment.�• AI-native mobility for 6G networks and distributed governance for agentic AI are emerging as critical research frontiers.

🔹 Trust, provenance, and misinformation are becoming central battlegrounds:�• New work on TextSeal aims to watermark AI-generated text for provenance protection.�• Automated fact-checking systems are evolving to combat hallucinations and misinformation at scale.�• Researchers are warning about “false trust” and calibration drift in AI reasoning systems.

🔹 AI is also moving deeper into science and healthcare:�• Researchers developed generative AI methods for optimizing peptide antibiotics against drug-resistant bacteria.�• AI-assisted medical reasoning and clinical support systems continue advancing, though reliability remains a key concern.

🔹 One clear pattern is emerging:�The AI race is no longer just about bigger models. It is increasingly about trust, security, infrastructure, governance, and real-world deployment resilience.

👋 Hello Reader, Here’s your curated AI Newsletter packed with the latest trends, research, and insights 🚀 📌 Recent developments in artificial intelligence have highlighted both the potential benefits and risks of the technology. Google has issued a warning about hackers using AI to break ...

12/05/2026

ChatGPT Growth Surges Among Users Over 35: OpenAI | Next in AI | Astha La Vista
AI adoption is accelerating — but so are the challenges around infrastructure, trust, and reliability.
🔹 OpenAI reported that ChatGPT adoption broadened significantly in early 2026, with the fastest growth among users over 35 and more balanced gender participation — a major sign that AI is moving firmly into the mainstream.
🔹 AI infrastructure is rapidly evolving:�• Utilities-aware AI compute routing is emerging as power constraints reshape data center strategy.�• Micro data centers near substations may become part of the future AI stack.�• a16z highlighted infrastructure, orchestration, and AI-native systems as the next major software wave.
🔹 Google AI continues pushing AI into everyday workflows with Gemini-powered paper note digitization, while enterprise ecosystems deepen through collaborations like NVIDIA + SAP for trusted specialized agents.
🔹 Research momentum remains intense across:�• Multi-agent memory and personalized research automation�• AI-assisted CAD and industrial design generation�• Real-world pentesting agents�• AI robustness and stress testing�• Creative workflows with GenAI image systems�• Manufacturing intelligence and multimodal embeddings�• Robotics inspired by biological systems
🔹 A growing theme in AI research:�Reliability and trust are becoming just as important as raw capability.
New studies warn that:�• LLM explanations can create false trust�• Agent systems need stronger software engineering discipline�• Benchmark quality and real-world evaluation still lag deployment speed
🔹 Meanwhile, AI-native tooling continues exploding:�Local memory systems for agents, AI SEO auditing, AI-assisted video editing, and workflow automation tools are becoming core productivity infrastructure.
The industry is shifting from:�“Can AI do this?”�to�“Can AI do this reliably, safely, and at scale?”


https://www.linkedin.com/pulse/next-ai-issue-170-sam-ghosh-vto5c/

11/05/2026

OpenAI Launches Enterprise AI Deployment Venture DeployCo | Next in AI | Astha La Vista

AI’s next wave is becoming impossible to ignore.
🔹 A startup is exploring AI inference from space to address the growing energy crisis driven by massive data center expansion.
🔹 NVIDIA CEO Jensen Huang told graduates that their careers are beginning “at the start of the AI revolution” — a strong signal of how foundational AI is becoming across industries.
🔹 OpenAI launched DeployCo to help enterprises operationalize frontier AI at scale, highlighting the shift from experimentation to measurable business outcomes.
🔹 New research continues to push boundaries across:�• Multi-agent AI systems�• Advanced reasoning and RL optimization�• Video generation with controllable motion & cinematography�• AI safety without benchmark labels�• Retrieval agents as the next frontier of knowledge systems�• Explainable protein language models�• AI governance in military applications
🔹 At the same time, important cautionary themes are emerging:�• Global LLM leaderboards may be misleading�• Expanded context windows can reduce cooperation in AI agents (“memory curse”)�• Deskilling and AI addiction risks are being overlooked�• The long-term impact of GenAI on learning and software engineering remains mixed
🔹 Product innovation remains relentless:�AI-native tooling for enterprise data, multimodal creation, connectors, agent infrastructure, dubbing, and AI-assisted workflows dominated Product Hunt launches this week.
The broader pattern is becoming clear:�AI is no longer just a model race. The real battleground is now infrastructure, governance, deployment, reasoning quality, and human-AI collaboration.

👋 Hello Reader, Here’s your curated AI Newsletter packed with the latest trends, research, and insights 🚀 📌 The latest developments in artificial intelligence are driving innovation in various areas, including large language models, AI coding agents, and autonomous agents. Startups are la...

08/05/2026

OpenAI Introduces Trusted Contact in ChatGPT | Next in AI | Astha La Vista

Today’s AI news reinforced one clear trend:
The industry is rapidly moving from chatbots → autonomous, trusted, multimodal AI systems embedded into real-world infrastructure.
Here’s what stood out 👇
1 OpenAI expanded its cybersecurity push with GPT-5.5-Cyber and broader Trusted Access programs for verified defenders.
This is significant because frontier AI models are increasingly being positioned as active cyber defense systems:
• vulnerability discovery
• infrastructure protection
• incident response
• security automation
Cybersecurity is becoming one of the first truly agentic AI deployment domains at scale.
2 OpenAI also introduced major upgrades in voice intelligence.
New realtime voice models can now:
• reason during conversations
• translate speech live
• transcribe more naturally
This signals another shift:�voice is evolving from a simple interface → a primary operating layer for AI systems.
The next generation of assistants will likely be conversational, persistent, and multimodal by default.
3 A particularly important development:�OpenAI launched “Trusted Contact” in ChatGPT for serious self-harm interventions.
This reflects a larger reality:�AI systems are increasingly operating in emotionally sensitive human contexts, forcing companies to build safeguards traditionally associated with healthcare or social systems.
4 Research momentum around AI-assisted science is accelerating fast.
Two standout themes:
• AI Co-Mathematician systems helping researchers explore open-ended mathematical discovery
• AI CFD Scientist agents assisting computational physics workflows
We are moving beyond “AI answers questions” toward:�AI collaborating in scientific reasoning itself.
5 Multiple papers today focused on the risks of agentic systems.
Researchers explored:
• instrumental behavior in AI agents
• out-of-distribution failures
• hallucinations in academic writing
• policy compliance in AI-assisted incident response
The important point:�the conversation is shifting from “Can agents work?” → “Can agents remain controllable at scale?”
6 Enterprise AI adoption continues accelerating.
Examples included:
• AI-powered banking copilots
• enterprise coding workflows with Codex
• customer service voice agents
• engineering productivity systems across large organizations
The gap between AI-native firms and traditional enterprises may widen significantly over the next few years.
7 Infrastructure remains the hidden story behind AI.
New work on resilient AI supercomputer networking, energy infrastructure, and AI training transport protocols shows that scaling modern AI increasingly depends on systems engineering — not just better models.
My takeaway:
The AI industry is entering its operational maturity phase.
The focus is no longer only:
• model benchmarks
• context windows
• chatbot UX
It is increasingly about:
• reliability
• trust
• safety
• infrastructure
• scientific collaboration
• enterprise integration
• autonomous ex*****on
That is where the next competitive advantages will likely emerge.

👋 Hello Reader, Here’s your curated AI Newsletter packed with the latest trends, research, and insights 🚀 📌 The AI landscape is witnessing significant developments, with advancements in voice intelligence and the introduction of new safety features, such as Trusted Contact in ChatGPT. Ope...