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    <title>Forem: AI Tech Connect</title>
    <description>The latest articles on Forem by AI Tech Connect (@rishi_kora).</description>
    <link>https://forem.com/rishi_kora</link>
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      <title>Forem: AI Tech Connect</title>
      <link>https://forem.com/rishi_kora</link>
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    <item>
      <title>Q1 2026: $300B in AI Startup Funding Shatters VC Records</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Sat, 09 May 2026 11:30:17 +0000</pubDate>
      <link>https://forem.com/rishi_kora/q1-2026-300b-in-ai-startup-funding-shatters-vc-records-3512</link>
      <guid>https://forem.com/rishi_kora/q1-2026-300b-in-ai-startup-funding-shatters-vc-records-3512</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/q1-2026-vc-record-300b-ai-startup-funding" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;The venture capital industry has produced extreme quarters before — Q4 2021 saw roughly $105B deployed in a single quarter, a number that felt extraordinary at the time. Q1 2026 has made that figure look modest. Global startup funding reached $300B between January and March 2026, nearly three times the prior all-time record. April 2026 continued the momentum as the third-highest startup funding month on record, driven by a succession of billion-dollar AI rounds closing in rapid sequence. The headline number, however, is somewhat misleading if read without context. $300B sounds like a broad rising tide. It is not. This capital is highly concentrated — fewer than 500 companies globally account for the overwhelming majority of it, and the funding clusters are clearly defined. For builders in…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/q1-2026-vc-record-300b-ai-startup-funding" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>funding</category>
      <category>ai</category>
      <category>machinelearning</category>
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    <item>
      <title>MolmoAct2: Open-Source Robot Reasoning Hits 87% on Real Tasks</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Sat, 09 May 2026 09:30:18 +0000</pubDate>
      <link>https://forem.com/rishi_kora/molmoact2-open-source-robot-reasoning-hits-87-on-real-tasks-3ckc</link>
      <guid>https://forem.com/rishi_kora/molmoact2-open-source-robot-reasoning-hits-87-on-real-tasks-3ckc</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/molmoact2-open-source-robot-reasoning-model" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;Why this moment matters Until now, the state of the art in robot reasoning was proprietary. Boston Dynamics runs closed inference on Atlas. Figure AI's Figure-02 platform is not open. Tesla's Optimus uses a completely internal stack. The closest thing to an open-source robotics foundation model was OpenVLA — useful, but meaningfully behind the proprietary leaders in real-world generalisation. MolmoAct2 changes that calculus. An action reasoning model achieving 87.1% success on unseen real-world manipulation tasks, released with full weights, data, and code, represents a structural shift in who can build on frontier robotics AI. This is not merely an academic milestone. The practical consequence is that a robotics startup in Bengaluru, a university lab in Bristol, or a warehouse automation…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/molmoact2-open-source-robot-reasoning-model" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>opensource</category>
      <category>research</category>
      <category>ai</category>
      <category>machinelearning</category>
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    <item>
      <title>Bayesian Agentic AI: Why Your Orchestration Layer Is Gambling</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Sat, 09 May 2026 07:30:33 +0000</pubDate>
      <link>https://forem.com/rishi_kora/bayesian-agentic-ai-why-your-orchestration-layer-is-gambling-o1b</link>
      <guid>https://forem.com/rishi_kora/bayesian-agentic-ai-why-your-orchestration-layer-is-gambling-o1b</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/bayesian-agentic-orchestration-calibrated-beliefs" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;The paper — and why it matters now On 4 May 2026, a position paper titled "Agentic AI Orchestration Should be Bayes-consistent" appeared on arXiv. Thirty researchers co-authored it, representing institutions including Google DeepMind, Microsoft Research, and several frontier AI labs. Position papers with author lists this broad tend either to be consensus-building documents that eventually shape framework design, or committee-authored mush that says nothing. This one is not the latter. The core claim is pointed: most agentic orchestration layers in production today are essentially heuristic schedulers. They decide which tool to call next based on keyword matching, hard-coded priority rules, or raw model output without any principled accounting of what the system actually knows or does not…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/bayesian-agentic-orchestration-calibrated-beliefs" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>product</category>
      <category>research</category>
      <category>ai</category>
      <category>machinelearning</category>
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    <item>
      <title>IndiaAI Mission: Budget May Double to ₹20,000 Crore</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Sat, 09 May 2026 07:30:16 +0000</pubDate>
      <link>https://forem.com/rishi_kora/indiaai-mission-budget-may-double-to-20000-crore-4i70</link>
      <guid>https://forem.com/rishi_kora/indiaai-mission-budget-may-double-to-20000-crore-4i70</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/indiaai-mission-budget-double-nvidia-partnership-2026" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;What Is the IndiaAI Mission? The IndiaAI Mission is a Cabinet-approved programme with an initial budget of ₹10,371.92 crore (approximately $1.25 billion USD), making it one of the most substantial government AI investments ever sanctioned outside the United States, China, and the European Union. Administered through the Ministry of Electronics and Information Technology (MeitY) and overseen by the IndiaAI agency, the Mission sits at the intersection of industrial policy, national security, and democratic technology: building AI infrastructure that India owns, controls, and can deploy in its own languages, for its own populations, without dependence on overseas hyperscalers or foreign model providers. The Mission was formally constituted in 2024 and has moved with unusual speed for a…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/indiaai-mission-budget-double-nvidia-partnership-2026" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>funding</category>
      <category>policy</category>
      <category>ai</category>
      <category>machinelearning</category>
    </item>
    <item>
      <title>NVIDIA's Open AI Model Suite: Nemotron, Cosmos, Isaac GR00T &amp; Clara</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Sat, 09 May 2026 05:31:42 +0000</pubDate>
      <link>https://forem.com/rishi_kora/nvidias-open-ai-model-suite-nemotron-cosmos-isaac-gr00t-clara-3j7g</link>
      <guid>https://forem.com/rishi_kora/nvidias-open-ai-model-suite-nemotron-cosmos-isaac-gr00t-clara-3j7g</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/nvidia-open-model-suite-nemotron-cosmos-isaac-groot" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;Why NVIDIA's model launch matters beyond hardware For most of the past decade, NVIDIA's strategic position was unambiguous: sell the shovels in the AI gold rush. CUDA, H100s, the NVLink fabric — NVIDIA provided the substrate on which everyone else built. The company's relationship with AI models was largely indirect: the better the models got, the more GPUs people bought. That posture has now changed. With the release of six open-weight model families across as many verticals — Nemotron for enterprise agents, Cosmos for physical AI simulation, Alpamayo for autonomous vehicles, Isaac GR00T for robotics, Clara for biomedical AI, and Ising for quantum computing — NVIDIA has stepped into the same arena as Hugging Face, Meta, and Mistral. It is competing for developer mindshare, not just GPU…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/nvidia-open-model-suite-nemotron-cosmos-isaac-groot" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>infra</category>
      <category>opensource</category>
      <category>ai</category>
      <category>machinelearning</category>
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    <item>
      <title>AI Engineer Salaries Hit $206K: How to Hire and Retain in 2026</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Fri, 08 May 2026 15:30:09 +0000</pubDate>
      <link>https://forem.com/rishi_kora/ai-engineer-salaries-hit-206k-how-to-hire-and-retain-in-2026-4508</link>
      <guid>https://forem.com/rishi_kora/ai-engineer-salaries-hit-206k-how-to-hire-and-retain-in-2026-4508</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/ai-engineer-hiring-retention-2026" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;The numbers have become impossible to ignore. According to the Pin salary report published in May 2026, the global average AI engineer salary has reached $206K — a $50K increase over the prior year. Meanwhile, PwC's AI Skills Barometer found a 56% wage premium attached to AI skills, more than doubling from 25% the year before. AI engineer roles are now the fastest-growing US tech job, up 59% year-on-year even as overall tech postings fell 36%. For startup founders in Bangalore, Hyderabad, London, and Edinburgh, this is not an abstract market statistic. It is the environment you are hiring into right now. This guide sets out what the market actually looks like, what you can realistically offer, and — crucially — the non-salary factors that often matter more to the engineers you most want…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/ai-engineer-hiring-retention-2026" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>product</category>
      <category>ai</category>
      <category>machinelearning</category>
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    <item>
      <title>112 DeepMind Alumni Startups: Inside the UK's AI Talent Wave</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Fri, 08 May 2026 13:30:15 +0000</pubDate>
      <link>https://forem.com/rishi_kora/112-deepmind-alumni-startups-inside-the-uks-ai-talent-wave-4l1e</link>
      <guid>https://forem.com/rishi_kora/112-deepmind-alumni-startups-inside-the-uks-ai-talent-wave-4l1e</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/deepmind-alumni-112-startups-uk-talent-wave" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;When a Google DeepMind researcher leaves to start a company, the AI world notices. When 112 of them do it in 18 months, it signals something structural: the world's most productive AI research lab has become a generator of companies, not just papers. That shift is reshaping the UK's technology landscape in ways that will be felt for a decade. The data, surfaced by tech.eu in May 2026, is striking in its scale. Across geographies, alumni are founding companies in applied AI, AI safety, robotics, materials science, and healthcare. The question for UK builders — whether you are recruiting, fundraising, or competing for market position — is what this wave means for you. The DeepMind alumni wave: by the numbers One hundred and twelve DeepMind alumni have founded or are actively planning to…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/deepmind-alumni-112-startups-uk-talent-wave" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>research</category>
      <category>funding</category>
      <category>ai</category>
      <category>machinelearning</category>
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    <item>
      <title>Microsoft Agent 365: Enterprise Governance Layer for AI Teams</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Fri, 08 May 2026 11:30:34 +0000</pubDate>
      <link>https://forem.com/rishi_kora/microsoft-agent-365-enterprise-governance-layer-for-ai-teams-46go</link>
      <guid>https://forem.com/rishi_kora/microsoft-agent-365-enterprise-governance-layer-for-ai-teams-46go</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/microsoft-agent-365-enterprise-governance" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;What Agent 365 actually does When enterprises began deploying AI agents in earnest through 2025, a pattern emerged quickly: governance and security tooling that worked well for human users in Microsoft 365 had limited applicability to agents. Copilot Studio gave product and IT teams a way to build and deploy agents, but the controls — access scoping, audit logging, data-loss prevention — operated at the individual agent level, with no unified view across an organisation's growing fleet of agents. For a bank in London or an IT-services firm in Bengaluru running dozens of agents across sales, legal, HR, and finance functions, this was a meaningful gap. Agent 365 closes that gap. It is not an agent builder — you still use Copilot Studio, Microsoft Foundry, or your own frameworks for that. It…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/microsoft-agent-365-enterprise-governance" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>infra</category>
      <category>product</category>
      <category>ai</category>
      <category>machinelearning</category>
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    <item>
      <title>AI Inference Costs Are Falling 95% Per Year — Build Profitable Now</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Fri, 08 May 2026 11:30:15 +0000</pubDate>
      <link>https://forem.com/rishi_kora/ai-inference-costs-are-falling-95-per-year-build-profitable-now-536g</link>
      <guid>https://forem.com/rishi_kora/ai-inference-costs-are-falling-95-per-year-build-profitable-now-536g</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/ai-inference-costs-2026-profitable-products" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;For most of 2023 and 2024, the dominant concern for AI product builders was not features — it was the bill. A conversational product running GPT-4 class inference at meaningful scale could easily spend $50,000 a month on tokens before the product reached profitability. That reality shaped an entire generation of product decisions: shorter system prompts, aggressive caching, hybrid retrieval to avoid long contexts, and the constant hunt for cheaper model tiers. That era is ending faster than most people realise. AI inference costs are falling at approximately 95% per year — a widely cited industry estimate based on tracked per-token price reductions across major providers since GPT-4's original pricing. Compounded over two years, workloads that cost $1 in mid-2024 now cost roughly $0.05.…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/ai-inference-costs-2026-profitable-products" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>product</category>
      <category>infra</category>
      <category>ai</category>
      <category>machinelearning</category>
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    <item>
      <title>Anthropic Overtakes OpenAI in ARR: What the Agent Shift Means</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Fri, 08 May 2026 09:30:13 +0000</pubDate>
      <link>https://forem.com/rishi_kora/anthropic-overtakes-openai-in-arr-what-the-agent-shift-means-2d7m</link>
      <guid>https://forem.com/rishi_kora/anthropic-overtakes-openai-in-arr-what-the-agent-shift-means-2d7m</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/anthropic-overtakes-openai-arr-enterprise-agents" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;The ARR flip explained In April 2026, multiple credible sources — including TechCrunch, SaaStr, and Bloomberg — confirmed that Anthropic's annualised recurring revenue had reached $30 billion, surpassing OpenAI for the first time. At the same point, OpenAI's ARR stood at roughly $24–25 billion — a figure we reported in detail following OpenAI's Q1 2026 investor briefing. The gap is striking: $6 billion in annualised revenue separates the two largest AI labs in the world, and the leader is not the one that launched ChatGPT. To understand why, you need to look past headline model benchmarks and examine where enterprise revenue actually comes from in 2026. Consumer AI subscriptions — ChatGPT Plus, Claude.ai Pro — generate predictable but relatively modest per-seat revenue in the $20–$30 per…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/anthropic-overtakes-openai-arr-enterprise-agents" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>modelrelease</category>
      <category>product</category>
      <category>ai</category>
      <category>machinelearning</category>
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    <item>
      <title>Gemini 3.1 Ultra: 2M-Token Context and Sandboxed Code Execution</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Fri, 08 May 2026 07:30:15 +0000</pubDate>
      <link>https://forem.com/rishi_kora/gemini-31-ultra-2m-token-context-and-sandboxed-code-execution-5825</link>
      <guid>https://forem.com/rishi_kora/gemini-31-ultra-2m-token-context-and-sandboxed-code-execution-5825</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/gemini-3-1-ultra-2m-context-code-execution" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;What is new in Gemini 3.1 Ultra Two headline additions define the 3.1 release. The first is the 2-million token context window — doubled from the 1M maximum available in earlier Gemini Ultra builds, and twice the size of Claude Opus 4.7's 1M context. The second is a native sandboxed Code Execution tool: the model can write Python, execute it in an isolated environment, read the standard output, and iterate within the same conversation turn — without any external interpreter infrastructure on your side. Both features were announced at Google Cloud Next '26 alongside Google's TPU 8i chip, which Google claims delivers 80% better performance-per-dollar over the prior generation. That hardware improvement matters for production economics: it translates directly into lower per-token serving…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/gemini-3-1-ultra-2m-context-code-execution" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>product</category>
      <category>modelrelease</category>
      <category>ai</category>
      <category>machinelearning</category>
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    <item>
      <title>DPDP Phase 2: Consent Manager rules and AI training compliance</title>
      <dc:creator>AI Tech Connect</dc:creator>
      <pubDate>Thu, 07 May 2026 15:30:13 +0000</pubDate>
      <link>https://forem.com/rishi_kora/dpdp-phase-2-consent-manager-rules-and-ai-training-compliance-2gh0</link>
      <guid>https://forem.com/rishi_kora/dpdp-phase-2-consent-manager-rules-and-ai-training-compliance-2gh0</guid>
      <description>&lt;p&gt;&lt;em&gt;Originally published on &lt;a href="https://aitechconnect.in/news/dpdp-phase-2-consent-manager-ai-builders-checklist" rel="noopener noreferrer"&gt;AI Tech Connect&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;What changed and why builders should care The Ministry of Electronics and Information Technology notified the Digital Personal Data Protection Rules on 14 November 2025, more than two years after the parent Act was passed. That single notification started three different clocks running. A handful of rules took effect immediately — most importantly the constitution of the Data Protection Board of India, the regulator that will actually issue penalties. Rule 4, governing Consent Managers, takes effect twelve months later on 13 November 2026. Everything else — the substantive duties around notice, security, breach reporting, data principal rights and the special obligations of Significant Data Fiduciaries — becomes enforceable eighteen months from notification, on 13 May 2027. For AI teams…&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://aitechconnect.in/news/dpdp-phase-2-consent-manager-ai-builders-checklist" rel="noopener noreferrer"&gt;Read the full article on AI Tech Connect →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>infra</category>
      <category>policy</category>
      <category>ai</category>
      <category>machinelearning</category>
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