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• 2. 🤖 Robot dog gets university expelled from AI summit
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Latest in AI
A private Indian university has been expelled from the India AI Impact Summit in New Delhi after one of its representatives claimed a commercially available Chinese robotic dog was the university's own creation. The incident has embarrassed host country India as it tries to position itself as a global hub for AI innovation.
Professor Neha Singh told DD News the robotic dog "Orion" was developed by the university's Centre of Excellence. Internet users quickly identified it as China's Unitree Go2, which retails from $1,600.
The university apologized and said Singh was "not authorized" to speak to media, adding she was "ill-informed" about the product's origins and gave "factually incorrect information."
The summit is attended by at least 20 heads of state and major tech CEOs, including Google's Sundar Pichai, OpenAI's Sam Altman, and Microsoft's Brad Smith.
For India, which is actively courting billions in AI investment, credibility is everything. With tech CEOs and world leaders watching, this high-profile misstep exposes the reputational risks of overstating local innovation at global events. It may prompt stricter vetting of exhibitors at future government-backed tech showcases.
THE BUSINESS BRIEFING: FINANCE & LEGAL
A large research university in the northeast (2,500+ sponsored research agreements annually, 10-person contract team) was drowning in complex SRA reviews. Each agreement required deep compliance checks and tight turnaround times. The team manually flagged risks, missing clauses, and negotiation points across hundreds of pages—burning staff capacity and delaying millions in research funding.
Tool used: LegalSifter Review, an AI contract reader that highlights risks, missing concepts, and provides negotiation recommendations in seconds.
Result: Initial contract review time cut by 70%. Total contract completion time down 20%. Each manager now handles 30% more contracts annually without expanding the team.
The lesson: AI accelerates the first pass so your team can focus on strategy, not hunting for clauses. The university configured negotiation playbooks specific to their institution, which turned generic AI into a trained specialist.
Steal this: Pick your most frequently reviewed contract type this week. Map out the 5 risks or clauses you always check manually. Test LegalSifter or a similar tool (Ironclad, Evisort) on 3 recent contracts to see if it flags those items faster than you can. If it does, build a playbook around it.
TOGETHER WITH UNWRAP
Still manually sifting through customer feedback?
There's a better way. Unwrap brings all customer feedback—surveys, reviews, support tickets, social comments—into a single view, then uses AI to surface actionable insights delivered straight to your inbox.
Stripe, lululemon, WHOOP, DoorDash, Southwest Airlines, and other leading brands use Unwrap to power their customer intelligence.
Get clarity on what matters most to your customers without the manual work.
THE POLICY CORNER
The Securities and Exchange Commission has intensified scrutiny of AI-related corporate disclosures, launching a dedicated AI task force and bringing enforcement actions against companies whose AI claims overstated system capabilities. S&P 500 filings show AI disclosures jumped from 55 firms in 2019 to 444 in 2024, with most now appearing in mandatory Risk Factors sections rather than general business descriptions.
Deadline: In effect now. The SEC has already brought 23 AI-related federal actions.
Risk: Overstated or misleading AI claims in investor-facing disclosures can trigger enforcement actions and shareholder litigation. The FTC is pursuing parallel cases on consumer-facing AI claims.
Your move: Audit your 10-K filings and investor materials for AI claims that lack substantiation. If you're describing AI capabilities, verify you can document them. Legal and IR teams should review all AI-related language before the next filing.
AI News
Gemini launches custom music generation: Google DeepMind's Lyria 3 now creates 30-second tracks from text or images in the Gemini app, with all outputs watermarked via SynthID. FULL STORY
Perplexity ditches ads to preserve user trust: The AI search startup phased out advertising late last year, with executives stating ads would have users "doubting everything" and undermining the company's accuracy mission. FULL STORY
Amazon shuts down Blue Jay robotics after 6 months: The multi-armed warehouse sorting robot launched as a prototype in October has been halted, with its core technology moving to other manipulation programs across Amazon's network. FULL STORY
Hollywood launches AI film school program: Reuters reports a new training initiative preparing the next generation of filmmakers to work with artificial intelligence tools in production workflows. FULL STORY
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The Money: Sovereign AI infrastructure races ahead
Two of the week's largest AI capital commitments target national-scale compute and energy buildouts, not frontier models. As hyperscalers scramble for capacity and governments prioritize data sovereignty, investors are backing the physical backbone of the AI economy.
Deals to know:
Adani Group (Direct Investment, $100B) - Renewable-energy-powered hyperscale AI data centres across India through 2035, targeting 5 GW capacity. Partners: Google, Microsoft, Flipkart
World Labs (Series B, $1B) - Spatial intelligence models for 3D reasoning and world simulation. Investors: AMD, Nvidia, Autodesk, Fidelity
Signal: Capital is flowing to the foundational layers beneath AI models. Countries and companies controlling integrated energy-compute infrastructure will hold pricing power as global GPU demand outstrips supply through 2028.
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