40% of TikTok’s Irish workforce face redundancy. 667 jobs out of 1778 to be cut. However, 321 new roles will be created under new ai restructure. Microsoft also announced this week it was cutting 4,800 jobs globally. Meta announced in May that 350 jobs in Dublin were at risk, on top of around 750 jobs at Covalen, a major Meta contractor. That’s about 2000+ jobs lost in total if we also include Diageo, Oracle, Genpact etc. Each will be entitled to new jobseeker scheme: €450 per week for first 13 weeks, €375 per week for next 13 weeks, and €300 per week for final 13 weeks. €14,625 per person over 39 weeks!

From 0 to ZK Concept Bites #7#: Verifiable Provenance Last time we covered the redundancy problem, how Ethereum's "everyone verifies everything" model creates the bottleneck that real-time proving solves. This time, a different ZK property: provenance. 🛡️ Provenance is the ability to prove where something came from and what happened to it along the way. The clearest live example is Brevis Vera. Modern flagship cameras (Sony, Leica, Nikon, Canon) ship with C2PA, a standard that cryptographically signs every photo at the moment of capture. The image carries a verifiable record of which device produced it. Any edit afterwards breaks that signature. Vera fixes the break. Each edit between capture and publication runs inside Pico zkVM, which generates a proof that the edit was legitimate. The result is an unbroken chain from camera sensor to whatever image you're looking at. Provenance shows up beyond images too. Anywhere you need a verifiable chain of custody, this is the property doing the work. We just added a section on this to Part 4 of the refreshed From 0 Knowledge to Zero Knowledge series. Dive deeper there 👇

Very cool paper on memory compression for agents. If you run many agent sandboxes in parallel for RL or evals, memory becomes highly redundant. This work suggests that compressing against that redundancy cuts sandbox memory by up to 8.7x. Memory is becoming the capacity limit for high-fanout agent workloads. One task can spawn many concurrent sandboxes, and they all start from the same template and run related trajectories. HKUST researchers measured 76 to 96% of pages with template-relative or cross-sandbox redundancy. AgentZip compresses pages against the template and against sibling sandboxes, including pages that are similar without being identical. It runs expensive compression while the agent is waiting on the LLM, and it prefetches pages at restore time to control slowdown. Results: Sandbox-owned memory drops by up to 8.7x, against 2.1x for the Linux configuration. Aggressive compression slows execution by 3.1x on its own, and the scheduling and prefetching bring that down to 1.40x. Paper: Chat with Paper:

At Hot Chips 2026, IBM showed a crazy new IBM Z CPU that will support IBM Z and @Arm instruction sets natively. This is almost mind-blowing what the @IBM engineers did here. New AI acceleration with redundancy and HBM 3e as well. Wow.

💡This new paper introduces SFGA, a statistics-first gating architecture for cost-aware SFT data procurement. Instead of sending every case to an LLM judge, SFGA starts with low-cost blind measurements across three intrinsic quality axes: 🔹 Diversity 🔹 Utility 🔹 Redundancy Each is evaluated together with confidence intervals. Only when evidence is weak, borderline, or conflicting does the system escalate to an adjudicative debate between a buy-advocate and a reject-advocate, resolved by a presiding verdict. And even after escalation, SFGA does not blindly trust the LLM judge. It audits the process through advocate swapping, explicitly measuring negativity skew and positional bias. The contribution is not a new estimator or debate algorithm, but the architecture itself: ✅ Cheap statistics first ✅ Confidence gating ✅ Selective escalation ✅ Bias auditing For AI data markets, this direction matters: LLM judges should be used where they add the most value — on cases that are genuinely ambiguous, costly, and worth debating. Paper:

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Secure execution requires adding friction where it matters most: before critical actions are executed. Four safeguards protocols can use: 1. Redundancy 2. Staged approvals 3. Timelocks 4. Veto rights