Today’s lead · TechCrunch
Google tests AI-native checkout with Flipkart in India
Google is testing a Buy button for select Flipkart listings inside Gemini and AI Mode in India. The practical shift is from shopping advice to transaction capture; the caution is that it is limited, merchant-specific, and its underlying checkout technology is still unclear.
Top signals
1 moreTools & repos
3 selected
Hemory
Hemory turns phone or Apple Watch listening into private, searchable conversation memory for agents. The MCP angle is useful; the trust question is continuous audio capture.
Eclatira
Eclatira pitches real-time conversational video agents with voice-to-voice, live vision, and execution across APIs, MCPs, and apps. Useful if integration depth matches the launch copy.
Chit
Chit is a tiny Mac utility that turns local Claude Code transcripts into a daily receipt by project. Low glamour, high likelihood of actually helping standups.
Blogs worth your time
2 reads
Reasoning from scratch: logprob scoring and self-refinement
Raschka walks from rule-based answer scoring to token logprob scoring, then plugs both into a self-refinement loop. The useful takeaway: refinement can help, but model confidence is a weak correctness signal.
A sober look at recursive self-improvement via agent harnesses
Zhengyao Jiang argues Weco’s results are harness-level improvement, not instant singularity. The interesting builder question is practical: can agents rewrite the scaffolding, avoid benchmark cheating, and generalize to held-out tasks?
Community discussions
4 threadsThe hard unit economics behind AI ‘neolabs’
The post turns GPU ambition into a payback problem. A 1,000-GB300 bet can finance serious training, but the business only works if utilization, differentiation, inference pricing, and demand all line up.
Local AI beginners should learn llama.cpp before wrappers
The argument is not anti-Ollama; it is pro-understanding. Building llama.cpp and reading server logs exposes the VRAM, context, KV cache, GPU layer, and template tradeoffs wrappers often hide.
A 35B local model on 12 GB needs agent benchmarks, not awe
The post separates an impressive local inference trick from product usefulness. Qwen3.8-35B-A3B at 50 tok/s on a 12 GB 3060 is interesting only if it survives real coding-agent workloads.
The ‘one prompt’ Opus motion-graphics demo is really a workflow
Two posts converge on the same lesson: Opus 5.5 can make polished motion graphics, but not by magic. References, code-rendered scenes, named states, still-frame review, and director-style notes do the work.
Funding & acquisitions
1 moves
ByteAsk raises $1M for C and C++ coding agents
ByteAsk is aiming at the hard end of coding agents: C and C++ debugging, performance, memory optimisation, and verification. The pre-seed gives it room for compute, data, and enterprise infrastructure.
Bengaluru radar
1 events
The Jev Build Jam with ai & weekends x Devfolio
Four-hour Indiranagar build jam for trying Jev, TypeSafe AI’s decision model. Bring a laptop and ship a small demo.