@vixsheikh The thing that more ppl here need to realize is that at some point getting more money at the sacrifice of your time and agency becomes entirely not worth it.
If you know anyone currently doing a PhD or is thinking about doing a PhD focused on document fraud, please send them my way. There's an opportunity for them at InfraRed.
Really proud of what the Lateef Jakande Leadership Academy is doing to build a generation of new leaders, so I was pleased to speak on legacy at the Lagos Leadership Summit this week.
MIT researchers @davidautor and @ProfNeilT joined the @csail_alliances podcast to talk about why AI’s impact on jobs hinges less on automation and more on how well the technology is designed to work with humans. https://t.co/O2uIHjqIIB
I’m willing to make meaningful donations to any initiative focused on getting more Nigerians to get their PVCs. The 27% turnout we had last elections was so piss poor. If you’re working in this space or have strong ideas on how to improve participation, I’d be happy to connect.
This is big news for the space at large too. With Shevlin, DeepMind has hired someone who holds the tension about AI interiority at very high resolution.
If you want to know more:
Shevlin's 2021 publication about the specificity problem in consciousness research is an extremely good read on why we shouldn't be too quick to come to conclusions about AI interiority.
The core of it: every major theory of consciousness was developed in the context of human cognition, so when you try to apply it to non-human systems (animals or AI) you hit a dilemma. Spell out the theory in terms that reference specific human architecture and you risk false negatives, denying consciousness to things that have it but implement it differently. Make the theory abstract enough to be substrate-neutral and you risk false positives.
The paper goes on to categorize 2021's understanding of consciousness research (which is still relevant in 2026's popular consciousness theories) with clarity I enjoyed a lot.
Link: https://t.co/ChDNpnON40
As chair of the Ekiti State Cricket Association, I’m really proud of Oni Oluwadamilola, who’s been selected for Nigeria’s U-19 Women’s Cricket team for the ICC T20 World Cup Qualifiers. Good luck!
11 Nigerian states scored 100 percent in the fiscal transparency league table (Q3 2025)
1. Adamawa
2. Anambra
3. Benue
4. Ebonyi
5. Ekiti
6. Gombe
7. Jigawa
8. Kaduna
9. Kebbi
10. Osun
11. Plateau
The states fiscal transparency league table assesses the Nigerian states based on the availability, timeliness, and completeness of key public finance documents, functional e-procurement portals, and state fiscal data repositories
<budgIT>
#TheCableIndex
Who built the civilized societies abroad we're escaping to? People wanting to return to where they belong, where they feel at home, where their work has meaning and can contribute to building their own civilization are scarcely the strange ones imo.
I am looking for an experienced executive recruiter in Nigeria to support hiring for a small number of 0–1 leadership roles spanning technology, innovation policy, applied research, and programme development.
If this is you, or you can recommend someone credible, please DM.
I believe safety is important, but we must distinguish between two very different narratives:
The "Sci-Fi" Narrative: Stories about AI controlling the world, having "feelings," or possessing secret intelligence designed to fool us. Too often, the research in this narrative is used for PR or as an excuse to stifle open-source research.
The Engineering Reality: How do we build systems that are robust and hard to break?
As Yann points out, current LLMs rely on post-training for safety, which is inherently fragile and can always be jailbroken. He argues for "Objective-Driven AI, which means systems that satisfy safety constraints by construction, similar to how a jet engine is engineered to handle stress.
I agree with Yann that patching models with fine-tuning isn't the long-term solution. However, the practical path to embedding these hard "guardrails" into a reasoning agent is still a massive open question. We know what we need, but we haven't figured out how to build it effectively in practice.