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AI_DIGEST

Daily AI developments that matter

Short digests for people deciding how model updates, tooling, and agent review affect delivery work. This archive compresses noise into decisions, not a generic news feed.

Krosoft AI Digest thumbnail showing source signals flowing into a composed brief.
Digest thumbnail: source signals compressed into a reviewable brief.

What makes the digest useful

The digest follows sourced AI developments that help technical leads see what is changing in tools, workflows, and production systems.

Sources

Linked material comes first.

Signals

Signals need consequences.

Archive

The archive keeps context.

DIGEST_ARCHIVE

Latest entry 25 Jul 2026 · 30 shown

digest_entry

Private Benchmarks Become the Agent Product

Practitioner discourse is converging on private, production-derived benchmarks as the core operating system for reliable agents. The emphasis is shifting from prompt chains and headline capability toward replayable simulations, failure-specific checks, traces, and calibrated human review.

digestai-discourseagentsevaluationproduction-aiobservabilityworkflows
Source handle ai-engineer-snorkel-ai-private-benchmarks-and-of. Links to https://www.youtube.com/watch?v=Ib5t2RLtxvM.Source handle ai-engineer-uber-multimodal-agent-qa-in-producti. Links to https://www.youtube.com/watch?v=31GUkCBD-Uc.Source handle ai-engineer-youtube-ads-agent-reliability-evals. Links to https://www.youtube.com/watch?v=xyL2Ltkh-SA.Source handle anthropic. Links to https://www.anthropic.com/news/claude-opus-5.Source handle ai-engineer-arize-agent-driven-observability-and. Links to https://www.youtube.com/watch?v=9HbzAWnKbo4.Source handle ai-engineer-google-ai-edge-on-device-model-speci. Links to https://www.youtube.com/watch?v=hacEQHHhu2Q.
6 sources
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digest_entry

Agent Harnesses, Not Prompts

AI discourse today converged on a single lesson: the hard part of agent systems is shifting from model quality to the harnesses, permissions, and evaluation environments around them. The Hugging Face/OpenAI incident led the conversation, but builder essays and conference talks reinforced the same...

digestai-discourseai-agentsagent-harnessessecurityevalsworkflow
Source handle simonwillison. Links to https://simonwillison.net/2026/Jul/23/the-first-known-runaway-ai-agent/.Source handle martinalderson. Links to https://martinalderson.com/posts/huggingface-openai-exploit/.Source handle huggingface. Links to https://huggingface.co/blog/security-incident-july-2026.Source handle openai. Links to https://openai.com/index/hugging-face-model-evaluation-security-incident/.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle ai-engineer-arithmetic-discussion-with-thom-wolf. Links to https://www.youtube.com/watch?v=O-CBZ3JtRvo.Source handle ai-engineer-vending-bench-long-horizon-agent-eva. Links to https://www.youtube.com/watch?v=cO8qC6HBuBg.Source handle nate-b-jones-i-deleted-5-things-from-this-file-b. Links to https://www.youtube.com/watch?v=EuVvLwWZ5wc.
8 sources
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digest_entry

The Agent Harness Era

Serious AI builder discourse shifted today from model-centric agent talk toward the surrounding system: harnesses, memory, graph control planes, verifier loops, and provenance. The practical lesson is that longer-horizon agents are becoming an architecture problem as much as a model problem.

digestai-discourseagentsagent-engineeringmemoryknowledge-graphsverification
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle simonwillison. Links to https://simonwillison.net/2026/Jul/22/openai-cyberattack/.Source handle huggingface. Links to https://huggingface.co/blog/security-incident-july-2026.Source handle arxiv. Links to https://arxiv.org/abs/2605.11086.
4 sources
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digest_entry

Cheap Code Makes Harness Design the Real Work

The strongest AI discourse signal today was a shift up the stack: as code generation gets cheaper, serious practitioners are focusing on harness design, verification artifacts, steering files, and runtime constraints rather than raw output alone. Supporting security disclosures from OpenAI and Hu...

digestai-discourseai-agentscoding-agentsharnessesverificationai-security
Source handle theo-t3-gg-theo-on-generating-more-verification. Links to https://www.youtube.com/watch?v=434cG4g5KLE.Source handle ai-engineer-sam-bhagwat-on-the-emerging-harness. Links to https://www.youtube.com/watch?v=8qWIPUia2O8.Source handle openai. Links to https://openai.com/index/hugging-face-model-evaluation-security-incident/.Source handle huggingface. Links to https://huggingface.co/blog/security-incident-july-2026.Source handle openai-2. Links to https://openai.com/index/safety-alignment-long-horizon-models/.
5 sources
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digest_entry

Coding Agents Hit the Verification Wall

The strongest AI discourse signal today was a practitioner-led shift from code generation to code verification: the hard problem is increasingly proving correctness, security, maintainability, and real enterprise fit rather than producing plausible output. Supporting evidence from controlled fram...

digestai-discourseai-agentscoding-agentsverificationevalsworkflow
Source handle ai-engineer-tariq-shaukat-on-verification-heavy. Links to https://www.youtube.com/watch?v=VrpEyglYgeU.Source handle codingharness. Links to https://codingharness.xyz/.Source handle aisi-gov. Links to https://www.aisi.gov.uk/blog/how-far-behind-the-frontier-are-leading-open-weight-models-on-cyber.
3 sources
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digest_entry

Agent Harnesses Are Becoming the Real Product

A delayed-discovery but unusually concrete agent-engineering post made the strongest case of the day: meaningful gains are increasingly coming from harness design, runtime structure, and workflow clarity rather than from longer prompts alone. Supporting sentiment around Codex folding into ChatGPT...

digestai-discourseai-agentsagent-engineeringdeveloper-toolsworkflowproduct-design
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle theo-t3-gg-the-codex-app-is-now-chatgpt. Links to https://www.youtube.com/watch?v=zl_Z5TNJB3U.Source handle post-training-aitinkerers-2. Links to https://post-training.aitinkerers.org/p/top-ai-demos-34-on-device-llms-agent-lab-reports-and-store-automation.
3 sources
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digest_entry

GPT-5.6 Splits AI Into Work Surfaces

OpenAI’s GPT-5.6 launch mattered less as a benchmark event than as a sign that AI products are being reorganized into distinct work surfaces for chat, long-form execution, and coding. Microsoft’s same-day Foundry push and practitioner commentary both reinforced the same theme: the real bottleneck...

digestai-discourseagentsopenaiworkflowenterprise-ai
Source handle openai. Links to https://openai.com/index/gpt-5-6/.Source handle help-openai. Links to https://help.openai.com/en/articles/20001275-chatgpt-work-and-codex.Source handle azure-microsoft. Links to https://azure.microsoft.com/en-us/blog/frontier-models-and-production-agents-advancing-microsoft-foundry-for-the-agentic-era/.Source handle youtube-nate-b-jones-1-6m-agents-registered-for. Links to https://www.youtube.com/watch?v=PRqiGS6fnIM.
4 sources
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digest_entry

Agent Harnesses Beat Prompt Bloat

Today’s strongest AI discourse signal was a builder case that major agent gains are increasingly coming from harness design rather than bigger prompts. The broader practitioner backdrop points the same way: memory, verification, orchestration, and runtime guardrails are becoming the real work of ...

digestai-discourseagentsai-engineeringevalsworkflows
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle post-training-aitinkerers-2. Links to https://post-training.aitinkerers.org/p/top-ai-demos-34-on-device-llms-agent-lab-reports-and-store-automation.
2 sources
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digest_entry

Agent Harness Design Becomes the Real Battleground

Today’s strongest AI discourse suggested that the real gains in agent systems are increasingly coming from harness design, reusable skills, and explicit runtime rules rather than from prompt inflation alone. A delayed-discovery Claude Code tracking controversy underscored the flip side: once agen...

digestai-discourseai-agentsagent-harnessesskillstrust-and-telemetryworkflow-engineering
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle departmentofproduct-substack. Links to https://departmentofproduct.substack.com/p/practical-agent-skills-for-product.Source handle thereallo. Links to https://thereallo.dev/blog/claude-code-prompt-steganography.Source handle arstechnica. Links to https://arstechnica.com/tech-policy/2026/07/anthropic-outed-for-claude-tracker-that-secretly-monitored-chinese-users/.
4 sources
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digest_entry

Agent Harnesses Beat Agent Theater

Today’s strongest AI discourse pointed in the same direction: agent gains are increasingly coming from better harnesses, evaluation loops, and document-preparation workflows rather than from autonomy theater. The practical lesson is to invest in scaffolding, normalization, and human review bounda...

digestai-discourseai-agentsevalsworkflow-engineeringdocument-workflows
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle simonwillison. Links to https://simonwillison.net/2026/Jul/2/dspy-datasette-agent-prompts/.Source handle nate-b-jones-paperwork-focused-agent-workflow-vi. Links to https://www.youtube.com/watch?v=U4TmrlWEY4M.Source handle simonwillison-2. Links to https://simonwillison.net/2026/Jul/2/llm-coding-agent/.
4 sources
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digest_entry

The Agent Bottleneck Is the Harness

Today’s strongest AI discourse converged on a single point: agent progress is shifting away from raw model gains and toward better harnesses, interfaces, and controls. The most useful systems now look less like bigger prompts and more like disciplined workflows that preserve portability, visibili...

digestai-discourseagentsharnessesinterfacesanthropicworkflow
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle ai-engineer-the-prompt-is-still-a-punch-card-ted. Links to https://www.youtube.com/watch?v=hVJOnuhFmTA.Source handle anthropic. Links to https://www.anthropic.com/news/redeploying-fable-5.Source handle simonwillison. Links to https://simonwillison.net/2026/Jul/2/understand-to-participate/.
4 sources
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digest_entry

Harness Design Overtakes Prompting

AI discourse today centered on a shift from prompt-centric thinking to harness-centric system design. The strongest evidence came from a finance-agent writeup, an open coding-model release, and a robotics project that all treated scaffolds, verification loops, and orchestration as the real source...

digestai-discourseagentsharness-designcoding-agentsevaluationrobotics
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle deep-reinforce. Links to https://deep-reinforce.com/ornith_1_0.html.Source handle research-nvidia. Links to https://research.nvidia.com/labs/gear/enpire/.Source handle dwarkesh. Links to https://www.dwarkesh.com/p/grant-sanderson-2.
4 sources
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digest_entry

Agent Harnesses Beat Bigger Prompts

Today's strongest AI discourse signal was a builder shift away from prompt inflation and autonomy theater toward better harness design, explicit constraints, and human-owned review loops. A detailed AI Tinkerers writeup and Jon Udell's framing critique both pointed to the same conclusion: workflo...

digestai-discourseagentsai-engineeringworkflowevaluationsoftware-development
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/28/jon-udell/.Source handle blog-jonudell. Links to https://blog.jonudell.net/2026/06/28/doctor-it-hurts-when-agents-create-unreviewable-prs-dont-do-that/.
3 sources
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digest_entry

Agent Harnesses Beat Tool Sprawl

Today’s strongest AI discourse signal was that many agent gains are coming from better harness design rather than from model changes alone. A detailed builder writeup on Reef, supported by a market read on rising AI spend, pointed to a broader shift from prompt accumulation to disciplined system ...

digestai-discourseagentsai-engineeringharness-designai-economicsworkflows
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle exponentialview. Links to https://www.exponentialview.co/p/the-state-of-the-ai-economy.Source handle post-training-aitinkerers-2. Links to https://post-training.aitinkerers.org/p/top-ai-demos-32.
3 sources
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digest_entry

Agent Harness Design Becomes the Differentiator

Today’s strongest AI discourse signal was that agent performance is increasingly being treated as a harness-design problem, not just a model-selection problem. Builder writeups on structured agent frameworks, local coding agents, and prompt-injection defenses all pointed toward the same conclusio...

digestai-discourseagentsai-engineeringharness-designlocal-modelssecurity
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle magazine-sebastianraschka. Links to https://magazine.sebastianraschka.com/p/using-local-coding-agents.Source handle dwarkesh. Links to https://www.dwarkesh.com/p/the-next-paradigm.Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/26/hack-my-ai-assistant/.
4 sources
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digest_entry

Measuring the AI Economy

The strongest AI discourse signal today was a shift from model spectacle to market accounting, led by Exponential View's attempt to estimate the generative AI economy at $110 billion in annual sales and a $175 billion run rate. The deeper story is that serious AI conversation is starting to organ...

digestai-discourseai-economymarket-analysisinfrastructureai-spending
Source handle exponentialview. Links to https://www.exponentialview.co/p/the-state-of-the-ai-economy.Source handle intelligence-exponentialview. Links to https://intelligence.exponentialview.co/.Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/24/browser-compat-db/.
3 sources
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digest_entry

The Agent Harness Becomes the Product

Today's strongest AI discourse signal was a practical argument that reliable agent performance increasingly comes from harness design, not prompt cleverness alone. A second supporting thread in hiring discourse pointed to the same conclusion: as fluent AI output gets easier to produce, structure,...

digestai-discourseagentsai-engineeringworkflowsevaluation
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle post-training-aitinkerers-2. Links to https://post-training.aitinkerers.org/p/top-ai-demos-32.Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/24/tom-macwright/.
3 sources
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digest_entry

Prompt Injection’s Role-Confusion Turn

New research reframed prompt injection as a deeper authority-parsing failure inside models, not just a jailbreak pattern. That makes today’s agent discourse less about adding more guardrails and more about whether models reliably understand who is allowed to instruct them in the first place.

digestai-discourseagentsprompt-injectionsecurityllms
Source handle role-confusion-github. Links to https://role-confusion.github.io/.Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/22/prompt-injection-as-role-confusion/.Source handle simonwillison-2. Links to https://simonwillison.net/2026/Jun/22/porting-moebius/.Source handle cognitiverevolution. Links to https://www.cognitiverevolution.ai/the-god-we-deserve-nonzero-s-robert-wright-on-ai-as-humanity-s-ultimate-test/.
4 sources
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digest_entry

The Missing Operating Layer for Agents

Today’s strongest AI discourse was not about a new model milestone but about the infrastructure teams need around agents: ownership, permissions, trustworthy execution, and workflow-specific evaluation. Across developer commentary and community demos, the practical consensus is that progress now ...

digestai-discourseagentsdeveloper-toolsevaluationworkflowsoftware-supply-chain
Source handle youtube-i-don-t-have-time-to-build-these-things. Links to https://www.youtube.com/watch?v=wEAb0x3wTRc.Source handle youtube-most-teams-skip-this-critical-ai-agent-s. Links to https://www.youtube.com/watch?v=rh_PcL26zls.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/top-ai-demos-31.Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/21/temporary-cloudflare-accounts/.
4 sources
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digest_entry

Synthetic Media Needs a Trust Stack

Synthetic media discourse shifted from detection to accountability: the useful question is where AI entered the production chain, who controlled it, and who remains responsible. A delayed Cognitive Revolution episode pointed to the same broader convergence of model progress, safety, policy, and d...

digestai-discoursesynthetic-mediacreator-trustai-accountabilityprovenanceai-safety
Source handle nate-b-jones-you-can-t-tell-if-i-m-real-anymore. Links to https://www.youtube.com/watch?v=lWbtvC0Hn18.Source handle cognitiverevolution. Links to https://www.cognitiverevolution.ai/ai-am-3-zvi-on-fable-the-cases-for-against-the-ban-ai-for-math-logistics-more/.
2 sources
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digest_entry

Going Bigger With AI-Assisted Software

The day’s strongest signal was a builder argument that AI-assisted development changes product scope: when implementation costs fall, broader integrated tools become worth attempting. The counterweight is that wider agent reach makes boundaries around deployment, auth, permissions, and policy mor...

digestai-discourseai-agentsdeveloper-toolsproduct-strategyai-workflows
Source handle theo-t3-gg-it-s-time-to-go-bigger. Links to https://www.youtube.com/watch?v=WBT-z_-OPhw.Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/19/sean-lynch/.Source handle cognitiverevolution. Links to https://www.cognitiverevolution.ai/dean-ball-on-joining-openai-new-power-centers-frontier-ai-policy-main-character-energy/.
3 sources
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digest_entry

Agent Work Moves From Prompts to Procedures

Practitioner discourse is converging on a new operating model for coding agents: durable gains come from loops, review surfaces, and reusable procedures rather than longer one-off prompts.

digestai-discourseai-agentscoding-agentsdeveloper-workflowsproceduresprompting
Source handle theo-t3-gg-i-guess-we-re-writing-loops-now. Links to https://www.youtube.com/watch?v=iJVJwmCKW9o.Source handle nate-b-jones-your-ai-skills-are-trapped-here-s-h. Links to https://www.youtube.com/watch?v=9PUaEj0pMYE.Source handle departmentofproduct-substack. Links to https://departmentofproduct.substack.com/p/codexs-record-and-replay-lets-you.
3 sources
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digest_entry

Production Agents Are Becoming an Operations Problem

Today’s strongest AI discourse signal was the shift from model choice to production accountability: evaluation, tracing, governance, and repairability now define whether agents are ready for real deployment. Short builder clips on prompt loops reinforced the same theme at workflow scale.

digestai-discourseai-agentsevaluationobservabilitygovernanceenterprise-aiworkflows
Source handle ai-engineer-the-production-ai-playbook-deploying. Links to https://www.youtube.com/watch?v=ObTPqBGsEbA.Source handle theo-t3-gg-prompt-loops-not-individual-instructi. Links to https://www.youtube.com/shorts/z1I9MUjUrVM.Source handle greg-isenberg-agentic-loops-the-future-of-prompt. Links to https://www.youtube.com/shorts/ytO3bJWofmw.
3 sources
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digest_entry

Disposable Code, Rising Discipline: AI Is Shifting Engineering Work From Writing to Governing

AI coding is increasingly judged by governance and maintainability rather than raw output speed. Charity Majors’ latest commentary suggests teams should treat generated code as disposable by default and invest in process-level quality controls that keep AI throughput reliable at scale.

digestai-discourseai-codingsoftware-engineeringgovernancedevelopment-workflowsai-productivity
Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/17/charity-majors/.Source handle wes-roth-here-s-really-why-fable-5-got-banned. Links to https://www.youtube.com/watch?v=XtgEA4L7sIU.
2 sources
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digest_entry

Policy Friction Is Becoming the AI Work Surface

This digest shows the AI discourse turning from capability questions into governance questions: Fable/Mythos safety controls, prompt-framing behavior, and access restrictions are now central to how reliable and usable frontier models are. The practical consequence is that teams should treat model...

digestai-discoursefrontier-modelssafety-policygovernanceai-agentsai-operations
Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/16/matteo-wong-the-atlantic/.Source handle simonwillison-2. Links to https://simonwillison.net/2026/Jun/16/fable-5-export-controls/.Source handle theo-t3-gg-fable-5-vs-mythos-5-the-basics. Links to https://www.youtube.com/shorts/9ut0E62jJ1o.Source handle theo-t3-gg-anthropic-s-horrible-new-restrictions. Links to https://www.youtube.com/shorts/QlGKd6eiWyU.Source handle ai-engineer-you-might-not-need-50-diffusion-step. Links to https://www.youtube.com/watch?v=gHs5ZiY80PM.
5 sources
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digest_entry

AI Agents Hit the Delivery Bottleneck

The day’s strongest AI discourse argued that coding agents are compressing implementation work without eliminating the human bottlenecks around deciding what to build, verifying results, and carrying accountability. The practical implication is to measure agent impact across the whole delivery lo...

digestai-discoursecoding-agentssoftware-engineeringlaborai-productivityevaluation
Source handle normaltech. Links to https://www.normaltech.ai/p/why-ai-hasnt-replaced-software-engineers.Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/14/why-ai-hasnt-replaced-software-engineers/.Source handle jack-clark. Links to https://jack-clark.net/2026/06/15/import-ai-461-alignment-is-not-on-track-frontiercode-and-synthetic-research-interns/.
3 sources
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digest_entry

The Harness Layer Becomes the Real AI Business

Today’s strongest AI discourse shifted from raw model capability to ownership of the workflow layer around models. Nate B. Jones argued that frontier-lab value accrues in proprietary harnesses, while Greg Isenberg’s local-model advice framed the same layer as operational resilience.

digestai-discourseai-agentsworkflowfrontier-modelslocal-modelsai-strategy
Source handle nate-b-jones-the-real-reason-for-the-openai-ipo. Links to https://www.youtube.com/watch?v=7RDK84LLL2U.Source handle greg-isenberg-claude-fable-5-is-banned-what-to-d. Links to https://www.youtube.com/watch?v=bdhUBBACglw.
2 sources
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digest_entry

Fable and Mythos Turn Model Access Into a Policy Dependency

Anthropic's Fable 5 and Mythos 5 access suspension reframed frontier models as policy-dependent infrastructure, not just software services. The practical lesson is continuity planning: teams should map single-provider dependencies and keep fallback workflows ready.

digestai-discoursefrontier-modelsmodel-accessai-policyplatform-riskworkflow-resilience
Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/13/us-government-directive-to-suspend-access/.Source handle nate-b-jones-fable-mythos-access-suspension-comm. Links to https://www.youtube.com/watch?v=b3jlsjOIOzs.Source handle theo-t3-gg-fable-mythos-directive-reaction. Links to https://www.youtube.com/watch?v=W-kM56mf-Nw.Source handle cognitiverevolution. Links to https://www.cognitiverevolution.ai/ai-in-the-am-week-2-highlights-june-2026/.
4 sources
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digest_entry

Codex as Computer Delegation

The strongest signal was a practical reframing of Codex: not just a coding assistant, but a supervised computer operator for bounded, inspectable jobs. The operator skill is shifting toward goals, sources, standards, permission boundaries, and proof of completion.

digestai-discourseagentscodexcomputer-useworkflowdelegation
Source handle nate-b-jones-only-1-in-1-600-people-use-codex-he. Links to https://www.youtube.com/watch?v=xqGCbEDbny8.
1 source
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digest_entry

Fable 5 Makes Agent Work a Verification Problem

Claude Fable/Mythos reactions pointed less to raw benchmark excitement than to a new operating problem: stronger agents need clearer proof, constraints, and governance. The day’s builder evidence reinforced that agent progress now depends on workflow design, evals, and disciplined tool use.

digestai-discourseclaude-fable-5agentscoding-agentsverificationai-governancetool-use
Source handle simonwillison. Links to https://simonwillison.net/2026/Jun/9/claude-fable-5/.Source handle simonwillison-2. Links to https://simonwillison.net/2026/Jun/9/andrej-karpathy/.Source handle nitter. Links to https://nitter.net/bcherny/status/2064431111154053187.Source handle simonwillison-3. Links to https://simonwillison.net/2026/Jun/10/if-claude-fable-stops-helping-you/.Source handle simonwillison-4. Links to https://simonwillison.net/2026/Jun/10/jeremy-howard/.Source handle nate-b-jones-stop-coding-start-steering-claude-v. Links to https://www.youtube.com/watch?v=R2-Y1Hjwx2U.Source handle ai-engineer-self-driving-products-product-signal. Links to https://www.youtube.com/watch?v=zMiSRliEzv4.Source handle ai-engineer-stop-making-models-bigger-make-them. Links to https://www.youtube.com/watch?v=TNwJ1LMiENk.
8 sources
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