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126 results for “ram_ev”

  1. benefit 26/9 ~ Autonomia energetica na Quinta do Ferro

    jardim do Provisório, na Quinta do Ferro, sábado, 26 de setembro às 13:00 GMT+1

    10 anos de horta e 5 anos de cantina solidária a respingar a água e a eletricidade. Vamos ajudar a levar energia sustentável até à Quinta do Ferro!

    Todos os sábados o jardim do Provisório, na Quinta do Ferro, recebe a cantina auto-organizada da RAM, que alimenta gratuitamente a vizinhança e todas as pessoas que se quiserem juntar. O próximo sábado não será exceção — mas, com a ajuda do À Mesa! e da Tundra, o almoço vai estender-se em festa pela tarde fora. Juntes vamos ajudar a cobrir os custos do sistema solar (de painéis, não planetas! :) ) que a RAM vai instalar, levando eletricidade sustentável até à cantina e à horta.

    programa de festas: vai haver…

    * Almoço delicioso (abóbora recheada e crumble de pêra com calda de ameixa) e, à tarde, pitas com recheios variados — tudo feito no forno de lenha!;

    * Conversa sobre painéis solares e autonomia energética — vem conhecer o sistema solar;

    * Concertos na horta, com canções da Riva Mut, sopros do vicente e feitiços de Enxara;

    * Muy aguardado DJ set de Okupers Fantasy;
    e ainda, ao longo do dia…
    * Banca do Provisório com conservas feitas com veggies do jardim e cerveja caseira;

    * Instalação com transparências retroprojetadas, em permanente criação e mutação coletiva.

    Bora dar sol ao apoio mútuo  <3

    eventos.coletivos.org/event/be

  2. benefit 26/9 ~ Autonomia energetica na Quinta do Ferro

    jardim do Provisório, na Quinta do Ferro, sábado, 26 de setembro às 13:00 GMT+1

    10 anos de horta e 5 anos de cantina solidária a respingar a água e a eletricidade. Vamos ajudar a levar energia sustentável até à Quinta do Ferro!

    Todos os sábados o jardim do Provisório, na Quinta do Ferro, recebe a cantina auto-organizada da RAM, que alimenta gratuitamente a vizinhança e todas as pessoas que se quiserem juntar. O próximo sábado não será exceção — mas, com a ajuda do À Mesa! e da Tundra, o almoço vai estender-se em festa pela tarde fora. Juntes vamos ajudar a cobrir os custos do sistema solar (de painéis, não planetas! :) ) que a RAM vai instalar, levando eletricidade sustentável até à cantina e à horta.

    programa de festas: vai haver…

    * Almoço delicioso (abóbora recheada e crumble de pêra com calda de ameixa) e, à tarde, pitas com recheios variados — tudo feito no forno de lenha!;

    * Conversa sobre painéis solares e autonomia energética — vem conhecer o sistema solar;

    * Concertos na horta, com canções da Riva Mut, sopros do vicente e feitiços de Enxara;

    * Muy aguardado DJ set de Okupers Fantasy;
    e ainda, ao longo do dia…
    * Banca do Provisório com conservas feitas com veggies do jardim e cerveja caseira;

    * Instalação com transparências retroprojetadas, em permanente criação e mutação coletiva.

    Bora dar sol ao apoio mútuo  <3

    eventos.coletivos.org/event/be

  3. benefit 26/9 ~ Autonomia energetica na Quinta do Ferro

    jardim do Provisório, na Quinta do Ferro, sábado, 26 de setembro às 13:00 GMT+1

    10 anos de horta e 5 anos de cantina solidária a respingar a água e a eletricidade. Vamos ajudar a levar energia sustentável até à Quinta do Ferro!

    Todos os sábados o jardim do Provisório, na Quinta do Ferro, recebe a cantina auto-organizada da RAM, que alimenta gratuitamente a vizinhança e todas as pessoas que se quiserem juntar. O próximo sábado não será exceção — mas, com a ajuda do À Mesa! e da Tundra, o almoço vai estender-se em festa pela tarde fora. Juntes vamos ajudar a cobrir os custos do sistema solar (de painéis, não planetas! :) ) que a RAM vai instalar, levando eletricidade sustentável até à cantina e à horta.

    programa de festas: vai haver…

    * Almoço delicioso (abóbora recheada e crumble de pêra com calda de ameixa) e, à tarde, pitas com recheios variados — tudo feito no forno de lenha!;

    * Conversa sobre painéis solares e autonomia energética — vem conhecer o sistema solar;

    * Concertos na horta, com canções da Riva Mut, sopros do vicente e feitiços de Enxara;

    * Muy aguardado DJ set de Okupers Fantasy;
    e ainda, ao longo do dia…
    * Banca do Provisório com conservas feitas com veggies do jardim e cerveja caseira;

    * Instalação com transparências retroprojetadas, em permanente criação e mutação coletiva.

    Bora dar sol ao apoio mútuo  <3

    eventos.coletivos.org/event/be

  4. Lady Shri Ram College’s danger zone: Dark 500m stretch in spotlight after minor’s gang-rape

    For students of Lady Shri Ram College, the evening commute from college to home often comes with a…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Mentalhealth #Delhi #Delhinews #Delhirapecase #Health #Kalkajirapecase #LadyShriRamCollege #lsrcollege #MentalHealth
    newsbeep.com/us/859103/

  5. Lady Shri Ram College’s danger zone: Dark 500m stretch in spotlight after minor’s gang-rape

    For students of Lady Shri Ram College, the evening commute from college to home often comes with a…
    #NewsBeep #News #Mentalhealth #delhi #Delhinews #Delhirapecase #Health #Kalkajirapecase #LadyShriRamCollege #lsrcollege #MentalHealth #UK #UnitedKingdom
    newsbeep.com/uk/781184/

  6. Follow-up to my Jev × Home Assistant post: two comments on the last one deserved a real answer, not just a reply.

    @oneclickclaw_io asked why not feed Jev's context to a small local model instead. Fair point - my prompts really were just snapshots (humidity *now*, flow *now*), no memory of what led there.

    @nocalla asked whether that's not exactly what the Bayesian sensor is for.

    Both got tested, not just answered:

    → Why not local: the box is an N100 mini PC, 4 cores, 16 GB RAM, no GPU, already running HA Core + recorder + Zigbee2MQTT. A local model's own numbers (from the router benchmark) put it at 1.5-3s/call on that class of hardware, several times an hour, contending with real-time Zigbee. And the actual gap was never model intelligence - Jev has a 32k-token window and was only getting ~565 tokens of *current* facts.

    → So instead: a compact-history script built on Home Assistant's own recorder statistics, a 24h house timeline, per-room humidity baselines, a broken-sensor safety net (turns out two humidity sensors had been stuck at 0% - again), per-decision shadow/active switches, and a feedback loop - "who was right?" on the phone, scored on a scoreboard, summarised every week.

    → Bayesian sensor: close, but not the same tool. You hand-estimate every probability yourself, it's strictly on/off, treats correlated clues as independent, and has no idea when its own inputs are lying. Jev takes plain facts, returns a full distribution over N options, and reasons over the whole state. Bayesian still wins for signals you already understand and want fully offline (occupancy, say) - and the two combine nicely.

    Real production numbers from the first days: 267 calls, ~206k tokens, $0.0087 that day. And a live finding I didn't expect: the VMC decision disagrees with its own rule 14/14 times at low confidence, while the shutters decision agrees 78/78 times - exactly why the per-decision switch earns its keep.

    Full write-up:
    blog.mornati.net/jev-home-assi

    #HomeAssistant #SmartHome #HomeAutomation #AI #LLM #SelfHosted

  7. Follow-up to my Jev × Home Assistant post: two comments on the last one deserved a real answer, not just a reply.

    @oneclickclaw_io asked why not feed Jev's context to a small local model instead. Fair point - my prompts really were just snapshots (humidity *now*, flow *now*), no memory of what led there.

    @nocalla asked whether that's not exactly what the Bayesian sensor is for.

    Both got tested, not just answered:

    → Why not local: the box is an N100 mini PC, 4 cores, 16 GB RAM, no GPU, already running HA Core + recorder + Zigbee2MQTT. A local model's own numbers (from the router benchmark) put it at 1.5-3s/call on that class of hardware, several times an hour, contending with real-time Zigbee. And the actual gap was never model intelligence - Jev has a 32k-token window and was only getting ~565 tokens of *current* facts.

    → So instead: a compact-history script built on Home Assistant's own recorder statistics, a 24h house timeline, per-room humidity baselines, a broken-sensor safety net (turns out two humidity sensors had been stuck at 0% - again), per-decision shadow/active switches, and a feedback loop - "who was right?" on the phone, scored on a scoreboard, summarised every week.

    → Bayesian sensor: close, but not the same tool. You hand-estimate every probability yourself, it's strictly on/off, treats correlated clues as independent, and has no idea when its own inputs are lying. Jev takes plain facts, returns a full distribution over N options, and reasons over the whole state. Bayesian still wins for signals you already understand and want fully offline (occupancy, say) - and the two combine nicely.

    Real production numbers from the first days: 267 calls, ~206k tokens, $0.0087 that day. And a live finding I didn't expect: the VMC decision disagrees with its own rule 14/14 times at low confidence, while the shutters decision agrees 78/78 times - exactly why the per-decision switch earns its keep.

    Full write-up:
    blog.mornati.net/jev-home-assi

    #HomeAssistant #SmartHome #HomeAutomation #AI #LLM #SelfHosted

  8. Follow-up to my Jev × Home Assistant post: two comments on the last one deserved a real answer, not just a reply.

    @oneclickclaw_io asked why not feed Jev's context to a small local model instead. Fair point - my prompts really were just snapshots (humidity *now*, flow *now*), no memory of what led there.

    @nocalla asked whether that's not exactly what the Bayesian sensor is for.

    Both got tested, not just answered:

    → Why not local: the box is an N100 mini PC, 4 cores, 16 GB RAM, no GPU, already running HA Core + recorder + Zigbee2MQTT. A local model's own numbers (from the router benchmark) put it at 1.5-3s/call on that class of hardware, several times an hour, contending with real-time Zigbee. And the actual gap was never model intelligence - Jev has a 32k-token window and was only getting ~565 tokens of *current* facts.

    → So instead: a compact-history script built on Home Assistant's own recorder statistics, a 24h house timeline, per-room humidity baselines, a broken-sensor safety net (turns out two humidity sensors had been stuck at 0% - again), per-decision shadow/active switches, and a feedback loop - "who was right?" on the phone, scored on a scoreboard, summarised every week.

    → Bayesian sensor: close, but not the same tool. You hand-estimate every probability yourself, it's strictly on/off, treats correlated clues as independent, and has no idea when its own inputs are lying. Jev takes plain facts, returns a full distribution over N options, and reasons over the whole state. Bayesian still wins for signals you already understand and want fully offline (occupancy, say) - and the two combine nicely.

    Real production numbers from the first days: 267 calls, ~206k tokens, $0.0087 that day. And a live finding I didn't expect: the VMC decision disagrees with its own rule 14/14 times at low confidence, while the shutters decision agrees 78/78 times - exactly why the per-decision switch earns its keep.

    Full write-up:
    blog.mornati.net/jev-home-assi

  9. Ah yes, the "forgotten history" of #RAM, where we dive into the riveting drama of re-enabling #JavaScript and cookies! 🍪🔄 Who knew unlocking the secrets of the universe required such advanced skills? Better call the IT department, we might be onto something big! 😂💻
    blog.coredump.cx/p/memory-the- #cookies #ITdepartment #techhumor #HackerNews #ngated

  10. Ah yes, the "forgotten history" of #RAM, where we dive into the riveting drama of re-enabling #JavaScript and cookies! 🍪🔄 Who knew unlocking the secrets of the universe required such advanced skills? Better call the IT department, we might be onto something big! 😂💻
    blog.coredump.cx/p/memory-the- #cookies #ITdepartment #techhumor #HackerNews #ngated

  11. Ah yes, the "forgotten history" of #RAM, where we dive into the riveting drama of re-enabling #JavaScript and cookies! 🍪🔄 Who knew unlocking the secrets of the universe required such advanced skills? Better call the IT department, we might be onto something big! 😂💻
    blog.coredump.cx/p/memory-the- #cookies #ITdepartment #techhumor #HackerNews #ngated

  12. Ah yes, the "forgotten history" of #RAM, where we dive into the riveting drama of re-enabling #JavaScript and cookies! 🍪🔄 Who knew unlocking the secrets of the universe required such advanced skills? Better call the IT department, we might be onto something big! 😂💻
    blog.coredump.cx/p/memory-the- #cookies #ITdepartment #techhumor #HackerNews #ngated

  13. RAM: the forgotten history (2024)
    L: blog.coredump.cx/p/memory-the-
    C: news.ycombinator.com/item?id=4
    posted on 2026.09.22 at 11:12:17 (c=0, p=3)

  14. Stellantis recalls nearly 240K Ram 1500 trucks for rearview camera problem

    article Stellantis is voluntarily recalling more than 239,000 2025 and 2026 Ram 1500 trucks because of a software…
    #Netherlands #Nederland #NL #Europe #Europa #EU #Stellantis #Consumer #News #Recalls
    europesays.com/netherlands/495

  15. Stellantis recalls nearly 240K Ram 1500 trucks for rearview camera problem

    article Stellantis is voluntarily recalling more than 239,000 2025 and 2026 Ram 1500 trucks because of a software…
    #France #FR #Europe #EU #Stellantis #consumer #News #Recalls
    europesays.com/france/84608/

  16. Stellantis recalls nearly 240K Ram 1500 trucks for rearview camera problem

    article Stellantis is voluntarily recalling more than 239,000 2025 and 2026 Ram 1500 trucks because of a software…
    #Netherlands #Nederland #NL #Europe #Europa #EU #Stellantis #Auto #Consumer #Lifestyle #News #Recalls
    europesays.com/netherlands/495

  17. Stellantis recalls nearly 240K Ram 1500 trucks for rearview camera problem

    article Stellantis is voluntarily recalling more than 239,000 2025 and 2026 Ram 1500 trucks because of a software…
    #France #FR #Europe #EU #Stellantis #Auto #consumer #Lifestyle #News #Recalls
    europesays.com/france/84578/

  18. Stellantis recalls nearly 240K Ram 1500 trucks for rearview camera problem

    article Stellantis is voluntarily recalling more than 239,000 2025 and 2026 Ram 1500 trucks because of a software…
    #France #FR #Europe #EU #Stellantis #consumer #News #Recalls
    europesays.com/france/84557/

  19. Stellantis recalls nearly 240K Ram 1500 trucks for rearview camera problem

    article Stellantis is voluntarily recalling more than 239,000 2025 and 2026 Ram 1500 trucks because of a software…
    #France #FR #Europe #EU #Stellantis #consumer #News #Recalls
    europesays.com/france/84550/

  20. Stellantis recalls nearly 240K Ram 1500 trucks for rearview camera problem

    article Stellantis is voluntarily recalling more than 239,000 2025 and 2026 Ram 1500 trucks because of a software…
    #France #FR #Europe #EU #Stellantis #consumer #News #Recalls
    europesays.com/france/84540/

  21. Stellantis recalls nearly 240K Ram 1500 trucks for rearview camera problem

    article Stellantis is voluntarily recalling more than 239,000 2025 and 2026 Ram 1500 trucks because of a software…
    #Netherlands #Nederland #NL #Europe #Europa #EU #Stellantis #Consumer #News #Recalls
    europesays.com/netherlands/494

  22. Stellantis recalls nearly 240K Ram 1500 trucks for rearview camera problem

    article Stellantis is voluntarily recalling more than 239,000 2025 and 2026 Ram 1500 trucks because of a software…
    #Netherlands #Nederland #NL #Europe #Europa #EU #Stellantis #Consumer #News #Recalls
    europesays.com/netherlands/494